Guidelines for Regulated Cell Death Assays: A Systematic Summary, A Categorical Comparison, A Prospective

Over the past few years, the field of regulated cell death continues to expand and novel mechanisms that orchestrate multiple regulated cell death pathways are being unveiled. Meanwhile, researchers are focused on targeting these regulated pathways which are closely associated with various diseases for diagnosis, treatment, and prognosis. However, the complexity of the mechanisms and the difficulties of distinguishing among various regulated types of cell death make it harder to carry out the work and delay its progression. Here, we provide a systematic guideline for the fundamental detection and distinction of the major regulated cell death pathways following morphological, biochemical, and functional perspectives. Moreover, a comprehensive evaluation of different assay methods is critically reviewed, helping researchers to make a reliable selection from among the cell death assays. Also, we highlight the recent events that have demonstrated some novel regulated cell death processes, including newly reported biomarkers (e.g., non-coding RNA, exosomes, and proteins) and detection techniques.

Introduction

Cell death is generally classified into two types: accidental cell death (ACD) and regulated cell death (RCD). RCD is regarded as reversible and can be blocked by small inhibitors (Wang S. et al., 2017; Cheng et al., 2018; Kumar and Sandhir, 2018; Wang et al., 2019c, d). Various programs of RCD have been described and their research continues to progress, including apoptosis (extrinsic and intrinsic), regulated necrosis (namely necroptosis), autophagy-dependent cell death (e.g., autosis), pyroptosis, ferroptosis, NETosis, parthanatos, entotic cell death, anoikis, lysosome-dependent cell death, and mitotic death (Kroemer et al., 2005; Galluzzi et al., 2018). Both in technical research and mechanism mining, the research into these types of RCDs has made great progress, and we have selected in-depth research and rapid recent development of the knowledge of RCDs as an illustration, including apoptosis, necroptosis, autophagy, pyroptosis, ferroptosis, and NETosis.

With the development of RCD studies, the detection methods have been improved simultaneously and diversified for accurate identification and systematic analysis. The history of RCDs began in 1842 when dying cells were noticed by Karl Vogt in toads (Tang et al., 2019). In Lockshin and Williams (1964) reported an orderly and predictable pattern of birth and death at the cellular level, called metamorphosis, a phenomenon with pycnotic nuclei, shrunken and degenerated mitochondria, and conspicuous lysosome-like bodies observed via light and electron microscopy (EM) (Lockshin and Williams, 1964, 1965). Apoptosis was termed “shrinkage necrosis” in Kerr (1971); Kerr et al. (1972) distinguished two types of cell death (apoptosis and necrosis) in human pathology samples, focusing on cell morphology, and described necrotic cells as swollen cells with swollen organelles.

The first description of pyroptosis was reported in Zychlinsky et al. (1992), but the term “pyroptosis” was first coined in Cookson and Brennan (2001) after an observation of bacteria-infected macrophages going through a rapidly caspase 1-dependent lytic cell death pathway.

In the early 21st century, necrosis was previously considered to be uncontrollable, but it was recently revised as a partly regulated mechanism, namely necroptosis, involving mitochondrial permeability transition through morphological and biochemical detection (Vercammen et al., 1998; Holler et al., 2000; Baines et al., 2005). The discovery of ferroptosis has come a long way since the 1950s, although it was only named in Dixon et al. (2012). In the following year, the term “autosis” was described by Beth Levine following the observation of a subtype of cell death associated with autophagy induced by nutrient deprivation or Tat-Beclin 1 [one of the peptides inducing autophagy by BECN1 and human immunodeficiency virus (HIV) Tat protein] (Liu et al., 2013). Novel observations regarding neuronal cell death continue to be reported frequently, both refining and redefining known paradigms of cell death, such as apoptosis, necroptosis (Arrazola and Court, 2019), autophagic cell death (Liu and Levine, 2015), ferroptosis (Dixon et al., 2012), and pyroptosis (Fink and Cookson, 2006) (the timeline of the RCDs research is depicted in Figure 1).

FIGURE 1

Figure 1. Timeline of the mile stone of cell death research. Abbreviations: Bcl-2: B-cell leukemia/lymphoma-2, CED-9: Cell death abnormality gene 9, RIPK3: Receptor-interacting serine/threonine-protein kinase 3, MLKL: Mixed lineage kinase domain like pseudokinase, PCD: Programmed cell death, CD95: cluster of differentiation 95.

All of the discovery in RCDs requires accurate identification techniques, including superficial morphological detection, but the changes in detail are indistinguishable at the morphological level. Biochemical detection, which refers to multiple biomarkers, and functional perspectives based on functional changes, such as assays related to the molecular mechanism of the RCD-related genes (Hengartner and Horvitz, 1994), have widely used flow cytometry in RCDs detection, cytosolic DNA assays, and nucleic acid kits (Boldin et al., 1996; Li et al., 1997, 1998; Luo et al., 1998; Paludan et al., 2019). Various signature proteins involved in cell death have been reported and researchers make use of these proteins in cell death assays. The discovery of the main proteins is shown in the timeline in Figure 1.

Regulated cell death is closely related to physiological and pathological processes, including inflammation, neurodegenerative diseases, immunological diseases, and cancer (Anderton et al., 2020). Therefore, targeting the regulatory mechanisms of RCD is becoming a great opportunity to discover new therapies to target regulated pathways and identify potential drug targets. They can also act as potential targets in diagnosis and prognostic evaluation. Each of the RCDs has a unique molecular mechanism, with special morphological characteristics, and they have established complex connections with each other. Fully understanding their various detection methods, as well as their advantages, is necessary for the efficiency and accuracy of their detection. We have summarized and compared the signaling pathways regulating cell death, mainly including apoptosis, necrosis, autophagy, ferroptosis, pyroptosis, and NETosis, in these aspects: morphology, biochemistry, and function (a brief summary is available in Table 1).

TABLE 1

Table 1. Comparison of five types of RCDs.

Cell Viability Assays

Once cell death is induced, the plasma membrane integrity would be destroyed, or before losing its integrity, the corpse or fragments of the cell would be engulfed by neighboring cells in vivo. The cells’ contents can also be exposed or even lost (e.g., the spillage of cytosolic lactate dehydrogenase (LDH), the exposure of DNA), the activity of intracellular enzymes could decline (e.g., succinate dehydrogenase), and a reduction in intracellular adenosine triphosphate (ATP) is observed, which reflects the cellular energy capacity and viability. In view of these phenomena, spectrophotometry, fluorometry, flow cytometry, and microscopy are utilized for cell viability assays.

Spectrophotometry

Spectrophotometry is a qualitative or quantitative analysis of signal material through the absorption of a certain range of wavelengths. Using spectrophotometry to monitor the metabolic activity of cells is regarded as an indicator of cell viability, such as succinate dehydrogenase (SDH) activity analysis, the cytosolic LDH release analysis, certain proteins, and DNA binding by crystal violet staining. The principle of these technologies, in summary, is that the light absorption value of certain markers can be measured by a microplate enzyme for a qualitative or quantitative analysis of cell viability.

Some limitations of SDH activity analysis are as follows: (1) In dead cells, SDH is often still partially active, resulting in being erroneously scored as living cells when it comes to the early stages of apoptosis. (2) Not only cell death, but also other physical and chemical factors can lead to a decrease of enzyme activity, which leads to a false-positive or false-negative result. (3) The activity of an enzyme is variant in different tissue or cells, such as a lesser degree of SDH activity being present in neural and hepatic tissues, which easily leads to errors (Bernocchi and Barni, 1983). (4) The process of MTT conversion is also affected by various conditions, such as the cellular confluency and the culture medium exhaustion, which could lead to under-estimating the cell viability. (5) Some other solutes might elevate background signals by absorbing the same range of wavelengths, such as media containing phenol red, which leads to an increased cell viability range in the assay. All in all, SDH activity analyses of cell viability are usually used in conjunction with other techniques to improve their accuracy.

Crystal violet staining binding by certain proteins and DNA is suitable for monitoring the effect of various compounds (e.g., chemotherapeutics) on cell growth or survival as a reliable and quick screening measure (Geserick et al., 2009). However, some of the special cases would be potentially compromised due to the changed adherent properties of cells, such as the proliferative responses that occur in conjunction with cell death responses or the steps of repeated washing, which might sometimes lead to detached living cells, causing artifacts, especially when there is a higher cell density (Feoktistova et al., 2016).

As for the cytosolic LDH release analysis, some caution should be exercised regarding the instability and proteolytic degradation of LDH activity, since some of the factors may interfere with the results, such as the time spent, the pH, and the specific components present in the culture medium (e.g., pyruvate) (Kendig and Tarloff, 2007).

Fluorometry, Flow Cytometry, and Microscopy Assay

The plasma membrane integrity is followed by the exposure of intracellular contents, and the dye could enter and bind to these contents in the dead cell. For identifying leaking cell contents and lost membrane integrity, researchers often use a targeted approach for detection, such as light microscopy to detect trypan blue positive cells, and fluorometry and flow cytometry are used for identifying leaking cell contents. The detailed descriptions of each of these technologies is shown below.

Using technologies such as flow cytometry and light microscopy, the dead cells are indicated indirectly. For example, in DNA-binding, impermeant fluorescent dyes are used for detection, such as propidium iodide (PI), 7-amino actinomycin D (7-AAD) or the Sytox probes (Life Technologies) (Riccardi and Nicoletti, 2006; Zembruski et al., 2012, Thakur et al., 2015). For instance, during apoptosis, PI is able to bind and label DNA fragments and makes it possible to provide a rapid (in about 2 h) and precise method for evaluating intracellular DNA fragments through flow cytometry, and subsequently identifying the hypodiploid cells (Riccardi and Nicoletti, 2006). Compared with crystal violet staining analysis by spectrophotometry as mentioned above, this reduces the steps used to wash cells.

Notably, trypan blue staining could detect all forms of cell death, but differentiating among the specific types of cell death needs further testing (Crowley et al., 2016a). Moreover, other assays for detecting the loss of plasma membrane integrity have been adapted, such as immunocytochemistry to assay protein translocation, and 4′,6′-diamidino-2-phenylindole (DAPI) staining to assay nuclear fragmentation (Crowley et al., 2016b). For example, immunocytochemistry, such as for cytochrome c, is regarded as an essential tool for understanding and characterizing the mitochondrial apoptosis pathway (Crowley et al., 2016c).

Determining Cell Morphology of RCDS

Incipiently, differentiating RCDs usually relied on morphological changes limited by techniques while the three major types of cell death are identified (type I cell death refers to apoptosis, type II cell death corresponds to autophagy-dependent cell death, type III cell death is related to necrosis) (Kerr, 1971; Lin et al., 1973). In Lockshin and Williams (1964) the American biologist Richard A Lockshin thoroughly described PCD (Lockshin and Williams, 1965), and in Kerr et al. (1972), the Australian pathologist John F Kerr and his colleagues coined the term “apoptosis.” They analyzed RCDs based on morphological changes. Later, the Nomenclature Committee on Cell Death (NCCD) updated the classification system of cell death through more comprehensive aspects, including classification (Kroemer et al., 2005, 2009), molecular definitions (Galluzzi et al., 2012), essential vs. accessory terms (Galluzzi et al., 2015), and molecular mechanisms (Paredes-Gamero et al., 2012). Meanwhile, the technology of RCDs detection is developing rapidly. To date, these detection techniques have been developed for monitoring the morphology of RCDs, such as light microscopy (Paredes-Gamero et al., 2012), EM, transmission electron microscopy (TEM) (ultrastructural changes and chromatin condensation in the cells) (Dong et al., 2015), scanning electron microscopy (surface changes of cells or tissues) (Burattini and Falcieri, 2013), atomic force microscopy (whole-process changes in RCDs) (Kuznetsov et al., 1997; Hessler et al., 2005; Sborgi et al., 2016), fluorescence microscopy (FM) (specific fluorescence labeling such as NAD(P)H-labeled in apoptosis) (Alturkistany et al., 2019), and practical flow cytometry (number and rate of dead cells) (Yasuhara et al., 2003; Paredes-Gamero et al., 2012; Liao S. et al., 2019).

As the most intuitive means, morphologic detection also refers to many different aspects: the alterations of the membrane (e.g., the loss of membrane integrity), the changes in cytoplasmic contents (e.g., mitochondrial damage), and the alterations of the nucleus and DNA. Each of the RCDs has their own iconic characteristic presented through immunohistochemistry (IHC) or various fluorescent dyes and high-resolution microscopy (Figure 2).

FIGURE 2

Figure 2. Morphological changes of regulated cell death. Different types of cell death inducing with various pathways present diverse morphological changes. (A) The formation of autophagosomes is the typical characteristic of autophagy. ATG12-ATG5-ATG16L1 complex and LC3-II contribute to the extension of the phagophore. When the autophagosome is completely formed, LC3-II will separate from the outer membrane, and the autophagosome fuses with the lysosome so that an autolysosome finally emerged. (B) As for apoptosis, in the early stage, the nuclear condensation starts with cell shrinkage. During later stages, nucleus breaks up and the plasma membrane bubbles with no rupture, naturally associating with no inflammation. Finally, it forms apoptotic bodies. (C) Being different from apoptosis, after cell swelling and large bubbling, pyroptosis has plasma membrane rupture in the final stage. (D) When it comes to necroptosis, the appearance of cell swelling often followed by organelles dilation, and the nucleus disintegrates late. In some cases, chromatin condensation also occurs. Finally, with the rupture of plasma, a massive inflammation in the tissue is triggered. (E) The morphological characteristics of ferroptosis, however, mainly reflects on the changes of mitochondria. Compared with organelles swelling in necroptosis, here in the first stage, the mitochondria become smaller and membrane densities are elevated, followed by mitochondria crista reduction and plasma membrane rupture.

Time-Lapse Microscopic Analysis

Time-lapse microscopic analysis, involving a temperature and CO₂-controlled incubator, has benefits for monitoring a biological process over a time period, which may last from a few hours to several days (Wallberg et al., 2016b). It can be suitable for a comparative and dynamic study of single cells in vivo or in culture shown as automated imaging of visible cell surface changes. This technique could be recorded via using differential interference contrast (DIC) optics either alone or in combination with epifluorescence microscopy specifying a predefined delay between the acquisition of images. The related parts of this technology may be changed slightly, generally including a Leica ASMDW live cell imaging system (Leica Microsystems, Mannheim, Germany), which includes a DM IRE2 microscope equipped with an HCX PL APO 63/1.3 glycerin corrected 37°C objective and a 12 bit Coolsnap HQ Camera (Cappellini et al., 2005; Krysko et al., 2008; Chan et al., 2011).

After staining with combinations of dyes, cell death can be visualized. These dyes include Alexa Fluor 647-conjugated Annexin V and Sytox Green (SG), or Annexin VFITC and PI. Recently, fluorescent probes have been developed to improve the accuracy during detection, such as two-related fluorescent probes, namely molecular conjugates of one or two zinc dipicolylamine (ZnDPA) coordination complexes with an appended solvatochromic benzothiazolium squaraine dye targeting the anionic phospholipids and phosphatidylserine (PS) exposed on the surface of dead or dying cells (Jarvis et al., 2018). This method is considered the best choice to distinguish between necrosis and apoptosis morphologically (Wallberg et al., 2016b). Annexin V staining using fluorescein isothiocyanate (FITC) could be used to detect apoptosis through binding to PS in the presence of Ca²⁺ (Vermes et al., 1995; Baskic et al., 2006). In necrosis, Annexin V staining can present a positive, so researchers always use double staining of Annexin V and PI to confirm necrosis (Vermes et al., 1995), and it has been proven that ^99mTc-radiolabeled Annexin V is the most successful marker (Brauer, 2003).

Obtaining the data of cell morphology in apoptosis is described as: roundness, blebbing, the breaking up of cell fragments into apoptotic bodies (a process called “budding”), which are eventually degraded within phagolysosomes, and nuclear condensation (karyopyknosis) and fragmentation (karyorrhexis), and it always happens in small clusters of cells or individual cells without inflammation. After that, apoptotic cells are consumed via phagocytic systems in vivo, or eventually lose the integrity of their plasma membrane and undergo secondary necrosis, which is characterized by plasma membrane permeabilization and osmotic swelling without phagocytosis. As for necroptosis, cellular swelling and a balloon-like-structure formation (“oncosis”) are regarded as the major characteristic changes with inflammation.

However, it can also be challenging to distinguish apoptosis from necroptosis because undergoing secondary necrosis might occur in apoptotic cells where Annexin V-binding can enter cells through a broken membrane. To avoid this case, the combination of Annexin V and noncell permeable DNA stains (e.g., PI or SG) is adopted (Wallberg et al., 2016b; Jarvis et al., 2018).

Time-lapse microscopic assays can also be used to show some of the specific molecular markers, such as DNA, RNA or proteins involved in their molecular pathways and functions through using fluorescent molecular probes, such as monitoring autophagy via time-lapse microscopy to track Parkin (a protein implicated in mitophagy) fused with fluorescent enhanced yellow fluorescent protein (EYFP) (Di Sante et al., 2016). This method has advantages for collecting information at the single-cell level. However, assays based on time-lapse microscopy are susceptible to some factors (e.g., vibrations, the fluctuations of temperature and humidity, pH and cell motility, etc.) that may interfere with the acquisition of high-quality images (Di Sante et al., 2016).

EM Analysis

Electron microscopy analysis has always supplied us with a great deal of data in cell death research, in which TEM benefits from its much higher resolving power (0.1-0.4 nm) and scanning electron microscope (SEM) also offers high resolving power (about 1 nm). TEM makes it possible to better understand the relationships between a biological structure and its function at the cellular, subcellular, and even molecular levels through two- and three-dimensional images of the cells to distinguish different forms of RCDs, which is considered as a “golden standard” (Ericsson, 1969; Krysko et al., 2008). SEM, a kind of observation at the level between TEM and the light microscope, could emerge as a good method to provide a delicate imaging stereo effect of the surface of the cells with a magnification of 300,000 times or more. SEM is utilized for topographic imaging of bulk samples suited for low energy EM, whose maximum electron energies are at 30 keV (Sun et al., 2018). In addition, SEM combined with other analytical instruments can be used to observe the microscopic morphology and to carry out a composition analysis of the material microregion. However, many researchers consider EM analysis to be time-consuming and expensive.

Meanwhile, the preliminary substrate preparation of dying cells for EM could be difficult during the intermediate process because it may cause damage to the original morphology of the RCDs, especially when they detach the dying cells from their substrate, typically resulting in spinning down these floating cells. Recently, EM has been optimized continuously; for example, using macrophages or cytospinning to capture the cells prevents interference with their cell morphology (Vanden Berghe et al., 2013; Crowley et al., 2016d).

SEM/STEM/TED imaging can capture a wealth of information and focused ion beam scanning electron microscopy (FIB/SEM) (Knott et al., 2011), one of the three-dimensional EMs, is being increasingly adopted in life sciences. It is worth noting that the discovery of cryo-electron microscopy (cryo-EM), leading to a detailed or realistic display of ultrastructure in cells, may provide more convincing evidence in RCDs (Li et al., 2018; Fitzpatrick and Saibil, 2019).

Determining Cell Morphology in Apoptosis

As for apoptosis, people have marked it by the typical morphological changes: cell shrinkage, DNA fragmentation (karyorrhexis), chromatin changes during condensation and margination, a ruffling plasma membrane, and breaking up of cell fragments into apoptotic bodies (a process called “budding”), which are eventually degraded within phagolysosomes. Previously, light microscopy has identified the morphological changes occurring during apoptosis with cellular shrinking and pyknosis (Kerr et al., 1972). After hematoxylin and eosin stain (HE staining), the histologic characteristics of apoptosis are defined as confirming a round or oval mass, a red-stained eosinophilic cytoplasm, and purple-dense nuclear chromatin fragments, usually occurring in small clusters of cells or individual cells without inflammation. Besides, the more detailed morphological changes have been confirmed by EM, which could better present the subcellular changes, such as the most characteristic feature of apoptosis, pyknosis in which uniformly dense masses of chromatin are formed and distributed against the nuclear envelope after chromatin condensation (Hacker, 2000; Zucker et al., 2000). Additionally, the loss of cell-to-cell contacts and microvilli are visible in the images (Kerr et al., 1994; Cummings et al., 1997).

Determining Cell Morphology in Necroptosis

Compared to apoptosis, necrosis emerges as a general swollen cell (oncosis) and the swelling of the cytoplasmic organelles (e.g., swollen mitochondria), poorly demarcated clumps of chromatin, a rapid loss of plasma membrane integrity, and the release of cytoplasmic contents, which is uncontrolled and passive, and eventually, the changes of nuclear morphology are described as pyknosis, karyorhexis, and karyolysis. In detail, the major morphological changes during necrosis could be summarized as: (1) nucleus: pyknosis for the nuclear dehydration, karyorhexis (nuclear fragmentation), karyolysis (without the visible outlines of the nuclei); (2) cytoplasm: cytoplasmic vacuoles forming; endoplasmic reticulum swelling; cytoplasmic blebs forming; mitochondria condensing, swelling or breaking up; ribosomes disaggregating and rupturing; (3) others: cellular swelling; membranes disrupting; eventually; an inflammatory response occurring (Trump et al., 1997). Necrosis is another form of cell death that has some similar aspects to apoptosis, due to several processes like the morphologies and mechanisms shared between them (Kerr et al., 1972; Zeiss, 2003). The characteristic morphology in necrotic cells, such as cytoplasmic swelling, is due to the membrane permeabilization being an early event. Losing membrane permeability in apoptotic cells occurs relatively late.

Determining Cell Morphology in Autophagy

Acting as a non-invasive response to cell death with the formation of large-scale autophagic cavitation, autophagy contributes to maintaining the balance of the cellular structure, metabolism, and biological function for homeostasis (Deter and De Duve, 1967; Mizushima and Komatsu, 2011). There are three types of autophagy according to the pathways in which cargoes or phagocytes are transported into lysosomes: microautophagy, macroautophagy, and chaperone-mediated autophagy (CMA) (Rogoza et al., 2004). A comparison of these three forms of autophagy is shown in Table 2. Remarkably, the application of TEM has promoted the progression of autophagy from the phagolysosome to related protein imaging using the cryo-EM structure (Ohsumi, 2014; Hurley and Nogales, 2016).

TABLE 2

Table 2. Comparison of distinguishing criteria, morphological features and monitoring methods of three kinds of autophagy.

Macroautophagy

Among the three types of autophagy, macroautophagy has been studied extensively and clearly. It is induced under stress stimulus, resulting in maintaining cell growth through specifically degrading damaged or superfluous organelles or leading to various human pathologies, including lung, heart, neuron, and liver disease, cancer, myopathies, aging and so on, after excessive self-degradation (Yorimitsu and Klionsky, 2005; Parzych and Klionsky, 2014; Pastuhov et al., 2016). Morphologically, the autophagosome is one of the distinct features forming by expansion as well as de novo rather than membrane budding from an already contained cargo (du Toit et al., 2018). The membrane expands and bends, and then a spherical autophagosome is generated. Using electron microscopic examination of the obverse, it has been found that the diameter of autophagosomes ranges from 0.5 to 1.5 μm in mammals and ∼0.4 to 0.9 μm in yeast (Takeshige et al., 1992; Gu et al., 2020). Besides autophagosomes, autophagy precursors (which include the cytoplasm, organelles, or bacteria) and autophagolysosomes (autophagosomes that bind to the lysosome) are also vital subcellular structures.

Microautophagy

For microautophagy, most of the research has focused on yeast and describes its transport pathway as cytoplasmic contents are transported into the lysosome within the lysosomal membrane invagination (Marzella et al., 1981). De Duve et al. first observed microbodies in autophagy using EM (Baudhuin, 1966). Also, Sakai et al. observed the process of microautophagy using vacuoles and microbodies of yeast with fluorescent double-labeling (Itoh et al., 1998). Then, nucleus microautophagy in yeast was reported by Roberts et al. (Fernandez et al., 2003). Early on, using EM, people noticed the free-floating vesicles within the lysosome through englobing Percoll particles by way of cup-like invaginations of the lysosomal membrane (Marzella et al., 1980). Recently, nucleophagy, which targets autophagic degradation as nuclear material, has helped in elucidating the endosomal microautophagy transports detected by indirect immunofluorescence techniques (Otto and Thumm, 2020). Microautophagy is so small that TEM is needed to see it clearly. Due to the limitations of technology, we know little about microautophagy, including the inducing factors, the mechanism, and its role in the disease processes (Mijaljica et al., 2011; Sato et al., 2019; De Falco et al., 2020).

Chaperone-mediated autophagy

Compared with microautophagy and macroautophagy, one of the nonspecific pathways to engulf the cytoplasm, CMA, is highly specific and refers to a specific substrate (a compound formed by a pentapeptide sequence that is biochemically related to KFERQ, namely Lys-Phe-Glu-Arg-Gln and HSPA8/HSC7, the heat shock 70 kDa protein 8) and specific receptor LAMP2A, the lysosomal-associated membrane protein 2A (Chiang et al., 1989; Dice, 1990). The morphological changes of CMA are not obvious, so immunofluorescence analyses, western blots, and other biochemical methods play crucial roles in CMA assays (Wu et al., 2019).

Non-canonical autophagy

Besides these classical autophagy pathways, the recent identification of non-canonical autophagy pathways, such as LC3-associated phagocytosis (LAP) and LC3-associated endocytosis are showing impact on cell viability (Martinez et al., 2016). This non-canonical autophagic process relies on Rubicon (rubicon autophagy regulator [RUBCN]), contributes to immunosuppression (Sil et al., 2020). And these specific pathways have been reported to underly the pathogenesis of various diseases. For example, LAP is closely related to systemic lupus erythematosus (SLE) (Bandyopadhyay and Overholtzer, 2016; Martinez et al., 2016), tumor (Cunha et al., 2018). And LC3-associated endocytosis has been shown to be protective against neuronal cell death in Alzheimer’s Disease (Heckmann et al., 2020a, b). Similar to canonical autophagy, LAP require ATG-7/-3/-5/-12/-16L for LC3 lipidation (Martinez et al., 2011, 2015). But unlike autophagy, LAP is a process requiring NADPH oxidase-2 (NOX2)5, and Rubicon5 (Martinez et al., 2015), and LAP is independent of the pre-initiation complex containing ULK1 and FIP200 and proceeds with a distinct Beclin 1-VPS34 complex lacking ATG14 (Florey et al., 2011; Martinez et al., 2011; Kim et al., 2013).

All in all, these three canonical autophagy pathways could deliver the cargo to the lysosome to degrade and recycle while each of them features with different morphology. The formation of autophagosome is regarded as characteristic changes during macroautophagy, which is formed by portions of the cytosol and intact organelles (e.g., mitochondria) sequestered into a double-membrane vesicle (Mijaljica et al., 2011). By contrast, microautophagy involves the direct engulfment of cytoplasm at the lysosome surface requiring the EM for detecting, whereas CMA refers to a process delivering soluble and unfolded proteins directly across the limiting membrane of the lysosome (Massey et al., 2004).

Determining Cell Morphology in Ferroptosis

As an oxidative, iron-dependent form of RCD, ferroptosis is induced through an excess accumulation of reactive oxygen species (ROS) and lipid peroxidation products (Dixon et al., 2012; Chen et al., 2020). When undergoing ferroptosis, dysmorphic small mitochondria or mitochondria shrinkage with enlarged and reduced crista, and a condensed and ruptured membrane can be detected morphologically using an electron microscope (Dixon et al., 2012; Friedmann Angeli et al., 2014; Doll et al., 2017). Although relevant research in ferroptosis has made rapid progress, using mitochondrial morphology to distinguish ferroptosis is still highly debatable since there is a lack of studies on the correlation between mitochondria and ferroptosis (Dixon et al., 2012; Gaschler et al., 2018).

Determining Cell Morphology in Pyroptosis

Pyroptosis refers to a process in which the pores on plasma membranes are gradually formed, inflammatory cytokines are released, and the lysed cells are induced through the canonical caspase-1-mediated monocyte death or the non-canonical caspase-4/5/11 inflammasome pathways (He et al., 2019; Wang et al., 2019e). The morphological changes during pyroptosis include cell swelling, which is induced through entering water molecules, the formation of 10-15 nm pores in the plasma membrane, and the eventual release of pro-inflammatory cytokines (interleukin-1β (IL-1β) and interleukin-18 (IL-18)), distinct from apoptosis without inflammatory release (Lu et al., 2020). Activating caspases, an N-terminal cleavage product (GSDMD-NT) would be generated, which triggers inflammatory death (pyroptosis) and the release of inflammatory cytokines such as IL-1β 1,2 (Shi et al., 2015). Notably, it is visible by EM since GSDMD-NT oligomerizes in membranes to form pores to trigger pyroptosis (Liu et al., 2016). These morphological changes have been observed in smooth muscle cells (SMC), endothelial cells (EC), macrophages, phagocytes, astrocytes and neurons, and additional research on its mechanism and technical studies are needed in the future (Liu et al., 2018, 2020).

Determining Cell Morphology in NETosis

NETosis, one of the RCD types which was first described in 2004, is regarded as a program for formation of neutrophil extracellular traps (NETs) initiating a fight against pathogens and linking to various diseases (Brinkmann et al., 2004). According to the viability of cells, NETosis could be divided into two different forms, namely classical or suicidal NETosis resulting in the cell death, and vital NETosis retaining viability. The typical morphological changes of classical NETosis are described as chromatin decondensation associated with histone modification, and the release of granule components into the cytosol, as well as many characteristic features which are the same as other forms of RCDs (such as the changes in the nucleus and in the cytoplasm during apoptosis, necroptosis, pyroptosis, and autophagy (Vorobjeva and Chernyak, 2020). As for vital NETosis, it refers to a massive and very fast release of mitochondrial DNA (mtDNA) without loss of viability, when neutrophils retain their viability and natural effector functions (Yousefi et al., 2008, 2009).

Flow Cytometry Assay

Flow cytometry is used as a general measure for rapid analysis of a large number of cells individually, which detects up to 10,000 cells per second. Based on the cellular characteristics, including the size, granularity and morphology of the cells, the integrity or potential of the cell membrane, the intracellular pH, and the levels of cellular contents such as surface receptors, proteins, the ions (e.g., calcium), DNA, and RNA, flow cytometry could provide data to distinguish RCDs through the use of fluorescence, absorbance measurements, and light-scattering.

Currently, flow cytometry is used not only in cell counting but also in image analysis, namely multispectral imaging cytometry for multiparameter studies on cell demise (Lelliott et al., 2019; Cerrato et al., 2020). Morphology-based flow cytometry assays are used to identify RCDs, such as the percentage of apoptotic cells that are indicated based on the cells exhibiting nuclear fragmentation as well as a low nuclear area and a bright detail intensity. Various staining approaches such as 1 μM camptothecin (CPT; Sigma, a DNA topoisomerase I inhibitor) for 6 hours, fixed and stained with PI, and collected on the ImageStream (George et al., 2004), can be applied. Moreover, cells undergoing autophagy can be identified through visualizing fluorescently labeled lysosomal markers, and LC3 puncta labeled and/or the co-localization of fluorescently labeled LC3 using flow cytometry provide benefit in an objective, quantitative, and statistically robust manner (Pugsley, 2017). Also, the loss of plasma membrane integrity using cell-impermeant dyes could be assessed through a morphology-based flow cytometry assay to detect cell viability (Vanden Berghe et al., 2013). Furthermore, flow cytometry is often used to monitor RCDs with biomarkers and we will discuss this below.

Confocal Laser Scanning Microscopy

Detection work needs a point scanning confocal microscope with good optical efficiency. Importantly, a good lens with a long working distance and high NA determines the rendering effect. The Leica TCS4D or SP1 with a Leica inverted IRMB microscope and an Argon-Krypton laser (Omnichrome, Chino, CA, United States) emitting 3 wavelengths (488, 568, and 647 nm) have been used in confocal microscopy (Zucker and Rogers, 2019). A 5 × or 10 × objective with a high numerical aperture (NA) and the lenses including Zeiss 5 × fluor (NA 0.25), Zeiss 10 × fluor (NA 0.5), Leica 10 × Plan APO (NA 0.5), and Leica multi-immersion 10 × (NA 0.4), also a Zeiss lens fitting on a Leica microscope whose magnification could be increased by 20%, are available (Zubairova et al., 2019; Zucker and Rogers, 2019). Confocal microscopy could provide a visible three-dimensional structure as a good indicator for RCDs visualization, and it is also flexible and fast except for some cumbersome processes, namely staining, fixation, dehydration, and clearing (Zucker and Rogers, 2019). For example, confocal microscopy is used to provide insights into the dynamics of cell death with the fluorescent dyes fluorescein diacetate (FDA) and PI (Jones et al., 2016). Also, the research into mitophagy using confocal microscopy and the subcellular localization of ceramide in mitochondria were visualized by colocalization of ceramides and mitochondria (Sentelle et al., 2012).

FM

Fluorescence microscopy is often utilized to monitor RCDs via not only detecting specific markers, but also for evaluating cell nucleus damage and DNA, leading to direct visualization of pathophysiological processes with sub-cellular resolution. On this basis, FM is constantly being improved for various requirements in detection, such as fluorescence lifetime imaging microscopy (FLIM) being used to monitor caspase-3 activity during apoptosis (Buschhaus et al., 2017, 2018). Moreover, autolysosomes for autophagy detection can be visible via the colocalization of LC3 and lysosomal markers by FM (Yoshii and Mizushima, 2017; Bhutia et al., 2019). Caspase-1 activity assays for pyroptosis detection could also be adapted to FM, such as with a Nikon ECLIPSE TE2000-U FM in Tokyo, Japan (Liao Y. et al., 2019). The changes of the nuclei could therefore be identified through FM to distinguish apoptotic cells from healthy cells or necrotic cells for staining with DAPI or other dyes (Crowley et al., 2016). DAPI or Hoechst 33258, 33342, and 34580 are often used to monitor DNA fragmentation or damaged cell nuclei through binding to A-T base pairs lining the minor groove of double-stranded DNA (Eriksson et al., 1993; Martin et al., 2005). FM has tended to be artificially intelligent, and its probes have become smaller and more prominent with more precise targeting options.

Intravital Multiphoton Microscopy

People also pay more attention to RCDs monitoring in vivo. Intravital multiphoton microscopy has been developed in the cell death process for monitoring at the cell level in tissues in vivo (Mesa et al., 2015). It is an objective and real-time technique for capturing morphological changes during RCDs (e.g., apoptosis characteristics with membrane blebbing and ApoBD formation) in vivo with a fluorescence resonance energy transfer (FRET)-based caspase 3 activation reporter (Garrod et al., 2012; Mayer et al., 2017). For staining, poly ((3-((4-methylthiophen-3-yl)oxy)propyl) triphenylphosphonium chloride) (PMTPP), one of the fluorescent sensors or stains used for monitoring ATP levels in cell membranes to monitor cell death processed in vivo through FM, is available (Huang et al., 2017). To make the detection in RCDs more realistic, standard, noninvasive, clinical, magnetic resonance imaging and spectroscopy (MRI/MRS), computed tomography (CT), positron emission tomography (PET), and radionuclide imaging methods are also used for monitoring the biochemical and physiological processes in apoptosis, necrosis, autophagy, and ferroptosis (Brauer, 2003; Lee et al., 2019).

Monitoring and Measuring RCDs by Biomarkers

To make the identification of RCDs more objective and quantitative, researchers always combine morphological changes and biomarkers of RCDs. RCDs have different pathways involved with specific proteins; for example, caspase-3 is an important effector of apoptosis, and once activated, it leads to apoptosis (Li X. et al., 2019). Although detection of biomarkers makes RCDs identification more accurate, it can be challenging to distinguish different forms of RCDs clearly for the discovery of new RCDs mechanisms and interlaced protein pathways.

Depending on where the content exists and how the content is extracted, the molecular biomarkers used in RCDs detection are divided into three types: cell surface markers acting at the plasma membrane (e.g., PS (PtdSer), pannexin 1 (PANX1)), intracellular markers working inside the cells (e.g., caspase activity, mitochondrial potential), and soluble extracellular markers as well as released molecules with a potential role as circulating biomarkers of cell death (e.g., caspase-3, cytokeratin 18 (CK18), HMGB1 and the enzyme LDH) (Krysko et al., 2008; Hashimoto et al., 2016; Shukuya et al., 2020; Wimmer et al., 2020). The conventional biomarkers of RCDs are shown in Table 3. These vital biomarkers are shown in a schematic diagram (Figure 3), which depicts the cross-regulation among different types of cell death.

TABLE 3

Table 3. Conventional biomarkers for RCDs.

FIGURE 3

Figure 3. A schematic diagram showing biomarkers involved in RCDs within depicting the cross-regulations among different pathways. The solid arrows indicate activating interactions while the T-shaped lines indicate inhibitory interactions.

Biomarker Detection Technology

Western Blot

The main measures for biomarker detection can be considered at three levels, namely DNA, RNA, and proteins. As for gene/mRNA/cfDNA assays, quantitative PCR (qPCR) is a useful and convenient technique. For protein detection, western blots are regarded as a classic technique. The western blot allows for specific identification and characterization of proteins, able to detect specific proteins involved in RCDs to distinguish RCDs. The process is as follows: the proteins are separated through sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), then the polyvinylidene fluoride (PVDF) membrane-transferred proteins are incubated with specific antibodies, and the protein of interest is detected by using a fluorescent agent. Remarkably, some of the modifications of proteins related to RCDs could also be detected through western blots, such as phosphorylation, acetylation, ubiquitin, etc. For example, the phosphorylation of RIPK1 could be analyzed via western blotting with special antibodies for research into the regulation of RIPK1 activation by TAK1-mediated phosphorylation, which modulates apoptosis and necroptosis (Geng et al., 2017).

Flow Cytometry

Requiring a high specificity, flow cytometry analysis is utilized to detect the specified cells through an assay of specific markers, volume, form, or any other signal characteristics (Bandura et al., 2009). For detection of apoptosis, PI is excited with a xenon or mercury arc lamp or with the 488 lines of an argon-ion laser and can be detected in the particular fluorescence channel (FL2 or FL3) of a flow fluorocytometer (FACSCalibur flow fluorocytometer, Becton Dickinson) (Bergamaschi et al., 2019). Traditionally, Annexin A5 (A5, PtdSer binding protein) combined with either PI or 7-aminoactinomycin D (7-AAD, membrane impermeable DNA binding dyes) stains are used in flow cytometry to distinguish apoptosis from necrosis (Koopman et al., 1994; Vermes et al., 1995; Broaddus et al., 1996). For the detection of ferroptosis, flow cytometry-based analysis is easy to carry out and is highly sensitive to measure lipid peroxide levels in live cells with the BODIPY^TM 581/591 C11 dye (Martinez et al., 2020). This technique is not only used for the separation of positive cells and the capture of special free contents such as vesicles, but also for identifying molecular biomarkers. Recently, flow cytometry assays have been improved to detect and quantify the various forms of RCDs, such as a three-color flow cytometry analysis that has been reported to detect necroptosis and apoptosis in the early and late-stage, and receptor interaction protein 1 (RIP1)-dependent apoptosis simultaneously in a single cell through targeting proteins like caspase-3 and receptor interaction protein 3 (RIP3), and detecting cell viability (Bergamaschi et al., 2019).

Enzyme-Linked Immunosorbent Assay (ELISA)

In the case of biomarkers for RCDs, ELISA is a sensitive, cost-effective and practical option for detection and quantitative or qualitative analysis based on the production of monoclonal or polyclonal antigen-specific antibodies and radioimmunoassay techniques. The ELISA technique is often used to detect RCD-related proteins such as caspase-3/7 up-regulation during apoptosis or cell-free DNA and nucleosomes (Roth et al., 2011), but there are still some constraints that should be of concern, such as the effect of temperature and time on sample storage since samples stored at −70°C lead to an annual loss of 7% (Holdenrieder et al., 2010).

Cryo-EM

Recently, to present the microenvironment of a protein as much as possible, cryo-EM has been found to be a powerful tool and has been recently used in the research into structural molecular and cellular biology in three-dimensional structures, which was selected by Nature Methods as the Method of the Year 2015, and the Nobel Prize in Chemistry 2017 (Bendory et al., 2020; Garcia-Nafria and Tate, 2020; Guerrero-Ferreira et al., 2020). It provides benefits for a better understanding of how proteins and/or other biological macromolecules are involved in their complex network (Bendory et al., 2020). Cryo-EM is regarded as a suitable method for identifying the structure of isolated biomolecular complexes ranging from a protein sized several tens kilo-Daltons to a virus particle-sized many mega-Daltons and to a whole cell with sub-nanometer resolution (Murata and Wolf, 2018). As for the sample preparations, cryo-EM requires a much smaller amount of sample with tomographic slices of 10-nm thickness; it accepts large image datasets (such as single protein molecules, large protein complexes, thin-protein crystals, virus particles, helical fiber complexes, bacteria, cells, and even entire tissue sections); and near-atomic 3D maps of isolated proteins could be provided (Danev et al., 2019). Kate et al. have shown the reconstructed cryo-tomogram of apoptotic herniating mitochondria to research the classical intrinsic apoptosis pathway by using cryo-EM (McArthur et al., 2018). Meanwhile, cryo-EM has also been used to reveal the morphology of the pores and determine the localization of Bax labeled with nanogold, which allows for understanding the mechanisms of pore formation induced by Bax in apoptosis, necroptosis or ferroptosis (Kuwana, 2019). The proteins of RCD, including their connected macromolecules, microenvironment and even the related signal pathways, can be visualized by using cryo-EM. For example, the filament structure of caspase-8 tandem death effector domain was determined through cryo-EM to achieve a presentation of extensive assembly interfaces and to further confirm with structure-based mutagenesis its filament formation in vitro, as well as Fas-induced apoptosis and ASC-mediated caspase-8 recruitment in cells (Fu et al., 2016).

Also, researchers adapted some targeted approaches for the special marker assays, such as the terminal -deoxynucleotidyl transferase mediated nick end labeling (TUNEL) assay that is designed to detect DNA degradation in the late stages of apoptosis. Recently, circulating molecules (e.g., non-coding RNAs, released proteins, heteromeric complexes, enzymatic activity, subcellular vesicles, etc.) released from special tissues were found to be detectable in the cerebrospinal fluid, plasma, serum, and any other body fluids, which suggests noninvasive clinical applications.

Biomarkers for Detecting RCDs

Cell Surface Markers

PS (PtdSer) exposure vs. membrane permeability

PS (PtdSer), as a vital content in eukaryotic membranes, is the major anionic phospholipid accounting for 2–10%. PtdSer is generally not externally exposed in normal cells and the exposure of PtdSer could be a hallmark for stressed and dying cells, and a key signal for the removal of apoptotic cells through neighboring phagocytic cells (e.g., macrophages or neutrophils). That is, PtdSer exposure not only occurs in apoptosis but also in other types of cell death, such as necroptosis and autophagy (Galluzzi et al., 2012). It is an interconnected process between the exposing PtdSer and the loss of plasma membrane integrity, whose detections are discussed above. As for PtdSer, Annexin V, one of the imaging probes targeting DNA, is widely used to detect apoptosis when it comes to radionuclide imaging. It is worth mentioning that Annexin V, a nonglycosylated membrane protein probe, has been used as one of the few cell death imaging agents reaching phase II/III clinical trials (Nguyen et al., 2012). Synaptotagmin-I (SynI), synaptic vesicle-related protein, provides another point for probe design by binding to the negatively charged phospholipids PS and phosphatidylinositol in the presence of Ca²⁺ ions (Alam et al., 2010).

Pannexin 1 (PANX1)

The pannexin (Panx) family, consisting of 3 members (Panx1 as the most extensively studied one, Panx2 and Panx3), has been reported as playing a vital role in extracellular ATP release (Baranova et al., 2004). In apoptosis, Panx1 being activated through cleavage mediated by caspase at the C terminus releases ATP as a “find me” signal, which is necessary for macrophage recruitment (Chekeni et al., 2010). Meanwhile, the activation of Panx1 channels contributes to the increase in plasma membrane permeability and the formation of Ca²⁺-permeable pores at the endoplasmic reticulum, leading to Ca²⁺ leakage and favoring mitochondrial Ca²⁺ uptake, which conveys cytochrome c to the cytosol to induce apoptosis (Chekeni et al., 2010). During research, Panx1 inhibitor carbenoxolone (CBX), pharmacological inhibition or small interfering RNA are used for indirectly inspecting the results in vivo and in vitro, suggesting PANX1 as a plasma membrane channel that could mediate the regulated release of find-me signals and selective plasma membrane permeability during apoptosis (Chekeni et al., 2010). The quantitative analysis of Panx1 could be detected through qPCR as mRNA levels for PANX1, and IHC or western blot for protein expression, whose function is analyzed using patch-clamp methods (Huang et al., 2020). In pyroptosis, caspases-3 and-7 and caspase-11 could not only contribute to cleaving the CT moiety of Panx1, resulting in channel opening and extracellular ATP release, but also induce K+ efflux and the activation of NLRP3 inflammasomes to process and subsequently release IL1β (Yang D. et al., 2015). Dahai et al. identified that Pannexin-1 worked critically for ATP-induced pyroptosis and was induced via cytosolic LPS using immunoblotting analysis with or without CBX, probenecid and trovafloxacin (one of the inhibitors of pannexin-1) (Yang D. et al., 2015). As for autophagy, extracellular ATP and engulfing dying cells in the Panx1-dependent pathway could not only recruit immune cells, but was also involved in the pathway of the inflammasome activation in macrophages in which a short hairpin (sh)RNA method for silencing pannexin-1 channels during co-incubation of macrophages with dying autophagic cells leads to the inhibition of ATP release and inflammasome activation (Ayna et al., 2012). By means of inhibitor targeting the key molecule involved in the pathway of RCDs, this reverse validation is also widely accepted, such as CBX or small interfering RNA being used to inhibit Panx1 for apoptosis detection through qPCR and ELISA.

Intracellular Markers

Oligonucleosomal DNA fragmentation

DNA fragmentation to 180-200 bp and a weight more than 50 kbp is considered as a feature that clearly distinguishes apoptosis (Walker et al., 1999). There are various biochemical techniques to detect DNA ladders, including general-use agarose gel electrophoresis or flow fluorocytometric, which benefits from not being time-consuming and allowing for individual cell analysis. According to different technical principles, there are three main routine assays that were developed to detect DNA fragmentation: DNA ladder assay, TUNEL assay, and comet assay. Firstly, the DNA ladder assay: the DNA fragments (180–200 bp) could be separated into the “DNA ladder” pattern on agarose gel electrophoresis. The DNA ladder assay is used in conjunction with commercial kits that lead to a faster, more accurate, and sensitive assay, but at a greater cost (Micoud et al., 2001). Another approach is the TUNEL assay, which is utilized as a standard histochemical method for tissues, adherent cell lines, and suspension cell lines (Cuello-Carrion and Ciocca, 1999). Different from the DNA ladder assay, the TUNEL assay is more sensitive for the use of specific markers [e.g., bromodeoxyuridine labeling (BrdU), fluorescein labeling, thymidine analogs, 5′-ethynyl2-deoxyuridine labeling (EdU) (Wu et al., 2012), etc.] combined with other techniques, such as FM, flow cytometry, or laser scanning cytometry (Darzynkiewicz et al., 2008). As for the comet assay, also named ‘single cell gel electrophoresis assay’ (SCGE), it has been developed in genotoxicity testing with rapid detection of DNA repair or damage in a single cell (Collins, 2004). According to the quantification of the fluorescent signal in the core (formed of macromolecules and unfragmented DNA) and the tail (formed of predominantly single-stranded DNA) as well as the DNA damage, comets are divided into five groups: none or very low damage, low damage, medium damage, long DNA migration, apoptotic or necrotic DNA migration (Konca et al., 2003).

Although optimized approaches have been developed, various limitations are still a challenge. For instance, DNA damage not only appears in the apoptotic process but also exists in necroptosis, leading to false-positive assay results. And if there is no DNA ladder pattern, it cannot be proven that there is no apoptosis occurring in the sample since it can result from an event of the internucleosomal cleavage of DNA occurring in late apoptosis (Cohen et al., 1992; Collins et al., 1995). There are sometimes mushrooming cases where it is absent with internucleosomal DNA degradation during apoptotic or apoptotic-like cell death so that the intensity of DNA fragment labeling in these assays will be inadequate to distinguish apoptosis (Cohen et al., 1992; Catchpoole and Stewart, 1993; Knapp et al., 1999).

Caspase activation

Caspases, as one of the cysteine aspartate-specific proteases, play a vital role in the early stages of apoptosis, and are regarded as general biomarkers to identify apoptosis. They are synthesized as zymogen precursors that consist of an amino-terminal domain of variable length followed by a p20 and a p10 unit containing the residues. These amino-terminal regions in initiator caspases obtain a caspase recruitment domain (including CARD; caspases 1, 2, 4, 5, 9, 11) or death effector domains (including DED; caspases 8, 10), which are essential for substrate recognition and catalytic activity. After being activated by proximity-induced auto-proteolysis or cleavage via upstream proteases in an intracellular cascade, an active heterotetramer is formed and induces the following pathway (Lamkanfi et al., 2002; Ramirez and Salvesen, 2018). According to the functions and domain architecture, the caspase-family members are classified into two parts: inflammatory (including caspases-1, -4, -5, and -11) or apoptotic (caspases-3, -6, -7, and caspases-8, -9, -10) (Van Opdenbosch and Lamkanfi, 2019). The detection of caspase activation has been used to identify the mitochondrial death pathway of apoptosis in cell-free systems (Chandra and Tang, 2009). Besides caspases, other proteins in response to apoptotic stimuli are also targeted as an indicator, such as Bid, Fas-associated protein with death domain (FADD), Bcl-2 and Bax, cytochrome c, high-mobility group box 1 (HMGβ1), nuclear factor kappa B (NFκB), poly [ADP-Ribose] polymerase 1 (PARP) and other apoptosis-related proteins (Nicholson et al., 1995; Gyulkhandanyan et al., 2012; Del Re et al., 2019; Yang L.L. et al., 2019; Zahran et al., 2020). In pyroptosis, it has been reported that caspase-1 could mediate the cleavage of the cytosolic protein gasdermin D (GSDMD), resulting in promotion of the formation of GSDMD membrane pores and cell lysis, which sheds much-needed light on the necrotic execution mechanism of pyroptosis (de Vasconcelos et al., 2019). As a caspase-independent pathway, necroptosis is also regulated through the caspase regulators in which caspase 8 could work as a potent inhibitor of necroptosis mediated through a heterotrimeric complex involving caspase 8, Fadd, and the long isoform of caspase 8- and FADD-like apoptosis regulator (Dillon et al., 2012). Caspase activity and these related proteins can be detected through flow fluorocytometry, the cleavage of an in vivo caspase substrate, FLIM and light microscopy, the Promega Caspase-Glo 3/7 assay, and ELISA, and meanwhile q-PCR is used at the level of the RNAs of the related proteins during cell death. An example of caspase detection, the Promega Caspase-Glo 3/7 assay (Promega Corp., Madison, WI, United States), is utilized for detection, adopting a proluminescent caspase substrate for caspase detection (Mfotie Njoya et al., 2018).

Bid cleavage and the expression of the Bcl-2 protein family

The integrity of the major outer-membrane protein (MOMP) is closely regulated by a group of proteins belonging to the Bcl-2 family and encoded by the BCL2 genes, which consists of pro-apoptotic and anti-apoptotic members (e.g., Bcl-2 and Bcl-xL) or other classes (e.g., BH3-only proteins with Bcl-2 homology (BH) domains only) (Cheng et al., 2001; Wei et al., 2001; Chipuk et al., 2010). Generally, it is believed that Bcl-2, Bax and Bak are of great importance in the intrinsic pathway of apoptosis and the Bcl-2/Bax ratio or the level of Bcl-2 is considered as a hall marker for apoptotic detection (Musumeci et al., 2015; Saraste and Pulkki, 2000). The extrinsic pathway of apoptosis, also known as the death receptor pathway, is closely related to the intrinsic pathway (mitochondrial pathway), since the truncated Bid (tBid) protein translocates to the outer mitochondrial membrane (OMM) to promote RCD by engaging Bax/Bak, resulting in MOMP and subsequent caspase-9 activation (Wu X. et al., 2020). Similar to second mitochondria-derived activator of caspases (SMAC) mimetics, MOMP could trigger tumor necrosis factor (NF-κB-dependent production) and coincidentally induce an alternative form of cell death, namely necroptosis (Giampazolias et al., 2017). Remarkably, the Bid is from both the cytosol and the organelle fraction. Because the form of Bid induced by anti-Fas antibodies stays in the cytosolic fraction briefly and only in small amounts, most of the Bid has been associated with the organelle fraction (Krysko et al., 2008). Both the Bid cleavage and the expression of the Bcl-2 protein family are able to be detected through western blot, ELISA, and flow cytometry.

Cytochrome c release

The release of cytochrome c from the mitochondria is a central signal in the intrinsic pathway of apoptosis mediated through OMM permeabilization. The release of cytochrome c activates caspase-3 or -7 via the apoptosome, leading to the formation of cyt-c, caspase-9 and Apaf-1, after which apoptosis is induced (Green and Kroemer, 2005; Kroemer et al., 2007). The detection of cytochrome c serves as a biomarker of apoptosis and is also important to understand certain diseases at the cellular level. To detect the level of cytochrome c, multiple existing techniques are adopted, including western blot, ELISA, high-performance liquid chromatography (HPLC), spectrophotometry and flow cytometry. As a special detection method for cytochrome c, fluorescent aptamer/carbon dot-based assays are regarded as a simple, sensitive, rapid and selective label-free assay for apoptosis detection employing the principle of a connection between the surfaces of Carbon Dots (CDs) and nucleic acid aptamer biomolecules. It is very sensitive and selective for apoptotic detection with a 25.90 nM limit in detection and a linear range of 40-240 nM (Ghayyem and Faridbod, 2018). Notably, cytosolic fractions and the organelles should be separated using a mild detergent, digitonin (concentration of 0.02%), in order to leave the mitochondria and lysosomes intact to prevent cytochrome c release from the mitochondria, resulting in artifacts of organelle preparation (Krysko et al., 2008). Moreover, cyt c could accumulate in the culture supernatant during secondary necrosis of anti-Fas-stimulated cells, and cyt c could also accumulate in the culture supernatant from the moment that the plasma membrane loses its integrity in the late necrotic phase of TNF-stimulated cells (Denecker et al., 2001).

The expression and phosphorylation status of RIPK1, RIPK3, and MLKL

Various factors work as key participants in necroptosis, namely in a caspase-independent pathway, such as RIP1, RIP3, and MLKL (Galluzzi et al., 2014; Ding et al., 2015; Wu X. et al., 2020). Combined with traditional methods of detection of necrosis (morphological features, the intracellular-component release, and biochemical features involved in necrosis), specific biomarkers in necrosis allow for more accurate detection of necrosis or even a measure with greater potential for clinical implications (Vanden Berghe et al., 2013; Lu et al., 2017). It has been reported that necrosis is sometimes related to upregulated RIPK1, RIPK3, or MLKL mRNA or protein expression levels in vivo in various diseases or physiological conditions (Guo et al., 2020). Activated forms of RIP1, RIP3, and MLKL have emerged as optimal biomarkers for both distinguishing necrosis and the diagnosis or prognostic assessment of diseases related to necrotic injury (He et al., 2016). Some of the specific kinase inhibitors and inducers have been widely used for research into necroptotic signals, such as drug-induced forced dimerization of RIPK1/RIPK3, a means to directly activate RIPK1 or RIPK3 (Rodriguez and Green, 2018). Tissues or cells with increased expression levels of RIPK1, RIPK3, and MLKL may indicate a predisposition to necrosis. However, there are some exceptions to challenge these biomarker indicators while non-necroptotic functions of increased RIPK1 and RIPK3 or necrosis induced without RIPK1 and RIPK3. In detail, the increased expression of RIPK1 and/or RIPK3 could contribute to inflammatory processes as an independent necrotic pathway by regulating pro-inflammatory cytokines (e.g., TNF, IL-1β, and IL-18) (Christofferson et al., 2012; Moriwaki and Chan, 2014; Wong et al., 2014). The phosphorylation status of RIPK3 on S227, and MLKL on Ser358 and Thr357, is considered to reflect activation toward necroptosis (Degterev et al., 2008; McQuade et al., 2013; Wang et al., 2020b). For this biomarker, kinase-dead RIPK3 could function as an anti-necroptotic factor, and similarly, the negative regulation also includes caspase 8, cellular FLICE-inhibitory protein (c-FLIP), chromatin immunoprecipitation (CHIP), MAPK (mitogen-activated protein kinase)-activated protein kinase 2 (MK2), pellino E3 ubiquitin protein ligase 1 (PELI1), and ABIN-1 (A20 binding and inhibitor of NF-κB) (Wang et al., 2018c).

The levels of Atg and LC3

For monitoring autophagy in vivo, the ‘core’ Atg genes knockout mouse, GFP-LC3 transgenic mouse, TfLC3 transgenic mouse, and GFP-LC3-RFP-LC3ΔG transgenic mouse are often used as animal models to detect specific protein markers (Kuma et al., 2017). These markers are experimentally adapted as follows: (1) identification of autophagy-related (ATG) genes and proteins related to the initiation of autophagy could be used to assess the activity of autophagy and to study the role of autophagy in the pathophysiological process; (2) for the LC3 (LC3B) and GABARAP family, the ratio of lipidated LC3 (LC3-II) to free LC3 is usually utilized to reflect the number of autophagosomes forming at any given time; 3) tandem fluorescent-tagged LC3 (tfLC3) reporters are used as single-molecule probes to detect autophagosomes labeled with yellow (mRFP and GFP) and autolysosomes labeled with red (mRFP only). Other detections include the GFP-LC3-RFP-LC3ΔG probe, etc. However, some of the Atg proteins may have autophagy-independent functions and the underlying mechanisms are not elucidated so far, such that the detection of autophagy is still facing challenges (Paunovic et al., 2018; Tan et al., 2019). As for specified autophagy, such as mitophagy, it is related to signaling proteins, such as TOMM20, TIMM23, LC3, and p62 (Wang et al., 2020c).

Meanwhile, the levels of beclin have been used as a marker of autophagy, but there should be more prudent use of it, since in some cases, beclin levels can be transcriptionally upregulated to wild-type levels even in beclin heterozygous or beclin allelic loss cells (Murugan and Amaravadi, 2016). The Atg family are also key proteins, but they are not a reliable reflection of autophagic flux unless combined with LC3 (Murugan and Amaravadi, 2016). According to the functions of LC3 processing for autophagosomes, both its formation and features, western blotting is widely used in autophagy monitoring with antibodies against LC3-I and LC3-II. qPCR-based approaches have also been used for detecting the mRNA levels of autophagy regulators, such as beclin-1, ATG1, DRAM, and LC3 (Kuma et al., 2017).

A brief introduction of biomarkers in pyroptosis

Regarding pyroptosis, there are some proteins used as experimental markers, including caspase-1, propidium, IL-1β, GFP, tdRFP, and LDH. Among these, PI staining is always regarded as a proxy for membrane rupture as it is often found simultaneously for these two things, namely the membrane rupture and the activation of the gasdermin pore (Jorgensen et al., 2016). Recently, researchers have evaluated the reliability of the detection as the molecules and proteins that we detected may pass through the membrane rupture, or through the gasdermin pore, or both (Kovacs and Miao, 2017). For instance, PI and IL-1β (4.5 nm; 5 nm) are small enough to pass through the gasdermin pore (10-15 nm), resulting in a situation that detected significant amounts of PI before the membrane rupture happened (Ding et al., 2016; Liu et al., 2016). On the contrary, tdRFP and LDH are larger, so they seem to be released by the membrane rupture event (Shaner et al., 2004; Russo et al., 2016).

A brief introduction of biomarkers in ferroptosis

As a non-apoptotic form of RCDs, ferroptosis is characterized by iron-dependent accumulation of toxic lipid peroxides in plasma membranes. The cystathionine-β-synthase (CBS) is a marker of transsulfuration pathway activity involved in ferroptosis (Wang et al., 2019b). The lipid peroxide level is closely related to ferroptosis, so it provides a useful means to detect ferroptosis in biological samples, such as measuring the level of cellular lipid peroxide via flow cytometry assays, immunostaining, or colorimetric assays (Uchida et al., 1993: Yagi, 1998; Drummen et al., 2002). Meanwhile, intracellular concentrations of iron and Fe²⁺ and the mitochondrial membrane potential are also used as indicators to distinguish the induction of ferroptosis (Wang et al., 2019b, 2020a). Furthermore, increased ACSL4 is required for lipotoxicity in ferroptosis, and unlike the other ACSL members, it seems to be a marker of ferroptosis since ACSL4 is remarkably downregulated in ferroptosis-resistant cells (e.g., LNCaP and K562) (Yuan et al., 2016; Wenzel et al., 2017). As for the specific detection of ferroptosis, the changes of the mitochondria are regarded as one of the most important indicators, including the morphological and biochemical changes. Increased intracellular concentrations of iron and Fe²⁺ can be monitored by kits, such as an Iron Assay Kit (Sigma Aldrich). Increased mitochondrial superoxide can be detected using a specific fluorescent probe, such as MitoSOX^TM Red Mitochondrial Superoxide Indicator for live-cell imaging (Invitrogen). Decreased mitochondrial membrane potential is measured by some kits, such as the Mitochondrial Membrane Potential Kit MAK-159 (Sigma Aldrich) for monitoring fluorescence intensity levels (λ_ex = 490/λ_em = 525 nm) and (λ_ex = 540/λ_em = 590 nm) for the ratio analysis (Wang et al., 2019b).

A brief introduction of biomarkers in NETosis

Based on the specific molecules involved in the pathway during NETosis, co-localization of neutrophil-derived proteins (such as myeloperoxidase (MPO) and proteinase 3 (PR3)), and extracellular DNA would suggest the presence of NETosis (Kessenbrock et al., 2009; Nakazawa et al., 2012). Additionally, citrullinated histones could be regarded as a marker for indicating NETs formation. Histones are citrullinated by PAD4 which transport from the cytoplasm to the nucleus activated via ROS generation and calcium influx (Remijsen et al., 2011; Wang and Wang, 2013). And cfDNA could also function as one form of NETs remnants which could be detected using PicoGreen^® (Zhang et al., 2014).

Release of Extracellular Markers Into the Supernatant or Circulating Biomarkers

The biomarkers released from the cells could remain in the tissue fluid or enter bodily fluids as circulating markers. Some of them could be detected in vitro from the supernatant of the samples such as from primary or secondary necrotic cells. Similarly, the monitoring of biomarkers in vivo in a liquid biopsy (e.g., plasma samples) also provides another method for detection. These kinds of biomarkers include caspases-3 and -7, high mobility group box 1 protein (HMGB-1), and CK18. Identifying the RCDs via the circulating biomarkers is a valid noninvasive alternative in clinical applications.

Caspase-3

Caspase-3, a cysteine protease, could retain its tetrapeptide sequence DEVD (a distinct amino acid sequence of Asp-Glu-Val-Asp), which provides cleaving activity for a long time in various extracellular fluids (Hentze et al., 2001). The p20 subunits of caspase-3 and -7 have been detected in the culture medium following secondary necrosis, whereas there are no such markers but only procaspase-3 and -7 in necrosis (Denecker et al., 2001). Thus, it has been proposed as a specific releasing and circulating biomarker to indicate apoptosis in the tissues (Denecker et al., 2001). Apoptotic cells in the tissue could be measured through various technologies, such as the TdT-mediated X-dUTP nick end labeling method and IHC using antibodies against active caspase 3 or caspase-cleaved proteins to identify the degree of apoptosis (Deng et al., 2019; Kunac et al., 2019).

Cytokeratin 18

CK18 releases a protein cleaved via the effector caspases at two distinct sites (Asp238 and Asp396) during cell death (Ku et al., 2016). The method named the M30-Apoptosense assay (Peviva AB, Bromma, Sweden) is used to measure the caspase-cleavage CK18 at Asp396 (CK18Asp396-NE M30 neo-epitope) and to specifically discriminate between apoptotic and necrotic cell death (Cummings et al., 2008). The circulating ccCK18 was quantitated through a specific ELISA combined with the antibody, which showed a positive signal in M30 and M65 to indicate apoptosis, whereas an exclusive positive signal in M65 was used to indicate necrosis (Kramer et al., 2004). The time and temperature requirements of this test may bias the results since it requires the samples be placed immediately on ice in order to avoid artificial cell death between acquisition and processing (Greystoke et al., 2008).

HMGB-1

High-mobility group box 1, an architectural chromatin-binding factor, could bind to DNA for increasing protein assembly targeted to specific DNA. It is a protein secreted through activated monocytes or macrophages and is passively released via necrotic or damaged cells, but it should be mentioned that HMGB-1 cannot be found in apoptotic cells even after undergoing secondary necrosis and partial autolysis, resulting in a failure to promote inflammation even if not cleared promptly by phagocytic cells (Scaffidi et al., 2002). HMGB-1 released from necrotic cells could activate the macrophages via the toll-like receptor 2 (TLR2) and toll-like receptor 4 (TLR4) pathway (Park et al., 2004). HMGB-1 can also chemoattract and activate dendritic cells (DCs) with processing and presentation of tumor antigens (Apetoh et al., 2007; Yang et al., 2007).

Other markers released from cells may also provide indicators for RCD detection, such as DNA laddering signals. The “DNA laddering” resulting from fragmented DNA is cleaved through DNase activated via the inhibitor of caspase-activated DNase (iCAT) (Krysko et al., 2008). The 166 base pairs (bp)-length cell-free DNA (cfDNA) consists mainly of nucleosome-protected DNA being released from apoptotic tumor cells into the bloodstream, which might be used in the detection of RCD, providing a target for clinical applications (Krysko et al., 2008; Ulz et al., 2016).

Potential Markers

Recently, non-coding RNA (ncRNA) has been confirmed to have a strong correlation with RCDs, and a positive correlation or a negative correlation might be developed as a useful detection method for monitoring RCDs. For instance, miRNAs (microRNA, one of the non-coding RNAs, 21-23 nucleotides long) is closely related to RCDs, like miR-21 is related to necrosis, miR-137 is related to ferroptosis (Park et al., 2004), miR-184 is related to apoptosis, miRNA-335-5p is related to autophagy, and miR-223 is related to pyroptosis (Wang et al., 2015; Afonso et al., 2018; Luo et al., 2018; Zhang Y. et al., 2018; Zhong et al., 2019). Other ncRNAs like long-coding RNA (lincRNA) and circulating RND (circRNA) may also present the same effect (Zhou et al., 2019; Tao et al., 2020). However, some ncRNAs in RCDs of different healthy or pathological cells or tissues emerge with different expression patterns, so there is still controversy about these biomarkers functioning as indicators to detect RCDs. It is also worth noting that RCDs such as apoptotic cells could release vesicles as apoptotic microvesicles and exosomes-like vesicles that are smaller than ApoBDs (apoptotic bodies). Extracellular vesicles (EVs) like exosomes, microvesicles (MV), ApoBDs (1–5 μm in diameter) and ApoMVs (<1 μm in diameter) released from special cells or tissues may have a close connection with RCDs, which suggests an occurrence of RCDs in pathophysiological processes (Caruso and Poon, 2018; Pavlyukov et al., 2018; Grant et al., 2019; Nooshabadi et al., 2020; Qin et al., 2020). Marat S. et al. investigated the extracellular vesicles secreted by apoptotic glioblastoma cells (apoEVs) for apoptotic research associated with a phenotypic shift of the recipient surviving tumor cells (Pavlyukov et al., 2018).

Notably, cell death has been closely linked to inflammation through various signals such as RIPK1, RIPK3, FADD, FLIP and caspase 8. These molecules are incorporated into compatible and exceedingly dynamic Toll-like receptor, retinoic acid-inducible gene I (RIG-I)-like receptors, and NOD-like receptor which have roles in switching from inflammation to cell death, or perform a programmed execution of both. For example, the overexpression of caspase 11 could induce apoptosis (Wang et al., 1996), and it is also linked to inflammation as an upstream regulator of caspase 1 to promote both pyroptosis and pro-IL-1β processing, or as a molecule releasing after lipopolysaccharide (LPS) or tissue injury (Kang et al., 2000). Caspase 8, involved in the extrinsic pathway of apoptosis, could lead to the development of systemic inflammation (Wallach et al., 2014). Pyroptosis is initiated in response to inflammasome activation in the mobilization of the canonical and/or non-canonical pathways (Bergsbaken et al., 2009). The activation of RIPK3 is crucial for necroptosis induced by TNF. The role for RIPK1 is closely related to other molecules as TNFR1, FADD and caspase 8, and TRIF, IFN and RIPK3 related necroptosis to inflammation, or other types of cell death (Dillon et al., 2014; Kaiser et al., 2014; Rickard et al., 2014). As for autophagy, its proteins play a vital role in inflammation, in which the LC3 conjugation system (vital molecules involved in autophagy, i.e., ATG3, ATG5, ATG7, and ATG16L1) is related to the activation of cells with IFN-γ during inflammation (Zhao et al., 2008; Li et al., 2021). LAP could induce pro-inflammatory gene expression and trigger STING-mediated type I interferon responses in tumor-associated macrophages (Cunha et al., 2018). Compelling evidence showed that ferroptosis have an effect on inflammation where ferroptosis inhibitors exerted anti-inflammatory effects in certain diseases (Sun et al., 2020). Besides the events discussed above, there is still a lot of evidence showing a close connection between cell death and inflammation which suggest these specific inflammation-related factors could function as indicators for adjunctive detection of cell death.

All in all, biomarkers provide pathway-specific measures to distinguish different types of RCDs, but there are still some issues: (1) Protein specificity: the overlap or connected markers involved in different types of RCDs; (2) Misleading results: the specific biomarkers are related to other responses not involving the expected cell death, and the occurrence of cell death is not connected with the targeted proteins; (3) Simultaneous events, such as the induction of cell death may result in another cell death or simultaneous events of two or more types of cell death; (4) Limited detection technology: some of the subtle changes require more sensitive and comprehensive detection techniques or combined manipulations of pathway-specific markers in cell death pathways.

Monitoring and Measuring RCDs From in vivo to Clinical Applications

Monitoring and Measuring RCDs in vivo

It is hard to mimic the real microenvironment of cells in vitro entirely, and the detection of RCDs in vivo is vital for research. The gamma camera imaging, CT, MRI/MRS, PET, and radionuclide imaging methods are usually used to monitor the biochemical and physiological processes of RCDs in vivo (Brauer, 2003; Huang et al., 2017). As a common example, MRI is used to monitor the volume reduction of a tumor induced by RCDs. For example, ²³Na MRI might be a sufficiently useful and practical method in clinical or laboratory detection of apoptosis. ²³Na MRI may be sensitive to high concentrations of Na⁺ in tissues and have a close connection to electrolyte-macromolecular interactions during RCDs (Brauer, 2003). The monitoring of cell death in vivo provides evidence as to whether or not and how much damage occurs and then guide the clinical assessment and treatment based on the severity of the diseases and the drug choice of anti-bacterial or anti-viral agents.

According to various structural and functional perspectives involved in different types of RCD both in vivo and in vitro, multiple techniques are required for detection with high repeatability, specificity, and precision. The assays related to morphological, biochemical, and functional changes are presented in Supplementary Table 1.

RCDs Detection in Clinic Usage

Regulated cell deaths are closely related to a variety of diseases, and mostly detection of RCDs has been used for early diagnosis and prognosis assessment through monitoring the quality and quantity of the biomarkers involved in RCDs and the various molecular players also used as drug targets for treatment (Thygesen et al., 2007). During development, both the nervous system and the immunogenic cells of the hematopoietic system particularly rely on the overproduction of the cells; in other words, RCDs play a vital role in the nervous and the hematopoietic system. A harmonious process that integrates proliferation, differentiation, and RCDs maintains normal development and the generation of functional circuitry within the nervous system, with elimination of neurons migrating and innervating improper targets or ectopic areas, and the limiting amounts of pro-survival factors produced by targets (including glia) resulting in optimal target innervation through competition with neurons (Fricker et al., 2018). Once the balance breaks, it may lead to various neurodegenerative diseases with a fundamental pathological feature of cell death, such as strokes with a high number of neurons dying by necrosis (Tian et al., 2019; Zhou et al., 2020). Some researchers have used multiple detection methods to achieve signaling pathway mining and clinical guidelines, such as the detection of RIP3 and phosphorylated RIP3s using western blots, and verifying the necroptosis of retinal ganglion cells using EM in retinal diseases research (Liao et al., 2017).

In the immune system, many potentially dangerous or useless immune cells could be eliminated through RCD pathways such as the positive selection and negative selection of T cells (Opferman, 2008; Anuradha et al., 2013). The functions of the immune system are also connected to RCDs, such as apoptotic cells being efficiently cleared in a quiescent manner through the immune system (Kolb et al., 2017). Similarly, the breakage of the steady state is closely related to various immune diseases, such as apoptosis-related autoimmune disease and autophagy-related immune renal disease (Mihaljevic et al., 2018; Ye et al., 2019). Elsewhere, in the circulatory system, platelet apoptosis is characterized by platelet-derived microparticle (MP) formation and cell shrinkage in different cellular compartments (mitochondria, cytosol, and plasma membrane) or at the whole-cell level, has a strong correlation with platelet-related diseases such as vascular restenosis, atherosclerosis, wound healing, angiogenesis, inflammation and immune responses (Smyth et al., 2009; Semple et al., 2011; Gyulkhandanyan et al., 2012). In many cancer types, the value of the apoptotic index (AI) in diagnosis or prognosis has been developed but the results of its accurate evaluation and/or standard settings are controversial (Becker et al., 2014; Fu et al., 2014). It has been reported that the subsequent development of diseases is tied closely to AI, which may be a useful biomarker for prospective studies (Braga et al., 2016), but the results still remain controversial.

Furthermore, we have summarized the biomarkers of RCDs used in diagnostic and prognostic assessment in Table 4 as well as some related clinical applications in Supplementary Table 2. The detection of biomarkers in RCDs are widely used in these assessments, but there are still challenges for their accuracy and effectiveness of detection, tissue and species specificity, etc. Furthermore, targeting RCDs is beneficial for not only diagnosis and prognostication, but also treatment through using drugs to regulate the proteins or genes involved in the RCD pathway.

TABLE 4

Table 4. Biomarkers of RCDs used in diagnostic, prognostic and research histopathology.

Conclusion and Perspective

Regulated cell deaths, a controlled cellular process during development, contribute to a balance in physiological conditions for cell clearance, tissue integrity, and homeostasis in multi-cellular organisms, whereas the dysregulation of RCDs results in various pathological conditions, such as neurodegenerative diseases, developmental and immunological disorders, and cancer. RCDs include many types of cell death: apoptosis, necrosis, autophagy, ferroptosis, and pyroptosis, each of which plays an important role in different physiological and pathological conditions via various proteins, genes, and cofactors, building a complex cell signaling network. In the last few years, tremendous progress has been made in digging out the secrets of RCD and striving toward translational medicine and precision medicine. Our team has been engaged in this field of RCD for many years (Huang et al., 2013; Shang et al., 2014, 2017; Ding et al., 2015; Adams et al., 2016; Xiong et al., 2016; Li et al., 2016; Liao et al., 2017; Wang et al., 2018b, c, 2020b; Guo et al., 2020; Wu X. et al., 2020). Remarkably, cryo-EM, emerging as a powerful technique, has been used in a growing number of structural determinations for the assays of high-resolution protein structures besides the proteins involved in RCDs (Cheng et al., 2015). Even realistic presentation of the proteins in their native cellular microenvironment has been achieved through cryo-electron tomography (cryo-ET) (Danev et al., 2019; Kuwana, 2019; Wang et al., 2019a). Also, flow cytometry is regarded as a preferred method since it is sensitive, fast and multifaceted, and this method is constantly improving and being integrated into clinical applications, such as image-based flow cytometry (Kranich et al., 2020). So many methods also show great potential in research and clinical applications, such as real-time fluorometry, or PET and single-photon emission computed tomography (SPECT) with specific tracers, multicolor labeling and sophisticated morphometric analysis, etc. (Grootjans et al., 2016; Wimmer et al., 2020). Remarkably, combining the special markers as indicators for RCDs monitoring would lead to more accurate ways to identify various types of RCDs. All in all, these powerful and specific methods will provide us with stronger evidence to describe the pattern of cell death by identifying molecular players and unraveling the biochemical pathways of death.

Author Contributions

X-MH was the major contributor in reviewing the literature, writing the manuscript, and creating descriptive figures. Z-XL was a major contributor to editing the tables and figures. R-HL and J-QS assisted in literature reviews. KX and QZ was a major contributor in editing the manuscript. All authors read and approved the final manuscript.

Funding

This research was supported by the National Natural Science Foundation of China (81772134, 81971891, and 81571939), the Key Research and Development Program of Hunan Province (No. 2018SK2091), and the Wu Jie-Ping Medical Foundation of the Minister of Health of China (No. 320.6750.14118).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank Editorial certificate Wordviceat (edit@wordvice.com) for English language editing.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcell.2021.634690/full#supplementary-material

References

Aachoui, Y., Leaf, I. A., Hagar, J. A., Fontana, M. F., Campos, C. G., Zak, D. E., et al. (2013). Caspase-11 protects against bacteria that escape the vacuole. Science 339, 975–978. doi: 10.1126/science.1230751

PubMed Abstract | CrossRef Full Text | Google Scholar

Abdel Karim, N., Gaber, O., Eldessouki, I., Bahassi, E. M., and Morris, J. (2019). Exosomes as a surrogate marker for autophagy in peripheral blood, correlative data from Phase I study of chloroquine in combination with carboplatin/gemcitabine in advanced solid tumors. Asian Pac. J. Cancer Prev. 20, 3789–3796. doi: 10.31557/apjcp.2019.20.12.3789

PubMed Abstract | CrossRef Full Text | Google Scholar

Adams, C. M., Hiebert, S. W., and Eischen, C. M. (2016). Myc induces miRNA-mediated apoptosis in response to HDAC inhibition in hematologic malignancies. Cancer Res. 76, 736–748. doi: 10.1158/0008-5472.can-15-1751

PubMed Abstract | CrossRef Full Text | Google Scholar

Afonso, M. B., Rodrigues, P. M., Simao, A. L., Gaspar, M. M., Carvalho, T., Borralho, P., et al. (2018). miRNA-21 ablation protects against liver injury and necroptosis in cholestasis. Cell Death Differ. 25, 857–872. doi: 10.1038/s41418-017-0019-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Alam, I. S., Neves, A. A., Witney, T. H., Boren, J., and Brindle, K. M. (2010). Comparison of the C2A domain of synaptotagmin-I and annexin-V as probes for detecting cell death. Bioconjug. Chem. 21, 884–891. doi: 10.1021/bc9004415

PubMed Abstract | CrossRef Full Text | Google Scholar

Alturkistany, F., Nichani, K., Houston, K. D., and Houston, J. P. (2019). Fluorescence lifetime shifts of NAD(P)H during apoptosis measured by time-resolved flow cytometry. Cytomet. A 95, 70–79. doi: 10.1002/cyto.a.23606

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderton, H. I, Wicks, P., and Silke, J. (2020). Cell death in chronic inflammation: breaking the cycle to treat rheumatic disease. Nat. Rev. Rheumatol. 16, 496–513. doi: 10.1038/s41584-020-0455-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Anuradha, R., George, P. J., Hanna, L. E., Chandrasekaran, V., Kumaran, P., Nutman, T. B., et al. (2013). IL- 4-, TGF- beta-, and IL-1-dependent expansion of parasite antigen-specific Th9 cells is associated with clinical pathology in human lymphatic filariasis. J. Immunol. 191, 2466–2473. doi: 10.4049/jimmunol.1300911

PubMed Abstract | CrossRef Full Text | Google Scholar

Apetoh, L., Ghiringhelli, F., Tesniere, A., Criollo, A., Ortiz, C., Lidereau, R., et al. (2007). The interaction between HMGB1 and TLR4 dictates the outcome of anticancer chemotherapy and radiotherapy. Immunol. Rev. 220, 47–59. doi: 10.1111/j.1600-065x.2007.00573.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Arias, E. (2017). Methods to study chaperone-mediated autophagy. Methods Enzymol. 588, 283–305. doi: 10.1016/bs.mie.2016.10.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Arrazola, M. S., and Court, F. A. (2019). Compartmentalized necroptosis activation in excitotoxicity-induced axonal degeneration: a novel mechanism implicated in neurodegenerative disease pathology. Neural Regen. Res. 14, 1385–1386. doi: 10.4103/1673-5374.253520

PubMed Abstract | CrossRef Full Text | Google Scholar

Ayna, G., Krysko, D. V., Kaczmarek, A., Petrovski, G., Vandenabeele, P., and Fesus, L. (2012). ATP release from dying autophagic cells and their phagocytosis are crucial for inflammasome activation in macrophages. PLoS One 7:e40069. doi: 10.1371/journal.pone.0040069

PubMed Abstract | CrossRef Full Text | Google Scholar

Baines, C. P., Kaiser, R. A., Purcell, N. H., Blair, N. S., Osinska, H., Hambleton, M. A., et al. (2005). Loss of cyclophilin D reveals a critical role for mitochondrial permeability transition in cell death. Nature 434, 658–662. doi: 10.1038/nature03434

PubMed Abstract | CrossRef Full Text | Google Scholar

Bandura, D. R., Baranov, V. I., Ornatsky, O. I., Antonov, A., Kinach, R., Lou, X., et al. (2009). Mass cytometry: technique for real time single cell multitarget immunoassay based on inductively coupled plasma time-of-flight mass spectrometry. Anal. Chem. 81, 6813–6822. doi: 10.1021/ac901049w

PubMed Abstract | CrossRef Full Text | Google Scholar

Bandyopadhyay, U., and Overholtzer, M. (2016). LAP: the protector against autoimmunity. Cell Res. 26, 865–866. doi: 10.1038/cr.2016.70

PubMed Abstract | CrossRef Full Text | Google Scholar

Bani-Ahmad, M. A., Al-Sweedan, S. A., Al-Asseiri, M. A., and Alkhatib, A. J. (2018). A proposed kinetic model for the diagnostic and prognostic value of WT1 and p53 in acute myeloid leukemia. Clin. Lab. 64, 357–363.

Google Scholar

Baranova, A., Ivanov, D., Petrash, N., Pestova, A., Skoblov, M., Kelmanson, I., et al. (2004). The mammalian pannexin family is homologous to the invertebrate innexin gap junction proteins. Genomics 83, 706–716. doi: 10.1016/j.ygeno.2003.09.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Baskic, D., Popovic, S., Ristic, P., and Arsenijevic, N. N. (2006). Analysis of cycloheximide-induced apoptosis in human leukocytes: fluorescence microscopy using annexin V/propidium iodide versus acridin orange/ethidium bromide. Cell Biol. Int. 30, 924–932. doi: 10.1016/j.cellbi.2006.06.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Baudhuin, P. (1966). Lysosomes and cellular autophagy. Brux Med. 46, 1059–1070.

Google Scholar

Becker, M., Muller, C. B., De Bastiani, M. A., and Klamt, F. (2014). The prognostic impact of tumor-associated macrophages and intra-tumoral apoptosis in non-small cell lung cancer. Histol. Histopathol. 29, 21–31.

Google Scholar

Bendory, T., Bartesaghi, A., and Singer, A. (2020). Single-particle cryo-electron microscopy: mathematical theory, computational challenges, and opportunities. IEEE Signal. Process. Mag. 37, 58–76. doi: 10.1109/msp.2019.2957822

PubMed Abstract | CrossRef Full Text | Google Scholar

Bergamaschi, D., Vossenkamper, A., Lee, W. Y. J., Wang, P., Bochukova, E., and Warnes, G. (2019). Simultaneous polychromatic flow cytometric detection of multiple forms of regulated cell death. Apoptosis 24, 453–464. doi: 10.1007/s10495-019-01528-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Bergsbaken, T., Fink, S. L., and Cookson, B. T. (2009). Pyroptosis: host cell death and inflammation. Nat. Rev. Microbiol. 7, 99–109. doi: 10.1038/nrmicro2070

PubMed Abstract | CrossRef Full Text | Google Scholar

Bernocchi, G., and Barni, S. (1983). Methodological problems in the histochemical demonstration of succinate semialdehyde dehydrogenase activity. Histochem. J. 15, 1161–1176. doi: 10.1007/bf01002737

PubMed Abstract | CrossRef Full Text | Google Scholar

Bhutia, S. K., Praharaj, P. P., Bhol, C. S., Panigrahi, D. P., Mahapatra, K. K., Patra, S., et al. (2019). Monitoring and measuring mammalian autophagy. Methods Mol. Biol. 1854, 209–222. doi: 10.1007/7651_2018_159

CrossRef Full Text | Google Scholar

Boldin, M. P., Goncharov, T. M., Goltsev, Y. V., and Wallach, D. (1996). Involvement of MACH, a novel MORT1/FADD-interacting protease, in Fas/APO-1- and TNF receptor-induced cell death. Cell 85, 803–815. doi: 10.1016/s0092-8674(00)81265-9

CrossRef Full Text | Google Scholar

Boschker, H. T., and Middelburg, J. J. (2002). Stable isotopes and biomarkers in microbial ecology. FEMS Microbiol. Ecol. 40, 85–95. doi: 10.1111/j.1574-6941.2002.tb00940.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Braga, A., Maesta, I., Rocha Soares, R., Elias, K. M., Custodio Domingues, M. A., Barbisan, L. F., et al. (2016). Apoptotic index for prediction of postmolar gestational trophoblastic neoplasia. Am. J. Obstet. Gynecol. 215, 336.e1–336.e12.

Google Scholar

Brauer, M. (2003). In vivo monitoring of apoptosis. Prog. Neuropsychopharmacol. Biol. Psychiatry 27, 323–331.

Google Scholar

Brinkmann, V., Reichard, U., Goosmann, C., Fauler, B., Uhlemann, Y., Weiss, D. S., et al. (2004). Neutrophil extracellular traps kill bacteria. Science 303, 1532–1535. doi: 10.1126/science.1092385

PubMed Abstract | CrossRef Full Text | Google Scholar

Broaddus, V. C., Yang, L., Scavo, L. M., Ernst, J. D., and Boylan, A. M. (1996). Asbestos induces apoptosis of human and rabbit pleural mesothelial cells via reactive oxygen species. J. Clin. Invest. 98, 2050–2059. doi: 10.1172/jci119010

PubMed Abstract | CrossRef Full Text | Google Scholar

Burattini, S., and Falcieri, E. (2013). Analysis of cell death by electron microscopy. Methods Mol. Biol. 1004, 77–89.

Google Scholar

Buschhaus, J. M., Gibbons, A. E., Luker, K. E., and Luker, G. D. (2017). Fluorescence lifetime imaging of a Caspase-3 apoptosis reporter. Curr. Protoc. Cell Biol. 77, 21121–211212.

Google Scholar

Buschhaus, J. M., Humphries, B., Luker, K. E., and Luker, G. D. (2018). A Caspase-3 reporter for fluorescence lifetime imaging of single-cell apoptosis. Cells 7:57. doi: 10.3390/cells7060057

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, Q. H., Liu, F., Yang, Z. L., Fu, X. H., Yang, Z. H., Liu, Q., et al. (2016). Prognostic value of autophagy related proteins ULK1, Beclin 1, ATG3, ATG5, ATG7, ATG9, ATG10, ATG12, LC3B and p62/SQSTM1 in gastric cancer. Am. J. Transl. Res. 8, 3831–3847.

Google Scholar

Cappellini, A., Mantovani, I., Tazzari, P. L., Grafone, T., Martinelli, G., Cocco, L., et al. (2005). Application of flow cytometry to molecular medicine: detection of tumor necrosis factor-related apoptosis-inducing ligand receptors in acute myeloid leukaemia blasts. Int. J. Mol. Med. 16, 1041–1048.

Google Scholar

Caruso, S., and Poon, I. K. H. (2018). Apoptotic cell-derived extracellular vesicles: more than just debris. Front. Immunol. 9:1486. doi: 10.3389/fimmu.2018.01486

PubMed Abstract | CrossRef Full Text | Google Scholar

Catchpoole, D. R., and Stewart, B. W. (1993). Etoposide-induced cytotoxicity in two human T-cell leukemic lines: delayed loss of membrane permeability rather than DNA fragmentation as an indicator of programmed cell death. Cancer Res. 53, 4287–4296.

Google Scholar

Cerrato, G., Liu, P., Martins, I., Kepp, O., and Kroemer, G. (2020). Quantitative determination of phagocytosis by bone marrow-derived dendritic cells via imaging flow cytometry. Methods Enzymol. 632, 27–37. doi: 10.1016/bs.mie.2019.07.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan, L. L., Lai, N., Wang, E., Smith, T., Yang, X., and Lin, B. (2011). A rapid detection method for apoptosis and necrosis measurement using the Cellometer imaging cytometry. Apoptosis 16, 1295–1303. doi: 10.1007/s10495-011-0651-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Chandra, D., and Tang, D. G. (2009). Detection of apoptosis in cell-free systems. Methods Mol. Biol. 559, 65–75. doi: 10.1007/978-1-60327-017-5_5

CrossRef Full Text | Google Scholar

Chekeni, F. B., Elliott, M. R., Sandilos, J. K., Walk, S. F., Kinchen, J. M., Lazarowski, E. R., et al. (2010). Pannexin 1 channels mediate ‘find-me’ signal release and membrane permeability during apoptosis. Nature 467, 863–867. doi: 10.1038/nature09413

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, J., Wang, Y., Wu, J., Yang, J., Li, M., and Chen, Q. (2020). The potential value of targeting ferroptosis in early Brain injury after acute CNS disease. Front. Mol. Neurosci. 13:110. doi: 10.3389/fnmol.2020.00110

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, R., Xin, G., and Zhang, X. (2019). Long non-coding RNA HCP5 serves as a ceRNA sponging miR-17-5p and miR-27a/b to regulate the pathogenesis of childhood obesity via the MAPK signaling pathway. J. Pediatr. Endocrinol. Metab. 32, 1327–1339. doi: 10.1515/jpem-2018-0432

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, W. C., Wang, C. Y., Hung, Y. H., Weng, T. Y., Yen, M. C., and Lai, M. D. (2016). Systematic analysis of gene expression alterations and clinical outcomes for long-chain Acyl-Coenzyme A synthetase family in cancer. PLoS One 11:e0155660. doi: 10.1371/journal.pone.0155660

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, X., Li, W., Ren, J., Huang, D., He, W. T., Song, Y., et al. (2014). Translocation of mixed lineage kinase domain-like protein to plasma membrane leads to necrotic cell death. Cell Res. 24, 105–121. doi: 10.1038/cr.2013.171

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, E. H., Wei, M. C., Weiler, S., Flavell, R. A., Mak, T. W., Lindsten, T., et al. (2001). BCL-2, BCL-X(L) sequester BH3 domain-only molecules preventing BAX- and BAK-mediated mitochondrial apoptosis. Mol. Cell 8, 705–711. doi: 10.1016/s1097-2765(01)00320-3

CrossRef Full Text | Google Scholar

Cheng, J., Shuai, X., Gao, J., Cai, M., Wang, G., and Tao, K. (2016). Prognostic significance of AMPK in human malignancies: a meta-analysis. Oncotarget 7, 75739–75748. doi: 10.18632/oncotarget.12405

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, S. Y., Wang, S. C., Lei, M., Wang, Z., and Xiong, K. (2018). Regulatory role of calpain in neuronal death. Neural Regen. Res. 13, 556–562. doi: 10.4103/1673-5374.228762

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, Y., Grigorieff, N., Penczek, P. A., and Walz, T. (2015). A primer to single-particle cryo-electron microscopy. Cell 161, 438–449. doi: 10.1016/j.cell.2015.03.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiang, H. L., Terlecky, S. R., Plant, C. P., and Dice, J. F. (1989). A role for a 70-kilodalton heat shock protein in lysosomal degradation of intracellular proteins. Science 246, 382–385. doi: 10.1126/science.2799391

PubMed Abstract | CrossRef Full Text | Google Scholar

Chipuk, J. E., Moldoveanu, T., Llambi, F., Parsons, M. J., and Green, D. R. (2010). The BCL-2 family reunion. Mol. Cell 37, 299–310. doi: 10.1016/j.molcel.2010.01.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Christofferson, D. E., Li, Y., Hitomi, J., Zhou, W., Upperman, C., Zhu, H., et al. (2012). A novel role for RIP1 kinase in mediating TNFalpha production. Cell Death Dis. 3:e320. doi: 10.1038/cddis.2012.64

PubMed Abstract | CrossRef Full Text | Google Scholar

Cohen, G. M., Sun, X. M., Snowden, R. T., Dinsdale, D., and Skilleter, D. N. (1992). Key morphological features of apoptosis may occur in the absence of internucleosomal DNA fragmentation. Biochem. J. 286(Pt 2), 331–334. doi: 10.1042/bj2860331

PubMed Abstract | CrossRef Full Text | Google Scholar

Collins, A. R. (2004). The comet assay for DNA damage and repair: principles, applications, and limitations. Mol. Biotechnol. 26, 249–261. doi: 10.1385/mb:26:3:249

CrossRef Full Text | Google Scholar

Collins, A. R., Ma, A. G., and Duthie, S. J. (1995). The kinetics of repair of oxidative DNA damage (strand breaks and oxidised pyrimidines) in human cells. Mutat. Res. 336, 69–77. doi: 10.1016/0921-8777(94)00043-6

CrossRef Full Text | Google Scholar

Conev, N. V., Dimitrova, E. G., Bogdanova, M. K., Kashlov, Y. K., Chaushev, B. G., Radanova, M. A., et al. (2019). RIPK3 expression as a potential predictive and prognostic marker in metastatic colon cancer. Clin. Invest. Med. 42, E31–E38.

Google Scholar

Cookson, B. T., and Brennan, M. A. (2001). Pro-inflammatory programmed cell death. Trends Microbiol. 9, 113–114. doi: 10.1016/s0966-842x(00)01936-3

CrossRef Full Text | Google Scholar

Crowley, L. C., Marfell, B. J., Christensen, M. E., and Waterhouse, N. J. (2016a). Measuring cell death by trypan blue uptake and light microscopy. Cold Spring Harb. Protoc. 7:pdb.prot087155. doi: 10.1101/pdb.prot087155

PubMed Abstract | CrossRef Full Text | Google Scholar

Crowley, L. C., Marfell, B. J., Scott, A. P., and Waterhouse, N. J. (2016c). Analysis of cytochrome c release by immunocytochemistry. Cold Spring Harb. Protoc. 2016:pdb.prot087338. doi: 10.1101/pdb.prot087338

PubMed Abstract | CrossRef Full Text | Google Scholar

Crowley, L. C., Marfell, B. J., and Waterhouse, N. J. (2016b). Analyzing cell death by nuclear staining with hoechst 33342. Cold Spring Harb. Protoc. 2016:pdb.prot087205. doi: 10.1101/pdb.prot087205

PubMed Abstract | CrossRef Full Text | Google Scholar

Crowley, L. C., Marfell, B. J., and Waterhouse, N. J. (2016d). Morphological analysis of cell death by cytospinning followed by rapid staining. Cold Spring Harb. Protoc. 2016:pdb.prot087197. doi: 10.1101/pdb.prot087197

PubMed Abstract | CrossRef Full Text | Google Scholar

Cuello-Carrion, F. D., and Ciocca, D. R. (1999). Improved detection of apoptotic cells using a modified in situ TUNEL technique. J. Histochem. Cytochem. 47, 837–839. doi: 10.1177/002215549904700614

PubMed Abstract | CrossRef Full Text | Google Scholar

Cuervo, A. M. (2010). Chaperone-mediated autophagy: selectivity pays off. Trends Endocrinol. Metab. 21, 142–150. doi: 10.1016/j.tem.2009.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Cummings, J., Ward, T. H., Greystoke, A., Ranson, M., and Dive, C. (2008). Biomarker method validation in anticancer drug development. Br. J. Pharmacol. 153, 646–656. doi: 10.1038/sj.bjp.0707441

PubMed Abstract | CrossRef Full Text | Google Scholar

Cummings, M. C., Winterford, C. M., and Walker, N. I. (1997). Apoptosis. Am. J. Surg. Pathol. 21, 88–101.

Google Scholar

Cunha, L. D., Yang, M., Carter, R., Guy, C., Harris, L., Crawford, J. C., et al. (2018). LC3-associated phagocytosis in myeloid cells promotes tumor immune Tolerance. Cell 175, 429–441. doi: 10.1016/j.cell.2018.08.061

PubMed Abstract | CrossRef Full Text | Google Scholar

Danev, R., Yanagisawa, H., and Kikkawa, M. (2019). Cryo-electron microscopy methodology: current aspects and future directions. Trends Biochem. Sci. 44, 837–848. doi: 10.1016/j.tibs.2019.04.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Darzynkiewicz, Z., Galkowski, D., and Zhao, H. (2008). Analysis of apoptosis by cytometry using TUNEL assay. Methods 44, 250–254. doi: 10.1016/j.ymeth.2007.11.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Davidson, B., Tötsch, M., Wohlschlaeger, J., Hager, T., and Pinamonti, M. (2018). The diagnostic role of BAP1 in serous effusions. Hum. Pathol. 79, 122–126. doi: 10.1016/j.humpath.2018.05.012

PubMed Abstract | CrossRef Full Text | Google Scholar

De Falco, F., Restucci, B., Urraro, C., and Roperto, S. (2020). Microautophagy upregulation in cutaneous lymph nodes of dogs naturally infected by Leishmania infantum. Parasitol. Res. 119, 2245–2255. doi: 10.1007/s00436-020-06718-z

PubMed Abstract | CrossRef Full Text | Google Scholar

de Vasconcelos, N. M., Van Opdenbosch, N., Van Gorp, H., Parthoens, E., and Lamkanfi, M. (2019). Single-cell analysis of pyroptosis dynamics reveals conserved GSDMD-mediated subcellular events that precede plasma membrane rupture. Cell Death Differ. 26, 146–161. doi: 10.1038/s41418-018-0106-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Degterev, A., Hitomi, J., Germscheid, M. I, Ch’en, L., Korkina, O., Teng, X., et al. (2008). Identification of RIP1 kinase as a specific cellular target of necrostatins. Nat. Chem. Biol. 4, 313–321. doi: 10.1038/nchembio.83

PubMed Abstract | CrossRef Full Text | Google Scholar

Del Gobbo, A., Peverelli, E., Treppiedi, D., Lania, A., Mantovani, G., and Ferrero, S. (2016). Expression of protein kinase A regulatory subunits in benign and malignant human thyroid tissues: a systematic review. Exp. Cell Res. 346, 85–90. doi: 10.1016/j.yexcr.2016.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Del Re, D. P., Amgalan, D., Linkermann, A., Liu, Q., and Kitsis, R. N. (2019). Fundamental mechanisms of regulated cell death and implications for heart disease. Physiol. Rev. 99, 1765–1817. doi: 10.1152/physrev.00022.2018

PubMed Abstract | CrossRef Full Text | Google Scholar

Denecker, G., Vercammen, D., Steemans, M., Vanden Berghe, T., Brouckaert, G., Van Loo, G., et al. (2001). Death receptor-induced apoptotic and necrotic cell death: differential role of caspases and mitochondria. Cell Death Differ. 8, 829–840. doi: 10.1038/sj.cdd.4400883

PubMed Abstract | CrossRef Full Text | Google Scholar

Deng, S., Nie, Z. G., Peng, P. J., Liu, Y., Xing, S., Long, L. S., et al. (2019). Decrease of GSK3beta Ser-9 phosphorylation induced osteoblast apoptosis in rat osteoarthritis model. Curr. Med. Sci. 39, 75–80. doi: 10.1007/s11596-019-2002-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Deter, R. L., and De Duve, C. (1967). Influence of glucagon, an inducer of cellular autophagy, on some physical properties of rat liver lysosomes. J. Cell Biol. 33, 437–449. doi: 10.1083/jcb.33.2.437

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Sante, G., Casimiro, M. C., Pestell, T. G., and Pestell, R. G. (2016). Time-Lapse video microscopy for assessment of EYFP-Parkin aggregation as a marker for cellular mitophagy. J. Vis. Exp. 111:e53657. doi: 10.3791/53657

PubMed Abstract | CrossRef Full Text | Google Scholar

Dice, J. F. (1990). Peptide sequences that target cytosolic proteins for lysosomal proteolysis. Trends Biochem. Sci. 15, 305–309. doi: 10.1016/0968-0004(90)90019-8

CrossRef Full Text | Google Scholar

Dillon, C. P., Oberst, A., Weinlich, R., Janke, L. J., Kang, T. B., Ben-Moshe, T., et al. (2012). Survival function of the FADD-CASPASE-8-cFLIP(L) complex. Cell Rep. 1, 401–407. doi: 10.1016/j.celrep.2012.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Dillon, C. P., Weinlich, R., Rodriguez, D. A., Cripps, J. G., Quarato, G., Gurung, P., et al. (2014). RIPK1 blocks early postnatal lethality mediated by caspase-8 and RIPK3. Cell 157, 1189–1202. doi: 10.1016/j.cell.2014.04.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Dimas, D. T., Perlepe, C. D., Sergentanis, T. N., Misitzis, I., Kontzoglou, K., Patsouris, E., et al. (2018). The prognostic significance of Hsp70/Hsp90 expression in breast cancer: a systematic review and meta-analysis. Anticancer Res. 38, 1551–1562.

Google Scholar

Dinarvand, N., Khanahmad, H., Hakimian, S. M., Sheikhi, A., Rashidi, B., and Pourfarzam, M. (2020). Evaluation of long-chain acyl-coenzyme A synthetase 4 (ACSL4) expression in human breast cancer. Res. Pharm. Sci. 15, 48–56. doi: 10.4103/1735-5362.278714

PubMed Abstract | CrossRef Full Text | Google Scholar

Ding, J., Wang, K., Liu, W., She, Y., Sun, Q., Shi, J., et al. (2016). Pore-forming activity and structural autoinhibition of the gasdermin family. Nature 535, 111–116. doi: 10.1038/nature18590

PubMed Abstract | CrossRef Full Text | Google Scholar

Ding, W., Shang, L., Huang, J. F., Li, N., Chen, D., Xue, L. X., et al. (2015). Receptor interacting protein 3-induced RGC-5 cell necroptosis following oxygen glucose deprivation. BMC Neurosci. 16:49. doi: 10.1186/s12868-015-0187-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Dixon, S. J., Lemberg, K. M., Lamprecht, M. R., Skouta, R., Zaitsev, E. M., Gleason, C. E., et al. (2012). Ferroptosis: an iron-dependent form of nonapoptotic cell death. Cell 149, 1060–1072. doi: 10.1016/j.cell.2012.03.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Doll, S., Proneth, B., Tyurina, Y. Y., Panzilius, E., Kobayashi, S., Ingold, I., et al. (2017). ACSL4 dictates ferroptosis sensitivity by shaping cellular lipid composition. Nat. Chem. Biol. 13, 91–98. doi: 10.1038/nchembio.2239

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, S., Zhao, S., Wang, Y., Pang, T., and Ru, Y. (2015). Analysis of blood cell autophagy distribution in hematologic diseases by transmission electron microscope. Zhonghua Xue Ye Xue Za Zhi 36, 144–147.

Google Scholar

Drummen, G. P., van Liebergen, L. C., Op den Kamp, J. A., and Post, J. A. (2002). C11-BODIPY(581/591), an oxidation-sensitive fluorescent lipid peroxidation probe: (micro)spectroscopic characterization and validation of methodology. Free Radic Biol. Med. 33, 473–490. doi: 10.1016/s0891-5849(02)00848-1

CrossRef Full Text | Google Scholar

du Toit, A., Hofmeyr, J. S., Gniadek, T. J., and Loos, B. (2018). Measuring autophagosome flux. Autophagy 14, 1060–1071.

Google Scholar

Elmore, S. (2007). Apoptosis: a review of programmed cell death. Toxicol. Pathol. 35, 495–516.

Google Scholar

Ericsson, J. L. (1969). Studies on induced cellular autophagy. II. Characterization of the membranes bordering autophagosomes in parenchymal liver cells. Exp. Cell Res. 56, 393–405.

Google Scholar

Eriksson, S., Kim, S. K., Kubista, M., and Norden, B. (1993). Binding of 4’,6-diamidino-2-phenylindole (DAPI) to AT regions of DNA: evidence for an allosteric conformational change. Biochemistry 32, 2987–2998. doi: 10.1021/bi00063a009

PubMed Abstract | CrossRef Full Text | Google Scholar

Farnebo, L., Jerhammar, F., Ceder, R., Grafström, R. C., Vainikka, L., Thunell, L., et al. (2011). Combining factors on protein and gene level to predict radioresponse in head and neck cancer cell lines. J. Oral Pathol. Med. 40, 739–746. doi: 10.1111/j.1600-0714.2011.01036.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, C., Jin, X., Han, Y., Guo, R., Zou, J., Li, Y., et al. (2020). Expression and prognostic analyses of ITGA3, ITGA5, and ITGA6 in head and neck squamous cell carcinoma. Med. Sci. Monit. 26:e926800.

Google Scholar

Feng, C., Wu, J., Yang, F., Qiu, M., Hu, S., Guo, S., et al. (2018). Expression of Bcl-2 is a favorable prognostic biomarker in lung squamous cell carcinoma. Oncol. Lett. 15, 6925–6930.

Google Scholar

Feoktistova, M., Geserick, P., and Leverkus, M. (2016). Crystal violet assay for determining viability of cultured cells. Cold Spring Harb. Protoc. 2016:pdb.prot087379. doi: 10.1101/pdb.prot087379

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernandez, S. A., Lobo, A. Z., Oliveira, Z. N., Fukumori, L. M., Robert, A. M. P., and Rivitti, E. A. (2003). Prevalence of antinuclear autoantibodies in the serum of normal blood dornors. Rev. Hosp. Clin. Fac. Med. Sao Paulo 58, 315–319. doi: 10.1590/s0041-87812003000600005

PubMed Abstract | CrossRef Full Text | Google Scholar

Fink, S. L., and Cookson, B. T. (2006). Caspase-1-dependent pore formation during pyroptosis leads to osmotic lysis of infected host macrophages. Cell Microbiol. 8, 1812–1825. doi: 10.1111/j.1462-5822.2006.00751.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Fitzpatrick, A. W., and Saibil, H. R. (2019). Cryo-EM of amyloid fibrils and cellular aggregates. Curr. Opin. Struct. Biol. 58, 34–42. doi: 10.1016/j.sbi.2019.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Florey, O., Kim, S. E., Sandoval, C. P., Haynes, C. M., and Overholtzer, M. (2011). Autophagy machinery mediates macroendocytic processing and entotic cell death by targeting single membranes. Nat. Cell Biol. 13, 1335–1343. doi: 10.1038/ncb2363

PubMed Abstract | CrossRef Full Text | Google Scholar

Fricker, M., Tolkovsky, A. M., Borutaite, V., Coleman, M., and Brown, G. C. (2018). Neuronal cell death. Physiol. Rev. 98, 813–880.

Google Scholar

Friedmann Angeli, J. P., Schneider, M., Proneth, B., Tyurina, Y. Y., Tyurin, V. A., Hammond, V. J., et al. (2014). Inactivation of the ferroptosis regulator Gpx4 triggers acute renal failure in mice. Nat. Cell Biol. 16, 1180–1191. doi: 10.1038/ncb3064

PubMed Abstract | CrossRef Full Text | Google Scholar

Fu, D. R., Kato, D., Watabe, A., Endo, Y., and Kadosawa, T. (2014). Prognostic utility of apoptosis index, Ki-67 and survivin expression in dogs with nasal carcinoma treated with orthovoltage radiation therapy. J. Vet. Med. Sci. 76, 1505–1512. doi: 10.1292/jvms.14-0245

PubMed Abstract | CrossRef Full Text | Google Scholar

Fu, T. M., Li, Y., Lu, A., Li, Z., Vajjhala, P. R., Cruz, A. C., et al. (2016). Cryo-EM structure of caspase-8 Tandem DED filament reveals assembly and regulation mechanisms of the death-inducing signaling complex. Mol. Cell 64, 236–250. doi: 10.1016/j.molcel.2016.09.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Gajate, P., Alonso-Gordoa, T., Martínez-Sáez, O., Molina-Cerrillo, J., and Grande, E. (2018). Prognostic and predictive role of the PI3K-AKT-mTOR pathway in neuroendocrine neoplasms. Clin. Transl. Oncol. 20, 561–569. doi: 10.1007/s12094-017-1758-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Galluzzi, L., Bravo-San Pedro, J. M., Vitale, I., Aaronson, S. A., Abrams, J. M., Adam, D., et al. (2015). Essential versus accessory aspects of cell death: recommendations of the NCCD 2015. Cell Death Differ. 22, 58–73.

Google Scholar

Galluzzi, L., Kepp, O., Krautwald, S., Kroemer, G., and Linkermann, A. (2014). Molecular mechanisms of regulated necrosis. Semin. Cell Dev. Biol. 35, 24–32. doi: 10.1016/j.semcdb.2014.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Galluzzi, L., Vitale, I., Aaronson, S. A., Abrams, J. M., Adam, D., Agostinis, P., et al. (2018). Molecular mechanisms of cell death: recommendations of the nomenclature committee on cell death 2018. Cell Death Differ. 25, 486–541.

Google Scholar

Galluzzi, L., Vitale, I., Abrams, J. M., Alnemri, E. S., Baehrecke, E. H., Blagosklonny, M. V., et al. (2012). Molecular definitions of cell death subroutines: recommendations of the nomenclature committee on cell death 2012. Cell Death Differ. 19, 107–120. doi: 10.1038/cdd.2011.96

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, J., Qiu, X., Xi, G., Liu, H., Zhang, F., Lv, T., et al. (2018). Downregulation of GSDMD attenuates tumor proliferation via the intrinsic mitochondrial apoptotic pathway and inhibition of EGFR/Akt signaling and predicts a good prognosis in non-small cell lung cancer. Oncol. Rep. 40, 1971–1984.

Google Scholar

García de Guadiana-Romualdo, L., Cerezuela-Fuentes, P., Español-Morales, I., Esteban-Torrella, P., Jiménez-Santos, E., Hernando-Holgado, A., et al. (2019). Prognostic value of procalcitonin and lipopolysaccharide binding protein in cancer patients with chemotherapy-associated febrile neutropenia presenting to an emergency department. Biochem. Med. 29:010702.

Google Scholar

Garcia-Nafria, J., and Tate, C. G. (2020). Cryo-electron microscopy: moving beyond X-Ray crystal structures for drug receptors and drug development. Annu. Rev. Pharmacol. Toxicol. 60, 51–71. doi: 10.1146/annurev-pharmtox-010919-023545

PubMed Abstract | CrossRef Full Text | Google Scholar

Garrod, K. R., Moreau, H. D., Garcia, Z., Lemaitre, F., Bouvier, I., Albert, M. L., et al. (2012). Dissecting T cell contraction in vivo using a genetically encoded reporter of apoptosis. Cell Rep. 2, 1438–1447. doi: 10.1016/j.celrep.2012.10.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Gaschler, M. M., Hu, F., Feng, H., Linkermann, A., Min, W., and Stockwell, B. R. (2018). Determination of the subcellular localization and mechanism of action of ferrostatins in suppressing ferroptosis. ACS Chem. Biol. 13, 1013–1020. doi: 10.1021/acschembio.8b00199

PubMed Abstract | CrossRef Full Text | Google Scholar

Geng, J., Ito, Y., Shi, L., Amin, P., Chu, J., Ouchida, A. T., et al. (2017). Regulation of RIPK1 activation by TAK1-mediated phosphorylation dictates apoptosis and necroptosis. Nat. Commun. 8:359.

Google Scholar

George, T. C., Basiji, D. A., Hall, B. E., Lynch, D. H., Ortyn, W. E., Perry, D. J., et al. (2004). Distinguishing modes of cell death using the imagestream multispectral imaging flow cytometer. Cytomet. A 59, 237–245. doi: 10.1002/cyto.a.20048

PubMed Abstract | CrossRef Full Text | Google Scholar

Geserick, P., Hupe, M., Moulin, M., Wong, W. W., Feoktistova, M., Kellert, B., et al. (2009). Cellular IAPs inhibit a cryptic CD95-induced cell death by limiting RIP1 kinase recruitment. J. Cell Biol. 187, 1037–1054. doi: 10.1083/jcb.200904158

PubMed Abstract | CrossRef Full Text | Google Scholar

Ghayyem, S., and Faridbod, F. (2018). A fluorescent aptamer/carbon dots based assay for cytochrome c protein detection as a biomarker of cell apoptosis. Methods Appl. Fluoresc. 7:015005. doi: 10.1088/2050-6120/aaf0ca

PubMed Abstract | CrossRef Full Text | Google Scholar

Giampazolias, E., Zunino, B., Dhayade, S., Bock, F., Cloix, C., Cao, K., et al. (2017). Mitochondrial permeabilization engages NF-kappaB-dependent anti-tumour activity under caspase deficiency. Nat. Cell Biol. 19, 1116–1129. doi: 10.1038/ncb3596

PubMed Abstract | CrossRef Full Text | Google Scholar

Gil, M., and Kim, K. E. (2019). Interleukin-18 is a prognostic biomarker correlated with CD8(+) T cell and natural killer cell infiltration in skin cutaneous melanoma. J. Clin. Med. 8:1993. doi: 10.3390/jcm8111993

PubMed Abstract | CrossRef Full Text | Google Scholar

Gong, Y., Fan, Z., Luo, G., Yang, C., Huang, Q., Fan, K., et al. (2019). The role of necroptosis in cancer biology and therapy. Mol. Cancer 18:100.

Google Scholar

Grant, L. R., Milic, I., and Devitt, A. (2019). Apoptotic cell-derived extracellular vesicles: structure-function relationships. Biochem. Soc. Trans. 47, 509–516. doi: 10.1042/bst20180080

PubMed Abstract | CrossRef Full Text | Google Scholar

Green, D. R., and Kroemer, G. (2005). Pharmacological manipulation of cell death: clinical applications in sight? J. Clin. Invest. 115, 2610–2617. doi: 10.1172/jci26321

PubMed Abstract | CrossRef Full Text | Google Scholar

Greystoke, A., Cummings, J., Ward, T., Simpson, K., Renehan, A., Butt, F., et al. (2008). Optimisation of circulating biomarkers of cell death for routine clinical use. Ann. Oncol. 19, 990–995. doi: 10.1093/annonc/mdn014

PubMed Abstract | CrossRef Full Text | Google Scholar

Grootjans, S., Hassannia, B., Delrue, I., Goossens, V., Wiernicki, B., Dondelinger, Y., et al. (2016). A real-time fluorometric method for the simultaneous detection of cell death type and rate. Nat. Protoc. 11, 1444–1454. doi: 10.1038/nprot.2016.085

PubMed Abstract | CrossRef Full Text | Google Scholar

Gu, S., Tan, J., Li, Q., Liu, S., Ma, J., Zheng, Y., et al. (2020). Downregulation of LAPTM4B contributes to the impairment of the autophagic flux via unopposed activation of mTORC1 signaling during myocardial ischemia/reperfusion injury. Circ. Res. 128, e148–e165.

Google Scholar

Guerrero-Ferreira, R., Kovacik, L., Ni, D., and Stahlberg, H. (2020). New insights on the structure of alpha-synuclein fibrils using cryo-electron microscopy. Curr. Opin. Neurobiol. 61, 89–95. doi: 10.1016/j.conb.2020.01.014

CrossRef Full Text | Google Scholar

Guerriero, E., Capone, F., Accardo, M., Sorice, A., Costantini, M., Colonna, G., et al. (2015). GPX4 and GPX7 over-expression in human hepatocellular carcinoma tissues. Eur. J. Histochem. 59:2540.

Google Scholar

Guo, G. F., Wang, Y. X., Zhang, Y. J., Chen, X. X., Lu, J. B., Wang, H. H., et al. (2019). Predictive and prognostic implications of 4E-BP1, Beclin-1, and LC3 for cetuximab treatment combined with chemotherapy in advanced colorectal cancer with wild-type KRAS: analysis from real-world data. World J. Gastroenterol. 25, 1840–1853. doi: 10.3748/wjg.v25.i15.1840

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, L. M., Wang, Z., Li, S. P., Wang, M., Yan, W. T., Liu, F. X., et al. (2020). RIP3/MLKL-mediated neuronal necroptosis induced by methamphetamine at 39°C. Neural Regen. Res. 15, 865–874. doi: 10.4103/1673-5374.268902

PubMed Abstract | CrossRef Full Text | Google Scholar

Gyulkhandanyan, A. V., Mutlu, A., Freedman, J., and Leytin, V. (2012). Markers of platelet apoptosis: methodology and applications. J. Thromb. Thrombolys. 33, 397–411. doi: 10.1007/s11239-012-0688-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Hacker, G. (2000). The morphology of apoptosis. Cell Tissue Res. 301, 5–17.

Google Scholar

Hashimoto, K., Besla, R., Zamel, R., Juvet, S., Kim, H., Azad, S., et al. (2016). Circulating cell death biomarkers may predict survival in human lung transplantation. Am. J. Respir. Crit. Care Med. 194, 97–105. doi: 10.1164/rccm.201510-2115oc

PubMed Abstract | CrossRef Full Text | Google Scholar

He, S., Huang, S., and Shen, Z. (2016). Biomarkers for the detection of necroptosis. Cell Mol. Life Sci. 73, 2177–2181. doi: 10.1007/s00018-016-2192-3

PubMed Abstract | CrossRef Full Text | Google Scholar

He, T., Xu, X., Zhang, X. Y., Shen, P., Ling, J. Y., Han, Y. X., et al. (2019). Effectiveness of huai qi huang granules on juvenile collagen-induced arthritis and its influence on pyroptosis pathway in synovial tissue. Curr. Med. Sci. 39, 784–793. doi: 10.1007/s11596-019-2106-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Heckmann, B. L., Teubner, B. J. W., Boada-Romero, E., Tummers, B., Guy, C., Fitzgerald, P., et al. (2020a). Noncanonical function of an autophagy protein prevents spontaneous Alzheimer’s disease. Sci. Adv. 6:eabb9036. doi: 10.1126/sciadv.abb9036

CrossRef Full Text | Google Scholar

Heckmann, B. L., Teubner, B. J. W., Tummers, B., Boada-Romero, E., Harris, L., Yang, M., et al. (2020b). LC3-associated endocytosis facilitates beta-amyloid clearance and mitigates neurodegeneration in murine Alzheimer’s Disease. Cell 183, 1733–1734. doi: 10.1016/j.cell.2020.11.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Heng, B., Ding, H., Ren, H., Shi, L., Chen, J., Wu, X., et al. (2016). Diagnostic performance of fas ligand mRNA expression for acute rejection after kidney transplantation: a systematic review and meta-analysis. PLoS One 11:e0165628. doi: 10.1371/journal.pone.0165628

PubMed Abstract | CrossRef Full Text | Google Scholar

Hengartner, M. O., and Horvitz, H. R. (1994). The ins and outs of programmed cell death during C. elegans development. Philos. Trans. R. Soc. Lond. B Biol. Sci. 345, 243–246. doi: 10.1098/rstb.1994.0100

PubMed Abstract | CrossRef Full Text | Google Scholar

Henrich, M., Bauknecht, A., Hecht, W., and Reinacher, M. (2019). Lack of Bcl-2 expression in feline follicular lymphomas. J. Vet. Diagn. Invest. 31, 809–817. doi: 10.1177/1040638719877916

PubMed Abstract | CrossRef Full Text | Google Scholar

Hentze, H., Schwoebel, F., Lund, S., Keel, M., Ertel, W., Wendel, A., et al. (2001). In vivo and in vitro evidence for extracellular caspase activity released from apoptotic cells. Biochem. Biophys. Res. Commun. 283, 1111–1117. doi: 10.1006/bbrc.2001.4918

PubMed Abstract | CrossRef Full Text | Google Scholar

Hessler, J. A., Budor, A., Putchakayala, K., Mecke, A., Rieger, D., Banaszak Holl, M. M., et al. (2005). Atomic force microscopy study of early morphological changes during apoptosis. Langmuir 21, 9280–9286. doi: 10.1021/la051837g

PubMed Abstract | CrossRef Full Text | Google Scholar

Holdenrieder, S., Von Pawel, J., Nagel, D., and Stieber, P. (2010). Long-term stability of circulating nucleosomes in serum. Anticancer Res. 30, 1613–1615.

Google Scholar

Holler, N., Zaru, R., Micheau, O., Thome, M., Attinger, A., Valitutti, S., et al. (2000). Fas triggers an alternative, caspase-8-independent cell death pathway using the kinase RIP as effector molecule. Nat. Immunol. 1, 489–495. doi: 10.1038/82732

PubMed Abstract | CrossRef Full Text | Google Scholar

Hosonaga, M., Arima, Y., Sampetrean, O., Komura, D., Koya, I., Sasaki, T., et al. (2018). HER2 heterogeneity is associated with poor survival in HER2-positive breast cancer. Int. J. Mol. Sci. 19:2158. doi: 10.3390/ijms19082158

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, B., Geng, Z., Yan, S., Li, Z., Cai, J., and Wang, Z. (2017). Water-soluble conjugated polymer as a fluorescent probe for monitoring adenosine triphosphate level fluctuation in cell membranes during cell apoptosis and in vivo. Anal. Chem. 89, 8816–8821. doi: 10.1021/acs.analchem.7b01212

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, G., Bao, J., Shao, X., Zhou, W., Wu, B., Ni, Z., et al. (2020). Inhibiting pannexin-1 alleviates sepsis-induced acute kidney injury via decreasing NLRP3 inflammasome activation and cell apoptosis. Life Sci. 254:117791. doi: 10.1016/j.lfs.2020.117791

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, J. F., Shang, L., Zhang, M. Q., Wang, H., Chen, D., Tong, J. B., et al. (2013). Differential neuronal expression of receptor interacting protein 3 in rat retina: involvement in ischemic stress response. BMC Neurosci. 14:16. doi: 10.1186/1471-2202-14-16

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, K. H., Fang, W. L., Li, A. F., Liang, P. H., Wu, C. W., Shyr, Y. M., et al. (2018). Caspase-3, a key apoptotic protein, as a prognostic marker in gastric cancer after curative surgery. Int. J. Surg. 52, 258–263. doi: 10.1016/j.ijsu.2018.02.055

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, Z. C., Li, H., Sun, Z. Q., Zheng, J., Zhao, R. K., Chen, J., et al. (2018). Distinct prognostic roles of HSPB1 expression in non-small cell lung cancer. Neoplasma 65, 161–166. doi: 10.4149/neo_2018_102

CrossRef Full Text | Google Scholar

Huerta, S., Goulet, E. J., Huerta-Yepez, S., and Livingston, E. H. (2007). Screening and detection of apoptosis. J. Surg. Res. 139, 143–156. doi: 10.1016/j.jss.2006.07.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Hui, Y., Chen, S., Lombardo, K. A., Resnick, M. B., Mangray, S., and Matoso, A. (2017). ALOX15 immunohistochemistry aids in the diagnosis of eosinophilic esophagitis on pauci-eosinophilic biopsies in children. Pediatr. Dev. Pathol. 20, 375–380. doi: 10.1177/1093526617693106

PubMed Abstract | CrossRef Full Text | Google Scholar

Hunter, A. L., Choy, J. C., and Granville, D. J. (2005). Detection of apoptosis in cardiovascular diseases. Methods Mol. Med. 112, 277–289. doi: 10.1385/1-59259-879-x:277

CrossRef Full Text | Google Scholar

Hurley, J. H., and Nogales, E. (2016). Next-generation electron microscopy in autophagy research. Curr. Opin. Struct. Biol. 41, 211–216. doi: 10.1016/j.sbi.2016.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Itoh, K., Jacob, J., and Sokol, Y. S. (1998). A role for xenopus frizzled 8 in dorsal development. Mech. Dev. 74, 145–157. doi: 10.1016/s0925-4773(98)00076-8

CrossRef Full Text | Google Scholar

Jarvis, T. S., Roland, F. M., Dubiak, K. M., Huber, P. W., and Smith, B. D. (2018). Time-lapse imaging of cell death in cell culture and whole living organisms using turn-on deep-red fluorescent probes. J. Mater. Chem. B 6, 4963–4971. doi: 10.1039/c8tb01495g

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiao, X. D., Qin, B. D., You, P., Cai, J., and Zang, Y. S. (2018). The prognostic value of TP53 and its correlation with EGFR mutation in advanced non-small cell lung cancer, an analysis based on cBioPortal data base. Lung Cancer 123, 70–75. doi: 10.1016/j.lungcan.2018.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Jones, K., Kim, D. W., Park, J. S., and Khang, C. H. (2016). Live-cell fluorescence imaging to investigate the dynamics of plant cell death during infection by the rice blast fungus Magnaporthe oryzae. BMC Plant Biol. 16:69. doi: 10.1186/s12870-016-0756-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Jorgensen, I., Zhang, Y., Krantz, B. A., and Miao, E. A. (2016). Pyroptosis triggers pore-induced intracellular traps (PITs) that capture bacteria and lead to their clearance by efferocytosis. J. Exp. Med. 213, 2113–2128. doi: 10.1084/jem.20151613

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaiser, W. J., Daley-Bauer, L. P., Thapa, R. J., Mandal, P., Berger, S. B., Huang, C., et al. (2014). RIP1 suppresses innate immune necrotic as well as apoptotic cell death during mammalian parturition. Proc. Natl. Acad. Sci. U.S.A. 111, 7753–7758. doi: 10.1073/pnas.1401857111

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamal, A., Boehm, M. F., and Burrows, F. J. (2004). Therapeutic and diagnostic implications of Hsp90 activation. Trends Mol. Med. 10, 283–290. doi: 10.1016/j.molmed.2004.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Kang, S. J., Wang, S., Hara, H., Peterson, E. P., Namura, S., Amin-Hanjani, S., et al. (2000). Dual role of caspase-11 in mediating activation of caspase-1 and caspase-3 under pathological conditions. J. Cell Biol. 149, 613–622. doi: 10.1083/jcb.149.3.613

PubMed Abstract | CrossRef Full Text | Google Scholar

Karamitopoulou, E., Cioccari, L., Jakob, S., Vallan, C., Schaffner, T., Zimmermann, A., et al. (2007). Active caspase 3 and DNA fragmentation as markers for apoptotic cell death in primary and metastatic liver tumours. Pathology 39, 558–564. doi: 10.1080/00313020701684375

PubMed Abstract | CrossRef Full Text | Google Scholar

Kendig, D. M., and Tarloff, J. B. (2007). Inactivation of lactate dehydrogenase by several chemicals: implications for in vitro toxicology studies. Toxicol. Vitro 21, 125–132. doi: 10.1016/j.tiv.2006.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Kerr, J. F. (1971). Shrinkage necrosis: a distinct mode of cellular death. J. Pathol. 105, 13–20. doi: 10.1002/path.1711050103

PubMed Abstract | CrossRef Full Text | Google Scholar

Kerr, J. F., Winterford, C. M., and Harmon, B. V. (1994). Apoptosis. Its significance in cancer and cancer therapy. Cancer 73, 2013–2026. doi: 10.1002/1097-0142(19940415)73:8<2013::aid-cncr2820730802>3.0.co;2-j

CrossRef Full Text | Google Scholar

Kerr, J. F., Wyllie, A. H., and Currie, A. R. (1972). Apoptosis: a basic biological phenomenon with wide-ranging implications in tissue kinetics. Br. J. Cancer 26, 239–257. doi: 10.1038/bjc.1972.33

PubMed Abstract | CrossRef Full Text | Google Scholar

Kessenbrock, K., Krumbholz, M., Schonermarck, U., Back, W., Gross, W. L., Werb, Z., et al. (2009). Netting neutrophils in autoimmune small-vessel vasculitis. Nat. Med. 15, 623–625. doi: 10.1038/nm.1959

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, J. Y., Zhao, H., Martinez, J., Doggett, T. A., Kolesnikov, A. V., Tang, P. H., et al. (2013). Noncanonical autophagy promotes the visual cycle. Cell 154, 365–376. doi: 10.1016/j.cell.2013.06.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Kinowaki, Y., Kurata, M., Ishibashi, S., Ikeda, M., Tatsuzawa, A., Yamamoto, M., et al. (2018). Glutathione peroxidase 4 overexpression inhibits ROS-induced cell death in diffuse large B-cell lymphoma. Lab. Invest. 98, 609–619. doi: 10.1038/s41374-017-0008-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Knapp, P. E., Bartlett, W. P., Williams, L. A., Yamada, M., Ikenaka, K., and Skoff, R. P. (1999). Programmed cell death without DNA fragmentation in the jimpy mouse: secreted factors can enhance survival. Cell Death Differ. 6, 136–145. doi: 10.1038/sj.cdd.4400457

PubMed Abstract | CrossRef Full Text | Google Scholar

Knott, G., Rosset, S., and Cantoni, M. (2011). Focussed ion beam milling and scanning electron microscopy of brain tissue. J. Vis. Exp. 2011:e2588.

Google Scholar

Kolb, J. P., Oguin, T. H. III, Oberst, A., and Martinez, J. (2017). Programmed cell death and inflammation: winter is coming. Trends Immunol. 38, 705–718. doi: 10.1016/j.it.2017.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Konca, K., Lankoff, A., Banasik, A., Lisowska, H., Kuszewski, T., Gozdz, S., et al. (2003). A cross-platform public domain PC image-analysis program for the comet assay. Mutat. Res. 534, 15–20. doi: 10.1016/s1383-5718(02)00251-6

CrossRef Full Text | Google Scholar

Kong, Z., Liu, R., and Cheng, Y. (2019). Artesunate alleviates liver fibrosis by regulating ferroptosis signaling pathway. Biomed. Pharmacother. 109, 2043–2053. doi: 10.1016/j.biopha.2018.11.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Koopman, G., Reutelingsperger, C. P., Kuijten, G. A., Keehnen, R. M., Pals, S. T., and van Oers, M. H. (1994). Annexin V for flow cytometric detection of phosphatidylserine expression on B cells undergoing apoptosis. Blood 84, 1415–1420. doi: 10.1182/blood.v84.5.1415.1415

CrossRef Full Text | Google Scholar

Kovacs, S. B., and Miao, E. A. (2017). Gasdermins: effectors of pyroptosis. Trends Cell Biol. 27, 673–684. doi: 10.1016/j.tcb.2017.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Kramer, G., Erdal, H., Mertens, H. J., Nap, M., Mauermann, J., Steiner, G., et al. (2004). Differentiation between cell death modes using measurements of different soluble forms of extracellular cytokeratin 18. Cancer Res. 64, 1751–1756. doi: 10.1158/0008-5472.can-03-2455

PubMed Abstract | CrossRef Full Text | Google Scholar

Kranich, J., Chlis, N. K., Rausch, L., Latha, A., Schifferer, M., Kurz, T., et al. (2020). In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning. J. Extracell Ves. 9:1792683. doi: 10.1080/20013078.2020.1792683

PubMed Abstract | CrossRef Full Text | Google Scholar

Kroemer, G., El-Deiry, W. S., Golstein, P., Peter, M. E., Vaux, D., Vandenabeele, P., et al. (2005). Classification of cell death: recommendations of the nomenclature committee on cell death. Cell Death Differ. 12(Suppl. 2), 1463–1467. doi: 10.1038/sj.cdd.4401724

PubMed Abstract | CrossRef Full Text | Google Scholar

Kroemer, G., Galluzzi, L., and Brenner, C. (2007). Mitochondrial membrane permeabilization in cell death. Physiol. Rev. 87, 99–163. doi: 10.1152/physrev.00013.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Kroemer, G., Galluzzi, L., Vandenabeele, P., Abrams, J., Alnemri, E. S., Baehrecke, E. H., et al. (2009). Classification of cell death: recommendations of the Nomenclature committee on cell death 2009. Cell Death Differ. 16, 3–11. doi: 10.1038/cdd.2008.150

PubMed Abstract | CrossRef Full Text | Google Scholar

Krysko, D. V., Vanden Berghe, T., D’Herde, K., and Vandenabeele, P. (2008). Apoptosis and necrosis: detection, discrimination and phagocytosis. Methods 44, 205–221. doi: 10.1016/j.ymeth.2007.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Ku, N. O., Strnad, P., Bantel, H., and Omary, M. B. (2016). Keratins: Biomarkers and modulators of apoptotic and necrotic cell death in the liver. Hepatology 64, 966–976. doi: 10.1002/hep.28493

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuma, A., Komatsu, M., and Mizushima, N. (2017). Autophagy-monitoring and autophagy-deficient mice. Autophagy 13, 1619–1628. doi: 10.1080/15548627.2017.1343770

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, M., and Sandhir, R. (2018). Hydrogen sulfide in physiological and pathological mechanisms in brain. CNS Neurol. Disord. Drug Targets 17, 654–670. doi: 10.2174/1871527317666180605072018

PubMed Abstract | CrossRef Full Text | Google Scholar

Kunac, N., Sundov, Z., and Vilovic, K. (2019). Apoptosis as a prognostic factor in colorectal carcinoma: comparison of TUNEL method and immunohistochemical expression of caspase-3. Appl. Immunohistochem. Mol. Morphol. 27, e22–e27.

Google Scholar

Kuwana, T. (2019). Cryo-electron microscopy to study bax pores and MOMP. Methods Mol. Biol. 1877, 247–256. doi: 10.1007/978-1-4939-8861-7_17

CrossRef Full Text | Google Scholar

Kuznetsov, Y. G., Malkin, A. J., and McPherson, A. (1997). Atomic force microscopy studies of living cells: visualization of motility, division, aggregation, transformation, and apoptosis. J. Struct. Biol. 120, 180–191. doi: 10.1006/jsbi.1997.3936

PubMed Abstract | CrossRef Full Text | Google Scholar

Lamkanfi, M., Declercq, W., Kalai, M., Saelens, X., and Vandenabeele, P. (2002). Alice in caspase land. A phylogenetic analysis of caspases from worm to man. Cell Death Differ. 9, 358–361. doi: 10.1038/sj.cdd.4400989

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, J. H., Rao, M. V., Yang, D. S., Stavrides, P., Im, E., Pensalfini, A., et al. (2019). Transgenic expression of a ratiometric autophagy probe specifically in neurons enables the interrogation of brain autophagy in vivo. Autophagy 15, 543–557. doi: 10.1080/15548627.2018.1528812

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, S., Suh, G. Y., Ryter, S. W., and Choi, A. M. (2016). Regulation and function of the nucleotide binding domain leucine-rich repeat-containing receptor, pyrin domain-containing-3 inflammasome in lung disease. Am. J. Respir. Cell Mol. Biol. 54, 151–160. doi: 10.1165/rcmb.2015-0231tr

PubMed Abstract | CrossRef Full Text | Google Scholar

Lei, Q., Yi, T., and Chen, C. (2018). NF-κB-Gasdermin D (GSDMD) Axis Couples oxidative stress and NACHT, LRR and PYD domains-containing protein 3 (NLRP3) inflammasome-mediated cardiomyocyte pyroptosis following myocardial infarction. Med. Sci. Monit. 24, 6044–6052. doi: 10.12659/msm.908529

PubMed Abstract | CrossRef Full Text | Google Scholar

Lelliott, P. M., Momota, M., Lee, M. S. J., Kuroda, E., Iijima, N., Ishii, K. J., et al. (2019). Rapid quantification of NETs in vitro and in whole blood samples by imaging flow cytometry. Cytomet. A 95, 565–578. doi: 10.1002/cyto.a.23767

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, H., Gao, L., Min, J., Yang, Y., and Zhang, R. (2021). Neferine suppresses autophagy-induced inflammation, oxidative stress and adipocyte differentiation in Graves’ orbitopathy. J. Cell Mol. Med. 25, 1949–1957. doi: 10.1111/jcmm.15931

CrossRef Full Text | Google Scholar

Li, H., Zhu, H., Xu, C. J., and Yuan, J. (1998). Cleavage of BID by caspase 8 mediates the mitochondrial damage in the Fas pathway of apoptosis. Cell 94, 491–501. doi: 10.1016/s0092-8674(00)81590-1

CrossRef Full Text | Google Scholar

Li, L., Feng, R., Xu, Q., Zhang, F., Liu, T., Cao, J., et al. (2017). Expression of the β3 subunit of Na(+)/K(+)-ATPase is increased in gastric cancer and regulates gastric cancer cell progression and prognosis via the PI3/AKT pathway. Oncotarget 8, 84285–84299. doi: 10.18632/oncotarget.20894

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, M., Jiang, X., Wang, G., Zhai, C., Liu, Y., Li, H., et al. (2019). ITGB4 is a novel prognostic factor in colon cancer. J. Cancer 10, 5223–5233. doi: 10.7150/jca.29269

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, X., Fang, F., Gao, Y., Tang, G., Xu, W., Wang, Y., et al. (2019). ROS Induced by killerred targeting mitochondria (mtKR) enhances apoptosis caused by radiation via Cyt c/Caspase-3 pathway. Oxid. Med. Cell Longev. 2019: 4528616.

Google Scholar

Li, N., Shang, L., Wang, S. C., Liao, L. S., Chen, D., Huang, J. F., et al. (2016). The toxic effect of ALLN on primary rat retinal neurons. Neurotox Res. 30, 392–406. doi: 10.1007/s12640-016-9624-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, P., Nijhawan, D., Budihardjo, I., Srinivasula, S. M., Ahmad, M., Alnemri, E. S., et al. (1997). Cytochrome c and dATP-dependent formation of Apaf-1/caspase-9 complex initiates an apoptotic protease cascade. Cell 91, 479–489. doi: 10.1016/s0092-8674(00)80434-1

CrossRef Full Text | Google Scholar

Li, Y., Fu, T. M., Lu, A., Witt, K., Ruan, J., Shen, C., et al. (2018). Cryo-EM structures of ASC and NLRC4 CARD filaments reveal a unified mechanism of nucleation and activation of caspase-1. Proc. Natl. Acad. Sci. U.S.A. 115, 10845–10852. doi: 10.1073/pnas.1810524115

PubMed Abstract | CrossRef Full Text | Google Scholar

Liao, L., Shang, L., Li, N., Wang, S., Wang, M., Huang, Y., et al. (2017). Mixed lineage kinase domain-like protein induces RGC-5 necroptosis following elevated hydrostatic pressure. Acta Biochim. Biophys. Sin. 49, 879–889. doi: 10.1093/abbs/gmx088

PubMed Abstract | CrossRef Full Text | Google Scholar

Liao, S., Hu, X., Liu, Z., Lin, Y., Liang, R., Zhang, Y., et al. (2019). Synergistic action of microwave-induced mild hyperthermia and paclitaxel in inducing apoptosis in the human breast cancer cell line MCF-7. Oncol. Lett. 17, 603–615.

Google Scholar

Liao, Y., Zhang, H., He, D., Wang, Y., Cai, B., Chen, J., et al. (2019). Retinal pigment epithelium cell death is associated with NLRP3 inflammasome activation by all-trans retinal. Invest. Ophthalmol. Vis. Sci. 60, 3034–3045. doi: 10.1167/iovs.18-26360

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, J. Y., Ju, S. T., Wu, H. L., and Tung, T. C. (1973). The binding of abrin and ricin by Ehrlich ascites tumor cells. Cancer Res. 33, 2688–2691.

Google Scholar

Liu, D., Dong, Z., Xiang, F., Liu, H., Wang, Y., Wang, Q., et al. (2020). Dendrobium alkaloids promote neural function after cerebral ischemia-reperfusion injury through inhibiting pyroptosis induced neuronal death in both in vivo and in vitro models. Neurochem. Res. 45, 437–454. doi: 10.1007/s11064-019-02935-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, W., Chen, Y., Meng, J., Wu, M., Bi, F., Chang, C., et al. (2018). Ablation of caspase-1 protects against TBI-induced pyroptosis in vitro and in vivo. J. Neuroinflam. 15:48.

Google Scholar

Liu, X., Zhang, Z., Ruan, J., Pan, Y., Magupalli, V. G., Wu, H., et al. (2016). Inflammasome-activated gasdermin D causes pyroptosis by forming membrane pores. Nature 535, 153–158. doi: 10.1038/nature18629

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., and Levine, B. (2015). Autosis and autophagic cell death: the dark side of autophagy. Cell Death Differ. 22, 367–376. doi: 10.1038/cdd.2014.143

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Shoji-Kawata, S., Sumpter, R. M., Wei, Y., Ginet, V., Zhang, L., et al. (2013). Autosis is a Na+,K+-ATPase-regulated form of cell death triggered by autophagy-inducing peptides, starvation, and hypoxia-ischemia. Proc. Natl. Acad. Sci. U.S.A. 110, 20364–20371. doi: 10.1073/pnas.1319661110

PubMed Abstract | CrossRef Full Text | Google Scholar

Lockshin, R. A., and Williams, C. M. (1964). Programmed cell death—II. Endocrine potentiation of the breakdown of the intersegmental muscles of silkmoths. J. Insect. Physiol. 10, 643–649. doi: 10.1016/0022-1910(64)90034-4

CrossRef Full Text | Google Scholar

Lockshin, R. A., and Williams, C. M. (1965). Programmed Cell Death–I. Cytology of degeneration in the intersegmental muscles of the pernyi silkmoth. J. Insect. Physiol. 11, 123–133. doi: 10.1016/0022-1910(65)90099-5

CrossRef Full Text | Google Scholar

Lopez, A., Fleming, A., and Rubinsztein, D. C. (2018). Seeing is believing: methods to monitor vertebrate autophagy in vivo. Open Biol. 8:180106. doi: 10.1098/rsob.180106

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, A. Y., Turban, J. L., Damisah, E. C., Li, J., Alomari, A. K., Eid, T., et al. (2017). Novel biomarker identification using metabolomic profiling to differentiate radiation necrosis and recurrent tumor following Gamma Knife radiosurgery. J. Neurosurg. 127, 388–396. doi: 10.3171/2016.8.jns161395

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, F., Lan, Z., Xin, Z., He, C., Guo, Z., Xia, X., et al. (2020). Emerging insights into molecular mechanisms underlying pyroptosis and functions of inflammasomes in diseases. J. Cell Physiol. 235, 3207–3221. doi: 10.1002/jcp.29268

PubMed Abstract | CrossRef Full Text | Google Scholar

Luchini, C., Veronese, N., Yachida, S., Cheng, L., Nottegar, A., Stubbs, B., et al. (2016). Different prognostic roles of tumor suppressor gene BAP1 in cancer: a systematic review with meta-analysis. Genes Chromosom. Cancer 55, 741–749. doi: 10.1002/gcc.22381

PubMed Abstract | CrossRef Full Text | Google Scholar

Luo, M., Wu, L., Zhang, K., Wang, H., Zhang, T., Gutierrez, L., et al. (2018). miR-137 regulates ferroptosis by targeting glutamine transporter SLC1A5 in melanoma. Cell Death Differ. 25, 1457–1472. doi: 10.1038/s41418-017-0053-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Luo, X., Budihardjo, I., Zou, H., Slaughter, C., and Wang, X. (1998). Bid, a Bcl2 interacting protein, mediates cytochrome c release from mitochondria in response to activation of cell surface death receptors. Cell 94, 481–490. doi: 10.1016/s0092-8674(00)81589-5

CrossRef Full Text | Google Scholar

Majtnerová, P., and Roušar, T. (2018). An overview of apoptosis assays detecting DNA fragmentation. Mol. Biol. Rep. 45, 1469–1478. doi: 10.1007/s11033-018-4258-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Malhotra, S., Costa, C., Eixarch, H., Keller, C. W., Amman, L., Martínez-Banaclocha, H., et al. (2020). NLRP3 inflammasome as prognostic factor and therapeutic target in primary progressive multiple sclerosis patients. Brain 143, 1414–1430. doi: 10.1093/brain/awaa084

PubMed Abstract | CrossRef Full Text | Google Scholar

Martin, R. M., Leonhardt, H., and Cardoso, M. C. (2005). DNA labeling in living cells. Cytom. A 67, 45–52. doi: 10.1002/cyto.a.20172

PubMed Abstract | CrossRef Full Text | Google Scholar

Martinez, A. M., Kim, A., and Yang, W. S. (2020). Detection of ferroptosis by BODIPY 581/591 C11. Methods Mol. Biol. 2108, 125–130. doi: 10.1007/978-1-0716-0247-8_11

CrossRef Full Text | Google Scholar

Martinez, J., Almendinger, J., Oberst, A., Ness, R., Dillon, C. P., Fitzgerald, P., et al. (2011). Microtubule-associated protein 1 light chain 3 alpha (LC3)-associated phagocytosis is required for the efficient clearance of dead cells. Proc. Natl. Acad. Sci. U.S.A. 108, 17396–17401. doi: 10.1073/pnas.1113421108

PubMed Abstract | CrossRef Full Text | Google Scholar

Martinez, J., Cunha, L. D., Park, S., Yang, M., Lu, Q., Orchard, R., et al. (2016). Noncanonical autophagy inhibits the autoinflammatory, lupus-like response to dying cells. Nature 533, 115–119. doi: 10.1038/nature17950

PubMed Abstract | CrossRef Full Text | Google Scholar

Martinez, J., Malireddi, R. K., Lu, Q., Cunha, L. D., Pelletier, S., Gingras, S., et al. (2015). Molecular characterization of LC3-associated phagocytosis reveals distinct roles for Rubicon, NOX2 and autophagy proteins. Nat. Cell Biol. 17, 893–906. doi: 10.1038/ncb3192

PubMed Abstract | CrossRef Full Text | Google Scholar

Marzella, L., Ahlberg, J., and Glaumann, H. (1980). In vitro uptake of particles by lysosomes. Exp. Cell Res. 129, 460–466. doi: 10.1016/0014-4827(80)90515-7

CrossRef Full Text | Google Scholar

Marzella, L., Ahlberg, J., and Glaumann, H. (1981). Autophagy, heterophagy, microautophagy and crinophagy as the means for intracellular degradation. Virchows Arch. B Cell Pathol. Incl. Mol. Pathol. 36, 219–234. doi: 10.1007/bf02912068

PubMed Abstract | CrossRef Full Text | Google Scholar

Massey, A., Kiffin, R., and Cuervo, A. M. (2004). Pathophysiology of chaperone-mediated autophagy. Int. J. Biochem. Cell Biol. 36, 2420–2434. doi: 10.1016/j.biocel.2004.04.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Mayer, C. T., Gazumyan, A., Kara, E. E., Gitlin, A. D., Golijanin, J., Viant, C., et al. (2017). The microanatomic segregation of selection by apoptosis in the germinal center. Science 358:eaao2602. doi: 10.1126/science.aao2602

PubMed Abstract | CrossRef Full Text | Google Scholar

McArthur, K., Whitehead, L. W., Heddleston, J. M., Li, L., Padman, B. S., Oorschot, V., et al. (2018). BAK/BAX macropores facilitate mitochondrial herniation and mtDNA efflux during apoptosis. Science 359:eaao6047. doi: 10.1126/science.aao6047

PubMed Abstract | CrossRef Full Text | Google Scholar

McQuade, T., Cho, Y., and Chan, F. K. (2013). Positive and negative phosphorylation regulates RIP1- and RIP3-induced programmed necrosis. Biochem. J. 456, 409–415. doi: 10.1042/bj20130860

PubMed Abstract | CrossRef Full Text | Google Scholar

Mesa, K. R., Rompolas, P., Zito, G., Myung, P., Sun, T. Y., Brown, S., et al. (2015). Niche-induced cell death and epithelial phagocytosis regulate hair follicle stem cell pool. Nature 522, 94–97. doi: 10.1038/nature14306

PubMed Abstract | CrossRef Full Text | Google Scholar

Mete, O., Gucer, H., Kefeli, M., and Asa, S. L. (2018). Diagnostic and prognostic biomarkers of adrenal cortical carcinoma. Am. J. Surg. Pathol. 42, 201–213. doi: 10.1097/pas.0000000000000943

PubMed Abstract | CrossRef Full Text | Google Scholar

Mfotie Njoya, E., Eloff, J. N., and McGaw, L. J. (2018). Croton gratissimus leaf extracts inhibit cancer cell growth by inducing caspase 3/7 activation with additional anti-inflammatory and antioxidant activities. BMC Complem. Altern. Med. 18:305. doi: 10.1186/s12906-018-2372-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Micoud, F., Mandrand, B., and Malcus-Vocanson, C. (2001). Comparison of several techniques for the detection of apoptotic astrocytes in vitro. Cell Prolif. 34, 99–113. doi: 10.1046/j.1365-2184.2001.00201.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Mihaljevic, O., Zivancevic-Simonovic, S., Milosevic-Djordjevic, O., Djurdjevic, P., Jovanovic, D., Todorovic, Z., et al. (2018). Apoptosis and genome instability in children with autoimmune diseases. Mutagenesis 33, 351–357. doi: 10.1093/mutage/gey037

PubMed Abstract | CrossRef Full Text | Google Scholar

Mijaljica, D., Prescott, M., and Devenish, R. J. (2011). Microautophagy in mammalian cells: revisiting a 40-year-old conundrum. Autophagy 7, 673–682. doi: 10.4161/auto.7.7.14733

PubMed Abstract | CrossRef Full Text | Google Scholar

Mijatovic, T., Dufrasne, F., and Kiss, R. (2012). Na+/K+-ATPase and cancer. Pharm. Pat. Anal. 1, 91–106.

Google Scholar

Mizushima, N., and Komatsu, M. (2011). Autophagy: renovation of cells and tissues. Cell 147, 728–741. doi: 10.1016/j.cell.2011.10.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Moledina, D. G., Wilson, F. P., Pober, J. S., Perazella, M. A., Singh, N., Luciano, R. L., et al. (2019). Urine TNF-α and IL-9 for clinical diagnosis of acute interstitial nephritis. JCI Insight. 4:e127456.

Google Scholar

Moriwaki, K., and Chan, F. K. (2014). Necrosis-dependent and independent signaling of the RIP kinases in inflammation. Cytokine Growth Fact. Rev. 25, 167–174. doi: 10.1016/j.cytogfr.2013.12.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Murata, K., and Wolf, M. (2018). Cryo-electron microscopy for structural analysis of dynamic biological macromolecules. Biochim. Biophys. Acta Gen. Subj. 1862, 324–334. doi: 10.1016/j.bbagen.2017.07.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Murugan, S., and Amaravadi, R. K. (2016). Methods for studying autophagy within the tumor microenvironment. Adv. Exp. Med. Biol. 899, 145–166. doi: 10.1007/978-3-319-26666-4_9

CrossRef Full Text | Google Scholar

Musumeci, G., Castrogiovanni, P., Trovato, F. M., Weinberg, A. M., Al-Wasiyah, M. K., Alqahtani, M. H., et al. (2015). Biomarkers of chondrocyte apoptosis and autophagy in osteoarthritis. Int. J. Mol. Sci. 16, 20560–20575. doi: 10.3390/ijms160920560

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakazawa, D., Tomaru, U., Suzuki, A., Masuda, S., Hasegawa, R., Kobayashi, T., et al. (2012). Abnormal conformation and impaired degradation of propylthiouracil-induced neutrophil extracellular traps: implications of disordered neutrophil extracellular traps in a rat model of myeloperoxidase antineutrophil cytoplasmic antibody-associated vasculitis. Arthrit. Rheum. 64, 3779–3787. doi: 10.1002/art.34619

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, Q. D., Challapalli, A., Smith, G., Fortt, R., and Aboagye, E. O. (2012). Imaging apoptosis with positron emission tomography: ‘bench to bedside’ development of the caspase-3/7 specific radiotracer [(18)F]ICMT-11. Eur. J. Cancer 48, 432–440. doi: 10.1016/j.ejca.2011.11.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Nicholson, D. W., Ali, A., Thornberry, N. A., Vaillancourt, J. P., Ding, C. K., Gallant, M., et al. (1995). Identification and inhibition of the ICE/CED-3 protease necessary for mammalian apoptosis. Nature 376, 37–43. doi: 10.1038/376037a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Nooshabadi, V. T., Khanmohammadi, M., Shafei, S., Banafshe, H. R., Malekshahi, Z. V., Ebrahimi-Barough, S., et al. (2020). Impact of atorvastatin loaded exosome as an anti-glioblastoma carrier to induce apoptosis of U87 cancer cells in 3D culture model. Biochem. Biophys. Rep. 23:100792. doi: 10.1016/j.bbrep.2020.100792

PubMed Abstract | CrossRef Full Text | Google Scholar

Ohsumi, Y. (2014). Historical landmarks of autophagy research. Cell Res. 24, 9–23. doi: 10.1038/cr.2013.169

PubMed Abstract | CrossRef Full Text | Google Scholar

Omori, K., Mitsuhashi, M., Ishiyama, K., Nair, I., Rawson, J., Todorov, I., et al. (2011). mRNA of the pro-apoptotic gene BBC3 serves as a molecular marker for TNF-α-induced islet damage in humans. Diabetologia 54, 2056–2066. doi: 10.1007/s00125-011-2183-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Opferman, J. T. (2008). Apoptosis in the development of the immune system. Cell Death Differ. 15, 234–242. doi: 10.1038/sj.cdd.4402182

PubMed Abstract | CrossRef Full Text | Google Scholar

Orhon, I., and Reggiori, F. (2017). Assays to monitor autophagy progression in cell cultures. Cells 6:20. doi: 10.3390/cells6030020

PubMed Abstract | CrossRef Full Text | Google Scholar

Otto, F. B., and Thumm, M. (2020). Mechanistic dissection of macro- and micronucleophagy. Autophagy 2020, 1–14. doi: 10.1080/15548627.2020.1725402

PubMed Abstract | CrossRef Full Text | Google Scholar

Paludan, S. R., Reinert, L. S., and Hornung, V. (2019). DNA-stimulated cell death: implications for host defence, inflammatory diseases and cancer. Nat. Rev. Immunol. 19, 141–153. doi: 10.1038/s41577-018-0117-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Paredes-Gamero, E. J., Martins, M. N., Cappabianco, F. A., Ide, J. S., and Miranda, A. (2012). Characterization of dual effects induced by antimicrobial peptides: regulated cell death or membrane disruption. Biochim. Biophys. Acta 1820, 1062–1072. doi: 10.1016/j.bbagen.2012.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, J. S., Svetkauskaite, D., He, Q., Kim, J. Y., Strassheim, D., Ishizaka, A., et al. (2004). Involvement of toll-like receptors 2 and 4 in cellular activation by high mobility group box 1 protein. J. Biol. Chem. 279, 7370–7377. doi: 10.1074/jbc.m306793200

PubMed Abstract | CrossRef Full Text | Google Scholar

Parzych, K. R., and Klionsky, D. J. (2014). An overview of autophagy: morphology, mechanism, and regulation. Antioxid. Redox Signal. 20, 460–473. doi: 10.1089/ars.2013.5371

PubMed Abstract | CrossRef Full Text | Google Scholar

Pastuhov, S. I., Fujiki, K., Tsuge, A., Asai, K., Ishikawa, S., Hirose, K., et al. (2016). The core molecular machinery used for engulfment of apoptotic cells regulates the JNK pathway mediating axon regeneration in caenorhabditis elegans. J. Neurosci. 36, 9710–9721. doi: 10.1523/jneurosci.0453-16.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Patel, B., and Cuervo, A. M. (2015). Methods to study chaperone-mediated autophagy. Methods 75, 133–140. doi: 10.1016/j.ymeth.2015.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Paunovic, V. I, Petrovic, V., Milenkovic, M., Janjetovic, K., Pravica, V., Dujmovic, I., et al. (2018). Autophagy-independent increase of ATG5 expression in T cells of multiple sclerosis patients. J. Neuroimmunol. 319, 100–105. doi: 10.1016/j.jneuroim.2018.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Pavlyukov, M. S., Yu, H., Bastola, S., Minata, M., Shender, V. O., Lee, Y., et al. (2018). Apoptotic Cell-derived extracellular vesicles promote malignancy of glioblastoma via intercellular transfer of splicing factors. Cancer Cell 34, 119–135.e10.

Google Scholar

Pugsley, H. R. (2017). Quantifying autophagy: measuring LC3 puncta and autolysosome formation in cells using multispectral imaging flow cytometry. Methods 112, 147–156. doi: 10.1016/j.ymeth.2016.05.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Qin, B., Zhang, Q., Hu, X. M., Mi, T. Y., Yu, H. Y., Liu, S. S., et al. (2020). How does temperature play a role in the storage of extracellular vesicles? J. Cell Physiol. 235, 7663–7680. doi: 10.1002/jcp.29700

PubMed Abstract | CrossRef Full Text | Google Scholar

Rahbar Saadat, Y., Saeidi, N., Vahed, S. Z., Barzegari, A., and Barar, J. (2015). An update to DNA ladder assay for apoptosis detection. Bioimpacts 5, 25–28. doi: 10.15171/bi.2015.01

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramirez, M. L. G., and Salvesen, G. S. (2018). A primer on caspase mechanisms. Semin. Cell Dev. Biol. 82, 79–85. doi: 10.1016/j.semcdb.2018.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Remijsen, Q., Kuijpers, T. W., Wirawan, E., Lippens, S., Vandenabeele, P., and Vanden Berghe, T. (2011). Dying for a cause: NETosis, mechanisms behind an antimicrobial cell death modality. Cell Death Differ. 18, 581–588. doi: 10.1038/cdd.2011.1

PubMed Abstract | CrossRef Full Text | Google Scholar

Riccardi, C., and Nicoletti, I. (2006). Analysis of apoptosis by propidium iodide staining and flow cytometry. Nat. Protoc. 1, 1458–1461. doi: 10.1038/nprot.2006.238

PubMed Abstract | CrossRef Full Text | Google Scholar

Rickard, J. A., O’Donnell, J. A., Evans, J. M., Lalaoui, N., Poh, A. R., Rogers, T., et al. (2014). RIPK1 regulates RIPK3-MLKL-driven systemic inflammation and emergency hematopoiesis. Cell 157, 1175–1188. doi: 10.1016/j.cell.2014.04.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodriguez, D. A., and Green, D. R. (2018). Generation and use of chimeric RIP kinase molecules to study necroptosis. Methods Mol. Biol. 187, 71–83. doi: 10.1007/978-1-4939-8754-2_7

CrossRef Full Text | Google Scholar

Rogoza, R. M., Fairfax, D. F., Henry, P., Merlin, N., Khan, R. F., Gupta, S. K., et al. (2004). Electron spin resonance spectroscopy reveals alpha-phenyl-N-tert-butylnitrone spin-traps free radicals in rat striatum and prevents haloperidol-induced vacuous chewing movements in the rat model of human tardive dyskinesia. Synapse 54, 156–163. doi: 10.1002/syn.20078

PubMed Abstract | CrossRef Full Text | Google Scholar

Roth, C., Pantel, K., Muller, V., Rack, B., Kasimir-Bauer, S., Janni, W., et al. (2011). Apoptosis-related deregulation of proteolytic activities and high serum levels of circulating nucleosomes and DNA in blood correlate with breast cancer progression. BMC Cancer 11:4. doi: 10.1186/1471-2407-11-4

CrossRef Full Text | Google Scholar

Russo, H. M., Rathkey, J., Boyd-Tressler, A., Katsnelson, M. A., Abbott, D. W., and Dubyak, G. R. (2016). Active Caspase-1 induces plasma membrane pores that precede pyroptotic lysis and are blocked by lanthanides. J. Immunol. 197, 1353–1367. doi: 10.4049/jimmunol.1600699

PubMed Abstract | CrossRef Full Text | Google Scholar

Saha, S. K., Islam, S. M. R., Abdullah-Al-Wadud, M., Islam, S., Ali, F., and Park, K. S. (2019). Multiomics analysis reveals that GLS and GLS2 differentially modulate the clinical outcomes of cancer. J. Clin. Med. 8:355. doi: 10.3390/jcm8030355

PubMed Abstract | CrossRef Full Text | Google Scholar

Saif, R., Awan, A. R., Lyons, L., Gandolfi, B., Tayyab, M., Ellahi Babar, M., et al. (2016). Hspb1 and Tp53 mutation and expression analysis in cat mammary tumors. Iran J. Biotechnol. 14, 202–212. doi: 10.15171/ijb.1480

PubMed Abstract | CrossRef Full Text | Google Scholar

Saraste, A., and Pulkki, K. (2000). Morphologic and biochemical hallmarks of apoptosis. Cardiovasc. Res. 45, 528–537. doi: 10.1016/s0008-6363(99)00384-3

CrossRef Full Text | Google Scholar

Sato, M., Seki, T., Konno, A., Hirai, H., Kurauchi, Y., Hisatsune, A., et al. (2019). Rapamycin activates mammalian microautophagy. J. Pharmacol. Sci. 140, 201–204. doi: 10.1016/j.jphs.2019.05.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Sborgi, L., Ruhl, S., Mulvihill, E., Pipercevic, J., Heilig, R., Stahlberg, H., et al. (2016). GSDMD membrane pore formation constitutes the mechanism of pyroptotic cell death. EMBO J. 35, 1766–1778. doi: 10.15252/embj.201694696

PubMed Abstract | CrossRef Full Text | Google Scholar

Scaffidi, P., Misteli, T., and Bianchi, M. E. (2002). Release of chromatin protein HMGB1 by necrotic cells triggers inflammation. Nature 418, 191–195. doi: 10.1038/nature00858

PubMed Abstract | CrossRef Full Text | Google Scholar

Schiffmann, L. M., Göbel, H., Löser, H., Schorn, F., Werthenbach, J. P., Fuchs, H. F., et al. (2019). Elevated X-linked inhibitor of apoptosis protein (XIAP) expression uncovers detrimental prognosis in subgroups of neoadjuvant treated and T-cell rich esophageal adenocarcinoma. BMC Cancer 19:531. doi: 10.1186/s12885-019-5722-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Schläfli, A. M., Adams, O., Galván, J. A., Gugger, M., Savic, S., Bubendorf, L., et al. (2016). Prognostic value of the autophagy markers LC3 and p62/SQSTM1 in early-stage non-small cell lung cancer. Oncotarget 7, 39544–39555. doi: 10.18632/oncotarget.9647

PubMed Abstract | CrossRef Full Text | Google Scholar

Schneider, K. S., Groß, C. J., Dreier, R. F., Saller, B. S., Mishra, R., Gorka, O., et al. (2017). The inflammasome drives GSDMD-independent secondary pyroptosis and il-1 release in the absence of Caspase-1 protease activity. Cell Rep. 21, 3846–3859. doi: 10.1016/j.celrep.2017.12.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Seglen, P. O., Luhr, M. I., Mills, G., Saetre, F., Szalai, P., and Engedal, N. (2015). Macroautophagic cargo sequestration assays. Methods 75, 25–36. doi: 10.1016/j.ymeth.2014.12.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Semple, J. W., Italiano, J. E., and Freedman, J. (2011). Platelets and the immune continuum. Nat. Rev. Immunol. 11, 264–274. doi: 10.1038/nri2956

PubMed Abstract | CrossRef Full Text | Google Scholar

Sen, F., Yildiz, I., Odabas, H., Tambas, M., Kilic, L., Karadeniz, A., et al. (2015). Diagnostic value of serum M30 and M65 in patients with nasopharyngeal carcinoma. Tumour Biol. 36, 1039–1044. doi: 10.1007/s13277-014-2708-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Sentelle, R. D., Senkal, C. E., Jiang, W., Ponnusamy, S., Gencer, S., Selvam, S. P., et al. (2012). Ceramide targets autophagosomes to mitochondria and induces lethal mitophagy. Nat. Chem. Biol. 8, 831–838. doi: 10.1038/nchembio.1059

PubMed Abstract | CrossRef Full Text | Google Scholar

Shaner, N. C., Campbell, R. E., Steinbach, P. A., Giepmans, B. N., Palmer, A. E., and Tsien, R. Y. (2004). Improved monomeric red, orange and yellow fluorescent proteins derived from Discosoma sp. red fluorescent protein. Nat. Biotechnol. 22, 1567–1572. doi: 10.1038/nbt1037

PubMed Abstract | CrossRef Full Text | Google Scholar

Shang, L., Ding, W., Li, N., Liao, L., Chen, D., Huang, J., et al. (2017). The effects and regulatory mechanism of RIP3 on RGC-5 necroptosis following elevated hydrostatic pressure. Acta Biochim. Biophys. Sin. 49, 128–137.

Google Scholar

Shang, L., Huang, J. F., Ding, W., Chen, S., Xue, L. X., Ma, R. F., et al. (2014). Calpain: a molecule to induce AIF-mediated necroptosis in RGC-5 following elevated hydrostatic pressure. BMC Neurosci. 15:63. doi: 10.1186/1471-2202-15-63

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, J., Zhao, Y., Wang, K., Shi, X., Wang, Y., Huang, H., et al. (2015). Cleavage of GSDMD by inflammatory caspases determines pyroptotic cell death. Nature 526, 660–665. doi: 10.1038/nature15514

PubMed Abstract | CrossRef Full Text | Google Scholar

Shukuya, T., Ghai, V., Amann, J. M., Okimoto, T., Shilo, K., Kim, T. K., et al. (2020). Circulating micrornas and extracellular vesicle-containing MicroRNAs as response biomarkers of anti-programmed cell death protein 1 or programmed death-ligand 1 therapy in NSCLC. J. Thorac. Oncol. 15, 1773–1781. doi: 10.1016/j.jtho.2020.05.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Sil, P., Suwanpradid, J., Muse, G., Gruzdev, A., Liu, L., Corcoran, D. L., et al. (2020). Noncanonical autophagy in dermal dendritic cells mediates immunosuppressive effects of UV exposure. J. Allergy Clin. Immunol. 145, 1389–1405. doi: 10.1016/j.jaci.2019.11.041

PubMed Abstract | CrossRef Full Text | Google Scholar

Smyth, S. S., McEver, R. P., Weyrich, A. S., Morrell, C. N., Hoffman, M. R., Arepally, G. M., et al. (2009). Platelet functions beyond hemostasis. J. Thromb. Haemost 7, 1759–1766. doi: 10.1111/j.1538-7836.2009.03586.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Soleymani Fard, S., Sotoudeh, M., Yazdanbod, M., Ghavamzadeh, A., Malekzadeh, R., Yaghmaie, M., et al. (2019). Evaluation of the association between androgen receptor and AURKA and its prognostic value in gastric cancer. Int. J. Hematol. Oncol. Stem Cell Res. 13, 174–182.

Google Scholar

Sotgia, F., Fiorillo, M., and Lisanti, M. P. (2017). Mitochondrial markers predict recurrence, metastasis and tamoxifen-resistance in breast cancer patients: early detection of treatment failure with companion diagnostics. Oncotarget 8, 68730–68745. doi: 10.18632/oncotarget.19612

PubMed Abstract | CrossRef Full Text | Google Scholar

Sui, X., Li, Y., Sun, Y., Li, C., Li, X., and Zhang, G. (2018). Expression and significance of autophagy genes LC3, Beclin1 and MMP-2 in endometriosis. Exp. Ther. Med. 16, 1958–1962.

Google Scholar

Sun, C., Muller, E., Meffert, M., and Gerthsen, D. (2018). On the progress of Scanning Transmission Electron Microscopy (STEM) imaging in a scanning electron microscope. Microsc. Microanal. 24, 99–106. doi: 10.1017/s1431927618000181

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, W., Yu, W., Shen, L., and Huang, T. (2019). MLKL is a potential prognostic marker in gastric cancer. Oncol. Lett. 18, 3830–3836.

Google Scholar

Sun, X. J., and Xu, G. L. (2017). Overexpression of Acyl-CoA Ligase 4 (ACSL4) in patients with hepatocellular carcinoma and its prognosis. Med. Sci. Monit. 23, 4343–4350. doi: 10.12659/msm.906639

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, Y., Chen, P., Zhai, B., Zhang, M., Xiang, Y., Fang, J., et al. (2020). The emerging role of ferroptosis in inflammation. Biomed. Pharmacother. 127:110108. doi: 10.1016/j.biopha.2020.110108

PubMed Abstract | CrossRef Full Text | Google Scholar

Takeshige, K., Baba, M., Tsuboi, S., Noda, T., and Ohsumi, Y. (1992). Autophagy in yeast demonstrated with proteinase-deficient mutants and conditions for its induction. J. Cell Biol. 119, 301–311. doi: 10.1083/jcb.119.2.301

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, J. M. J., Mellouk, N., and Brumell, J. H. (2019). An autophagy-independent role for ATG16L1: promoting lysosome-mediated plasma membrane repair. Autophagy 15, 932–933. doi: 10.1080/15548627.2019.1586261

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, D., Kang, R., Berghe, T. V., Vandenabeele, P., and Kroemer, G. (2019). The molecular machinery of regulated cell death. Cell Res. 29, 347–364. doi: 10.1038/s41422-019-0164-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, D., and Kroemer, G. (2020). Ferroptosis. Curr. Biol. 30, R1292–R1297.

Google Scholar

Tao, P., Yang, B., Zhang, H., Sun, L., Wang, Y., and Zheng, W. (2020). The overexpression of lncRNA MEG3 inhibits cell viability and invasion and promotes apoptosis in ovarian cancer by sponging miR-205-5p. Int. J. Clin. Exp. Pathol. 13, 869–879.

Google Scholar

Terlizzi, M., Colarusso, C., De Rosa, I., De Rosa, N., Somma, P., Curcio, C., et al. (2018). Correction: circulating and tumor-associated caspase-4: a novel diagnostic and prognostic biomarker for non-small cell lung cancer. Oncotarget 9:29537. doi: 10.18632/oncotarget.25751

PubMed Abstract | CrossRef Full Text | Google Scholar

Thakur, S., Cattoni, D. I., and Nollmann, M. (2015). The fluorescence properties and binding mechanism of SYTOX green, a bright, low photo-damage DNA intercalating agent. Eur. Biophys. J. 44, 337–348. doi: 10.1007/s00249-015-1027-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Thygesen, K., Alpert, J. S., White, H. D., and Task Force Members (2007). Universal definition of myocardial infarction. Eur. Heart J. 28, 2525–2538.

Google Scholar

Tian, J., Shi, R., Xiao, P., Liu, T., She, R., Wu, Q., et al. (2019). Hepatitis E virus induces brain injury probably associated with mitochondrial apoptosis. Front. Cell Infect. Microbiol. 9:433. doi: 10.3389/fcimb.2019.00433

PubMed Abstract | CrossRef Full Text | Google Scholar

Tonnus, W., Meyer, C., Paliege, A., Belavgeni, A., von Mässenhausen, A., Bornstein, S. R., et al. (2019). The pathological features of regulated necrosis. J. Pathol. 247, 697–707. doi: 10.1002/path.5248

PubMed Abstract | CrossRef Full Text | Google Scholar

Trump, B. F. I, Berezesky, K., Chang, S. H., and Phelps, P. C. (1997). The pathways of cell death: oncosis, apoptosis, and necrosis. Toxicol. Pathol. 25, 82–88. doi: 10.1177/019262339702500116

PubMed Abstract | CrossRef Full Text | Google Scholar

Uchida, K., Szweda, L. I., Chae, H. Z., and Stadtman, E. R. (1993). Immunochemical detection of 4-hydroxynonenal protein adducts in oxidized hepatocytes. Proc. Natl. Acad. Sci. U.S.A. 90, 8742–8746. doi: 10.1073/pnas.90.18.8742

PubMed Abstract | CrossRef Full Text | Google Scholar

Ulz, P., Thallinger, G. G., Auer, M., Graf, R., Kashofer, K., Jahn, S. W., et al. (2016). Inferring expressed genes by whole-genome sequencing of plasma DNA. Nat. Genet. 48, 1273–1278. doi: 10.1038/ng.3648

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Opdenbosch, N., and Lamkanfi, M. (2019). Caspases in cell death. Inflamm. Dis. Immun. 50, 1352–1364.

Google Scholar

Vanden Berghe, T., Grootjans, S., Goossens, V., Dondelinger, Y., Krysko, D. V., Takahashi, N., et al. (2013). Determination of apoptotic and necrotic cell death in vitro and in vivo. Methods 61, 117–129. doi: 10.1016/j.ymeth.2013.02.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Vercammen, D., Brouckaert, G., Denecker, G., Van de Craen, M., Declercq, W., Fiers, W., et al. (1998). Dual signaling of the Fas receptor: initiation of both apoptotic and necrotic cell death pathways. J. Exp. Med. 188, 919–930. doi: 10.1084/jem.188.5.919

PubMed Abstract | CrossRef Full Text | Google Scholar

Vermes, I., Haanen, C., Steffens-Nakken, H., and Reutelingsperger, C. (1995). A novel assay for apoptosis. Flow cytometric detection of phosphatidylserine expression on early apoptotic cells using fluorescein labelled Annexin V. J. Immunol. Methods 184, 39–51. doi: 10.1016/0022-1759(95)00072-i

CrossRef Full Text | Google Scholar

Vorobjeva, N. V., and Chernyak, B. V. (2020). NETosis: molecular mechanisms, role in physiology and pathology. Biochemistry 85, 1178–1190. doi: 10.1134/s0006297920100065

PubMed Abstract | CrossRef Full Text | Google Scholar

Wada, S., Noguchi, T., Takeno, S., and Kawahara, K. (2006). PIK3CA and TFRC located in 3q are new prognostic factors in esophageal squamous cell carcinoma. Ann. Surg. Oncol. 13, 961–966. doi: 10.1245/aso.2006.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Walker, P. R., Leblanc, J., Smith, B., Pandey, S., and Sikorska, M. (1999). Detection of DNA fragmentation and endonucleases in apoptosis. Methods 17, 329–338. doi: 10.1006/meth.1999.0747

PubMed Abstract | CrossRef Full Text | Google Scholar

Wallach, D., Kang, T. B., Yang, S. H., and Kovalenko, A. (2014). The in vivo significance of necroptosis: lessons from exploration of caspase-8 function. Cytokine Growth Fact. Rev. 25, 157–165. doi: 10.1016/j.cytogfr.2013.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Wallberg, F., Tenev, T., and Meier, P. (2016a). Analysis of apoptosis and necroptosis by fluorescence-activated cell sorting. Cold Spring Harb. Protoc. 2016:pdb.prot087387. doi: 10.1101/pdb.prot087387

PubMed Abstract | CrossRef Full Text | Google Scholar

Wallberg, F., Tenev, T., and Meier, P. (2016b). Time-lapse imaging of cell death. Cold Spring Harb. Protoc. 2016:pdb.prot087395.

Google Scholar

Wang, H., An, P., Xie, E., Wu, Q., Fang, X., Gao, H., et al. (2017). Characterization of ferroptosis in murine models of hemochromatosis. Hepatology 66, 449–465. doi: 10.1002/hep.29117

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, P., Liang, J., Wang, Z., Hou, H., Shi, L., and Zhou, Z. (2017). The prognostic value of p53 positive in colorectal cancer: a retrospective cohort study. Tumour Biol. 39:1010428317703651.

Google Scholar

Wang, S., Liao, L., Wang, M., Zhou, H., Huang, Y., Wang, Z., et al. (2017). Pin1 promotes regulated necrosis induced by glutamate in rat retinal neurons via CAST/Calpain2 pathway. Front. Cell Neurosci. 11:425. doi: 10.3389/fncel.2017.00425

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Hu, M., Wang, J., Qi, J., Han, Z., Wang, G., et al. (2019a). Reconstitution and structure of a plant NLR resistosome conferring immunity. Science 364:eaav5870. doi: 10.1126/science.aav5870

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, M., Mao, C., Ouyang, L., Liu, Y., Lai, W., Liu, N., et al. (2019b). Long noncoding RNA LINC00336 inhibits ferroptosis in lung cancer by functioning as a competing endogenous RNA. Cell Death Differ. 26, 2329–2343. doi: 10.1038/s41418-019-0304-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, S., Huang, Y., Yan, Y., Zhou, H., Wang, M., Liao, L., et al. (2019c). Calpain2 but not calpain1 mediated by calpastatin following glutamate-induced regulated necrosis in rat retinal neurons. Ann. Anat. 221, 57–67. doi: 10.1016/j.aanat.2018.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, S., Liao, L., Huang, Y., Wang, M., Zhou, H., Chen, D., et al. (2019d). Pin1 is regulated by CaMKII activation in glutamate-induced retinal neuronal regulated necrosis. Front. Cell Neurosci. 13:276. doi: 10.3389/fncel.2019.00276

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y. Y., Liu, X. L., and Zhao, R. (2019e). Induction of pyroptosis and its implications in cancer management. Front. Oncol. 9:971. doi: 10.3389/fonc.2019.00971

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J. X., Gao, J., Ding, S. L., Wang, K., Jiao, J. Q., Wang, Y., et al. (2015). Oxidative modification of miR-184 enables it to target Bcl-xL and Bcl-w. Mol. Cell 59, 50–61. doi: 10.1016/j.molcel.2015.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, M., Mao, C., Ouyang, L., Liu, Y., Lai, W., Liu, N., et al. (2020a). Correction to: long noncoding RNA LINC00336 inhibits ferroptosis in lung cancer by functioning as a competing endogenous RNA. Cell Death Differ. 27:1447. doi: 10.1038/s41418-019-0394-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, M., Wan, H., Wang, S., Liao, L., Huang, Y., Guo, L., et al. (2020b). RSK3 mediates necroptosis by regulating phosphorylation of RIP3 in rat retinal ganglion cells. J. Anat. 237, 29–47. doi: 10.1111/joa.13185

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, W., Lu, Y., Wang, Y., Zhang, Y., Xia, B., and Cao, J. (2020c). Siderophores induce mitophagy-dependent apoptosis in platelets. Ann. Transl. Med. 8:879. doi: 10.21037/atm-20-4861

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, S., Miura, M., Jung, Y., Zhu, H., Gagliardini, V., Shi, L., et al. (1996). Identification and characterization of Ich-3, a member of the interleukin-1beta converting enzyme (ICE)/Ced-3 family and an upstream regulator of ICE. J. Biol. Chem. 271, 20580–20587. doi: 10.1074/jbc.271.34.20580

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, S., and Wang, Y. (2013). Peptidylarginine deiminases in citrullination, gene regulation, health and pathogenesis. Biochim. Biophys. Acta 1829, 1126–1135. doi: 10.1016/j.bbagrm.2013.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y. C., Liu, Q. X., Liu, T., Xu, X. E., Gao, W., Bai, X. J., et al. (2018a). Caspase-1-dependent pyroptosis of peripheral blood mononuclear cells predicts the development of sepsis in severe trauma patients: A prospective observational study. Medicine 97:e9859. doi: 10.1097/md.0000000000009859

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Z., Guo, L. M., Wang, Y., Zhou, H. K., Wang, S. C., Chen, D., et al. (2018b). Inhibition of HSP90alpha protects cultured neurons from oxygen-glucose deprivation induced necroptosis by decreasing RIP3 expression. J. Cell Physiol. 233, 4864–4884. doi: 10.1002/jcp.26294

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Z., Guo, L. M., Zhou, H. K., Qu, H. K., Wang, S. C., Liu, F. X., et al. (2018c). Using drugs to target necroptosis: dual roles in disease therapy. Histol. Histopathol. 33, 773–789.

Google Scholar

Wȩdrychowicz, A., Tomasik, P., Zaja̧c, A., and Fyderek, K. (2018). Prognostic value of assessment of stool and serum IL-1β, IL-1ra and IL-6 concentrations in children with active and inactive ulcerative colitis. Arch. Med. Sci. 14, 107–114. doi: 10.5114/aoms.2017.68696

PubMed Abstract | CrossRef Full Text | Google Scholar

Wei, M. C., Zong, W. X., Cheng, E. H., Lindsten, T., Panoutsakopoulou, V., Ross, A. J., et al. (2001). Proapoptotic BAX and BAK: a requisite gateway to mitochondrial dysfunction and death. Science 292, 727–730. doi: 10.1126/science.1059108

PubMed Abstract | CrossRef Full Text | Google Scholar

Wenzel, S. E., Tyurina, Y. Y., Zhao, J., St Croix, C. M., Dar, H. H., Mao, G., et al. (2017). PEBP1 wardens ferroptosis by enabling lipoxygenase generation of lipid death signals. Cell 171, 628–641.e26.

Google Scholar

Wimmer, K., Sachet, M., and Oehler, R. (2020). Circulating biomarkers of cell death. Clin. Chim. Acta 500, 87–97. doi: 10.1016/j.cca.2019.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong, W. W., Vince, J. E., Lalaoui, N., Lawlor, K. E., Chau, D., Bankovacki, A., et al. (2014). cIAPs and XIAP regulate myelopoiesis through cytokine production in an RIPK1- and RIPK3-dependent manner. Blood 123, 2562–2572. doi: 10.1182/blood-2013-06-510743

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, G., Wang, Q., Xu, Y., Li, Q., and Cheng, L. (2020). A new survival model based on ferroptosis-related genes for prognostic prediction in clear cell renal cell carcinoma. Aging 12, 14933–14948. doi: 10.18632/aging.103553

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, X., Hu, X., Zhang, Q., Liu, F., and Xiong, K. (2020). Regulatory role of chinese herbal medicine in regulated neuronal death. CNS Neurol. Disord. Drug Targets 19:1. doi: 10.2174/1871527319666200730165011

CrossRef Full Text | Google Scholar

Wu, Y., Dong, G., and Sheng, C. (2020). Targeting necroptosis in anticancer therapy: mechanisms and modulators. Acta Pharm. Sin. B 10, 1601–1618. doi: 10.1016/j.apsb.2020.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, J. Z., Ardah, M., Haikal, C., Svanbergsson, A., Diepenbroek, M., Vaikath, N. N., et al. (2019). Dihydromyricetin and Salvianolic acid B inhibit alpha-synuclein aggregation and enhance chaperone-mediated autophagy. Transl. Neurodegener. 8:18.

Google Scholar

Wu, L., Prins, H. J., Helder, M. N., van Blitterswijk, C. A., and Karperien, M. (2012). Trophic effects of mesenchymal stem cells in chondrocyte co-cultures are independent of culture conditions and cell sources. Tissue Eng. Part A 18, 1542–1551. doi: 10.1089/ten.tea.2011.0715

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, X., Zhang, H., Qi, W., Zhang, Y., Li, J., Li, Z., et al. (2018). Nicotine promotes atherosclerosis via ROS-NLRP3-mediated endothelial cell pyroptosis. Cell Death Dis. 9:171.

Google Scholar

Xiong, K., Liao, H., Long, L., Ding, Y., Huang, J., and Yan, J. (2016). Necroptosis contributes to methamphetamine-induced cytotoxicity in rat cortical neurons. Toxicol. Vitro 35, 163–168. doi: 10.1016/j.tiv.2016.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, B., Jiang, M., Chu, Y., Wang, W., Chen, D., Li, X., et al. (2018). Gasdermin D plays a key role as a pyroptosis executor of non-alcoholic steatohepatitis in humans and mice. J. Hepatol. 68, 773–782. doi: 10.1016/j.jhep.2017.11.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, S., Zhao, F., Liang, Z., Feng, H., Bao, Y., Xu, W., et al. (2019). Expression of FANCD2 is associated with prognosis in patients with nasopharyngeal carcinoma. Int. J. Clin. Exp. Pathol. 12, 3465–3473.

Google Scholar

Xu, Y. F., Yi, Y., Qiu, S. J., Gao, Q., Li, Y. W., Dai, C. X., et al. (2010). PEBP1 downregulation is associated to poor prognosis in HCC related to hepatitis B infection. J. Hepatol. 53, 872–879. doi: 10.1016/j.jhep.2010.05.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Yagi, K. (1998). Simple assay for the level of total lipid peroxides in serum or plasma. Methods Mol. Biol. 108, 101–106. doi: 10.1385/0-89603-472-0:101

CrossRef Full Text | Google Scholar

Yang, D., Chen, Q., Yang, H., Tracey, K. J., Bustin, M., and Oppenheim, J. J. (2007). High mobility group box-1 protein induces the migration and activation of human dendritic cells and acts as an alarmin. J. Leukoc Biol. 81, 59–66. doi: 10.1189/jlb.0306180

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, D., He, Y., Munoz-Planillo, R., Liu, Q., and Nunez, G. (2015). Caspase-11 requires the Pannexin-1 channel and the purinergic P2X7 pore to mediate pyroptosis and endotoxic shock. Immunity 43, 923–932. doi: 10.1016/j.immuni.2015.10.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Z., Zhuang, L., Szatmary, P., Wen, L., Sun, H., Lu, Y., et al. (2015). Upregulation of heat shock proteins (HSPA12A, HSP90B1, HSPA4, HSPA5 and HSPA6) in tumour tissues is associated with poor outcomes from HBV-related early-stage hepatocellular carcinoma. Int. J. Med. Sci. 12, 256–263. doi: 10.7150/ijms.10735

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, F., Qin, Y., Wang, Y., Li, A., Lv, J., Sun, X., et al. (2018). LncRNA KCNQ1OT1 mediates pyroptosis in diabetic cardiomyopathy. Cell Physiol. Biochem. 50, 1230–1244. doi: 10.1159/000494576

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, J. W., Zhang, Q. H., and Liu, T. (2018). Autophagy facilitates anticancer effect of 5-fluorouracil in HCT-116 cells. J. Cancer Res. Ther. 14, S1141–S1147.

Google Scholar

Yang, L. L., Chen, H., Wang, J., Xia, T., Sun, H., Yuan, C. H., et al. (2019). 4-HNE induces apoptosis of human retinal pigment epithelial cells by modifying HSP70. Curr. Med. Sci. 39, 442–448. doi: 10.1007/s11596-019-2057-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Z., Liang, X., Fu, Y., Liu, Y., Zheng, L., Liu, F., et al. (2019). Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinoma. eBio Med. 47, 44–57. doi: 10.1016/j.ebiom.2019.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Yao, C., Li, G., Cai, M., Qian, Y., Wang, L., Xiao, L., et al. (2017). Expression and genetic polymorphism of necroptosis related protein RIPK1 is correlated with severe hepatic ischemia-reperfusion injury and prognosis after hepatectomy in hepatocellular carcinoma patients. Cancer Biomark. 20, 23–29. doi: 10.3233/cbm-170525

PubMed Abstract | CrossRef Full Text | Google Scholar

Yasuhara, S., Zhu, Y., Matsui, T., Tipirneni, N., Yasuhara, Y., Kaneki, M., et al. (2003). Comparison of comet assay, electron microscopy, and flow cytometry for detection of apoptosis. J. Histochem. Cytochem. 51, 873–885. doi: 10.1177/002215540305100703

PubMed Abstract | CrossRef Full Text | Google Scholar

Ye, X., Zhou, X. J., and Zhang, H. (2019). Autophagy in immune-related renal disease. J. Immunol. Res. 2019:5071687.

Google Scholar

Yorimitsu, T., and Klionsky, D. J. (2005). Autophagy: molecular machinery for self-eating. Cell Death Differ. 12(Suppl. 2), 1542–1552. doi: 10.1038/sj.cdd.4401765

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoshii, S. R., and Mizushima, N. (2017). Monitoring and measuring autophagy. Int. J. Mol. Sci. 18:1865. doi: 10.3390/ijms18091865

PubMed Abstract | CrossRef Full Text | Google Scholar

Yousefi, S., Gold, J. A., Andina, N., Lee, J. J., Kelly, A. M., Kozlowski, E., et al. (2008). Catapult-like release of mitochondrial DNA by eosinophils contributes to antibacterial defense. Nat. Med. 14, 949–953. doi: 10.1038/nm.1855

PubMed Abstract | CrossRef Full Text | Google Scholar

Yousefi, S., Mihalache, C., Kozlowski, E., Schmid, I., and Simon, H. U. (2009). Viable neutrophils release mitochondrial DNA to form neutrophil extracellular traps. Cell Death Differ. 16, 1438–1444. doi: 10.1038/cdd.2009.96

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuan, H., Li, X., Zhang, X., Kang, R., and Tang, D. (2016). Identification of ACSL4 as a biomarker and contributor of ferroptosis. Biochem. Biophys. Res. Commun. 478, 1338–1343. doi: 10.1016/j.bbrc.2016.08.124

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuan, M. M., Xu, Y. Y., Chen, L., Li, X. Y., Qin, J., and Shen, Y. (2015). TLR3 expression correlates with apoptosis, proliferation and angiogenesis in hepatocellular carcinoma and predicts prognosis. BMC Cancer 15:245. doi: 10.1186/s12885-015-1262-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Zahran, R., Ghozy, A., Elkholy, S. S., El-Taweel, F., and El-Magd, M. A. (2020). Combination therapy with melatonin, stem cells and extracellular vesicles is effective in limiting renal ischemia-reperfusion injury in a rat model. Int. J. Urol. 27, 1039–1049. doi: 10.1111/iju.14345

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeiss, C. J. (2003). The apoptosis-necrosis continuum: insights from genetically altered mice. Vet. Pathol. 40, 481–495. doi: 10.1354/vp.40-5-481

PubMed Abstract | CrossRef Full Text | Google Scholar

Zembruski, N. C., Stache, V., Haefeli, W. E., and Weiss, J. (2012). 7-Aminoactinomycin D for apoptosis staining in flow cytometry. Anal. Biochem. 429, 79–81. doi: 10.1016/j.ab.2012.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L., Huang, Y., Ling, J., Zhuo, W., Yu, Z., Luo, Y., et al. (2018). Overexpression of SLC7A11: a novel oncogene and an indicator of unfavorable prognosis for liver carcinoma. Future Oncol. 14, 927–936. doi: 10.2217/fon-2017-0540

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Liu, X., Bai, X., Lin, Y., Li, Z., Fu, J., et al. (2018). Melatonin prevents endothelial cell pyroptosis via regulation of long noncoding RNA MEG3/miR-223/NLRP3 axis. J. Pineal. Res. 64:12449.

Google Scholar

Zhang, S., Lu, X., Shu, X., Tian, X., Yang, H., Yang, W., et al. (2014). Elevated plasma cfDNA may be associated with active lupus nephritis and partially attributed to abnormal regulation of neutrophil extracellular traps (NETs) in patients with systemic lupus erythematosus. Intern. Med. 53, 2763–2771. doi: 10.2169/internalmedicine.53.2570

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, H., Ji, B., Chen, J., Huang, Q., and Lu, X. (2017). Gpx 4 is involved in the proliferation, migration and apoptosis of glioma cells. Pathol. Res. Pract. 213, 626–633. doi: 10.1016/j.prp.2017.04.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, Z., Fux, B., Goodwin, M., Dunay, I. R., Strong, D., Miller, B. C., et al. (2008). Autophagosome-independent essential function for the autophagy protein Atg5 in cellular immunity to intracellular pathogens. Cell Host Microb. 4, 458–469. doi: 10.1016/j.chom.2008.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhong, G., Long, H., Ma, S., Shunhan, Y., Li, J., and Yao, J. (2019). miRNA-335-5p relieves chondrocyte inflammation by activating autophagy in osteoarthritis. Life Sci. 226, 164–172. doi: 10.1016/j.lfs.2019.03.071

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, B. H., Tan, P. P., Jia, L. S., Zhao, W. P., Wang, J. C., and Wang, H. W. (2018). PI3K/AKT signaling pathway involvement in fluoride-induced apoptosis in C2C12?cells. Chemosphere 199, 297–302. doi: 10.1016/j.chemosphere.2018.02.057

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, L., Zhou, M., Tan, H., and Xiao, M. (2020). Cypermethrin-induced cortical neurons apoptosis via the Nrf2/ARE signaling pathway. Pestic Biochem. Physiol. 165:104547. doi: 10.1016/j.pestbp.2020.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Y., Wu, J., Fu, X., Du, W., Zhou, L., Meng, X., et al. (2014). OTUB1 promotes metastasis and serves as a marker of poor prognosis in colorectal cancer. Mol. Cancer 13:258. doi: 10.1186/1476-4598-13-258

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Z. B., Huang, G. X., Fu, Q., Han, B., Lu, J. J., Chen, A. M., et al. (2019). circRNA.33186 contributes to the pathogenesis of osteoarthritis by sponging miR-127-5p. Mol. Ther. 27, 531–541. doi: 10.1016/j.ymthe.2019.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Zu, Y., Mu, Y., Li, Q., Zhang, S. T., and Yan, H. J. (2019). Icariin alleviates osteoarthritis by inhibiting NLRP3-mediated pyroptosis. J. Orthop. Surg. Res. 14:307.

Google Scholar

Zubairova, U. S., Verman, P. Y., Oshchepkova, P. A., Elsukova, A. S., and Doroshkov, A. V. (2019). LSM-W(2): laser scanning microscopy worker for wheat leaf surface morphology. BMC Syst. Biol. 13:22. doi: 10.1186/s12918-019-0689-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Zucker, R. M., Hunter, E. S. III, and Rogers, J. M. (2000). Confocal laser scanning microscopy of morphology and apoptosis in organogenesis-stage mouse embryos. Methods Mol. Biol. 135, 191–202. doi: 10.1385/1-59259-685-1:191

CrossRef Full Text | Google Scholar

Zucker, R. M., and Rogers, J. M. (2019). Confocal laser scanning microscopy of morphology and apoptosis in organogenesis-stage mouse embryos. Methods Mol. Biol. 1965, 297–311. doi: 10.1007/978-1-4939-9182-2_20

CrossRef Full Text | Google Scholar

Zychlinsky, A., Prevost, M. C., and Sansonetti, P. J. (1992). Shigella flexneri induces apoptosis in infected macrophages. Nature 358, 167–169. doi: 10.1038/358167a0

PubMed Abstract | CrossRef Full Text | Google Scholar