Cell signaling pathways are dynamic networks that enable cells to sense and respond to their environmental cues. Cell signaling is also critical for regulating tissue development and homeostasis. Time often matters for cells to make fate decisions in interpreting different types of signals. Cells not only read the doses of stimuli but also the dynamic changes of signaling activities. In addition, cell signaling pathways interact with different cellular systems, including gene regulatory network, metabolic networks, and mechanotransduction. The crosstalk and feedbacks in complex networks post a challenge to understand the mechanisms of cell signaling at the systems level. To address this challenge, systems biologists study cell signaling and related physiological processes using a combination of mathematical models and quantitative experiments.
Therefore, here, we aim to collect original research that uses modeling and/or experimental methods to study the dynamics of cell signaling systems. The proposed Research Topic will attract submission of review and research papers related (but not limited) to the following areas:
• Systems studies of cell signaling dynamics
• Crosstalk between cell signaling and other biological processes (e.g.: cell cycle, EMT etc.)
• Multiscale modeling applied in cell signaling and tissue formation
• Computational methods and tools in studying cellular dynamics
• Quantitative analysis of cell signaling heterogeneity
Disclosure statement: Topic Editor Prof. Xing is in collaboration with ATCC (https://www.atcc.org/) on testing some of their cell lines in research. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
Cell signaling pathways are dynamic networks that enable cells to sense and respond to their environmental cues. Cell signaling is also critical for regulating tissue development and homeostasis. Time often matters for cells to make fate decisions in interpreting different types of signals. Cells not only read the doses of stimuli but also the dynamic changes of signaling activities. In addition, cell signaling pathways interact with different cellular systems, including gene regulatory network, metabolic networks, and mechanotransduction. The crosstalk and feedbacks in complex networks post a challenge to understand the mechanisms of cell signaling at the systems level. To address this challenge, systems biologists study cell signaling and related physiological processes using a combination of mathematical models and quantitative experiments.
Therefore, here, we aim to collect original research that uses modeling and/or experimental methods to study the dynamics of cell signaling systems. The proposed Research Topic will attract submission of review and research papers related (but not limited) to the following areas:
• Systems studies of cell signaling dynamics
• Crosstalk between cell signaling and other biological processes (e.g.: cell cycle, EMT etc.)
• Multiscale modeling applied in cell signaling and tissue formation
• Computational methods and tools in studying cellular dynamics
• Quantitative analysis of cell signaling heterogeneity
Disclosure statement: Topic Editor Prof. Xing is in collaboration with ATCC (https://www.atcc.org/) on testing some of their cell lines in research. All other Topic Editors declare no competing interests with regards to the Research Topic subject.