PRMT5 Interacting Partners and Substrates in Oligodendrocyte Lineage Cells

The protein arginine methyl transferase PRMT5 is an enzyme expressed in oligodendrocyte lineage cells and responsible for the symmetric methylation of arginine residues on histone tails. Previous work from our laboratory identified PRMT5 as critical for myelination, due to its transcriptional regulation of genes involved in survival and early stages of differentiation. However, besides its nuclear localization, PRMT5 is found at high levels in the cytoplasm of several cell types, including oligodendrocyte progenitor cells (OPCs) and yet, its interacting partners in this lineage, remain elusive. By using mass spectrometry on protein eluates from extracts generated from primary oligodendrocyte lineage cells and immunoprecipitated with PRMT5 antibodies, we identified 1196 proteins as PRMT5 interacting partners. These proteins were related to molecular functions such as RNA binding, ribosomal structure, cadherin and actin binding, nucleotide and protein binding, and GTP and GTPase activity. We then investigated PRMT5 substrates using iTRAQ-based proteomics on cytosolic and nuclear protein extracts from CRISPR-PRMT5 knockdown immortalized oligodendrocyte progenitors compared to CRISPR-EGFP controls. This analysis identified a similar number of peptides in the two subcellular fractions and a total number of 57 proteins with statistically decreased symmetric methylation of arginine residues in the CRISPR-PRMT5 knockdown compared to control. Several PRMT5 substrates were in common with cancer cell lines and related to RNA processing, splicing and transcription. In addition, we detected ten oligodendrocyte lineage specific substrates, corresponding to proteins with high expression levels in neural tissue. They included: PRC2C, a proline-rich protein involved in methyl-RNA binding, HNRPD an RNA binding protein involved in regulation of RNA stability, nuclear proteins involved in transcription and other proteins related to migration and actin cytoskeleton. Together, these results highlight a cell-specific role of PRMT5 in OPC in regulating several other cellular processes, besides RNA splicing and metabolism.

Introduction

The protein arginine methyltransferases (PRMTs) family of enzymes catalyzes the transfer of methyl groups from S-adenosyl methionine (SAM) to guanidine nitrogen of peptidyl arginine residues in mammals (Bedford and Clarke, 2009) and their role in oligodendrocyte lineage cells has been recently highlighted (Blanc and Richard, 2017). PRMTs can be grouped into three categories, based on their final methylarginine products. While type III PRMTs (including PRMT-7 and 9) (Feng et al., 2013; Yang Y. et al., 2015) only generate monomethylarginines (MMA) (Zurita-Lopez et al., 2012), type I PRMTs (including PRMT-1, -2, -3, -4/CARM1, -6, and 8) catalyze the conversion of MMA to asymmetric dimethylarginines (ADMA) while type II PRMTs (including PRMT-5 and -9), generate symmetric dimethylarginines (SDMA) (Tewary et al., 2019). The functional importance of the steric localization of methyl groups on specific arginine residues on the tails of histone H3 (H3R2 and H3R8) and that of histone H4 (H4R3), has been highlighted (Wang et al., 2001; Pal et al., 2004). The symmetric or asymmetric deposition on the same histone R residue results in opposing functions, either promoting or repressing transcription, depending on the position of the arginines and of the adjacent amino acids (Bedford and Richard, 2005; Litt et al., 2009). Besides transcriptional regulation (Kleinschmidt et al., 2008), arginine methylated residues have been shown to play important roles in RNA metabolism and DNA repair (Bedford and Clarke, 2009), thereby affecting diverse cellular functions, including survival and proliferation (Hua et al., 2020; Tanaka et al., 2020).

Among the PRMTs, the type II PRMT5 is highly expressed in the brain and enriched in oligodendrocyte lineage cells (Huang et al., 2011; Zhang et al., 2014; Tasic et al., 2016). Previous work from our lab and others has highlighted the importance of post-translational modification of amino acids on histone tails in regulating the behavior of oligodendrocyte progenitors Liu et al., 2015, 2016; Moyon et al., 2016; Pruvost and Moyon, 2021). For instance, we previously reported the existence of an interesting cross-talk between PRMT5-mediated symmetric dimethylation of arginine residue R3 and acetylation of lysine residue K5 on histone H4, as critical for oligodendrocyte progenitor survival and differentiation (Scaglione et al., 2018). OPCs lacking Prmt5 failed to differentiate in vitro (Huang et al., 2011), an event attributed to the persistent expression of differentiation inhibitors (Id2 and Id4) (Huang et al., 2011) and more recently attributed to broader effects of PRMT5 loss of function on increased histone acetylation and P53-mediated apoptosis leading to defective myelination (Scaglione et al., 2018), a finding independently validated by a different group (Calabretta et al., 2018). However, PRMT5 is predominantly found in the cytoplasm of OPC and of several other cell types, such as cancer cells (Gu et al., 2012) and stem cells (Koh et al., 2015). In these other cell types, cytosolic PRMT5 has been shown to regulate several aspects of RNA metabolism, including spliceosome assembly, through methylation of Sm proteins (Meister and Fischer, 2002; Gonsalvez et al., 2007), RNA splicing, through methylation of the splicing regulator SRSF1 (Radzisheuskaya et al., 2019), ribosome biogenesis, through methylation of RPS10 (Gao et al., 2017) and RNA transport, via arginine methylation of hnRNPA1 (Ren et al., 2010). Cytoplasmic PRMT5 has also been shown to methylate several transcription factors including sterol regulatory element-binding transcription factor 1 (SREBP1) and programmed cell death protein 4 (PDCD4), leading to their nuclear translocation and regulation of their targets (Liang et al., 2021).

Therefore, many of the previous studies focused on PRMT5 as critical regulator of RNA biology, while our previous study addressed the nuclear function of PRMT5, despite its predominant cytosolic localization in OPCs. In this study we use mass spectrometry-based proteomic approaches and iTRAQ labeling of nuclear and cytosolic protein extracts, to broaden our understanding of the role of PRMT5 in OPC by identifying its protein interactors and substrates in oligodendrocyte lineage cells.

Materials and Methods

Primary Oligodendrocyte Progenitor Cell Isolation

Primary mouse OPCs were generated from the cortices of C57BL/6 mice, purchased from Jackson Laboratories and euthanized at postnatal day 7 according to IACUC approved protocols at Icahn School of Medicine. Progenitors were immunopanned with a rat anti-mouse CD140a antibody (BD Bioscience, 558774), as previously described (J. Liu et al., 2015). The isolated cells were then cultured in SATO medium (Dulbecco’s modified Eagle’s medium (DMEM), 100 μg/mL BSA, 100 μg/mL apo-transferrin, 16 μg/mL putrescine, 62.5 ng/mL progesterone, 40 ng/mL selenium, 5 μg/mL insulin, 1 mM sodium pyruvate, 5 μg/ml N-acetyl-cysteine, 10 ng/ml biotin, 5 μM forskolin, B27 Supplement and Trace Element B). Progenitors were plated on PDL coated dishes and cultured in SATO medium supplemented either with Platelet-Derived Growth Factor-AA (PDGFA) (10 ng/ml) and basic Fibroblast Growth Factor (bFGF) (20 ng/ml) or supplemented with 60 nM of Triiodothyronine (T3) in the absence of growth factors.

Immortalized Oligodendrocyte Progenitors (Oli-neu)

Immortalized oligodendrocyte progenitors were received as a gift from Jackie Trotter (Jung et al., 1995) and were cultured on poly-D-lysine coated plates in media (Dulbecco’s modified Eagle’s medium (DMEM), 100 μg/mL BSA, 100 μg/mL apo-transferrin, 16 μg/mL putrescine, 62.5 ng/mL progesterone, 40 ng/mL selenium, 5 μg/mL insulin, 1 mM sodium pyruvate, 5 μg/ml N-acetyl-cysteine, 10 ng/ml biotin, 5 μM forskolin, B27 Supplement, Trace Element B and 1% horse serum).

Lenti-CRISPR/Cas9 Mediated Gene Knockdown System in 293T Cells

The lentiCRISPR-v2 vector was received as a gift from Feng Zhang (Addgene plasmid #52961). Feng Zhang’s laboratory online program¹ was used in designing the sgRNA targets. The two sgRNA target sequences of PRMT5-CRISPR (GAATTGC GTCCCCGAAATAG & CCCGCGTTTCAAGAGGGAGT) used in the study were directed to exon 1 and 2, respectively, of the Prmt5 gene. The other two sgRNAs targeted EGFP gene (GGG CGAGGAGCTGTTCACCG & GAGCTGGACGGCGACGTA AA) and these were used as controls. Both the Prmt5 and EGFP sgRNAs were cloned into the same vector backbone. Cloning was performed according to the Addgene guidelines and as previously described (Shalem et al., 2014; Scaglione et al., 2018). The lenti-CRISPR viruses were generated by transfecting 293T cells with CRISPR/Cas9 plasmids and packing plasmids, psPAX2 and pMD2.G (from Addgene #12260 and #12259). For transfection of every 10-cm dish of 293T cells with polyethylenimine, 10 μg of lenti-CRISPR/Cas9 plasmids, 6 μg of psPAX2 and 2 μg of pMD2.G plasmids were used. The 293T cells were cultured in 293T medium (DMEM, 1mM sodium pyruvate, 2 mM L-glutamine) supplemented with 10% FBS. Tissue culture media were refreshed 15 h post transfection and media containing viruses were harvested 45 h post transfection. Lenti-X^TM concentrator kit (Clontech) was used in concentrating viruses.

Prmt5 Knockdown in Immortalized Oligodendrocyte Progenitors

Immortalized oligodendrocyte progenitors (0.5 million cells) were split into each 10-cm dish 24 h prior to viral infection. Concentrated virus was added into the tissue culture medium of the cells to be infected. The culture medium was supplemented with 4 μg/ml of polybrene. Virus-containing media were replaced by fresh media 8 h post infection. To select for transfected cells, 1 μg/ml of puromycin was added to the medium 2 days post transfection. For experimental analysis, the infected cells were harvested 6 days after infection.

Western Blotting

Western blotting was done by sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) followed by a wet transfer of the proteins onto a polyvinylidene fluoride (PVDF) membrane. The membranes were blocked for 1 h in 10% milk/0.1% Tween/TBS. Primary antibodies were incubated overnight at 4°C in 5% milk/0.1% Tween/TBS. Primary antibodies used include: rabbit-PRMT5 (Abcam ab109451, 1:5000), mouse-GAPDH (Abcam ab8245, 1:5000), total H3 rabbit-(Abcam ab1791, 1:200000), rabbit anti-symmetric Di-Methyl Arginine Motif (Cell Signaling 13222S, 1:1000) and rabbit anti-asymmetric Di-Methyl Arginine Motif (Cell Signaling 13522S, 1:1000). Membranes were washed with 0.1% Tween/TBS and incubated at room temperature for 1 h with horseradish peroxidase conjugated secondary antibodies (Jackson Immunoresearch, 1:10,000) 5% milk/0.1% Tween/TBS. ECL Prime Wester Blotting Detection Reagent kit (GE Healthcare, RPN2232) were then used to develop the membrane. Ponceau staining was performed with Ponceau S solution (Sigma) according to the manufacturer’s instruction. Image J was used to quantify the protein bands.

Subcellular Protein Fractionation

To sperate cellular extracts into cytosolic and nuclear fractions, cell pellets were treated with hypotonic buffer (10 mM HEPES, pH 7.9, 1.5 mM MgCl₂, 10 mM KCl) supplemented with 0.5 mM DTT, 1 mM phenylmethylsulfonyl fluoride (PMSF), and protease inhibitor cocktail. After incubation of the re-suspended cells (by rotation at 4°C for 15 min), the membranes of the cells were disrupted by the addition of 0.5% NP40 and vortexed for 10 sec. Cell lysates were centrifuged at 1,500 × g for 10 min at 4°C to separate cytoplasmic components (supernatant) from nuclei-enriched fractions (pellets). Cytoplasmic extraction buffer (10×) (0.3 M HEPES, 1.4 M KCl and 30 mM MgCl₂) was added to the supernatant and sonicated for 5 min (30 s ON/OFF) at high power in the Bioruptor (Diagenode). The soluble fraction was collected as cytoplasmic extract after centrifugation at 16,000 × g for 10 min at 4°C. The nuclei-enriched pellet initially obtained was then washed twice with hypotonic buffer + 0.5% NP40. The washed nuclei pellets were re-suspended in mild salt buffer (20 mM HEPES, pH 7.9, 10% glycerol, 1.5 mM MgCl₂, 0.2mM EDTA and 150 mM KCl) supplemented with 0.5 mM PMSF and protease inhibitor cocktail. The re-suspended pellets were rotated in 4°C for 20 min. The solution was centrifuged at 10,000 × g for 10 min at 4°C. The soluble fraction was collected as soluble nuclear protein extract.

Immunoprecipitation

Primary oligodendrocyte progenitors kept either in the presence or absence of mitogens supplemented with T3 for 48 h (four preparations) were lysed in NP-40 lysis buffer (50 mM HEPES, pH 7.4, 150 mM NaCl, 10% glycerol, 1 mM EDTA, pH 8 and 1% NP-40) supplemented with protease inhibitor cocktail, PMSF, phosphatase inhibitor and TSA. The re-suspended cells were then incubated and rotated at 4°C for 2 h followed by light sonication at low power for 5 min (30 s ON/OFF). After sonication, the samples were centrifuged at 15,000 × g for 10 min at 4°C and the supernatant saved. Protein concentration was measured and diluted (if needed) into 1–2 mg/ml with lysis buffer. For immunoprecipitation, 5 mg of total proteins for each IP reaction were used. The lysates were pre-cleared with 10 μg of normal IgG for 2 h at 4°C, followed by addition of 50 μL of protein-A. Each sample was divided into two aliquots. One aliquot was immunoprecipitated with 10 μg of PRMT5 antibody (Abcam, ab109451) while 10 μg of normal IgG were added to the other aliquot and served as control. The samples were left in rotation at 4°C overnight. Next, 50 μl of protein-A beads were added into each sample and left in rotation for 2 h at 4°C. Following centrifugation at 3,000 × g for 30 s at 4°C, the immunoprecipitated complexes were washed with 500 μl of lysis buffer supplemented with the inhibitors for a total of five times. Elution was achieved by boiling the samples at 95°C for 10 min in 50 μl of 5× WB loading buffer supplemented with beta-mercaptoethanol. Upon rapid cooling of the samples on ice followed by centrifugation at 15,000 × g for 2 min, the supernatant was used for in gel tryptic digestion and LC-MS/MS.

In Gel Tryptic Digestion and Liquid Chromatography-Tandem Mass Spectrometry for Interactome Samples

The immunoprecipitated samples were run ∼1 cm into SDS-PAGE (Invitrogen NuPAGE Bis-Tris 1.5 mm 10% gel) and stained with Coomassie R250. Gel plugs were subjected to in-gel reduction, alkylation, tryptic digestion, and peptide extraction as described in Shevchenko et al. (1996) and Sleat et al. (2008). Resulting peptides were analyzed by nano LC-MS/MS (Dionex Ultimate 3000 RLSCnano System interfaced with a Velos-LTQ-Orbitrap (Thermo Fisher Scientific, San Jose, CA, United States) as described in (Sleat et al., 2013).

Interactome Data Analysis

Proteome Discoverer was used to generate mgf files and data were searched against the Ensembl mouse database (Mus_musculus.GRCm37.pep.all.fasta) using an in house version of X!Tandem (GPM cyclone, Beavis Informatics Ltd, Winnipeg, Canada) (Beavis, 2006). Precursor ion mass error tolerance was set to ± 10 ppm and fragment mass error tolerance to ± 0.4 Da. Cysteine carbamidomethylation was set as a complete modification. Acetylation on protein N-termini and oxidation on methionine were set as variable modifications during the first pass search. Deamination of glutamine and asparagine, dioxidation on methionine, oxidation, and dioxidation on tryptophan were set as variable modifications during the search refinement. Trypsin was set for protein cleavage with one or five missed cuts allowed during the initial and refinement searches, respectively. Peptide-spectrum matches with an expectation score of 0.01 were included in the final report. The peptides were grouped into proteins using strict parsimony principle. The spectral counts were analyzed as previously described (Qian et al., 2008). Only proteins with at least two unique peptides detected in the samples immunoprecipitated with PRMT5 antibody, and not in the IgG group, were considered for further analysis. Protein names were converted into gene names and gene ontology analysis was performed using DAVID software. To determine the most abundant molecular functions driven by PRMT5 interactors, we considered categories including at least 1% of the total protein interactors. The percentages were calculated by using only unique proteins in each of the molecular functional categories.

Protein Digestion, Isobaric Tags for Relative and Absolute Quantitation Labeling, and LC-MS/MS

The protein samples included cytosolic and nuclear fractions, which were independently processed and 0.7 mg/sample for cytosolic fractions and 0.9 mg/sample for nuclear fractions were digested with trypsin, labeled with the iTRAQ reagents following manufacturer’s instruction (ABSciex). iTRAQ samples from each genotype were pooled together and a small fraction (5%) was initially analyzed by quantitative nanoLC-MS/MS, thereby verifying that similar protein amounts were present in both samples. Total reporter ion intensities for each iTRAQ label were determined to be in a similar range in both samples, further validating the similar protein amounts and used as normalization factors in analysis of enriched methylated peptides. This served as control for minor variations in amounts of protein analyzed along with digestion and labeling efficiency. The rest of the samples from each fraction from PRMT5 silenced cells and controls, were subjected to an affinity enrichment using an immobilized antibody recognizing symmetric dimethyl arginine residues (Cell Signaling, 13563) following manufacturer’s standard protocol. At the elution stage, the beads were eluted with 0.15% TFA (trifluroracetic acid) and desalted/concentrated using STAGE trips (Rappsilber et al., 2007). Each of these eluted fractions were analyzed by quantitative LC-MS/MS using a Dionex Ultimate 3000 RLSCnano System interfaced with a QExactive HF (Thermo Fisher Scientific, San Jose, CA) with parameters described in Sleat et al. (2019). The iTRAQ data analysis and statistics were performed using an in-house program described in Sleat et al. (2017). Ontology analysis of the identified non-histone substrates of PRMT5 was performed after converting protein names to gene names using DAVID software. To exclude the inaccurate attribution of substrates due to the effects of PRMT5 knockdown on transcription, we excluded from all the identified substrates those which overlapped with the downregulated transcript list from Scaglione et al. (2018).

Data Availability

Proteomics MS data (interactome and iTRAQ) have been deposited at Mass Spectrometry Interactive Virtual Environment (MassIVE) with accession number MSV000088396. They can be accessed with the following URL: https://massive.ucsd.edu/ProteoSAFe/static/massive.jsp.

Results

Identification of Novel Interactors of PRMT5 in Oligodendrocyte Lineage Cells

To start identifying potential novel interacting proteins of PRMT5 in oligodendrocyte lineage cells we performed an exploratory analysis using LC-MS/MS. Briefly, peptides were obtained by tryptic digestion of eluates from protein lysates that were immunoprecipitated either with a PRMT5 specific antibody or with a non-specific IgG as control (Figure 1A). The putative PRMT5 interacting proteins were identified using Ensembl, by analyzing those peptides with at least two counts in the PRMT5 immunoprecipitates but not in the IgG control (Supplementary Table 1). After removal of contaminants, the remaining 1196 murine proteins were referred to their relative gene names and further analyzed, using DAVID Gene Ontology analysis to identify functional categories (Figure 1B). As internal validation for the analysis, we retrieved several known interactors of PRMT5. Of note, we detected the methylosome protein 50 (MEP50, encoded by Mep50/Wdr77), a molecule that forms a complex with PRMT5 and correctly positions substrates for increased binding affinity (Antonysamy et al., 2012; Burgos et al., 2015). Other known PRMT5 interactors identified by our analysis include: the Band 4.1-like protein 3 (E41L3, encoded by Epb41l3) (Jiang et al., 2005), the small nuclear ribonucleoprotein Sm D1 (SMD1, encoded by Snrpd1) (Meister et al., 2001; Pesiridis et al., 2009), the TNF receptor-associated factor 4 (TRAF4, encoded by Traf4) (Rozan and El-Deiry, 2006; Yang F. et al., 2015), and the zinc-finger protein 326 (ZN326, encoded by Znf326) (Rengasamy et al., 2017). In addition, gene ontology analysis of molecular function revealed an enrichment of proteins involved in poly(A)RNA binding, ribosomal structure and nucleotide binding, but also in categories related to cadherin, actin binding and GTPase activity (Figure 1C and Supplementary Table 2). Gene ontology analysis of cellular localization identified mostly a function of PRMT5 in the extracellular exosomes, cytosol, and also ribosome and membrane organelles (Figure 1D and Supplementary Table 2). Consistent with previous reports in other cell types (Rengasamy et al., 2017; Radzisheuskaya et al., 2019), the largest proportion of the PRMT5 protein interactors was involved in molecular functions related to RNA binding (26.3%), protein binding (14.0%) and nucleotide binding (11.7%), with a minor proportion related to actin (7.3%) or cadherin (2.8%) binding and 31.3% related to other molecular functions (Figure 1E). Together, these results suggest that the most prominent function of PRMT5 is conserved in several cell types and is related to RNA processing, although other functions related to actin-dependent events and focal adhesion or cell-cell contacts were also identified in the OPC.

FIGURE 1

Figure 1. PRMT5 interacting partners in oligodendrocyte lineage cells. (A) Schematic diagram of PRMT5 immunoprecipitation (IP) of primary oligodendrocyte lineage cell extracts, followed by mass spectrometry analysis to identifying the interacting partners of PRMT5. (B) Summary of the steps involved in the analysis of the interactome data. (C,D) Molecular functions (C) and cellular localizations (D) of PRMT5 interactors in oligodendrocyte lineage cells. Gene ontology analysis was performed using DAVID software. (E) The pie-chart shows the proportions of unique proteins involved in the selected molecular functions.

Identification of PRMT5 Non-histone Substrates in Immortalized Oligodendrocyte Progenitors

In order to gain further insights on PRMT5 substrates in the oligodendrocyte lineage, we then used isobaric Tags for Relative and Absolute Quantitation (iTRAQ) of cytosolic or nuclear extracts from immortalized oligodendrocyte progenitors either silenced with lentiviral-mediated PRMT5 CRISPR-Cas9 (PRMT5-CRISPR) or transduced with EGFP-CRISPR, as control. The efficiency of the knockdown was validated using western blot analysis (Figure 2A). Decreased levels of PRMT5 in both cytosolic and nuclear extracts were detected in PRMT5-CRISPR cells compared to EGFP-CRISPR controls, although the total number of proteins was shown to be comparable (see section “Materials and Methods”) in PRMT5 knockdown cells and controls (Figure 2B). As expected, PRMT5 enzymatic activity was decreased in the cytosolic and nuclear extracts from PRMT5 knockdown cells compared to EGFP-CRISPR controls, as indicated by Western-blot analysis, using an antibody recognizing all the proteins with symmetrically dimethylated arginine residues (Figure 2C). Multiple immunoreactive bands across a wide range of molecular weights (15–250 kDa) were detected in the EGFP-CRISPR controls, while their signal intensity was either lost or reduced in PRMT5-CRISPR samples (Figure 2C), suggesting the existence of several proteins with decreased levels of symmetrically methylated arginine residues in knockdown cells. Importantly, the reduction or absence of proteins with symmetric methylated arginines was not met by increased levels of proteins with asymmetric arginine methylation, suggesting that Type I PRMTs did not compensate for decreased Type II PRMT function (Figure 2D). To define the identity of the PRMT5 substrates in immortalized progenitors, we utilized iTRAQ-based mass spectrometry of cytosolic and nuclear extracts (Figure 3A). We digested the cytosolic and nuclear protein samples into peptides and followed by iTRAQ labeling, we then used specific antibodies to enrich for peptides containing symmetric dimethyl arginine residues. Samples were subjected to LC-MS/MS analysis and symmetrically dimethylated arginine levels of each peptide were quantified in cytosolic and nuclear extracts from PRMT5 knockdown cells and controls. Of the peptides with a minimum of three spectral counts in control samples, 307 harbored at least one symmetric dimethyl arginine site (p-value < 0.05) (Supplementary Table 3). Of those, 77 peptides were detected as differentially methylated only in the cytosolic fraction, 91 only in the nuclear fraction, and 139 peptides were found in both fractions (Figure 3B). Therefore, a similar number of peptides were found to be differentially methylated in either the cytosolic (n = 216) or nuclear fraction (n = 230) of the PRMT5 knockdown cells compared to the EGFP controls. These peptides corresponded to 60 putative protein substrates with significantly different arginine methylation in knockdown cells compared to controls. We then subtracted the proteins whose transcript levels were downregulated by PRMT5 knockdown [as we published in Scaglione et al. (2018)], in order to avoid the potential confounder of the transcriptional effect of PRMT5. The new analysis identified 57 substrates (Figure 3B). All the 307 peptides identified in both fractions, with their respective fold changes in knockdown cells and compared to controls and relative p-values are shown in the volcano plot (Figure 3C and Supplementary Table 3). The identified 57 substrates with 14 proteins detected only in the cytosolic fraction, 11 proteins only in the nuclear fraction and 32 in both (Figure 3D). These data do not suggest a preferential methylation of substrate in one fraction versus the other. Substrates were characterized by the presence of symmetrically methylated arginine residues flanked by glycine residues, identifying the RGG or RG motif as previously reported (Thandapani et al., 2013 and Supplementary Table 4), with very few exceptions. PRMT5 substrates identified only in the cytosolic fraction of oligodendrocyte lineage cells included: the zinc-finger binding protein CNBP (encoded by Cnbp), the temperature responsive mRNA binding protein RBM3 (encoded by Rbm3), the mRNA trafficking protein FMR1 (encoded by Fmr1), the chromatin remodeling complex BAZ1A (Encoded by Baz1a) and the repressor of translation initiation GGYF2 (encoded by Gigyf2). Substrates identified in the nuclear fraction included: the multi-functional ATP binding helicase DHX9 (encoded by Dhx9) expressed at high levels in the oligodendrocyte lineage and involved in the positive regulation of nuclear export of constitutive transport element (CTE)-containing unspliced mRNA (Lee and Pelletier, 2016), the histone protein H2Az (encoded by H2az1), and the transcription factor ZN658 (encoded by Zfp658). Substrates identified in both cytosolic and nuclear fractions included: proteins regulating pre-mRNA splicing (e.g., RSMB encoded by Snrpb, SMD3 encoded by Snrpd3), brain-specific RNA splicing (e.g., RSMN encoded by Snrpn), regulation or packaging of pre-mRNA into hnRNP particles (e.g., HNRH1 encoded by Hnrnph1) and transport from the nucleus to the cytoplasm (e.g., ROA1 encoded by Hnrnpa1), RNA decay and mRNA turnover (e.g., HNRPD encoded by Hnrnpd) as well as the methylated RNA binding proline-rich protein PRC2C (encoded by Prrc2c) (Figure 3D). Next, we performed gene ontology with the unique substrates detected in the cytosolic or nuclear fraction using DAVID Ontology software (Figure 3E and Supplementary Table 5). Regardless of the fraction where the proteins were identified, PRMT5 substrates were overwhelmingly represented in categories such as mRNA processing, RNA splicing, regulation of mRNA stability and positive regulation of translation, with the nuclear fraction additionally showing histones and DNA binding proteins. Worth noticing is the fact that some nuclear proteins were found to be methylated in the cytoplasmic fraction, possibly suggesting a role for symmetric arginine methylation in regulating nuclear/cytosolic shuttling and nuclear transport.

FIGURE 2

Figure 2. Knockdown of PRMT5 expression using lentiviral CRISPR/Cas9 decreased symmetric but not asymmetric arginine dimethylation in immortalized progenitors. (A) Western blots documenting the levels of PRMT5 protein in cytosolic and nuclear protein extracts from immortalized progenitors infected with PRMT5-CRISPR lentiviruses or EGFP-CRISPR as control. (B) Quantification of PRMT5 protein levels in cytosolic and nuclear fractions of EGFP-CRISPR control and PRMT5-CRISPR cells. PRMT5 levels in both the cytosolic and nuclear fractions were normalized to GAPDH (C,D) Western blot performed with the same protein extracts as (A) but probed with antibodies specific for symmetrically dimethylated arginine residues (Rme2s) (C) and asymmetrically dimethylated arginine residues (Rme2a) (D).

FIGURE 3

Figure 3. iTRAQ-based proteomics analysis reveals potential substrates of PRMT5 in immortalized progenitors. (A) Schematic diagram of the experimental design and workflow of iTRAQ labeling and LC-MS/MS analysis of cytosolic and nuclear extracts from PRMT5 knockdown and EFGP CRISPR controls. (B) Flow chart of data analysis after iTRAQ-based proteomic. (C) Volcano plot of the 307 immunoaffinity enriched peptides with symmetrically dimethylated arginine residues in control cells, relative to PRMT5-CRISPR cells. On the X axis are values of Log₂ (PRMT5-KD/control) and on Y axis are the -log10 (p-values). The red dots represent peptides with fold change < -1 or > 1 and with p-value < 0.05. The gray dots represent peptides outside these intervals and level of significance. The plot was generated by combining all the peptides detected in nuclear and cytoplasmic fractions. (D) List of the PRMT5 substrates identified after analysis of the iTRAQ datasets generated with nuclear and cytosolic extracts from oligodendrocyte lineage cells. (E) Molecular functions of PRMT5 non-histone substrates identified in the cytosolic (left) and nuclear (right) fractions. Gene ontology analysis was performed using DAVID software.

Comparative Analysis of PRMT5 Substrates in Immortalized Progenitor Cells and Other Cell Lines

Functional interactions among the 57 PRMT5 substrates were analyzed using Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) and validated the importance of PRMT5 substrates in regulating three main processes: overwhelmingly mRNA splicing and related pathways, but also DNA binding and other cellular processes involved in migration and other functions (Figure 4A). We then compared the PRMT5 substrates identified by our study in oligodendrocyte lineage cells to those previously reported in distinct tumors and cell lines (Supplementary Table 6). Of the 57 substrates, 18 proteins (31.6%) were in common with the substrates previously identified in HeLa cells (Musiani et al., 2019), 23 proteins (40.3%) were in common with those identified in human AML cells (human acute myeloid leukemia) (Radzisheuskaya et al., 2019), 18 proteins (31.6%) in common with HEK293T cells (Li et al., 2021), and 39 proteins (68.4%) with the MiaPaca2 cells (human pancreatic cancer cell line) (Mulvaney et al., 2021; Figure 4B). Among the proteins shared between oligodendrocyte progenitors and the cell lines, we identified the zinc-finger protein ZN326, the RNA binding protein involved in mRNA transport ROA1, and the spliceosome component RSMB, suggesting a common role of PRMT5 in related processes in distinct cell types (Supplementary Table 6). Ten PRMT5 substrates were identified only in the oligodendrocyte lineage cells and included HNRPD, a molecule involved in RNA stability and circadian regulation of translation (Fialcowitz et al., 2005; Kojima et al., 2011), the cytoplasmic proline-rich PRC2C substrate, with the ability to bind methylated RNA (Wu et al., 2019), the WASP Like Actin Nucleation Promoting Factor WASL, expressed at high levels in neural tissue (Fukuoka et al., 1997), the nuclear NudE Neurodevelopment protein 1 NDE1, which is involved in microtubule organization and neuronal migration (Feng and Walsh, 2004; Sasaki et al., 2005) and the RNA binding protein DAZP1. Among the oligodendrocyte unique substrates, with atypical PRMT5 methylation sites we also identified the zinc-dependent transcriptional repressor ZN658, the histone H2Az previously reported to be involved in gliogenesis (Su et al., 2018) and the component of the ATP-dependent chromatin remodeling complex BAZ1A, which is enriched in the newly formed oligodendrocytes (Sharma et al., 2015; Zeisel et al., 2015).

FIGURE 4

Figure 4. Comparative analysis of PRMT5 protein substrates. (A) Functional connections among the 57 PRMT5 substrates identified in oligodendrocyte lineage cells using the STRING protein-protein interaction database (http://string-db.org/), with Medium Confidence (0.400) threshold parameter. Proteins involved in a common pathway are indicated by same-colored nodes (top right). Lines between nodes represent distinct associations between proteins, with line colors indicating different types of relationships: neighborhood (green), gene fusion (red), co-occurrence (dark blue), co-expression (black), experimental evidence (pink), database (turquoise), text mining (light green), and homology (violet). (B) Venn diagrams representing the overlaps of PRMT5 substrates between those reported in the indicated studies and the ones identified in our current study. (C) List of PRMT5 substrates that are unique to the oligodendrocyte lineage cells. The table shows the detected substrates, their Ensembl IDs, the specific symmetrically methylated arginine residues within the peptide sequences of each substrate. The symmetrically dimethylated arginine residues are in red and the canonical RGG/RG motifs recognized by PRMT5 are underlined.

Discussion

Arginine methylation is an energetically demanding modification, requiring the use of 12 ATP molecules for each methylation event (Gary and Clarke, 1998) resulting in a change of the shape of arginine residues, which lose their ability to bind to hydrogen bond acceptor proteins (Fuhrmann et al., 2015), while gaining the ability to bind to other proteins (Hughes and Waters, 2006). Methylation is catalyzed by the PRMT family of enzymes, with asymmetric methylation of RxR motifs catalyzed by class I PRMTs (e.g., PRMT1) and symmetric methylation of RGG/RG motifs catalyzed by class II (e.g., PRMT5). Intriguingly PRMT1 deletion in neural stem cells significantly reduced the ability of oligodendrocyte progenitor cells to differentiate into myelin-forming cells while it had no effect on astrocytic and neuronal differentiation (Hashimoto et al., 2016). Oligodendrocyte lineage specific deletion of Prmt5 impacted survival of newly formed oligodendrocytes and impaired differentiation (Scaglione et al., 2018), thereby suggesting a critical role of PRMT5 in this lineage. PRMT1 has been shown to mostly function as a transcriptional activator by recruiting histone acetyltransferase to the asymmetrically methylated R3 residue in histone H4 (H4R3me2a) and facilitating acetylation of several lysine residues (Huang et al., 2005), while PRMT5 has been characterized as mediating transcriptional repression by competition of H4R3me2s with K5 residue acetylation (Scaglione et al., 2018). However, only a small fraction of the PRMT5 protein displayed nuclear localization in the oligodendrocyte lineage cells and spurred the interest to identify the existence of cell-specific interactors and substrates. The analysis presented in this study provides an initial description of the proteins specifically immunoprecipitated by a PRMT5-specific antibody but not by a non-specific IgG. Of the several interactors, we identified previously reported protein partners (Liang et al., 2021), such as WDR77/MEP50 (Antonysamy et al., 2012; Burgos et al., 2015) and several other molecules reported in other cell types, such as Small nuclear ribonucleoprotein Sm D1 (Meister et al., 2001; Pesiridis et al., 2009), TNF receptor-associated factor 4 (Rozan and El-Deiry, 2006; Yang F. et al., 2015) and transcription factor ZN326 (encoded by Znf326) (Rengasamy et al., 2017). At odds with previous reports on the role of PRMT5 in regulating the cell cycle, either by affecting histone methylation (F. Liu et al., 2020) or by direct methylation of P53 and E2F1 in cancer cells (Pastore et al., 2020), we did not detect any cell cycle regulatory molecule in our study. These results are also consistent with the lack of a proliferation-related phenotype in mice with oligodendrocyte lineage specific Prmt5 knockout (Scaglione et al., 2018) and further reinforce the concept that the physiological role of PRMT5 is distinct from that studied in cancer cells.

We then searched for PRMT5 substrates using iTRAQ analysis of cytosolic and nuclear protein extracts from oligodendrocyte lineage cells with PRMT5 knocked down compared to control cells, immunoprecipitated with antibodies recognizing symmetrically methylated arginine residues. We only analyzed peptides with symmetrically methylated arginine residues in control, but not in PRMT5 knockdown cells. We then obtained the proteins corresponding to those peptides and eliminated from the results any molecule whose transcripts we had previously reported to be downregulated in Prmt5 knockdown cells (Scaglione et al., 2018). This left us with the identification of 57 protein substrates identified in the nuclear and cytosolic extracts. In common with many cell lines (Musiani et al., 2019; Radzisheuskaya et al., 2019; Li et al., 2021; Mulvaney et al., 2021), we detected the majority of PRMT5 substrates involved in RNA splicing and processing. Among the common PRMT5 substrates (Musiani et al., 2019; Radzisheuskaya et al., 2019; Li et al., 2021; Mulvaney et al., 2021), we identified: ROA1, a protein regulating translation at the internal ribosomal entry site (Gao et al., 2017), the ribosomal protein RS10, whose arginine methylation is essential for proper ribosome assembly, and the zinc-finger protein ZN326, enriched in the oligodendrocyte lineage (Zhang et al., 2014; Sharma et al., 2015) and regulated throughout development, with the highest expression in neuronal tissues in E11.5 embryos (Lee et al., 2000). ZN326 complexes with nuclear messenger ribonucleoproteins (mRNPs) and Deleted in Breast Cancer 1 (DBC1) to form the regulatory DBIRD complex. The DBIRD complex binds to RNA polymerase II (RNAPII) and regulates alternative splicing (exon skipping) by facilitating transcriptional elongation at junctions between introns and AT rich exons (Close et al., 2012; Rengasamy et al., 2017). By symmetrically methylating ZN326, PRMT5 ensures the exclusion of AT rich exons as their inclusion has profound destabilizing effects on RNA (Close et al., 2012; Rengasamy et al., 2017). ZN326 has also been reported to positively regulate the WNT pathway and HDAC transcription activities in glioma (Yu et al., 2019), both implicated in timing of oligodendrocyte development in the central nervous system (Marin-Husstege et al., 2002; Conway et al., 2012).

Among the protein substrates uniquely identified in the oligodendrocyte lineage cells we found several proteins enriched in neural tissue, such as chromatin remodeling protein BAZ1A, the ATP-dependent helicase DHX9 and several molecules regulating the microtubule and actin cytoskeleton, including WASL, BORG5, and NDE1. We also detected HNRPD, a component of a family of proteins regulating the maturation of the heterogeneous nuclear RNAs (hnRNAs) into messenger RNAs (mRNA) and their subsequent translation (Geuens et al., 2016). Due to its affinity of for AU-rich mRNA-destabilizing sequence in the 3′-UTR region of mRNA, HNRPD is thought to regulate mRNA decay (Fialcowitz et al., 2005), such as the half-life of immediate-early genes and the circadian regulation of circadian rhythm genes, such as Cry and Per (Kojima et al., 2011).

PRC2C, an RNA-binding protein seen in few studies (Baltz et al., 2012; Castello et al., 2012, 2016), is an additional PRMT5 substrate that is unique to oligodendrocyte lineage cells. In a recent study in neural cells, PRC2C and PRC2A were both identified as novel readers of N⁶-methyladenosine (m⁶A), a methylated adenosine modification in mRNA (Wu et al., 2019). While the role of PRC2C protein in oligodendrocyte lineage cells is yet to be investigated, a closely related protein, PRC2A has been shown to control oligodendroglial specification and myelination (Wu et al., 2019).

In summary, our data suggest a critical role of PRMT5 in regulating mRNA metabolism, but also transcription and translation. A potential limitation of our analysis is the focus on PRMT5 substrates in the cytosolic and nuclear fractions of oligodendrocyte lineage cells, thereby leaving out substrates potentially enriched in other subcellular compartments (such as the plasma membranes or internal organelles). A notable example is the membrane associated PDGFRα, previously identified as PRMT5 target in OPCs (Calabretta et al., 2018). Overall, future studies will be needed to fully elucidate the role of arginine methylation in brain health and in disease states.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: CCMS MassIVE, accession no: MSV000088396.

Ethics Statement

This animal study was reviewed and approved by IACUC at Icahn School of Medicine.

Author Contributions

DD analyzed the data relative to interacting partners and substrates, prepared the figures, wrote the first draft of the text, and edited the manuscript with PC. JL prepared the cell extracts and worked with PC and HZ in experimental design. IS performed the substrate data analysis and comparative analysis with other studies and helped with figure preparation and text editing. HZ and DM helped with the design and performance of the iTRAQ experiment and mass spectrometry, analyzed the raw data, and contributed to manuscript editing. PC worked with JL on the initial experimental design and conceptualization, wrote the text with DD, and supervised the overall workflow. All authors contributed to the article and approved the submitted version.

Funding

This project was supported by R35-NS111604 from the National Institute Neurological Disorders and Stroke of Health to PC. Work performed at the Rutgers Biological Mass Spectrometry Facility was partially supported by P30NS046593, S10OD016400, and S10RR024584.

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.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fncel.2022.820226/full#supplementary-material

Supplementary Table 1 | Interacting partners of PRMT5 in oligodendrocyte lineage cells. List of PRMT5 interactors in oligodendrocyte lineage cells identified by their gene symbols and ranked according to the number of identified unique peptides.

Supplementary Table 2 | Ontology terms of PRMT5 interacting partners in oligodendrocyte lineage cells. Top 50 molecular functions of PRMT5 interactors in oligodendrocyte lineage cells. Gene ontology was performed using DAVID analysis. The GO terms and relative p-values are shown.

Supplementary Table 3 | Peptides (n = 307) with differential Rme2s in PRMT5 KD cells compared to EGFP controls. The first column shows the total number of peptides with symmetrically methylated arginine residues that were identified in the control cells as significantly different from the PRMT5 knockdown cells. The corresponding log2foldchange and p-values of the significant peptides are shown in the second and third column, respectively.

Supplementary Table 4 | Symmetrically dimethylated arginine residues of PRMT5 substrates in oligodendrocyte lineage cells. List of PRMT5 substrates, their Uniprot Protein Identification Codes and accession numbers, and the specific arginines residues identified as symmetrically dimethylated in the controls but not in PRMT5 knockdown cells.

Supplementary Table 5 | Ontology terms of PRMT5 substrates in oligodendrocyte lineage cells. Molecular functions of PRMT5 substrates identified in cytosolic and nuclear extracts from oligodendrocyte lineage cells. Gene ontology was performed using DAVID analysis. The GO terms and relative p-values are shown.

Supplementary Table 6 | PRMT5 substrates in different cell lines. List of PRMT5 substrates identified in our study (immortalized oligodendrocyte progenitors), MiaPaca2 cells (Mulvaney et al., 2021), HeLa cells (Musiani et al., 2019), AML cells (Radzisheuskaya et al., 2019), and HEK293 cells (Li et al., 2021). Highlighted in red are substrates whose transcript levels are downregulated in PRMT5 KD cells (Scaglione et al., 2018).

Footnotes

1. ^ http://crispr.mit.edu/

References

Antonysamy, S., Bonday, Z., Campbell, R. M., Doyle, B., Druzina, Z., Gheyi, T., et al. (2012). Crystal structure of the human PRMT5:MEP50 complex. Proc. Natl. Acad. Sci. U.S.A. 109, 17960–17965. doi: 10.1073/pnas.1209814109

PubMed Abstract | CrossRef Full Text | Google Scholar

Baltz, A. G., Munschauer, M., Schwanhäusser, B., Vasile, A., Murakawa, Y., Schueler, M., et al. (2012). The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts. Mol. Cell 46, 674–690. doi: 10.1016/j.molcel.2012.05.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Beavis, R. C. (2006). Using the global proteome machine for protein identification. Methods Mol. Biol. 328, 217–228. doi: 10.1385/1-59745-026-x:217

CrossRef Full Text | Google Scholar

Bedford, M. T., and Clarke, S. G. (2009). Protein arginine methylation in mammals: who, what, and why. Mol. Cell 33, 1–13. doi: 10.1016/j.molcel.2008.12.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Bedford, M. T., and Richard, S. (2005). Arginine methylation: an emerging regulator of protein function. Mol. Cell 18, 263–272. doi: 10.1016/j.molcel.2005.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Blanc, R. S., and Richard, S. (2017). Arginine methylation: the coming of age. Mol. Cell 65, 8–24. doi: 10.1016/j.molcel.2016.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Burgos, E. S., Wilczek, C., Onikubo, T., Bonanno, J. B., Jansong, J., Reime, U., et al. (2015). Histone H2A and H4 N-terminal tails are positioned by the MEP50 WD repeat protein for efficient methylation by the PRMT5 arginine methyltransferase. J. Biol. Chem. 290, 9674–9689. doi: 10.1074/jbc.M115.636894

PubMed Abstract | CrossRef Full Text | Google Scholar

Calabretta, S., Vogel, G., Yu, Z., Choquet, K., Darbelli, L., Nicholson, T. B., et al. (2018). Loss of PRMT5 promotes PDGFRα degradation during oligodendrocyte differentiation and myelination. Dev. Cell 46, 426–440.e5. doi: 10.1016/j.devcel.2018.06.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Castello, A., Fischer, B., Eichelbaum, K., Horos, R., Beckmann, B. M., Strein, C., et al. (2012). Insights into RNA biology from an atlas of mammalian mRNA-binding proteins. Cell 149, 1393–1406. doi: 10.1016/j.cell.2012.04.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Castello, A., Fischer, B., Frese, C. K., Horos, R., Alleaume, A. M., Foehr, S., et al. (2016). Comprehensive identification of RNA-binding domains in human cells. Mol. Cell 63, 696–710. doi: 10.1016/j.molcel.2016.06.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Close, P., East, P., Dirac-Svejstrup, A. B., Hartmann, H., Heron, M., Maslen, S., et al. (2012). DBIRD complex integrates alternative mRNA splicing with RNA polymerase II transcript elongation. Nature 484, 386–389. doi: 10.1038/nature10925

PubMed Abstract | CrossRef Full Text | Google Scholar

Conway, G. D., O’Bara, M. A., Vedia, B. H., Pol, S. U., and Sim, F. J. (2012). Histone deacetylase activity is required for human oligodendrocyte progenitor differentiation. Glia 60, 1944–1953. doi: 10.1002/glia.22410

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, Y., and Walsh, C. A. (2004). Mitotic spindle regulation by Nde1 controls cerebral cortical size. Neuron 44, 279–293. doi: 10.1016/j.neuron.2004.09.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, Y., Maity, R., Whitelegge, J. P., Hadjikyriacou, A., Li, Z., Zurita-Lopez, C., et al. (2013). Mammalian protein arginine methyltransferase 7 (PRMT7) specifically targets RXR sites in lysine- and arginine-rich regions. J. Biol. Chem. 288, 37010–37025. doi: 10.1074/jbc.M113.525345

PubMed Abstract | CrossRef Full Text | Google Scholar

Fialcowitz, E. J., Brewer, B. Y., Keenan, B. P., and Wilson, G. M. (2005). A hairpin-like structure within an AU-rich mRNA-destabilizing element regulates trans-factor binding selectivity and mRNA decay kinetics. J. Biol. Chem. 280, 22406–22417. doi: 10.1074/jbc.M500618200

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuhrmann, J., Clancy, K. W., and Thompson, P. R. (2015). Chemical biology of protein arginine modifications in epigenetic regulation. Chem. Rev. 115, 5413–5461. doi: 10.1021/acs.chemrev.5b00003

PubMed Abstract | CrossRef Full Text | Google Scholar

Fukuoka, M., Miki, H., and Takenawa, T. (1997). Identification of N-WASP homologs in human and rat brain. Gene 196, 43–48. doi: 10.1016/S0378-1119(97)00184-4

CrossRef Full Text | Google Scholar

Gao, G., Dhar, S., and Bedford, M. T. (2017). PRMT5 regulates IRES-dependent translation via methylation of hnRNP A1. Nucleic Acids Res. 45, 4359–4369. doi: 10.1093/nar/gkw1367

PubMed Abstract | CrossRef Full Text | Google Scholar

Gary, J. D., and Clarke, S. (1998). RNA and protein interactions modulated by protein arginine methylation. Prog. Nucleic Acid Res. Mol. Biol. 61, 65–131. doi: 10.1016/s0079-6603(08)60825-9

CrossRef Full Text | Google Scholar

Geuens, T., Bouhy, D., and Timmerman, V. (2016). The hnRNP family: insights into their role in health and disease. Hum. Genet. 135, 851–867. doi: 10.1007/s00439-016-1683-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Gonsalvez, G. B., Tian, L., Ospina, J. K., Boisvert, F. M., Lamond, A. I., and Matera, A. G. (2007). Two distinct arginine methyltransferases are required for biogenesis of Sm-class ribonucleoproteins. J. Cell. Biol. 178, 733–740. doi: 10.1083/jcb.200702147

PubMed Abstract | CrossRef Full Text | Google Scholar

Gu, Z., Li, Y., Lee, P., Liu, T., Wan, C., and Wang, Z. (2012). Protein arginine methyltransferase 5 functions in opposite ways in the cytoplasm and nucleus of prostate cancer cells. PLoS One 7:e44033. doi: 10.1371/journal.pone.0044033

PubMed Abstract | CrossRef Full Text | Google Scholar

Hashimoto, M., Murata, K., Ishida, J., Kanou, A., Kasuya, Y., and Fukamizu, A. (2016). Severe hypomyelination and developmental defects are caused in mice lacking protein arginine methyltransferase 1 (PRMT1) in the central nervous system. J. Biol. Chem. 291, 2237–2245. doi: 10.1074/jbc.M115.684514

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, J., Vogel, G., Yu, Z., Almazan, G., and Richard, S. (2011). Type II arginine methyltransferase PRMT5 regulates gene expression of inhibitors of differentiation/DNA binding Id2 and Id4 during glial cell differentiation. J. Biol. Chem. 286, 44424–44432. doi: 10.1074/jbc.M111.277046

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, S., Litt, M., and Felsenfeld, G. (2005). Methylation of histone H4 by arginine methyltransferase PRMT1 is essential in vivo for many subsequent histone modifications. Genes Dev. 19, 1885–1893. doi: 10.1101/gad.1333905

PubMed Abstract | CrossRef Full Text | Google Scholar

Hua, Z. Y., Hansen, J. N., He, M., Dai, S. K., Choi, Y., Fulton, M. D., et al. (2020). PRMT1 promotes neuroblastoma cell survival through ATF5. Oncogenesis 9:50. doi: 10.1038/s41389-020-0237-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Hughes, R. M., and Waters, M. L. (2006). Arginine methylation in a β-hairpin peptide: implications for Arg-π interactions, ΔCp°, and the cold denatured state. J. Am. Chem. Soc. 128, 12735–12742. doi: 10.1021/ja061656g

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang, W., Roemer, M. E., and Newsham, I. F. (2005). The tumor suppressor DAL-1/4.1B modulates protein arginine N-methyltransferase 5 activity in a substrate-specific manner. Biochem. Biophys. Res. Commun. 329, 522–530. doi: 10.1016/j.bbrc.2005.01.153

PubMed Abstract | CrossRef Full Text | Google Scholar

Jung, M., Krämer, E., Grzenkowski, M., Tang, K., Blakemore, W., Aguzzi, A., et al. (1995). Lines of Murine oligodendroglial precursor cells immortalized by an activated neu tyrosine kinase show distinct degrees of interaction with axons in vitro and in vivo. Eur. J. Neurosci. 7, 1245–1265. doi: 10.1111/j.1460-9568.1995.tb01115.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kleinschmidt, M. A., Streubel, G., Samans, B., Krause, M., and Bauer, U. M. (2008). The protein arginine methyltransferases CARM1 and PRMT1 cooperate in gene regulation. Nucleic Acids Res. 36, 3202–3213. doi: 10.1093/nar/gkn166

PubMed Abstract | CrossRef Full Text | Google Scholar

Koh, C. M., Bezzi, M., and Guccione, E. (2015). The where and the how of PRMT5. Curr. Mol. Biol. Rep. 1, 19–28. doi: 10.1007/s40610-015-0003-5

CrossRef Full Text | Google Scholar

Kojima, S., Shingle, D. L., and Green, C. B. (2011). Post-transcriptional control of circadian rhythms. J. Cell. Sci. 124, 311–320. doi: 10.1242/jcs.065771

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, J. Y., Nakane, Y., Koshikawa, N., Nakayama, K., Hayashi, M., and Takenaga, K. (2000). Characterization of a zinc finger protein ZAN75: nuclear localization signal, transcriptional activator activity, and expression during neuronal differentiation of P19 cells. DNA Cell Biol. 19, 227–234. doi: 10.1089/104454900314492

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, T., and Pelletier, J. (2016). The biology of DHX9 and its potential as a therapeutic target. Oncotarget 7, 42716–42739. doi: 10.18632/oncotarget.8446

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, W. J., He, Y. H., Yang, J. J., Hu, G. S., Lin, Y. A., Ran, T., et al. (2021). Profiling PRMT methylome reveals roles of hnRNPA1 arginine methylation in RNA splicing and cell growth. Nat. Commun. 12:1946. doi: 10.1038/s41467-021-21963-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, Z., Wen, C., Jiang, H., Ma, S., and Liu, X. (2021). Protein arginine methyltransferase 5 functions via interacting proteins. Front. Cell. Dev. Biol. 9:725301. doi: 10.3389/fcell.2021.725301

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, Y. M., Lee, G., Choi, Y. J., Lim, B. O., Kim, Y. J., et al. (2014). PRMT5 is essential for the eIF4E-mediated 5′-cap dependent translation. Biochem. Biophys. Res. Commun. 452, 1016–1021. doi: 10.1016/j.bbrc.2014.09.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Litt, M., Qiu, Y., and Huang, S. (2009). Histone arginine methylations: their roles in chromatin dynamics and transcriptional regulation. Biosci. Rep. 29, 131–141. doi: 10.1042/BSR20080176

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, F., Xu, Y., Lu, X., Hamard, P. J., Karl, D. L., Man, N., et al. (2020). PRMT5-mediated histone arginine methylation antagonizes transcriptional repression by polycomb complex PRC2. Nucleic Acids Res. 48, 2956–2968. doi: 10.1093/nar/gkaa065

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, J., Magri, L., Zhang, F., Marsh, N. O., Albrecht, S., Huynh, J. L., et al. (2015). Chromatin landscape defined by repressive histone methylation during oligodendrocyte differentiation. J. Neuroscience. 35, 352–365. doi: 10.1523/JNEUROSCI.2606-14.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, J., Moyon, S., Hernandez, M., and Casaccia, P. (2016). Epigenetic control of oligodendrocyte development: adding new players to old keepers. Curr. Opin. Neurobiol. 39, 133–138. doi: 10.1016/j.conb.2016.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Marin-Husstege, M., Muggironi, M., Liu, A., and Casaccia-Bonnefil, P. (2002). Histone deacetylase activity is necessary for oligodendrocyte lineage progression. J. Neurosci. 22, 10333–10345. doi: 10.1523/JNEUROSCI.22-23-10333.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

Meister, G., and Fischer, U. (2002). Assisted RNP assembly: SMN and PRMT5 complexes cooperate in the formation of spliceosomal UsnRNPs. EMBO J. 21, 5853–5863. doi: 10.1093/emboj/cdf585

PubMed Abstract | CrossRef Full Text | Google Scholar

Meister, G., Eggert, C., Bühler, D., Brahms, H., Kambach, C., and Fischer, U. (2001). Methylation of Sm proteins by a complex containing PRMT5 and the putative U snRNP assembly factor pICln. Curr. Biol. 11, 1990–1994. doi: 10.1016/S0960-9822(01)00592-9

CrossRef Full Text | Google Scholar

Moyon, S., Liang, J., and Casaccia, P. (2016). Epigenetics in NG2 glia cells. Brain Res. 1638, 183–198. doi: 10.1016/j.brainres.2015.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Mulvaney, K. M., Blomquist, C., Acharya, N., Li, R., Ranaghan, M. J., O’Keefe, M., et al. (2021). Molecular basis for substrate recruitment to the PRMT5 methylosome. Mol. Cell 81, 3481–3495.e7. doi: 10.1016/j.molcel.2021.07.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Musiani, D., Bok, J., Massignani, E., Wu, L., Tabaglio, T., Ippolito, M. R., et al. (2019). Proteomics profiling of arginine methylation defines PRMT5 substrate specificity. Sci. Signal. 12:eaat8388. doi: 10.1126/scisignal.aat8388

PubMed Abstract | CrossRef Full Text | Google Scholar

Pal, S., Vishwanath, S. N., Erdjument-Bromage, H., Tempst, P., and Sif, S. (2004). Human SWI/SNF-associated PRMT5 methylates histone H3 arginine 8 and negatively regulates expression of ST7 and NM23 tumor suppressor genes. Mol. Cell. Biol. 24, 9630–9645. doi: 10.1128/mcb.24.21.9630-9645.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Pastore, F., Bhagwat, N., Pastore, A., Radzisheuskaya, A., Karzai, A., Krishnan, A., et al. (2020). Prmt5 inhibition modulates e2f1 methylation and gene-regulatory networks leading to therapeutic efficacy in jak2v617f-mutant mpn. Cancer Discov. 10, 1742–1757. doi: 10.1158/2159-8290.CD-20-0026

PubMed Abstract | CrossRef Full Text | Google Scholar

Pesiridis, G. S., Diamond, E., and van Duyne, G. D. (2009). Role of pICLn in methylation of Sm proteins by PRMT5. J. Biol. Chem. 284, 21347–21359. doi: 10.1074/jbc.M109.015578

PubMed Abstract | CrossRef Full Text | Google Scholar

Pruvost, M., and Moyon, S. (2021). Oligodendroglial epigenetics, from lineage specification to activity-dependent myelination. Life (Basel) 11:62. doi: 10.3390/life11010062

PubMed Abstract | CrossRef Full Text | Google Scholar

Qian, M., Sleat, D. E., Zheng, H., Moore, D., and Lobel, P. (2008). Proteomics analysis of serum from mutant mice reveals lysosomal proteins selectively transported by each of the two mannose 6-phosphate receptors. Mol. Cell. Proteomics 7, 58–70. doi: 10.1074/mcp.M700217-MCP200

PubMed Abstract | CrossRef Full Text | Google Scholar

Radzisheuskaya, A., Shliaha, P. V., Grinev, V., Lorenzini, E., Kovalchuk, S., Shlyueva, D., et al. (2019). PRMT5 methylome profiling uncovers a direct link to splicing regulation in acute myeloid leukemia. Nat. Struct. Mol. Biol. 26, 999–1012. doi: 10.1038/s41594-019-0313-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Rappsilber, J., Mann, M., and Ishihama, Y. (2007). Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nat. Protoc. 2, 1896–1906. doi: 10.1038/nprot.2007.261

PubMed Abstract | CrossRef Full Text | Google Scholar

Ren, J., Wang, Y., Liang, Y., Zhang, Y., Bao, S., and Xu, Z. (2010). Methylation of ribosomal protein S10 by protein-arginine methyltransferase 5 regulates ribosome biogenesis. J. Biol. Chem. 285, 12695–12705. doi: 10.1074/jbc.M110.103911

PubMed Abstract | CrossRef Full Text | Google Scholar

Rengasamy, M., Zhang, F., Vashisht, A., Song, W. M., Aguilo, F., Sun, Y., et al. (2017). The PRMT5/WDR77 complex regulates alternative splicing through ZNF326 in breast cancer. Nucleic Acids Res. 45, 11106–11120. doi: 10.1093/nar/gkx727

PubMed Abstract | CrossRef Full Text | Google Scholar

Rozan, L. M., and El-Deiry, W. S. (2006). Identification and characterization of proteins interacting with Traf4, an enigmatic p53 target. Cancer Biol. Ther. 5, 1228–1235. doi: 10.4161/cbt.5.9.3295

PubMed Abstract | CrossRef Full Text | Google Scholar

Sasaki, S., Mori, D., Toyo-oka, K., Chen, A., Garrett-Beal, L., Muramatsu, M., et al. (2005). Complete Loss of Ndel1 results in neuronal migration defects and early embryonic lethality. Mol. Cell. Biol. 25, 7812–7827. doi: 10.1128/mcb.25.17.7812-7827.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Scaglione, A., Patzig, J., Liang, J., Frawley, R., Bok, J., Mela, A., et al. (2018). PRMT5-mediated regulation of developmental myelination. Nat. Commun. 9:2840. doi: 10.1038/s41467-018-04863-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., et al. (2014). Genome-scale CRISPR-Cas9 knockout screening in human cells. Science 343, 84–87. doi: 10.1126/science.1247005

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharma, K., Schmitt, S., Bergner, C. G., Tyanova, S., Kannaiyan, N., Manrique-Hoyos, N., et al. (2015). Cell type- and brain region-resolved mouse brain proteome. Nat. Neurosci. 18, 1819–1831. doi: 10.1038/nn.4160

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, S., Li, J., and Casaccia-Bonnefil, P. (2005). Histone modifications affect timing of oligodendrocyte progenitor differentiation in the developing rat brain. J. Cell Biol. 169, 577–589. doi: 10.1083/jcb.200412101

PubMed Abstract | CrossRef Full Text | Google Scholar

Shevchenko, A., Wilm, M., Vorm, O., and Mann, M. (1996). Mass spectrometric sequencing of proteins from silver-stained polyacrylamide gels. Anal. Chem. 68, 850–858. doi: 10.1021/ac950914h

PubMed Abstract | CrossRef Full Text | Google Scholar

Sleat, D. E., Sun, P., Wiseman, J. A., Huang, L., El-Banna, M., Zheng, H., et al. (2013). Extending the mannose 6-phosphate glycoproteome by high resolution/accuracy mass spectrometry analysis of control and acid phosphatase 5-deficient mice. Mol. Cell. Proteomics 12, 1806–1817. doi: 10.1074/mcp.M112.026179

PubMed Abstract | CrossRef Full Text | Google Scholar

Sleat, D. E., Tannous, A., Sohar, I., Wiseman, J. A., Zheng, H., Qian, M., et al. (2017). Proteomic analysis of brain and cerebrospinal fluid from the three major forms of neuronal ceroid lipofuscinosis reveals potential biomarkers. J. Proteome Res. 16, 3787–3804. doi: 10.1021/acs.jproteome.7b00460

PubMed Abstract | CrossRef Full Text | Google Scholar

Sleat, D. E., Valle, M. C. D., Zheng, H., Moore, D. F., and Lobel, P. (2008). The mannose 6-phosphate glycoprotein proteome. J. Proteome Res. 7, 3010–3021. doi: 10.1021/pr800135v

PubMed Abstract | CrossRef Full Text | Google Scholar

Sleat, D. E., Wiseman, J. A., El-Banna, M., Zheng, H., Zhao, C., Soherwardy, A., et al. (2019). Analysis of brain and cerebrospinal fluid from mouse models of the three major forms of neuronal ceroid lipofuscinosis reveals changes in the lysosomal proteome. Mol. Cell. Proteomics 18, 2244–2261. doi: 10.1074/mcp.RA119.001587

PubMed Abstract | CrossRef Full Text | Google Scholar

Su, L., Xia, W., Shen, T., Liang, Q., Wang, W., Li, H., et al. (2018). H2A.Z.1 crosstalk with H3K56-acetylation controls gliogenesis through the transcription of folate receptor. Nucleic Acids Res. 46, 8817–8831. doi: 10.1093/nar/gky585

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanaka, Y., Nagai, Y., Okumura, M., Greene, M. I., and Kambayashi, T. (2020). PRMT5 is required for T cell survival and proliferation by maintaining cytokine signaling. Front. Immunol. 11:621. doi: 10.3389/fimmu.2020.00621

PubMed Abstract | CrossRef Full Text | Google Scholar

Tasic, B., Menon, V., Nguyen, T. N., Kim, T. K., Jarsky, T., Yao, Z., et al. (2016). Adult mouse cortical cell taxonomy revealed by single cell transcriptomics. Nat. Neurosci. 19, 335–346. doi: 10.1038/nn.4216

PubMed Abstract | CrossRef Full Text | Google Scholar

Tewary, S. K., Zheng, Y. G., and Ho, M. C. (2019). Protein arginine methyltransferases: insights into the enzyme structure and mechanism at the atomic level. Cell. Mol. Life Sci. 76, 2917–2932. doi: 10.1007/s00018-019-03145-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Thandapani, P., O’Connor, T. R., Bailey, T. L., and Richard, S. (2013). Defining the RGG/RG Motif. Mol. Cell 50, 613–623. doi: 10.1016/j.molcel.2013.05.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, H., Huang, Z. Q., Xia, L., Feng, Q., Erdjument-Bromage, H., Strahl, B. D., et al. (2001). Methylation of histone H4 at arginine 3 facilitating transcriptional activation by nuclear hormone receptor. Science 293, 853–857. doi: 10.1126/science.1060781

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, R., Li, A., Sun, B., Sun, J. G., Zhang, J., Zhang, T., et al. (2019). A novel m6A reader Prrc2a controls oligodendroglial specification and myelination. Cell Res. 29, 23–41. doi: 10.1038/s41422-018-0113-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, F., Wang, J., Ren, H. Y., Jin, J., Wang, A. L., Sun, L. L., et al. (2015). Proliferative role of TRAF4 in breast cancer by upregulating PRMT5 nuclear expression. Tumour Biol. 36, 5901–5911. doi: 10.1007/s13277-015-3262-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Y., Hadjikyriacou, A., Xia, Z., Gayatri, S., Kim, D., Zurita-Lopez, C., et al. (2015). PRMT9 is a Type II methyltransferase that methylates the splicing factor SAP145. Nat. Commun. 6:6428. doi: 10.1038/ncomms7428

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, X., Wang, M., Wu, J., Han, Q., and Zhang, X. (2019). ZNF326 promotes malignant phenotype of glioma by up-regulating HDAC7 expression and activating Wnt pathway. J. Exp. Clin. Cancer Res. 38:40. doi: 10.1186/s13046-019-1031-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeisel, A., Muñoz-Manchado, A. B., Codeluppi, S., Lönnerberg, P., La Manno, G., Juréus, A., et al. (2015). Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq. Science 347, 1138–1142. doi: 10.1126/science.aaa1934

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Chen, K., Sloan, S. A., Bennett, M. L., Scholze, A. R., O’Keeffe, S., et al. (2014). An RNA-sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex. J. Neurosci. 34, 11929–11947. doi: 10.1523/JNEUROSCI.1860-14.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

Zurita-Lopez, C. I., Sandberg, T., Kelly, R., and Clarke, S. G. (2012). Human protein arginine methyltransferase 7 (PRMT7) is a type III enzyme forming ω-N G-monomethylated arginine residues. J. Biol. Chem. 287, 7859–7870. doi: 10.1074/jbc.M111.336271

PubMed Abstract | CrossRef Full Text | Google Scholar