Protein arginine methylation in Trypanosomes
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA610785 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11250083_1.fastq.gz | Fastqsanger.gz | |||
| SRR11250083_2.fastq.gz | Fastqsanger.gz | |||
| SRR11250084_1.fastq.gz | Fastqsanger.gz | |||
| SRR11250084_2.fastq.gz | Fastqsanger.gz | |||
| SRR11250085_1.fastq.gz | Fastqsanger.gz |
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Project description:Protein methylation is involved in different processes including gene expression regulation, epigenetics, and nucleotide metabolism. Identification of methylated proteins is difficult as methyl groups are small, and do not introduce significant changes in protein hydrophobicity or charge state. The most effective analytical method to date is relative enrichment by pan-specific antibodies and methylation specific binding domains. Here, we present a novel and unbiased chemical strategy to enrich and identify sites of lysine and arginine methylations. This approach makes use of the property that methylation does not alter the charge state of lysine and arginine. This approach revealed over 793 methylation events including 211 arginine and 585 lysine methylation sites in HEK 293 Cells. This strategy proves to be convenient, effective and versatile, with the potential of analyzing other PTMs on both lysine and arginine.
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Project description:Alternative polyadenylation (APA) has recently been recognized as a universal mechanism for gene regulation, but it remains unclear how APA is controlled. Here we report that the Arabidopsis thaliana Protein Arginine Methyltransferase 10 (AtPRMT10) regulates global APA with its protein partner HLP1, a conserved hnRNP A/B protein. HLP1 binds preferentially to A-rich and U-rich cis-elements around polyadenylation sites, thereby linking AtPRMT10 to the control of APA through protein-protein interactions. AtPRMT10 mutations cause significant proximal-to-distal poly(A) site shifts largely overlapping with those in hlp1-1 mutants. Proximal polyadenylation is maintained by AtPRMT10-directed methylation and is mediated in part by methylation of HLP1 at specific arginine residues. Our findings demonstrate that arginine methylation of an RNA-binding protein adds a novel layer of regulation to widespread alternative polyadenylation.
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Project description:The covalent attachment of methyl groups to the side-chain of arginine residues is known to play essential roles in regulation of transcription, protein function and RNA metabolism. The specific N-methylation of arginine residues is catalyzed by a small family of gene products known as protein arginine methyltransferases; however, very little is known about which arginine residues become methylated on target substrates. Here we describe an unbiased methodology that combines single-step immunoenrichment of methylated peptides with high-resolution mass spectrometry to identify endogenous arginine mono-methylation (MMA) sites. We thereby identify 1,027 site-specific MMA sites on 494 human proteins, discovering numerous novel mono-methylation targets and confirming the majority of currently known MMA substrates. Nuclear RNA-binding proteins involved in RNA processing, RNA localization, transcription, and chromatin remodeling are prominently found modified with MMA. Despite this, MMA sites prominently are located outside RNA-binding domains as compared to the proteome-wide distribution of arginine residues. Quantification of arginine methylation in cells treated with Actinomycin D uncovers strong site-specific regulation of MMA sites during transcriptional arrest. Interestingly, several MMA sites are down-regulated after a few hours of under transcriptional arrest. In contrast, the corresponding di-methylation or protein expression level is not altered in expression, confirming that MMA sites contain regulated functions on their own. Collectively, we present a site-specific MMA dataset in human cells and demonstrate for the first time that MMA is a dynamic post-translational modification regulated during transcriptional arrest by a hitherto uncharacterized arginine demethylase. Data analysis: All raw data analysis was performed with MaxQuant software suite version 1.2.6.20 supported by the Andromeda search engine. Data was searched against a concatenated target/decoy (forward and reversed) version of the UniProtKB Human database encompassing 71,434 protein entries. Mass tolerance for searches was set to maximum 7 ppm for peptide masses and 20 ppm for HCD fragment ion masses. Data was searched with carbamidomethylation as a fixed modification and protein N-terminal acetylation, methionine oxidation and mono-methylation on lysine and arginine as variable modifications. A maximum of three mis-cleavages was allowed while requiring strict trypsin specificity, and only peptides with a minimum sequence length of seven were considered for further data analysis. Peptide assignments were statistically evaluated in a Bayesian model on the basis of sequence length and Andromeda score. Only peptides and proteins with a false discovery rate (FDR) of less than 1% were accepted, estimated on the basis of the number of accepted reverse hits. Protein sequences of common contaminants such as human keratins and proteases used were added to the database.
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Project description:Arginine methylation, Cob1. Wenya Hou et al Jena University Hospital
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Project description:Protein arginine methylation, catalyzed by the protein arginine methyltransferase (PRMT) family, is recognized as a widespread post-translational modification (PTM) with implications in a plethora of biological processes in eukaryotes. PRMT proteins were classified into three types, type I, II and III, according to the final methyl-arginine products generated. Despite that thousands of substrates have been identified for Type I and II PRMTs, a full scope of arginine methylation catalyzed by the only type III PRMT, PRMT7, as well as its connection with that of type I and II PRMTs remain unknown, limiting our understanding of the network of arginine methylation and its functions in cells. In this study, global profiling of PRMT4 (type I), PRMT5 (type II) and PRMT7 (type III) substrates (also referred as methylome) revealed that PRMT7 methylated a GAR (glycine and arginine) motif similar as PRMT5, while PRMT4 uniquely methylated a motif in which proline was highly enriched. PRMT4, 5 and 7-methylome were all enriched with proteins functioning in mRNA splicing.
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