Proteomics

Dataset Information

0

A novel strategy of profiling protein methylation on lysine and arginine


ABSTRACT: 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.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Zhibin Ning  

LAB HEAD: Daniel Figeys

PROVIDER: PXD001689 | Pride | 2016-08-16

REPOSITORIES: Pride

altmetric image

Publications

A charge-suppressing strategy for probing protein methylation.

Ning Zhibin Z   Star Alexandra Therese AT   Mierzwa Anna A   Lanouette Sylvain S   Mayne Janice J   Couture Jean-Francois JF   Figeys Daniel D  

Chemical communications (Cambridge, England) 20160401 31


Methylation of arginine and lysine (RK) residues play essential roles in epigenetics and the regulation of gene expression. However, research in this area is often hindered by the lack of effective tools for probing the protein methylation. Here, we present an antibody-free strategy to capture protein methylation on RK residues by using chemical reactions to eliminate the charges on un-modified RK residues and peptide N-termini. Peptides containing methylated RK residues remain positively charge  ...[more]

Similar Datasets

2022-04-04 | PXD028269 | Pride
2024-01-11 | PXD039441 | Pride
2021-08-26 | PXD027150 | Pride
2021-03-08 | PXD023845 | Pride
2016-09-30 | PXD003700 | Pride
2021-01-27 | PXD022424 | Pride
2019-04-18 | PXD012217 | Pride
2019-11-22 | PXD000520 | Pride
2023-03-11 | PXD023985 | Pride
2010-09-15 | E-GEOD-6316 | biostudies-arrayexpress