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Chemical Depletion of Histidine-Containing Peptides Allows Identification of More Low-Abundance Methylation Sites from Proteome Samples. | LitMetric

Chemical Depletion of Histidine-Containing Peptides Allows Identification of More Low-Abundance Methylation Sites from Proteome Samples.

J Proteome Res

CAS Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.

Published: May 2021

AI Article Synopsis

  • Protein methylation, particularly on arginine and lysine, plays a key role in various cellular functions, and studying it helps understand its regulatory mechanisms.
  • A new chemical strategy was developed to effectively remove interfering histidine-containing peptides during protein analysis, allowing for better detection of low-abundance methylpeptides.
  • As a result, the study identified 333 methylation forms from 207 proteins, increasing identification by about 50%, with data accessible through ProteomeXchange (identifier PXD023845).

Article Abstract

Protein methylation, especially that occurs on arginine and lysine residues, is one of the most important post-translational modifications involved in various cellular processes including RNA splicing, DNA repair, and so forth. Systematic analysis of protein methylation would facilitate the understanding of its regulatory mechanisms. Strong cation chromatography has been used to globally analyze arginine/lysine methylation at the proteome scale with good performance. However, the co-enriched histidine-containing peptides severely interfere with the detection of low-abundance methylpeptides. Here, we developed a novel chemical strategy which enabled almost complete depletion of histidine-containing peptides in the protein digest, thereby resulting in the identification of more low-abundance arginine/lysine methylpeptides. Totally, 333 arginine and lysine methylation forms from 207 proteins were identified in this study. Overall, the number of methylation identifications increased about 50% by using our new method. Data are available via ProteomeXchange with the identifier PXD023845.

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Source
http://dx.doi.org/10.1021/acs.jproteome.0c00976DOI Listing

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