AI Article Synopsis

  • Protein methylation is a key post-translational modification that adds methyl groups to lysine and arginine residues in proteins, influencing various biological processes.
  • Despite significant interest, a comprehensive understanding of protein methylation remains incomplete, particularly beyond histone proteins.
  • A new study utilized heavy methyl stable isotope labelling combined with high-resolution mass spectrometry to identify 501 different methylation types across 397 distinct sites on 139 proteins, highlighting their roles in gene expression and offering insights into quantifying methylation levels across different cellular states.

Article Abstract

Protein methylation is a post-translational modification (PTM) by which a variable number of methyl groups are transferred to lysine and arginine residues within proteins. Despite increased interest in this modification due to its reversible nature and its emerging role in a diverse set of biological pathways beyond chromatin, global identification of protein methylation has remained an unachieved goal. To characterise sites of lysine and arginine methylation beyond histones, we employed an approach that combines heavy methyl stable isotope labelling by amino acids in cell culture (hmSILAC) with high-resolution mass spectrometry-based proteomics. Through a broad evaluation of immuno-affinity enrichment and the application of two classical protein separation techniques prior to mass spectrometry, to nucleosolic and cytosolic fractions separately, we identified a total of 501 different methylation types, on 397 distinct lysine and arginine sites, present on 139 unique proteins. Our results considerably extend the number of known in vivo methylation sites and indicate their significant presence on several protein complexes involved at all stages of gene expression, from chromatin remodelling and transcription to splicing and translation. In addition, we describe the potential of the hmSILAC approach for accurate relative quantification of methylation levels between distinct functional states.

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Source
http://dx.doi.org/10.1039/c3mb00009eDOI Listing

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