ArticleEpigenetics & chromatin2011
A proteomic approach for the identification of novel lysine methyltransferase substrates.
Article in Epigenetics & chromatin, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 69 citations in OpenAlex.
- Review
- Machine learning-driven prediction of substrates for enzymes introducing or removing protein post-translational modifications.Communications chemistry · 2025Article
- Uncovering Enzyme-Specific Post-Translational Modifications: An Overview of Current Methods.Proteomes · 2025Review
- DynamicJournal of the American Chemical Society · 2025Article
- Orchestrating epigenetics: a comprehensive review of the methyltransferase SETD6.Experimental & molecular medicine · 2025Review
- Enrichment of histone tail methylated lysine residuesChemical science · 2024Article
- SMYD3 Impedes Small Cell Lung Cancer Sensitivity to Alkylation Damage through RNF113A Methylation-Phosphorylation Cross-talk.Cancer discovery · 2022Article
- SETD4-mediated KU70 methylation suppresses apoptosis.Cell reports · 2022Article
- Mechanistic Insights into the Allosteric Regulation of the Clr4 Protein Lysine Methyltransferase by Autoinhibition and Automethylation.International journal of molecular sciences · 2020Article
- Deletion of Mouse Setd4 Promotes the Recovery of Hematopoietic Failure.International journal of radiation oncology, biology, physics · 2020Article
- Loss of Setd4 delays radiation-induced thymic lymphoma in mice.DNA repair · 2020Article
- Lysine Methylation Regulators Moonlighting outside the Epigenome.Molecular cell · 2019Review
- Lysine methylation signaling of non-histone proteins in the nucleus.Cellular and molecular life sciences : CMLS · 2019Review
- The methyltransferase SETD6 regulates Mitotic progression through PLK1 methylation.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Quantitative analysis of global protein lysine methylation by mass spectrometry.Methods in enzymology · 2019Article
- Article
- The winding path of protein methylation research: milestones and new frontiers.Nature reviews. Molecular cell biology · 2017Review
- Identifying Unknown Enzyme-Substrate Pairs from the Cellular Milieu with Native Mass Spectrometry.Chembiochem : a European journal of chemical biology · 2017Article
- Chromatin associated SETD3 negatively regulates VEGF expression.Scientific reports · 2016Article
- Mechanisms of Nucleosome Dynamics In Vivo.Cold Spring Harbor perspectives in medicine · 2016Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundSignaling via protein lysine methylation has been proposed to play a central role in the regulation of many physiologic and pathologic programs. In contrast to other post-translational modifications such as phosphorylation, proteome-wide approaches to investigate lysine methylation networks do not exist.
resultsIn the current study, we used the ProtoArray® platform, containing over 9,500 human proteins, and developed and optimized a system for proteome-wide identification of novel methylation events catalyzed by the protein lysine methyltransferase (PKMT) SETD6. This enzyme had previously been shown to methylate the transcription factor RelA, but it was not known whether SETD6 had other substrates. By using two independent detection approaches, we identified novel candidate substrates for SETD6, and verified that all targets tested in vitro and in cells were genuine substrates.
conclusionsWe describe a novel proteome-wide methodology for the identification of new PKMT substrates. This technological advance may lead to a better understanding of the enzymatic activity and substrate specificity of the large number (more than 50) PKMTs present in the human proteome, most of which are uncharacterized.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.