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A functional proteomics platform to reveal the sequence determinants of lysine methyltransferase substrate selectivity
Lysine methylation is a key regulator of histone protein function. Beyond histones, few connections have been made to the enzymes responsible for the deposition of these posttranslational modifications. Here, we debut a high-throughput functional proteomics platform that maps the sequence determinan...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261651/ https://www.ncbi.nlm.nih.gov/pubmed/30498785 http://dx.doi.org/10.1126/sciadv.aav2623 |
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author | Cornett, Evan M. Dickson, Bradley M. Krajewski, Krzysztof Spellmon, Nicholas Umstead, Andrew Vaughan, Robert M. Shaw, Kevin M. Versluis, Philip P. Cowles, Martis W. Brunzelle, Joseph Yang, Zhe Vega, Irving E. Sun, Zu-Wen Rothbart, Scott B. |
author_facet | Cornett, Evan M. Dickson, Bradley M. Krajewski, Krzysztof Spellmon, Nicholas Umstead, Andrew Vaughan, Robert M. Shaw, Kevin M. Versluis, Philip P. Cowles, Martis W. Brunzelle, Joseph Yang, Zhe Vega, Irving E. Sun, Zu-Wen Rothbart, Scott B. |
author_sort | Cornett, Evan M. |
collection | PubMed |
description | Lysine methylation is a key regulator of histone protein function. Beyond histones, few connections have been made to the enzymes responsible for the deposition of these posttranslational modifications. Here, we debut a high-throughput functional proteomics platform that maps the sequence determinants of lysine methyltransferase (KMT) substrate selectivity without a priori knowledge of a substrate or target proteome. We demonstrate the predictive power of this approach for identifying KMT substrates, generating scaffolds for inhibitor design, and predicting the impact of missense mutations on lysine methylation signaling. By comparing KMT selectivity profiles to available lysine methylome datasets, we reveal a disconnect between preferred KMT substrates and the ability to detect these motifs using standard mass spectrometry pipelines. Collectively, our studies validate the use of this platform for guiding the study of lysine methylation signaling and suggest that substantial gaps exist in proteome-wide curation of lysine methylomes. |
format | Online Article Text |
id | pubmed-6261651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62616512018-11-29 A functional proteomics platform to reveal the sequence determinants of lysine methyltransferase substrate selectivity Cornett, Evan M. Dickson, Bradley M. Krajewski, Krzysztof Spellmon, Nicholas Umstead, Andrew Vaughan, Robert M. Shaw, Kevin M. Versluis, Philip P. Cowles, Martis W. Brunzelle, Joseph Yang, Zhe Vega, Irving E. Sun, Zu-Wen Rothbart, Scott B. Sci Adv Research Articles Lysine methylation is a key regulator of histone protein function. Beyond histones, few connections have been made to the enzymes responsible for the deposition of these posttranslational modifications. Here, we debut a high-throughput functional proteomics platform that maps the sequence determinants of lysine methyltransferase (KMT) substrate selectivity without a priori knowledge of a substrate or target proteome. We demonstrate the predictive power of this approach for identifying KMT substrates, generating scaffolds for inhibitor design, and predicting the impact of missense mutations on lysine methylation signaling. By comparing KMT selectivity profiles to available lysine methylome datasets, we reveal a disconnect between preferred KMT substrates and the ability to detect these motifs using standard mass spectrometry pipelines. Collectively, our studies validate the use of this platform for guiding the study of lysine methylation signaling and suggest that substantial gaps exist in proteome-wide curation of lysine methylomes. American Association for the Advancement of Science 2018-11-28 /pmc/articles/PMC6261651/ /pubmed/30498785 http://dx.doi.org/10.1126/sciadv.aav2623 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Cornett, Evan M. Dickson, Bradley M. Krajewski, Krzysztof Spellmon, Nicholas Umstead, Andrew Vaughan, Robert M. Shaw, Kevin M. Versluis, Philip P. Cowles, Martis W. Brunzelle, Joseph Yang, Zhe Vega, Irving E. Sun, Zu-Wen Rothbart, Scott B. A functional proteomics platform to reveal the sequence determinants of lysine methyltransferase substrate selectivity |
title | A functional proteomics platform to reveal the sequence determinants of lysine methyltransferase substrate selectivity |
title_full | A functional proteomics platform to reveal the sequence determinants of lysine methyltransferase substrate selectivity |
title_fullStr | A functional proteomics platform to reveal the sequence determinants of lysine methyltransferase substrate selectivity |
title_full_unstemmed | A functional proteomics platform to reveal the sequence determinants of lysine methyltransferase substrate selectivity |
title_short | A functional proteomics platform to reveal the sequence determinants of lysine methyltransferase substrate selectivity |
title_sort | functional proteomics platform to reveal the sequence determinants of lysine methyltransferase substrate selectivity |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261651/ https://www.ncbi.nlm.nih.gov/pubmed/30498785 http://dx.doi.org/10.1126/sciadv.aav2623 |
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