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Multi-omic stratification of the missense variant cysteinome

Cancer genomes are rife with genetic variants; one key outcome of this variation is gain-ofcysteine, which is the most frequently acquired amino acid due to missense variants in COSMIC. Acquired cysteines are both driver mutations and sites targeted by precision therapies. However, despite their ubi...

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Autores principales: Desai, Heta, Ofori, Samuel, Boatner, Lisa, Yu, Fengchao, Villanueva, Miranda, Ung, Nicholas, Nesvizhskii, Alexey I., Backus, Keriann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461992/
https://www.ncbi.nlm.nih.gov/pubmed/37645963
http://dx.doi.org/10.1101/2023.08.12.553095
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author Desai, Heta
Ofori, Samuel
Boatner, Lisa
Yu, Fengchao
Villanueva, Miranda
Ung, Nicholas
Nesvizhskii, Alexey I.
Backus, Keriann
author_facet Desai, Heta
Ofori, Samuel
Boatner, Lisa
Yu, Fengchao
Villanueva, Miranda
Ung, Nicholas
Nesvizhskii, Alexey I.
Backus, Keriann
author_sort Desai, Heta
collection PubMed
description Cancer genomes are rife with genetic variants; one key outcome of this variation is gain-ofcysteine, which is the most frequently acquired amino acid due to missense variants in COSMIC. Acquired cysteines are both driver mutations and sites targeted by precision therapies. However, despite their ubiquity, nearly all acquired cysteines remain uncharacterized. Here, we pair cysteine chemoproteomics—a technique that enables proteome-wide pinpointing of functional, redox sensitive, and potentially druggable residues—with genomics to reveal the hidden landscape of cysteine acquisition. For both cancer and healthy genomes, we find that cysteine acquisition is a ubiquitous consequence of genetic variation that is further elevated in the context of decreased DNA repair. Our chemoproteogenomics platform integrates chemoproteomic, whole exome, and RNA-seq data, with a customized 2-stage false discovery rate (FDR) error controlled proteomic search, further enhanced with a user-friendly FragPipe interface. Integration of CADD predictions of deleteriousness revealed marked enrichment for likely damaging variants that result in acquisition of cysteine. By deploying chemoproteogenomics across eleven cell lines, we identify 116 gain-of-cysteines, of which 10 were liganded by electrophilic druglike molecules. Reference cysteines proximal to missense variants were also found to be pervasive, 791 in total, supporting heretofore untapped opportunities for proteoform-specific chemical probe development campaigns. As chemoproteogenomics is further distinguished by sample-matched combinatorial variant databases and compatible with redox proteomics and small molecule screening, we expect widespread utility in guiding proteoform-specific biology and therapeutic discovery.
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spelling pubmed-104619922023-08-29 Multi-omic stratification of the missense variant cysteinome Desai, Heta Ofori, Samuel Boatner, Lisa Yu, Fengchao Villanueva, Miranda Ung, Nicholas Nesvizhskii, Alexey I. Backus, Keriann bioRxiv Article Cancer genomes are rife with genetic variants; one key outcome of this variation is gain-ofcysteine, which is the most frequently acquired amino acid due to missense variants in COSMIC. Acquired cysteines are both driver mutations and sites targeted by precision therapies. However, despite their ubiquity, nearly all acquired cysteines remain uncharacterized. Here, we pair cysteine chemoproteomics—a technique that enables proteome-wide pinpointing of functional, redox sensitive, and potentially druggable residues—with genomics to reveal the hidden landscape of cysteine acquisition. For both cancer and healthy genomes, we find that cysteine acquisition is a ubiquitous consequence of genetic variation that is further elevated in the context of decreased DNA repair. Our chemoproteogenomics platform integrates chemoproteomic, whole exome, and RNA-seq data, with a customized 2-stage false discovery rate (FDR) error controlled proteomic search, further enhanced with a user-friendly FragPipe interface. Integration of CADD predictions of deleteriousness revealed marked enrichment for likely damaging variants that result in acquisition of cysteine. By deploying chemoproteogenomics across eleven cell lines, we identify 116 gain-of-cysteines, of which 10 were liganded by electrophilic druglike molecules. Reference cysteines proximal to missense variants were also found to be pervasive, 791 in total, supporting heretofore untapped opportunities for proteoform-specific chemical probe development campaigns. As chemoproteogenomics is further distinguished by sample-matched combinatorial variant databases and compatible with redox proteomics and small molecule screening, we expect widespread utility in guiding proteoform-specific biology and therapeutic discovery. Cold Spring Harbor Laboratory 2023-08-14 /pmc/articles/PMC10461992/ /pubmed/37645963 http://dx.doi.org/10.1101/2023.08.12.553095 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Desai, Heta
Ofori, Samuel
Boatner, Lisa
Yu, Fengchao
Villanueva, Miranda
Ung, Nicholas
Nesvizhskii, Alexey I.
Backus, Keriann
Multi-omic stratification of the missense variant cysteinome
title Multi-omic stratification of the missense variant cysteinome
title_full Multi-omic stratification of the missense variant cysteinome
title_fullStr Multi-omic stratification of the missense variant cysteinome
title_full_unstemmed Multi-omic stratification of the missense variant cysteinome
title_short Multi-omic stratification of the missense variant cysteinome
title_sort multi-omic stratification of the missense variant cysteinome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461992/
https://www.ncbi.nlm.nih.gov/pubmed/37645963
http://dx.doi.org/10.1101/2023.08.12.553095
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