Pan-cancer proteogenomic investigations identify post-transcriptional kinase targets

Elmas et al. develop an algorithm, OPPTI, to identify overexpressed kinase proteins across 10 cancer types using global mass spectrometry proteomics data from over 1000 cases. They reveal that protein-level aberrations, which are sometimes not observed using genomics, represent cancer vulnerabilitie...

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Autores principales:	Abdulkadir Elmas, Serena Tharakan, Suraj Jaladanki, Matthew D. Galsky, Tao Liu, Kuan-lin Huang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/5dd05a2677074ae39b5bc5377823049c
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spelling	oai:doaj.org-article:5dd05a2677074ae39b5bc5377823049c2021-12-02T15:15:04ZPan-cancer proteogenomic investigations identify post-transcriptional kinase targets10.1038/s42003-021-02636-72399-3642https://doaj.org/article/5dd05a2677074ae39b5bc5377823049c2021-09-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02636-7https://doaj.org/toc/2399-3642Elmas et al. develop an algorithm, OPPTI, to identify overexpressed kinase proteins across 10 cancer types using global mass spectrometry proteomics data from over 1000 cases. They reveal that protein-level aberrations, which are sometimes not observed using genomics, represent cancer vulnerabilities that may be targeted in precision oncology.Abdulkadir ElmasSerena TharakanSuraj JaladankiMatthew D. GalskyTao LiuKuan-lin HuangNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Abdulkadir Elmas Serena Tharakan Suraj Jaladanki Matthew D. Galsky Tao Liu Kuan-lin Huang Pan-cancer proteogenomic investigations identify post-transcriptional kinase targets
description	Elmas et al. develop an algorithm, OPPTI, to identify overexpressed kinase proteins across 10 cancer types using global mass spectrometry proteomics data from over 1000 cases. They reveal that protein-level aberrations, which are sometimes not observed using genomics, represent cancer vulnerabilities that may be targeted in precision oncology.
format	article
author	Abdulkadir Elmas Serena Tharakan Suraj Jaladanki Matthew D. Galsky Tao Liu Kuan-lin Huang
author_facet	Abdulkadir Elmas Serena Tharakan Suraj Jaladanki Matthew D. Galsky Tao Liu Kuan-lin Huang
author_sort	Abdulkadir Elmas
title	Pan-cancer proteogenomic investigations identify post-transcriptional kinase targets
title_short	Pan-cancer proteogenomic investigations identify post-transcriptional kinase targets
title_full	Pan-cancer proteogenomic investigations identify post-transcriptional kinase targets
title_fullStr	Pan-cancer proteogenomic investigations identify post-transcriptional kinase targets
title_full_unstemmed	Pan-cancer proteogenomic investigations identify post-transcriptional kinase targets
title_sort	pan-cancer proteogenomic investigations identify post-transcriptional kinase targets
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/5dd05a2677074ae39b5bc5377823049c
work_keys_str_mv	AT abdulkadirelmas pancancerproteogenomicinvestigationsidentifyposttranscriptionalkinasetargets AT serenatharakan pancancerproteogenomicinvestigationsidentifyposttranscriptionalkinasetargets AT surajjaladanki pancancerproteogenomicinvestigationsidentifyposttranscriptionalkinasetargets AT matthewdgalsky pancancerproteogenomicinvestigationsidentifyposttranscriptionalkinasetargets AT taoliu pancancerproteogenomicinvestigationsidentifyposttranscriptionalkinasetargets AT kuanlinhuang pancancerproteogenomicinvestigationsidentifyposttranscriptionalkinasetargets
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Pan-cancer proteogenomic investigations identify post-transcriptional kinase targets

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