Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes

Diseases can be associated with various mutations of the same gene, but the molecular consequences of specific mutations remain incompletely understood. Here, the authors present an integrated proteomic workflow to determine the molecular response of cells to different cancer-associated mutations of...

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Main Authors:	Martin Mehnert, Rodolfo Ciuffa, Fabian Frommelt, Federico Uliana, Audrey van Drogen, Kilian Ruminski, Matthias Gstaiger, Ruedi Aebersold
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-07-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-020-17387-y

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spelling	doaj-5284796b9f7e4306aca01803fd9b21992021-07-18T11:45:01ZengNature Publishing GroupNature Communications2041-17232020-07-0111111810.1038/s41467-020-17387-yMulti-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexesMartin Mehnert0Rodolfo Ciuffa1Fabian Frommelt2Federico Uliana3Audrey van Drogen4Kilian Ruminski5Matthias Gstaiger6Ruedi Aebersold7Department of Biology, Institute of Molecular Systems BiologyDepartment of Biology, Institute of Molecular Systems BiologyDepartment of Biology, Institute of Molecular Systems BiologyDepartment of Biology, Institute of Molecular Systems BiologyDepartment of Biology, Institute of Molecular Systems BiologyDepartment of Biology, Institute of Molecular Systems BiologyDepartment of Biology, Institute of Molecular Systems BiologyDepartment of Biology, Institute of Molecular Systems BiologyDiseases can be associated with various mutations of the same gene, but the molecular consequences of specific mutations remain incompletely understood. Here, the authors present an integrated proteomic workflow to determine the molecular response of cells to different cancer-associated mutations of the kinase Dyrk2.https://doi.org/10.1038/s41467-020-17387-y
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Martin Mehnert Rodolfo Ciuffa Fabian Frommelt Federico Uliana Audrey van Drogen Kilian Ruminski Matthias Gstaiger Ruedi Aebersold
spellingShingle	Martin Mehnert Rodolfo Ciuffa Fabian Frommelt Federico Uliana Audrey van Drogen Kilian Ruminski Matthias Gstaiger Ruedi Aebersold Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes Nature Communications
author_facet	Martin Mehnert Rodolfo Ciuffa Fabian Frommelt Federico Uliana Audrey van Drogen Kilian Ruminski Matthias Gstaiger Ruedi Aebersold
author_sort	Martin Mehnert
title	Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes
title_short	Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes
title_full	Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes
title_fullStr	Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes
title_full_unstemmed	Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes
title_sort	multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-07-01
description	Diseases can be associated with various mutations of the same gene, but the molecular consequences of specific mutations remain incompletely understood. Here, the authors present an integrated proteomic workflow to determine the molecular response of cells to different cancer-associated mutations of the kinase Dyrk2.
url	https://doi.org/10.1038/s41467-020-17387-y
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Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes

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