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

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Author
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Date
2020Type
- Journal Article
Citations
Cited 17 times in
Web of Science
Cited 18 times in
Scopus
ETH Bibliography
yes
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Abstract
Rapidly increasing availability of genomic data and ensuing identification of disease associated mutations allows for an unbiased insight into genetic drivers of disease development. However, determination of molecular mechanisms by which individual genomic changes affect biochemical processes remains a major challenge. Here, we develop a multilayered proteomic workflow to explore how genetic lesions modulate the proteome and are translated into molecular phenotypes. Using this workflow we determine how expression of a panel of disease-associated mutations in the Dyrk2 protein kinase alter the composition, topology and activity of this kinase complex as well as the phosphoproteomic state of the cell. The data show that altered protein-protein interactions caused by the mutations are associated with topological changes and affected phosphorylation of known cancer driver proteins, thus linking Dyrk2 mutations with cancer-related biochemical processes. Overall, we discover multiple mutation-specific functionally relevant changes, thus highlighting the extensive plasticity of molecular responses to genetic lesions. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000428116Publication status
publishedExternal links
Journal / series
Nature CommunicationsVolume
Pages / Article No.
Publisher
Nature Publishing GroupOrganisational unit
03663 - Aebersold, Rudolf (emeritus) / Aebersold, Rudolf (emeritus)
Funding
115766 - Unrestricted Leveraging of Targets for Research Advancement and Drug Discovery (EC)
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Show all metadata
Citations
Cited 17 times in
Web of Science
Cited 18 times in
Scopus
ETH Bibliography
yes
Altmetrics