Proteomics

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


ABSTRACT: With the rapidly increasing availability of genomic data and ensuing identification of disease associated mutations, the determination of molecular mechanisms by which such mutations affect biochemical processes and phenotypes remains a major challenge. In this study we developed and applied a multilayered proteomic workflow to explore how genetic lesions modulate the modular proteome to alter functional phenotypes. Using this workflow we determined how expression of a panel of disease-associated mutations in the Dyrk2 protein kinase altered the composition, topology and activity of the multifunctional protein complex assembled around Dyrk2 and the phosphoproteomic state of the respective cells. We found that the selected cancer-related Dyrk2 mutations caused, to a differing extent, disassembly of the catalytic kinase core complex and caused disruption of interactions within the Dyrk2 core or with other cellular modules. This is exemplified by the nuclear pore associated Y-complex which we identified as new interactor of Dyrk2. We further found that the altered protein-protein interactions caused by the mutations are associated with topological changes and with changes in posttranslational modifications in the mutated kinase modules. Finally, we observed that the expression of each tested cancer-related mutation created a specific phosphoproteomic footprint including altered phosphorylation of known cancer-associated proteins, thus linking Dyrk2 mutations with cancer-related biochemical processes. Overall we developed an integrated, multilayered proteomic workflow to study how specific genomic mutations affect the modular proteome. Applying it to mutations in the Dyrk2 kinase we discover multiple mutation-specific, significant, pleiotropic and functionally relevant changes, highlighting the large plasticity of molecular responses to genomic lesions. The established workflow is generically applicable and will contribute to a better understanding of the molecular mechanisms that translate genomic alterations into (disease) phenotypes.

INSTRUMENT(S): Orbitrap Fusion Lumos, TripleTOF 6600, LTQ Orbitrap XL, LTQ Orbitrap Elite

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell, Hek-293et Cell, Cell Culture, Hela Cell

SUBMITTER: Martin Mehnert  

LAB HEAD: Ruedi Aebersold

PROVIDER: PXD015687 | Pride | 2020-07-22

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
AP_13E_Dyrk2_mutants_MaxQuant_txt.zip Other
BioID_14_20_Dyrk2_mutants_MaxQuant_txt.zip Other
DDA_SEARCH_results_AP_MS.zip Other
DDA_SEARCH_results_BioID_MS.zip Other
DDA_SEARCH_results_XL_MS.zip Other
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Publications

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

Mehnert Martin M   Ciuffa Rodolfo R   Frommelt Fabian F   Uliana Federico F   van Drogen Audrey A   Ruminski Kilian K   Gstaiger Matthias M   Aebersold Ruedi R  

Nature communications 20200716 1


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 deter  ...[more]

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