ArticleNature communications2020
Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- A tri-omics and machine learning framework identifies prognostic biomarkers and metabolic signatures in sepsis.Scientific reports · 2026Article
- Kinase activity of DYRK family members is required for regulating primary cilium length, stability and morphology.Communications biology · 2025Article
- Phase separation of a microtubule plus-end tracking protein into a fluid fractal network.Nature communications · 2025Article
- The hGIDLife science alliance · 2024Article
- Multilevel Regulation of Membrane Proteins in Response to Metal and Metalloid Stress: A Lesson from Yeast.International journal of molecular sciences · 2024Review
- DeepFLR facilitates false localization rate control in phosphoproteomics.Nature communications · 2023Article
- Non-Association of Driver Alterations in PTEN with Differential Gene Expression and Gene Methylation in IDH1 Wildtype Glioblastomas.Brain sciences · 2023Article
- Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture model.PLoS computational biology · 2022Article
- PCfun: a hybrid computational framework for systematic characterization of protein complex function.Briefings in bioinformatics · 2022Article
- The impact of genomic variation on protein phosphorylation states and regulatory networks.Molecular systems biology · 2022Article
- Implications of disease-related mutations at protein-protein interfaces.Current opinion in structural biology · 2022Review
- Orthogonal proteomics methods to unravel the HOTAIR interactome.Scientific reports · 2022Article
- Arsenic perception and signaling: The yet unexplored world.Frontiers in plant science · 2022Review
- GPCRs Are Optimal Regulators of Complex Biological Systems and Orchestrate the Interface between Health and Disease.International journal of molecular sciences · 2021Review
- Progress Identifying and Analyzing the Human Proteome: 2021 Metrics from the HUPO Human Proteome Project.Journal of proteome research · 2021Article
- Dual-Specificity, Tyrosine Phosphorylation-Regulated Kinases (DYRKs) and cdc2-Like Kinases (CLKs) in Human Disease, an Overview.International journal of molecular sciences · 2021Review
- Crosslinking mass spectrometry: A link between structural biology and systems biology.Protein science : a publication of the Protein Society · 2021Review
- Proteomic insights into synaptic signaling in the brain: the past, present and future.Molecular brain · 2021Review
- Mass spectrometry-based protein-protein interaction networks for the study of human diseases.Molecular systems biology · 2021Review
- The DYRK Family of Kinases in Cancer: Molecular Functions and Therapeutic Opportunities.Cancers · 2020Review
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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