ArticleMolecular cell2023
Multiplexed kinase interactome profiling quantifies cellular network activity and plasticity.
Article in Molecular cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Multi-Modal Kinome Profiling Discovers Mesenchymal-Like Polarity Networks that Underly Directed Hepatocellular Carcinoma Cell Migration.bioRxiv : the preprint server for biology · 2026Article
- Paradoxical non-catalytic kinase functions are driven by inhibitor-induced displacement of autoinhibitory domains.Molecular systems biology · 2026Article
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- Multiomics combined with machine learning defines unique molecular subtypes of cholangiocarcinoma and identifies TNK1 as a therapeutic target.Hepatology (Baltimore, Md.) · 2026Article
- Article
- Modulation of Network Plasticity Opens Novel Therapeutic Possibilities in Cancer, Diabetes, and Neurodegeneration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Defining the heterogeneous molecular landscape of lung cancer cell responses to epigenetic inhibition.Communications biology · 2026Article
- Multiomic Analyses Reveal Brainstem Metabolic Changes in a Mouse Model of Dravet Syndrome.Cells · 2025Article
- Article
- diaPASEF-Powered Chemoproteomics Enables Deep Kinome Interaction Profiling.Journal of proteome research · 2025Article
- Identification of a resistance-exercise-specific signalling pathway that drives skeletal muscle growth.Nature metabolism · 2025Article
- Article
- PKN2 Is a Dependency of the Mesenchymal-like Cancer Cell State.Cancer discovery · 2025Article
- Identification of YBX2 and TSKS As STK33 Interacting Proteins in Testicular Germ Cells.Reproductive sciences (Thousand Oaks, Calif.) · 2025Article
- Development of mirror-image monobodies targeting the oncogenic BCR::ABL1 kinase.Nature communications · 2024Article
- Effect of Small-Molecule Natural Compounds on Pathologic Mast Cell/Basophil Activation in Allergic Diseases.Cells · 2024Review
- Structure-independent machine-learning predictions of the CDK12 interactome.Biophysical journal · 2024Article
- Proteomic approaches for protein kinase substrate identification in Apicomplexa.Molecular and biochemical parasitology · 2024Review
- Article
- Illuminating the druggable genome: Pathways to progress.Drug discovery today · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Dynamic changes in protein-protein interaction (PPI) networks underlie all physiological cellular functions and drive devastating human diseases. Profiling PPI networks can, therefore, provide critical insight into disease mechanisms and identify new drug targets. Kinases are regulatory nodes in many PPI networks; yet, facile methods to systematically study kinase interactome dynamics are lacking. We describe kinobead competition and correlation analysis (kiCCA), a quantitative mass spectrometry-based chemoproteomic method for rapid and highly multiplexed profiling of endogenous kinase interactomes. Using kiCCA, we identified 1,154 PPIs of 238 kinases across 18 diverse cancer lines, quantifying context-dependent kinase interactome changes linked to cancer type, plasticity, and signaling states, thereby assembling an extensive knowledgebase for cell signaling research. We discovered drug target candidates, including an endocytic adapter-associated kinase (AAK1) complex that promotes cancer cell epithelial-mesenchymal plasticity and drug resistance. Our data demonstrate the importance of kinase interactome dynamics for cellular signaling in health and disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.