ArticleCell2015
Kinome-wide decoding of network-attacking mutations rewiring cancer signaling.
Article in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
103 citing papers in PubMed, 189 citations in OpenAlex.
- PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Human genetics across levels of biological organization.Nature reviews. Genetics · 2026Review
- Phosphosite-specific co-regulation networks of MELK kinase: insights from integrative global phosphoproteomes.Journal, genetic engineering & biotechnology · 2026Article
- Proximity-labeling proteomics reveals remodeled interactomes and altered localization of pathogenic SHP2 variants.EMBO reports · 2026Article
- Penetrant PKCβ mutation in ATLL displays a mixed gain-of-function.The Biochemical journal · 2025Article
- Discovering anticancer drug target combinations via network-informed signaling-based approach.Communications medicine · 2025Article
- Proximity-labeling proteomics reveals remodeled interactomes and altered localization of pathogenic SHP2 variants.bioRxiv : the preprint server for biology · 2025Article
- DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterations.Nature methods · 2025Article
- Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025Review
- GraphPhos: Predict Protein-Phosphorylation Sites Based on Graph Neural Networks.International journal of molecular sciences · 2025Article
- A concise guide to fluorescent cell cycle reporters for live-cell imaging.Frontiers in cell and developmental biology · 2025Review
- Anticancer Target Combinations: Network-Informed Signaling-Based Approach to Discovery.bioRxiv : the preprint server for biology · 2024Article
- The pathogenic T42A mutation in SHP2 rewires the interaction specificity of its N-terminal regulatory domain.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The pathogenic T42A mutation in SHP2 rewires the interaction specificity of its N-terminal regulatory domain.bioRxiv : the preprint server for biology · 2024Article
- Integrating Clinical Cancer and PTM Proteomics Data Identifies a Mechanism of ACK1 Kinase Activation.Molecular cancer research : MCR · 2024Article
- Protein Kinase C at the Crossroad of Mutations, Cancer, Targeted Therapy and Immune Response.Biology · 2023Review
- Deep Local Analysis deconstructs protein-protein interfaces and accurately estimates binding affinity changes upon mutation.Bioinformatics (Oxford, England) · 2023Article
- Marginal specificity in protein interactions constrains evolution of a paralogous family.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Pan-Cancer landscape of protein activities identifies drivers of signalling dysregulation and patient survival.Molecular systems biology · 2023Article
43 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 6 institutions in 5 countries.
Funding
Abstract
Cancer cells acquire pathological phenotypes through accumulation of mutations that perturb signaling networks. However, global analysis of these events is currently limited. Here, we identify six types of network-attacking mutations (NAMs), including changes in kinase and SH2 modulation, network rewiring, and the genesis and extinction of phosphorylation sites. We developed a computational platform (ReKINect) to identify NAMs and systematically interpreted the exomes and quantitative (phospho-)proteomes of five ovarian cancer cell lines and the global cancer genome repository. We identified and experimentally validated several NAMs, including PKCγ M501I and PKD1 D665N, which encode specificity switches analogous to the appearance of kinases de novo within the kinome. We discover mutant molecular logic gates, a drift toward phospho-threonine signaling, weakening of phosphorylation motifs, and kinase-inactivating hotspots in cancer. Our method pinpoints functional NAMs, scales with the complexity of cancer genomes and cell signaling, and may enhance our capability to therapeutically target tumor-specific networks.
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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 OpenQuestion graph.