ArticleNature biotechnology2017
Detection of dysregulated protein-association networks by high-throughput proteomics predicts cancer vulnerabilities.
Article in Nature biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 4 of them syntheses that pooled it.
What it found
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Who cites it
101 citing papers in PubMed, 4 syntheses or guidelines pooled it, 167 citations in OpenAlex.
- Mapping protein states and interactions across the tree of life with co-fractionation mass spectrometry.Nature communications · 2023Pooled it
- Meta-analysis defines principles for the design and analysis of co-fractionation mass spectrometry experiments.Nature methods · 2021Pooled it
- An integrated landscape of protein expression in human cancer.Scientific data · 2021Pooled it
- Multi-modal meta-analysis of cancer cell line omics profiles identifies ECHDC1 as a novel breast tumor suppressor.Molecular systems biology · 2021Pooled it
- Integrative multi-omics reveals CUL4B as a modulator of macrophage pyroptosis and innate defense againstScience advances · 2026Article
- Fibroblasts resistScience advances · 2026Article
- Aberrant chromatin remodeling influences human neural cell fate change in Trisomy 21.bioRxiv : the preprint server for biology · 2026Article
- Strategies for constructing context-specific protein-protein interaction networks.Briefings in bioinformatics · 2026Review
- The proteomic landscape and temporal dynamics of human and mouse gastruloid development.Nature cell biology · 2026Article
- The complexome contextualizes proteomics data to fingerprint biological states and highlight perturbed functional modules in disease.NPJ systems biology and applications · 2026Article
- A tissue-specific atlas of protein-protein associations enables prioritization of candidate disease genes.Nature biotechnology · 2026Article
- A protein association atlas for human tissues.Nature biotechnology · 2026Article
- Modulation of Nudt21 levels reveals dose-dependent roles of alternative polyadenylation in tissue regeneration.Nature communications · 2026Article
- Single-cell proteomics of Arabidopsis leaf mesophyll reveals dynamic protein responses to water-deficit stress.Genome biology · 2026Article
- A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data.Bioinformatics advances · 2026Article
- MnM-W-MMGBSA: A Computational Strategy to Improve Relative Binding Free Energies of Protein-Protein Interaction Systems.The journal of physical chemistry. B · 2025Article
- Regulation of ribosomal gene expression and senescence by a PML-mTOR-RONIN nuclear complex in triple-negative breast cancer.Oncogene · 2025Article
- Disruption of P. falciparum amino acid transporter elevates intracellular proline and induces resistance to Prolyl-tRNA synthetase inhibitors.Cell chemical biology · 2025Article
- Generation of a Biliary Tract Cancer Cell Line Atlas Identifies Molecular Subtypes and Therapeutic Targets.Cancer discovery · 2025Article
- The E3 ligase HECTD4 regulates COX-2-dependent tumor progression and metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
41 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
The formation of protein complexes and the co-regulation of the cellular concentrations of proteins are essential mechanisms for cellular signaling and for maintaining homeostasis. Here we use isobaric-labeling multiplexed proteomics to analyze protein co-regulation and show that this allows the identification of protein-protein associations with high accuracy. We apply this 'interactome mapping by high-throughput quantitative proteome analysis' (IMAHP) method to a panel of 41 breast cancer cell lines and show that deviations of the observed protein co-regulations in specific cell lines from the consensus network affects cellular fitness. Furthermore, these aberrant interactions serve as biomarkers that predict the drug sensitivity of cell lines in screens across 195 drugs. We expect that IMAHP can be broadly used to gain insight into how changing landscapes of protein-protein associations affect the phenotype of biological systems.
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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.