ArticleCell systems2017
A Compendium of Co-regulated Protein Complexes in Breast Cancer Reveals Collateral Loss Events.
Article in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 56 citations in OpenAlex.
- Native Multidimensional Protein Complex Identification and Topology Characterization (Native MudPIT).Analytical chemistry · 2026Article
- Translation efficiency covariation identifies conserved coordination patterns across cell types.Nature biotechnology · 2026Article
- A tissue-specific atlas of protein-protein associations enables prioritization of candidate disease genes.Nature biotechnology · 2026Article
- A computational framework for the inference of protein complex remodeling from whole-proteome measurements.Nature methods · 2023Article
- Proteogenomic data and resources for pan-cancer analysis.Cancer cell · 2023Review
- Protocol to analyze dysregulation of the eIF4F complex in human cancers using R software and large public datasets.STAR protocols · 2022Article
- A compendium of co-regulated mitoribosomal proteins in pan-cancer uncovers collateral defective events in tumor malignancy.iScience · 2022Article
- Experimental reproducibility limits the correlation between mRNA and protein abundances in tumor proteomic profiles.Cell reports methods · 2022Article
- Pan-cancer proteomic map of 949 human cell lines.Cancer cell · 2022Article
- Degron masking outlines degronons, co-degrading functional modules in the proteome.Communications biology · 2022Article
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- Simplified and Unified Access to Cancer Proteogenomic Data.Journal of proteome research · 2021Article
- Protein Complex Organization Imposes Constraints on Proteome Dysregulation in Cancer.Frontiers in bioinformatics · 2021Article
- Development of synthetic lethality in cancer: molecular and cellular classification.Signal transduction and targeted therapy · 2020Review
- Divergent organ-specific isogenic metastatic cell lines identified using multi-omics exhibit differential drug sensitivity.PloS one · 2020Article
- Multi-omics Characterization of Interaction-mediated Control of Human Protein Abundance levels.Molecular & cellular proteomics : MCP · 2019Article
- MOLI: multi-omics late integration with deep neural networks for drug response prediction.Bioinformatics (Oxford, England) · 2019Article
- Article
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- CoExpresso: assess the quantitative behavior of protein complexes in human cells.BMC bioinformatics · 2019Article
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5 authors at 3 institutions in 2 countries.
Funding
Abstract
Protein complexes are responsible for the bulk of activities within the cell, but how their behavior and abundance varies across tumors remains poorly understood. By combining proteomic profiles of breast tumors with a large-scale protein-protein interaction network, we have identified a set of 285 high-confidence protein complexes whose subunits have highly correlated protein abundance across tumor samples. We used this set to identify complexes that are reproducibly under- or overexpressed in specific breast cancer subtypes. We found that mutation or deletion of one subunit of a co-regulated complex was often associated with a collateral reduction in protein expression of additional complex members. This collateral loss phenomenon was typically evident from proteomic, but not transcriptomic, profiles, suggesting post-transcriptional control. Mutation of the tumor suppressor E-cadherin (CDH1) was associated with a collateral loss of members of the adherens junction complex, an effect we validated using an engineered model of E-cadherin loss.
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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.