ArticleNature communications2023
Ecological network analysis reveals cancer-dependent chaperone-client interaction structure and robustness.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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
3 citing papers in PubMed, 6 citations in OpenAlex.
- The mitochondrial chaperone HSPD1 folds MTHFD2 independently of its co-chaperone HSPE1.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Article
- HSP60 and HSP10 depletion provoke distinct biological responses.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Article
- Distinct patterns of proteostasis network gene expression are associated with different prognoses in melanoma patients.Scientific reports · 2024Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Cancer cells alter the expression levels of metabolic enzymes to fuel proliferation. The mitochondrion is a central hub of metabolic reprogramming, where chaperones service hundreds of clients, forming chaperone-client interaction networks. How network structure affects its robustness to chaperone targeting is key to developing cancer-specific drug therapy. However, few studies have assessed how structure and robustness vary across different cancer tissues. Here, using ecological network analysis, we reveal a non-random, hierarchical pattern whereby the cancer type modulates the chaperones' ability to realize their potential client interactions. Despite the low similarity between the chaperone-client interaction networks, we highly accurately predict links in one cancer type based on another. Moreover, we identify groups of chaperones that interact with similar clients. Simulations of network robustness show that this group structure affects cancer-specific response to chaperone removal. Our results open the door for new hypotheses regarding the ecology and evolution of chaperone-client interaction networks and can inform cancer-specific drug development strategies.
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