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Updated: Jul 25, 2025

Using Caenorhabditis elegans to Screen for Tissue-Specific Chaperone Interactions
Published on: June 7, 2020
Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify
Anna Rodina1, Chao Xu1, Chander S Digwal1
1Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Abstract:
Systems-level assessments of protein-protein interaction (PPI) network dysfunctions are currently out-of-reach because approaches enabling proteome-wide identification, analysis, and modulation of context-specific PPI changes in native (unengineered) cells and tissues are lacking. Herein, we take advantage of chemical binders of maladaptive scaffolding structures termed epichaperomes and develop an epichaperome-based 'omics platform, epichaperomics, to identify PPI alterations in disease. We provide multiple lines of evidence, at both biochemical and functional levels, demonstrating the importance of these probes to identify and study PPI network dysfunctions and provide mechanistically and therapeutically relevant proteome-wide insights. As proof-of-principle, we derive systems-level insight into PPI dysfunctions of cancer cells which enabled the discovery of a context-dependent mechanism by which cancer cells enhance the fitness of mitotic protein networks. Importantly, our systems levels analyses support the use of epichaperome chemical binders as therapeutic strategies aimed at normalizing PPI networks.
Insights
A new platform, epichaperomics, enables proteome-wide identification of protein-protein interaction (PPI) alterations in disease. This approach reveals cancer cell mechanisms and supports epichaperome binders as potential therapeutics.
Area of Science:
- Biochemistry and Molecular Biology
- Systems Biology
- Chemical Biology
Background:
- Systems-level assessment of protein-protein interaction (PPI) network dysfunctions is limited by a lack of methods for proteome-wide analysis in native cells.
- Context-specific PPI changes are crucial for understanding disease mechanisms but are difficult to study comprehensively.
- Existing approaches do not adequately capture the dynamic and context-dependent nature of PPI networks.
Purpose of the Study:
- To develop a novel platform for identifying and analyzing disease-associated PPI alterations at the proteome-wide level.
- To investigate PPI network dysfunctions in cancer cells using a systems-level approach.
- To explore the therapeutic potential of targeting epichaperomes for normalizing aberrant PPI networks.
Main Methods:
- Development of an epichaperome-based 'omics platform (epichaperomics) utilizing chemical binders of epichaperomes.
- Biochemical and functional analyses to validate the utility of epichaperomics for PPI alteration studies.
- Application of epichaperomics to cancer cells to gain systems-level insights into PPI dysfunctions.
Main Results:
- Epichaperomics successfully identifies and analyzes context-specific PPI alterations in disease.
- Demonstrated the importance of epichaperome binders in revealing mechanistically and therapeutically relevant proteome-wide insights.
- Discovered a cancer-specific mechanism involving enhanced mitotic protein network fitness.
Conclusions:
- Epichaperomics provides a powerful tool for systems-level investigation of PPI network dysfunctions.
- The findings highlight the role of epichaperomes in disease pathogenesis, particularly in cancer.
- Epichaperome chemical binders represent a promising therapeutic strategy for normalizing disease-associated PPI networks.
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