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Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation

Authors :
Anna Rodina
Chao Xu
Chander S. Digwal
Suhasini Joshi
Yogita Patel
Anand R. Santhaseela
Sadik Bay
Swathi Merugu
Aftab Alam
Pengrong Yan
Chenghua Yang
Tanaya Roychowdhury
Palak Panchal
Liza Shrestha
Yanlong Kang
Sahil Sharma
Justina Almodovar
Adriana Corben
Mary L. Alpaugh
Shanu Modi
Monica L. Guzman
Teng Fei
Tony Taldone
Stephen D. Ginsberg
Hediye Erdjument-Bromage
Thomas A. Neubert
Katia Manova-Todorova
Meng-Fu Bryan Tsou
Jason C. Young
Tai Wang
Gabriela Chiosis
Source :
Nature Communications, Vol 14, Iss 1, Pp 1-26 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.bd99358101954a8492861b762bbf8146
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-023-39241-7