Details

Autor(en) / Beteiligte

• Rodina, Anna
• Xu, Chao
• Digwal, Chander S
• Joshi, Suhasini
• Patel, Yogita
• Santhaseela, Anand R
• Bay, Sadik
• Merugu, Swathi
• Alam, Aftab
• Yan, Pengrong
• Yang, Chenghua
• Roychowdhury, Tanaya
• Panchal, Palak
• Shrestha, Liza
• Kang, Yanlong
• Sharma, Sahil
• Almodovar, Justina
• Corben, Adriana
• Alpaugh, Mary L
• Modi, Shanu
• Guzman, Monica L
• Fei, Teng
• Taldone, Tony
• Ginsberg, Stephen D
• Erdjument-Bromage, Hediye
• Neubert, Thomas A
• Manova-Todorova, Katia
• Tsou, Meng-Fu Bryan
• Young, Jason C
• Wang, Tai
• Chiosis, Gabriela

Titel

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

Ist Teil von

• Nature communications, 2023-06, Vol.14 (1), p.3742-3742, Article 3742

Ort / Verlag

England: Nature Publishing Group

Erscheinungsjahr

2023

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.