TY - JOUR
T1 - Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation
AU - Rodina, Anna
AU - Xu, Chao
AU - Digwal, Chander S.
AU - Joshi, Suhasini
AU - Patel, Yogita
AU - Santhaseela, Anand R.
AU - Bay, Sadik
AU - Merugu, Swathi
AU - Alam, Aftab
AU - Yan, Pengrong
AU - Yang, Chenghua
AU - Roychowdhury, Tanaya
AU - Panchal, Palak
AU - Shrestha, Liza
AU - Kang, Yanlong
AU - Sharma, Sahil
AU - Almodovar, Justina
AU - Corben, Adriana
AU - Alpaugh, Mary L.
AU - Modi, Shanu
AU - Guzman, Monica L.
AU - Fei, Teng
AU - Taldone, Tony
AU - Ginsberg, Stephen D.
AU - Erdjument-Bromage, Hediye
AU - Neubert, Thomas A.
AU - Manova-Todorova, Katia
AU - Tsou, Meng Fu Bryan
AU - Young, Jason C.
AU - Wang, Tai
AU - Chiosis, Gabriela
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
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U2 - 10.1038/s41467-023-39241-7
DO - 10.1038/s41467-023-39241-7
M3 - Article
C2 - 37353488
AN - SCOPUS:85162795046
SN - 2041-1723
VL - 14
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 3742
ER -