Cargando…

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

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 ad...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290137/
https://www.ncbi.nlm.nih.gov/pubmed/37353488
http://dx.doi.org/10.1038/s41467-023-39241-7
_version_ 1785062428014280704
author 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
author_facet 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
author_sort Rodina, Anna
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10290137
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-102901372023-06-25 Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation 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 Nat Commun Article 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. Nature Publishing Group UK 2023-06-23 /pmc/articles/PMC10290137/ /pubmed/37353488 http://dx.doi.org/10.1038/s41467-023-39241-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
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
Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation
title Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation
title_full Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation
title_fullStr Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation
title_full_unstemmed Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation
title_short Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation
title_sort systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290137/
https://www.ncbi.nlm.nih.gov/pubmed/37353488
http://dx.doi.org/10.1038/s41467-023-39241-7
work_keys_str_mv AT rodinaanna systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT xuchao systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT digwalchanders systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT joshisuhasini systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT patelyogita systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT santhaseelaanandr systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT baysadik systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT meruguswathi systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT alamaftab systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT yanpengrong systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT yangchenghua systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT roychowdhurytanaya systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT panchalpalak systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT shresthaliza systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT kangyanlong systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT sharmasahil systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT almodovarjustina systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT corbenadriana systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT alpaughmaryl systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT modishanu systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT guzmanmonical systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT feiteng systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT taldonetony systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT ginsbergstephend systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT erdjumentbromagehediye systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT neubertthomasa systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT manovatodorovakatia systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT tsoumengfubryan systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT youngjasonc systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT wangtai systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation
AT chiosisgabriela systemslevelanalysesofproteinproteininteractionnetworkdysfunctionsviaepichaperomicsidentifycancerspecificmechanismsofstressadaptation