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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |
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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 |
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