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Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity
Drug Toxicity Signature Generation Center (DToxS) at the Icahn School of Medicine at Mount Sinai is one of the centers for the NIH Library of Integrated Network-Based Cellular Signatures (LINCS) program. Its key aim is to generate proteomic and transcriptomic signatures that can predict cardiotoxic...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776854/ https://www.ncbi.nlm.nih.gov/pubmed/35058449 http://dx.doi.org/10.1038/s41597-021-01114-3 |
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author | Xiong, Yuguang Liu, Tong Chen, Tong Hansen, Jens Hu, Bin Chen, Yibang Jayaraman, Gomathi Schürer, Stephan Vidovic, Dusica Goldfarb, Joseph Sobie, Eric A. Birtwistle, Marc R. Iyengar, Ravi Li, Hong Azeloglu, Evren U. |
author_facet | Xiong, Yuguang Liu, Tong Chen, Tong Hansen, Jens Hu, Bin Chen, Yibang Jayaraman, Gomathi Schürer, Stephan Vidovic, Dusica Goldfarb, Joseph Sobie, Eric A. Birtwistle, Marc R. Iyengar, Ravi Li, Hong Azeloglu, Evren U. |
author_sort | Xiong, Yuguang |
collection | PubMed |
description | Drug Toxicity Signature Generation Center (DToxS) at the Icahn School of Medicine at Mount Sinai is one of the centers for the NIH Library of Integrated Network-Based Cellular Signatures (LINCS) program. Its key aim is to generate proteomic and transcriptomic signatures that can predict cardiotoxic adverse effects of kinase inhibitors approved by the Food and Drug Administration. Towards this goal, high throughput shotgun proteomics experiments (308 cell line/drug combinations +64 control lysates) have been conducted. Using computational network analyses, these proteomic data can be integrated with transcriptomic signatures, generated in tandem, to identify cellular signatures of cardiotoxicity that may predict kinase inhibitor-induced toxicity and enable possible mitigation. Both raw and processed proteomics data have passed several quality control steps and been made publicly available on the PRIDE database. This broad protein kinase inhibitor-stimulated human cardiomyocyte proteomic data and signature set is valuable for prediction of drug toxicities. |
format | Online Article Text |
id | pubmed-8776854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87768542022-02-04 Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity Xiong, Yuguang Liu, Tong Chen, Tong Hansen, Jens Hu, Bin Chen, Yibang Jayaraman, Gomathi Schürer, Stephan Vidovic, Dusica Goldfarb, Joseph Sobie, Eric A. Birtwistle, Marc R. Iyengar, Ravi Li, Hong Azeloglu, Evren U. Sci Data Data Descriptor Drug Toxicity Signature Generation Center (DToxS) at the Icahn School of Medicine at Mount Sinai is one of the centers for the NIH Library of Integrated Network-Based Cellular Signatures (LINCS) program. Its key aim is to generate proteomic and transcriptomic signatures that can predict cardiotoxic adverse effects of kinase inhibitors approved by the Food and Drug Administration. Towards this goal, high throughput shotgun proteomics experiments (308 cell line/drug combinations +64 control lysates) have been conducted. Using computational network analyses, these proteomic data can be integrated with transcriptomic signatures, generated in tandem, to identify cellular signatures of cardiotoxicity that may predict kinase inhibitor-induced toxicity and enable possible mitigation. Both raw and processed proteomics data have passed several quality control steps and been made publicly available on the PRIDE database. This broad protein kinase inhibitor-stimulated human cardiomyocyte proteomic data and signature set is valuable for prediction of drug toxicities. Nature Publishing Group UK 2022-01-20 /pmc/articles/PMC8776854/ /pubmed/35058449 http://dx.doi.org/10.1038/s41597-021-01114-3 Text en © The Author(s) 2022 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/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Xiong, Yuguang Liu, Tong Chen, Tong Hansen, Jens Hu, Bin Chen, Yibang Jayaraman, Gomathi Schürer, Stephan Vidovic, Dusica Goldfarb, Joseph Sobie, Eric A. Birtwistle, Marc R. Iyengar, Ravi Li, Hong Azeloglu, Evren U. Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity |
title | Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity |
title_full | Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity |
title_fullStr | Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity |
title_full_unstemmed | Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity |
title_short | Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity |
title_sort | proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776854/ https://www.ncbi.nlm.nih.gov/pubmed/35058449 http://dx.doi.org/10.1038/s41597-021-01114-3 |
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