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  • 标题:Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity
  • 本地全文:下载
  • 作者:Yuguang Xiong ; Tong Liu ; Tong Chen
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-11
  • DOI:10.1038/s41597-021-01114-3
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要: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 efects 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 .
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