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IMOPAC:一个用于对患者来源的癌细胞系进行交互式多组学和药理学分析的网络服务器。

IMOPAC: A web server for interactive multiomics and pharmacological analyses of patient-derived cancer cell lines.

作者信息

Li Ganxun, Wan Dongyi, Liang Junnan, Zhu Peng, Ding Zeyang, Zhang Bixiang

机构信息

Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Clinical Medical Research Center of Hepatic Surgery at Hubei Province, Wuhan, China.

出版信息

Comput Struct Biotechnol J. 2023 Jul 22;21:3705-3714. doi: 10.1016/j.csbj.2023.07.023. eCollection 2023.

Abstract

Large-scale multidimensional cancer genomic and pharmacological profiles have been created by several large consortium projects, including NCI-60, GDSC and DepMap, providing novel opportunities for data mining and further understanding of intrinsic therapeutic response mechanisms. However, it is increasingly challenging for experimental biologists, especially those without a bioinformatic background, to integrate, explore, and analyse these tremendous pharmacogenomics. To address this gap, IMOPAC, an interactive and easy-to-use web-based tool, was introduced to provide rapid visualizations and customizable functionalities on the basis of these three publicly available databases, which may reduce pharmacogenomic profiles from cell lines into readily understandable genetic, epigenetic, transcriptionomic, proteomic, metabolomic, and pharmacological events. The user-friendly query interface together with customized data storage enables users to interactively investigate and visualize multiomics alterations across genes and pathways and to link these alterations with drug responses across cell lines from diverse cancer types. The analyses in our portal include pancancer expression, drug-omics/pathway correlation, cancer subtypes, omics-omics (cis-/trans-regulation) correlation, fusion query analysis, and drug response prediction analysis. The comprehensive multiomics and pharmacogenomic analyses with simple clicking through IMOPAC will significantly benefit cancer precision medicine, contribute to the discoveries of potential biological mechanisms and facilitate pharmacogenomics mining in the identification of clinically actionable biomarkers for both basic researchers and clinical practitioners. IMOPAC is freely available at http://www.hbpding.com/IMOPAC.

摘要

包括NCI - 60、GDSC和DepMap在内的几个大型联合项目已经创建了大规模的多维癌症基因组和药理学图谱,为数据挖掘以及进一步了解内在治疗反应机制提供了新的机会。然而,对于实验生物学家,尤其是那些没有生物信息学背景的实验生物学家来说,整合、探索和分析这些海量的药物基因组学数据变得越来越具有挑战性。为了弥补这一差距,IMOPAC这一基于网络的交互式且易于使用的工具被引入,以基于这三个公开可用的数据库提供快速可视化和可定制功能,这可能会将细胞系的药物基因组学图谱简化为易于理解的遗传、表观遗传、转录组学、蛋白质组学、代谢组学和药理学事件。用户友好的查询界面以及定制的数据存储功能,使用户能够交互式地研究和可视化跨基因和通路的多组学改变,并将这些改变与来自不同癌症类型的细胞系中的药物反应联系起来。我们平台的分析包括泛癌表达、药物 - 组学/通路相关性、癌症亚型、组学 - 组学(顺式/反式调控)相关性、融合查询分析和药物反应预测分析。通过IMOPAC只需简单点击就能进行全面的多组学和药物基因组学分析,这将极大地有益于癌症精准医学,有助于发现潜在的生物学机制,并促进药物基因组学挖掘,为基础研究人员和临床医生识别临床可操作的生物标志物。IMOPAC可在http://www.hbpding.com/IMOPAC免费获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/321b/10400808/f5f8c7f8ba79/ga1.jpg

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