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使用癌症蛋白质组图谱探索、可视化和分析功能性癌症蛋白质组数据。

Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome Atlas.

作者信息

Li Jun, Akbani Rehan, Zhao Wei, Lu Yiling, Weinstein John N, Mills Gordon B, Liang Han

机构信息

Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.

出版信息

Cancer Res. 2017 Nov 1;77(21):e51-e54. doi: 10.1158/0008-5472.CAN-17-0369.

Abstract

Reverse-phase protein arrays (RPPA) represent a powerful functional proteomic approach to elucidate cancer-related molecular mechanisms and to develop novel cancer therapies. To facilitate community-based investigation of the large-scale protein expression data generated by this platform, we have developed a user-friendly, open-access bioinformatic resource, The Cancer Proteome Atlas (TCPA, http://tcpaportal.org), which contains two separate web applications. The first one focuses on RPPA data of patient tumors, which contains >8,000 samples of 32 cancer types from The Cancer Genome Atlas and other independent patient cohorts. The second application focuses on the RPPA data of cancer cell lines and contains >650 independent cell lines across 19 lineages. Many of these cell lines have publicly available, high-quality DNA, RNA, and drug screening data. TCPA provides various analytic and visualization modules to help cancer researchers explore these datasets and generate testable hypotheses in an effective and intuitive manner. .

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TCPA: a resource for cancer functional proteomics data.TCPA:癌症功能蛋白质组学数据资源
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