Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome Atlas
Year: 2017
Type: article
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. Cancer Res; 77(21); e51–54. ©2017 AACR.
Source: Cancer Research
Institution: The University of Texas MD Anderson Cancer Center
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: G1026889391, G111615301, G1129153677, G1468253849, G2295909439, G2659503640, G3021679957, G467982076, Systematic Investigation of Clinically Relevant Expressed Pseudogenes in Cancer, Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC), Integrative bioinformatics and functional characterization of oncogenic driver aberrations in cancer, TCPA: an Integrated Bioinformatics Resource for Functional Cancer Proteomic Data, G631823652, G6703021058, G7016337577, G9000006507, G9000079746, G9000215658, G9000247504, G9000249801, G9000254447, Cancer Center Support Grant
OpenAlex ID: W2765974598