| Literature DB >> 33434514 |
Xin Zhou1, Jian Wang2, Jaimin Patel2, Marc Valentine3, Ying Shao2, Scott Newman2, Edgar Sioson2, Liqing Tian2, Yu Liu2, Samuel W Brady2, Diane Flasch2, Xiaotu Ma2, Yanling Liu2, Robin Paul2, Michael N Edmonson2, Michael C Rusch2, Chunliang Li4, Suzanne J Baker5, John Easton2, Jinghui Zhang6.
Abstract
GenomePaint (https://genomepaint.stjude.cloud/) is an interactive visualization platform for whole-genome, whole-exome, transcriptome, and epigenomic data of tumor samples. Its design captures the inter-relatedness between DNA variations and RNA expression, supporting in-depth exploration of both individual cancer genomes and full cohorts. Regulatory non-coding variants can be inspected and analyzed along with coding variants, and their functional impact further explored by examining 3D genome data from cancer cell lines. Further, GenomePaint correlates mutation and expression patterns with patient outcomes, and supports custom data upload. We used GenomePaint to unveil aberrant splicing that disrupts the RING domain of CREBBP, discover cis activation of the MYC oncogene by duplication of the NOTCH1-MYC enhancer in B-lineage acute lymphoblastic leukemia, and explore the inter- and intra-tumor heterogeneity at EGFR in adult glioblastomas. These examples demonstrate that deep multi-omics exploration of individual cancer genomes enabled by GenomePaint can lead to biological insights for follow-up validation.Entities:
Keywords: cancer; gene expression; genome browser; mutation
Mesh:
Year: 2021 PMID: 33434514 PMCID: PMC7884056 DOI: 10.1016/j.ccell.2020.12.011
Source DB: PubMed Journal: Cancer Cell ISSN: 1535-6108 Impact factor: 31.743