| Literature DB >> 25485619 |
Christiaan Klijn1, Steffen Durinck2, Eric W Stawiski2, Peter M Haverty1, Zhaoshi Jiang1, Hanbin Liu1, Jeremiah Degenhardt1, Oleg Mayba1, Florian Gnad1, Jinfeng Liu1, Gregoire Pau1, Jens Reeder1, Yi Cao3, Kiran Mukhyala1, Suresh K Selvaraj4, Mamie Yu4, Gregory J Zynda1, Matthew J Brauer1, Thomas D Wu1, Robert C Gentleman1, Gerard Manning1, Robert L Yauch4, Richard Bourgon1, David Stokoe4, Zora Modrusan5, Richard M Neve4, Frederic J de Sauvage5, Jeffrey Settleman4, Somasekar Seshagiri5, Zemin Zhang1.
Abstract
Tumor-derived cell lines have served as vital models to advance our understanding of oncogene function and therapeutic responses. Although substantial effort has been made to define the genomic constitution of cancer cell line panels, the transcriptome remains understudied. Here we describe RNA sequencing and single-nucleotide polymorphism (SNP) array analysis of 675 human cancer cell lines. We report comprehensive analyses of transcriptome features including gene expression, mutations, gene fusions and expression of non-human sequences. Of the 2,200 gene fusions catalogued, 1,435 consist of genes not previously found in fusions, providing many leads for further investigation. We combine multiple genome and transcriptome features in a pathway-based approach to enhance prediction of response to targeted therapeutics. Our results provide a valuable resource for studies that use cancer cell lines.Entities:
Mesh：
Year: 2014 PMID： 25485619 DOI： 10.1038/nbt.3080
Source DB: PubMed Journal: Nat Biotechnol ISSN： 1087-0156 Impact factor: 54.908