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A comprehensive transcriptional portrait of human cancer cell lines.
Klijn, Christiaan; Durinck, Steffen; Stawiski, Eric W; Haverty, Peter M; Jiang, Zhaoshi; Liu, Hanbin; Degenhardt, Jeremiah; Mayba, Oleg; Gnad, Florian; Liu, Jinfeng; Pau, Gregoire; Reeder, Jens; Cao, Yi; Mukhyala, Kiran; Selvaraj, Suresh K; Yu, Mamie; Zynda, Gregory J; Brauer, Matthew J; Wu, Thomas D; Gentleman, Robert C; Manning, Gerard; Yauch, Robert L; Bourgon, Richard; Stokoe, David; Modrusan, Zora; Neve, Richard M; de Sauvage, Frederic J; Settleman, Jeffrey; Seshagiri, Somasekar; Zhang, Zemin.
Afiliación
  • Klijn C; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Durinck S; 1] Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA. [2] Department of Molecular Biology, Genentech Inc., South San Francisco, California, USA.
  • Stawiski EW; 1] Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA. [2] Department of Molecular Biology, Genentech Inc., South San Francisco, California, USA.
  • Haverty PM; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Jiang Z; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Liu H; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Degenhardt J; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Mayba O; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Gnad F; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Liu J; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Pau G; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Reeder J; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Cao Y; 1] Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA. [2] Department of Discovery Oncology, Genentech Inc., South San Francisco, California, USA.
  • Mukhyala K; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Selvaraj SK; Department of Discovery Oncology, Genentech Inc., South San Francisco, California, USA.
  • Yu M; Department of Discovery Oncology, Genentech Inc., South San Francisco, California, USA.
  • Zynda GJ; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Brauer MJ; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Wu TD; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Gentleman RC; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Manning G; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Yauch RL; Department of Discovery Oncology, Genentech Inc., South San Francisco, California, USA.
  • Bourgon R; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
  • Stokoe D; Department of Discovery Oncology, Genentech Inc., South San Francisco, California, USA.
  • Modrusan Z; Department of Molecular Biology, Genentech Inc., South San Francisco, California, USA.
  • Neve RM; Department of Discovery Oncology, Genentech Inc., South San Francisco, California, USA.
  • de Sauvage FJ; Department of Molecular Biology, Genentech Inc., South San Francisco, California, USA.
  • Settleman J; Department of Discovery Oncology, Genentech Inc., South San Francisco, California, USA.
  • Seshagiri S; Department of Molecular Biology, Genentech Inc., South San Francisco, California, USA.
  • Zhang Z; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
Nat Biotechnol ; 33(3): 306-12, 2015 Mar.
Article en En | MEDLINE | ID: mdl-25485619
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Transcripción Genética / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nat Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Transcripción Genética / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nat Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos