Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California, USA.
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.
Nat Biotechnol. 2015 Mar;33(3):306-12. doi: 10.1038/nbt.3080. Epub 2014 Dec 8.
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.
肿瘤衍生的细胞系一直是推进我们对癌基因功能和治疗反应理解的重要模型。尽管已经付出了很大努力来定义癌症细胞系面板的基因组组成,但转录组仍未得到充分研究。在这里,我们描述了 675 个人类癌细胞系的 RNA 测序和单核苷酸多态性 (SNP) 阵列分析。我们报告了转录组特征的全面分析,包括基因表达、突变、基因融合和非人类序列的表达。在列出的 2200 个融合基因中,有 1435 个融合基因包含以前未在融合基因中发现的基因,为进一步研究提供了许多线索。我们将多种基因组和转录组特征结合在基于途径的方法中,以增强对靶向治疗反应的预测。我们的研究结果为使用癌细胞系的研究提供了有价值的资源。