Systematic variation in gene expression patterns in human cancer cell lines

生物 基因表达 细胞培养 基因 基因表达谱 互补DNA 间质细胞 DNA微阵列 癌症 细胞 遗传学 计算生物学 癌症研究
作者
Douglas T. Ross,Uwe Scherf,Michael B. Eisen,Charles M. Perou,Catherine Rees,Paul T. Spellman,Venkateswaran K. Iyer,Stefanie S. Jeffrey,Matt van de Rijn,Mark Waltham,Alexander Pergamenschikov,Janice Lee,Deval Lashkari,Dari Shalon,Timothy G. Myers,John N. Weinstein,David Botstein,P O Brown
出处
期刊:Nature Genetics [Springer Nature]
卷期号:24 (3): 227-235 被引量:2089
标识
DOI:10.1038/73432
摘要

We used cDNA microarrays to explore the variation in expression of approximately 8,000 unique genes among the 60 cell lines used in the National Cancer Institute's screen for anti-cancer drugs. Classification of the cell lines based solely on the observed patterns of gene expression revealed a correspondence to the ostensible origins of the tumours from which the cell lines were derived. The consistent relationship between the gene expression patterns and the tissue of origin allowed us to recognize outliers whose previous classification appeared incorrect. Specific features of the gene expression patterns appeared to be related to physiological properties of the cell lines, such as their doubling time in culture, drug metabolism or the interferon response. Comparison of gene expression patterns in the cell lines to those observed in normal breast tissue or in breast tumour specimens revealed features of the expression patterns in the tumours that had recognizable counterparts in specific cell lines, reflecting the tumour, stromal and inflammatory components of the tumour tissue. These results provided a novel molecular characterization of this important group of human cell lines and their relationships to tumours in vivo.

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