Kim Tae Moon, Jeong Ha Jin, Seo Min Young, Kim Sang Chul, Cho Gabee, Park Chan Hee, Kim Tae Soo, Park Kyu Hyun, Chung Hyun Cheol, Rha Sun Young
Cancer Metastasis Research Center, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea.
Clin Cancer Res. 2005 Jan 1;11(1):79-86.
We evaluated the genome-wide gene expression profiles of various cancer cell lines to identify the gastrointestinal tract cancer cell-related genes.
Gene expression profilings of 27 cancer cell lines and 9 tissues using 7.5K human cDNA microarrays in indirect design with Yonsei reference RNA composed of 11 cancer cell line RNAs were done. The significant genes were selected using significant analysis of microarray in various sets of data. The selected genes were validated using real-time PCR analysis.
After intensity-dependent, within-print-tip normalization by loess method, we observed that expression patterns of cell lines and tissues were substantially different, divided in two discrete clusters. Next, we selected 115 genes that discriminate gastrointestinal cancer cell lines from others using significant analysis of microarray. Among the expression profiles of five gastric cancer cell lines, 66 genes were identified as differentially expressed genes related to metastatic phenotype. YCC-16, which was established from the peripheral blood of one advanced gastric cancer patient, produced a unique gene expression pattern resembling the profiles of lymphoid cell lines. Quantitative real-time reverse transcription-PCR results of selected genes, including PXN, KRT8, and ITGB5, were correlated to microarray data and successfully discriminate the gastrointestinal tract cancer cell lines from hematologic malignant cell lines.
A gene expression database could serve as a useful source for the further investigation of cancer biology using the cell lines.
我们评估了多种癌细胞系的全基因组基因表达谱,以鉴定与胃肠道癌细胞相关的基因。
使用7.5K人类cDNA微阵列,以由11种癌细胞系RNA组成的延世参考RNA进行间接设计,对27种癌细胞系和9种组织进行基因表达谱分析。在各种数据集里,使用微阵列显著性分析来选择显著基因。通过实时PCR分析对所选基因进行验证。
经黄土法进行强度依赖性、打印头内归一化后,我们观察到细胞系和组织的表达模式有显著差异,分为两个离散的簇。接下来,我们使用微阵列显著性分析选择了115个可区分胃肠道癌细胞系与其他细胞系的基因。在五种胃癌细胞系的表达谱中,有66个基因被鉴定为与转移表型相关的差异表达基因。从一名晚期胃癌患者外周血中建立的YCC-16呈现出一种独特的基因表达模式,类似于淋巴细胞系的表达谱。包括PXN、KRT8和ITGB5在内的所选基因的定量实时逆转录PCR结果与微阵列数据相关,并成功区分了胃肠道癌细胞系与血液系统恶性细胞系。
基因表达数据库可作为利用细胞系进一步研究癌症生物学的有用资源。