Analysis of gene expression profile in colon cancer using the Cancer Genome Anatomy Project and RNA interference.

Analysis of gene expression profile in colon cancer using the Cancer Genome Anatomy Project and RNA interference.
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DOI:
10.1111/j.1443-9573.2006.00254.x
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发表时间:
2006-01-01
期刊:
Chinese journal of digestive diseases
影响因子:
--
通讯作者:
Xiao, Shu Dong
Xiao, Shu Dong
中科院分区:
其他
文献类型:
--
作者:
Huang, Zhi Gang;Ran, Zhi Hua;Xiao, Shu Dong

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目的:研究结肠癌基因表达谱的变化,以进一步鉴定可能对该疾病的治疗有用的基因标记物。方法:利用癌症基因组解剖计划(CGAP)收集的基因表达系列分析(SAGE)数据检测正常组织和结肠癌之间的基因表达差异,并使用RT-PCR在20例患者样本中进一步证实。为明确差异基因在结肠癌细胞生长调控中的功能,采用RNA干扰技术(RNAi)对结肠癌细胞株HCT-116中的差异基因进行了阻断。在两个结肠癌SAGE文库中,观察到与两个正常组织相比,总共195个标签中的216个标签的表达变化大于两倍,160个转录标签(54个上调基因和136个下调基因)。随后通过RT-PCR对17个基因的分析证实了该分析的可靠性。RNAi介导的这些基因之一,转化生长因子(TGF)β 1,显着降低了结肠癌细胞株的生长。结论:CGAP分析和RNAi的组合提供了一个很好的系统,以快速定义的特定基因,在癌症中上调,影响癌细胞的生长。对这些差异表达基因的进一步研究,可能为结肠癌的检测和治疗提供基因标记。
OBJECTIVE: To investigate the changes in the gene expression profile in colon cancer to further identify gene markers that may be useful in the management of this disease.METHODS: Data from serial analysis of gene expression (SAGE) collected by the Cancer Genome Anatomy Project (CGAP) were used to detect the difference in gene expression between normal tissue and colon cancer, and were further confirmed in a sample of 20 patients using RT-PCR. To identify the functions of differential genes in regulating the cell growth of colon cancer, RNA interference (RNAi) was used to block one of these genes in the colon cancer cell line HCT-116.RESULTS: Expression changes of greater than twofold in two SAGE libraries of colon cancer compared to two of normal tissue were observed for 216 tags of a total of 195,160 transcript tags (54 up-regulated genes and 136 down-regulated genes). Subsequent analysis of 17 genes by RT-PCR confirmed the reliability of this analysis. RNAi-mediated blockage of one of these genes, transforming growth factor (TGF)beta1, significantly reduced the growth of a colon cancer cell line.CONCLUSIONS: The combination of CGAP analysis and RNAi provides an excellent system to rapidly define the specific genes that are up-regulated in cancer to impact the growth of cancer cells. Further study on these differential overexpressed genes may provide gene markers for the detection and treatment of colon cancer.