生物信息学方法筛选结肠癌相关长链非编码RNA

目的 筛选结肠癌中差异表达长链非编码RNA（lncRNA）并探讨其表达情况。方法 从NCBI（美国国立生物技术信息中心）公共数据平台Gene Expression Omnibus（GEO）下载结肠癌基因芯片数据GSE41328，包含10对结肠癌组织及正常组织，用微阵列显著性分析（SAM）软件输出差异表达基因，信息学网站对基因重注释得到lncRNA名称，然后用Gene Cluster和TreeView软件分析差异表达lncRNA数据，进一步验证其表达情况。结果 分析GSE41328发现，与正常组织相比，结肠癌共有66个lncRNA差异表达，其中22个高表达，44个低表达，结肠癌与正常组织表达值倍数均大于2或小于0.5，差异有统计学意义。结论 运用生物信息学方法筛选结肠癌相关lncRNA，可为寻找新的肿瘤标志物提供新的途径，但其结果需要进一步实验验证。

Screening of Long Non-coding RNA in Colon Cancer by Bioinformatics

Objective To screen the differentially-expressed lncRNA and analyze its expression in colon cancer. Methods The publicly available gene chip data GSE413268, which consists of 10 paired colon cancers and normal tissues, were downloaded from the Gene Expression Omnibus (GEO) of National Center for Biotechnology Information (NCBI) . The data were analyzed by SAM software, which generated some differentially-expressed gene probes. Then we re-annotated the probes in some online websites and used the Gene Cluster and TreeView software to further validate the expression of lncRNA. Results There were 66 differentially-expressed lncRNA in colon cancer tissues compared with normal tissues, among which 22 were up-regulated and 44 were down-regulated. All lncRNA showed notably differential expression and the foldchange of gene expression was all more than 2 or less than 0.5. Conclusion The bioinformatics applied to screen cancer-related lncRNA provide a novel way to find new biomarkers, but further study is needed to validate the results.