人结肠癌第二代RNA测序数据的计算生物学研究流程  

The computation biology analysis protocol of next-generation high-throughput RNA-sequencing data from human colon cancer

作　　者：王文渊[1,2] 江华[2] 潘海霞[2] 杨浩[2,3] 彭谨[2] 周志远[2,4] WANG Wen-yuan;JIANG Hua;PAN Hai-xia;YANG Hao;PENG Jin;ZHOU Zhi-yuan(North Sichuan Medical College, Nanchong 637100, Sichuan, China;Metabolomics and Multidisciplinary Laboratory for Trauma Research, Institute for Emergency and Disaster Medicine, Sichuan Provincial People’s Hospital, Sichuan Academy of Medical Science, Chengdu 610101, China;School of Mathematical Sciences, Nankai University, Tianjin 300071, China;Department of Biochemistry, Southwest Medical University, Luzhou 646000, Sichuan, China)

机构地区：[1]川北医学院,四川南充637100 [2]四川省医学科学院/四川省人民医院/急诊医学与灾难医学研究所/创伤代谢组多学科实验室,成都610101 [3]南开大学数学科学学院,天津300071 [4]西南医科大学生物化学系,四川泸州646000

出　　处：《肿瘤代谢与营养电子杂志》2016年第3期178-183,共6页Electronic Journal of Metabolism and Nutrition of Cancer

基　　金：四川省科技厅项目(2011SZ0336;2012SZ0181和2015SZ0110)

摘　　要：目的以人结肠癌RNA测序数据分析为例,介绍新一代高通量中的RNA-seq技术在转录组与基因表达谱方面的应用。方法基于Linux平台的开源分析软件和人结肠癌RNA测序数据,建立完整的RNA-seq测序数据处理和分析流程,并对其中的软件选择、质量控制、下游分析进行讨论。结果基于现有主流的RNA-seq计算生物学分析技术,建立起了一套免费开源的RNA测序计算生物学处理和分析流程,并从中鉴定出了数个在结肠癌表达中存在显著差异的基因。结论这项研究为RNA-seq数据清理、计算建模和分析提供了具有良好操作性的方案。作为一个临床肿瘤RNA-seq研究范本,以供从事于类似研究的临床科研工作者参考。Objective To introduce an application of the next-generation high-throughput RNA-seq technology ontranscriptomes and gene expression profiles research, based on the RNA-seq data from human colon cancer. Methods Based on theopen-source analysis software of Linux platform and RNA-seq data from human colon cancer tissue, the complete workflow of RNAseqdata processing and analysis protocol would be established. And the software selection, quality control and downstream analysisin this workflow would be discussed. Results By using the mainstream RNA-seq computation biology techniques, a set of free andopen-source RNA-seq data processing and analysis computational biology protocol have been established. And there were severaldifference-expressed genes were identified from this human colon cancer RNA-seq data analysis workflow. Conclusions This studyprovided an easy-to-use protocol for RNA-seq data clean, computation modeling and analysis. As an example of clinical oncologyresearch, it could be referenced for the clinical investigators working on similar study.

关 键 词：结肠癌 RNA测序 下一代测序技术 转录组 计算生物学 

分 类 号：R735.35[医药卫生—肿瘤]