人结肠癌第二代RNA测序数据的计算生物学研究流程

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 on transcriptomes and gene expression proifles research, based on the RNA-seq data from human colon cancer.Methods Based on the open-source analysis software of Linux platform and RNA-seq data from human colon cancer tissue, the complete worklfow of RNA-seq data processing and analysis protocol would be established. And the software selection, quality control and downstream analysis in this worklfow would be discussed.Results By using the mainstream RNA-seq computation biology techniques, a set of free and open-source RNA-seq data processing and analysis computational biology protocol have been established. And there were several difference-expressed genes were identiifed from this human colon cancer RNA-seq data analysis worklfow.Conclusions This study provided an easy-to-use protocol for RNA-seq data clean, computation modeling and analysis. As an example of clinical oncology research, it could be referenced for the clinical investigators working on similar study.