基因组、转录组及表观基因组在肺癌中的联合分析  

Integrative Analysis of Genome,Transcriptome and Epigenome in Lung Cancer

作　　者：杨惠敏 何斐[1] 胡志坚[1] YANG Huimin;HE Fei;HU Zhijian(Department of Epidemiology and Health Statistics,School of Public Health,Fujian Medical University,Fuzhou 350108,China)

机构地区：[1]福建医科大学公共卫生学院流行病与卫生统计学系,福州350108

出　　处：《肿瘤防治研究》2020年第9期702-707,共6页Cancer Research on Prevention and Treatment

基　　金：国家重点研发计划精准医学研究重点专项2017年度项目(2017YFC0907100);国家自然科学基金(81402738);福建省高校杰出青年科研人才培育计划(2017B019)。

摘　　要：随着以第二代测序技术为代表的高通量测序技术的快速发展,当前全基因组检测技术可以检测到基因组、转录组和表观基因组等多个层面的数据。生命体是一个复杂的调控系统,涉及诸多层次的复杂调控机制,基于单一组学数据分析致病因子显得局限,而通过各组学之间线性或非线性关系等可以将三者联系在一起,进而对多组学数据进行整合分析,为疾病研究提供新的思路。多组学联合分析广泛应用于各疾病邻域,在肺癌中也已有较多研究,而DNA或基因分子水平作为分子之间关联和复杂网络研究的基础尤为重要,因此本文就肺癌的基因组、转录组及表观基因组三个基于基因水平组学的联合研究进展作简要综述。With the rapid development of high-throughput sequencing technology represented by the second generation sequencing technology,whole-genome detection technology has been able to detect data from multiple levels,such as genome,transcriptome and epigenome.Biomass is a complicated regulatory system,involving many levels of complicated regulatory mechanism.Considering the limitation of single omics data analysis in exploring pathogenic factors,integrative multi-omics analysis with linear or nonlinear relationship can provide a new method for the study of the disease.Integrative analysis of multiple omics has widely used in various diseases,including lung cancer,and DNA or gene molecular level is particularly important as a basis for intermolecular correlations and complex networks.Hence,this paper briefly describes integrative analysis of genome,transcriptome and epigenome in lung cancer.

关 键 词：肺癌 多组学 基因组 转录组 表观基因组 

分 类 号：R734.2[医药卫生—肿瘤]