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首页> 外文期刊>Journal of Cellular Physiology >Key genes and functional coexpression modules involved in the pathogenesis of systemic lupus erythematosus
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Key genes and functional coexpression modules involved in the pathogenesis of systemic lupus erythematosus

机译：关键基因和功能coexpression模块参与系统性红斑狼疮的发病机制全身性红斑狼疮

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摘要

We performed a systematic review of genome-wide gene expression datasets to identify key genes and functional modules involved in the pathogenesis of systemic lupus erythematosus (SLE) at a systems level. Genome-wide gene expression datasets involving SLE patients were searched in Gene Expression Omnibus and ArrayExpress databases. Robust rank aggregation (RRA) analysis was used to integrate those public datasets and identify key genes associated with SLE. The weighted gene coexpression network analysis (WGCNA) was adapted to identify functional modules involved in SLE pathogenesis, and the gene ontology enrichment analysis was utilized to explore their functions. The aberrant expressions of several randomly selected key genes were further validated in SLE patients through quantitative real-time polymerase chain reaction. Fifteen genome-wide gene expression datasets were finally included, which involved a total of 1,778 SLE patients and 408 healthy controls. A large number of significantly upregulated or downregulated genes were identified through RRA analysis, and some of those genes were novel SLE gene signatures and their molecular roles in etiology of SLE remained vague. WGCNA further successfully identified six main functional modules involved in the pathogenesis of SLE. The most important functional module involved in SLE included 182 genes and mainly enriched in biological processes, including defense response to virus, interferon signaling pathway, and cytokine-mediated signaling pathway. This study identifies a number of key genes and functional coexpression modules involved in SLE, which provides deepening insights into the molecular mechanism of SLE at a systems level and also provides some promising therapeutic targets.
机译：我们进行了全基因组的系统评价基因表达数据集来确定关键基因参与和功能模块系统性红斑狼疮的发病机制(系统性红斑狼疮)在系统水平上。表达数据集涉及系统性红斑狼疮患者搜索基因表达的综合ArrayExpress数据库。(基本)分析用于集成数据集和识别相关的关键基因系统性红斑狼疮。分析(WGCNA)是适应识别功能模块参与系统性红斑狼疮发病机理,和基因本体浓缩分析利用探索其功能。表达式的几个随机选择的关键基因在系统性红斑狼疮患者进一步验证通过定量实时聚合酶链式的反应。包括数据集终于,涉及一个共有1778个系统性红斑狼疮患者和408名健康控制。调节或表达下调基因通过基本分析,确定和一些的这些基因是基因签名和新颖的系统性红斑狼疮在系统性红斑狼疮的病因仍然是其分子作用模糊。主要功能模块参与系统性红斑狼疮的发病机制。功能模块参与系统性红斑狼疮包括182和主要富集在生物的基因流程中,包括防御应对病毒,干扰素信号通路cytokine-mediated信号通路。识别关键基因和功能coexpression模块参与系统性红斑狼疮,提供了分子深入洞察系统性红斑狼疮机制在系统层面和也提供了一些很有前途的治疗靶点。

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