Weighted Gene Co-expression Network Analysis of Key Biomarkers Associated With Bronchopulmonary Dysplasia.
Weighted Gene Co-expression Network Analysis of Key Biomarkers Associated With Bronchopulmonary Dysplasia.
复制标题
与支气管肺发育不良相关的关键生物标志物的加权基因共表达网络分析
DOI：
10.3389/fgene.2020.539292
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发表时间：
2020
影响因子：
3.7
通讯作者：
Hao H
中科院分区：
文献类型：
--
作者：
Cai Y;Ma F;Qu L;Liu B;Xiong H;Ma Y;Li S;Hao H
支气管肺发育不良（BPD）是一种由基因和环境相互作用引起的复杂疾病。BPD的准确分子病因在很大程度上仍不清楚。本研究旨在利用加权基因共表达网络分析（加权基因共表达网络分析，WGCNA）识别功能富集的bpd相关关键基因和通路。我们分析了来自Gene Expression Omnibus （GEO）的62例BPD早产儿和38例无BPD早产儿的微阵列数据。利用WGCNA构建基因表达网络，并将基因划分为确定的模块。此外，还对bpd相关枢纽基因进行了基因本体（GO）和京都基因与基因组百科全书（KEGG）分析。首先，构建加权基因共表达网络，将基因划分为10个模块；其中，黄色模块与BPD进展和严重程度相关，包括以下枢纽基因：MMP25、MMP9、SIRPA、CKAP4、SLCO4C1、SLC2A3；红色模块包含一些随着BPD进展而持续表达下降的共表达分子，包括以下枢纽基因：LEF1、ITK、CD6、RASGRP1、IL7R、SKAP1、CD3E和ICOS。GO和KEGG分析显示，炎症反应相关基因的高表达和T细胞受体激活相关基因的低表达与BPD的进展显著相关。因此，基于wgna的研究提供了BPD的整体视角，并为确定BPD发展的潜在途径和枢纽基因奠定了基础。
Bronchopulmonary dysplasia (BPD) is a complex disorder resulting from interactions between genes and the environment. The accurate molecular etiology of BPD remains largely unclear. This study aimed to identify key BPD-associated genes and pathways functionally enriched using weighted gene co-expression network analysis (WGCNA). We analyzed microarray data of 62 pre-term patients with BPD and 38 pre-term patients without BPD from Gene Expression Omnibus (GEO). WGCNA was used to construct a gene expression network, and genes were classified into definite modules. In addition, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of BPD-related hub genes were performed. Firstly, we constructed a weighted gene co-expression network, and genes were divided into 10 modules. Among the modules, the yellow module was related to BPD progression and severity and included the following hub genes: MMP25, MMP9, SIRPA, CKAP4, SLCO4C1, and SLC2A3; and the red module included some co-expression molecules that displayed a continuous decline in expression with BPD progression and included the following hub genes: LEF1, ITK, CD6, RASGRP1, IL7R, SKAP1, CD3E, and ICOS. GO and KEGG analyses showed that high expression of inflammatory response-related genes and low expression of T cell receptor activation-related genes are significantly correlated with BPD progression. The present WGCNA-based study thus provides an overall perspective of BPD and lays the foundation for identifying potential pathways and hub genes that contribute to the development of BPD.