用生物信息学分析鉴定人类常染色体显性多囊肾病关键基因和候选通路

Dongmei Liu, Yongbao Huo, Sixiu Chen, Dechao Xu, Bo Yang, C. Xue, Lili Fu, L. Bu, Shuwei Song, C. Mei
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引用次数: 14

摘要

背景/目的:常染色体显性多囊肾病(ADPKD)是最常见的遗传性肾脏疾病。高通量微阵列分析已被用于阐明与ADPKD相关的关键基因和途径。大多数来自ADPKD患者的基因图谱数据已经上传到公共数据库,但没有进行彻底的分析。本研究整合了2个人类微阵列数据集,通过生物信息学分析阐明ADPKD的潜在途径和蛋白-蛋白相互作用(PPIs),以确定可能的治疗靶点。方法:从NCBI Gene Expression Omnibus中检索ADPKD患者和正常人的肾组织芯片数据。根据生物信息学分析方案,利用相关网站和软件对差异表达基因(DEGs)进行鉴定,并对富集途径和中心节点基因进行了解析。通过实时定量聚合酶链反应验证了多囊肾与对照肾样品之间的7个deg。结果:对两个原始的人体微阵列数据集GSE7869和GSE35831进行了整合和深入分析。从GSE7869和GSE35831中分别提取了6,422和1,152个deg,其中561个deg在数据库中是一致的(291个上调基因和270个下调基因)。从421个节点中,从DEGs的PPI网络复合体中获得34个中心节点基因。利用Cytotype MCODE从PPI网络复合体中筛选出两个显著的模块。大多数已鉴定的基因涉及蛋白质结合、细胞外区域或空间、血小板脱粒、线粒体和代谢途径。结论:通过综合生物信息学分析,确定了ADPKD中的deg和相关富集通路,为ADPKD的分子机制和潜在的治疗策略提供了见解。具体来说,在ADPKD的不同阶段,decorin的异常表达可能代表着ADPKD新的治疗靶点,对ADPKD代谢和线粒体功能的调控可能成为未来研究的重点。
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Identification of Key Genes and Candidated Pathways in Human Autosomal Dominant Polycystic Kidney Disease by Bioinformatics Analysis
Background/Aims: Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic form of kidney disease. High-throughput microarray analysis has been applied for elucidating key genes and pathways associated with ADPKD. Most genetic profiling data from ADPKD patients have been uploaded to public databases but not thoroughly analyzed. This study integrated 2 human microarray profile datasets to elucidate the potential pathways and protein-protein interactions (PPIs) involved in ADPKD via bioinformatics analysis in order to identify possible therapeutic targets. Methods: The kidney tissue microarray data of ADPKD patients and normal individuals were searched and obtained from NCBI Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified, and enriched pathways and central node genes were elucidated using related websites and software according to bioinformatics analysis protocols. Seven DEGs were validated between polycystic kidney disease and control kidney samples by quantitative real-time polymerase chain reaction. Results: Two original human microarray datasets, GSE7869 and GSE35831, were integrated and thoroughly analyzed. In total, 6,422 and 1,152 DEGs were extracted from GSE7869 and GSE35831, respectively, and of these, 561 DEGs were consistent between the databases (291 upregulated genes and 270 downregulated genes). From 421 nodes, 34 central node genes were obtained from a PPI network complex of DEGs. Two significant modules were selected from the PPI network complex by using Cytotype MCODE. Most of the identified genes are involved in protein binding, extracellular region or space, platelet degranulation, mitochondrion, and metabolic pathways. Conclusions: The DEGs and related enriched pathways in ADPKD identified through this integrated bioinformatics analysis provide insights into the molecular mechanisms of ADPKD and potential therapeutic strategies. Specifically, abnormal decorin expression in different stages of ADPKD may represent a new therapeutic target in ADPKD, and regulation of metabolism and mitochondrial function in ADPKD may become a focus of future research.
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