Suppr超能文献

通过基因转录调控网络分析与帕金森病相关的主转录因子

Analysis of master transcription factors related to Parkinson's disease through the gene transcription regulatory network.

作者信息

Wei Li, He Fei, Zhang Wen, Chen Wenhua, Yu Bo

机构信息

Department of Rehabilitation, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.

School of International Medical Technology, Shanghai Sanda University, Shanghai, China.

出版信息

Arch Med Sci. 2019 Oct 29;17(5):1184-1190. doi: 10.5114/aoms.2019.89460. eCollection 2021.

Abstract

INTRODUCTION

This study investigated the relationships between differentially co-expressed gene pairs or links (DCLs) and transcription factors (TFs) in the gene transcription regulatory network (GTRN) to clarify the molecular mechanisms underlying the pathogenesis of Parkinson's disease (PD).

MATERIAL AND METHODS

Microarray dataset GSE7621 from Gene Expression Omnibus (GEO) was used to identify differentially expressed genes (DEGs) and perform Gene Ontology (GO) enrichment analysis. Differentially co-expressed genes (DCGs) and DCLs were identified by the DCGL package in R soft-ware. DCLs that were potentially related to the regulation mechanisms, and corresponding TFs, were identified using the DR sort function in the DCGL V2.0 package. The GTRN was constructed with these DCLs-TFs, and visualized with Cytoscape software.

RESULTS

A total of 131 DEGs, including 77 up-regulated DEGs and 54 down-regulated DEGs, were identified, which were mainly enriched for plasma membrane, cell activities, and metabolism. We found that - and - might alter gene regulation relationships in PD. The GTRN was constructed with DCLs-TFs, including 348 nodes (118 TFs and 230 DCGs) and 1045 DCLs. These TFs (, , , etc.) could regulate many target genes (e.g. and ) in the GTRN of PD.

CONCLUSIONS

and may play a role in PD symptom development and pathology, and might be regulated by important TFs (, , , etc.) identified in the GTRN of PD. These findings may help elucidate the molecular mechanisms underlying PD and find a novel drug target for this disease.

摘要

引言

本研究调查了基因转录调控网络(GTRN)中差异共表达基因对或链接(DCLs)与转录因子(TFs)之间的关系,以阐明帕金森病(PD)发病机制的分子机制。

材料与方法

使用来自基因表达综合数据库(GEO)的微阵列数据集GSE7621来鉴定差异表达基因(DEGs)并进行基因本体(GO)富集分析。通过R软件中的DCGL包鉴定差异共表达基因(DCGs)和DCLs。使用DCGL V2.0包中的DR排序功能鉴定可能与调控机制相关的DCLs以及相应的TFs。用这些DCLs-TFs构建GTRN,并使用Cytoscape软件进行可视化。

结果

共鉴定出131个DEGs,包括77个上调的DEGs和54个下调的DEGs,它们主要富集于质膜、细胞活动和代谢。我们发现[具体基因1]和[具体基因2]可能会改变PD中的基因调控关系。用DCLs-TFs构建了GTRN,其中包括348个节点(118个TFs和230个DCGs)和1045个DCLs。这些TFs([具体TF1]、[具体TF2]、[具体TF3]等)可在PD的GTRN中调控许多靶基因(如[具体靶基因1]和[具体靶基因2])。

结论

[具体基因1]和[具体基因2]可能在PD症状发展和病理过程中起作用,并且可能受PD的GTRN中鉴定出的重要TFs([具体TF1]、[具体TF2]、[具体TF3]等)调控。这些发现可能有助于阐明PD的分子机制并找到针对该疾病的新药物靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e40/8425256/8b99a3f85578/AMS-17-5-94421-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验