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基于基因表达谱鉴定与激素性股骨头坏死相关的潜在关键基因

Identification of potential crucial genes associated with steroid-induced necrosis of femoral head based on gene expression profile.

作者信息

Lin Zhe, Lin Yongsheng

机构信息

Department of Orthopedic Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province 050051, PR China.

出版信息

Gene. 2017 Sep 5;627:322-326. doi: 10.1016/j.gene.2017.05.026. Epub 2017 May 10.

DOI:10.1016/j.gene.2017.05.026
PMID:28501630
Abstract

The aim of this study was to explore potential crucial genes associated with the steroid-induced necrosis of femoral head (SINFH) and to provide valid biological information for further investigation of SINFH. Gene expression profile of GSE26316, generated from 3 SINFH rat samples and 3 normal rat samples were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified using LIMMA package. After functional enrichment analyses of DEGs, protein-protein interaction (PPI) network and sub-PPI network analyses were conducted based on the STRING database and cytoscape. In total, 59 up-regulated DEGs and 156 downregulated DEGs were identified. The up-regulated DEGs were mainly involved in functions about immunity (e.g. Fcer1A and Il7R), and the downregulated DEGs were mainly enriched in muscle system process (e.g. Tnni2, Mylpf and Myl1). The PPI network of DEGs consisted of 123 nodes and 300 interactions. Tnni2, Mylpf, and Myl1 were the top 3 outstanding genes based on both subgraph centrality and degree centrality evaluation. These three genes interacted with each other in the network. Furthermore, the significant network module was composed of 22 downregulated genes (e.g. Tnni2, Mylpf and Myl1). These genes were mainly enriched in functions like muscle system process. The DEGs related to the regulation of immune system process (e.g. Fcer1A and Il7R), and DEGs correlated with muscle system process (e.g. Tnni2, Mylpf and Myl1) may be closely associated with the progress of SINFH, which is still needed to be confirmed by experiments.

摘要

本研究旨在探索与激素性股骨头坏死(SINFH)相关的潜在关键基因,并为进一步研究SINFH提供有效的生物学信息。从基因表达综合数据库(GEO)下载了由3个SINFH大鼠样本和3个正常大鼠样本生成的GSE26316基因表达谱。使用LIMMA软件包鉴定差异表达基因(DEGs)。对DEGs进行功能富集分析后,基于STRING数据库和Cytoscape进行蛋白质-蛋白质相互作用(PPI)网络和子PPI网络分析。共鉴定出59个上调的DEGs和156个下调的DEGs。上调的DEGs主要参与免疫功能(如Fcer1A和Il7R),下调的DEGs主要富集于肌肉系统过程(如Tnni2、Mylpf和Myl1)。DEGs的PPI网络由123个节点和300个相互作用组成。基于子图中心性和度中心性评估,Tnni2、Mylpf和Myl1是前3个突出基因。这三个基因在网络中相互作用。此外,显著网络模块由22个下调基因(如Tnni2、Mylpf和Myl1)组成。这些基因主要富集于肌肉系统过程等功能。与免疫系统过程调节相关的DEGs(如Fcer1A和Il7R)以及与肌肉系统过程相关的DEGs(如Tnni2、Mylpf和Myl1)可能与SINFH的进展密切相关,仍需通过实验进行证实。

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