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

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

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.

Keywords: Differentially expressed gene; Enrichment analysis; Network; Steroid-induced necrosis of femoral head.

MeSH terms

  • Animals
  • Femur Head Necrosis / etiology
  • Femur Head Necrosis / genetics*
  • Gene Expression Profiling
  • Gene Regulatory Networks*
  • Rats
  • Steroids / adverse effects
  • Transcriptome*

Substances

  • Steroids