Sequencing and bioinformatics analysis of the differentially expressed genes in herniated discs with or without calcification

被引:16
|
作者
Shao, Jia [1 ]
Yu, Miao [1 ]
Jiang, Liang [1 ]
Wu, Fengliang [1 ]
Liu, Xiaoguang [1 ]
机构
[1] Peking Univ, Dept Orthoped, Hosp 3, 49 North Garden Rd, Beijing 100191, Peoples R China
关键词
ossified disc; sequencing; differentially expressed genes; spinal disc herniation; bioinformatics analysis; BONE MORPHOGENETIC PROTEIN-2; HUMAN INTERVERTEBRAL DISC; LOW-BACK-PAIN; WNT/BETA-CATENIN; DEGENERATION; SCLEROSTIN; CELLS; OSSIFICATION; OSTEOCALCIN; SPINE;
D O I
10.3892/ijmm.2016.2821
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
The purpose of this study was to detect the differentially expressed genes between ossified herniated discs and herniated discs without ossification. In addition, we sought to identify a few candidate genes and pathways by using bioinformatics analysis. We analyzed 6 samples each of ossified herniated discs (experimental group) and herniated discs without ossification (control group). Purified mRNA and cDNA extracted from the samples were subjected to sequencing. The NOISeq method was used to statistically identify the differentially expressed genes (DEGs) between the 2 groups. An in-depth analysis using bioinformatics tools based on the DEGs was performed using Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, and protein-protein interaction network analysis. The top 6 DEGs were verified using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). A total of 132 DEGs was detected. A total of 129 genes in the ossified group were upregulated and 3 genes were found to be downregulated as compared to the control group. The top 3 cellular components in GO ontologies analysis were extracellular matrix components. GO functions were mainly related to the glycoprotein in the cell membrane and extracellular matrix. The GO process was related to completing response to stimulus, immune reflex and defense. The top 5 KEGG enrichment pathways were associated with infection and inflammation. Three of the top 20 DEGs [sclerostin (SOST), WNT inhibitory factor 1 (WIF1) and secreted frizzled related protein 4 (SFRP4)] were related to the inhibition of the Wnt pathway. The ossified discs exhibited a higher expression of the top 6 DEGs [SOST, joining chain of multimeric IgA and IgM (IGJ; also known as JCHAIN), defensin alpha 4 (DEFA4), SFRP4, proteinase 3 (PRTN3) and cathepsin G (CTSG)], with the associated P-values of 0.045, 0.000, 0.008, 0.010, 0.015 and 0.002, respectively, as calculated by the independent sample t-test. The gene expression profiling of the 2 groups revealed differential gene expression. Thus, our data suggest that Wnt pathway abnormality and local inflammation may be related to disc ossification.
引用
收藏
页码:81 / 90
页数:10
相关论文
共 50 条
  • [31] An Integrative Bioinformatics Analysis of Microarray Data for Identifying Differentially Expressed Genes in Preeclampsia
    L. M. Song
    M. Long
    S. J. Song
    J. R. Wang
    G. W. Zhao
    N. Zhao
    Russian Journal of Genetics, 2022, 58 : 866 - 875
  • [32] Bioinformatics analysis of differentially expressed genes in hyperplastic scars using microarray data
    Ding, Jiayue
    Xiang, Chun
    NUCLEOSIDES NUCLEOTIDES & NUCLEIC ACIDS, 2025,
  • [33] Bioinformatics analysis of differentially expressed genes in hepatocellular carcinoma cells exposed to Swertiamarin
    Tang, Haoran
    Ke, Yang
    Ren, Zongfang
    Lei, Xuefen
    Xiao, Shufeng
    Bao, Tianhao
    Shi, Zhitian
    Zou, Renchao
    Wu, Tiangen
    Zhou, Jian
    Geng, Chang-An
    Wang, Lin
    Chen, Jijun
    JOURNAL OF CANCER, 2019, 10 (26): : 6526 - 6534
  • [34] Identification of differentially expressed genes associated with lung adenocarcinoma via bioinformatics analysis
    Yang, Xinmeng
    Feng, Qingchuan
    Jing, Jianan
    Yan, Jiahui
    Zeng, Zhaoshu
    Zheng, Hao
    Cheng, Xiaoli
    GENERAL PHYSIOLOGY AND BIOPHYSICS, 2021, 40 (01) : 31 - 48
  • [35] Identification of differentially expressed genes and signaling pathways with Candida infection by bioinformatics analysis
    Guo-Dong Zhu
    Li-Min Xie
    Jian-Wen Su
    Xun-Jie Cao
    Xin Yin
    Ya-Ping Li
    Yuan-Mei Gao
    Xu-Guang Guo
    European Journal of Medical Research, 27
  • [36] Bioinformatics analysis of differentially expressed genes in ischemic cardiomyopathy using GEO Database
    Yan, Rui
    Song, Jiahui
    Guo, Ming
    Hao, Minghui
    CELLULAR AND MOLECULAR BIOLOGY, 2023, 69 (01) : 98 - 103
  • [37] Bioinformatics analysis of oxidative phosphorylation-related differentially expressed genes in osteoporosis
    Songmao Wang
    Yaling Wang
    Minfeng Gan
    Lei Wan
    Yapu Liu
    Yonghui Xu
    Zhenxing Hou
    Yongkang Deng
    Xuejian Wu
    European Journal of Medical Research, 30 (1)
  • [38] Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis
    Fatemeh Abdolahi
    Ali Shahraki
    Roghayeh Sheervalilou
    Sedigheh Sadat Mortazavi
    BMC Medical Genomics, 16
  • [39] Identification of Differentially Expressed Genes and Pathways in Human Atrial Fibrillation by Bioinformatics Analysis
    Pan, Defeng
    Zhou, Yufei
    Xiao, Shengjue
    Hu, Yue
    Huan, Chunyan
    Wu, Qi
    Wang, Xiaotong
    Pan, Qinyuan
    Liu, Jie
    Zhu, Hong
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2022, 15 : 103 - 114
  • [40] Identification of Differentially Expressed Genes and miRNAs for Ulcerative Colitis Using Bioinformatics Analysis
    Hu, Weitao
    Fang, Taiyong
    Chen, Xiaoqing
    FRONTIERS IN GENETICS, 2022, 13