Literature DB >> 25893343

Dysregulated COL3A1 and RPL8, RPS16, and RPS23 in Disc Degeneration Revealed by Bioinformatics Methods.

Zongde Yang1, Xin Chen, Qiulin Zhang, Bin Cai, Kai Chen, Ziqiang Chen, Yushu Bai, Zhicai Shi, Ming Li.   

Abstract

STUDY
DESIGN: Bioinformatics analysis of published microarray data.
OBJECTIVE: This study aimed to reveal the possible genes and pathways related to the pathogenesis of disc degeneration (DD) by analyzing the microarray data. SUMMARY OF BACKGROUND DATA: DD is one of the main causes of low back pain, which has become an enormous economic burden for society.
METHODS: Gene expression data of annulus cells and nucleus pulposus cells from patients with DD and controls subjects were downloaded from Gene Expression Omnibus. T test and enrichment analysis were used to identify differentially expressed genes (DEGs) and DEGs-associated functions and pathways in DD, respectively. Protein-protein interaction network and module were constructed to analyze the key nodes associated with this disease.
RESULTS: A total of 326 DEGs and 35 DEGs were obtained from the annulus cells and nucleus pulposus cells, respectively. The DEGs of DD in annulus cells were mainly involved in translation, cell adhesion, cell death regulation, and skeletal system development whereas the DEGs in nucleus pulposus cells were mainly related to the biological processes of vascular system development, skeletal system development, and enzyme-linked receptor protein signaling pathway. COL3A1 was the common DEG in both annulus cells and nucleus pulposus cells. The genes encode ribosomal proteins (RPL8, RPS16, and RPS23) in module were enriched in biological processes of translation, translation elongation, and RNA processing.
CONCLUSION: The results revealed the involvement of COL3A1 in skeletal system process and RPL8, RPS16, and RPS23 in the protein synthesis processes in the progression of DD, suggesting their potential use in the diagnosis and therapy of DD. LEVEL OF EVIDENCE: N/A.

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Year:  2015        PMID: 25893343     DOI: 10.1097/BRS.0000000000000939

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  6 in total

1.  Identification of critical genes in nucleus pulposus cells isolated from degenerated intervertebral discs using bioinformatics analysis.

Authors:  Zhuangchen Zhu; Guang Chen; Wei Jiao; Defeng Wang; Yan Cao; Qingfu Zhang; Junqin Wang
Journal:  Mol Med Rep       Date:  2017-05-31       Impact factor: 2.952

2.  Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations.

Authors:  Yan Li; Dayou Liu; Tengfei Li; Yungang Zhu
Journal:  BMC Bioinformatics       Date:  2020-01-09       Impact factor: 3.169

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4.  Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis.

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Journal:  Front Endocrinol (Lausanne)       Date:  2020-12-17       Impact factor: 5.555

Review 5.  A New Hope in Spinal Degenerative Diseases: Piezo1.

Authors:  Daxue Zhu; Guangzhi Zhang; Xudong Guo; Yidian Wang; Mingqiang Liu; Xuewen Kang
Journal:  Biomed Res Int       Date:  2021-01-25       Impact factor: 3.411

6.  Computational screening of potential glioma-related genes and drugs based on analysis of GEO dataset and text mining.

Authors:  Zhengye Jiang; Yanxi Shi; Guowei Tan; Zhanxiang Wang
Journal:  PLoS One       Date:  2021-02-26       Impact factor: 3.240

  6 in total

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