Open Access

Screening and verification of hub genes involved in osteoarthritis using bioinformatics

  • Authors:
    • Junxiong Xie
    • Zhiqin Deng
    • Murad Alahdal
    • Jianquan Liu
    • Zhe Zhao
    • Xiaoqiang Chen
    • Guanghui Wang
    • Xiaotian Hu
    • Li Duan
    • Daping Wang
    • Wencui Li
  • View Affiliations

  • Published online on: February 8, 2021     https://doi.org/10.3892/etm.2021.9761
  • Article Number: 330
  • Copyright: © Xie et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Osteoarthritis (OA) is one of the most common causes of disability and its development is associated with numerous factors. A major challenge in the treatment of OA is the lack of early diagnosis. In the present study, a bioinformatics method was employed to filter key genes that may be responsible for the pathogenesis of OA. From the Gene Expression Omnibus database, the datasets GSE55457, GSE12021 and GSE55325 were downloaded, which comprised 59 samples. Of these, 30 samples were from patients diagnosed with osteoarthritis and 29 were normal. Differentially expressed genes (DEGs) were obtained by downloading and analyzing the original data using bioinformatics. The Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathways were analyzed using the Database for Annotation, Visualization and Integrated Discovery online database. Protein‑protein interaction network analysis was performed using the Search Tool for the Retrieval of Interacting Genes/proteins online database. BSCL2 lipid droplet biogenesis associated, seipin, FOS‑like 2, activator protein‑1 transcription factor subunit (FOSL2), cyclin‑dependent kinase inhibitor 1A (CDKN1A) and kinectin 1 (KTN1) genes were identified as key genes by using Cytoscape software. Functional enrichment revealed that the DEGs were mainly accumulated in the ErbB, MAPK and PI3K‑Akt pathways. Reverse transcription‑quantitative PCR analysis confirmed a significant reduction in the expression levels of FOSL2, CDKN1A and KTN1 in OA samples. These genes have the potential to become novel diagnostic and therapeutic targets for OA.
View Figures
View References

Related Articles

Journal Cover

April-2021
Volume 21 Issue 4

Print ISSN: 1792-0981
Online ISSN:1792-1015

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Xie J, Deng Z, Alahdal M, Liu J, Zhao Z, Chen X, Wang G, Hu X, Duan L, Wang D, Wang D, et al: Screening and verification of hub genes involved in osteoarthritis using bioinformatics. Exp Ther Med 21: 330, 2021.
APA
Xie, J., Deng, Z., Alahdal, M., Liu, J., Zhao, Z., Chen, X. ... Li, W. (2021). Screening and verification of hub genes involved in osteoarthritis using bioinformatics. Experimental and Therapeutic Medicine, 21, 330. https://doi.org/10.3892/etm.2021.9761
MLA
Xie, J., Deng, Z., Alahdal, M., Liu, J., Zhao, Z., Chen, X., Wang, G., Hu, X., Duan, L., Wang, D., Li, W."Screening and verification of hub genes involved in osteoarthritis using bioinformatics". Experimental and Therapeutic Medicine 21.4 (2021): 330.
Chicago
Xie, J., Deng, Z., Alahdal, M., Liu, J., Zhao, Z., Chen, X., Wang, G., Hu, X., Duan, L., Wang, D., Li, W."Screening and verification of hub genes involved in osteoarthritis using bioinformatics". Experimental and Therapeutic Medicine 21, no. 4 (2021): 330. https://doi.org/10.3892/etm.2021.9761