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Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis

OBJECTIVES: The aim of this study was to identify key pathological genes in osteoarthritis (OA). METHODS: We searched and downloaded mRNA expression data from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) of joint synovial tissues from OA and normal individua...

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Autores principales: Zhang, X., Bu, Y., Zhu, B., Zhao, Q., Lv, Z., Li, B., Liu, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987685/
https://www.ncbi.nlm.nih.gov/pubmed/29922448
http://dx.doi.org/10.1302/2046-3758.74.BJR-2017-0245.R1
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author Zhang, X.
Bu, Y.
Zhu, B.
Zhao, Q.
Lv, Z.
Li, B.
Liu, J.
author_facet Zhang, X.
Bu, Y.
Zhu, B.
Zhao, Q.
Lv, Z.
Li, B.
Liu, J.
author_sort Zhang, X.
collection PubMed
description OBJECTIVES: The aim of this study was to identify key pathological genes in osteoarthritis (OA). METHODS: We searched and downloaded mRNA expression data from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) of joint synovial tissues from OA and normal individuals. Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analyses were used to assess the function of identified DEGs. The protein-protein interaction (PPI) network and transcriptional factors (TFs) regulatory network were used to further explore the function of identified DEGs. The quantitative real-time polymerase chain reaction (qRT-PCR) was applied to validate the result of bioinformatics analysis. Electronic validation was performed to verify the expression of selected DEGs. The diagnosis value of identified DEGs was accessed by receiver operating characteristic (ROC) analysis. RESULTS: A total of 1085 DEGs were identified. KEGG pathway analysis displayed that Wnt was a significantly enriched signalling pathway. Some hub genes with high interactions such as USP46, CPVL, FKBP5, FOSL2, GADD45B, PTGS1, and ZNF423 were identified in the PPI and TFs network. The results of qRT-PCR showed that GADD45B, ADAMTS1, and TFAM were down-regulated in joint synovial tissues of OA, which was consistent with the bioinformatics analysis. The expression levels of USP46, CPVL, FOSL2, and PTGS1 in electronic validation were compatible with the bio-informatics result. CPVL and TFAM had a potential diagnostic value for OA based on the ROC analysis. CONCLUSION: The deregulated genes including USP46, CPVL, FKBP5, FOSL2, GADD45B, PTGS1, ZNF423, ADAMTS1, and TFAM might be involved in the pathology of OA. Cite this article: X. Zhang, Y. Bu, B. Zhu, Q. Zhao, Z. Lv, B. Li, J. Liu. Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis. Bone Joint Res 2018;7:298–307. DOI: 10.1302/2046-3758.74.BJR-2017-0245.R1.
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spelling pubmed-59876852018-06-19 Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis Zhang, X. Bu, Y. Zhu, B. Zhao, Q. Lv, Z. Li, B. Liu, J. Bone Joint Res Cartilage OBJECTIVES: The aim of this study was to identify key pathological genes in osteoarthritis (OA). METHODS: We searched and downloaded mRNA expression data from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) of joint synovial tissues from OA and normal individuals. Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analyses were used to assess the function of identified DEGs. The protein-protein interaction (PPI) network and transcriptional factors (TFs) regulatory network were used to further explore the function of identified DEGs. The quantitative real-time polymerase chain reaction (qRT-PCR) was applied to validate the result of bioinformatics analysis. Electronic validation was performed to verify the expression of selected DEGs. The diagnosis value of identified DEGs was accessed by receiver operating characteristic (ROC) analysis. RESULTS: A total of 1085 DEGs were identified. KEGG pathway analysis displayed that Wnt was a significantly enriched signalling pathway. Some hub genes with high interactions such as USP46, CPVL, FKBP5, FOSL2, GADD45B, PTGS1, and ZNF423 were identified in the PPI and TFs network. The results of qRT-PCR showed that GADD45B, ADAMTS1, and TFAM were down-regulated in joint synovial tissues of OA, which was consistent with the bioinformatics analysis. The expression levels of USP46, CPVL, FOSL2, and PTGS1 in electronic validation were compatible with the bio-informatics result. CPVL and TFAM had a potential diagnostic value for OA based on the ROC analysis. CONCLUSION: The deregulated genes including USP46, CPVL, FKBP5, FOSL2, GADD45B, PTGS1, ZNF423, ADAMTS1, and TFAM might be involved in the pathology of OA. Cite this article: X. Zhang, Y. Bu, B. Zhu, Q. Zhao, Z. Lv, B. Li, J. Liu. Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis. Bone Joint Res 2018;7:298–307. DOI: 10.1302/2046-3758.74.BJR-2017-0245.R1. 2018-05-05 /pmc/articles/PMC5987685/ /pubmed/29922448 http://dx.doi.org/10.1302/2046-3758.74.BJR-2017-0245.R1 Text en © 2018 Author(s) et al. This is an open-access article distributed under the terms of the Creative Commons Attributions licence (CC-BY-NC), which permits unrestricted use, distribution, and reproduction in any medium, but not for commercial gain, provided the original author and source are credited.
spellingShingle Cartilage
Zhang, X.
Bu, Y.
Zhu, B.
Zhao, Q.
Lv, Z.
Li, B.
Liu, J.
Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis
title Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis
title_full Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis
title_fullStr Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis
title_full_unstemmed Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis
title_short Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis
title_sort global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis
topic Cartilage
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987685/
https://www.ncbi.nlm.nih.gov/pubmed/29922448
http://dx.doi.org/10.1302/2046-3758.74.BJR-2017-0245.R1
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