4.6 Article

Use of integrative epigenetic and mRNA expression analyses to identify significantly changed genes and functional pathways in osteoarthritic cartilage

Journal

BONE & JOINT RESEARCH
Volume 7, Issue 5, Pages 343-350

Publisher

BRITISH EDITORIAL SOC BONE JOINT SURGERY
DOI: 10.1302/2046-3758.75.BJR-2017-0284.R1

Keywords

Osteoarthritic cartilage; DNA methylation profiles; mRNA expression profiles; Integrative analysis

Funding

  1. National Natural Scientific Fund of China [81472925, 81673112]
  2. Special Key Project for Intergovernmental Innovation and Cooperation of National Key Research and Development Plan [2016YFE0119100]
  3. Science and Technology Research and Development Program of in Shaanxi Province of China [2013KJXX-51]

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Aim Osteoarthritis (OA) is caused by complex interactions between genetic and environmental factors. Epigenetic mechanisms control the expression of genes and are likely to regulate the OA transcriptome. We performed integrative genomic analyses to define methylation-gene expression relationships in osteoarthritic cartilage. Patients and Methods Genome-wide DNA methylation profiling of articular cartilage from five patients with OA of the knee and five healthy controls was conducted using the Illumina Infinium Human-Methylation450 BeadChip (Illumina, San Diego, California). Other independent genome-wide mRNA expression profiles of articular cartilage from three patients with OA and three healthy controls were obtained from the Gene Expression Omnibus (GEO) database. Integrative pathway enrichment analysis of DNA methylation and mRNA expression profiles was performed using integrated analysis of cross-platform microarray and pathway software. Gene ontology (GO) analysis was conducted using the Database for Annotation, Visualization and Integrated Discovery (DAVID). Results We identified 1265 differentially methylated genes, of which 145 are associated with significant changes in gene expression, such as DLX5, NCOR2 and AXIN2 (all p-values of both DNA methylation and mRNA expression < 0.05). Pathway enrichment analysis identified 26 OA-associated pathways, such as mitogen-activated protein kinase (MAPK) signalling pathway (p = 6.25 x 10-4), phosphatidylinositol (PI) signalling system (p = 4.38 x 10-3), hypoxia-inducible factor 1 (HIF-1) signalling pathway (p = 8.63 x 10-3 pantothenate and coenzyme A (CoA) biosynthesis (p = 0.017), ErbB signalling pathway (p = 0.024), inositol phosphate (IP) metabolism (p = 0.025), and calcium signalling pathway (p = 0.032). Conclusion We identified a group of genes and biological pathways which were significantly different in both DNA methylation and mRNA expression profiles between patients with OA and controls. These results may provide new clues for clarifying the mechanisms involved in the development of OA.

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