ArticleYonsei medical journal2018
Exploring the Key Genes and Pathways of Osteoarthritis in Knee Cartilage in a Rat Model Using Gene Expression Profiling.
Article in Yonsei medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Uncovering the shared neuro-immune-related regulatory mechanisms between spinal cord injury and osteoarthritis.Heliyon · 2024Article
- Targeted transcriptomic analyses of RNA isolated from formalin-fixed and paraffin-embedded human menisci.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022Article
- Bioinformatics analysis and experimental validation of differentially expressed genes in mouse articular chondrocytes treated with IL-1β using microarray data.Experimental and therapeutic medicine · 2022Article
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- Mir24-2-5p suppresses the osteogenic differentiation with Gnai3 inhibition presenting a direct target via inactivating JNK-p38 MAPK signaling axis.International journal of biological sciences · 2021Article
- Bioinformatics analysis of differentially expressed genes in subchondral bone in early experimental osteoarthritis using microarray data.Journal of orthopaedic surgery and research · 2020Article
- Identification of differentially expressed miRNAs and mRNAs in synovial of osteoarthritis via RNA-sequencing.BMC medical genetics · 2020Article
- Identification of key gene modules and transcription factors for human osteoarthritis by weighted gene co-expression network analysis.Experimental and therapeutic medicine · 2019Article
- Article
- Dissection of the molecular targets and signaling pathways of Guzhi Zengsheng Zhitongwan based on the analysis of serum proteomics.Chinese medicine · 2019Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo compare differentially expressed genes (DEGs) mediating osteoarthritis (OA) in knee cartilage and in normal knee cartilage in a rat model of OA and to identify their impact on molecular pathways associated with OA. MATERIALS AND
methodsA gene expression profile was downloaded from the Gene Expression Omnibus database. Analysis of DEGs was carried out using GEO2R. Enrichment analyses were performed on the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway using the Search Tool for the Retrieval of Interacting Genes database (http://www.string-db.org/). Subsequently, the regulatory interaction network of OA-associated genes was visualized using Cytoscape software (version 3.4.0; www.cytoscape.org).
resultsIn the gene expression profile GSE103416, a total of 99 DEGs were identified. Among them, 76 DEGs (76.77%) were overexpressed, and the remaining 23 DEGs (23.23%) were underexpressed. GO and pathway enrichment analyses of target genes were performed. Using gene-gene interaction network analysis, relevant core genes, including MET, UBB, GNAI3, and GNA13, were shown to hold a potential relationship with the development of OA in cartilage. Using quantitative real-time PCR, the Gna13/cGMP-PKG signaling pathway was identified as a potential research target for therapy and for further understanding the development of OA.
conclusionThe results of the present study provide a comprehensive understanding of the roles of DEGs in knee cartilage in relation to the development of OA.
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