SynthesisJournal of orthopaedic surgery and research2018
Detection of differentially expressed genes involved in osteoarthritis pathology.
Synthesis in Journal of orthopaedic surgery and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Integrated bioinformatics and network pharmacology to identify and validate macrophage polarization related hub genes in the treatment of osteoarthritis with Astragalus membranaceus.Journal of orthopaedic surgery and research · 2025Article
- Regulation of ferroptosis in osteoarthritis and osteoarthritic chondrocytes by typical MicroRNAs in chondrocytes.Frontiers in medicine · 2024Review
- Positive feedback loop of lncRNA FAM201A/miR‑146a‑5p/POU2F1 regulates IL‑1β‑induced chondrocyte injuryMolecular medicine reports · 2022Article
- Modulation of the long non-coding RNA Mir155hg by high, but not moderate, hydrostatic pressure in cartilage precursor cells.PloS one · 2022Article
- Article
- Whole-transcriptome sequencing of knee joint cartilage from osteoarthritis patients.Bone & joint research · 2019Article
- Gene set enrichment analysis and meta-analysis identified 12 key genes regulating and controlling the prognosis of lung adenocarcinoma.Oncology letters · 2019Article
- Exploring the Key Genes and Pathways of Osteoarthritis in Knee Cartilage in a Rat Model Using Gene Expression Profiling.Yonsei medical journal · 2018Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOsteoarthritis (OA) is the most common chronic disorder of joints; however, the key genes and transcription factors (TFs) associated with OA are still unclear. Through bioinformatics tools, the study aimed to understand the mechanism of genes associated with the development of OA.
methodsFour gene expression profiling datasets were used to identify differentially expressed genes (DEGs) between OA and healthy control samples by a meta-analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed with Multifaceted Analysis Tool for Human Transcriptome (MATHT). Subsequently, a protein-protein interaction (PPI) network was constructed for these DEGs. Significant network modules were identified using ReactomeFIViz, and the pathway of each module was enriched using MATHT. In addition, TFs in the DEGs were identified.
resultsIn total, 690 DEGs were identified between OA and healthy control samples, including 449 upregulated and 241 downregulated DEGs. Additionally, 622 nodes and 2752 interactions constituted the PPI network, including 401 upregulated and 221 downregulated DEGs. Among them, FOS, TWIST1, POU2F1, SMARCA4, and CREBBP were also identified as TFs. RT-PCR results showed that the expression levels of Fos, Twist1, Pou2f1, Smarca4, and Crebbp decreased in mice with OA. In addition, FOS, TWIST1, SMARCA4, and CREBBP were involved in the positive regulation of transcription from the RNA polymerase II promoter.
conclusionsTWIST1, POU2F1, SMARCA4, and CREBBP may play an important role in OA pathology.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.