Observational studyMedicine2020
Identification of the key gene and pathways associated with osteoarthritis via single-cell RNA sequencing on synovial fibroblasts.
Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Identification and Validation of Fibroblast-Associated Genes in Osteoarthritis Based on High-Dimensional Weighted Gene Coexpression Network Analysis.Journal of immunology research · 2025Article
- The Presentation, Clinical Diagnosis, Risk Factors, and Management of Rapidly Progressive Hip Osteoarthritis: A Narrative Literature Review.Journal of clinical medicine · 2024Review
- Impact of diabetes mellitus on osteoarthritis: a scoping review on biomarkers.Expert reviews in molecular medicine · 2024Article
- Single-cell RNA sequencing in osteoarthritis.Cell proliferation · 2023Review
- Current understanding of osteoarthritis pathogenesis and relevant new approaches.Bone research · 2022Review
- Multi-omics molecular biomarkers and database of osteoarthritis.Database : the journal of biological databases and curation · 2022Article
- Protein N-glycosylation aberrations and glycoproteomic network alterations in osteoarthritis and osteoarthritis with type 2 diabetes.Scientific reports · 2022Article
- The Crosstalk Between Immune Infiltration, Circulating Tumor Cells, and Metastasis in Pancreatic Cancer: Identification of HMGB3 From a Multiple Omics Analysis.Frontiers in genetics · 2022Article
- Consensus clustering of single-cell RNA-seq data by enhancing network affinity.Briefings in bioinformatics · 2021Article
- Single Cell Omics for Musculoskeletal Research.Current osteoporosis reports · 2021Review
- Recent Advances in Pharmacological Intervention of Osteoarthritis: A Biological Aspect.Frontiers in pharmacology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteoarthritis (OA) is a chronic degenerative joint disease with its onset closely related to the growth of synovial fibroblasts (SFs), yet the genes involved in are few reported. In our study, we aimed to identify the OA-associated key gene and pathways via the single-cell RNA sequencing (scRNA-seq) analysis on SFs.scRNA-seq data of SFs from OA sufferers were accessed from GEO database, then the genes involved in were subjected to principal component analysis (PCA) and T-Stochastic Neighbor Embedding (TSNE) Analysis. GO and KEGG enrichment analyses were performed to find the most enriched functions and pathways associated with marker genes and a PPI network was constructed to identify the key gene associated with OA occurrence.Findings revealed that marker genes in three cell types identified by TSNE were mainly activated in pathways firmly related to fibroblasts growth, such as extracellular matrix, immune and cell adhesion molecule binding-associated functions and pathways. Moreover, fibronectin1 (FN1) was validated as the key gene that was tightly related to the growth of SFs, as well as had the potential to play a key role in OA occurrence.Our study explored the key gene and pathways associated with OA occurrence, which were of great value in further investigation of OA diagnosis as well as pathogenesis.
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