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Related Concept Videos

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Related Experiment Video

Updated: Sep 28, 2025

An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
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Identification of Tissue-Specific Expressed Hub Genes and Potential Drugs in Rheumatoid Arthritis Using

Xuewu Xing1,2, Qun Xia1, Baoqi Gong3

  • 1Department of Orthopaedics, Tianjin First Central Hospital, Tianjin, China.

Frontiers in Genetics
|April 4, 2022
PubMed
Summary

This study identifies key genes and molecular pathways in rheumatoid arthritis (RA) using bioinformatics. SPAG5 and THEMIS2 show promise as diagnostic biomarkers for RA, while certain compounds may offer new therapeutic avenues.

Keywords:
GEO databasecompeting endogenous RNAhub generheumatoid arthritistissue specific

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Area of Science:

  • Bioinformatics
  • Genomics
  • Immunology

Background:

  • Rheumatoid arthritis (RA) is a prevalent autoimmune disease causing joint inflammation and damage.
  • The precise molecular mechanisms driving RA pathogenesis remain incompletely understood.

Purpose of the Study:

  • To identify tissue-specific expressed hub genes in RA using integrated bioinformatics.
  • To uncover potential therapeutic drug targets for RA treatment.

Main Methods:

  • Downloaded and analyzed human microarray datasets of fibroblast-like synoviocytes (FLS) from the GEO database.
  • Screened for differentially expressed genes (DEGs), miRNAs (DEMs), and lncRNAs (DELs).
  • Constructed protein-protein interaction (PPI) networks and identified hub genes, validated prognostic values, and screened for potential drugs using Connectivity Map (CMap).

Main Results:

  • Identified 418 DEGs, 23 DEMs, and 49 DELs; 64 DEGs were tissue-specific, predominantly from the immune system.
  • Enrichment analyses highlighted immune-related processes and the NF-κB pathway.
  • SPAG5, CUX2, and THEMIS2 were identified as tissue-specific hub genes with diagnostic value in RA versus osteoarthritis (OA).
  • Five compounds, including LY-294002 and trichostatin A, showed potential as anti-RA agents.
  • Constructed lncRNA-miRNA-mRNA networks, revealing potential regulatory interactions.

Conclusions:

  • Integrated bioinformatics analysis successfully identified tissue-specific hub genes and ceRNA networks in RA, aiding in understanding disease mechanisms.
  • SPAG5 and THEMIS2 are potential diagnostic biomarkers for RA.
  • LY-294002, trichostatin A, and troleandomycin may represent novel therapeutic options for RA.