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Updated: Feb 7, 2026
Hemogenic Reprogramming of Human Fibroblasts by Enforced Expression of Transcription Factors
Published on: November 4, 2019
Identification of transcription factors responsible for dysregulated networks in human osteoarthritis cartilage by
K M Fisch1, R Gamini2, O Alvarez-Garcia2
1Center for Computational Biology and Bioinformatics, Department of Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, USA.
Objective:
Osteoarthritis (OA) is the most prevalent joint disease. As disease-modifying therapies are not available, novel therapeutic targets need to be discovered and prioritized for their importance in mediating the abnormal phenotype of cells in OA-affected joints. Here, we generated a genome-wide molecular profile of OA to elucidate regulatory mechanisms of OA pathogenesis and to identify possible therapeutic targets using integrative analysis of mRNA-sequencing data obtained from human knee cartilage.
Design:
RNA-sequencing (RNA-seq) was performed on 18 normal and 20 OA human knee cartilage tissues. RNA-seq datasets were analysed to identify genes, pathways and regulatory networks that were dysregulated in OA.
Results:
RNA-seq data analysis revealed 1332 differentially expressed (DE) genes between OA and non-OA samples, including known and novel transcription factors (TFs). Pathway analysis identified 15 significantly perturbed pathways in OA with ECM-related, PI3K-Akt, HIF-1, FoxO and circadian rhythm pathways being the most significantly dysregulated. We selected DE TFs that are enriched for regulating DE genes in OA and prioritized these TFs by creating a cartilage-specific interaction subnetwork. This analysis revealed eight TFs, including JUN, Early growth response (EGR)1, JUND, FOSL2, MYC, KLF4, RELA, and FOS that both target large numbers of dysregulated genes in OA and are themselves suppressed in OA.
Conclusions:
We identified a novel subnetwork of dysregulated TFs that represent new mediators of abnormal gene expression and promising therapeutic targets in OA.
Insights
Researchers identified a novel network of transcription factors (TFs) that are dysregulated in osteoarthritis (OA). These TFs represent promising new therapeutic targets for treating this prevalent joint disease.
Area of Science:
- Genomics and Molecular Biology
- Orthopedics and Musculoskeletal Research
Background:
- Osteoarthritis (OA) is the most common joint disease globally.
- Currently, no disease-modifying therapies exist for OA.
- Identifying novel therapeutic targets is crucial for managing OA pathogenesis.
Purpose of the Study:
- To generate a genome-wide molecular profile of OA.
- To elucidate regulatory mechanisms underlying OA pathogenesis.
- To identify and prioritize potential therapeutic targets for OA.
Main Methods:
- Genome-wide mRNA sequencing (RNA-seq) was performed on human knee cartilage from normal and OA samples.
- Differential gene expression analysis identified dysregulated genes and pathways.
- Network analysis prioritized transcription factors (TFs) regulating OA-associated genes.
Main Results:
- 1332 differentially expressed genes were identified between OA and non-OA cartilage.
- Key dysregulated pathways include ECM-related, PI3K-Akt, HIF-1, FoxO, and circadian rhythm.
- A novel subnetwork of eight suppressed TFs (JUN, EGR1, JUND, FOSL2, MYC, KLF4, RELA, FOS) was identified, targeting many dysregulated OA genes.
Conclusions:
- A novel subnetwork of dysregulated transcription factors (TFs) was identified in osteoarthritis.
- These TFs are key mediators of abnormal gene expression in OA.
- This TF subnetwork represents promising therapeutic targets for osteoarthritis treatment.
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