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Updated: Feb 3, 2026
Generation of Induced-pluripotent Stem Cells Using Fibroblast-like Synoviocytes Isolated from Joints of Rheumatoid Arthritis Patients
Published on: October 16, 2016
Effects of rheumatoid arthritis associated transcriptional changes on osteoclast differentiation network in the
Shilpa Harshan1, Poulami Dey1,2, Srivatsan Ragunathan1
1Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Background:
Osteoclast differentiation in the inflamed synovium of rheumatoid arthritis (RA) affected joints leads to the formation of bone lesions. Reconstruction and analysis of protein interaction networks underlying specific disease phenotypes are essential for designing therapeutic interventions. In this study, we have created a network that captures signal flow leading to osteoclast differentiation. Based on transcriptome analysis, we have indicated the potential mechanisms responsible for the phenotype in the RA affected synovium.
Method:
We collected information on gene expression, pathways and protein interactions related to RA from literature and databases namely Gene Expression Omnibus, Kyoto Encyclopedia of Genes and Genomes pathway and STRING. Based on these information, we created a network for the differentiation of osteoclasts. We identified the differentially regulated network genes and reported the signaling that are responsible for the process in the RA affected synovium.
Result:
Our network reveals the mechanisms underlying the activation of the neutrophil cytosolic factor complex in connection to osteoclastogenesis in RA. Additionally, the study reports the predominance of the canonical pathway of NF-κB activation in the diseased synovium. The network also confirms that the upregulation of T cell receptor signaling and downregulation of transforming growth factor beta signaling pathway favor osteoclastogenesis in RA. To the best of our knowledge, this is the first comprehensive protein-protein interaction network describing RA driven osteoclastogenesis in the synovium.
Discussion:
This study provides information that can be used to build models of the signal flow involved in the process of osteoclast differentiation. The models can further be used to design therapies to ameliorate bone destruction in the RA affected joints.
Insights
This study maps protein interactions driving osteoclast differentiation in rheumatoid arthritis (RA), revealing key signaling pathways like NF-κB. These findings offer new targets for therapies to prevent bone damage in RA joints.
Area of Science:
- Immunology
- Molecular Biology
- Rheumatology
Background:
- Rheumatoid arthritis (RA) involves osteoclast differentiation in synovium, leading to bone lesions.
- Understanding protein interactions is crucial for developing targeted RA therapies.
- This study focuses on mapping the signal flow in osteoclast differentiation within RA.
Purpose of the Study:
- To construct a comprehensive protein-protein interaction network for RA-driven osteoclastogenesis.
- To identify key signaling pathways and molecular mechanisms involved in RA synovium osteoclast differentiation.
- To provide a foundation for developing novel therapeutic strategies against bone destruction in RA.
Main Methods:
- Compiled RA-related gene expression, pathway, and protein interaction data from public databases (GEO, KEGG, STRING).
- Developed a network model to represent osteoclast differentiation signaling.
- Identified differentially regulated genes and key signaling pathways within the RA synovium context.
Main Results:
- The constructed network elucidates mechanisms of neutrophil cytosolic factor complex activation in RA osteoclastogenesis.
- Confirmed the dominance of the canonical Nuclear Factor kappa B (NF-κB) pathway in diseased synovium.
- Demonstrated that T cell receptor signaling upregulation and transforming growth factor beta signaling downregulation promote osteoclastogenesis in RA.
Conclusions:
- The study presents the first comprehensive protein-protein interaction network for RA-driven osteoclastogenesis in the synovium.
- Generated models of signal flow can guide the development of therapies targeting bone destruction in RA.
- This network provides critical insights into molecular mechanisms underlying RA pathogenesis and bone erosion.
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