Rheumatoid arthritis Cell Models for Research
Disease Burden and Research Significance
Rheumatoid arthritis (RA) is a chronic autoimmune disease affecting approximately 0.5-1% of the global population, with a higher prevalence in women and older adults. According to the World Health Organization (WHO), RA can lead to significant disability and reduced quality of life. The disease is characterized by persistent synovial inflammation, leading to cartilage and bone destruction. The 5-year survival rate for RA patients is generally high, but comorbidities such as cardiovascular disease can reduce life expectancy. Early diagnosis and treatment are crucial to prevent irreversible joint damage.
RA is an ideal model for studying autoimmune mechanisms, chronic inflammation, and bone remodeling. The availability of well-characterized patient cohorts, synovial tissue samples, and extensive genomic data (e.g., GWAS) provides a rich resource for mechanistic studies. Key research questions include the roles of specific genetic risk variants, the interplay between innate and adaptive immunity, and the development of targeted therapies. Gene-edited cell models enable precise dissection of these pathways.
Core Molecular Pathogenesis
- • RA pathogenesis involves several key pathways:
- • NF-kB signaling: Central to pro-inflammatory cytokine production (e.g., TNF-alpha, IL-6).
- • JAK-STAT pathway: Mediates cytokine receptor signaling, promoting inflammation and immune cell activation.
- • RANKL/RANK/OPG axis: Regulates osteoclast differentiation and bone resorption.
- • T cell co-stimulation: CD28/CD80-86 interactions drive T cell activation and autoantibody production.
| Gene | Frequency (%) | Mutation Type | Functional Effect |
|---|---|---|---|
| HLA-DRB1 | ~60-70% | Risk allele (shared epitope) | Presents citrullinated peptides to T cells |
| PTPN22 | ~15-20% | Missense (R620W) | Alters T cell receptor signaling |
| STAT4 | ~10-15% | SNP (rs7574865) | Enhances STAT4 expression and Th1/Th17 responses |
| TRAF1/C5 | ~10% | SNP (rs10818488) | Modulates NF-kB and complement activation |
| PADI4 | ~8-10% | SNP (rs2240340) | Increases citrullination of proteins |
- • Key signaling networks in RA:
- • TNF-alpha signaling: Activates NF-kB and MAPK pathways, leading to cytokine production and apoptosis resistance.
- • IL-6 signaling: Activates JAK-STAT3, promoting Th17 differentiation and acute-phase response.
- • RANKL signaling: Activates NF-kB and AP-1, driving osteoclastogenesis.
- • PI3K/AKT/mTOR: Promotes synovial fibroblast proliferation and survival.
Experimental Model Systems
| Cell Line | Origin | Key Mutations/Features |
|---|---|---|
| MH7A | Human RA synovial fibroblast | Expresses TNF-alpha receptor, IL-6 |
| SW982 | Human synovial sarcoma | Constitutively active NF-kB |
| THP-1 | Human monocytic leukemia | Differentiates to macrophages, expresses TLRs |
| U937 | Human histiocytic lymphoma | Monocyte-like, used for macrophage studies |
Organoids derived from synovial tissue or induced pluripotent stem cells (iPSCs) can recapitulate the 3D architecture and cellular interactions of the inflamed joint, offering a more physiologically relevant model.
- • Animal models for RA:
- • Collagen-induced arthritis (CIA): Immunization with type II collagen induces autoimmune arthritis in susceptible strains.
- • Adjuvant-induced arthritis (AIA): Injection of complete Freund's adjuvant triggers T cell-mediated arthritis.
- • K/BxN serum transfer model: Passive transfer of anti-GPI antibodies induces arthritis.
- • Genetically engineered mouse models (GEMMs): Knockout or transgenic mice for TNF-alpha, IL-6, or HLA-DR4 shared epitope.
- • CRISPR-Cas9 gene editing enables the creation of isogenic cell lines with precise genetic modifications. For RA research, common models include:
- • TNF-alpha knockout in synovial fibroblasts: To study the role of TNF-alpha in inflammation and apoptosis.
- • NF-kB reporter cell lines: With a fluorescent or luciferase reporter under NF-kB response elements, enabling real-time monitoring of pathway activity.
- • PTPN22 R620W knock-in: To investigate the functional impact of this risk variant on T cell signaling.
- • HLA-DRB1 shared epitope knock-in: To study antigen presentation and T cell activation.
These sequence-verified, commercially available models accelerate research by providing consistent and reproducible systems, but they must be validated for the specific experimental context.
Related Disease
| Disease name | Disease type |
|---|
Related Services
Related Products
| Product name | Cat.No. | Species | Gene ID | |
|---|---|---|---|---|
| Pdcd1 Overexpression 4T1 Stable Cell Line | EDJ-GQ136 | Mouse | 18566 | Details Get a Quote |
| S100A9 Knockout A-549 Cell Line | EDC90108 | Human | 6280 | Details Get a Quote |
| Clec1a Knockout DC2.4 Cell Line | EDJ-KQ78170 | Mouse | 243653 | Details Get a Quote |
| Stab1 Knockout MB49 Cell Line | EDJ-KQ55 | Mouse | 192187 | Details Get a Quote |
| TNFRSF1A Knockout HEK293 Cell Line | EDC90705 | Human | 7132 | Details Get a Quote |
| MAP4K4 Knockout HEK293 Cell Line | EDJ-KQ100 | Human | 9448 | Details Get a Quote |
| VCAM1 Knockout HEK293 Cell Line | EDJ-KQ146 | Human | 7412 | Details Get a Quote |
| JUN Knockout HEK293 Cell Line | EDJ-KQ176 | Human | 3725 | Details Get a Quote |
| JUN Knockout HEK293T Cell Line | EDJ-KQ184 | Human | 3725 | Details Get a Quote |
| MAPK8 Knockout HEK293 Cell Line | EDJ-KQ193 | Human | 5599 | Details Get a Quote |
| NFATC1 Knockout HEK293 Cell Line | EDJ-KQ208 | Human | 4772 | Details Get a Quote |
| FUT8 Knockout HEK293T Cell Line | EDJ-KQ209 | Human | 2530 | Details Get a Quote |
| F2RL1 Knockout HEK293T Cell Line | EDJ-KQ222 | Human | 2150 | Details Get a Quote |
| IL15RA Knockout HEK293 Cell Line | EDJ-KQ485 | Human | 3601 | Details Get a Quote |
| IL7R Knockout HEK293 Cell Line | EDJ-KQ502 | Human | 3575 | Details Get a Quote |
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Applications of Gene-Edited Cells
- • Gene-edited cell lines are used to validate the functional role of genes implicated in RA. For example:
- • Knockout of TRAF1 in synovial fibroblasts reduces NF-kB activation and cytokine production, confirming its pro-inflammatory role.
- • Knock-in of PTPN22 R620W in T cell lines alters TCR signaling, providing evidence for its contribution to autoimmunity.
- • Isogenic pairs (wild-type vs. gene-edited) are used in high-throughput drug screens to identify compounds that selectively target specific pathways. For instance:
- • Screening for inhibitors of NF-kB using reporter cell lines.
- • Testing JAK inhibitors in STAT4 knockout cells to assess on-target effects.
- • Modeling resistance to anti-TNF therapy by knocking out TNFRSF1A and studying alternative inflammatory pathways.
- • CRISPR-based synthetic lethality screens can identify genes that are essential for survival in specific genetic backgrounds. In RA, this approach can uncover novel therapeutic targets. For example:
- • Screening for genes that become essential when PTPN22 is mutated.
- • Identifying vulnerabilities in synovial fibroblasts with activated NF-kB.
Public Data Resources
| Database | URL | Description |
|---|---|---|
| TCGA | https://www.cancer.gov/tcga | Cancer genomics data (not RA-specific, but useful for immune-related genes) |
| cBioPortal | https://www.cbioportal.org | Visualization and analysis of cancer genomics |
| DepMap | https://depmap.org | CRISPR screens and gene dependency data |
| GEO | https://www.ncbi.nlm.nih.gov/geo/ | Gene expression omnibus for microarray and RNA-seq data |
| GWAS Catalog | https://www.ebi.ac.uk/gwas/ | Genome-wide association studies for RA and other diseases |
Frequently Asked Research Questions
What is the best cell line for studying RA synovial fibroblasts?
How can I create a NF-kB reporter cell line?
Are there isogenic cell lines for RA risk variants?
Can gene-edited cells be used for drug screening?
What are the limitations of using cell lines for RA research?
Key References and Database URLs
| WHO Global Health Estimates | https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates |
|---|---|
| NCI SEER Cancer Statistics (RA comorbidity data) | https://seer.cancer.gov/ |
| NCBI Gene | https://www.ncbi.nlm.nih.gov/gene |
| GWAS Catalog | https://www.ebi.ac.uk/gwas/ |
| DepMap | https://depmap.org/portal/ |
| UniProt | https://www.uniprot.org/ |
| ClinVar | https://www.ncbi.nlm.nih.gov/clinvar/ |
| GEO | https://www.ncbi.nlm.nih.gov/geo/ |
| WHO | https://www.who.int/news-room/fact-sheets/detail/rheumatoid-arthritis |
| NCI | https://www.cancer.gov |
| NCBI Gene | https://www.ncbi.nlm.nih.gov/gene/ |
| DepMap | https://depmap.org/ |
| COSMIC | https://cancer.sanger.ac.uk/cosmic |