Systemic lupus erythematosus Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with a global prevalence estimated at 3.41 million cases (WHO, 2023). Incidence ranges from 0.3 to 23.2 per 100,000 person-years, with a female-to-male ratio of 9:1. The 5-year survival rate exceeds 95% in developed countries, but morbidity remains high due to organ damage and infections (NCI). Risk factors include genetic predisposition, hormonal influences, and environmental triggers such as UV light and infections.

Value as a Research Model

SLE is ideal for mechanistic studies due to its complex autoimmune pathogenesis involving dysregulated innate and adaptive immunity. Public datasets such as GEO and ImmPort provide extensive transcriptomic and epigenetic data from patient samples. Open questions include the role of specific genetic variants in disease susceptibility and the molecular mechanisms driving flares. Gene-edited cell models enable functional validation of these variants and identification of novel therapeutic targets.

Core Molecular Pathogenesis

Major Autoimmune Pathways
  • • SLE pathogenesis involves several key pathways:
  • • Type I Interferon (IFN) Pathway: Overproduction of IFN-α by plasmacytoid dendritic cells drives immune dysregulation.
  • • B Cell Signaling: Enhanced B cell receptor signaling and defective tolerance lead to autoantibody production.
  • • T Cell Dysregulation: Abnormal T cell subsets, including Th17 and Tfh, promote inflammation.
  • • Neutrophil Extracellular Traps (NETs): Excessive NET formation exposes self-antigens and activates innate immunity.
High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
IRF515-20SNPsIncreased IFN production
STAT410-15SNPsEnhanced Th1 responses
TLR75-10Copy number gainIncreased IFN and autoantibody production
PTPN225-8MissenseAltered T cell signaling
BANK15-10SNPsB cell signaling modulation

Data from TCGA and COSMIC.

Deregulated Signaling Networks
  • • Key signaling networks in SLE include:
  • • Type I IFN Signaling: Activation of JAK-STAT pathway leads to expression of interferon-stimulated genes (ISGs).
  • • NF-κB Pathway: Involved in inflammatory cytokine production.
  • • PI3K/AKT/mTOR: Regulates lymphocyte survival and proliferation.
  • • MAPK Pathway: Modulates cytokine responses in immune cells.

Key nodes: IRF5, STAT4, TLR7, MyD88, TRAF6, and IKKα/β.

Experimental Model Systems

Cell Lines and Organoids
Cell LineOriginKey Mutations
HEK293Human embryonic kidneyNone (used for overexpression)
THP-1Human monocytic leukemiaNone (used for innate immune studies)
JurkatHuman T cell leukemiaNone (used for T cell signaling)
RajiHuman B cell lymphomaNone (used for B cell studies)

Organoids derived from patient tissues are emerging as more physiologically relevant models, but they are limited by complexity and cost.

Animal Models (PDX, GEMM, Induced)
  • • MRL/lpr mice: Spontaneous lupus-like disease with lymphoproliferation.
  • • NZB/W F1 mice: Spontaneous autoimmune disease resembling SLE.
  • • Induced models: Pristane-induced lupus in BALB/c mice.
  • • PDX models: Patient-derived xenografts are less common for SLE due to the immune component.
Gene-Edited Cell Models

CRISPR-based gene editing enables the creation of isogenic cell lines with specific genetic modifications, such as knockouts of susceptibility genes (e.g., IRF5) or knock-ins of disease-associated variants (e.g., TLR7 gain-of-function). These models are commercially available and sequence-verified, providing reproducible tools for mechanistic studies and drug screening. For example, an IRF5 knockout THP-1 line can be used to study IFN pathway regulation, while a TLR7 knock-in HEK293 line can be used for high-throughput screening of TLR7 inhibitors.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
Clec1a Knockout DC2.4 Cell Line EDJ-KQ78170 Mouse 243653 Details Get a Quote
IKBKE Knockout HEK293 Cell Line EDJ-KQ246 Human 9641 Details Get a Quote
IFNA14 Knockout HEK293 Cell Line EDJ-KQ469 Human 3448 Details Get a Quote
ZFP36 Knockout HEK293 Cell Line EDJ-KQ1014 Human 7538 Details Get a Quote
CRP Knockout HEK293 Cell Line EDJ-KQ1281 Human 1401 Details Get a Quote
CAMK4 Knockout HEK293 Cell Line EDJ-KQ1455 Human 814 Details Get a Quote
FCER1G Knockout HEK293 Cell Line EDJ-KQ1704 Human 2207 Details Get a Quote
MFGE8 Knockout HEK293 Cell Line EDJ-KQ1889 Human 4240 Details Get a Quote
DDX60L Knockout HEK293 Cell Line EDJ-KQ2065 Human 91351 Details Get a Quote
HNRNPAB Knockout HEK293 Cell Line EDJ-KQ2201 Human 3182 Details Get a Quote
LGALS1 Knockout HEK293 Cell Line EDJ-KQ2283 Human 3956 Details Get a Quote
CD6 Knockout HEK293 Cell Line EDJ-KQ2286 Human 923 Details Get a Quote
MS4A4A Knockout HEK293 Cell Line EDJ-KQ2296 Human 51338 Details Get a Quote
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Displaying Records 1 To 15 Of 426 Records

Applications of Gene-Edited Cells

Functional Genomics

Knockout and knock-in lines are used to validate the role of specific genes in SLE pathogenesis. For instance, knocking out IRF5 in THP-1 cells reduces IFN-α production, confirming its role in the pathway. Similarly, introducing a TLR7 gain-of-function mutation into HEK293 cells recapitulates enhanced signaling, enabling study of downstream effects.

Drug Screening and Resistance

Isogenic pairs (wild-type vs. knockout) are used in drug screening to identify compounds that specifically target the mutated pathway. For example, screening a library of kinase inhibitors against a STAT4 knockout line can reveal selective inhibitors. Resistance mechanisms can be studied by exposing cells to increasing drug concentrations and identifying genetic changes.

Biomarker Discovery

CRISPR synthetic lethality screens can identify genes that are essential only in the context of a specific mutation. For example, in a TLR7-activated cell line, knocking out genes involved in the IFN pathway may reveal novel therapeutic targets. Such screens can also identify biomarkers for patient stratification.

Public Data Resources

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaCancer genome data (not SLE-specific but useful for immune genes)
cBioPortalhttps://www.cbioportal.orgGenomic data visualization and analysis
DepMaphttps://depmap.orgCRISPR screens and cell line data
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression omnibus for transcriptomic data
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Clinical variant database
UniProthttps://www.uniprot.orgProtein sequence and function data

Frequently Asked Research Questions

THP-1 cells are commonly used due to their monocytic origin and responsiveness to TLR7/8 agonists.
Use CRISPR knock-in to introduce the specific mutation into a cell line like HEK293, which lacks endogenous TLR7.
Yes, commercially available, sequence-verified knockout and knock-in lines for genes like IRF5, STAT4, and TLR7 can be obtained from commercial sources.
Isogenic lines differ only in the targeted gene, allowing direct attribution of phenotypic changes to that gene.
Yes, they are ideal for HTS due to their reproducibility and scalability.

Key References and Database URLs

WHO https://www.who.int/news-room/fact-sheets/detail/systemic-lupus-erythematosus
NCI https://www.cancer.gov/about-cancer/causes-prevention/genetics
NCBI Gene https://www.ncbi.nlm.nih.gov/gene
TCGA https://www.cancer.gov/tcga
COSMIC https://cancer.sanger.ac.uk/cosmic
ClinVar https://www.ncbi.nlm.nih.gov/clinvar
UniProt https://www.uniprot.org
DepMap https://depmap.org
cBioPortal https://www.cbioportal.org
GEO https://www.ncbi.nlm.nih.gov/geo
NCI https://www.cancer.gov/about-cancer/understanding/statistics
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/
GEO https://www.ncbi.nlm.nih.gov/geo/
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