IFNAR2 (Interferon Alpha/Beta Receptor 2) is a type I transmembrane protein encoded by the IFNAR2 gene in humans (chromosome 21). It forms a heterodimeric receptor with IFNAR1 to bind type I interferons (α, β, ε, ω, κ) and initiate antiviral innate immune responses . The protein spans amino acids 27–243 in its canonical isoform, with structural domains including an extracellular fibronectin region and an intracellular signaling domain .
Ligand Binding: Type I IFN engages IFNAR1 and IFNAR2, bringing associated JAK1 (IFNAR2) and TYK2 (IFNAR1) kinases into proximity .
Kinase Activation: JAK1 and TYK2 cross-phosphorylate, activating STAT1/2/3 transcription factors .
Gene Regulation: Phosphorylated STAT proteins translocate to the nucleus, inducing interferon-stimulated genes (ISGs) like CXCL10 and ISG15 .
Viral Susceptibility: Homozygous IFNAR2 mutations (e.g., p.Ser53Pro) cause fatal susceptibility to live-attenuated vaccines (e.g., MMR) .
Immune Dysregulation: Deficiency leads to uncontrolled cytokine storms, as seen in hemophagocytic lymphohistiocytosis (HLH) .
Origin: Found in Inuit populations (Nunavik, Greenland, Alaska) due to founder effects .
Structural Impact: Proline substitution disrupts hydrogen bonds in the extracellular domain, impairing IFN binding .
Population Frequency:
Population | MAF (Heterozygous) | MAF (Homozygous) |
---|---|---|
Greenland | 0.024 | 0.0006 |
Nunavik | 0.034 | Rare |
Origin: Generated via transposon exonization, incorporating an Alu element .
Function: Acts as a decoy receptor, inhibiting IFN signaling by sequestering ligands .
Expression: Dominant isoform in most tissues, influencing viral responses (e.g., SARS-CoV-2) .
Isoform | Function | Expression |
---|---|---|
IFNAR2-L | Canonical signaling receptor | Low in most tissues |
IFNAR2-S | Decoy receptor | High, tissue-wide |
Sample Type | Average Recovery (%) | Range |
---|---|---|
Serum | 100 | 96–109 |
Heparin Plasma | 93 | 90–96 |
Cell Lysate | 88 | 81–98 |
Source: Abcam ELISA Kit (ab264610)
IFNAR2 is widely expressed across human tissues, with notable abundance in:
Interferon alpha/beta receptor 2, IFNAR2, IFN-alpha binding protein, Interferon alpha binding protein, Type I interferon receptor 2, interferon alpha/beta receptor 2 isoform a, IFN-R-2, IFNABR, IFNARB, IFN-alpha-REC, IFN-R, IMD45.
Sf9, Baculovirus cells.
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IFNAR2 is one of the two subunits of the type I interferon receptor (along with IFNAR1). It functions as part of the canonical interferon pathway that includes ligands, receptors, kinases, transcription factors, and interferon-stimulated genes (ISGs). When type I interferons bind to the receptor complex, they initiate signaling cascades that lead to STAT1 phosphorylation and subsequent transcription of ISGs, establishing an antiviral state in cells .
Methodologically, researchers can assess IFNAR2 function by examining:
STAT1 phosphorylation via western blotting
ISG induction via RNA-seq or qPCR
Antiviral responses using viral challenge assays
Chromosome 21 encodes four of the six interferon receptors: IFNAR1, IFNAR2, IFNGR2, and IL10RB, representing Type-I, -II, and -III interferon classes. IFNAR2 specifically binds type I interferons (IFN-α/β) and shows approximately 1.5-fold upregulation in Trisomy 21 cells, with relatively low levels of inter-individual variation . This is consistent with gene dosage effects observed in trisomy conditions.
To study these differences, researchers typically:
Compare receptor expression levels across different cell types using RNA-seq
Validate protein expression using western blotting or flow cytometry
Assess functional differences using phospho-specific antibodies against downstream signaling molecules
IFNAR2 deficiency represents a previously unreported primary immunodeficiency (PID) that directly informs our understanding of IFN-α/β in human antiviral immunity. Despite profound defects in IFN-α/β signaling that confer serious viral susceptibility in vitro and in vivo, patients may not show clinical vulnerability to commonly encountered viruses .
Key clinical observations include:
Severe adverse reactions to live viral vaccines (particularly MMR)
Susceptibility to neurotropic viruses
Surprisingly, intact control of certain herpesviruses like cytomegalovirus (CMV)
Absence of functional T cell defects, contrasting with mouse models
This suggests significant redundancy in human antiviral defense mechanisms compared to mouse models, where defects are more severe .
Trisomy 21 consistently activates interferon responses across multiple cell types. IFNAR2, being encoded on chromosome 21, shows increased expression in cells with Trisomy 21, contributing to constitutive activation of interferon signaling .
Research demonstrates:
Upregulation of IFNAR2 and other interferon receptors (IFNAR1, IFNGR2) in Trisomy 21 cells
Enhanced basal phosphorylation of STAT1
Increased expression of downstream interferon-stimulated genes
Conservation of this interferon activation in multiple cell types including fibroblasts, lymphoblastoids, and T cells
Similar findings in mouse models of Down syndrome (Dp16 mice)
Researchers employ multiple complementary approaches to assess IFNAR2 expression and function:
For expression analysis:
RNA-seq for transcriptome analysis of IFNAR2 mRNA levels
Western blotting for protein expression
Flow cytometry for surface expression on specific cell populations
ELISA for soluble IFNAR2 in plasma (typically using commercial kits with detection range of 0.16-16 ng/mL)
For signaling capacity:
Western blotting for STAT1 phosphorylation
RNA-seq or qPCR for ISG induction
Viral protection assays to assess functional outcomes
For comprehensive analysis, researchers often combine these approaches to correlate receptor expression with signaling outcomes and functional antiviral capacity .
Confirming IFNAR2 deficiency requires a multi-modal approach:
Genetic analysis: Identify potential pathogenic variants in the IFNAR2 gene
Functional testing: Assess cells' response to interferon stimulation by measuring:
STAT1 phosphorylation
ISG induction
Antiviral capacity against interferon-sensitive viruses
Complementation studies: Transduce patient cells with wild-type IFNAR2 to restore:
The combination of genetic and functional evidence is essential for definitive diagnosis of IFNAR2 deficiency.
Single-nucleotide variants (SNVs) in IFNAR2 have been associated with clinical outcomes in severe diseases, particularly COVID-19. Study results indicate:
IFNAR2 SNV | Genotypes | Non-survivors | Survivors | p-value | Odds Ratio (95% CI) | FDR |
---|---|---|---|---|---|---|
rs2834158 | TT vs TC+CC | 126 (29.6%) | 286 (36.9%) | 0.011 | 1.38 (1.07-1.79) | 0.027 |
The minor alleles of rs2834158, rs3153, and rs1051393 were found to be more frequent in non-survivor groups than in survivors of severe COVID-19, suggesting potential genetic risk factors .
Methodologically, these associations are typically identified through:
Case-control genetic association studies
Analysis using statistical software like PLINK
Correction for multiple comparisons (e.g., Benjamini-Hochberg method)
Calculation of odds ratios with confidence intervals
Linkage disequilibrium (LD) analysis is crucial when studying multiple variants within the IFNAR2 gene. High D' values (D'>0.80) between variants indicate they are inherited together more frequently than expected by chance .
Identify haplotype blocks within the IFNAR2 gene
Reduce redundancy in genetic testing by selecting tag SNPs
Interpret functional effects of variants in the context of linked mutations
Improve statistical power in association studies
Researchers typically perform LD analysis using specialized software and visualize results with LD plots showing D' or r² values between variant pairs.
In IFNAR2-deficient cells, transduction with wild-type IFNAR2 (IFNAR2c) rescues interferon signaling through multiple mechanisms:
Restoration of STAT1 tyrosine phosphorylation in response to IFN-α
Recovery of ISG induction following interferon stimulation
Reinstatement of control over replication of IFN-sensitive viruses
These complementation studies are critical for:
Confirming causality between IFNAR2 variants and observed phenotypes
Distinguishing IFNAR2 deficiency from other defects in the interferon pathway
Developing potential therapeutic approaches
Understanding structure-function relationships in the receptor
Soluble IFNAR2 (sIFNAR2) can be measured in plasma using ELISA techniques and may serve as a biomarker for disease severity and outcomes. Researchers typically:
Collect plasma samples by centrifugation of blood samples in EDTA tubes
Store samples at -80°C until analysis
Use commercial ELISA kits with appropriate standard curves
Analyze results in relation to:
The relationship between sIFNAR2 levels and disease outcomes provides insights into the regulatory role of soluble receptor forms in modulating interferon activity during infection or inflammation.
Human IFNAR2 deficiency presents with notable differences from mouse models, highlighting important evolutionary divergences in interferon biology:
Aspect | Human IFNAR2 Deficiency | Mouse Ifnar-/- Models |
---|---|---|
Viral susceptibility | Narrow spectrum, primarily to live-attenuated vaccines | Broad susceptibility to multiple viruses |
T cell function | Generally intact | Defects in T cell activation and maintenance |
Hematopoiesis | Normal | Impaired myelopoiesis |
Thymic development | Normal | Defects in T cell development |
These differences likely reflect evolutionary divergence between species and highlight the importance of studying human immunodeficiencies directly rather than relying solely on animal models .
Several potential compensatory mechanisms may explain the narrower clinical phenotype in human IFNAR2 deficiency compared to mouse models:
IFN-γ compensation: IFN-γ can generate an antiviral state in IFNAR2-deficient cells, suggesting a therapeutic avenue for patients with IFN-α/β signaling defects
Redundancy in innate immune recognition: Multiple pattern recognition pathways may compensate for defective interferon signaling
Robust adaptive immunity: Human adaptive immune responses may effectively control viral infections even with impaired innate antiviral mechanisms
Cell-type specific effects: The consequences of IFNAR2 deficiency may vary across tissues and cell types
Understanding these compensatory mechanisms requires integrative approaches combining cellular, molecular, and clinical studies.
Given IFNAR2's central role in interferon signaling, targeting this receptor represents a promising therapeutic approach:
Receptor antagonism: Development of antibodies or small molecules that block excessive interferon signaling in autoimmune diseases
Modulation of soluble receptor levels: Strategies to increase sIFNAR2 might attenuate hyperactive interferon responses
Targeted delivery of interferon: Cell-type specific activation of IFNAR2 signaling might enhance antiviral responses while limiting systemic effects
Genetic correction: For IFNAR2 deficiency, gene therapy approaches could restore functional receptor expression
These approaches require rigorous preclinical testing, including:
In vitro screening in relevant cell types
Validation in animal models
Careful assessment of potential effects on antiviral immunity
Studying IFNAR2 across diverse tissues and cell types presents several methodological challenges:
Tissue-specific expression patterns: IFNAR2 expression and signaling varies between tissues, requiring targeted sampling approaches
Inter-individual variation: Significant variation exists between individuals, necessitating larger sample sizes
Context-dependent signaling: IFNAR2 function depends on cellular context and the presence of other immune modulators
Technical limitations: Detection sensitivity for low-abundance receptors or transient signaling events
Integration of multi-omics data: Combining transcriptomic, proteomic, and functional data across tissues
Addressing these challenges requires:
Single-cell approaches to capture heterogeneity
Systems biology frameworks to integrate diverse data types
Advanced computational methods to identify context-dependent patterns
Several promising research directions for IFNAR2 in human disease include:
Precision medicine approaches: Using IFNAR2 genetic variants to predict disease outcomes and treatment responses
Therapeutic targeting: Development of modulators that can fine-tune interferon responses
Expanded understanding of tissue-specific roles: Investigation of IFNAR2 function in different organ systems
Integration with broader immune networks: Understanding how IFNAR2 interacts with other immune pathways
Long-term outcomes in IFNAR2 deficiency: Following rare patients with IFNAR2 deficiency to understand lifetime risks
IFNAR2 is a glycoprotein that belongs to the class II cytokine receptor family . It forms a heterodimeric receptor complex with IFNAR1, another subunit of the type I interferon receptor . This receptor complex binds to type I interferons, which include interferons-α, -β, -ε, -κ, -ω, and -ζ . Upon binding to these interferons, IFNAR2 activates several signaling pathways, including the JAK-STAT pathway, MAPK, PI3K, and Akt signaling pathways .
The activation of IFNAR2 leads to the transcription of over 2000 different genes, resulting in a wide range of biological effects . These effects include antiviral responses, modulation of cell differentiation, proliferation, apoptosis, and autophagy . The diverse effects of type I interferons are dependent on the cellular and environmental context .
Recombinant human IFNAR2 is produced using recombinant DNA technology, which involves inserting the gene encoding IFNAR2 into a suitable expression system, such as Chinese Hamster Ovary (CHO) cells . This allows for the large-scale production of IFNAR2 for research and therapeutic purposes. Recombinant IFNAR2 is used in various studies to understand its role in immune responses and to develop potential therapeutic applications .
The type I interferons, including those that bind to IFNAR2, have been extensively studied for their antiviral, antitumor, and immunomodulatory properties . Recombinant human IFNAR2 is used in research to explore these properties and to develop new treatments for viral infections, cancers, and autoimmune diseases .