技术文章

Roles of Interferon-Stimulated Genes in Antiviral Immunity: RIG-I, MDA5, IFI35, and ISG Expression Regulation

Interferon-stimulated genes (ISGs) constitute the core effector layer for establishing the cellular antiviral state. After viral RNA is recognized by pattern recognition receptors such as RIG-I and MDA5, type I/type III interferon production can be induced through MAVS, TBK1, IRF3/IRF7, and NF-κB. These interferons then drive ISG expression through the JAK-STAT pathway. ISG-related regulatory factors such as IFI35 can participate in fine regulation of the intensity, duration, and inflammatory output of the interferon response.

 

Keywords: interferon-stimulated genes; RIG-I; MDA5; IFI35; ISG; antiviral immunity; type I interferon; JAK-STAT

 

1 Research Logic of Interferon-Stimulated Genes and Antiviral Immunity

1.1 Functional positioning of ISGs

(1) Execution of antiviral effects

ISGs are a group of effector genes induced after interferon signaling is activated. Their functions cover multiple stages, including restriction of viral entry, viral RNA degradation, inhibition of protein translation, interference with viral replication complexes, suppression of particle assembly, and immune marking of infected cells. Common ISGs include ISG15, MX1, OAS1, OAS2, IFIT1, IFIT2, IFIT3, RSAD2, PKR/EIF2AK2, IFITM1/2/3, and BST2.

(2) Signal amplification and feedback regulation

ISGs are not only terminal antiviral effector molecules; they can also participate in upstream signal regulation. Some ISGs enhance viral nucleic acid recognition or promote interferon responses, whereas others limit excessive inflammation and persistent JAK-STAT activation. In antiviral immunity research, both the effector functions and feedback-regulatory functions of ISGs should be considered.

(3) Cell-type dependence

ISG expression profiles differ substantially among cell types. Epithelial cells, macrophages, dendritic cells, hepatocytes, neurons, and tumor cells respond differently to viral infection, dsRNA mimics, type I interferons, or type III interferons. Experimental design should not rely on a single ISG. Instead, marker combinations should be selected according to cell type, virus type, and infection stage.

 

1.2 Basic axis of antiviral signaling

(1) Viral RNA recognition

RIG-I and MDA5 are key RLR (RIG-I-like receptor) members in cytosolic RNA virus recognition. RIG-I preferentially recognizes viral RNA with 5′-triphosphate ends, short double-stranded regions, or specific terminal structures. MDA5 is more commonly associated with long double-stranded RNA or replication intermediates. Although they recognize different RNA substrates, both can connect downstream antiviral signaling through MAVS.

(2) Interferon induction

After RIG-I or MDA5 activation, MAVS forms a signaling platform on the outer mitochondrial membrane and further activates TBK1, IKKε, IRF3, IRF7, and NF-κB. IRF3/IRF7 promotes transcription of IFNB1, IFNA subtypes, and some interferon-related genes, whereas NF-κB drives expression of inflammatory cytokines and chemokines such as TNF, IL6, CXCL10, and CCL5.

(3) ISG expression execution

Secreted IFN-β, IFN-α, or IFN-λ binds to the corresponding receptors and activates JAK1, TYK2, STAT1, and STAT2. STAT1, STAT2, and IRF9 form the ISGF3 complex, which enters the nucleus and induces ISRE-dependent ISG expression. At this stage, cells enter an antiviral alert state and restrict viral replication and spread.

 

Table 1 RIG-I/MDA5-IFN-ISG Antiviral Signaling Framework

 

Analysis Level

Core Molecules

Recommended Methods

Interpretation Focus

Viral RNA recognition

RIG-I/DDX58, MDA5/IFIH1

qPCR, Western blot, IF, knockdown/knockout

Distinguish viral RNA recognition receptor source and activation conditions

Adaptor signaling

MAVS

Western blot, IF, mitochondrial localization analysis

Determine whether RLR signaling enters the MAVS platform

Kinase activation

TBK1, IKKε, p-TBK1

Western blot, phospho-antibody detection

Evaluate key nodes upstream of IRF3 activation

Transcription factor activation

IRF3, p-IRF3, IRF7, NF-κB p65

Western blot, nuclear translocation, reporter assay

Determine initiation of interferon and inflammatory cytokine transcription

Interferon production

IFNB1, IFNA, IFNL1/2/3

qPCR, ELISA, reporter assay

Distinguish type I and type III interferon responses

ISG expression

ISG15, MX1, OAS1, IFIT1, RSAD2, IFI35

qPCR, Western blot, RNA-seq

Evaluate the establishment of the antiviral state

Antiviral effects

Viral RNA, viral protein, infection rate, viral titer

qPCR, TCID50, plaque assay, IF

Link signaling changes with viral replication outcomes

 

2 Division of Labor Between RIG-I and MDA5 in Viral RNA Recognition

2.1 RIG-I signaling features

(1) Recognition of short RNA and 5′-triphosphate structures

RIG-I is encoded by DDX58 and functions as a cytosolic RNA sensor. It commonly recognizes RNA with 5′-triphosphate or 5′-diphosphate ends, short double-stranded structures, or specific viral RNA conformations. Many negative-strand RNA viruses, replication intermediates of some positive-strand RNA viruses, and synthetic 5′ppp RNA can induce RIG-I activation.

(2) CARD domain-mediated MAVS activation

After binding viral RNA, RIG-I undergoes a conformational change that exposes its N-terminal CARD domains, allowing interaction with MAVS. Activated MAVS further recruits downstream kinase complexes and initiates IRF3/IRF7 and NF-κB pathway activation.

(3) Key points for experimental interpretation

Increased RIG-I expression does not equal RIG-I activation. Studies should evaluate RIG-I protein conformation, downstream MAVS signaling, p-TBK1, p-IRF3, IFNB1, and ISG expression together. If RIG-I increases but IFNB1 and ISGs show no obvious change, this may indicate a pre-activated state, feedback induction, or insufficient recognition substrate.

 

2.2 MDA5 signaling features

(1) Recognition of long dsRNA or viral replication intermediates

MDA5 is encoded by IFIH1 and is commonly associated with recognition of long double-stranded RNA, viral replication intermediates, and some positive-strand RNA viruses. High-molecular-weight Poly(I:C) is often used to mimic MDA5-related dsRNA stimulation, but the actual response is still influenced by delivery method, cell type, and endosomal TLR3 background.

(2) Oligomerization and signaling threshold

MDA5 recognition of long dsRNA usually involves assembly and oligomerization along the RNA molecule. Its signaling initiation has a threshold-like feature. Low-level or short-fragment dsRNA may not be sufficient to induce strong MDA5 signaling. High-dose stimulation may trigger strong interferon responses and cytotoxicity, so cell viability should be assessed in parallel.

(3) Complementary relationship with RIG-I

RIG-I and MDA5 differ in their preferences for virus types and RNA conformations, but cross-regulation or stage-specific cooperation can occur in many viral infections. During early infection, RIG-I may respond more rapidly to specific viral RNA structures. During middle or late replication stages, MDA5 may contribute more strongly to accumulated dsRNA intermediates. Knockdown, knockout, or specific stimulant comparison should be used to determine their respective roles.

 

2.3 Interpretation of RIG-I/MDA5 results

(1) Interpretation by virus type

Influenza virus, VSV, and SeV are commonly used in RIG-I-related signaling studies. EMCV, some small RNA viruses, and long dsRNA mimics are commonly used in MDA5-related studies. Different viruses differ in replication mode, RNA structure, and immune evasion proteins, so one viral model cannot represent all RLR signaling.

(2) Interpretation by stimulation method

Transfection of 5′ppp RNA, short dsRNA, or extracted viral RNA is more suitable for evaluating RIG-I. Cytosolic delivery of high-molecular-weight Poly(I:C) is more suitable for evaluating MDA5. If Poly(I:C) is directly added to the culture medium without transfection, the result may involve more TLR3 or endocytic pathways.

(3) Interpretation by downstream signaling

Both RIG-I and MDA5 signal through MAVS into the TBK1-IRF3 and NF-κB pathways. Therefore, increased IFNB1 or ISG expression alone cannot distinguish the specific upstream receptor. Interpretation should integrate DDX58 knockdown/knockout, IFIH1 knockdown/knockout, MAVS deficiency, stimulant type, and viral model.

 

Table 2 Comparison of Antiviral Recognition Features of RIG-I and MDA5

 

Comparison Dimension

RIG-I/DDX58

MDA5/IFIH1

Main recognition targets

5′-triphosphate RNA, short dsRNA, specific viral RNA structures

Long dsRNA, viral replication intermediates, high-molecular-weight dsRNA

Typical stimulants

5′ppp RNA, short dsRNA, some viral RNA

High-molecular-weight Poly(I:C), long dsRNA, replication products of specific RNA viruses

Key adaptor protein

MAVS

MAVS

Major downstream pathways

TBK1-IRF3, NF-κB

TBK1-IRF3, NF-κB

Common readouts

IFNB1, CXCL10, ISG15, MX1, p-IRF3

IFNB1, IFIT1, OAS1, MX1, p-IRF3

Optimization focus

Stimulatory RNA configuration, transfection efficiency, RIG-I activation status

dsRNA length, cytosolic delivery, stimulation dose, and cytotoxicity

Interpretation risk

Increased RIG-I expression does not equal activation

Poly(I:C) results may include TLR3 signaling

 

3 Regulatory Position of IFI35 in the Interferon Response

3.1 Basic features of IFI35

(1) Interferon-induced expression

IFI35 is an interferon-inducible protein and can be upregulated after viral infection, type I interferon stimulation, or inflammatory signaling activation. Its expression changes often appear together with ISG expression profiles, so it can serve as one indicator of interferon-response status.

(2) Feedback regulatory properties

IFI35 is not a typical viral RNA sensor, nor is it a direct antiviral enzyme. It is better understood as a regulatory factor in the interferon response and may participate in modulating RLR-related signaling, inflammatory output, or ISG expression intensity. When studying IFI35, attention should be paid to its effects on IFNB1, ISG15, MX1, OAS1, IFIT1, CXCL10, and other markers.

(3) Cell-context dependence

The role of IFI35 may be affected by cell type, virus type, stimulation intensity, and time window. In some models, IFI35 may function as a negative feedback regulator that limits excessive interferon responses. In other inflammatory or infectious contexts, increased IFI35 expression may accompany stronger immune activation. Therefore, IFI35 upregulation alone should not be used to determine whether it promotes or inhibits antiviral immunity.

 

3.2 Relationship between IFI35 and RIG-I/MDA5 signaling

(1) Located downstream of recognition signaling

IFI35 is usually not a direct viral RNA recognition receptor. Instead, it is positioned at the level of interferon-induced responses and feedback regulation. After RIG-I or MDA5 activation, IFNB1 and the ISG program are initiated, and IFI35 can enter the regulatory network as one of the induced genes.

(2) Influence on response amplitude

If IFI35 knockdown increases IFNB1, ISG15, IFIT1, MX1, or CXCL10 expression, this suggests that IFI35 may limit the interferon response. If these genes decrease after knockdown, IFI35 may support maintenance of antiviral signaling. Any conclusion must be combined with viral replication readouts and upstream phosphorylation signals.

(3) Association with viral replication outcomes

Whether altered IFI35 expression has antiviral significance should be assessed through viral RNA copy number, viral protein, proportion of infected cells, or viral titer. If IFI35 knockdown changes ISG expression but does not significantly affect viral replication, IFI35 may mainly regulate signaling phenotype rather than act as a decisive antiviral effector.

 

3.3 IFI35 experimental design

(1) Expression induction experiments

Cells can be stimulated with IFN-β, IFN-α, viral infection, 5′ppp RNA, or Poly(I:C) to assess time-dependent IFI35 expression. Time points such as 2 h, 6 h, 12 h, 24 h, and 48 h are recommended to distinguish early signaling genes, classical ISGs, and late feedback factors.

(2) Knockdown or overexpression experiments

IFI35 functional validation can use siRNA, shRNA, CRISPR, or overexpression systems. Knockdown efficiency should be confirmed at both mRNA and protein levels. Overexpression experiments should avoid expression levels far above physiological induction levels, otherwise nonphysiological protein interactions or stress responses may be introduced.

(3) Pathway-layered detection

When evaluating the effect of IFI35 on antiviral signaling, p-TBK1, p-IRF3, IFNB1, IFNL1, STAT1/STAT2 phosphorylation, ISG expression, and viral replication should be detected in layers. Detecting only a single ISG is insufficient to determine whether IFI35 acts at the RLR recognition layer, interferon production layer, or JAK-STAT response layer.

 

Table 3 Detection Framework for IFI35 Functional Studies

 

Research Question

Recommended Indicators

Methods

Interpretation Focus

Is IFI35 induced by interferon?

IFI35 mRNA, IFI35 protein

qPCR, Western blot, IF

Define induction time window and cell-type differences

Does IFI35 affect RLR signaling?

p-TBK1, p-IRF3, IFNB1, CXCL10

Western blot, qPCR, ELISA

Determine whether it acts at the interferon production layer

Does IFI35 affect JAK-STAT?

p-STAT1, p-STAT2, IRF9, ISG15, MX1

Western blot, qPCR

Determine whether it acts at the interferon response layer

Does IFI35 affect viral replication?

Viral RNA, viral protein, infection rate, viral titer

RT-qPCR, IF, plaque assay

Link signaling changes with antiviral effects

Does IFI35 participate in feedback regulation?

ISG changes after IFI35 knockdown/overexpression

siRNA, overexpression, RNA-seq

Determine positive regulation or negative feedback properties

Is IFI35 cell-type specific?

Different cell lines or primary cells

qPCR, Western blot, infection assays

Avoid extrapolation from a single cell model

 

4 ISG Expression Regulation and Antiviral Effects

4.1 Initiation of ISG expression

(1) Type I interferon pathway

After IFN-β and IFN-α bind to IFNAR1/IFNAR2, JAK1 and TYK2 are activated, subsequently promoting phosphorylation of STAT1 and STAT2. STAT1, STAT2, and IRF9 form the ISGF3 complex and bind ISRE elements, inducing expression of multiple ISGs.

(2) Type III interferon pathway

IFN-λ activates similar JAK-STAT signaling through the IFNLR1 and IL10RB receptor complex and mainly exerts antiviral effects in epithelial barrier tissues. In respiratory, intestinal, and hepatic epithelial models, the relationship between IFN-λ and ISG expression deserves separate analysis.

(3) Direct ISG induction

Some ISGs can be directly induced after RLR activation without complete dependence on secreted interferons, especially early IRF3- or NF-κB-related genes. If direct induction and interferon autocrine amplification need to be distinguished, JAK inhibitors, IFNAR-blocking antibodies, or conditioned-medium transfer experiments can be used.

 

4.2 Functional grouping of typical ISGs

(1) Viral RNA degradation and replication inhibition

The OAS1, OAS2, OAS3, and RNase L axis promotes viral RNA degradation. PKR/EIF2AK2 inhibits protein translation through eIF2α phosphorylation. The IFIT family can recognize abnormal cap structures or specific viral RNA features and restrict viral replication.

(2) Restriction of viral entry and release

IFITM1, IFITM2, and IFITM3 can affect viral membrane fusion and entry. BST2/Tetherin can restrict the release of some enveloped viral particles. The functions of these ISGs are closely related to viral life-cycle stages, so stage-specific assays for viral entry, replication, and release should be used.

(3) Ubiquitin-like modification and immune regulation

ISG15 can affect host and viral protein functions through ISGylation and is also a common marker of interferon response intensity. MX1/MX2, RSAD2/Viperin, GBP family proteins, and others interfere with viral replication, assembly, or intracellular localization through different mechanisms.

 

4.3 Interpretation of ISG expression

(1) A single gene is insufficient to represent antiviral status

Upregulation of a single ISG only indicates activation of one pathway node and does not represent the full antiviral state. It is recommended to detect multiple markers such as ISG15, MX1, OAS1, IFIT1, RSAD2, and CXCL10, together with viral replication readouts.

(2) mRNA and protein are not always synchronized

ISG mRNA usually increases earlier, while protein expression is affected by translation, stability, and viral immune evasion. If mRNA is markedly increased but protein remains unchanged, time point, antibody sensitivity, viral inhibition of protein translation, and sample processing should be checked.

(3) Excessive ISG responses may accompany cell injury

High-intensity interferon or dsRNA stimulation can induce cell-cycle arrest, apoptosis, pyroptosis, or metabolic stress. In antiviral experiments, cell viability, death rate, and inflammatory cytokines should be measured in parallel to avoid misinterpreting virus reduction caused by cytotoxicity as a specific antiviral effect.

 

Table 4 Common ISGs and Antiviral Effect Directions

 

ISG/Pathway

Main Functional Direction

Recommended Methods

Interpretation Focus

ISG15

ISGylation, interferon-response marker, immune regulation

qPCR, Western blot, ELISA

Can indicate ISG response intensity, but must be combined with functional readouts

MX1/MX2

Interference with viral replication or nucleocapsid transport

qPCR, Western blot

Strongly virus-type dependent

OAS1/OAS2/OAS3

Activation of RNase L and promotion of RNA degradation

qPCR, Western blot, RNase L-related assays

Suitable for RNA virus replication-inhibition studies

IFIT1/IFIT2/IFIT3

Recognition of abnormal RNA structures and inhibition of translation or replication

qPCR, Western blot

Sensitive to viral RNA cap structure and replication mode

IFITM1/2/3

Restriction of viral entry and membrane fusion

qPCR, Western blot, infection-rate assay

Should be combined with viral entry experiments

RSAD2/Viperin

Interference with viral replication, lipid metabolism, and particle formation

qPCR, Western blot

Commonly used as a broad-spectrum antiviral ISG marker

PKR/EIF2AK2

Inhibition of protein translation and induction of antiviral stress

Western blot, p-eIF2α

Antiviral effects must be distinguished from cytotoxicity

BST2/Tetherin

Restriction of enveloped virus release

qPCR, Western blot, viral release assay

Suitable for studies of enveloped virus release stages

CXCL10

Interferon-induced chemokine

qPCR, ELISA

Reflects inflammatory and immune cell recruitment signals

 

5 Experimental Models and Method Selection

5.1 Viral infection models

(1) Authentic viral infection

Authentic viral infection can simultaneously present viral entry, replication, immune evasion, and ISG feedback regulation, making it suitable for evaluating the functional significance of the RIG-I/MDA5-IFN-ISG axis. Experiments should be designed according to viral biosafety level, MOI, infection time, and cell type, while measuring both viral replication and host signaling.

(2) Pseudovirus or replicon systems

Pseudovirus and replicon systems are suitable for studying viral entry, replication elements, or reporter signals at lower biosafety risk. These models facilitate high-throughput screening but cannot fully reproduce immune evasion proteins and the complete replication cycle of authentic viruses.

(3) Viral mimic stimulation

5′ppp RNA, Poly(I:C), extracted viral RNA, or synthetic dsRNA can be used to dissect RIG-I/MDA5 signaling. Mimic experiments are more suitable for mechanistic localization, but delivery method, dose, and cytotoxicity must be considered. They cannot fully replace viral infection results.

 

5.2 Signal detection methods

(1) qPCR

qPCR is suitable for detecting transcriptional changes in DDX58, IFIH1, IFI35, IFNB1, IFNL1, ISG15, MX1, OAS1, IFIT1, RSAD2, CXCL10, and related genes. Time point design should cover early recognition, interferon production, and ISG amplification stages.

(2) Western blot

Western blot can detect protein changes in RIG-I, MDA5, IFI35, p-TBK1, p-IRF3, p-STAT1, ISG15, MX1, and OAS1. For pathway activation studies, phosphorylated proteins and total proteins should be detected together to avoid confusing expression changes with activation changes.

(3) Immunofluorescence and flow cytometry

Immunofluorescence can observe nuclear translocation of IRF3, p65, or STAT1, as well as localization of viral proteins and ISGs. Flow cytometry is suitable for analyzing the proportion of infected cells, ISG-positive cell populations, and cell death. In heterogeneous infection models, single-cell-level detection provides more information than whole-lysate analysis.

 

5.3 Functional validation methods

(1) Knockdown and knockout

Knockdown or knockout of DDX58, IFIH1, MAVS, IFI35, STAT1, or key ISGs can be used to determine functional positioning. Knockdown experiments should include nontargeting controls, multiple siRNA sequences, and rescue experiments to avoid conclusions affected by off-target effects.

(2) Interferon rescue experiments

If RIG-I or MDA5 deficiency leads to reduced ISG expression, exogenous IFN-β or IFN-λ can be added to determine whether downstream JAK-STAT signaling remains responsive. If exogenous interferon restores ISG expression, the defect is mainly located at the interferon production layer. If it does not, receptor or STAT pathway abnormalities should be considered.

(3) Viral replication readouts

Antiviral function must be validated through viral readouts. Common indicators include viral RNA copy number, viral protein expression, infected-cell proportion, viral titer, plaque formation, and cytopathic effects. ISG upregulation alone cannot prove enhanced antiviral effects.

 

Table 5 Method Combinations for RIG-I/MDA5-IFI35-ISG Studies

 

Experimental Purpose

Recommended Treatment

Core Readouts

Key Controls

Distinguish RIG-I and MDA5 contributions

5′ppp RNA, Poly(I:C), viral infection

DDX58, IFIH1, IFNB1, ISG15

DDX58/IFIH1 knockdown or knockout

Determine whether IFI35 is induced

IFN-β, viral infection, dsRNA stimulation

IFI35 mRNA and protein

Unstimulated control, time gradient

Analyze IFI35 regulatory function

IFI35 siRNA or overexpression

IFNB1, ISG15, MX1, viral RNA

Nontargeting siRNA, rescue experiment

Distinguish interferon production and response

JAK inhibitor or exogenous IFN after viral infection

p-IRF3, p-STAT1, ISGs

IFNAR/JAK-STAT controls

Evaluate ISG antiviral function

Viral infection after key ISG knockdown

Viral titer, viral protein, infection rate

Cell viability and knockdown efficiency

Evaluate inflammatory output

Infection or dsRNA stimulation

CXCL10, IL6, TNF, CCL5

Cell death and stimulation dose controls

 

6 Reagent and Material Selection for Interferon and ISG Research

 

Table 6 Detection and Intervention Products for RIG-I, MDA5, IFI35, TBK1, and IRF3 Signaling Nodes

 

Application Module

Cat. No.

Product Name

Grade/Specification

System Positioning

RIG-I detection

Ab125359

Recombinant RIG-I/DDX58 Antibody

ExactAb™, Validated, Recombinant, 3.0 mg/mL

Used to detect RIG-I/DDX58 protein expression; suitable for viral infection, Poly(I:C), or IFN induction experiments

RIG-I detection

Ab325619

Recombinant RNA Sensor RIG-I Antibody

KD Validation

Used for RIG-I expression validation and protein detection in DDX58 knockdown experiments

MDA5 protein/control

M572896

MDA5

≥80%(SDS-PAGE)

Can serve as a protein control or methodological material in MDA5-related experiments

MDA5 detection

Ab114669

Recombinant MDA5 Antibody

Recombinant, ExactAb™, Validated, KD Validation, See COA

Used to detect MDA5/IFIH1 protein expression; suitable for dsRNA stimulation and viral infection models

MDA5 detection

EJ1515165

Human Melanoma Differentiation-associated Protein 5 (MDA5) ELISA Kit

BioReagent

Used to detect MDA5 levels in human samples

MDA5 intervention

I1487871

IFIH1 Human Pre-designed siRNA Set A

 

Used to knock down MDA5/IFIH1 and validate the contribution of MDA5 to IFNB1 and ISG expression

MDA5 detection

Ab327522

IFIH1 Mouse mAb

KD Validation

Used for IFIH1/MDA5 protein detection and knockdown validation

MDA5 detection

Ab327382

Recombinant IFIH1 Antibody

KD Validation

Used for IFIH1 protein detection; suitable for MDA5 pathway studies

IFI35 detection

Ab109390

IFI35 Antibody

Carrier Free, ExactAb™, Azide Free, Validated, High Performance, See COA

Used for IFI35 protein induction detection; suitable for IFN, viral infection, or Poly(I:C) stimulation experiments

IFI35 intervention

I1464042

IFI35 Human Pre-designed siRNA Set A

 

Used to knock down IFI35 and analyze its regulatory effects on IFNB1, ISG15, MX1, CXCL10, and viral replication

IFI35 protein/control

rp329494

Recombinant Human IFI35 Protein

≥97%(SDS-PAGE)

Can be used for IFI35 antibody validation, protein interaction studies, or in vitro functional research

MAVS intervention

M1490873

MAVS Human Pre-designed siRNA Set A

 

Used to knock down MAVS and verify whether RIG-I/MDA5 signaling depends on MAVS transmission

TBK1 protein/control

rp329534

Recombinant Human TBK1 Protein

≥90%(SDS-PAGE)

Used for TBK1 antibody validation, kinase-related experiments, or methodological controls

TBK1 detection

Ab117042

Recombinant NAK/TBK1 Antibody

Recombinant, ExactAb™, Validated, See COA

Used to detect total TBK1 protein levels

p-TBK1 detection

Ab327296

Recombinant Phospho-NAK/TBK1 (S172) Antibody

KD Validation

Used to detect TBK1 S172 phosphorylation and evaluate RLR downstream kinase activation

p-TBK1 detection

Ab117037

Recombinant TBK1 (phospho S172) Antibody

Recombinant, ExactAb™, Validated, See COA

Used to detect p-TBK1 and determine upstream signaling of IRF3 activation

TBK1 intervention

T1487313

TBK1 Human Pre-designed siRNA Set A

 

Used to knock down TBK1 and verify whether IFNB1 and ISG induction depend on TBK1

TBK1 intervention

T1490076

TBK1 siRNA-1

 

Used for TBK1 knockdown and pathway localization

TBK1 intervention

T1490174

TBK1 siRNA-2

 

Used for repeated validation of TBK1 knockdown

TBK1 intervention

T1490153

TBK1 siRNA-3

 

Used for multi-sequence knockdown validation to reduce off-target interpretation risk

TBK1 inhibition

T1497837

TBK1-IN-1

Moligand™, 10 mM in DMSO

Used to inhibit TBK1 and analyze IRF3 phosphorylation and IFNB1 induction

TBK1 inhibition

T659201

TBK1-IN-1

≥98%

Used for validation of TBK1-dependent antiviral signaling

TBK1/IKKε inhibition

T1447808

TBK1/IKKε-IN-1

 

Used to inhibit the TBK1/IKKε pathway and analyze IRF3-related IFN production

TBK1/IKKε inhibition

T422323

TBK1/IKKε-IN-1(compound 1)

10mM in DMSO

Used for TBK1/IKKε-dependent pathway intervention

TBK1/IKKε inhibition

T414271

TBK1/IKKε-IN-1(compound 1)

≥96%

Used for TBK1/IKKε-related antiviral pathway research

TBK1/IKKε inhibition

T412376

TBK1/IKKε-IN-2

≥98%

Used for comparison of TBK1/IKKε pathway inhibitors

TBK1/IKKε inhibition

T421157

TBK1/IKKε-IN-2

10mM in DMSO

Used to block TBK1/IKKε signaling in cell experiments

TBK1/IKKε inhibition

T650039

TBK1/IKKε-IN-4

≥99%

Used for high-purity TBK1/IKKε inhibition experiments

TBK1/IKKε inhibition

T1495632

TBK1/IKKε-IN-4

Moligand™, 10 mM in DMSO

Used for pathway inhibition at the cellular level

TBK1 degradation

T614344

TBK1 PROTAC 3i

Moligand™

Used to establish TBK1 protein degradation models and analyze the effect of TBK1 loss on the IFN-ISG axis

TBK1 degradation

T287400

TBK1 PROTAC®3i

Moligand™, ≥98%(HPLC)

Used for TBK1 protein degradation validation; should be combined with total TBK1 and p-TBK1 detection

TBK1 KO control

P750943

pLenti-TBK1-sgRNA

 

Used for TBK1 antibody specificity validation and KO control

TBK1 KO control

P750944

pLenti-TBK1-sgRNA

 

Used for TBK1 mRNA or transcription-level KO control validation

TBK1 detection

EJ1513649

Human TANK Binding Kinase 1 (TBK1) ELISA Kit

BioReagent

Used to detect TBK1 levels in human samples

p-TBK1 detection

EJ1514438

Human Phosphorylated TANK Binding Kinase 1 (P-TBK1) ELISA Kit

BioReagent

Used to detect p-TBK1 levels in human samples

TBK1 detection

EJ1512557

Mouse TANK Binding Kinase 1 (TBK1) ELISA Kit

BioReagent

Used to detect TBK1 in mouse samples

p-TBK1 detection

EJ1512963

Mouse Phosphorylation TANK Binding Kinase 1 (p-TBK1) ELISA Kit

BioReagent

Used to detect p-TBK1 in mouse samples

IRF3 intervention

I1487942

IRF3 Human Pre-designed siRNA Set A

 

Used to knock down IRF3 and verify the dependence of IFNB1 and ISG induction on IRF3

IRF3 detection

Ab111215

Recombinant IRF3 Antibody

ExactAb™, Validated, Recombinant, 0.3 mg/mL

Used to detect total IRF3 protein expression

IRF3 detection

Ab111210

Recombinant IRF3 Antibody

Recombinant, Validated, ExactAb™, See COA

Used for IRF3 protein detection and pathway analysis

IRF3 detection

EJ1514089

Human Interferon Regulatory Factor 3 (IRF3) ELISA Kit

BioReagent

Used to detect IRF3 levels in human samples

IRF3 detection

EJ1512780

Mouse Interferon Regulatory Factor 3 (IRF3) ELISA Kit

BioReagent

Used to detect IRF3 levels in mouse samples

 

Table 7 Products Related to JAK-STAT and ISG Expression Detection and Functional Validation

 

Application Module

Cat. No.

Product Name

Grade/Specification

System Positioning

STAT1 protein/control

rp230930

Recombinant Human STAT1 Protein

Carrier Free,His Tag,≥95%(SDS-PAGE),See COA

Used for STAT1 antibody validation, standards, or pathway research controls

STAT1 protein/control

rp214403

Recombinant Human STAT1 Protein

Carrier Free, Bioactive, ActiBioPure™, ≥90%(SDS-PAGE), See COA

Can be used for STAT1-related functional and methodological validation

STAT1 protein/control

rp329828

Recombinant Mouse STAT1 Protein

≥90%(SDS-PAGE)

Used for mouse STAT1 detection or antibody validation

p-STAT1 detection

Ab326907

Recombinant Phospho-STAT1 (S727) Antibody

KD Validation

Used to detect STAT1 S727 phosphorylation and evaluate IFN-JAK-STAT activation

STAT1 detection

Ab326909

Recombinant STAT1 Antibody

KD Validation

Used to detect total STAT1 protein

STAT1 detection

Ab129384

Recombinant STAT1 Antibody

Recombinant, ExactAb™, KD Validation, Validated, See COA

Used for STAT1 protein expression detection and interferon-response analysis

STAT1 detection

Ab326906

Recombinant STAT1 Antibody

KD Validation

Used for STAT1 detection and knockdown validation

STAT1 intervention

S1475931

STAT1 Human Pre-designed siRNA Set A

 

Used to knock down STAT1 and verify whether ISG expression depends on the JAK-STAT pathway

STAT1 detection

Ab327500

STAT1 Mouse mAb

KD Validation

Used for STAT1 protein detection

STAT1 inhibition

S1432448

STAT1/3-IN-1

 

Used to interfere with STAT1/3-related signaling; should be validated with p-STAT1 detection

STAT1 KO control

P750773

pLenti-STAT1-sgRNA

 

Used for STAT1 antibody specificity validation and KO control

STAT1 KO control

P750774

pLenti-STAT1-sgRNA

 

Used for STAT1 transcription-level KO control

STAT1 detection

EJ1513809

Human Signal Transducer And Activator Of Transcription 1 (STAT1) ELISA Kit

BioReagent

Used to detect STAT1 levels in human samples

p-STAT1 detection

EJ1514444

Human Solubility Signal Transducer and Activator Of Transcription 1 (p-STAT1) ELISA Kit

BioReagent

Used to detect p-STAT1 in human samples

STAT1 detection

EJ1515475

Mouse Signal Transducer And Activator Of Transcription 1 (STAT1) ELISA Kit

BioReagent

Used to detect STAT1 levels in mouse samples

STAT1 in vivo intervention

I1459890

In vivo Stat1 Mouse Pre-designed siRNA-1

 

Used for in vivo STAT1 knockdown experiments in mice

STAT1 in vivo intervention

I1459889

In vivo Stat1 Mouse Pre-designed siRNA-2

 

Used for repeated validation of in vivo STAT1 knockdown

STAT1 in vivo intervention

I1459945

In vivo Stat1 Mouse Pre-designed siRNA-3

 

Used for multi-sequence in vivo STAT1 intervention design

STAT2 detection

Ab327519

Recombinant STAT2 Antibody

KO Validation

Used for STAT2 protein detection and KO validation

STAT2 intervention

S1485883

STAT2 Human Pre-designed siRNA Set A

 

Used to knock down STAT2 and verify dependence of ISGF3 and ISG induction

STAT2 KO control

P750775

pLenti-STAT2-sgRNA

 

Used for STAT2 antibody validation and KO control

STAT2 KO control

P750776

pLenti-STAT2-sgRNA

 

Used for STAT2 transcription-level KO control

STAT2 detection

EJ1513812

Human Signal Transducer And Activator Of Transcription 2 (STAT2) ELISA Kit

BioReagent

Used to detect STAT2 levels in human samples

ISG15 intervention

I1472959

ISG15 Human Pre-designed siRNA Set A

 

Used to knock down ISG15 and validate its role in antiviral effects or ISGylation

ISG15 detection

Ab111307

Recombinant ISG15 Antibody

Recombinant, ExactAb™, Validated, High Performance, See COA

Used for ISG15 protein detection and ISG response evaluation

ISG15 detection

Ab326649

Recombinant ISG15 Antibody

KD Validation

Used for protein validation in ISG15 knockdown experiments

ISG15 detection

EJ1514492

Human Ubiquitin-like Modifier (ISG15) ELISA Kit

BioReagent

Used to detect ISG15 levels in human samples

ISG15 detection

EJ1512845

Mouse Ubiquitin-like Protein ISG15 (ISG15) ELISA Kit

BioReagent

Used to detect ISG15 in mouse samples

MX1 detection

Ab116582

MX1 Antibody

Carrier Free, ExactAb™, Azide Free, Validated, See COA

Used to detect MX1 protein and evaluate classical antiviral ISG induction

MX1 intervention

M1488866

MX1 Human Pre-designed siRNA Set A

 

Used to knock down MX1 and analyze its role in restricting replication of specific viruses

OAS1 intervention

O1487294

OAS1 Human Pre-designed siRNA Set A

 

Used to knock down OAS1 and study the OAS-RNase L axis in restricting RNA virus replication

IFIT1 intervention

I1482059

IFIT1 Human Pre-designed siRNA Set A

 

Used to knock down IFIT1 and validate functions related to abnormal viral RNA recognition and translation inhibition

IFIT1B intervention

I1470945

IFIT1B Human Pre-designed siRNA Set A

 

Used for IFIT1B-related ISG functional studies

RSAD2 intervention

R1461714

RSAD2 Human Pre-designed siRNA Set A

 

Used to knock down RSAD2/Viperin and validate its antiviral effects related to viral replication and cellular metabolism

 

7 Common Questions

7.1 Both RIG-I and MDA5 can induce ISGs. How can their roles be distinguished experimentally?

Their roles should be distinguished by combining stimulants, viral models, and genetic intervention. 5′ppp RNA is more biased toward RIG-I, whereas long dsRNA or high-molecular-weight Poly(I:C) is more commonly used in MDA5-related studies. Final contribution still needs to be validated through DDX58 or IFIH1 knockdown/knockout.

 

7.2 Is IFI35 an antiviral effector gene or a regulatory factor?

IFI35 is better regarded as an interferon-induced regulatory factor rather than a typical direct antiviral enzyme. Its functional direction should be determined based on IFNB1, ISG expression, and viral replication outcomes after knockdown or overexpression. It should not be defined as antiviral enhancement solely based on expression upregulation.

 

7.3 Can ISG15, MX1, OAS1, or IFIT1 be selected individually as an ISG marker?

Using only one is not recommended. Different ISGs have different induction kinetics and antiviral mechanisms, so a single marker can easily lead to misinterpretation. At least 3–5 ISGs should be selected, and viral replication and cell viability should be measured simultaneously.

 

7.4 Does Poly(I:C) stimulation always represent MDA5 activation?

No. The molecular weight, delivery method, and cell type determine the main recognition route of Poly(I:C). Cytosolic delivery of high-molecular-weight Poly(I:C) is more suitable for studying MDA5. When directly added to the culture medium, TLR3 signaling may be the main contributor.

 

7.5 Does increased RIG-I or MDA5 expression mean that cells are recognizing viruses?

Not necessarily. RIG-I and MDA5 themselves can be induced by interferons, and increased expression may only indicate that cells are in an antiviral alert state. p-TBK1, p-IRF3, IFNB1, MAVS dependence, and viral replication changes should be combined to determine whether true recognition activation exists.

 

RIG-I and MDA5 are key receptors at the viral RNA recognition layer. IFI35 is located within the interferon-induced and feedback-regulatory network, while ISGs constitute the execution layer of antiviral effects. When studying this pathway, validation should proceed layer by layer from viral recognition, interferon production, JAK-STAT response, and ISG expression to viral replication outcomes, avoiding the direct equation of single-gene expression changes with altered antiviral function.

 

For more related articles, please see below:

[1] Human α2a, α2b Interferon Assay

[2] Detection of α-, β- and γ-interferon-induced antiviral activity

[3] Type Stratification, Signal Transduction, and Effector Networks of the Interferon (IFN) Pathway

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引用本文

阿拉丁科学.《Roles of Interferon-Stimulated Genes in Antiviral Immunity: RIG-I, MDA5, IFI35, and ISG Expression Regulation》. 阿拉丁知识库,更新于 2026年7月23日。 https://www.aladdin-e.com/zh_cn/faqs/roles-of-interferon-stimulated-genes-in-antiviral-immunity-en.html
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