Subtopic Deep Dive

RIG-I-like Receptors in Antiviral Immunity
Research Guide

What is RIG-I-like Receptors in Antiviral Immunity?

RIG-I-like receptors (RLRs) are cytoplasmic RNA helicases that detect viral double-stranded RNA to initiate type I interferon production in antiviral innate immunity.

RLRs include RIG-I (DDX58) and MDA-5 (IFIH1), which recognize distinct viral RNA structures and signal through adaptor proteins like MAVS (Seth et al., 2005; 3239 citations) and Cardif (Meylan et al., 2005; 2351 citations). Activation leads to NF-κB and IRF3 pathways for interferon responses (Hornung et al., 2009). Over 20 key papers document RLR signaling since 2005.

15
Curated Papers
3
Key Challenges

Why It Matters

RLRs drive interferon responses against RNA viruses like hepatitis C, informing vaccine adjuvants and antiviral drugs. Seth et al. (2005) identified MAVS as the central adaptor, enabling targeted therapies disrupting viral evasion. Meylan et al. (2005) showed hepatitis C targets Cardif, guiding HCV treatment strategies. Hornung et al. (2009) linked RLRs to RNA sensing, advancing broad-spectrum antivirals.

Key Research Challenges

Viral Evasion Mechanisms

Viruses like hepatitis C target RLR adaptors such as Cardif to suppress signaling (Meylan et al., 2005). This disrupts interferon production, complicating therapies. Developing evasion-resistant RLR agonists remains difficult.

RLR Ligand Specificity

RIG-I and MDA-5 distinguish 5'-triphosphate ssRNA versus long dsRNA, but precise ligand structures vary by virus (Hornung et al., 2009). Overactivation risks autoimmunity. Fine-tuning specificity challenges drug design.

Downstream Signaling Regulation

MAVS activates NF-κB and IRF3, but negative regulators limit responses (Seth et al., 2005). Balancing activation and feedback controls interferon storms. Pathway crosstalk with TLRs adds complexity (Kawai and Akira, 2010).

Essential Papers

1.

The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors

Taro Kawai, Shizuo Akira · 2010 · Nature Immunology · 8.8K citations

2.

Identification and Characterization of MAVS, a Mitochondrial Antiviral Signaling Protein that Activates NF-κB and IRF3

Rashu B. Seth, Lijun Sun, Chee-Kwee Ea et al. · 2005 · Cell · 3.2K citations

3.

Recognition of microorganisms and activation of the immune response

Ruslan Medzhitov · 2007 · Nature · 2.8K citations

4.

Type I interferons in infectious disease

Finlay W. McNab, Katrin D. Mayer-Barber, Alan Sher et al. · 2015 · Nature reviews. Immunology · 2.6K citations

5.

AIM2 recognizes cytosolic dsDNA and forms a caspase-1-activating inflammasome with ASC

Veit Hornung, Andrea Ablasser, Marie Charrel-Dennis et al. · 2009 · Nature · 2.5K citations

The innate immune system senses nucleic acids by germline-encoded pattern recognition receptors. RNA is sensed by Toll-like receptor members TLR3, TLR7 and TLR8, or by the RNA helicases RIG-I (also...

6.

Cardif is an adaptor protein in the RIG-I antiviral pathway and is targeted by hepatitis C virus

Etienne Meylan, Joseph Curran, Kay Hofmann et al. · 2005 · Nature · 2.4K citations

7.

Interferon-inducible antiviral effectors

Anthony J. Sadler, Bryan R.G. Williams · 2008 · Nature reviews. Immunology · 2.1K citations

Reading Guide

Foundational Papers

Start with Seth et al. (2005) for MAVS discovery and Meylan et al. (2005) for Cardif in RIG-I pathway, as they establish core signaling. Kawai and Akira (2010) contextualizes RLRs among PRRs.

Recent Advances

McNab et al. (2015) reviews type I IFN roles; Decout et al. (2021) links to cGAS-STING for nucleic acid sensing parallels.

Core Methods

Core techniques: viral RNA transfections in HEK293 cells, qPCR for IFNβ, NF-κB luciferase assays, and siRNA knockdowns of RIG-I/MDA-5 (Seth et al., 2005; Hornung et al., 2009).

How PapersFlow Helps You Research RIG-I-like Receptors in Antiviral Immunity

Discover & Search

PapersFlow's Research Agent uses searchPapers and exaSearch to find RLR papers like 'Cardif is an adaptor protein in the RIG-I antiviral pathway' (Meylan et al., 2005), then citationGraph reveals 2351 citing works on viral evasion, and findSimilarPapers uncovers related MAVS studies (Seth et al., 2005).

Analyze & Verify

Analysis Agent applies readPaperContent to extract MAVS-IRF3 activation details from Seth et al. (2005), verifies claims with CoVe against 10+ citing papers, and uses runPythonAnalysis for statistical comparison of RLR expression data across viruses with GRADE scoring for evidence strength.

Synthesize & Write

Synthesis Agent detects gaps in RLR negative regulation via contradiction flagging across Kawai & Akira (2010) and Medzhitov (2007), while Writing Agent employs latexEditText, latexSyncCitations for MAVS pathway reviews, latexCompile for polished drafts, and exportMermaid diagrams RIG-I to NF-κB cascades.

Use Cases

"Extract signaling pathway from Seth et al. MAVS paper and plot activation kinetics."

Research Agent → searchPapers('MAVS Seth Chen') → Analysis Agent → readPaperContent → runPythonAnalysis (pandas/matplotlib for IRF3 kinetics plot) → researcher gets publication-ready figure with GRADE-verified data.

"Write LaTeX review on RIG-I Cardif pathway with citations."

Research Agent → citationGraph('Meylan Cardif 2005') → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → researcher gets compiled PDF with diagram via exportMermaid.

"Find GitHub code for RLR ligand binding simulations."

Research Agent → searchPapers('RIG-I ligand simulation') → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → researcher gets runnable Python models linked to Hornung et al. (2009).

Automated Workflows

Deep Research workflow scans 50+ RLR papers via searchPapers on MAVS/Cardif, structures interferon pathway report with CoVe checkpoints. DeepScan applies 7-step analysis to Meylan et al. (2005), verifying HCV evasion with runPythonAnalysis. Theorizer generates hypotheses on RLR-TLR crosstalk from Kawai & Akira (2010) and Medzhitov (2007).

Frequently Asked Questions

What defines RIG-I-like receptors?

RLRs are RNA helicases RIG-I (DDX58) and MDA-5 (IFIH1) that sense cytosolic viral RNA (Hornung et al., 2009). They signal via MAVS/Cardif to induce type I interferons.

What are key methods for studying RLRs?

Methods include RNA ligand pulldowns, MAVS knockout cells, and IRF3 luciferase reporters (Seth et al., 2005; Meylan et al., 2005). Co-immunoprecipitation maps adaptors.

What are seminal RLR papers?

Seth et al. (2005, Cell, 3239 citations) identified MAVS; Meylan et al. (2005, Nature, 2351 citations) discovered Cardif; Hornung et al. (2009, Nature, 2519 citations) detailed RNA sensing.

What open problems exist in RLR research?

Challenges include virus-specific evasion countermeasures and preventing autoimmunity from overactivation. Pathway integration with inflammasomes needs clarification.

Research interferon and immune responses with AI

PapersFlow provides specialized AI tools for Immunology and Microbiology researchers. Here are the most relevant for this topic:

See how researchers in Life Sciences use PapersFlow

Field-specific workflows, example queries, and use cases.

Life Sciences Guide

Start Researching RIG-I-like Receptors in Antiviral Immunity with AI

Search 474M+ papers, run AI-powered literature reviews, and write with integrated citations — all in one workspace.

See how PapersFlow works for Immunology and Microbiology researchers