Evidence map›Paper›PMID 25997992›Full record

ReviewVirologica Sinica2015

Emerging complexity and new roles for the RIG-I-like receptors in innate antiviral immunity.

John S Errett, Michael Gale

Open access · bronzeAbstract readReview
In one paragraph

Review in Virologica Sinica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

John S ErrettCenter for Innate Immunity and Immune Disease, Department of Immunology, School of Medicine, University of Washington, Seattle, 98109, USA.
Michael Gale
University of Washington · US

Funding

West Nile Virus and host control of innate defensesU19AI083019 · NIAID · UNIVERSITY OF WASHINGTON · PI GALE, MICHAEL · 2009 to 2018
$22.5M
Mechanisms Of Pathogen Recognition And Innate Immune Control Of Hepatitis C VirusU19AI088778 · NIAID · UNIVERSITY OF WASHINGTON · PI LAU, DARYL T · 2010 to 2014
$4.2M
Innate Immune Control of West Nile VirusR01AI104002 · NIAID · UNIVERSITY OF WASHINGTON · PI DIAMOND, MICHAEL S, GALE, MICHAEL · 2013 to 2017
$3.7M
NIAID NIH HHS AI083019NIAID NIH HHS AI104002NIAID NIH HHS AI88778NIAID NIH HHS R01 AI104002
6 · The paper itself

Abstract

Innate immunity is critical for the control of virus infection and operates to restrict viral susceptibility and direct antiviral immunity for protection from acute or chronic viral-associated diseases including cancer. RIG-I like receptors (RLRs) are cytosolic RNA helicases that function as pathogen recognition receptors to detect RNA pathogen associated molecular patterns (PAMPs) of virus infection. The RLRs include RIG-I, MDA5, and LGP2. They function to recognize and bind to PAMP motifs within viral RNA in a process that directs the RLR to trigger downstream signaling cascades that induce innate immunity that controls viral replication and spread. Products of RLR signaling also serve to modulate the adaptive immune response to infection. Recent studies have additionally connected RLRs to signaling cascades that impart inflammatory and apoptotic responses to virus infection. Viral evasion of RLR signaling supports viral outgrowth and pathogenesis, including the onset of viral-associated cancer.

Indexed as

Immunity, InnateSignal TransductionAnimalsDEAD-box RNA HelicasesHumansReceptors, Cytoplasmic and NuclearReceptors, ImmunologicRNA, ViralVirusesDEAD-box RNA HelicasesReceptors, Cytoplasmic and NuclearReceptors, ImmunologicRNA, Viral

Identifiers

PMID25997992
PMCPMC7090589
OpenAlexW2399997893

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.