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Record W2124969332 · doi:10.1073/pnas.0703285104

Double-stranded DNA and double-stranded RNA induce a common antiviral signaling pathway in human cells

2007· article· en· W2124969332 on OpenAlexfundno aff
Guofeng Cheng, Jin Zhong, Josan Chung, Francis V. Chisari

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsnot available
FundersNational Cancer InstituteNational Institutes of HealthMcGill University
KeywordsInnate immune systemBiologyRIG-IRNA silencingInterferonDNA virusDNACell biologyRNASignal transductionMDA5Nucleic acidVirologyNS3RNA interferenceVirusGeneImmune systemHepatitis C virusGenomeGenetics

Abstract

fetched live from OpenAlex

Virus infection triggers IFN immune defenses in infected cells in part through viral nucleic acid interactions, but the pathways by which dsDNA and DNA viruses trigger innate defenses are only partially understood. Here we present evidence that both retinoic acid-induced gene I (RIG-I) and mitochondrial antiviral signaling protein (MAVS) are required for dsDNA-induced IFN-beta promoter activation in a human hepatoma cell line (Huh-7), and that activation is efficiently blocked by the hepatitis C virus NS3/4A protease, which is known to block dsRNA signaling by cleaving MAVS. These findings suggest that dsDNA and dsRNA share a common pathway to trigger the innate antiviral defense response in human cells, although dsDNA appears to trigger that pathway upstream of the dsRNA-interacting protein RIG-I.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.047
GPT teacher head0.312
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations157
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicinterferon and immune responsesFrench-language works237,207