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Record W2167113550 · doi:10.1177/1753425912467383

NLRX1 does not inhibit MAVS-dependent antiviral signalling

2012· article· en· W2167113550 on OpenAlexafffund
Fraser Soares, Ivan Tattoli, Michael E. Wortzman, Damien Arnoult, Dana J. Philpott, Stephen E. Girardin

Bibliographic record

VenueInnate Immunity · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsBiologySendai virusCell biologyMitochondrionIntracellularKnockout mouseHEK 293 cellsVirusVirologyCell cultureReceptorGenetics

Abstract

fetched live from OpenAlex

NLRX1 is a member of the Nod-like receptor family of intracellular sensors of microbial- and danger-associated molecular patterns. NLRX1 has a N-terminal mitochondrial addressing sequence that localizes the protein to the mitochondrial matrix. Recently, conflicting reports have been presented with regard to the putative implication of NLRX1 as a negative regulator of MAVS-dependent cytosolic antiviral responses. Here, we generated a new NLRX1 knockout mouse strain and observed that bone marrow-derived macrophages and murine embryonic fibroblasts from NLRX1-deficient mice displayed normal antiviral and inflammatory responses following Sendai virus infection. Importantly, wild type and NLRX1-deficient mice exhibited unaltered antiviral and inflammatory gene expression following intranasal challenge with influenza A virus or i.p. injection of Poly (I:C). Together, our results demonstrate that NLRX1 does not participate in the negative regulation of MAVS-dependent antiviral responses.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.261
Teacher spread0.241 · 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

Citations90
Published2012
Admission routes2
Has abstractyes

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