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Record W1935965867 · doi:10.4049/jimmunol.174.9.5351

Accessory Protein-Like Is Essential for IL-18-Mediated Signaling

2005· article· en· W1935965867 on OpenAlexaff
Heidi Cheung, Nien‐Jung Chen, Zhaodan Cao, Nobuyuki Ono, Pamela S. Ohashi, Wen‐Chen Yeh

Bibliographic record

VenueThe Journal of Immunology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsUniversity Health NetworkUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsCell biologyBiologySignal transductionCytokineReceptorInnate immune systemT cellAcquired immune systemImmune systemImmunologyBiochemistry

Abstract

fetched live from OpenAlex

IL-18 is an essential cytokine for both innate and adaptive immunity. Signaling by IL-18 requires IL-18Ralpha, which binds specifically to the ligand and contains sequence homology to IL-1R and TLRs. It is well established that IL-1R signaling requires an accessory cell surface protein, AcP. Other accessory proteins also exist with roles in regulating TLR signaling, but some have inhibitory functions. An AcP-like molecule (AcPL) has been identified with the ability to cooperate with IL-18Ralpha in vitro; however, the physiological function of AcPL remains unknown. In this study, we demonstrate that IL-18 signals are abolished in AcPL-deficient mice and cells. Splenocytes from mutant mice fail to respond to IL-18-induced proliferation and IFN-gamma production. In particular, Th1 cells lacking AcPL fail to produce IFN-gamma in response to IL-18. AcPL-deficient neutrophils also fail to respond to IL-18-induced activation and cytokine production. Furthermore, AcPL is required for NK-mediated cytotoxicity induced by in vivo IL-18 stimulation. However, AcPL is dispensable for the activation or inhibition of IL-1R and the various TLR signals that we have examined. These results suggest that AcPL is a critical and specific cell surface receptor that is required for IL-18 signaling.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.160
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.251
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 teacher head, 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

Citations72
Published2005
Admission routes1
Has abstractyes

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