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The co-expression of TLR4 and CD40 homodimer enhance B cell activation (P4447)

2013· article· en· W70293202 on OpenAlexaff
Amal Nadiri, Malek Jundi, Daniel Yacoub, Walid Mourad

Bibliographic record

VenueThe Journal of Immunology · 2013
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsCD40CD80Cell biologyTLR4Innate immune systemAcquired immune systemCD23Immune systemBiologyFunction (biology)ChemistrySignal transductionImmunologyBiochemistryAntibodyCytotoxic T cellIn vitro

Abstract

fetched live from OpenAlex

Abstract CD40 is a critical regulator of the immune response and a key player in several autoimmune diseases. Accumulating evidence indicates that CD40 is essential for both innate and adaptive immunity. Moreover, it has been reported that CD40 engagement induces the formation of disulfide-linked (dl) CD40 homodimers, albeit the role of this response in B-cell function remains elusive. Here, we report that oxidative stress induces CD40 self-association through cysteine-238 residues independently of ligand binding. However, our results show that the production of ROS downstream of CD40 is independent of its dimerization. Notably, CD40 homodimers are required for full B-cell activation and TLR4-induced CD23 and CD80 expression. In addition, these responses were dependent upon Jak3 association to CD40 and PI-3 kinase activation. Our results highlight the role of CD40 homodimers in innate and adaptive immunity and may lead to the generation of novel biological targets for the treatment of CD40-assciated inflammatory disorders.

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 score0.004
Threshold uncertainty score0.014

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.007
GPT teacher head0.259
Teacher spread0.251 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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