Characterization of a CD40-Dominant Inhibitory Receptor Mutant
Bibliographic record
Abstract
CD40 is an important mediator of immune and inflammatory responses. It is a costimulatory molecule for B cell proliferation and survival. Blockade of CD40 has been shown to induce tolerance and its role in other pathogenic conditions has led to the proposal that CD40 inhibition could be valuable therapeutically. As a first step to this end, we have characterized a CD40-dominant negative receptor. This inhibitory mutant lacks the identified CD40 signaling domains. It inhibits both cotransfected and endogenous CD40 activation of NF-kappaB. This mutant is specific, as it does not affect TNF or latent membrane protein 1 signaling. Its potential usefulness is illustrated by its ability to inhibit the CD40 ligand-stimulated increases of HLA and CD54 expression, molecules involved in Ag recognition and lymphocyte recruitment leading to organ rejection. The inhibitory mutant has no TNFR-associated factor 2-binding capabilities and inhibits the recruitment of TNFR-associated factor 2 to the CD40 signaling complex after stimulation. These studies show that the CD40 inhibitory receptor molecule is effective, specific, and useful both for research and potentially as a clinical tool. And furthermore, it is likely that similar dominant inhibitory receptors can be generated for all of the members of the TNFR superfamily.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".