Transducing signals from antigen receptors to nuclear factor κB
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Signaling leading to the survival or apoptosis of immune system cells must be balanced to ensure the normal mounting and extinguishing of immune responses. One of the essential regulators of immune cell survival is the transcription factor nuclear factor kappaB (NF-kappaB). NF-kappaB is critical for the activation of T and B lymphocytes and is a central coordinator of innate and adaptive immunity. Pathogen recognition, whether mediated via the Toll-like receptors or via the antigen-specific T- and B-cell receptors, initiates the activation of distinct signal transduction pathways that activate NF-kappaB. Activation of NF-kappaB by these pathways is necessary for lymphocyte activation, expansion, and effector function in response to infection. In addition, recent work has shown that the aberrant activation of NF-kappaB by these pathways can contribute to the development of autoimmunity, chronic inflammation, or lymphoid malignancy. There is thus an urgent need to understand the exact molecular details of these signal transduction cascades so that we may develop novel therapeutics. This article will review the specific signal transduction pathways that mediate NF-kappaB activation in response to antigen receptor ligation in T and B lymphocytes. These newly defined pathways, which are essential for adaptive immune responses, are built around the key adapter protein, Bcl-10. Bcl-10 is known to participate in chromosomal translocations in human mucosa-associated lymphoid tissue lymphomas.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 it