Functional and Molecular Analysis of Maturation of Thymocytes in Bcl10 or Malt1 Deficient Mice.
Bibliographic record
Abstract
Abstract Development of immature T cells in the thymus requires signals through the clonotypic T cell receptor (TCR). Thymocytes expressing a functionally inactive or autoreactive TCR are deleted via apoptosis (negative selection). Thymocytes expressing a functionally active but not autoreactive TCR are selected through inhibition of cell death (positive selection). Deregulation of this process is likely to result in autoimmunity or lymphomagenesis of T cells. The intracellular mechanisms by which the balance between TCR-dependent survival and apoptosis are regulated are largely unknown. A central regulator of survival and apoptosis in the immune system is the transcription factor NF-κB. Activation of NF-κB in mature T-cells requires the adaptor proteins Bcl10 and Malt1. Using gene-targeted mice deficient for Bcl10 or Malt1, we show that Bcl10 and Malt1 are also required for TCR-induced NF-κB activation in immature T cells. Furthermore, to elucidate the process of T cell selection within the thymus, we have crossed Bcl10 or Malt1 deficient mice into mice with genetic backgrounds expressing defined TCR transgenes. Using specific peptide agonists of these TCR transgenes, we show that neither in vivo nor in vitro development into single positive (SP) CD4 or CD8 positive T cells is altered in Bcl10 or Malt1 deficient mice. Absolute numbers and ratio of SP T cells found within the thymus or in peripheral lymphnodes of transgenic animals are normal. These findings indicate that Bcl10 and Malt1 activate NF-κB in thymocytes but are dispensable for maturation of immature T cells in this model system.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".