HIGH DOSE BONE MARROW TRANSPLANTATION INDUCES DELETION OF ANTIGEN-SPECIFIC T CELLS IN A FAS-INDEPENDENT MANNER1
Bibliographic record
Abstract
BACKGROUND: Monoclonal antibody induced tolerance to high doses of multiple lymphocyte stimulating (MLS)+minor mismatched bone marrow has recently been associated with clonal deletion, as reported in fully allogeneic models of bone marrow transplantation. FasL-induced apoptosis has been shown to mediate antigen-specific T cell deletion after antigenic stimulation in wild-type and T cell receptor transgenic mice. Therefore, we investigate a role for the Fas pathway in deletional tolerance to high dose bone marrow. METHODS: Fas mutant and control mice (H-2k, MLS-1b) were tolerized under the cover of monoclonal antibodies to high dose (5 x 10(7) cells) AKR (H-2k, MLS-1a) bone marrow. Tolerance was confirmed by AKR skin grafting after antibody clearance. Antigen-reactive cell deletion was monitored by Vbeta6+ T cell elimination, measured by flow cytometry of peripheral blood throughout the experiment. Donor T cell (Thy1.1+) chimerism was assessed in a similar manner. RESULTS: Fas mutant mice infused with high dose AKR bone marrow under the cover of antibody were tolerant, as demonstrated by indefinite survival of AKR skin grafts. When high levels of donor cell chimerism were established in Fas mutant mice, peripheral deletion of antigen-reactive cells was observed to be independent of signaling through Fas. CONCLUSIONS: Apoptosis mediated by Fas receptor signaling is not the mechanism of clonal deletion of antigen-reactive cells after antibody facilitated high dose marrow transplantation. However, the Fas mutation does impair the development of adequate donor chimerism.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".