Absence of CD43 Fails to Alter T Cell Development and Responsiveness
Bibliographic record
Abstract
Genetic elimination of CD43 has been associated with increased T cell adhesiveness and T cell hyperresponsiveness to mitogens and alloantigens. Therefore, we investigated whether T cell development was perturbed in CD43-deficient mice by breeding CD43(null) mice with male Ag (Hy)-specific TCR-transgenic mice. Neither positive nor negative thymic selection of male Ag-specific T cells were affected by CD43 status. Furthermore, we did not observe a substantial or consistent hyperresponsive pattern in HY-CD43(null) lymph node cells compared with littermate HY-CD43(+/-) lymph node cells upon analysis of in vitro T cell stimulation with male Ag or mitogen. These observations challenged original conclusions associating absence of CD43 with T cell hyperresponsiveness and led us to re-examine this association. Reported phenotypes of CD43(null) mice have been based on mice with a mixed 129xC57BL/6 genetic background. To exclude a possible influence of genetic background differences among individual mice we analyzed CD43(null) littermates that had been back-bred onto the C57BL/6 background for seven to eight generations. We found that CD43(+) and CD43(null) littermates with the C57BL/6 background exhibited no differences in response to mitogen or alloantigen, thereby establishing that T cell hyperresponsiveness is not a general correlate of CD43 absence.
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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) | 0.000 | 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 | 0.001 |
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".