Tolerance and immunity to tumor‐associated antigen MUC1 in MUC1.Tg mice
Bibliographic record
Abstract
Numerous adenocarcinomas aberrantly express a hypoglycosylated form of human mucin 1 (MUC1), containing epitopes with tumor‐associated mono‐ and disaccharide moieties including Tn, sialyl‐Tn, and TF antigens along with bare protein backbone. In the MUC1 transgenic mouse the immune system maintains a level of tolerance to MUC1 peptides, most notably in decreased CD4 T cell help. We are further examining the mechanisms of tolerance to MUC1 peptide (self), as compared to responses to a tumor‐associated MUC1 glycopeptide (non‐self), which should not be subject to tolerance. We have cloned a MUC1 glycopeptide‐specific MHC‐Class II restricted TCR (RFT). that is currently being used to generate TCR transgenic mice for comparative in vivo studies with MUC1 peptide‐specific TCR transgenic mice previously generated. Preliminary adoptive transfer studies have indicated that peptide‐specific TCR transgenic T cells are able to persist in both wild type and MUC1.Tg mice, but upon MUC1 immunization, only the cells in wild type recipients appear activated. Taken together our studies explore the differences in immune responsiveness to two different tumor‐associated forms of MUC1 in a preclinical model where MUC1 is endogenously expressed and functioning and will enable us to tailor more effective and safe MUC1 vaccination strategies. (supported by NIH grants T32CA82084 and RO1CA56103; J.G. by grants from CBCRA/CCS)
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".