Detection of thyroglobulin mRNA as truncated isoform(s) in mouse thymus
Bibliographic record
Abstract
Recent studies employing reverse transription-polymerase chain reaction (RT-PCR) have demonstrated the intrathymic presence of mRNA for various autoantigens, including thyroglobulin (Tg). Deliberations on the mechanisms of central tolerance usually assume that this approach detects intact mRNA transcripts that can be translated to express the whole autoantigen in the thymus. In the present study, we tested this assumption using mRNA transcripts of mouse Tg which encode at least 13 pathogenic peptides, scattered over a large (8.5 kb) sequence. We found that mRNA encoding 11 out of these 13 Tg peptides was present in both the thyroid and the thymus of CBA/J mice, with no apparent temporal fluctuations in expression from birth to 12 weeks of age. Interestingly, detection of these sequences was also demonstrable in the liver and kidney, but not in muscle. However, mRNA encoding two pathogenic peptides (amino acids 1-12 and amino acids 1579-1591) was detected intrathyroidally but not in the other tissues. Further analysis by RT-PCR showed that Tg mRNA transcripts in the thymus, liver and kidney lack segments within the 1-915 bp and 961-5013 bp regions, spANNing exons 1-7 and 9-22, respectively. These data strongly suggest that certain known and perhaps other, as yet unmapped, pathogenic T-cell epitopes of Tg cANNot be encoded by the truncated isoform(s) of intrathymic Tg mRNA. These findings also imply that central tolerance to endogenous Tg produced by thymic epithelial cells may be incomplete.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".