Identification, isolation and characterization of proinsulin producing thymic cells
Bibliographic record
Abstract
The finding that more than 152 tissue-restricted antigens are expressed by thymic medullary epithelial cells is redefining the importance of thymic central tolerance induction in the prevention of autoimmune diseases. One of the tissue-restricted antigens in the thymus is proinsulin, and in both mice and humans, reduced thymic proinsulin levels have been shown to predispose to Type 1 diabetes. Using transgenic mice expressing a functional beta-Galactosidase gene under the regulation of the Ins2 promoter we have determined that between 1-3% of all medullary thymic epithelial cells express proinsulin and that these cells are frequently part of the Hassall's Corpuscles like structures in mice. Using a cross between the beta-Galactosidase expressing mice and Immortomice (expressing SV40 large T Antigen under the regulation of the MHC I promoter), we have isolated and cultured two proinsulin and two non-proinsulin producing medullary epithelial cell lines. Microarray analysis and RT-PCR analysis of the cell lines revealed the over-expression of approximately 50 genes (>4 fold or more) in the proinsulin producing lineage, versus the non proinsulin producing lineage, and approximately half the over-expressed genes can be considered tissue-restricted antigens. We do not find any evidence for chromosomal clustering of the over-expressed genes nor do we report the expression of any other pancreatic n-cell antigens or specific pancreatic proinsulin regulatory proteins (Pdx-1, Glut-2 or GCK) within the proinsulin producing cell lines but we do detect their expression in whole thymus. Our results suggest that chromosomal clustering is not a phenomenon associated with thymic tissue-restricted antigen expression and that the mechanisms allowing for thymic tissue-restricted antigen expression are not related to the expression mechanisms of such antigens in peripheral tissues.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".