Bibliographic record
Abstract
C-Myc is a powerful trigger of beta-cell apoptosis and proliferation in rodent islets in vivo. In a transgenic tamoxifen-inducible model of c-Myc activation, c-Myc induction causes rapid beta-cell apoptosis and acute hyperglycemia. In this model, suppression of apoptosis by overexpression of the anti-apoptotic Bcl-xL gene leads to a full spectrum of tumor development upon c-Myc induction. Caspase-3 is a key effector molecule in the apoptotic process. To test the hypothesis that elimination of Caspase-3 will confer protection of beta-cells from c-Myc-induced apoptosis without the tumour formation seen in Bcl-xL overexpressing mice, we generated Caspase-3 knockout mice containing the c-Myc-inducible transgene. Indeed, in contrast to Bcl-xL overexpression, we have found that Caspase-3 deletion confers protection from c-Myc-induced apoptosis and diabetes development without unwanted tumourigenic effects. Results from these experiments may lead to further elucidation of mechanisms of c-Myc biology relevant to beta-cells which may result in novel therapeutic strategies for diabetes.
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 | 0.000 | 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".