Distinct dosage requirements for the maintenance of long and short telomeres in <i>mTert</i> heterozygous mice
Bibliographic record
Abstract
Telomerase is a ribonucleoprotein containing an essential telomerase RNA template and telomerase reverse transcriptase (TERT) that maintains telomeres. The dosage requirements for mammalian TERT in telomere length homeostasis are not known, but are of importance in cellular senescence, stem cell renewal, and cancer. Here, we characterize telomere maintenance and function upon successive breeding of mice deficient in mTert. These studies reveal a unique dosage requirement for telomere length maintenance by TERT; despite haploinsufficiency for the maintenance of long telomeres, mTert+/- mice retain minimal telomere DNA at all chromosome ends and do not exhibit the infertility typical of telomerase-deficient strains. Unlike the long (>50 kbp) average telomere lengths of wild-type laboratory mice, mTert+/- animals mice possess short telomere lengths similar to humans and wild-derived mice. Unexpectedly, mTert+/- mice are ersatz carriers for genetic instability, because their mating led to accelerated genetic instability and infertility in null progeny. Thus, limiting TERT levels play a key role in the maintenance of genome integrity, with important ramifications for the maintenance of short telomeres in human cancer and aging.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".