Growth retardation and premature aging phenotypes in mice with disruption of the SNF2-like gene, PASG
Bibliographic record
Abstract
Imperfect maintenance of genome integrity has been postulated to be an important cause of aging. Here we provide support for this hypothesis by demonstrating that the disruption of PASG (lsh), a SNF2-like factor that facilitates DNA methylation, causes global hypomethylation, developmental growth retardation and a premature aging phenotype. PASG mutant mice display signs of growth retardation and premature aging, including low birth weight, failure to thrive, graying and loss of hair, reduced skin fat deposition, osteoporosis, kyphosis, cachexia, and premature death. Fibroblasts derived from PASG mutant embryos show a replicative senescence phenotype. Both PASG mutant mice and fibroblasts demonstrate a markedly increased expression of senescence-associated tumor suppressor genes, such as p16(INK4a), that is independent of promoter methylation, but, instead, is associated with down-regulation of bmi-1, a negative regulator of p16(INK4a). These studies show that PASG is essential for properly maintaining DNA methylation and gene expression patterns that are required for normal growth and longevity. PASG mutant mice provide a useful model for the study of aging as well as the mechanisms regulating epigenetic patterning during development and postnatal life.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".