A Novel Transcription-Interference Mechanism To Suppress Checkpoint
Bibliographic record
Abstract
Meiosis is a linear differentiation pathway remarkable for deliberate DNA damage. During meiotic prophase, DNA damage checkpoint is repressed, which may promote homologous recombination and repair. Meiotic breaks are known to influence meiotic chromosome segregation, preventing aneuploidy in gametes. Convergent genes cause transcriptional interference through overlapping transcripts, resulting in gene suppression. This general mechanism of gene silencing has been noted in both yeast and metazoans. In Schizosaccharomyces pombe, chk1⁺ is convergent with the meiotically upregulated meu27⁺ gene. Through gain- and loss-of-function assays we are developing a model of checkpoint regulation during nitrogen stress. We find that altered meu27⁺ expression impacts chk1⁺ mRNA levels, DNA segregation, and cell cycle progression. S. pombe encodes several DNA damage checkpoint genes that are convergent with stress-inducible transcripts. Therefore, we investigate the possibility that convergent transcription is a mechanism altering DNA damage repair during other stresses and differentiation programmes which may trigger unregulated cell division.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".