Distinctive Participation of Transcription-Coupled and Global Genome Nucleotide Excision Repair of Pyrimidine Dimers in the Transcribed Strand of Yeast rRNA Genes
Bibliographic record
Abstract
UV light causes the formation of pyrimidine dimers (PDs). Transcription-coupled (TC) nucleotide excision repair (NER) and global genome (GG) NER remove PDs from the transcribed strand (TS) of active genes and the inactive genome, respectively. TC-NER is triggered by elongating RNA polymerases that are blocked at PDs. The yeast rRNA genes are densely loaded with RNA polymerase-I. After UV irradiation, their density increases at the 5'-end of the gene, which results from continuous transcription initiation, followed by elongation and pausing/release at the first encountered PD, from the transcription start site. RNA polymerase-I posed at downstream PDs are released from the TS and are replaced by nucleosomes. Consequently, discrete chromatin structures are formed in the damaged transcribed rRNA genes. Singular assignation of the two NER sub-pathways could therefore be required to eliminate PDs from the TS. To advance our understanding of NER in the dynamic structure of transcribed chromatin, we investigated the repair of PDs at nucleotide resolution in separate rRNA gene coding regions. In the TS, the TC-NER efficiency reflected the density of RNA polymerase-I, and PDs were removed faster in the 5'-end than in the 3'-end of the gene. GG-NER removed PDs from the TS where RNA polymerase-I was transiently replaced by a nucleosome. The two NER sub-pathways inversely participated to remove PDs from the TS. In the non-TS of both nucleosome and non-nucleosome rRNA gene coding regions, GG-NER was solely responsible to remove UV-induced DNA lesions.
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".