ERCC1: A comparative genomic perspective
Bibliographic record
Abstract
ERCC1 plays an essential role in the nucleotide excision repair (NER) of DNA. We compare 37 kb of sequence from the ERCC1 region on human chromosome 19q13.3 to the orthologous region on mouse chromosome 7. In addition to showing the conserved gene structure between ERCC1, ASE-1, and their murine counterparts, this genomic comparison reveals a highly conserved 497 bp segment found 5 kb upstream of ERCC1 exon 1 that contains a CpG island and previously unidentified "classical" promoter elements. Additional putative regulatory elements are also found within a conserved LINE-1 (long interspersed nuclear element) sequence 800 bp upstream of exon 1 in both human and mouse. Expressed sequence tag (EST) assemblies for human ERCC1 identified numerous splice variants involving exons 1, 2, 3, 7, 8, and 9 that could affect DNA repair efficiencies of ERCC1. A previously undescribed transcript that reads through exon 9 and utilizes the polyadenylation signal of a neighboring Alu element accounts for nearly half of the total splice variants identified in the human EST database. This transcript would theoretically translate to a larger ERCC1 protein product containing a novel C-terminal end. Overall, approximately 18% of publicly available ERCC1 cDNA sequences were determined to be splice variants, while no variants were found in the mouse. The ability to assess novel transcripts and identify candidate regulatory regions demonstrates the potential utility for a catalogue archiving comparative analyses for all genes involved in DNA repair. Our comparative genomic analysis of ERCC1 can be viewed at http://web.uvic.ca/-bioweb/laj.html.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".