Deletion hotspot in the argininosuccinate lyase gene: association with topoisomerase II and DNA polymerase α sites
Bibliographic record
Abstract
Molecular analysis of argininosuccinate lyase (ASAL) deficiency has led to the identification of a deletion hotspot in the ASL gene. Six individuals with ASAL deficiency had alleles that led to a complete absence of exon 13 from the ASL mRNA; each had a partial deletion of exon 13 in the genomic DNA. In all six patients, the deletions begin 18 bp upstream of the 3' end of exon 13. In four cases, the deletions were 13 bp in length, and ended within exon 13, whereas in two other patients the deletions were 25 bp and extended into intron 13. The sequence at which these deletions begin overlaps both a putative topoisomerase II recognition site and a DNA polymerase alpha mutation/frameshift site. Moreover, the topoisomerase II cut site is situated precisely at the beginning of the deletions, which are flanked by small (2- and 3-bp) direct repeats. We note that a similar concurrence of these two putative enzyme sites can be found in a number of other deletion sites in the human genome, most notably the DeltaF508 deletion in the CFTR gene. These findings suggest that the joint presence of these two enzyme sites represents a DNA sequence context that may favor the occurrence of small deletions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".