Activation‐induced cytidine deaminase induces DNA break repair events more frequently in the Ig switch region than other sites in the mammalian genome
Bibliographic record
Abstract
Activation-induced cytidine deaminase (AID) produces DNA breaks in immunoglobulin genes during antibody diversification. Double-stranded breaks (DSB) in the switch region mediate class switch recombination, and contribute to gene conversion and somatic hypermutation in the variable regions. However, the relative extent to which AID induces DSB in these regions or between these and other actively expressed sequences is unknown. Here, we exploited an enhancer-trap plasmid that identifies DSB in actively expressed loci to investigate the frequency and position of AID-induced vector integration events in mouse hybridoma cells. Compared to control cells, wild-type AID stimulates plasmid integration into the genome by as much as 29-fold. Southern and digestion-circularization PCR analysis revealed non-uniformity in the integration sites, with biases of 30- and 116-fold for the immunoglobulin kappa light chain and mu heavy chain genes, respectively. Further, within the immunoglobulin mu gene, 73% of vector integrations map to the mu switch region, an enhancement of five- and 12-fold compared to the adjacent heavy chain variable and mu gene constant regions, respectively. Thus, among potential highly transcribed genes in mouse hybridoma cells, the immunoglobulin heavy and light chain genes are important AID targets, with the immunoglobulin mu switch region being preferred compared to other genomic sites.
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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".