Complex regulation of somatic hypermutation by cis-acting sequences in the endogenous IgH gene in hybridoma cells
Bibliographic record
Abstract
To create high-affinity antibodies, B cells target a high rate of somatic hypermutation (SHM) to the Ig variable-region genes that encode the antigen-binding site. This mutational process requires transcription and is triggered by activation-induced cytidine deaminase (AID), which converts deoxycytidine to deoxyuridine. Mistargeting of AID to non-Ig genes is thought to result in the malignant transformation of B cells, but the mechanism responsible for targeting SHM to certain DNA regions and not to others is largely unknown. Cis-acting elements have been proposed to play a role in directing the hypermutation machinery, but the motifs required for targeting SHM have been difficult to identify because many of the candidate elements, such as promoters or enhancers, are also required for transcription of Ig genes. Here we describe a system in cultured hybridoma cells in which transcription of the endogenous heavy-chain Ig gene continues in the absence of the core intronic enhancer (Emu) and its flanking matrix attachment regions (MARs). When AID is expressed in these cells, SHM occurred at the WT frequency even when Emu and the MARs were absent together. Interestingly, SHM occurred at less than the WT frequency when Emu or the MARs were individually absent. Our results suggest that these intronic regulatory elements can exert a complex influence on SHM that is separable from their role in regulating transcription.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".