The mismatch repair pathway functions normally at a non-AID target in germinal center B cells
Bibliographic record
Abstract
Deficiency in Msh2, a component of the mismatch repair (MMR) system, leads to an approximately 10-fold increase in the mutation frequency in most tissues. By contrast, Msh2 deficiency in germinal center (GC) B cells decreases the mutation frequency at the IgH V region as a dU:dG mismatch produced by AID initiates modifications by MMR, resulting in mutations at nearby A:T base pairs. This raises the possibility that GC B cells express a factor that converts MMR into a globally mutagenic pathway. To test this notion, we investigated whether MMR corrects mutations in GC B cells at a gene that is not mutated by AID. Strikingly, we found that GC B cells accumulate 5 times more mutations at a reporter gene than during the development of the mouse. Notably, the mutation frequency at this reporter gene was approximately 10 times greater in Msh2(-/-) compared with wild-type GC B cells cells. In contrast to the V region, the increased level of mutations at A:T base pairs in GC B cells was not caused by MMR. These results show that in GC B cells, (1) MMR functions normally at an AID-insensitive gene and (2) the frequency of background mutagenesis is greater in GC B cells than in their precursor follicular B cells.
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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 | 0.001 |
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".