Biases in Ig λ Light Chain Rearrangements in Human Intestinal Plasma Cells
Bibliographic record
Abstract
Human intestinal lamina propria plasma cells are considered to be the progeny of chronically stimulated germinal centers located in organized gut-associated lymphoid tissues such as Peyer's patches and isolated lymphoid follicles. We have sampled human colonic lamina propria plasma cells and naive and memory B cell subsets from human Peyer's patches by microdissection of immunohistochemically stained tissue sections and used PCR methods and sequence analysis to compare IgVlambdaJlambda rearrangements in the plasma cell and B cell populations. Rearrangements that were either in-frame or out-of-frame between V and J were compared. Usage of IgVlambda families in the in-frame rearrangements from the plasma cells resembled that observed in the mantle cells, suggesting that antigenic selection for cellular specificity does not dramatically favor any particular Vlambda segment. However, in marked contrast, out-of-frame rearrangements involving Vlambda1 and Vlambda2 families are rarely observed in intestinal plasma cells, whereas rearrangements involving Vlambda5 are increased. This resulted in significantly biased ratios of in-frame:out-of-frame rearrangements in these Vlambda families. Out-of-frame rearrangements of IgVlambdaJlambda from plasma cells, including those involving the Vlambda5 family, have a significant tendency not to involve Jlambda1, consistent with the hypothesis that this population includes rearrangements generated by secondary recombination events. We propose that modification of out-of-frame rearrangements of IgVlambdaJlambda exists, probably a consequence of secondary rearrangements. This may be a mechanism to avoid translocations to susceptible out-of-frame IgVlambdaJlambda rearrangements during somatic hypermutation.
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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) | 0.002 | 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".