B cell differentiation governed by distinct microenvironments (LYM7P.622)
Bibliographic record
Abstract
Abstract B cell differentiation is regulated by the surrounding microenvironment, which produces cytokines, chemokines, and adhesion molecules that guide B cell commitment and differentiation. The gastrointestinal tract, in constant interaction with microbiota, constitutes a distinctive microenvironment for B cell differentiation. While the bone marrow and spleen contain few IgA+ cells, the gut lamina propria is largely colonized by IgA+ cells, which contain a subset of myeloid-like plasma cells expressing IgA, TNFα, iNOS, CD11c, Ly6C and Ly6G. Whether the bone marrow stroma produces inhibitory factors for IgA+ cell generation or the gut lamina propria stroma produces inducing factors needs further investigation. We developed an in vitro system to co-culture stromal cells with B cells to characterize the signals necessary to generate IgA+ cells. It was found that intestinal microbial components along with the intestinal lamina propria stromal cells played an important role in the emergence of both IgA+ and myeloid-like plasma cells. Interestingly, bone marrow and spleen-derived stroma showed an inhibitory effect on the generation of IgA+ cells. Stromal soluble factors (e.g. IL-1, IL-6, and MCP-1) might play a role in the guidance of B cell IgA switching, proliferation, survival, and differentiation. These experiments will provide a better understanding of the impact of microenvironments in shaping B cell development, and we will identify the molecular mechanisms they use.
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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) | 0.003 | 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".