The magnitude of germinal center reactions is restricted by a fixed number of preexisting niches
Bibliographic record
Abstract
Antibody affinity maturation occurs in the germinal center (GC), a highly dynamic structure that arises upon antigen stimulation and recedes after infection is resolved. While the magnitude of the GC reaction is highly fluctuating and depends on antigens or pathological conditions, it is unclear whether GCs are assembled ad hoc in different locations or in preexisting niches within B cell follicles. We show that follicular dendritic cells (FDCs), the essential cellular components of the GC architecture, form a predetermined number of clusters. The total number of FDC clusters is the same on several different genetic backgrounds and is not altered by immunization or inflammatory conditions. In unimmunized and germ-free mice, a few FDC clusters contain GC B cells; in contrast, immunization or autoimmune milieu significantly increases the frequency of FDC clusters occupied by GC B cells. Excessive occupancy of GC niches by GC B cells after repeated immunizations or in autoimmune conditions suppresses subsequent antibody responses to new antigens. These data indicate that the magnitude of the GC reaction is restricted by a fixed number of permissive GC niches containing preassembled FDC clusters. This finding may help in the future design of vaccination strategies and in the modulation of antibody-mediated autoimmunity.
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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 | 0.000 |
| 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".