Bone marrow basophils enhance immature B cell survival by recruitment and contact dependent signals
Bibliographic record
Abstract
Abstract B cell development in the bone marrow relies upon an organized tissue structure. Maturing progenitors migrate between several distinct niches and towards the sinusoidal vessels before entering circulation. Microenvironments specific for early developmental stages are provided by stroma expressing CXCL12 (pre-pro-B), IL-7 (pro-B), or Galactin-1 (pre-B); however, the identity of a defined niche for immature B cells remains unclear. A DX5+Thy1lo cell has been shown to provide IgM+ progenitors survival signals through direct cell-cell contact; but the cell type responsible, factors provided, and the influence this help may have on B cell function remains unknown. Here, utilizing in vitro B cell selection assays and in vivo depletion experiments, we identify the DX5+Thy1lo cells as basophils. We demonstrate that this population produces chemotactic factors, which act to recruit immature B cells and therefore enable provision of pro-survival signals directly via cell-cell contact. Furthermore, the bone marrow basophil population expanded during the first 24 hours following induction of inflammation by injection of Freund’s incomplete adjuvant. This response correlated with an increase in the number of immature B cells within the marrow, as well as, a reduction of lambda light chain usage in the immature but not mature B cell population. These results reveal that bone marrow basophils actively provide a supportive microenvironment for immature B cells and that the sensitivity of basophils to inflammatory stimuli may modulate BCR repertoire development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".