The role of the preBCR, the interleukin-7 receptor, and homotypic interactions during B-cell development
Bibliographic record
Abstract
Summary: Considerable progress has been made in defining intermediate stages in the process leading from stem cells to mature B cells. Cell-bound and secreted molecules direct the progression through these stages and regulate the selection of clones from which the immune repertoire emerges. In fact, a myriad of signals derived from B-cell progenitors themselves and the microenvironment in which they develop direct the differentiation process. These signals are provided by B-cell antigen receptors (BCR) and their surrogates, and by adhesion and cytokine receptors. The co-operation of these receptors to control survival, expansion, and differentiation of early B-cell progenitors is the topic of this review. Specifically, we will summarize recent findings from our laboratory demonstrating that preBCR expression lowers the threshold for interleukin (IL)-7 responsiveness. How signals initiated by these receptors may intersect at this critical point of B-cell selection will be discussed. At the stage following IL-7 responsiveness we have shown that interactions between B-cell progenitors themselves promote their differentiation to immunoglobulin-secreting B cells. We propose that one function of stromal cells, known to be central to B lymphopoiesis, is to promote critical preB–preB homotypic interactions and ensuing signals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".