Apoptosis and its modulation during B lymphopoiesis in mouse bone marrow
Bibliographic record
Abstract
Studies in normal, gene-deleted, transgenic and mutant mice have examined apoptotic cell death and its role in B lymphopoiesis in bone marrow. Apoptotic activity has been quantitated among phenotypically defined populations of precursor B cells using flow cytometry of apoptotic cells and an established model of B-cell development. In normal mice, the frequencies of apoptotic cells (apoptotic index) and accumulation of apoptotic cells during short-term culture (apoptotic rate) are maximal at around the pro/pre-B-cell transition and among immature B lymphocytes. The brief period between onset of apoptosis and clearance by macrophages (apoptotic transit time) is similar for most precursor B-cells. Apoptosis-modulating factors produce substantial changes in apoptotic activity among pro-B and pre-B cells, associated with altered expression of bcl-2 family proteins. Pro-B-cell apoptosis, normally extensive, is markedly suppressed in the absence of p53. Complete pro-B-cell abortion in RAG-2 deletion provides an assay for apoptotic fractions in other experimental systems. Pre-B-cell apoptosis is enhanced by deficiencies of interleukin (IL)-7, Abl protooncogene or colony-stimulating factor (CSF)-1 and overexpression of heat-stable antigen, and is inhibited by IL-7 and p190bcr/abl transgenes. CSF-1 and melatonin administration inhibit pre-B-cell apoptosis, probably via stromal cell stimulation. Such apoptotic modulation has implications for B-cell homeostasis, quality control, immunodeficiency and neoplasia.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".