CD45-Deficient Mice Accumulate Pro-B Cells Both In Vivo and In Vitro
Bibliographic record
Abstract
Efficient generation of mature B lineage cells requires the participation of the BCR, the pre-BCR, accessory coreceptors, and growth factor receptors. Together these receptors integrate cell intrinsic signals with regulatory pathways initiated by surrounding cells and structures. CD45 is a receptor tyrosine phosphatase expressed at high levels on all hemopoietic cells, and has been shown to modulate many signaling cascades in both positive and negative manners. In the absence of B220, the B lineage isoform of CD45, differentiation to the mature B cell stage is incomplete. We demonstrate that CD45-deficient mice also accumulate pro-B cells in the bone marrow. In vitro differentiation is altered in that B lineage populations exhibit prolonged survival in the presence of high concentrations of IL-7. Cell lines derived from CD45-deficient animals experience prolonged JAK/STAT activation in response to IL-7 stimulation, and constitutively elevated levels of phosphorylated src kinases. Aberrant IL-7Ralpha expression is observed in vivo, and may be responsible for the skewed development present in CD45(-/-) animals. Demonstrating that CD45-deficient pro-B cells are affected by the absence of B220 highlights a previously unrecognized parallel in B and T lineage precursors, and emphasizes that the presence of normal numbers of peripheral B cells does not assure that the bone marrow compartment is intact.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".