Primitive interleukin 3 null hematopoietic cells transduced with BCR-ABL show accelerated loss after culture of factor-independence in vitro and leukemogenic activity in vivo
Bibliographic record
Abstract
Primitive chronic myeloid leukemia cells display a unique autocrine interleukin 3 (IL-3)/granulocyte-colony-stimluating factor (G-CSF) mechanism that may explain their abnormal proliferation and differentiation control. Here we show that BCR-ABL transduction of primitive Sca-1(+) lin(-) mouse bone marrow (BM) cells causes immediate activation of IL-3, G-CSF, and granulocyte macrophage-colony-stimulating factor (GM-CSF) expression in these cells. Their autocrine IL-3-mediated growth dependence is thus demonstrable only in clonal cultures where paracrine effects are reduced. Interestingly, upon continued culture, these cells produce large populations of rapidly proliferating mast cells in which only the IL-3 autocrine mechanism is consistently maintained, together with evidence of hyperphosphorylation of p210(BCR-ABL) and STAT5 and retention of a multilineage but attenuated in vivo leukemogenic potential characterized by a prolonged latency. BCR-ABL transduction of IL-3(-/-) Sca-1(+) lin(-) BM cells initially activates GM-CSF and G-CSF production, factor independence, and the ability to generate phenotypically indistinguishable populations of mast cells. However, maintenance of factor independence, and p210(BCR-ABL) and STAT 5 activation beyond 4 to 6 weeks, requires rescue with an IL-3 transgene. The cultured BCR-ABL-transduced IL-3(-/-) cells also lack leukemogenic activity in vivo. These findings provide new evidence that IL-3 production is a rapid, sustained, and biologically relevant consequence of BCR-ABL expression in primitive hematopoietic cells with multilineage leukemogenic activity.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".