Effects of Interleukin-3 on Murine Fetal Liver Hemopoiesis in utero
Bibliographic record
Abstract
The normal regulation of primitive hemopoietic stem cells (PHSCS) throughout development involves locally produced factors and humoral factors. While considerable information is available on the effects of candidate hemopoietic growth factors (HGFs) on postnatal hemopoietic tissues, little is known about the regulatory events of developing hemopoietic stem cells within fetal microenvironments. Fetal hemopoiesis represents expanding populations and may be under different regulatory control mechanisms. The microinjection of purified interleukin-3 (IL-3), a candidate HGF, into 13-day-old mouse fetuses via the yolk sac, allowed us to evaluate its effects on morphogenetic events and, more specifically, on fetal liver populations using quantitative in vitro clonal assays for hemopoietic precursors. In view of the sensitivity of fetal development during the early organogenetic period, considerable care was taken to identify the stress effects of the surgical laparotomy and the microinjection procedure. Control studies, required to distinguish stress effects of surgical laparotomy and microinjection, clearly revealed that the fetal liver is a sensitive organ responding with limited tissue disorganization, reduced cellularity and erythropoietic activity, as monitored 24 h after experimental intervention. The microinjection of 15 units of IL-3 promoted a significant expansion of depleted liver hemopoietic-cell populations and had stimulatory effects on the distribution of connective tissue mast cells and absolute cell numbers, including hemopoietic precursors (erythroid, granulocyte, macrophage, megakaryocyte), compared to controls. These studies suggest that (1) fetal liver hemopoiesis is selectively sensitive to maternal stress but has an effective regenerative capacity to maintain essential hemopoiesis in utero, and (2) fetal hemopoietic cells require an ability to respond to IL-3 early in fetal development.
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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 | 0.000 | 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 | 0.000 |
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".