Effect of Human Granulocyte-Macrophage Colony Stimulating Factor (hGM-CSF) on Lymphoid and Myeloid Differentiation of Sorted Hematopoietic Stem Cells from hGM-CSF Receptor Gene Transgenic Mice
Bibliographic record
Abstract
Bone marrow lineage-negative (Lin(-)) c-Kit(+) Sca-1(+) hematopoietic cells from human GM-CSF receptor gene transgenic mice were cultured on established bone marrow stromal cell (TBR59) layers and on semisolid medium. In the semisolid assay, an increasing number of larger colonies were observed in the presence of hGM-CSF. By coculture with the stromal cells, cobblestones containing myeloid and lymphoid lineages of cells were formed from the stem cell enriched fraction, and addition of hGM-CSF strongly stimulated formation of the cobblestones containing both lineages. Repeating passages of the cobblestones on TBR59 stromal cells in the presence of hGM-CSF gradually decreased cobblestone formation and inversely increased macrophages and granulocytes, while mast cells were generated when the cells derived from the semisolid assay were cultured in a liquid medium containing hGM-CSF. These results consistently suggest that cytokines such as GM-CSF may costimulate the immature hematopoietic cells at their stroma-dependent phase before lineage commitment, and after commitment that occurs by an intrinsic program of the cells, they may stimulate maintenance and maturation of progenitor cells.
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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 | 0.000 |
| 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".