The improved survival of hematopoietic cells cultured with a fusion protein of insulin-like growth factor II (IGF-II) and interleukin 3 (IL-3) is associated with increases in Bcl-xL and phosphatidylinositol-3 kinase activity
Bibliographic record
Abstract
We compared the antiapoptotic activity of a recombinant chimera of insulin-like growth factor II (IGF-II) and interleukin (IL)-3 with the corresponding equimolar mixture of the individual components based on changes in several factors associated with survival in the CD34+ human hematopoietic cell line TF-1. Propidium iodide-stained cells analyzed by fluorescein-activated cell sorter indicated that the chimera was more effective than the corresponding equimolar mixture in decreasing the amounts of apoptotic cells and increasing the proportion of cells in the S-phase of the cell cycle. The chimera was more effective in increasing the antiapoptotic protein Bclx(L) and produced a significant increase in signal transducer and activator of transcription-5 phosphorylation and in phosphatidylinositol-3 kinase (PI-3K) activity. The PI-3K inhibitor LY294002 specifically inhibited cell survival in the presence of the chimera, suggesting a key role of this enzyme in the potentiation of survival caused by the linkage of IGF and IL-3. This potentiation of survival and its preferential inhibition by LY294002 were also observed in a nontransformed, primary culture of human umbilical cord endothelial 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".