Avian Models to Study the Transcriptional Control of Hematopoietic Lineage Commitment and to Identify Lineage-Specific Genes
Bibliographic record
Abstract
E26 is an avian acute leukemia virus with a profound ability to transform multipotent hematopoietic progenitor cells both in vivo and in vitro. Progenitor cells transformed by this virus can be expanded in vitro as undifferentiated clones for up to two months and can also be induced to differentiate into cells of the erythroid, eosinophilic, thrombocytic, and myelomonocytic lineages with reproducible kinetics. Aside from the proliferative stimulus provided by the E26 oncoprotein, these cells are remarkably similar to normal hematopoietic progenitors. They therefore provide an ideal assay system for determining the influence of ectopically expressed transcription factors on both maturation and commitment to several hematopoietic lineages. Results from experiments using this system suggest that subtle shifts in the balance of lineage-restricted transcription factors can result in profound changes in phenotype and challenge the notion that lineage commitment is a uni-directional process. Analysis of the regulatory elements governing the expression of these genes has provided novel mechanistic insights into the transcriptional control of hematopoiesis. In addition to their utility in deciphering the control of lineage commitment, the ability to grow large numbers of undifferentiated and more mature hematopoietic cells has facilitated the discovery of a number of novel, lineage-restricted genes. Analysis of the proteins encoded by these genes is helping to clarify the role of a number of membrane proteins in the interaction between hematopoietic cells and their microenvironments.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".