Retroviral Transduction of Hematopoietic Progenitors Derived From Human Embryonic Stem Cells
Bibliographic record
Abstract
It has been recently identified that cytokines and BMP-4 promote hematopoiesis from human embryonic stem cells (hESC) and that, before hematopoietic commitment, a rare subpopulation of cells lacking CD45, but expressing PECAM-1, Flk-1, and VE-cadherin (hereinafter termed CD45(neg)PFV precursors), are exclusively responsible for hematopoietic cell fate on cytokine stimulation. Efficient strategies to stably transduce these hematopoietic precursors specifically generated from hESCs would provide a novel and desirable tool to study hematopoietic development through the introduction and characterization of candidate genes suspected to regulate self-renewal processes of hESC-derived hematopoietic cells or dynamically track hESC-derived hematopoietic stem cells in vivo. To date, only transient transfection and stable transduction using lentiviral vectors have been reported in undifferentiated hESC followed by random and spontaneous differentiation into different cell types. However, protocols for stable transduction of hematopoietic progenitors prospectively derived from hESC need to be developed yet. In the present chapter, we described detailed methods on the recently characterized and optimized GALV-pseudotyped retroviral gene transfer strategy to stably transduce the hematopoietic progenitor cells prospectively derived from CD45(neg)PFV hemogenic precursors as a vital tool to study hematopoietic development and to characterize candidate genes suspected to eventually confer robust and sustained repopulating ability to hESC-derived hematopoietic cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".