Human Embryonic Stem Cell-Derived Hematopoietic Cells Maintain Core Epigenetic Machinery of the Polycomb Group/Trithorax Group Complexes Distinctly from Functional Adult Hematopoietic Stem Cells
Bibliographic record
Abstract
Hematopoietic cells derived from human embryonic stem cells (hESCs) have a number of potential utilities, including the modeling of hematological disorders in vitro, whereas the use for cell replacement therapies has proved to be a loftier goal. This is due to the failure of differentiated hematopoietic cells, derived from human pluripotent stem cells (hPSCs), to functionally recapitulate the in vivo properties of bona fide adult hematopoietic stem/progenitor cells (HSPCs). To better understand the limitations of differentiation programming at the molecular level, we have utilized differential gene expression analysis of highly purified cells that are enriched for hematopoietic repopulating activity across embryonic, fetal, and adult human samples, including in vivo explants of human HSPCs 8-weeks post-transplantation. We reveal that hESC-derived hematopoietic progenitor cells (eHPCs) fail to express critical transcription factors which are known to govern self-renewal and myeloid/lymphoid development and instead retain the expression of Polycomb Group (PcG) and Trithorax Group (TrxG) factors which are more prevalent in embryonic cell types that include EZH1 and ASH1L, respectively. These molecular profiles indicate that the differential expression of the core epigenetic machinery comprising PcGs/TrxGs in eHPCs may serve as previously unexplored molecular targets that direct hematopoietic differentiation of PSCs toward functional HSPCs in humans.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".