Phosphorylation state of the histone variant H2A.X controls human stem and progenitor cell fate decisions
Bibliographic record
Abstract
Histone variants (HVs) are a subfamily of epigenetic regulators implicated in embryonic development, but their role in human stem cell fate remains unclear. Here, we reveal that the phosphorylation state of the HV H2A.X (γH2A.X) regulates self-renewal and differentiation of human pluripotent stem cells (hPSCs) and leukemic progenitors. As demonstrated by CRISPR-Cas deletion, H2A.X is essential in maintaining normal hPSC behavior. However, reduced levels of γH2A.X enhances hPSC differentiation toward the hematopoietic lineage with concomitant inhibition of neural development. In contrast, activation and sustained levels of phosphorylated H2A.X enhance hPSC neural fate while suppressing hematopoiesis. This controlled lineage bias correlates to occupancy of γH2A.X at genomic loci associated with ectoderm versus mesoderm specification. Finally, drug modulation of H2A.X phosphorylation overcomes differentiation block of patient-derived leukemic progenitors. Our study demonstrates HVs may serve to regulate pluripotent cell fate and that this biology could be extended to somatic cancer stem cell control.
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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".