Developmental stage–specific epigenetic control of human β-globin gene expression is potentiated in hematopoietic progenitor cells prior to their transcriptional activation
Bibliographic record
Abstract
To study epigenetic regulation of the human beta-globin locus during hematopoiesis, we investigated patterns of histone modification and chromatin accessibility along this locus in hematopoietic progenitor cells (HPCs) derived from both humans and transgenic mice. We demonstrate that the developmentally related activation of human beta-like globin genes in humans and transgenic mice HPCs is preceded by a wave of gene-specific histone H3 hyperacetylation and K4 dimethylation. In erythroid cells, expression of beta-like globin genes is associated with histone hyperacetylation along these genes and, surprisingly, with local deacetylation at active promoters. We also show that endogenous mouse beta major and human beta-like genes are subject to different epigenetic control mechanisms in HPCs. This difference is likely due to intrinsic properties of the human beta-globin locus since, in transgenic mice, this locus is epigenetically regulated in the same manner as in human HPCs. Our results suggest that a defined pattern of histone H3 acetylation/dimethylation is important for specific activation of human globin promoters during development in human and transgenic HPCs. We propose that this transient acetylation/dimethylation is involved in gene-specific potentiation in HPCs (ie, before extensive chromatin remodeling and transcription take place in erythroid 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".