The chicken erythrocyte epigenome
Bibliographic record
Abstract
BACKGROUND: Transcriptional regulation is impacted by multiple layers of genome organization. A general feature of transcriptionally active chromatin is sensitivity to DNase I and association with acetylated histones. However, very few of these active DNase I-sensitive domains, such as the chicken erythrocyte β-globin domain, have been identified and characterized. In chicken polychromatic erythrocytes, dynamically acetylated histones associated with DNase I-sensitive, transcriptionally active chromatin prevent histone H1/H5-induced insolubility at physiological ionic strength. RESULTS: Here, we identified and mapped out all the transcriptionally active chromosomal domains in the chicken polychromatic erythrocyte genome by combining a powerful chromatin fractionation method with next-generation DNA and RNA sequencing. Two classes of transcribed chromatin organizations were identified on the basis of the extent of solubility at physiological ionic strength. Highly transcribed genes were present in multigenic salt-soluble chromatin domains ranging in length from 30 to over 150 kb. We identified over 100 highly expressed genes that were organized in broad dynamically highly acetylated, salt-soluble chromatin domains. Highly expressed genes were associated with H3K4me3 and H3K27ac and produced discernible antisense transcripts. The moderately- and low-expressing genes had highly acetylated, salt-soluble chromatin regions confined to the 5' end of the gene. CONCLUSIONS: Our data provide a genome-wide profile of chromatin signatures in relation to expression levels in chicken polychromatic erythrocytes.
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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".