Dynamic Regulation of Histone H3 Methylation at Lysine 4 in Mammalian Spermatogenesis1
Bibliographic record
Abstract
Spermatogenesis is a highly complex cell differentiation process that is governed by unique transcriptional regulation and massive chromatin alterations, which are required for meiosis and postmeiotic maturation. The underlying mechanisms involve alterations to the epigenetic layer, including histone modifications and incorporation of testis-specific nuclear proteins, such as histone variants and protamines. Histones can undergo methylation, acetylation, and phosphorylation among other modifications at their N-terminus, and these modifications can signal changes in chromatin structure. We have identified the temporal and spatial distributions of histone H3 mono-, di-, and trimethylation at lysine 4 (K4), and the lysine-specific histone demethylase AOF2 (amine oxidase flavin-containing domain 2, previously known as LSD1) during mammalian spermatogenesis. Our results reveal tightly regulated distributions of H3-K4 methylation and AOF2, and that H3-K4 methylation is very similar between the mouse and the marmoset. The AOF2 protein levels were found to be higher in the testes than in the somatic tissues. The distribution of AOF2 matched the cell- and stage-specific patterns of H3-K4 methylation. Interaction studies revealed unique epigenetic regulatory complexes associated with H3-K4 methylation in the testis, including the association of AOF2 and methyl-CpG-binding domain protein 2 (MBD2a/b) in a complex with histone deacetylase 1 (HDAC1). These studies enhance our understanding of epigenetic modifications and their roles in chromatin organization during male germ cell differentiation in both normal and pathologic states.
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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".