Epigenetic Mechanisms Governing Female and Male Germline Development in Mammals
Bibliographic record
Abstract
BACKGROUND: DNA methylation (DNAme) and histone posttranslational modifications (PTMs) play an integral role in the transcriptional regulation of specific sets of genes and retrotransposons. In turn, these chromatin marks are essential for cellular reprogramming, including during germline development. While DNAme is stably propagated in most somatic tissues, this epigenetic mark undergoes cycles of widespread erasure and re-establishment in the early embryo as well as in the germline. SUMMARY: De novo DNAme occurs at distinct developmental stages in male and female germ cells; before birth in prospermatogonia (PSG) and after birth in growing oocytes. Furthermore, while only ∼40% of the mouse genome is methylated in mature oocytes, ∼80% of the genome is methylated in mature sperm. Here, we review recent epigenome studies which reveal a complex interplay between histone PTMs and de novo DNAme in shaping the sexually dimorphic profiles of DNAme observed in mature gametes in the mouse, including in intergenic regions as well as at imprinted gametic differentially methylated regions (gDMRs). We discuss the dynamics and distribution of key histone PTMs in male and female germ cells, including H3K36me2/me3, H3K4me3, and H3K27me3, and the implications of positive and negative crosstalk between these PTMs and the DNAme machinery. Finally, we reflect on how the sex-specific epigenetic landscapes observed in the mouse germline impact transcriptional regulation in both the gametes and the early embryo. KEY MESSAGES: Investigation of the roles of chromatin modifying enzymes and the interplay between the chromatin marks that they deposit in germ cells has been facilitated by analyses of conventional or germline-specific knockout mice, combined with low-input genome-wide profiling methods that have been developed in recent years. While clearly informative, these findings generally reflect "snapshots" of chromatin states derived from analyses of cells analyzed in bulk at a specific period in development. Technological advances and novel experimental models will be required to further refine our understanding of the underlying mechanism and order of establishment of chromatin marks and the impact of sexually dimorphic epigenetic patterning on transcription and other nuclear processes in germ cells, the early embryo and beyond.
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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".