bioRxivDevelopmental BiologyPreprint
Polycomb shapes active chromatin and promoter bivalency during ovarian reserve formation and activation
Mengwen HuiD, Yasuhisa MunakataiD, Yu-Han YehiD, Neil HunteriD, Richard M. SchultziD, Satoshi H. NamekawaiD
Abstract
The ovarian reserve, a finite pool of long-lived non-growing oocytes established at birth, determines female reproductive lifespan, yet how these oocytes establish long-term quiescence while retaining the capacity for future growth and embryogenesis remains poorly understood. Here, we define a regulatory logic by which Polycomb repressive complexes shape stage-specific active chromatin remodeling during ovarian reserve formation and early oocyte growth. During ovarian reserve formation, H3K27ac, an active promoter- and enhancer-associated mark, undergoes extensive genome-wide redistribution. A key feature of this transition is CpG island promoter remodeling, in which many loci lose H3K27ac while gaining PRC1-dependent H2AK119ub, a repressive mark. This early reprogramming is followed during oocyte growth by acquisition of PRC2-dependent H3K27me3, de novo establishment of bivalent promoters, and protection of promoter regions from de novo DNA methylation. Oocyte growth is also accompanied by broad gains in both H3K27ac and H3K4me3, an active promoter-associated mark. Analyses of PRC1- and PRC2-deficient oocytes reveal unequal Polycomb contributions: PRC2 broadly constrains H3K27ac, whereas PRC1 more selectively shapes genome-wide H3K27ac redistribution and restricts H3K4me3 accumulation at bivalent promoters. Together, these findings identify staged active chromatin remodeling as an integral feature of perinatal oocyte development and reveal that Polycomb shapes chromatin state transitions as oocytes enter quiescence and become poised for future growth. One-Sentence SummaryPolycomb repressive complexes shape stage-specific active chromatin remodeling to establish quiescence and future promoter states during ovarian reserve formation and early oocyte growth.
- organism: mouse
- assay: ChIP-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: cell type annotation
- research focus: trajectory inference
- approach: statistical model
- Citations
- 0
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