DNA Methylation Heterogeneity Induced by Collaborations Between Enhancers

Area of Science:

• Epigenetics and Developmental Biology
• Computational Biology and Bioinformatics

Background:

• DNA methylation reprogramming is essential for erasing epigenetic memory and establishing pluripotency in mammalian embryos.
• Enzymes regulating methylation and demethylation patterns guide cell differentiation.
• Single-cell whole genome bisulfite sequencing (scBS-seq) enables study of heterogeneous DNA methylation in individual cells.

Purpose of the Study:

• To develop a computational model for studying genome-scale DNA methylation reprogramming dynamics during exit from pluripotency.
• To investigate the single-cell level dynamics of DNA methylation reprogramming in embryonic development.
• To understand the drivers of heterogeneous enhancer methylation in embryonic stem cells.

Main Methods:

• Development of a computational model for enhancer methylation inheritance.
• Simulation of genome-scale DNA methylation reprogramming at the single-cell level.
• Analysis of DNA methylation heterogeneity during embryonic development.

Main Results:

• The computational model successfully reproduced DNA methylation heterogeneity observed in scBS-seq data.
• Model simulations indicate that DNA methylation heterogeneity is an intrinsic property driven by cell division.
• Collaboration between neighboring enhancers is necessary for generating heterogeneous methylation patterns.

Conclusions:

• Cell division, not genome-wide oscillations, is a primary driver of DNA methylation heterogeneity during exit from pluripotency.
• Enhancer collaboration plays a key role in establishing methylation heterogeneity.
• The study provides insights into the mechanisms of epigenetic reprogramming in early mammalian development.