Abstract

BackgroundDuring mammalian early embryogenesis, expression and epigenetic heterogeneity emerge before the first cell fate determination, but the programs causing such determinate heterogeneity are largely unexplored.ResultsHere, we present MethylTransition, a novel DNA methylation state transition model, for characterizing methylation changes during one or a few cell cycles at single-cell resolution. MethylTransition involves the creation of a transition matrix comprising three parameters that represent the probabilities of DNA methylation-modifying activities in order to link the methylation states before and after a cell cycle. We apply MethylTransition to single-cell DNA methylome data from human pre-implantation embryogenesis and elucidate that the DNA methylation heterogeneity that emerges at promoters during this process is largely an intrinsic output of a program with unique probabilities of DNA methylation-modifying activities. Moreover, we experimentally validate the effect of the initial DNA methylation on expression heterogeneity in pre-implantation mouse embryos.ConclusionsOur study reveals the programmed DNA methylation heterogeneity during human pre-implantation embryogenesis through a novel mathematical model and provides valuable clues for identifying the driving factors of the first cell fate determination during this process.

Highlights

  • IntroductionExpression and epigenetic heterogeneity emerge before the first cell fate determination, but the programs causing such determinate heterogeneity are largely unexplored

  • During mammalian early embryogenesis, expression and epigenetic heterogeneity emerge before the first cell fate determination, but the programs causing such determinate heterogeneity are largely unexplored

  • We applied MethylTransition to scBS-seq data during human pre-implantation embryogenesis, and we found that the DNA methylation heterogeneity that emerges is largely determined by the initial DNA methylation state at the zygote stage and by a set of instructions represented by the model parameters

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Summary

Introduction

Expression and epigenetic heterogeneity emerge before the first cell fate determination, but the programs causing such determinate heterogeneity are largely unexplored. During mammalian pre-implantation embryogenesis, gene transcription regulation undergoes dramatic reprogramming [1,2,3], and expression heterogeneity emerges among cells within the same embryo before the first cell fate determination, i.e., the separation between the inner cell mass (ICM) and trophectoderm (TE) [4, 5]. Considering the robustness of early embryogenesis, such expression heterogeneity has been suggested to be the determinate result of a programmed process [10, 11], i.e., a set of cellular instructions. In addition to gene expression levels, DNA methylation levels have been reported to be heterogeneous among cells in pre-implantation embryos [12], likely as a result of a programmed process. It is promising to elucidate the set of instructions causing such epigenetic heterogeneity during early embryogenesis by building a mathematical model

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