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A DNA methylation state transition model reveals the programmed epigenetic heterogeneity in human pre-implantation embryos

BACKGROUND: 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. RESULTS: Here, we present MethylTransition, a novel DNA methylation state transit...

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Detalles Bibliográficos
Autores principales: Zhao, Chengchen, Zhang, Naiqian, Zhang, Yalin, Tuersunjiang, Nuermaimaiti, Gao, Shaorong, Liu, Wenqiang, Zhang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7667739/
https://www.ncbi.nlm.nih.gov/pubmed/33198783
http://dx.doi.org/10.1186/s13059-020-02189-8
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author Zhao, Chengchen
Zhang, Naiqian
Zhang, Yalin
Tuersunjiang, Nuermaimaiti
Gao, Shaorong
Liu, Wenqiang
Zhang, Yong
author_facet Zhao, Chengchen
Zhang, Naiqian
Zhang, Yalin
Tuersunjiang, Nuermaimaiti
Gao, Shaorong
Liu, Wenqiang
Zhang, Yong
author_sort Zhao, Chengchen
collection PubMed
description BACKGROUND: 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. RESULTS: Here, 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. CONCLUSIONS: Our 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. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s13059-020-02189-8.
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spelling pubmed-76677392020-11-17 A DNA methylation state transition model reveals the programmed epigenetic heterogeneity in human pre-implantation embryos Zhao, Chengchen Zhang, Naiqian Zhang, Yalin Tuersunjiang, Nuermaimaiti Gao, Shaorong Liu, Wenqiang Zhang, Yong Genome Biol Research BACKGROUND: 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. RESULTS: Here, 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. CONCLUSIONS: Our 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. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s13059-020-02189-8. BioMed Central 2020-11-16 /pmc/articles/PMC7667739/ /pubmed/33198783 http://dx.doi.org/10.1186/s13059-020-02189-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhao, Chengchen
Zhang, Naiqian
Zhang, Yalin
Tuersunjiang, Nuermaimaiti
Gao, Shaorong
Liu, Wenqiang
Zhang, Yong
A DNA methylation state transition model reveals the programmed epigenetic heterogeneity in human pre-implantation embryos
title A DNA methylation state transition model reveals the programmed epigenetic heterogeneity in human pre-implantation embryos
title_full A DNA methylation state transition model reveals the programmed epigenetic heterogeneity in human pre-implantation embryos
title_fullStr A DNA methylation state transition model reveals the programmed epigenetic heterogeneity in human pre-implantation embryos
title_full_unstemmed A DNA methylation state transition model reveals the programmed epigenetic heterogeneity in human pre-implantation embryos
title_short A DNA methylation state transition model reveals the programmed epigenetic heterogeneity in human pre-implantation embryos
title_sort dna methylation state transition model reveals the programmed epigenetic heterogeneity in human pre-implantation embryos
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7667739/
https://www.ncbi.nlm.nih.gov/pubmed/33198783
http://dx.doi.org/10.1186/s13059-020-02189-8
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