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Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing
DNA methylation is crucial for a wide variety of biological processes, yet no technique suitable for the methylome analysis of DNA methylation at single-cell resolution is available. Here, we describe a methylome analysis technique that enables single-cell and single-base resolution DNA methylation...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847781/ https://www.ncbi.nlm.nih.gov/pubmed/24179143 http://dx.doi.org/10.1101/gr.161679.113 |
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author | Guo, Hongshan Zhu, Ping Wu, Xinglong Li, Xianlong Wen, Lu Tang, Fuchou |
author_facet | Guo, Hongshan Zhu, Ping Wu, Xinglong Li, Xianlong Wen, Lu Tang, Fuchou |
author_sort | Guo, Hongshan |
collection | PubMed |
description | DNA methylation is crucial for a wide variety of biological processes, yet no technique suitable for the methylome analysis of DNA methylation at single-cell resolution is available. Here, we describe a methylome analysis technique that enables single-cell and single-base resolution DNA methylation analysis based on reduced representation bisulfite sequencing (scRRBS). The technique is highly sensitive and can detect the methylation status of up to 1.5 million CpG sites within the genome of an individual mouse embryonic stem cell (mESC). Moreover, we show that the technique can detect the methylation status of individual CpG sites in a haploid sperm cell in a digitized manner as either unmethylated or fully methylated. Furthermore, we show that the demethylation dynamics of maternal and paternal genomes after fertilization can be traced within the individual pronuclei of mouse zygotes. The demethylation process of the genic regions is faster than that of the intergenic regions in both male and female pronuclei. Our method paves the way for the exploration of the dynamic methylome landscapes of individual cells at single-base resolution during physiological processes such as embryonic development, or during pathological processes such as tumorigenesis. |
format | Online Article Text |
id | pubmed-3847781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-38477812014-06-01 Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing Guo, Hongshan Zhu, Ping Wu, Xinglong Li, Xianlong Wen, Lu Tang, Fuchou Genome Res Method DNA methylation is crucial for a wide variety of biological processes, yet no technique suitable for the methylome analysis of DNA methylation at single-cell resolution is available. Here, we describe a methylome analysis technique that enables single-cell and single-base resolution DNA methylation analysis based on reduced representation bisulfite sequencing (scRRBS). The technique is highly sensitive and can detect the methylation status of up to 1.5 million CpG sites within the genome of an individual mouse embryonic stem cell (mESC). Moreover, we show that the technique can detect the methylation status of individual CpG sites in a haploid sperm cell in a digitized manner as either unmethylated or fully methylated. Furthermore, we show that the demethylation dynamics of maternal and paternal genomes after fertilization can be traced within the individual pronuclei of mouse zygotes. The demethylation process of the genic regions is faster than that of the intergenic regions in both male and female pronuclei. Our method paves the way for the exploration of the dynamic methylome landscapes of individual cells at single-base resolution during physiological processes such as embryonic development, or during pathological processes such as tumorigenesis. Cold Spring Harbor Laboratory Press 2013-12 /pmc/articles/PMC3847781/ /pubmed/24179143 http://dx.doi.org/10.1101/gr.161679.113 Text en © 2013 Guo et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported), as described at http://creativecommons.org/licenses/by-nc/3.0/. |
spellingShingle | Method Guo, Hongshan Zhu, Ping Wu, Xinglong Li, Xianlong Wen, Lu Tang, Fuchou Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing |
title | Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing |
title_full | Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing |
title_fullStr | Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing |
title_full_unstemmed | Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing |
title_short | Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing |
title_sort | single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847781/ https://www.ncbi.nlm.nih.gov/pubmed/24179143 http://dx.doi.org/10.1101/gr.161679.113 |
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