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Published July 30, 2020 | Supplemental Material + Submitted + Published
Journal Article Open

Spatiotemporal DNA methylome dynamics of the developing mouse fetus

Abstract

Cytosine DNA methylation is essential for mammalian development but understanding of its spatiotemporal distribution in the developing embryo remains limited. Here, as part of the mouse Encyclopedia of DNA Elements (ENCODE) project, we profiled 168 methylomes from 12 mouse tissues or organs at 9 developmental stages from embryogenesis to adulthood. We identified 1,808,810 genomic regions that showed variations in CG methylation by comparing the methylomes of different tissues or organs from different developmental stages. These DNA elements predominantly lose CG methylation during fetal development, whereas the trend is reversed after birth. During late stages of fetal development, non-CG methylation accumulated within the bodies of key developmental transcription factor genes, coinciding with their transcriptional repression. Integration of genome-wide DNA methylation, histone modification and chromatin accessibility data enabled us to predict 461,141 putative developmental tissue-specific enhancers, the human orthologues of which were enriched for disease-associated genetic variants. These spatiotemporal epigenome maps provide a resource for studies of gene regulation during tissue or organ progression, and a starting point for investigating regulatory elements that are involved in human developmental disorders.

Additional Information

© 2020 the Author(s). This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. Received 09 August 2017; Accepted 11 June 2019; Published 29 July 2020. We thank J. Li, S. C. Huang, E. A. Mukamel and L. Song for critical comments. D.U.G. is supported by the A.P. Giannini Foundation and NIH IRACDA K12 GM068524. A.V. and L.A.P. were supported by National Institutes of Health grant U54HG006997, and the research conducted at the E. O. Lawrence Berkeley National Laboratory was performed under Department of Energy Contract DE-AC02-05CH11231, University of California. J.R.E. is an Investigator of the Howard Hughes Medical Institute. Use of the Extreme Science and Engineering Discovery Environment (XSEDE) was supported by National Science Foundation grant number ACI-1548562. This work was supported by the National Institutes of Health ENCODE Project (U54 HG006997). The data that support these findings are publicly accessible at https://www.encodeproject.org/ and http://neomorph.salk.edu/ENCODE_mouse_fetal_development.html. Additional RNA-seq data sets are available at the NCBI Gene Expression Omnibus (accession GSE100685). Further details describing the data used in this study can be found in Supplementary Tables 1 and 2. Author Contributions: Y.H., M.H., Y.Z., R.F., H.C. and B.L. performed data analysis. Y.H. and M.H. wrote the manuscript. Y.H., M.H., C.L. and J.R.E. edited the manuscript. D.E.D., A.V. and the L.A.P. group collected the tissues from mouse embryo for epigenome and transcriptome profiling. D.U.G., A.Y.L. and B.R. generated the histone modification data. Y.Z., H.H. and B.R. generated the ATAC–seq data. B.A.W., D.T. and H.A. generated RNA-seq data. J.R.N. and R.G.C. generated the WGBS data and the validation set of RNA-seq data. J.R.E. supervised the project. Competing interests: B.R. is a co-founder and shareholder of Arima Genomics, Inc. The other authors declare no competing interests.

Attached Files

Published - s41586-020-2119-x.pdf

Submitted - 166744.1.full.pdf

Supplemental Material - 41586_2020_2119_Fig10_ESM.webp

Supplemental Material - 41586_2020_2119_Fig11_ESM.webp

Supplemental Material - 41586_2020_2119_Fig12_ESM.webp

Supplemental Material - 41586_2020_2119_Fig13_ESM.webp

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Supplemental Material - 41586_2020_2119_Fig7_ESM.webp

Supplemental Material - 41586_2020_2119_Fig8_ESM.webp

Supplemental Material - 41586_2020_2119_Fig9_ESM.webp

Supplemental Material - 41586_2020_2119_MOESM1_ESM.pdf

Supplemental Material - 41586_2020_2119_MOESM2_ESM.pdf

Supplemental Material - 41586_2020_2119_MOESM3_ESM.pdf

Supplemental Material - 41586_2020_2119_MOESM4_ESM.pdf

Supplemental Material - 41586_2020_2119_MOESM5_ESM.zip

Supplemental Material - Tables_1-12.zip

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023