Spatiotemporal DNA Methylome Dynamics of the Developing Mammalian Fetus

Genetic studies have revealed an essential role for cytosine DNA methylation in mammalian development. However, its spatiotemporal distribution in the developing embryo remains obscure. Here, we profiled the methylome landscapes of 12 mouse tissues/organs at 8 developmental stages spanning from early embryogenesis to birth. Indepth analysis of these spatiotemporal epigenome maps systematically delineated ~2 million methylation variant regions and uncovered widespread methylation dynamics at nearly one-half million tissue-specific enhancers, whose human counterparts were enriched for variants involved in genetic diseases. Strikingly, these predicted regulatory elements predominantly lose CG methylation during fetal development, whereas the trend is reversed after birth. Accumulation of non-CG methylation within gene bodies of key developmental transcription factors coincided with their transcriptional repression during later stages of fetal development. These spatiotemporal epigenomic maps provide a valuable resource for studying gene regulation during mammalian tissue/organ progression and for pinpointing regulatory elements involved in human developmental diseases.

[1]  S. Horvath,et al.  Statistical Applications in Genetics and Molecular Biology , 2011 .

[2]  S. Beck,et al.  From profiles to function in epigenomics , 2016, Nature Reviews Genetics.

[3]  D. Schübeler,et al.  Impact of cytosine methylation on DNA binding specificities of human transcription factors , 2017, Science.

[4]  J. Wysocka,et al.  Modification of enhancer chromatin: what, how, and why? , 2013, Molecular cell.

[5]  Matthew D. Schultz,et al.  Human Body Epigenome Maps Reveal Noncanonical DNA Methylation Variation , 2015, Nature.

[6]  W. Liu,et al.  Relationships between Hematopoiesis and Hepatogenesis in the Midtrimester Fetal Liver Characterized by Dynamic Transcriptomic and Proteomic Profiles , 2009, PloS one.

[7]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[8]  David A. Orlando,et al.  Selective Inhibition of Tumor Oncogenes by Disruption of Super-Enhancers , 2013, Cell.

[9]  Hao Wu,et al.  MacroH2A1 associates with nuclear lamina and maintains chromatin architecture in mouse liver cells , 2015, Scientific Reports.

[10]  S. Rybtsov,et al.  Embryonic origin of the adult hematopoietic system: advances and questions , 2011, Development.

[11]  K. Pollard,et al.  Detection of nonneutral substitution rates on mammalian phylogenies. , 2010, Genome research.

[12]  D W Smith,et al.  Recognizable patterns of human malformation. , 1976, Major problems in clinical pediatrics.

[13]  Matthew D. Schultz,et al.  'Leveling' the playing field for analyses of single-base resolution DNA methylomes. , 2012, Trends in genetics : TIG.

[14]  Timothy E. Reddy,et al.  Dynamic DNA methylation across diverse human cell lines and tissues , 2013, Genome research.

[15]  G. Hon,et al.  Base-Resolution Analysis of 5-Hydroxymethylcytosine in the Mammalian Genome , 2012, Cell.

[16]  A. Gnirke,et al.  Charting a dynamic DNA methylation landscape of the human genome , 2013, Nature.

[17]  Lee E. Edsall,et al.  Distinct epigenomic landscapes of pluripotent and lineage-committed human cells. , 2010, Cell stem cell.

[18]  D. Patel A Structural Perspective on Readout of Epigenetic Histone and DNA Methylation Marks. , 2016, Cold Spring Harbor perspectives in biology.

[19]  Steve Horvath,et al.  WGCNA: an R package for weighted correlation network analysis , 2008, BMC Bioinformatics.

[20]  Cory Y. McLean,et al.  GREAT improves functional interpretation of cis-regulatory regions , 2010, Nature Biotechnology.

[21]  Clifford A. Meyer,et al.  Model-based Analysis of ChIP-Seq (MACS) , 2008, Genome Biology.

[22]  Fidel Ramírez,et al.  deepTools2: a next generation web server for deep-sequencing data analysis , 2016, Nucleic Acids Res..

[23]  Wei Li,et al.  MeCP2 binds to non-CG methylated DNA as neurons mature, influencing transcription and the timing of onset for Rett syndrome , 2015, Proceedings of the National Academy of Sciences.

[24]  Peggy Hall,et al.  The NHGRI GWAS Catalog, a curated resource of SNP-trait associations , 2013, Nucleic Acids Res..

[25]  Mathew G. Lewsey,et al.  Cistrome and Epicistrome Features Shape the Regulatory DNA Landscape , 2016, Cell.

[26]  Inna Dubchak,et al.  VISTA Enhancer Browser—a database of tissue-specific human enhancers , 2006, Nucleic Acids Res..

[27]  Tom H. Pringle,et al.  The human genome browser at UCSC. , 2002, Genome research.

[28]  A. Visel,et al.  Rapid and Pervasive Changes in Genome-wide Enhancer Usage during Mammalian Development , 2013, Cell.

[29]  Aaron R. Quinlan,et al.  BIOINFORMATICS APPLICATIONS NOTE , 2022 .

[30]  Bronwen L. Aken,et al.  GENCODE: The reference human genome annotation for The ENCODE Project , 2012, Genome research.

[31]  Shane J. Neph,et al.  A comparative encyclopedia of DNA elements in the mouse genome , 2014, Nature.

[32]  Terrence J. Sejnowski,et al.  Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain , 2015, Neuron.

[33]  Aviv Regev,et al.  DNA methylation dynamics of the human preimplantation embryo , 2014, Nature.

[34]  P. Rousseeuw Least Median of Squares Regression , 1984 .

[35]  R. McKay,et al.  CNS stem cells express a new class of intermediate filament protein , 1990, Cell.

[36]  David R. Liu,et al.  Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage , 2016, Nature.

[37]  Avi Ma'ayan,et al.  Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool , 2013, BMC Bioinformatics.

[38]  Jiang Qian,et al.  Transcription factors as readers and effectors of DNA methylation , 2016, Nature Reviews Genetics.

[39]  A. Bird,et al.  MeCP2 recognizes cytosine methylated tri-nucleotide and di-nucleotide sequences to tune transcription in the mammalian brain , 2017, PLoS genetics.

[40]  Wei Li,et al.  Programming and Inheritance of Parental DNA Methylomes in Mammals , 2014, Cell.

[41]  Fidencio J. Neri,et al.  Mouse regulatory DNA landscapes reveal global principles of cis-regulatory evolution , 2014, Science.

[42]  Julie A. Law,et al.  Establishing, maintaining and modifying DNA methylation patterns in plants and animals , 2010, Nature Reviews Genetics.

[43]  Matthew D. Schultz,et al.  Global Epigenomic Reconfiguration During Mammalian Brain Development , 2013, Science.

[44]  Brian J. Stevenson,et al.  Global DNA hypomethylation coupled to repressive chromatin domain formation and gene silencing in breast cancer. , 2012, Genome research.

[45]  P. Laird,et al.  Regions of focal DNA hypermethylation and long-range hypomethylation in colorectal cancer coincide with nuclear lamina–associated domains , 2011, Nature Genetics.

[46]  Thomas R. Gingeras,et al.  STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..

[47]  William Stafford Noble,et al.  FIMO: scanning for occurrences of a given motif , 2011, Bioinform..

[48]  Anaïs F. Bardet,et al.  Competition between DNA methylation and transcription factors determines binding of NRF1 , 2015, Nature.

[49]  C. Ponting,et al.  Single-Cell Multiomics: Multiple Measurements from Single Cells , 2017, Trends in genetics : TIG.

[50]  Wendy P Robinson,et al.  The human placenta methylome , 2013, Proceedings of the National Academy of Sciences.

[51]  J. Qian,et al.  Methylated cis-regulatory elements mediate KLF4-dependent gene transactivation and cell migration , 2017, eLife.

[52]  Jonathan E. Allen,et al.  Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments , 2007, Genome Biology.

[53]  Nancy Wilkins-Diehr,et al.  XSEDE: Accelerating Scientific Discovery , 2014, Computing in Science & Engineering.

[54]  R. Young,et al.  Super-Enhancers in the Control of Cell Identity and Disease , 2013, Cell.

[55]  Harrison W. Gabel,et al.  Disruption of DNA methylation-dependent long gene repression in Rett syndrome , 2015, Nature.

[56]  J. Eeckhoute,et al.  Pioneer factors: directing transcriptional regulators within the chromatin environment. , 2011, Trends in genetics : TIG.

[57]  Matthew D. Schultz,et al.  Abnormalities in human pluripotent cells due to reprogramming mechanisms , 2014, Nature.

[58]  Mahendra Rao,et al.  SOX2, a Persistent Marker for Multipotential Neural Stem Cells Derived from Embryonic Stem Cells, the Embryo or the Adult , 2004, Developmental Neuroscience.

[59]  J. Qian,et al.  DNA methylation presents distinct binding sites for human transcription factors , 2013, eLife.

[60]  David A. Orlando,et al.  Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes , 2013, Cell.

[61]  D. Patel,et al.  Readout of epigenetic modifications. , 2013, Annual review of biochemistry.

[62]  C. Shaw,et al.  Correction for Chen et al., MeCP2 binds to non-CG methylated DNA as neurons mature, influencing transcription and the timing of onset for Rett syndrome , 2015, Proceedings of the National Academy of Sciences.

[63]  J. Ecker,et al.  Non-CG Methylation in the Human Genome. , 2015, Annual review of genomics and human genetics.

[64]  Tjerk P. Straatsma,et al.  NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations , 2010, Comput. Phys. Commun..

[65]  B. Ren,et al.  Base-Resolution Analyses of Sequence and Parent-of-Origin Dependent DNA Methylation in the Mouse Genome , 2012, Cell.

[66]  F. Tang,et al.  The DNA methylation landscape of human early embryos , 2014, Nature.

[67]  Tatsunori B. Hashimoto,et al.  Discovery of non-directional and directional pioneer transcription factors by modeling DNase profile magnitude and shape , 2014, Nature Biotechnology.

[68]  David R. Liu,et al.  The Behaviour of 5-Hydroxymethylcytosine in Bisulfite Sequencing , 2010, PloS one.

[69]  C. Feschotte,et al.  Regulatory activities of transposable elements: from conflicts to benefits , 2016, Nature Reviews Genetics.

[70]  Guoping Fan,et al.  Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain , 2013, Nature Neuroscience.

[71]  A. Nepveu,et al.  Role of the multifunctional CDP/Cut/Cux homeodomain transcription factor in regulating differentiation, cell growth and development. , 2001, Gene.

[72]  M. Azim Surani,et al.  A Unique Gene Regulatory Network Resets the Human Germline Epigenome for Development , 2015, Cell.

[73]  Hui Liu,et al.  AnimalTFDB: a comprehensive animal transcription factor database , 2011, Nucleic Acids Res..

[74]  Richard Durbin,et al.  Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .

[75]  R. Mann,et al.  Quantitative Analysis of the DNA Methylation Sensitivity of Transcription Factor Complexes. , 2017, Cell reports.

[76]  D. Dickel,et al.  Improved regulatory element prediction based on tissue-specific local epigenomic signatures , 2017, Proceedings of the National Academy of Sciences.

[77]  Andrew D. Rouillard,et al.  Enrichr: a comprehensive gene set enrichment analysis web server 2016 update , 2016, Nucleic Acids Res..

[78]  Michael Q. Zhang,et al.  Epigenomic Analysis of Multilineage Differentiation of Human Embryonic Stem Cells , 2013, Cell.

[79]  I. Korf,et al.  Large-scale methylation domains mark a functional subset of neuronally expressed genes. , 2011, Genome research.

[80]  A. Bird DNA methylation patterns and epigenetic memory. , 2002, Genes & development.

[81]  Joseph R Ecker,et al.  Cerebral Organoids Recapitulate Epigenomic Signatures of the Human Fetal Brain. , 2016, Cell reports.

[82]  Nathaniel D. Heintzman,et al.  Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome , 2007, Nature Genetics.

[83]  Colin N. Dewey,et al.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome , 2011, BMC Bioinformatics.

[84]  Oliver Bembom,et al.  Sequence logos for DNA sequence alignments , 2016 .

[85]  Robert J. Schmitz,et al.  MethylC-seq library preparation for base-resolution whole-genome bisulfite sequencing , 2015, Nature Protocols.

[86]  Yi Zhang,et al.  TET-mediated active DNA demethylation: mechanism, function and beyond , 2017, Nature Reviews Genetics.

[87]  Nathaniel D. Heintzman,et al.  Histone modifications at human enhancers reflect global cell-type-specific gene expression , 2009, Nature.

[88]  G. Hon,et al.  Adult tissue methylomes harbor epigenetic memory at embryonic enhancers , 2013, Nature Genetics.

[89]  Lee E. Edsall,et al.  Human DNA methylomes at base resolution show widespread epigenomic differences , 2009, Nature.

[90]  Ichiro Hiratani,et al.  ReplicationDomain: a visualization tool and comparative database for genome-wide replication timing data , 2008, BMC Bioinformatics.

[91]  C. Svendsen,et al.  Neurons from stem cells: preventing an identity crisis , 2001, Nature Reviews Neuroscience.

[92]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .