Single-cell multi-omics sequencing of human early embryos

DNA methylation, chromatin states and their interrelationships represent critical epigenetic information, but these are largely unknown in human early embryos. Here, we apply single-cell chromatin overall omic-scale landscape sequencing (scCOOL-seq) to generate a genome-wide map of DNA methylation and chromatin accessibility at single-cell resolution during human preimplantation development. Unlike in mice, the chromatin of the paternal genome is already more open than that of the maternal genome at the mid-zygote stage in humans, and this state is maintained until the 4-cell stage. After fertilization, genes with high variations in DNA methylation, and those with high variations in chromatin accessibility, tend to be two different sets. Furthermore, 1,797 out of 5,155 (35%) widely open chromatin regions in promoters closed when transcription activity was inhibited, indicating a feedback mechanism between transcription and open chromatin maintenance. Our work paves the way for dissecting the complex, yet highly coordinated, epigenetic reprogramming during human preimplantation development.Using scCOOL-seq, Li et al. simultaneously characterize the DNA methylation and chromatin accessibility of the same cell during human preimplantation development.

[1]  Geert Verbeke,et al.  Chromosome instability is common in human cleavage-stage embryos , 2009, Nature Medicine.

[2]  Peter A. Jones,et al.  Reconfiguration of nucleosome-depleted regions at distal regulatory elements accompanies DNA methylation of enhancers and insulators in cancer , 2014, Genome research.

[3]  Vijay K. Tiwari,et al.  DNA-binding factors shape the mouse methylome at distal regulatory regions , 2011, Nature.

[4]  Eutherian mammals use diverse strategies to initiate X-chromosome inactivation during development , 2011, Nature.

[5]  Angelika Amon,et al.  Aneuploidy Affects Proliferation and Spontaneous Immortalization in Mammalian Cells , 2008, Science.

[6]  F. Miura,et al.  Amplification-free whole-genome bisulfite sequencing by post-bisulfite adaptor tagging , 2012, Nucleic acids research.

[7]  Keji Zhao,et al.  Establishing Chromatin Regulatory Landscape during Mouse Preimplantation Development , 2016, Cell.

[8]  Bing Ren,et al.  Broad histone H3K4me3 domains in mouse oocytes modulate maternal-to-zygotic transition , 2016, Nature.

[9]  B. Ren,et al.  Mapping Human Epigenomes , 2013, Cell.

[10]  O. Stegle,et al.  Single-Cell Genome-Wide Bisulfite Sequencing for Assessing Epigenetic Heterogeneity , 2014, Nature Methods.

[11]  K. Niakan,et al.  Human pre-implantation embryo development , 2012, Development.

[12]  P. Park,et al.  Impact of chromatin structure on sequence variability in the human genome , 2011, Nature Structural &Molecular Biology.

[13]  M. Suyama,et al.  Genome-Wide Analysis of DNA Methylation Dynamics during Early Human Development , 2014, PLoS genetics.

[14]  K. Kurimoto,et al.  Epigenetic reprogramming in mouse pre-implantation development and primordial germ cells , 2012, Development.

[15]  Nathan C. Sheffield,et al.  The accessible chromatin landscape of the human genome , 2012, Nature.

[16]  Rickard Sandberg,et al.  Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos , 2016, Cell.

[17]  W. Richard McCombie,et al.  Sperm Methylation Profiles Reveal Features of Epigenetic Inheritance and Evolution in Primates , 2011, Cell.

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

[19]  Y. Zhang,et al.  Allelic reprogramming of the histone modification H3K4me3 in early mammalian development , 2016, Nature.

[20]  Heng Li,et al.  Toward better understanding of artifacts in variant calling from high-coverage samples , 2014, Bioinform..

[21]  Ruiqiang Li,et al.  Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells , 2013, Nature Structural &Molecular Biology.

[22]  J. Qiao,et al.  Serum progesterone concentration on day of HCG administration and IVF outcome. , 2008, Reproductive biomedicine online.

[23]  Gangning Liang,et al.  Polycomb-Repressed Genes Have Permissive Enhancers that Initiate Reprogramming , 2011, Cell.

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

[25]  A. Bashashati,et al.  Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer , 2012, Genome research.

[26]  Rong Li,et al.  Single-cell DNA methylome sequencing of human preimplantation embryos , 2017, Nature Genetics.

[27]  C. Glass,et al.  Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. , 2010, Molecular cell.

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

[29]  Wei Xie,et al.  The landscape of accessible chromatin in mammalian preimplantation embryos , 2016, Nature.

[30]  W. Reik,et al.  Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data , 2017, Genome Biology.

[31]  Gangning Liang,et al.  Genome-wide mapping of nucleosome positioning and DNA methylation within individual DNA molecules , 2012, Genome research.

[32]  Parveen Kumar,et al.  Mouse model of chromosome mosaicism reveals lineage-specific depletion of aneuploid cells and normal developmental potential , 2016, Nature Communications.

[33]  Michael J. Ziller,et al.  Transcription factor binding dynamics during human ESC differentiation , 2015, Nature.

[34]  Peter A. Jones,et al.  The role of DNA methylation in directing the functional organization of the cancer epigenome , 2015, Genome research.

[35]  Xuepeng Wang,et al.  Chromatin analysis in human early development reveals epigenetic transition during ZGA , 2018, Nature.

[36]  Peter A. Jones,et al.  Genome-wide nucleosome occupancy and DNA methylation profiling of four human cell lines , 2014, Genomics data.

[37]  Robert Gentleman,et al.  Using GOstats to test gene lists for GO term association , 2007, Bioinform..

[38]  J. Fulka,et al.  DNA methylation pattern in human zygotes and developing embryos. , 2004, Reproduction.

[39]  Andrew C. Adey,et al.  Highly scalable generation of DNA methylation profiles in single cells , 2018, Nature Biotechnology.

[40]  A. Clark,et al.  Aneuploidy and early human embryo development. , 2008, Human molecular genetics.

[41]  F. Tang,et al.  Single-cell multi-omics sequencing of mouse early embryos and embryonic stem cells , 2017, Cell Research.

[42]  A. Stark,et al.  Transcriptional enhancers: from properties to genome-wide predictions , 2014, Nature Reviews Genetics.

[43]  Alberto Riva,et al.  Multiplex mapping of chromatin accessibility and DNA methylation within targeted single molecules identifies epigenetic heterogeneity in neural stem cells and glioblastoma , 2014, Genome research.

[44]  Lei Gao,et al.  Chromatin Accessibility Landscape in Human Early Embryos and Its Association with Evolution , 2018, Cell.

[45]  Data production leads,et al.  An integrated encyclopedia of DNA elements in the human genome , 2012 .

[46]  F. Tang,et al.  DNA methylation and chromatin accessibility profiling of mouse and human fetal germ cells , 2016, Cell Research.

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

[48]  Sebastian Pott Simultaneous measurement of chromatin accessibility, DNA methylation, and nucleosome phasing in single cells , 2017, bioRxiv.

[49]  Justin A. Fincher,et al.  DNA-Encoded Chromatin Structural Intron Boundary Signals Identify Conserved Genes with Common Function , 2015, International journal of genomics.

[50]  Felix Krueger,et al.  Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications , 2011, Bioinform..

[51]  G. Ast,et al.  Chromatin organization marks exon-intron structure , 2009, Nature Structural &Molecular Biology.

[52]  Mauricio O. Carneiro,et al.  From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline , 2013, Current protocols in bioinformatics.

[53]  Matthew D Dean,et al.  Genomic landscape of human allele-specific DNA methylation , 2012, Proceedings of the National Academy of Sciences.

[54]  Janet Rossant,et al.  Distinct histone modifications in stem cell lines and tissue lineages from the early mouse embryo , 2010, Proceedings of the National Academy of Sciences.

[55]  Lior Pachter,et al.  Sequence Analysis , 2020, Definitions.

[56]  Gonçalo R. Abecasis,et al.  The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..

[57]  Janet Rossant,et al.  New Insights into Early Human Development: Lessons for Stem Cell Derivation and Differentiation. , 2017, Cell stem cell.

[58]  DNA methylation profiles of diverse Brachypodium distachyon align with underlying genetic diversity. , 2016, Genome research.

[59]  Michael B. Stadler,et al.  Identification of active regulatory regions from DNA methylation data , 2013, Nucleic acids research.

[60]  G. Sanguinetti,et al.  scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells , 2018, Nature Communications.

[61]  E. Li Chromatin modification and epigenetic reprogramming in mammalian development , 2002, Nature Reviews Genetics.

[62]  Yong Zhang,et al.  Distinct features of H3K4me3 and H3K27me3 chromatin domains in pre-implantation embryos , 2016, Nature.

[63]  Adam Burton,et al.  Chromatin dynamics in the regulation of cell fate allocation during early embryogenesis , 2014, Nature Reviews Molecular Cell Biology.

[64]  A. Sakurada,et al.  Genome-wide profiling of promoter methylation in human , 2006, Oncogene.