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Parasyraki E, Mallick M, Hatch V, Vastolo V, Musheev MU, Karaulanov E, Gopanenko A, Moxon S, Méndez-Lago M, Han D, Schomacher L, Mukherjee D, Niehrs C. 5-Formylcytosine is an activating epigenetic mark for RNA Pol III during zygotic reprogramming. Cell 2024; 187:6088-6103.e18. [PMID: 39214079 DOI: 10.1016/j.cell.2024.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 04/15/2024] [Accepted: 08/07/2024] [Indexed: 09/04/2024]
Abstract
5-Methylcytosine (5mC) is an established epigenetic mark in vertebrate genomic DNA, but whether its oxidation intermediates formed during TET-mediated DNA demethylation possess an instructive role of their own that is also physiologically relevant remains unresolved. Here, we reveal a 5-formylcytosine (5fC) nuclear chromocenter, which transiently forms during zygotic genome activation (ZGA) in Xenopus and mouse embryos. We identify this chromocenter as the perinucleolar compartment, a structure associated with RNA Pol III transcription. In Xenopus embryos, 5fC is highly enriched on Pol III target genes activated at ZGA, notably at oocyte-type tandem arrayed tRNA genes. By manipulating Tet and Tdg enzymes, we show that 5fC is required as a regulatory mark to promote Pol III recruitment as well as tRNA expression. Concordantly, 5fC modification of a tRNA transgene enhances its expression in vivo. The results establish 5fC as an activating epigenetic mark during zygotic reprogramming of Pol III gene expression.
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Affiliation(s)
| | | | - Victoria Hatch
- Institute of Molecular Biology (IMB), Mainz 55128, Germany
| | | | | | | | | | - Simon Moxon
- School of Biological Sciences, University of East Anglia, Norwich NR4 7TU, UK
| | | | - Dandan Han
- Institute of Molecular Biology (IMB), Mainz 55128, Germany
| | | | | | - Christof Niehrs
- Institute of Molecular Biology (IMB), Mainz 55128, Germany; Division of Molecular Embryology, DKFZ-ZMBH Alliance, Heidelberg 69120, Germany.
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2
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Wang T, Peng J, Fan J, Tang N, Hua R, Zhou X, Wang Z, Wang L, Bai Y, Quan X, Wang Z, Zhang L, Luo C, Zhang W, Kang X, Liu J, Li L, Li L. Single-cell multi-omics profiling of human preimplantation embryos identifies cytoskeletal defects during embryonic arrest. Nat Cell Biol 2024; 26:263-277. [PMID: 38238450 DOI: 10.1038/s41556-023-01328-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 12/01/2023] [Indexed: 02/16/2024]
Abstract
Human in vitro fertilized embryos exhibit low developmental capabilities, and the mechanisms that underlie embryonic arrest remain unclear. Here using a single-cell multi-omics sequencing approach, we simultaneously analysed alterations in the transcriptome, chromatin accessibility and the DNA methylome in human embryonic arrest due to unexplained reasons. Arrested embryos displayed transcriptome disorders, including a distorted microtubule cytoskeleton, increased genomic instability and impaired glycolysis, which were coordinated with multiple epigenetic reprogramming defects. We identified Aurora A kinase (AURKA) repression as a cause of embryonic arrest. Mechanistically, arrested embryos induced through AURKA inhibition resembled the reprogramming abnormalities of natural embryonic arrest in terms of the transcriptome, the DNA methylome, chromatin accessibility and H3K4me3 modifications. Mitosis-independent sequential activation of the zygotic genome in arrested embryos showed that YY1 contributed to human major zygotic genome activation. Collectively, our study decodes the reprogramming abnormalities and mechanisms of human embryonic arrest and the key regulators of zygotic genome activation.
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Affiliation(s)
- Teng Wang
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, P. R. China
| | - Junhua Peng
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, P. R. China
| | - Jiaqi Fan
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, P. R. China
| | - Ni Tang
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
| | - Rui Hua
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, P. R. China
| | - Xueliang Zhou
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
| | - Zhihao Wang
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, P. R. China
| | - Longfei Wang
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, P. R. China
| | - Yanling Bai
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
| | - Xiaowan Quan
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, P. R. China
| | - Zimeng Wang
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, P. R. China
| | - Li Zhang
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, P. R. China
| | - Chen Luo
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, P. R. China
| | - Weiqing Zhang
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, P. R. China
| | - Xiangjin Kang
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
| | - Jianqiao Liu
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
- Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China
| | - Lei Li
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
- Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
- Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
- Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
| | - Lin Li
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, P. R. China.
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3
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Wu D, Huang K, Shi J, Liu S, Wang W, Jiang J, Ren H, Chen T, Ye S, Chen J, Wei W, Li X. Genome-Wide 5-Formylcytosine Redistribution in KCl-Stimulated Mouse Primary Cortical Neurons is Associated with Neuronal Activity. ACS Chem Neurosci 2023; 14:4352-4362. [PMID: 38019771 DOI: 10.1021/acschemneuro.3c00554] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
Abstract
An abundant accumulation of DNA demethylation intermediates has been identified in mammalian neurons. While the roles of 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) in neuronal function have been extensively studied, little is known about 5-formylcytosine (5fC) in neurons. Therefore, this study was to investigate the genome-wide distribution and potential functions of 5fC in neurons. In an in vitro culture model of mouse primary cortical neurons, we observed a dynamic increase in the total 5fC level in the neuronal genome after potassium chloride (KCl) stimulation. Subsequently, we employed chemical-labeling-enabled C-to-T conversion sequencing (CLEVER-seq) to examine the 5fC distribution at a single-base resolution. Bioinformatic analysis revealed that 5fC was enriched in promoter regions, and gene ontology (GO) analysis indicated that the differential formylation positions (DFP) were correlated with neuronal activities. Additionally, integration with previously published nascent RNA-seq data revealed a positive correlation between gene formylation and mRNA expression levels. As well, 6 neuro-activity-related genes with a positive correlation were validated. Furthermore, we observed higher chromatin accessibility and RNA pol II binding signals near the 5fC sites through multiomics analysis. Motif analysis identified potential reader proteins for 5fC. In conclusion, our work provides a valuable resource for studying the dynamic changes and functional roles of 5fC in activated mammalian neurons.
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Affiliation(s)
- Du Wu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Kaixin Huang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Jichun Shi
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Sha Liu
- Department of General Practice, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Wenjing Wang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Jiazhi Jiang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Haobin Ren
- Cognitive Neuroepigenetics Laboratory, Queensland Brain Institute, The University of Queensland, Brisbane 4702, Australia
| | - Tongyu Chen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Shengda Ye
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Jincao Chen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Wei Wei
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Xiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
- Frontier Science Center for Immunology and Metabolism, Wuhan University, 430071 Wuhan, China
- Medical Research Institute, Wuhan University, 430071 Wuhan, China
- Sino-Italian Ascula Brain Science Joint Laboratory, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
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4
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Fischer V, Kretschmer M, Germain PL, Kaur J, Mompart-Barrenechea S, Pelczar P, Schürmann D, Schär P, Gapp K. Sperm chromatin accessibility's involvement in the intergenerational effects of stress hormone receptor activation. Transl Psychiatry 2023; 13:378. [PMID: 38065942 PMCID: PMC10709351 DOI: 10.1038/s41398-023-02684-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/22/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
Dexamethasone is a stress hormone receptor agonist used widely in clinics. We and others previously showed that paternal administration of dexamethasone in mice affects the phenotype of their offspring. The substrate of intergenerational transmission of environmentally induced effects often involves changes in sperm RNA, yet other epigenetic modifications in the germline can be affected and are also plausible candidates. First, we tested the involvement of altered sperm RNAs in the transmission of dexamethasone induced phenotypes across generations. We did this by injecting sperm RNA into naïve fertilized oocytes, before performing metabolic and behavioral phenotyping of the offspring. We observed phenotypic changes in discordance with those found in offspring generated by in vitro fertilization using sperm from dexamethasone exposed males. Second, we investigated the effect of dexamethasone on chromatin accessibility using ATAC sequencing and found significant changes at specific genomic features and gene regulatory loci. Employing q-RT-PCR, we show altered expression of a gene in the tissue of offspring affected by accessibility changes in sperm. Third, we establish a correlation between specific DNA modifications and stress hormone receptor activity as a likely contributing factor influencing sperm accessibility. Finally, we independently investigated this dependency by genetically reducing thymine-DNA glycosylase levels and observing concomitant changes at the level of chromatin accessibility and stress hormone receptor activity.
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Affiliation(s)
- Vincent Fischer
- Laboratory of Epigenetics and Neuroendocrinology, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, ETH Zürich and University of Zürich, Zürich, Switzerland
| | - Miriam Kretschmer
- Laboratory of Epigenetics and Neuroendocrinology, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, ETH Zürich and University of Zürich, Zürich, Switzerland
| | - Pierre-Luc Germain
- Laboratory of Epigenetics and Neuroendocrinology, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Science and Technology, Zürich, Switzerland
- Computational Neurogenomics, Institute for Neuroscience, Department of Health Science and Technology, Zürich, Switzerland
- Laboratory of Statistical Bioinformatics, University of Zürich, Zürich, Switzerland
| | - Jasmine Kaur
- Laboratory of Epigenetics and Neuroendocrinology, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Sergio Mompart-Barrenechea
- Laboratory of Epigenetics and Neuroendocrinology, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Pawel Pelczar
- Center for Transgenic Models, University of Basel, Basel, Switzerland
| | - David Schürmann
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Primo Schär
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Katharina Gapp
- Laboratory of Epigenetics and Neuroendocrinology, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
- Neuroscience Center Zurich, ETH Zürich and University of Zürich, Zürich, Switzerland.
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5
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Ju LF, Xu HJ, Yang YG, Yang Y. Omics Views of Mechanisms for Cell Fate Determination in Early Mammalian Development. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:950-961. [PMID: 37075831 PMCID: PMC10928378 DOI: 10.1016/j.gpb.2023.03.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 03/18/2023] [Accepted: 03/23/2023] [Indexed: 04/21/2023]
Abstract
During mammalian preimplantation development, a totipotent zygote undergoes several cell cleavages and two rounds of cell fate determination, ultimately forming a mature blastocyst. Along with compaction, the establishment of apicobasal cell polarity breaks the symmetry of an embryo and guides subsequent cell fate choice. Although the lineage segregation of the inner cell mass (ICM) and trophectoderm (TE) is the first symbol of cell differentiation, several molecules have been shown to bias the early cell fate through their inter-cellular variations at much earlier stages, including the 2- and 4-cell stages. The underlying mechanisms of early cell fate determination have long been an important research topic. In this review, we summarize the molecular events that occur during early embryogenesis, as well as the current understanding of their regulatory roles in cell fate decisions. Moreover, as powerful tools for early embryogenesis research, single-cell omics techniques have been applied to both mouse and human preimplantation embryos and have contributed to the discovery of cell fate regulators. Here, we summarize their applications in the research of preimplantation embryos, and provide new insights and perspectives on cell fate regulation.
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Affiliation(s)
- Lin-Fang Ju
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China; University of Chinese Academy of Sciences, Beijing 100049, China; CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Heng-Ji Xu
- University of Chinese Academy of Sciences, Beijing 100049, China; CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Yun-Gui Yang
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China; University of Chinese Academy of Sciences, Beijing 100049, China; CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; Institute of Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China.
| | - Ying Yang
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China; University of Chinese Academy of Sciences, Beijing 100049, China; CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; Institute of Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China.
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6
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Beknazarov N, Poptsova M. DeepZ: A Deep Learning Approach for Z-DNA Prediction. Methods Mol Biol 2023; 2651:217-226. [PMID: 36892770 DOI: 10.1007/978-1-0716-3084-6_15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
Here we describe an approach that uses deep learning neural networks such as CNN and RNN to aggregate information from DNA sequence; physical, chemical, and structural properties of nucleotides; and omics data on histone modifications, methylation, chromatin accessibility, and transcription factor binding sites and data from other available NGS experiments. We explain how with the trained model one can perform whole-genome annotation of Z-DNA regions and feature importance analysis in order to define key determinants for functional Z-DNA regions.
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Affiliation(s)
- Nazar Beknazarov
- Laboratory of Bioinformatics, Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia
| | - Maria Poptsova
- Laboratory of Bioinformatics, Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia.
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7
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Liu Q, Chen X, Qiao J. Advances in studying human gametogenesis and embryonic development in China. Biol Reprod 2022; 107:12-26. [PMID: 35788258 DOI: 10.1093/biolre/ioac134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 05/21/2022] [Accepted: 06/20/2022] [Indexed: 11/12/2022] Open
Abstract
Reproductive medicine in China has developed rapidly since 1988 due to the support from the government and scientific exploration. However, the success rate of assisted reproduction technology (ART) is around 30-40% and many unknown "black boxes" in gametogenesis and embryo development are still present. With the development of single-cell and low-input sequencing technologies, the network of transcriptome and epigenetic regulation (DNA methylation, chromatin accessibility, and histone modifications) during the development of human primordial germ cells (PGCs), gametes and embryos has been investigated in depth. Furthermore, pre-implantation genetic testing (PGT) has also rapidly developed. In this review, we summarize and analyze China's outstanding progress in these fields.
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Affiliation(s)
- Qiang Liu
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
| | - Xi Chen
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
| | - Jie Qiao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China.,Beijing Advanced Innovation Center for Genomics, Beijing, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.,Research Units of Comprehensive Diagnosis and Treatment of Oocyte Maturation Arrest, Chinese Academy of Medical Sciences, Beijing, China
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8
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Arand J, Reijo Pera RA, Wossidlo M. Reprogramming of DNA methylation is linked to successful human preimplantation development. Histochem Cell Biol 2021; 156:197-207. [PMID: 34179999 PMCID: PMC8460514 DOI: 10.1007/s00418-021-02008-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/17/2021] [Indexed: 12/16/2022]
Abstract
Human preimplantation development is characterized by low developmental rates that are poorly understood. Early mammalian embryogenesis is characterized by a major phase of epigenetic reprogramming, which involves global DNA methylation changes and activity of TET enzymes; the importance of DNA methylation reprogramming for successful human preimplantation development has not been investigated. Here, we analyzed early human embryos for dynamic changes in 5-methylcytosine and its oxidized derivatives generated by TET enzymes. We observed that 5-methylcytosine and 5-hydroxymethylcytosine show similar, albeit less pronounced, asymmetry between the parental pronuclei of human zygotes relative to mouse zygotes. Notably, we detected low levels of 5-formylcytosine and 5-carboxylcytosine, with no apparent difference in maternal or paternal pronuclei of human zygotes. Analysis of later human preimplantation stages revealed a mosaic pattern of DNA 5C modifications similar to those of the mouse and other mammals. Strikingly, using noninvasive time-lapse imaging and well-defined cell cycle parameters, we analyzed normally and abnormally developing human four-cell embryos for global reprogramming of DNA methylation and detected lower 5-methylcytosine and 5-hydroxymethylcytosine levels in normal embryos compared to abnormal embryos. In conclusion, our results suggest that DNA methylation reprogramming is conserved in humans, with human-specific dynamics and extent. Furthermore, abnormalities in the four-cell-specific DNA methylome in early human embryogenesis are associated with abnormal development, highlighting an essential role of epigenetic reprogramming for successful human embryogenesis. Further research should identify the underlying genomic regions and cause of abnormal DNA methylation reprogramming in early human embryos.
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Affiliation(s)
- Julia Arand
- Department of Cell and Developmental Biology, Center of Anatomy and Cell Biology, Medical University of Vienna, 1090, Vienna, Austria.,Department of Genetics, Stanford University, Stanford, CA, 94305, USA.,Department of Pediatrics, Stanford University, Stanford, CA, 94305, USA
| | - Renee A Reijo Pera
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA.,Department of Obstetrics and Gynecology, Stanford University, Stanford, CA, 94305, USA.,Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, 94305, USA.,McLaughlin Research Institute, Great Falls, MT, 59405, USA
| | - Mark Wossidlo
- Department of Cell and Developmental Biology, Center of Anatomy and Cell Biology, Medical University of Vienna, 1090, Vienna, Austria. .,Department of Genetics, Stanford University, Stanford, CA, 94305, USA. .,Department of Obstetrics and Gynecology, Stanford University, Stanford, CA, 94305, USA. .,Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, 94305, USA.
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9
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Beknazarov N, Jin S, Poptsova M. Deep learning approach for predicting functional Z-DNA regions using omics data. Sci Rep 2020; 10:19134. [PMID: 33154517 PMCID: PMC7644757 DOI: 10.1038/s41598-020-76203-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 10/20/2020] [Indexed: 12/18/2022] Open
Abstract
Computational methods to predict Z-DNA regions are in high demand to understand the functional role of Z-DNA. The previous state-of-the-art method Z-Hunt is based on statistical mechanical and energy considerations about B- to Z-DNA transition using sequence information. Z-DNA CHiP-seq experiment results showed little overlap with Z-Hunt predictions implying that sequence information only is not sufficient to explain emergence of Z-DNA at different genomic locations. Adding epigenetic and other functional genomic mark-ups to DNA sequence level can help revealing the functional Z-DNA sites. Here we take advantage of the deep learning approach that can analyze and extract information from large volumes of molecular biology data. We developed a machine learning approach DeepZ that aggregates information from genome-wide maps of epigenetic markers, transcription factor and RNA polymerase binding sites, and chromosome accessibility maps. With the developed model we not only verify the experimental Z-DNA predictions, but also generate the whole-genome annotation, introducing new possible Z-DNA regions, which have not yet been found in experiments and can be of interest to the researchers from various fields.
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Affiliation(s)
- Nazar Beknazarov
- Laboratory of Bioinformatics, Faculty of Computer Science, National Research University Higher School of Economics, 11 Pokrovsky boulvar, Moscow, Russia, 101000
| | - Seungmin Jin
- Laboratory of Bioinformatics, Faculty of Computer Science, National Research University Higher School of Economics, 11 Pokrovsky boulvar, Moscow, Russia, 101000
| | - Maria Poptsova
- Laboratory of Bioinformatics, Faculty of Computer Science, National Research University Higher School of Economics, 11 Pokrovsky boulvar, Moscow, Russia, 101000.
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