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We are currently receiving a large number of applications for data submission, and the review process is taking longer than usual.We sincerely apologize for the delay and kindly ask for your understanding. When submitting an application, we would greatly appreciate it if you could allow sufficient time for the processing.

Following a change to our organizational structure effective April 1, 2026, this division has been renamed from the "Database Center for Life Science, Joint Support-Center for Data Science Research" to the "Database Division for Life Science (DBCLS), BioData Science Initiative (BSI), National Institute of Genetics (NIG)". Where the former name still appears in the guidelines, please read it as the new name.

Research ID

hum0009-v2Release info

This page is a past version (v2). The latest version is v3.
Latest version (v3)

Research title

DNA Methylation Analysis of Early Human Embryos

Research overview

Aims
To generate single-base resolution DNA methylome maps of human gametes and embryos and uncover DNA methylation dynamics during early human development.
Methods
Whole genome bisulfite sequencing libraries were prepared using the post-bisulfite adaptor tagging (PBAT) method. PBAT libraries were sequenced on the HiSeq 2000 or 2500 platform (Illumina) with 100 bp single-end reads.
Participants/materials
Human oocytes, sperm, preimplantation embryos, and cord blood cells
URL
N/A

Datasets

The list is the one this version published; each dataset's content is shown as it is now.

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000006NGS (PBAT-seq)
  • PBAT-seq
Controlled-access (Type I)2020-09-28
NHA000004methylation rate at each CpG site
  • PBAT-seq (DNA methylation profiling)
Unrestricted-access2015-01-07

Data provider

Principal investigator
Takahiro Arima
Affiliation
Department of Informative Genetics, Environment and Genome Research Center,Tohoku University Graduate School of Medicine

Research projects

No research projects.

Grants

NameTitleProject number
Core Research and Evolutional Science and Technology, Advanced Research & Development Programs for Medical Innovation, Japan Agency for Medical Research and Development (AMED-CREST)
Epigenome analysis of cells in the placenta and endometrium forming the fetal-maternal interface
  • JP17gm0510011
KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas
Epigenome Dynamics and Regulation in Germ Cells
  • 26112502

Related publications

TitleDOIDataset ID
Genome-Wide Analysis of DNA Methylation Dynamics during Early Human Development
https://doi.org/10.1371/journal.pgen.1004868 (opens in a new tab)

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
David MonkBellvitge Institute for Biomedical Research (IDIBELL)SpainTo trace the germline origin of methylated regions in the placenta. To identify oocyte-derived methylation that is aberrantly lost during human parthenogenetic stem cell generation.2015-04-07 – 2015-08-04
Hidehiro TohDivision of Epigenomics and Development, Medical Institute of Bioregulation Kyushu UniversityJapanEpigenome dynamics and regulation in germ cells2015-04-01 – 2015-08-04
David SkaarDepartment of Biological Sciences, North Carolina State UniversityNorth Carolina, United StatesEpigenetics and Genetics Throughout the Lifespan2019-04-15 – 2021-02-02