NBDC Research ID: hum0389.v1
SUMMARY
Aims: To elucidate genetic etiologies of abnormal development and growth observed in fetuses and placentas through genomic and epigenomic analyses, and to apply knowledge from new discoveries to improve perinatal management.
Methods: Capture methyl-seq (Agilent SureSelect XT Methyl-Seq)
Participants/Materials: Capture methyl-seq data for four genomic DNA samples from peripheral blood cells of healthy women
| Dataset ID | Type of Data | Criteria | Release Date |
|---|---|---|---|
| JGAS000605 | NGS (Capture Methyl-seq) | Controlled-access (Type I) | 2023/04/04 |
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MOLECULAR DATA
| Participants/Materials | 4 healthy women (mother of an affected infant or healthy pregnant women) |
| Targets | Capture Methyl-seq |
| Target Loci for Capture Methods | 3,156,463 individual CpG dinucleotide sequences (Agilent SureSelect XT Methyl-Seq) |
| Platform | Illumina [HiSeq X] |
| Library Source | DNAs extracted from peripheral blood cells |
| Cell Lines | - |
| Library Construction (kit name) | SureSelect XT Methyl-Seq |
| Fragmentation Methods | Ultrasonic fragmentation |
| Spot Type | Paired-end |
| Read Length (without Barcodes, Adaptors, Primers, and Linkers) | 151 bp |
| Japanese Genotype-phenotype Archive Dataset ID | JGAD000734 |
| Total Data Volume | 17.4 GB (fastq) |
| Comments (Policies) | NBDC policy |
DATA PROVIDER
Principal Investigator: Kazuhiko Nakabayashi
Affiliation: Division of Developmental Genomics, Department of Maternal-Fetal Biology, Research Institute, National Center for Child Health and Development
Project / Group Name: Diagnosis of rare diseases and elucidation of molecular pathological states by using epigenetic information
Funds / Grants (Research Project Number):
| Name | Title | Project Number |
|---|---|---|
| Practical Research Project for Rare / Intractable Diseases, Japan Agency for Medical Research and Development (AMED) | Diagnosis of rare diseases and elucidation of molecular pathological states by using epigenetic information | JP22ek0109489 |
PUBLICATIONS
| Title | DOI | Dataset ID | |
|---|---|---|---|
| 1 | A capture methyl-seq protocol with improved efficiency and cost-effectiveness using pre-pooling and enzymatic conversion | doi: 10.1186/s13148-019-0712-3 | JGAD000734 |
USRES (Controlled-access Data)
| Principal Investigator | Affiliation | Country/Region | Research Title | Data in Use (Dataset ID) | Period of Data Use |
|---|---|---|---|---|---|
