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Due to system maintenance, the application system, application review by the Data Access Committee will be unavailable during the following period.
Schedule: October 5th (Mon), 2026, 9:00 - October 7th (Wed), 2026, 15:00 (JST)
We apologize for any inconvenience this may cause and appreciate your understanding.

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

hum0131-v1Release info

Latest

Research title

The epigenetics of neurodevelopmental disorders

Research overview

Aims
Transcriptome analysis for Williams Syndrome (WS)
Methods
RNA-sequencing
Participants/materials
WS patients and healthy adult individuals
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000143NGS (RNA-seq)
  • RNA-seq
Controlled-access (Type I)2020-09-28

Data provider

Principal investigator
Ryo Kimura
Affiliation
Department of Anatomy and Developmental Biology, Graduate School of Medicine, Kyoto University

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)
Drug discovery for autism spectrum disorder based on epigenetic research
  • JP16gm0510008
KAKENHI Grant-in-Aid for Scientific Research (C)
Integrative network analysis of Williams syndrome
  • 16K09965

Related publications

TitleDOIDataset ID
Integrative network analysis reveals biological pathways associated with Williams syndrome
https://doi.org/10.1111/jcpp.12999 (opens in a new tab)

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Michiaki HamadaHamada Laboratory, Faculty of Science and Engineering, Waseda UniversityJapanConstruction of RNA-targeted Drug Discovery Database2023-01-05 – 2027-10-31