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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

hum0390-v1Release info

Latest

Research title

Elucidation of genetic factors associated with chronic endometritis (CE) through genomic and epigenomic analyses, and investigation on novel diagnostic and therapeutic methods for CE

Research overview

Aims
To establish a knowledge basis for human reproduction and development by conducting genomic and epigenomic analyses on the cells and tissues of organs essential for pregnancy.
Methods
Total RNA samples from endometrial tissues were subjected to RNA sequencing analysis.
Participants/materials
Endometrial tissues from chronic endometritis cases and control cases
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000750NGS (RNA-seq)
  • RNA-seq
Controlled-access (Type I)2023-06-30

Data provider

Principal investigator
Keiji Kuroda
Affiliation
Center for Reproductive Medicine and Endoscopy, Sugiyama Clinic Marunouchi

Research projects

No research projects.

Grants

NameTitleProject 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

Related publications

TitleDOIDataset ID
Gene expression signatures associated with chronic endometritis revealed by RNA sequencing
https://doi.org/10.3389/fmed.2023.1185284 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.