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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

hum0147-v2Release info

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

Latest version (v3)

Research title

Immune regulation by cotrolling regulatory T cell-specific epigenome

Research overview

Aims: Analysis of epigenetic status of regulatory T cells (Treg) and analysis of immune cells in cancers and autoimmune diseases
Methods: RNA-seq, ChIP-seq, PBAT-seq, ATAC-seq, single cell RNA-seq, and bulk RNA-seq
Participants/materials: Healthy donors and cancer patients
URL: N/A

Datasets

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

Cart	Dataset ID	Type of data	Analysis method	Access criteria	Date published
	JGAD000214	NGS (RNA-seq) NGS (ChIP-seq) NGS (PBAT-seq) NGS (ATAC-seq)	RNA-seq ChIP-seq PBAT-seq ATAC-seq	Controlled-access (Type I)	2020-09-28
	JGAD000423	NGS (scRNA-seq) NGS (bulk RNA-seq)	scRNA-seq bulk RNA-seq	Controlled-access (Type I)	2022-02-10

Data provider

Principal investigator: Shimon Sakaguchi
Affiliation: Experimental Immunology, IFReC, Osaka University

Research projects

No research projects.

Grants

Name	Title	Project number
KAKENHI Grant-in-Aid for Scientific Research (B)	Clarification of regulatory T cell-specific epigenome	15H04744
Grant-in-Aid for Specially Promoted Research	Study of the function and development of regulatory T cells	16H06295
Core Research and Evolutional Science and Technology, Advanced Research & Development Programs for Medical Innovation, Japan Agency for Medical Research and Development (AMED-CREST)	Devising novel methods to control chronic inflammation via regulatory T cells	JP17gm0410016
Leading Advanced Projects for medical innovation, Advanced Research & Development Programs for Medical Innovation, Japan Agency for Medical Research and Development (AMED-LEAP)	Study of Immunoregulatory technology targeting regulatory T cells	JP18gm0010005

Related publications

Title	DOI	Dataset ID
Regulatory T Cell-Specific Epigenomic Region Variants Are a Key Determinant of Susceptibility to Common Autoimmune Diseases	https://doi.org/10.1016/j.immuni.2020.04.006 (opens in a new tab)	JGAD000214
CCR8-targeted specific depletion of clonally expanded Treg cells in tumor tissues evokes potent tumor immunity with long-lasting memory	https://doi.org/10.1073/pnas.2114282119 (opens in a new tab)	JGAD000423

Controlled access users

Principal investigator	Affiliation	Country/Region	Research title	Period of data use	Dataset ID
Michiaki Hamada	Hamada Laboratory, Faculty of Science and Engineering, Waseda University	Japan	Construction of RNA-targeted Drug Discovery Database	2023-01-05 – 2027-10-31	JGAD000214 JGAD000423
Yuta Kochi	Department of Genomic Function and Diversity, Medical Research Institute, Tokyo Medical and Dental University	Japan	Genetic study of complex diseases through comprehensive analysis of functional genetic variations	2023-04-12 – 2028-03-31	JGAD000214