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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

hum0218-v1Release info

Latest

Research title

Gene expression analysis in systemic sclerosis

Research overview

Aims: To elucidate the subpopulation of monocytes that are related to the pathophysiology of systemic sclerosis
Methods: Peripheral blood monocytes from 3 systemic sclerosis patients were collected and a single cell RNA-seq was performed for 984 cells.
Participants/materials: Systemic sclerosis
URL: https://www.h.u-tokyo.ac.jp/english/centers-services/clinical-divisions/allergy-and-rheumatology/index.html (opens in a new tab)

Datasets

Cart	Dataset ID	Type of data	Analysis method	Access criteria	Date published
	E-GEAD-344	NGS (scRNA-seq)	scRNA-seq	Unrestricted-access	2020-10-10

Data provider

Principal investigator: Keishi Fujio
Affiliation: Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo

Research projects

Name	URL
Gene expression analysis of systemic sclerosis patients.	https://www.h.u-tokyo.ac.jp/english/centers-services/clinical-divisions/allergy-and-rheumatology/index.html (opens in a new tab)

Grants

Name	Title	Project number
KAKENHI Grant-in-Aid for Young Scientists (B)	Single-cell RNA-seq inquiry into pathogenic immune cells in systemic sclerosis	17K16204

Related publications

Title	DOI	Dataset ID
Integrated bulk and single-cell RNA-sequencing identified disease-relevant monocytes and a gene network module underlying systemic sclerosis	https://doi.org/10.1016/j.jaut.2020.102547 (opens in a new tab)	E-GEAD-344 JGAD000309 (hum0214)