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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.
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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

hum0383-v1Release info

Latest

Research title

Analysis of the effect of abatacept for the transcriptome of multiple lymphoid subsets

Research overview

Aims
To elucidate the mechanism and predictors of abatacept, a CTLA4 agonist that regulates T cell co-stimulation, in rheumatoid arthritis (RA) treatment.
Methods
Various peripheral blood immune cell subsets from 5 RA patients were collected (CD16p_Mono, CL_Mono, DN_B, Fr_II_eTreg, mDC, Mem_CD4, Naive_B, Naive_CD4, Neu, NK, pDC, Plasmablast, SM_B, Tfh, Th1, Th17, Th2, USM_B). The patients were analyzed again longitudinally after abatacept treatment. RNA-seq was performed with each immune cell subset sample.
Participants/materials
5 RA patients
URL

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000731NGS (RNA-seq)
  • RNA-seq
Controlled-access (Type I)2023-03-27

Data provider

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

Research projects

NameURL
Analysis of the effect of abatacept for the transcriptome of multiple lymphoid subsets

Grants

NameTitleProject number
Collaborative research fund with Bristol Myers Squibb Japan
Analysis of the effect of abatacept for the transcriptome of multiple lymphoid subsets
N/A

Related publications

TitleDOIDataset ID
Immunomics analysis of rheumatoid arthritis identified precursor dendritic cells as a key cell subset of treatment resistance
https://doi.org/10.1136/ard-2022-223645 (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
Shimpei KubotaMolecular Psychoneuroimmunology, Hokkaido UniversityJapanGene expression and IL-6 amplifying circuit activators in rheumatoid arthritis and systemic lupus erythematosus2024-02-26 – 2026-03-31
Pranidhi SoodWield Therapeutics, IncCalifornia, United StatesIdentifying Gene Expression Based Biomarkers in Patients with Autoimmune Diseases to Predict Response to New Therapies Developed by Wield Therapeutics2025-06-25 – 2027-04-23