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NBDC Human Database

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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

hum0416-v1Release info

This page is a past version (v1). The latest version is v5.
Latest version (v5)

Research title

Elucidation of biological responses in intractable immune disorders and cancer and development of novel therapies through sequential multilevel omics analysis.

Research overview

Aims
In order to grasp the biological reactions and pathological conditions occurring in the body in more detail for diseases involving immune reactions, blood and tissue samples were used and analyzed by following the changes and changes over time for each patient. The present research will acquire and profile comprehensive parameters for each patient and explore factors related to disease conditions and treatments. Then, it will be linked to the understanding of pathology and the development of therapeutic methods through the confirmation of changes in the found molecules and the search for functions.
Methods
single-cell CITE-seq (Cellular indexing of transcriptomes and epitopes)
Participants/materials
Peripheral blood mononuclear cells (PBMCs) were obtained from blood samples of 8 patients with microscopic polyangiitis (MPA) and 7 healthy donors.
URL
N/A

Datasets

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

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
E-GEAD-635NGS (CITE-seq)
  • CITE-seq
Unrestricted-access2023-08-10

Data provider

Principal investigator
Takehisa Kitazawa
Affiliation
Research Division, Chugai Pharmaceutical Co., Ltd.

Research projects

No research projects.

Grants

No grants.

Related publications

TitleDOIDataset ID
Single-cell multi-omics analysis identifies two distinct phenotypes of newly-onset microscopic polyangiitis