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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)
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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

hum0476-v2Release info

Latest

Research title

Observational studies using advanced analytical techniques to understand the biological functions of kidney component cells

Research overview

Aims
To establish a foundation for understanding the functions of kidney component cells and the biology of renal disease. Single cell and spatial transcriptome analyses of human kidney component cells will be performed to analyze the gene expression profiles of those cells and explore their relationship between the gene expression profiles and clinical parameters. The research foundation established here is worthwhile for understanding disease mechanisms in the kidney or discovering novel therapeutic drugs for renal disease.
Methods
Single cell RNA sequencing analysis, Spatial transcriptome analysis (Visium)
Participants/materials
Noncancerous tissue (including other findings) from surgically removed from 32 renal cancer patients
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000871NGS (scRNA-seq)
NGS (Visium Spatial Gene Expression), Histological image
  • scRNA-seq
  • Visium 空間トランスクリプトーム + 病理画像
Controlled-access (Type I)2025-01-08

Data provider

Principal investigator
Shokichi Naito
Affiliation
Nephrology, Kitasato University school of Medicine

Research projects

No research projects.

Grants

No grants.

Related publications

TitleDOIDataset ID
Inflammatory molecules in the glomerular endothelium in mild IgA-Nephropathy identified by single-cell and spatial transcriptome
https://doi.org/10.1101/2024.10.30.621002 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.