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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)
We apologize for any inconvenience this may cause and appreciate your understanding.

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

hum0148-v1Release info

Latest
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Research title

Analysis of abnomal character and expression of genes in tissues of urologic carcinomas.

Research overview

Aims
The exploratory research of diagnositic biomarkers and therapeutic targets of renal cell carcinoma.
Methods
RNA-seq
Participants/materials
Primary and metastatic tumor tissues of renal cell carcinomas
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000223NGS (RNA-seq)
  • RNA-seq
Controlled-access (Type I)2020-09-28
JGAD000224NGS (RNA-seq)
  • RNA-seq
Controlled-access (Type I)2020-09-28
JGAD000225NGS (RNA-seq)
  • RNA-seq
Controlled-access (Type I)2020-09-28

Data provider

Principal investigator
Takeshi Yuasa
Affiliation
The Cancer Institute Hospital of Japanese Foundation for Cancer Research (JFCR)

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (C)
Towards the personalized medicine for metastatic renal cell cancer
  • 16K11035
Smoking Research Foundation
腎癌における遺伝子変異・発現異常を基にした治療体系確立への基礎研究
N/A

Related publications

TitleDOIDataset ID
ADP-ribosylation factor-like 4C is a predictive biomarker of poor prognosis in patients with renal cell carcinoma
https://pmc.ncbi.nlm.nih.gov/articles/PMC6405968/ (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.