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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

hum0006-v1Release info

This page is a past version (v1). The latest version is v6.
Latest version (v6)

Research title

Genomic and Genetic Analysis of Brain Tumors and Analysis of Their Clinicopathological Significance

Research overview

Aims
The identification of genomic/genetic alterations in brain tumors (gliomas) and analysis of their clinicopathological significance.
Methods
Exome sequence analysis using next generation sequencer (Illumina HiSeq 2000).
Participants/materials
Surgical specimen of brain tumors (gliomas) and parid normal peripheral blood cells (Total: 23 samples).
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
JGAD000004astrocytoma
NGS (Exome)
  • WES
Controlled-access (Type I)2020-09-28

Data provider

Principal investigator
Nobuhito Saito
Affiliation
Department of Neurosurgery, The University of Tokyo

Research projects

NameURL
Project for Development of Innovative Research on Cancer Therapeutics (P-DIRECT)

Grants

NameTitleProject number
Ministry of Education, Culture, Sports, Science and Technology Japan (MEXT) P-DIRECT
Development of novel therapeutic strategy and biomarker for the treatment of malignant brain tumors
N/A

Related publications

TitleDOIDataset ID
Mutational Analysis Reveals the Origin and Therapy-Driven Evolution of Recurrent Glioma
https://doi.org/10.1126/science.1239947 (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
Frank AttenelloDepartment of Neurological Surgery, USC Keck School of MedicineUnited StatesExamining the role of a novel long noncoding RNA, linc02454, in resistance of glioblastoma to temozolomide2023-04-06 – 2026-01-31