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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

hum0284-v1Release info

Latest

Research title

Elucidation of the molecular mechanism that controls the transition from precancerous lesions to invasive cancer due to disruption of biological maintenance function

Research overview

Aims
To clarify expressional changes from precancerous to malignancy by single-cell RNA-seq analysis of breast cancer clinical specimens
Methods
Cells were isolated from the surgically resected tumor tissue. Single-cell sequence library was constructed using 10xChromium kit. Single-cell gene expression analysis was performed by a next-generation sequencer.
Participants/materials
Primary tumor samples collected from breast cancer patients
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000420NGS (scRNA-seq)
  • scRNA-seq
Controlled-access (Type I)2023-01-20

Data provider

Principal investigator
Jun Nakayama
Affiliation
Division of Cellular Signaling, National Cancer Center Research Institute

Research projects

NameURL
Laboratory of Integrative Oncology
N/A

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for JSPS Research Fellows
Analysis of Cancer Evolution by Single Cell Amplicomics
  • 20J01794

Related publications

TitleDOIDataset ID
Single-Cell Transcriptome Profiling Reveals Intratumoral Heterogeneity and Molecular Features of Ductal Carcinoma In Situ

Controlled access users

No use of the controlled access data has been recorded.