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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

hum0111-v2Release info

This page is a past version (v2). The latest version is v3.
Latest version (v3)

Research title

Analysis of gastric cancer genome and its clinicopathological significance

Research overview

Aims
Genomic analysis of tumor infiltrating lymphocytes in gastric cancer
Methods
RNA-seq by Illumina HiSeq 2000 and amplicon sequencing of T/B cell antigen receptors by Illumina MiSeq
Participants/materials
Specimens of 30 diffuse-type gastric carcinoma and 60 + 15 gastric carcinoma (matched tumor and normal tissue)
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
JGAD000105NGS (RNA-seq)
NGS (Amplicon-seq)
  • RNA-seq
Controlled-access (Type I)2020-09-28
JGAD000104NGS (RNA-seq)
NGS (Amplicon-seq)
  • RNA Amplicon-seq
Controlled-access (Type I)2020-09-28
JGAD000210NGS (Amplicon-seq)
  • RNA Amplicon-seq
Controlled-access (Type I)2020-09-28

Data provider

Principal investigator
Shumpei Ishikawa
Affiliation
Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Young Scientists (A)
Immunogenetic Repertoire Analysis for Tumor-infiltrating Lymphocytes - toward the Understanding of Tumor Immunity -
  • 26710009
Project for Cancer Research and Therapeutic Evolution (P-CREATE), Japan Agency for Medical Research and Development (AMED)
Integrated genomics of cancer cells and immune cells in gastric cancer
  • 15655817
Basic Science and Platform Technology Program for Innovative Biological Medicine, Japan Agency for Medical Research and Development (AMED)
Technology development for obtaining functional and cancer-specific single-domain antigen receptor complex.
  • JP18am0301011
Research on Development of New Drugs, Japan Agency for Medical Research and Development (AMED)
Study of designing technology of high performance antibodies based on clinical genome data science and machine learning
  • JP18ak0101096

Related publications

TitleDOIDataset ID
Immunogenetic Profiling for Gastric Cancers Identifies Sulfated Glycosaminoglycans as Major and Functional B-cell Antigens among Human Malignancies
https://doi.org/10.1016/j.celrep.2017.07.016 (opens in a new tab)
Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning.
https://doi.org/10.1186/s12859-019-2853-y (opens in a new tab)
Focal adhesion ribonucleoprotein complex proteins are major humoral cancer antigens and targets in autoimmune diseases
https://doi.org/10.1038/s42003-020-01305-5 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.