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

hum0556-v1Release info

Latest

Research title

Research on the biological characteristics of gene expression profiles and biomarkers for diagnosis and treatment in lung cancer

Research overview

Aims: By analyzing thoracic tumor specimens and normal tissues, this study aims to elucidate the pathophysiology of cancer, thereby contributing to cancer prevention, the establishment of diagnostic and therapeutic methods, and the development of novel treatments.
Methods: ChIP-seq
Participants/materials: Tumor samples from 17 patients with lung cancer
URL: N/A

Datasets

Cart	Dataset ID	Type of data	Analysis method	Access criteria	Date published
	JGAD001047	NGS (ChIP-seq)	ChIP-seq	Controlled-access (Type I)	2026-06-24

Data provider

Principal investigator: Takashi Sato
Affiliation: Department of Respiratory Medicine, Kitasato University School of Medicine

Research projects

No research projects.

Grants

Name	Title	Project number
KAKENHI Grant-in-Aid for Early-Career Scientists	Exploration of differentiation programs in lung cancers using epigenomic profiling	20K17192
KAKENHI Grant-in-Aid for Scientific Research (C)	Exploring the roles of master regulators in differentiation programs of various lung cancers	23K07609
KAKENHI Grant-in-Aid for Scientific Research (C)	Search for MYC-related biomarkers for lung neuroendocrine neoplasms	22K08288
MSD Life Science Foundation, Public Interest Incorporated Foundation	Heterogeneity and plasticity of differentiation programs in lung cancer	N/A
Medical Research Grant, Takeda Science Foundation	Deciphering the Heterogeneity and Plasticity of Differentiation Programs that Define Lung Cancer Phenotypes	N/A
The Naito Foundation	Investigating Plasticity in Lung Cancer Progression and Adaptation	N/A

Related publications

Title	DOI	Dataset ID
Epigenomic profiling of neuroendocrine lung cancers identifies a classical-neuroendocrine ASCL1/NKX2-1 subtype and a SOX11-associated differentiation axis linked to reduced immunogenicity	https://doi.org/10.1016/j.lungcan.2026.109464 (opens in a new tab)	JGAD001047

Controlled access users

No use of the controlled access data has been recorded.