NBDC Research ID: hum0262.v1

SUMMARY

Aims: Identification of predictive markers based on transcriptome modules for microtubule inhibitors of lung adenocarcinoma patients

Methods: RNA sequencing

Participants/Materials: Lung Adenocarcinoma, 24 cases

Dataset ID	Type of Data	Criteria	Release Date
JGAS000267	NGS (RNA-seq)	Controlled-access (Type I)	2021/05/11

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MOLECULAR DATA


Participants/Materials	Lung Adenocarcinoma (ICD10: C349): 24 cases
Targets	RNA-seq
Target Loci for Capture Methods	-
Platform	Illumina [HiSeq 1500/2500]
Library Source	RNAs extracted from tumor tissues (FFPE)
Cell Lines	-
Library Construction (kit name)	TruSeq RNA Access Library Prep Kit
Fragmentation Methods	-
Spot Type	Paired-end
Read Length (without Barcodes, Adaptors, Primers, and Linkers)	202 bp
Japanese Genotype-phenotype Archive Dataset ID	JGAD000370
Total Data Volume	751.7 GB (fastq)
Comments (Policies)	NBDC policy

Principal Investigator: Katsuya Tsuchihara

Affiliation: Division of Tranaslational Research, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center

Project / Group Name: -

Funds / Grants (Research Project Number):

Name	Title	Project Number
Practical Research for Innovative Cancer Control, Japan Agency for Medical Research and Development (AMED)	Precision medicine of advanced lung cancer based on Pan-Japan clinical sequencing data	JP19ck0106255
KAKENHI Grant-in-Aid for Scientific Research on Priority Areas (Research in a proposed research area)	Development of the next generation transcriptome analysis and its application	17H06306

	Title	DOI	Dataset ID
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Principal Investigator	Affiliation	Country/Region	Research Title	Data in Use (Dataset ID)	Period of Data Use
Michiaki Hamada	Faculty of Science and Engineering, Waseda University	Japan	Construction of RNA-targeted Drug Discovery Database	JGAD000370	2022/12/26-2025/03/31