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About NBDC Human Database

An enormous amount of human data is being generated with advances in next-generation sequencing and other analytical technologies. We therefore need rules and mechanisms for organizing and storing such data and for effectively utilizing them to make progress in the life sciences.

To promote sharing and utilization of human data while considering the protection of personal information, the Database Center for Life Science (DBCLS) of the Joint Support-Center for Data Science Research, Research Organization of Information and Systems (ROIS-DS) created a platform for sharing various data generated from human specimens, which are available for publicly access in cooperation with the DNA Data Bank of JapanDDBJ logo ddbj 2013.

You can apply to use or submit human data through this website.

Violators of the guidelines who have not submitted a report on the deletion of Controlled-access data shall be disclosed here.

NBDC Research ID: hum0404.v1

 

SUMMARY

Aims: In this study, we analyze the genomic information of samples from patients with various cardiovascular diseases, including severe heart failure, and identify genetic mutations and polymorphisms that are thought to be related to the pathology of cardiovascular diseases. The purpose is to elucidate the underlying mechanism and develop new therapeutic interventions. The source of the genome to be analyzed is mainly peripheral blood, but in some cases, the genome extracted from the myocardial tissue obtained by myocardial biopsy or iPS cells generated from the patient is also used. In the analysis using iPS cells, we repair genetic mutation using genome editing technology such as CRISPR/Cas9 and analyze the pathological phenotypes.

Methods:

[scRNA-seq] GFP (Control) or S-RBD-sfGFP was added to iPS cell-derived cardiomyocytes and after 48 hours the cells were collected and single-cell RNA sequence analysis was performed.

[WGS] Genomic DNA was extracted from the peripheral blood cells of cardiomyopathy cases and performed whole genome sequencing analysis.

Participants/Materials: iPS cell-derived cardiomyocytes established from a cardiomyopathy case, peripheral blood cells of 3 cardiomyopathy cases

URL: http://www.cardiology.med.osaka-u.ac.jp/?page_id=34330

 

Dataset IDType of DataCriteriaRelease Date
JGAS000620 NGS (scRNA-seq) Controlled-access (Type I) 2025/09/30
E-GEAD-628 NGS (scRNA-seq) Unrestricted-access 2025/09/30

JGAS000704

JGAS000705

JGAS000706

NGS (WGS) Controlled-access (Type I) 2025/09/30

*Release Note

*Data users need to apply an application for Using NBDC Human Data to reach the Controlled-access Data. Learn more

 

MOLECULAR DATA

scRNA-seq

Participants/Materials

cardiomyopathy (ICD10: I42.0): 1 case

    GFP or S-RBD-sfGFP was added to iPS cell-derived cardiomyocytes generated from a cardiomyopathy case: 2 samples

Targets scRNA-seq
Target Loci for Capture Methods -
Platform Illumina [HiSeq X Ten]
Library Source RNAs extracted from iPS cell-derived cardiomyocytes
Cell Lines -
Library Construction (kit name) Chromium Next GEM Single Cell 3' Reagent Kits v3.1
Fragmentation Methods included in the above library construction kit
Spot Type Paired-end
Read Length (without Barcodes, Adaptors, Primers, and Linkers) 91 bp
Mapping Methods Cell Ranger v7.0.1
Reference Genome Sequence refdata-cellranger-GRCh38-3.0.0
Detecting method for read count (software) Cell Ranger v7.0.1
QC Methods

Unique Molecular Identifiers (UMI): 10–17 (Log2) UMIs per Barcode.

Thresholds for genes expressed: more than seven (Log2) genes per barcode.

Thresholds for mitochondrial UMI: Remove the barcodes with more than 20% of mitochondrial UMI counts.

Gene Number

GFP: 23,234

S-RBD-sfGFP: 23,349

Japanese Genotype-phenotype Archive Dataset ID JGAD000749
Genomic Expression Archive ID E-GEAD-628
Total Data Volume

JGAD000749: 66.7 GB (fastq)

E-GEAD-628: 133 MB (barcodes.tsv.gz, features.tsv.gz, matrix.mtx.gz)

Comments (Policies) NBDC policy

 

WGS

Participants/Materials

cardiomyopathy (ICD10: I42.0): 3 cases

    hypertrophic cardiomyopathy (HCM): 1 case

    arrhythmogenic right ventricular cardiomyopathy (ARVC): 1 case

    myotonic dystrophy: 1 case

Targets WGS
Target Loci for Capture Methods -
Platform Illumina [NovaSeq 6000]
Library Source DNAs extracted from peripheral blood
Cell Lines -
Library Construction (kit name) TruSeq DNA PCR-Free Library Prep Kit
Fragmentation Methods Ultrasonic fragmentation (Covaris)
Spot Type Paired-end
Read Length (without Barcodes, Adaptors, Primers, and Linkers) 150 bp
Japanese Genotype-phenotype Archive Dataset ID

HCM: JGAD000837

ARVC: JGAD000838

myotonic dystrophy: JGAD000839

Total Data Volume

JGAD000837: 62.8 GB (fastq)

JGAD000838: 64.3 GB (fastq)

JGAD000839: 67.5 GB (fastq)

Comments (Policies) NBDC policy

 

DATA PROVIDER

Principal Investigator: Shuichiro Higo

Affiliation: Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine

Project / Group Name: -

Funds / Grants (Research Project Number):

NameTitleProject Number

 

PUBLICATIONS

TitleDOIDataset ID
1 SARS-CoV-2 spike receptor-binding domain is internalized and promotes protein ISGylation in human induced pluripotent stem cell-derived cardiomyocytes doi: 10.1038/s41598-023-48084-7 E-GEAD-628
2

 

USRES (Controlled-access Data)

Principal InvestigatorAffiliationCountry/RegionResearch TitleData in Use (Dataset ID)Period of Data Use

hum0404 Release Note

Research IDRelease DateType of Data
hum0404.v1 2025/09/30 NGS (scRNA-seq, WGS)

 

hum0404.v1

- RNAs extracted from the cells collected after 48 hours from adding GFP or S-RBD-sfGFP to iPS cell-derived cardiomyocytes generated from a cardiomyopathy case were used for single-cell RNA-sequencing analysis. Fastq, barcodes.tsv.gz, features.tsv.gz and matrix.mtx.gz files are provided.

- DNAs extracted from peripheral blood of 3 cardiomyopathy cases were used for whole genome sequencing analysis. Fastq files are provided.

 

Note:

hum0533 Release Note

Research IDRelease DateType of Data
hum0533.v1 2025/10/17 NGS (Exome, RNA-seq)

 

hum0533.v1

DNA/RNA extracted from tumor tissues or non-tumor tissues from 7 GAPPS patients were used for the whole exome sequencing and RNA sequencing analyses. Bam, bai and csv files are provided.

 

Note:

NBDC Research ID: hum0533.v1

 

SUMMARY

Aims: In recent years, gastric adenocarcinoma and proximal polyposis of the stomach (GAPPS), an autosomal dominant syndrome with polyp formation in the gastric cardia progressing to carcinoma, has been reported. Germline mutations in APC promoter 1B were identified as its cause, yet the molecular mechanisms of carcinogenesis remain unclear. To elucidate the progression from normal mucosa to fundic gland polyps (FGPs) and carcinoma, we collected multiple samples from each lesion and performed whole exome sequencing and RNA sequencing. Comprehensive mutational and transcriptomic analyses provided novel insights into GAPPS biology.

Methods: Whole exome sequencing, RNA sequencing

Participants/Materials: 7 GAPPS cases

 

Dataset IDType of DataCriteriaRelease Date
JGAS000843 NGS (Exome, RNA-seq) Controlled-access (Type I) 2025/10/17

*Release Note

*Data users need to apply an application for Using NBDC Human Data to reach the Controlled-access Data. Learn more

 

MOLECULAR DATA

Exome

Participants/Materials

GAPPS (ICD10: D139): 7 cases

         61 samples (14 gastric carcinoma, 13 gastric polyp, 27 normal gastric mucosa, 7 peripheral blood)

Targets Exome
Target Loci for Capture Methods -
Platform Illumina [NovaSeq 6000]
Library Source DNA extracted from tumor tissues or non-tumor tissues
Cell Lines -
Library Construction (kit name) SureSelect Human All Exon V6
Fragmentation Methods Enzymatic fragmentation
Spot Type Paired-end
Read Length (without Barcodes, Adaptors, Primers, and Linkers) 150 bp
Software GATK (v4.2.6.1), Picard MarkDuplicates (v2.27.5), Samtools (v1.14), ANNOVAR (2020-06-08 release)
Mapping Quality Median MAPQ ≥ 60
Reference Genome Sequence GRCh38.p14
Coverage (Depth) 175x (range 144–236x)
QC Methods

FastQC (v0.11.9)
Hard-filter (GATK recommendation)

SNP: QD < 2.0, FS > 60.0, MQ < 40.0, MQRankSum < -12.5, ReadPosRankSum < -8.0, SOR > 3.0

INDEL: QD < 2.0, FS > 200.0, ReadPosRankSum < -20.0, SOR > 10.0

Japanese Genotype-phenotype Archive Dataset ID JGAD000985
Total Data Volume 653.9 GB(bam, bai, csv)
Comments (Policies) NBDC policy

 

RNA-seq

Participants/Materials

GAPPS (ICD10: D139): 7 cases

         53 samples (13 gastric carcinoma, 13 gastric polyp, 27 normal gastric mucosa)

Targets RNA-seq
Target Loci for Capture Methods -
Platform Illumina [NovaSeq 6000]
Library Source RNA extracted from tumor tissues or non-tumor tissues
Cell Lines -
Library Construction (kit name) NEBNext Ultra II RNA Library Prep Kit
Fragmentation Methods Enzymatic fragmentation
Spot Type Paired-end
Read Length (without Barcodes, Adaptors, Primers, and Linkers) 150 bp
Softwear STAR (v2.7.10a), RSEM (v1.3.3), Samtools (v1.14), DESeq2 (v1.38.3)
Mapping Quality Median MAPQ ≥ 60
Reference Genome Sequence GRCh38.p14
QC Methods

FastQC (v0.11.9)
Hard-filter (GATK recommendation)

SNP: QD < 2.0, FS > 60.0, MQ < 40.0, MQRankSum < -12.5, ReadPosRankSum < -8.0, SOR > 3.0

INDEL: QD < 2.0, FS > 200.0, ReadPosRankSum < -20.0, SOR > 10.0

Japanese Genotype-phenotype Archive Dataset ID JGAD000985
Total Data Volume 653.9 GB(bam, bai, csv)
Comments (Policies) NBDC policy

 

DATA PROVIDER

Principal Investigator: Chihiro Matsumoto

Affiliation: Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University

Project / Group Name: -

Funds / Grants (Research Project Number):

NameTitleProject Number
Princess Takamatsu Cancer Research Fund Molecular elucidation of the dysplasia–adenoma–adenocarcinoma sequence in gastric cancer 21-25303
Japanese Gastric Cancer Association Comprehensive genomic analysis for molecular mechanism of carcinogenesis of hereditary gastric cancer JGCA-32
KAKENHI Grant-in-Aid for Scientific Research (C) Elucidation of the carcinogenic mechanisms of hereditary gastric cancer and establishment of innovative therapeutic strategies 24K10427
KAKENHI Grant-in-Aid for Scientific Research (C) Development of a precise method for estimating the timing of mutations during carcinogenesis 24K18481

 

PUBLICATIONS

TitleDOIDataset ID
1 Genomic and transcriptomic landscape of carcinogenesis in patients with gastric adenocarcinoma and proximal polyposis of the stomach (GAPPS)
2

 

USRES (Controlled-access Data)

Principal InvestigatorAffiliationCountry/RegionResearch TitleData in Use (Dataset ID)Period of Data Use

NBDC Research ID: hum0225.v2

SUMMARY

Aims: Estimating the risks of developing adult T-cell leukemia (ATL) through a genetic analysis of human T-cell leukemia virus (HTLV-1)-associated myelopathy (HAM)

Methods: Target capture sequencing, RNA-seq, ATAC-seq, single-cell Multiome (scRNA-seq, scATAC-seq)

Participants/Materials:

   Target capture: HAM 21 cases (infected and uninfected cells)

   RNA-seq: HAM 13 cases (infected cells)

   ATAC-seq: HAM 2 cases (infected cells)

   scMultiome: HAM 2 cases, asymptomatic HTLV-1 carriers 3 individuals

 

Dataset IDType of DataCriteriaRelease Date
JGAS000226 NGS (Target Capture) Controlled-access (Type I) 2020/05/08
JGAS000835 NGS (RNA-seq, ATAC-seq, scMultiome) Controlled-access (Type I) 2025/09/24

*Release Note

* Data users need to apply an application for Using NBDC Human Data to reach the Controlled-access Data. Learn more

 

MOLECULAR DATA

JGAS000226

Participants/Materials

HAM(ICD-10:A858/B973): 21 cases (46 samples)

    infected cells (tumor cells): 23 samples (including post-ATL specimens for 2 cases)

    uninfected cells (non-tumor cells): 23 samples (including post-ATL specimens for 2 cases)

Targets Target Capture
Target Loci for Capture Methods 280 genes (human) including 50 candidate genes for ATL and whole genome of HTLV-1 provirus
Platform Illumina [HiSeq 2500/3000]
Library Source DNAs extracted from PBMC (infected and uninfected cells) of HAM patients
Cell Lines -
Library Construction (kit name) SureSelect XT HS Target Enrichment System
Fragmentation Methods Ultrasonic fragmentation (Covaris)
Spot Type Paired-end
Read Length (without Barcodes, Adaptors, Primers, and Linkers) 100 bp
Japanese Genotype-phenotype Archive Dataset ID JGAD000318
Total Data Volume 238 GB (fastq)
Comments (Policies) NBDC policy

 

RNA-seq

Participants/Materials HAM(ICD-10:A858/B973): 13 cases
Targets RNA-seq
Target Loci for Capture Methods -
Platform Illumina [NovaSeq 6000]
Library Source RNAs extracted from HTLV-1-infected T cells sorted using anti-CD4, anti-CADM1, and anti-CD7 antibodies
Cell Lines -
Library Construction (kit name) NEBNext rRNA Depletion Kit
Fragmentation Methods chemical fragmentation
Spot Type Paired-end
Read Length (without Barcodes, Adaptors, Primers, and Linkers) 300 bp
Japanese Genotype-phenotype Archive Dataset ID JGAD000977
Total Data Volume 583.2 GB (fastq)
Comments (Policies) NBDC policy

 

ATAC-seq

Participants/Materials HAM(ICD-10:A858/B973): 2 cases
Targets ATAC-seq
Target Loci for Capture Methods -
Platform Illumina [NovaSeq 6000]
Library Source DNAs extracted from HTLV-1–infected T cells sorted using anti-CD4, anti-CADM1, and anti-CD7 antibodies
Cell Lines -
Library Construction (kit name) Standard consecutive enzymatic steps of end-polishing, dA-addition, and adaptor ligation
Fragmentation Methods Ultrasonic fragmentation (Covaris)
Spot Type Paired-end
Read Length (without Barcodes, Adaptors, Primers, and Linkers) 300 bp
Japanese Genotype-phenotype Archive Dataset ID JGAD000977
Total Data Volume 583.2 GB (fastq)
Comments (Policies) NBDC policy

 

single-cell Multiome

Participants/Materials

HAM(ICD-10:A858/B973): 2 cases

HTLV-1-infected asymptomatic individuals: 3 cases

Targets scRNA-seq, scATAC-seq
Target Loci for Capture Methods -
Platform Illumina [NovaSeq 6000]
Library Source DNAs/RNAs extracted from peripheral blood mononuclear cells
Cell Lines -
Library Construction (kit name) Chromium Next GEM Single Cell Multiome ATAC + Gene Expression
Fragmentation Methods Enzymatic fragmentation
Spot Type Paired-end
Read Length (without Barcodes, Adaptors, Primers, and Linkers)

scRNA-seq: 118 bp

scATAC-seq: 99 bp

Japanese Genotype-phenotype Archive Dataset ID JGAD000977
Total Data Volume 583.2 GB (fastq)
Comments (Policies) NBDC policy

 

DATA PROVIDER

Principal Investigator: Makoto Yamagishi / Yoshihisa Yamano

Affiliation: Graduate School of Frontier Sciences, The University of Tokyo / Institute of Medical Science, St. Marianna University School of Medicine

Project / Group Name: Laboratory of Viral Oncology and Genomics / Department of Rare Disases Research

Funds / Grants (Research Project Number):

NameTitleProject Number
Research Program on Emerging and Re-emerging Infectious Diseases, Japan Agency for Medical Research and Development (AMED) Development of risk stratification and prevention for HTLV-1-associated diseases based on multi-omics database JP20fk0108126
KAKENHI Grant-in-Aid for Scientific Research (B) Analysis of genome/epigenome control mechanism that regulates abnormal traits of HTLV-1 infected cells in HAM 19H03575
Practical Research Project for Rare / Intractable Diseases, Japan Agency for Medical Research and Development (AMED) The establishment of evidence for clinical guideline development on HAM and HTLV-1-related refractory disease through integration of patient registry JP19ek0109356
Research Program on Emerging and Re-emerging Infectious Diseases, Japan Agency for Medical Research and Development (AMED) Comprehensive study on elucidation of pathogenesis of HTLV-1 infection based on genome information and development of risk prediction algorithm JP25fk0108672

 

PUBLICATIONS

TitleDOIDataset ID
1 Mortality and risk of progression to adult T-cell leukemia/lymphoma in patients with HTLV-1-associated myelopathy/tropical spastic paraparesis doi: 10.1073/pnas.1920346117 JGAD000318
2

 

USRES (Controlled-access Data)

Principal InvestigatorAffiliationCountry/RegionResearch TitleData in Use (Dataset ID)Period of Data Use
Masao Matsuoka Kumamoto University School of Medicine Hematology, Rheumatology and Infectious Diseases Japan Retrospective observational study of characteristics, clinical course and treatment of malignant lymphoma and adult T-cell leukemia/lymphoma with genetic and pathological evaluations JGAD000318 2022/05/16-2030/03/31
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