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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

hum0315-v2Release info

Latest

Research title

Comprehensive analysis of genetic alterations in hematological malignancies

Research overview

Aims
To explore genetic alteratoins in KMT2A-rearranged infant acute lymphoblastic leukemia, we performed genome wide analyses using next generation sequencing technologies.
Methods
A total of 84 infants with KMT2A-r ALL were characterized by RNA sequencing, methylation array, and whole exome and targeted deep sequencing. Single-cell RNA sequencing analysis was performed in two cases. ChIP-seq and RNA sequencing were performed in three cell lines derived from infants with KMT2A-r ALL.
Participants/materials
84 infants with KMT2A-rearranged acute lymphoblastic leukemia, and 3 cell lines derived from infants with KMT2A-rearranged acute lymphoblastic leukemia
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000500NGS (Exome)
NGS (RNA-seq)
NGS (scRNA-seq)
NGS (ChIP-seq)
Methylation array
  • WES
  • RNA-seq
  • scRNA-seq
Controlled-access (Type I)2022-01-14

Data provider

Principal investigator
Junko Takita
Affiliation
Department of Pediatrics, Graduate School of Medicine, Kyoto University

Research projects

No research projects.

Grants

NameTitleProject number
Project for Cancer Research and Therapeutic Evolution (P-CREATE), Japan Agency for Medical Research and Development (AMED)
Development for novel therapeutic stratagies of intractable cancers in children and adolescent and young adult using molecular profilings
  • JP16cm0106509
KAKENHI Grant-in-Aid for Scientific Research (B)
Development for novel therapeutic stratagies of intractable pediatric cancers based on the multi-omics analysis
  • 17H04224
KAKENHI Grant-in-Aid for Scientific Research (A)
Integrated analysis of mechanisms of genetic susceptibility and clonal evolution in pediatric cancers
  • 20H00528

Related publications

TitleDOIDataset ID
Multi-omics analysis defines highly refractory RAS burdened immature subgroup of infant acute lymphoblastic leukemia
https://doi.org/10.1038/s41467-022-32266-4 (opens in a new tab)

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Michiaki HamadaHamada Laboratory, Faculty of Science and Engineering, Waseda UniversityJapanConstruction of RNA-targeted Drug Discovery Database2023-01-05 – 2027-10-31