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Due to system maintenance, the application system, application review by the Data Access Committee will be unavailable during the following period.
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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

hum0469-v1Release info

Latest

Research title

Investigation of immune response to cytomegalovirus during pregnancy

Research overview

Aims
In utero CMV infection is the most frequent perinatal viral infection causing neurological sequelae in infants. When a pregnant woman is first infected with CMV, approximately 40% of cases cross the placenta, resulting in congenital CMV infection. In this study, we focused on the maternal immune response to CMV infection and analyzed the clonality of B cell receptors (BCR) and T cell receptors (TCR) that react to CMV-derived antigen peptides to elucidate their functions and characteristics, and to investigate the usefulness of current screening methods for mother-to-child CMV infection. The aim is to examine the usefulness of current screening methods for mother-to-child transmission of CMV, and to develop vaccines and treatments.
Methods
PBMCs were used for single-cell RNA sequence analysis.
Participants/materials
Pregnant women undergoing early pregnancy screening (around 12 weeks' gestation) at the University of Tokyo Hospital
4 specimens around 12 weeks, 7 specimens around 20 weeks, 1 specimen at 28 weeks, 3 specimens around 36 weeks
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000861NGS (scRNA-seq)
  • scRNA-seq
Controlled-access (Type I)2024-08-19

Data provider

Principal investigator
Mari Ichinose
Affiliation
Obstetrics and Gynecology, The University of Tokyo

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (C)
Development, validation, and application of machine learning system for TCR epitope prediction
  • 20K06610
Kanzawa Medical Research Foundation
Elucidation of immunokinetics and development of diagnostic modality for congenital cytomegalovirus infection by antigen-specific T cell profiling at single cell level
N/A

Related publications

TitleDOIDataset ID
Multifaceted profiling of virus-specific CD8 T cells reveals distinct immune signatures against cytomegalovirus infection states during pregnancy
https://doi.org/10.1016/j.isci.2025.112416 (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