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DBTMEE: a database of transcriptome in mouse early embryos.
Sung-Joon Park1, Katsuhiko Shirahige2, Miho Ohsugi3
1Human Genome Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Nucleic Acids Research
|October 23, 2014
Summary
The DBTMEE database integrates mouse early embryo gene expression data with public resources. This tool aids researchers in exploring cell differentiation and fertilization dynamics.
Area of Science:
- Developmental Biology
- Genomics
- Bioinformatics
Background:
- Studying early embryogenesis is challenging due to difficulties in sample collection.
- Integrative analysis of multiple public datasets is crucial for understanding complex biological processes like embryogenesis.
Purpose of the Study:
- To introduce DBTMEE, a database for manipulating gene expression information from mouse early embryo whole-transcriptome analysis.
- To provide an integrated gateway for researchers studying embryogenesis.
Main Methods:
- Collected ultralarge-scale whole-transcriptome data from mouse early embryos.
- Integrated gene expression profiles with various public biological resources.
- Developed user-friendly web interfaces for data access.
Main Results:
- DBTMEE offers searchable and browsable gene expression data.
- The database allows investigation of molecular, genetic, and epigenetic characteristics across cell types.
- Facilitates easy and quick data access for the research community.
Conclusions:
- DBTMEE serves as a valuable resource for studying cell differentiation in early mouse embryos.
- The integrated approach enhances the understanding of fertilization dynamics and developmental processes.
- Promotes collaborative research in developmental biology through accessible data.
