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Updated: May 4, 2026

Immunohistochemical Detection of 5-Methylcytosine and 5-Hydroxymethylcytosine in Developing and Postmitotic Mouse Retina

Immunohistochemical Detection of 5-Methylcytosine and 5-Hydroxymethylcytosine in Developing and Postmitotic Mouse Retina

Published on: August 29, 2018

DevMouse, the mouse developmental methylome database and analysis tools.

Hongbo Liu¹, Rangfei Zhu, Jie Lv

¹Department of Developmental Biology, School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China, Department of Computational Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China, Department of Food Science, School of Food Science and Engineering, Harbin Institute of Technology, Harbin 150001, China and Department of Respiratory Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.

Database : the Journal of Biological Databases and Curation

|January 11, 2014

Summary

DevMouse is a new database for mouse DNA methylomes, offering temporal data and analysis tools. It helps researchers explore DNA methylation dynamics during mouse development.

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Area of Science:

Epigenetics
Developmental Biology
Bioinformatics

Background:

DNA methylation dynamics are critical for mouse development, including embryogenesis and cell-lineage determination.
Profiling mouse developmental methylomes using bisulfite sequencing generates large datasets that are challenging to integrate and analyze.
Experimental biologists require efficient tools for storing and mining temporal DNA methylation data.

Purpose of the Study:

To develop DevMouse, a database for efficient storage and quantitative analysis of DNA methylomes during mouse development.
To provide a platform for exploring the temporal order and dynamics of DNA methylation across various developmental stages.
To facilitate in-depth data mining and visualization of mouse developmental methylomes.

Main Methods:

Development of DevMouse database for temporal storage of DNA methylomes.
Incorporation of 32 normalized and temporally ordered methylomes across 15 developmental stages.
Implementation of a flexible query engine and online analysis tools for methylation profiling and variation quantification.
Integration of MethyBrowser for base-resolution methylome visualization.

Main Results:

DevMouse hosts 32 normalized mouse developmental methylomes across 15 stages.
Includes tools for querying methylation profiles of genes, miRNAs, lncRNAs, and genomic intervals.
Provides online analysis for methylation variation, differential methylation, clustering, and functional annotation.
Offers MethyBrowser for viewing base-resolution methylomes in genomic context.

Conclusions:

DevMouse provides a comprehensive resource for mouse developmental methylome data.
The database and associated tools enable efficient exploration of DNA methylation dynamics during development.
Facilitates research into the relationships between epigenetics and developmental processes in mice.