eMouseAtlas informatics: embryo atlas and gene expression database.

Area of Science:

• Developmental Biology
• Bioinformatics
• Imaging Science

Background:

• Developmental biology research heavily relies on image data from various embryonic stages.
• Curating and analyzing image-based developmental data presents unique challenges compared to sequence or text data.
• Understanding spatial gene expression is crucial for deciphering developmental processes.

Purpose of the Study:

• To create a comprehensive digital atlas of mouse embryo development.
• To provide a spatial framework for anatomical delineation and gene expression data archiving.
• To develop user-friendly tools for exploring developmental anatomy and gene expression.

Main Methods:

• Generation of 3D models of post-implantation mouse development using Karl Theiler's morphological staging system.
• Integration of in situ gene expression data into the EMAGE database.
• Development of web-based visualization tools, including IIP3D/X3DOM viewer and eHistology resource.

Main Results:

• Establishment of a unique online resource for mouse developmental biology.
• Enabled 3D visualization of anatomical structures and gene expression patterns within a web browser.
• Facilitated high-resolution cellular-level image visualization of histology sections.

Conclusions:

• The eMouseAtlas provides a valuable integrated resource for developmental biology research.
• Advanced visualization tools enhance the exploration of spatial gene expression and anatomical data.
• The project offers insights into the informatics required for managing and utilizing large-scale developmental imaging datasets.