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Laser Capture Microdissection of Mouse Embryonic Cartilage and Bone for Gene Expression Analysis
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EMAGE: Electronic Mouse Atlas of Gene Expression.

Lorna Richardson1, Peter Stevenson, Shanmugasundaram Venkataraman

  • 1MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.

Methods in Molecular Biology (Clifton, N.J.)
|December 10, 2013
PubMed
Summary

The EMAGE database provides spatial query capabilities for mouse gene expression patterns during development. It integrates data from various sources, enabling researchers to explore gene expression spatially and textually.

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Area of Science:

  • Developmental Biology
  • Bioinformatics
  • Genomics

Background:

  • Understanding spatiotemporal gene expression is crucial for deciphering developmental processes.
  • Existing databases often lack integrated spatial query functionalities for complex biological data.

Purpose of the Study:

  • To introduce the EMAGE (Electronic Mouse Atlas of Gene Expression) database as a resource for exploring mouse developmental gene expression.
  • To enable spatial and text-based queries of gene expression patterns.

Main Methods:

  • Data curation by experts using specialized mapping software.
  • Integration of gene expression data from literature, large-scale screens, and direct submissions.
  • Spatial representation of data mapped onto 3D mouse embryo models.

Main Results:

  • EMAGE offers integrated spatial and text-based querying of mouse gene expression.
  • The database facilitates comparisons of spatial similarity between expression patterns.
  • Data is curated for accuracy and completeness, enhancing data reliability.

Conclusions:

  • EMAGE serves as a valuable, free, online community resource for researchers studying mouse development.
  • The spatial querying capabilities advance the analysis of gene expression patterns.
  • The database supports diverse query methods, including computational script-based access.