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A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development
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Exploring spatial patterns of gene expression from fruit fly embryogenesis on the iPhone.

Sudhir Kumar1, Kelly Boccia, Michael McCutchan

  • 1Center for Evolutionary Medicine and Informatics, Biodesign Institute, Arizona State University (ASU), Tempe, AZ 85287-5301, USA. s.kumar@asu.edu

Bioinformatics (Oxford, England)
|August 28, 2012
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Summary

The new FlyExpress mobile app provides access to over 100,000 images of gene expression patterns in fruit fly embryos. This tool aids researchers in visualizing and comparing Drosophila melanogaster gene expression during development.

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Area of Science:

  • Developmental Biology
  • Genomics
  • Bioinformatics

Background:

  • Mobile technologies offer novel avenues for disseminating scientific data.
  • Standardized in situ hybridization images are crucial for understanding gene expression.

Purpose of the Study:

  • To develop a user-friendly mobile application, FlyExpress, for accessing and visualizing Drosophila melanogaster gene expression data.
  • To facilitate the comparison of spatial gene expression patterns during fruit fly embryogenesis.

Main Methods:

  • Development of the FlyExpress mobile application.
  • Aggregation and standardization of over 100,000 in situ hybridization images.
  • Implementation of features for visualizing gene expression across developmental stages and projections.

Main Results:

  • The FlyExpress app provides access to spatial patterns for over 4,000 developmentally relevant genes.
  • Users can visualize and compare gene expression patterns for different visual projections and developmental stages.
  • The application facilitates the tracking of a gene's spatial expression progression over time.

Conclusions:

  • The FlyExpress app enhances accessibility to crucial Drosophila melanogaster gene expression data.
  • This mobile tool supports immediate visual comparisons for laboratory research and scientific discussions.
  • The application aims to streamline the study of gene function and developmental processes in fruit flies.