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Citation
Frise, E., Hammonds, A.S., Celniker, S.E. (2010). Systematic image-driven analysis of the spatial Drosophila embryonic expression landscape.  Mol. Syst. Biol. 6(): 345.
FlyBase ID
FBrf0209738
Publication Type
Research paper
Abstract

Discovery of temporal and spatial patterns of gene expression is essential for understanding the regulatory networks and development in multicellular organisms. We analyzed the images from our large-scale spatial expression data set of early Drosophila embryonic development and present a comprehensive computational image analysis of the expression landscape. For this study, we created an innovative virtual representation of embryonic expression patterns using an elliptically shaped mesh grid that allows us to make quantitative comparisons of gene expression using a common frame of reference. Demonstrating the power of our approach, we used gene co-expression to identify distinct expression domains in the early embryo; the result is surprisingly similar to the fate map determined using laser ablation. We also used a clustering strategy to find genes with similar patterns and developed new analysis tools to detect variation within consensus patterns, adjacent non-overlapping patterns, and anti-correlated patterns. Of the 1800 genes investigated, only half had previously assigned functions. The known genes suggest developmental roles for the clusters, and identification of related patterns predicts requirements for co-occurring biological functions.

PubMed ID
PubMed Central ID
PMC2824522 (PMC) (EuropePMC)
Related Publication(s)
Website

BDGP insitu homepage
Fisher et al., 2012, BDGP insitu homepage [FBrf0219073]

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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Mol. Syst. Biol.
    Title
    Molecular Systems Biology
    Publication Year
    2005-
    ISBN/ISSN
    1744-4292
    Data From Reference