DocumentCode
2529389
Title
Registering Drosophila embryos at cellular resolution to build a quantitative 3D atlas of gene expression patterns and morphology
Author
Fowlkes, C.C. ; Luengo Hendriks, C.L. ; Keranen, S.V.E. ; Biggin, M.D. ; Knowles, D.W. ; Sudar, D. ; Malik, J.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fYear
2005
fDate
8-12 Aug. 2005
Firstpage
354
Lastpage
357
Abstract
The Berkeley Drosophila Transcription Network Project is developing a suite of methods to convert volumetric data generated by confocal fluorescence microscopy into numerical three dimensional representations of gene expression at cellular resolution. One key difficulty is that fluorescence microscopy can only capture expression levels for a few gene products in a given animal. We report on a method for registering 3D expression data from different Drosophila embryos stained for overlapping subsets of gene products in order to build a composite atlas, ultimately containing co-expression information for thousands of genes. Our techniques have also allowed the discovery of a complex pattern of cell density across the blastula that changes over time and may play a role in gastrulation.
Keywords
biological techniques; biology computing; cellular biophysics; fluorescence; genetics; image registration; optical microscopes; 3D expression data registration; Berkeley Drosophila Transcription Network Project; Drosophila embryo; blastula; cell density; cellular resolution; confocal fluorescence microscopy; gastrulation; gene expression pattern; Animals; Bioinformatics; Cellular networks; Embryo; Fluorescence; Gene expression; Genomics; Microscopy; Morphology; Regulators;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Conference_Location
Stanford, CA, USA
Print_ISBN
0-7695-2442-7
Type
conf
DOI
10.1109/CSBW.2005.118
Filename
1540644
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