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Development. 2014 Jul;141(14):2895-900. doi: 10.1242/dev.107730. Epub 2014 Jun 19.

Quantitative 4D analyses of epithelial folding during Drosophila gastrulation.

Author information

  • 1Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA zia@cs.umd.edu kaschube@fias.uni-frankfurt.de.
  • 2RIKEN Center for Developmental Biology, 2-2-3 Minatojima-minamimachi, Chuo-ku, Kobe-shi, Hyogo-ken 650-0047, Japan Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA The Howard Hughes Medical Institute, Moffett Laboratory 435, Princeton University, Princeton, NJ 08544, USA.
  • 3Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA The Howard Hughes Medical Institute, Moffett Laboratory 435, Princeton University, Princeton, NJ 08544, USA.
  • 4Frankfurt Institute for Advanced Studies, Faculty of Computer Science and Mathematics, Goethe University, Frankfurt am Main D-60438, Germany zia@cs.umd.edu kaschube@fias.uni-frankfurt.de.

Abstract

Understanding the cellular and mechanical processes that underlie the shape changes of individual cells and their collective behaviors in a tissue during dynamic and complex morphogenetic events is currently one of the major frontiers in developmental biology. The advent of high-speed time-lapse microscopy and its use in monitoring the cellular events in fluorescently labeled developing organisms demonstrate tremendous promise in establishing detailed descriptions of these events and could potentially provide a foundation for subsequent hypothesis-driven research strategies. However, obtaining quantitative measurements of dynamic shapes and behaviors of cells and tissues in a rapidly developing metazoan embryo using time-lapse 3D microscopy remains technically challenging, with the main hurdle being the shortage of robust imaging processing and analysis tools. We have developed EDGE4D, a software tool for segmenting and tracking membrane-labeled cells using multi-photon microscopy data. Our results demonstrate that EDGE4D enables quantification of the dynamics of cell shape changes, cell interfaces and neighbor relations at single-cell resolution during a complex epithelial folding event in the early Drosophila embryo. We expect this tool to be broadly useful for the analysis of epithelial cell geometries and movements in a wide variety of developmental contexts.

© 2014. Published by The Company of Biologists Ltd.

KEYWORDS:

Cell shape analysis; Cell shape reconstruction; Cell tracking; Drosophila melanogaster; Epithelial folding; Live imaging

PMID:
24948599
[PubMed - indexed for MEDLINE]
PMCID:
PMC4197613
Free PMC Article
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