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Multi-view light-sheet imaging and tracking with the MaMuT software reveals the cell lineage of a direct developing arthropod limb

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Item Type:Article
Title:Multi-view light-sheet imaging and tracking with the MaMuT software reveals the cell lineage of a direct developing arthropod limb
Creators Name:Wolff, C. and Tinevez, J.Y. and Pietzsch, T. and Stamataki, E. and Harich, B. and Guignard, L. and Preibisch, S. and Shorte, S. and Keller, P.J. and Tomancak, P. and Pavlopoulos, A.
Abstract:During development, coordinated cell behaviors orchestrate tissue and organ morphogenesis. Detailed descriptions of cell lineages and behaviors provide a powerful framework to elucidate the mechanisms of morphogenesis. To study the cellular basis of limb development, we imaged transgenic fluorescently-labeled embryos from the crustacean Parhyale hawaiensis with multi-view light-sheet microscopy at high spatiotemporal resolution over several days of embryogenesis. The cell lineage of outgrowing thoracic limbs was reconstructed at single-cell resolution with new software called Massive Multi-view Tracker (MaMuT). In silico clonal analyses suggested that the early limb primordium becomes subdivided into anterior-posterior and dorsal-ventral compartments whose boundaries intersect at the distal tip of the growing limb. Limb-bud formation is associated with spatial modulation of cell proliferation, while limb elongation is also driven by preferential orientation of cell divisions along the proximal-distal growth axis. Cellular reconstructions were predictive of the expression patterns of limb development genes including the BMP morphogen Decapentaplegic.
Keywords:Amphipoda, Cell Lineage, Computational Biology, Computer-Assisted Image Processing, Extremities, Fluorescence, Reporter Genes, Morphogenesis, Optical Imaging, Software, Spatio-Temporal Analysis, Staining and Labeling, Animals
Source:eLife
ISSN:2050-084X
Publisher:eLife Sciences Publications (U.K.)
Volume:7
Page Range:e34410
Date:29 March 2018
Official Publication:https://doi.org/10.7554/eLife.34410
PubMed:View item in PubMed
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https://edoc.mdc-berlin.de/16511/Preprint version

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