Plant Hormones pp 99-123

Part of the Methods in Molecular Biology book series (MIMB, volume 1497)

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In Silico Methods for Cell Annotation, Quantification of Gene Expression, and Cell Geometry at Single-Cell Resolution Using 3DCellAtlas

Protocol

Abstract

A comprehensive understanding of plant growth and development requires the integration of the spatial and temporal dynamics of gene regulatory networks with changes in cellular geometry during 3D organ growth. 3DCellAtlas is an integrative computational pipeline that semi-automatically identifies cell type and position within radially symmetric plant organs, and simultaneously quantifies 3D cell anisotropy and reporter abundance at single-cell resolution. It is a powerful tool that generates digital single-cell cellular atlases of plant organs and enables 3D cell geometry and reporter abundance (gene/protein/biosensor) from multiple samples to be integrated at single-cell resolution across whole organs. Here we describe how to use 3DCellAtlas to process and analyze radially symmetric organs, and to identify cell types and extract geometric cell data within these 3D cellular datasets. We detail how to use two statistical tools in 3DCellAtlas to compare cellular geometries, and to analyze reporter abundance at single-cell resolution.

Key words

3DCellAtlas MorphoGraphX 3D imaging 3D image analysis Cell type identification 3D anisotropy Digital single-cell analysis 

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.School of BiosciencesUniversity of BirminghamBirminghamUK
  2. 2.Department of Comparative Development and GeneticsMax Planck Institute for Plant Breeding ResearchCologneGermany
  3. 3.School of MathematicsUniversity of BirminghamEdgbastonUK

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