SEGGA: a toolset for rapid automated analysis of epithelial cell polarity and dynamics

Development. 2017 May 1;144(9):1725-1734. doi: 10.1242/dev.146837.

Abstract

Epithelial remodeling determines the structure of many organs in the body through changes in cell shape, polarity and behavior and is a major area of study in developmental biology. Accurate and high-throughput methods are necessary to systematically analyze epithelial organization and dynamics at single-cell resolution. We developed SEGGA, an easy-to-use software for automated image segmentation, cell tracking and quantitative analysis of cell shape, polarity and behavior in epithelial tissues. SEGGA is free, open source, and provides a full suite of tools that allow users with no prior computational expertise to independently perform all steps of automated image segmentation, semi-automated user-guided error correction, and data analysis. Here we use SEGGA to analyze changes in cell shape, cell interactions and planar polarity during convergent extension in the Drosophila embryo. These studies demonstrate that planar polarity is rapidly established in a spatiotemporally regulated pattern that is dynamically remodeled in response to changes in cell orientation. These findings reveal an unexpected plasticity that maintains coordinated planar polarity in actively moving populations through the continual realignment of cell polarity with the tissue axes.

Keywords: Cell tracking; Convergent extension; Drosophila; Epithelia; Image segmentation; Morphogenesis; Planar polarity.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Automation
  • Cell Polarity*
  • Cell Shape
  • Cell Tracking
  • Cytological Techniques / methods*
  • Drosophila melanogaster / cytology
  • Drosophila melanogaster / embryology
  • Embryo, Nonmammalian / cytology
  • Epithelial Cells / cytology*
  • Epithelial Cells / metabolism
  • Genotype
  • Image Processing, Computer-Assisted
  • Software*