Dynamic morphoskeletons in development

Mattia Serra, Sebastian Streichan, Manli Chuai, Cornelis J. Weijer, L. Mahadevan (Lead / Corresponding author)

Research output: Contribution to journalArticle

1 Citation (Scopus)
72 Downloads (Pure)

Abstract

Morphogenetic flows in developmental biology are characterized by the coordinated motion of thousands of cells that organize into tissues, naturally raising the question of how this collective organization arises. Using only the kinematics of tissue deformation, which naturally integrates local and global mechanisms along cell paths, we identify the dynamic morphoskeletons behind morphogenesis, i.e., the evolving centerpieces of multicellular trajectory patterns. These features are model- and parameter-free, frame-invariant, and robust to measurement errors and can be computed from unfiltered cell-velocity data. We reveal the spatial attractors and repellers of the embryo by quantifying its Lagrangian deformation, information that is inaccessible to simple trajectory inspection or Eulerian methods that are local and typically frame-dependent. Computing these dynamic morphoskeletons in wild-type and mutant chick and fly embryos, we find that they capture the early footprint of known morphogenetic features, reveal new ones, and quantitatively distinguish between different phenotypes.

Original languageEnglish
Article number11444
Pages (from-to)1-6
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume117
Issue number21
Early online date7 May 2020
DOIs
Publication statusPublished - 26 May 2020

Keywords

  • morphogenesis
  • cell motion
  • coherent structures
  • finite time Lyapunov exponent
  • Morphogenesis
  • Finite time Lyapunov exponent
  • Cell motion
  • Coherent structures

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