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Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
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Published on: April 30, 2019

Two-dimensional spatial patterning in developmental systems.

Keiko U Torii1

  • 1Department of Biology, and Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. ktorii@u.washington.edu

Trends in Cell Biology
|July 14, 2012
PubMed
Summary
This summary is machine-generated.

Plants and animals form complex tissues using different strategies. This review explores how plants generate functional tissue patterns, comparing their mechanisms to animals using Turing

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Area of Science:

  • Developmental biology
  • Comparative biology
  • Mathematical modeling

Background:

  • Multicellular organisms develop specialized tissues through cell-cell interactions.
  • Animal development relies on cell migration and lateral inhibition for tissue patterning.
  • Plants, lacking cell migration and apoptosis, face unique challenges in tissue pattern formation.

Purpose of the Study:

  • To deduce fundamental principles of de novo 2-D spatial tissue patterning.
  • To compare regulatory circuits governing tissue patterning in plants and animals.
  • To identify similarities and differences in basic pattern formation principles.

Main Methods:

  • Review of existing literature on 2-D tissue patterning in plants and animals.
  • Application of Turing's mathematical framework to classic patterning examples.
  • Comparative analysis of regulatory circuits.

Main Results:

  • Turing's framework provides a basis for understanding de novo pattern formation.
  • Distinct mechanisms exist for achieving spatial patterns in plants and animals.
  • Comparative analysis reveals conserved and divergent principles in tissue development.

Conclusions:

  • Fundamental principles of tissue patterning can be elucidated by comparing plant and animal systems.
  • Understanding these principles offers insights into developmental biology and evolutionary strategies.
  • Mathematical models like Turing's are crucial for deciphering complex biological patterns.