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Related Experiment Video

Updated: Apr 7, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Morphogen Patterning in Dynamic Tissues.

Alex M Plum¹, Mattia Serra¹

¹Department of Physics, University of California San Diego, CA 92093, USA.

|April 6, 2026

Summary

This summary is machine-generated.

This study presents a new theoretical framework to understand how cell movements during embryogenesis influence morphogen transport and patterning in developing tissues. It reveals how tissue dynamics affect cell communication and fate.

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Last Updated: Apr 7, 2026

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Tracking Morphogenetic Tissue Deformations in the Early Chick Embryo

Tracking Morphogenetic Tissue Deformations in the Early Chick Embryo

Published on: October 17, 2011

Area of Science:

Developmental Biology
Theoretical Biology
Biophysics

Background:

Embryogenesis involves coordinated cell movements (morphogenesis) and chemical signaling (morphogen patterning).
These processes often occur simultaneously but are typically studied independently.
Existing models often assume static tissues, overlooking the impact of cell movement on pattern formation.

Purpose of the Study:

To develop a theoretical framework for analyzing morphogen patterning in dynamic, moving embryonic tissues.
To elucidate how cell movements (morphogenesis) mediate morphogen transport, compartmentalization, and signaling ranges.
To provide quantitative tools to assess the influence of tissue dynamics on developmental patterning.

Main Methods:

Recasting advection-reaction-diffusion equations within the moving reference frames of cells.
Developing a theoretical framework to analyze morphogen dynamics in deforming tissues.
Introducing two novel dimensionless numbers to quantify the effects of morphogenesis on transport.

Main Results:

Morphogenesis can enhance or impede morphogen transport; flow attractors facilitate diffusion, while repellers create barriers.
The framework formalizes cell-cell signaling ranges within dynamic tissues, clarifying communication possibilities.
New dimensionless numbers predict when and where tissue movement significantly impacts morphogen distribution.

Conclusions:

The developed framework effectively rationalizes morphogen patterning in dynamic embryonic tissues.
It enables the use of cell motion data to constrain developmental patterning models and mechanisms.
This work bridges the gap between studying tissue mechanics and chemical signaling in development.