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Updated: Apr 23, 2026

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis

Published on: March 19, 2021

Simulating tissue morphogenesis and signaling.

Dagmar Iber¹, Simon Tanaka, Patrick Fried

¹Department for Biosystems Science and Engineering (D-BSSE), ETH Zurich, Mattenstrasse 26, 4058, Basel, Switzerland, dagmar.iber@bsse.ethz.ch.

Methods in Molecular Biology (Clifton, N.J.)

|September 24, 2014

Summary

This summary is machine-generated.

Simulating embryonic development requires integrating tissue morphogenesis and signaling. This chapter explores various computational models, from continuous domains to agent-based approaches, for in silico developmental studies.

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Area of Science:

Developmental Biology
Computational Biology
Biophysics

Background:

Tissue morphogenesis and signaling are intrinsically linked during embryonic development.
Accurate in silico models must capture this coupling for developmental process simulation.

Purpose of the Study:

To introduce and compare diverse computational modeling approaches for simulating tissue morphogenesis and signaling.
To highlight the importance of model resolution based on research questions.

Main Methods:

Review of different tissue modeling strategies: continuous domain approximations (prescribed growth), fluid dynamics (Navier-Stokes equations), cell-based models, and agent-based models.
Discussion of incorporating signaling variables and cellular processes (expansion, proliferation, death) into these models.

Main Results:

Different modeling approaches offer varying levels of detail and applicability for simulating embryonic development.
Prescribed growth models offer simplicity, while Navier-Stokes, cell-based, and agent-based models provide increasing biological realism.

Conclusions:

The choice of computational model for embryonic development simulation depends on the specific biological question and required resolution.
Integrating tissue morphogenesis and signaling within a unified modeling framework is crucial for understanding developmental processes.