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Related Experiment Video

Updated: Oct 14, 2025

3D Analysis of Multi-cellular Responses to Chemoattractant Gradients

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Published on: May 24, 2019

Programming cell growth into different cluster shapes using diffusible signals.

Yipei Guo^1,2, Mor Nitzan¹, Michael P Brenner¹

¹John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of America.

Plos Computational Biology

|November 8, 2021

Summary

This summary is machine-generated.

Scientists developed a mathematical model to understand how cells form complex tissue structures. This research shows how diffusible signals can program cell growth for desired tissue morphology, guiding future synthetic biology applications.

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Area of Science:

Synthetic Biology
Mathematical Biology
Developmental Biology

Background:

Genetic engineering enables artificial genetic circuits for spatial gene expression.
Programming cellular behavior for specific tissue morphology remains a challenge.

Purpose of the Study:

To develop a mathematical model for understanding collective cell growth into diverse morphologies.
To investigate how diffusible signals can program cellular growth rates and tissue structure.

Main Methods:

Formulated a mathematical model analyzing cell clusters and diffusible signal secretion.
Investigated the role of growth regulators in controlling cellular protrusions.
Examined the relationship between signal diversity and achievable structure complexity.

Main Results:

A single growth inhibitor is insufficient for multiple protrusions; multiple inhibitors are required.
Different signal types can regulate the shape of protrusion tips.
The range of achievable structures scales with the number of distinct signals.

Conclusions:

Mathematical modeling provides a framework for designing regulatory circuits to achieve target tissue structures.
Diffusible signals offer a mechanism for programming complex cellular collectives.
This approach can guide the design of synthetic biological systems for tissue engineering.