Engineering tools for quantifying and manipulating forces in epithelia

Author:

Dow Liam P.12ORCID,Parmar Toshi3ORCID,Marchetti M. Cristina23ORCID,Pruitt Beth L.124ORCID

Affiliation:

1. Mechanical Engineering, University of California Santa Barbara 1 , Santa Barbara, California 93106, USA

2. Biomolecular Science and Engineering, University of California Santa Barbara 2 , Santa Barbara, California 93106, USA

3. Department of Physics, University of California Santa Barbara 3 , Santa Barbara, California 93106, USA

4. Biological Engineering, University of California Santa Barbara 4 , Santa Barbara, California 93106, USA

Abstract

The integrity of epithelia is maintained within dynamic mechanical environments during tissue development and homeostasis. Understanding how epithelial cells mechanosignal and respond collectively or individually is critical to providing insight into developmental and (patho)physiological processes. Yet, inferring or mimicking mechanical forces and downstream mechanical signaling as they occur in epithelia presents unique challenges. A variety of in vitro approaches have been used to dissect the role of mechanics in regulating epithelia organization. Here, we review approaches and results from research into how epithelial cells communicate through mechanical cues to maintain tissue organization and integrity. We summarize the unique advantages and disadvantages of various reduced-order model systems to guide researchers in choosing appropriate experimental systems. These model systems include 3D, 2D, and 1D micromanipulation methods, single cell studies, and noninvasive force inference and measurement techniques. We also highlight a number of in silico biophysical models that are informed by in vitro and in vivo observations. Together, a combination of theoretical and experimental models will aid future experiment designs and provide predictive insight into mechanically driven behaviors of epithelial dynamics.

Funder

Institute for Collaborative Biotechnologies

National Science Foundation

Publisher

AIP Publishing

Subject

General Medicine

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