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3D Micropatterned Traction Force Microscopy: A Technique to Control 3D Cell Shape While Measuring Cell‐Substrate Force Transmission

Authors: Faure, Laura M.; Gómez González, Manuel; Baguer, Ona; Comelles, Jordi; Martínez Fraiz, Elena; Arroyo Balaguer, Marino; Trepat Guixer, Xavier; +1 Authors

3D Micropatterned Traction Force Microscopy: A Technique to Control 3D Cell Shape While Measuring Cell‐Substrate Force Transmission

Abstract

AbstractCell shape and function are intimately linked, in a way that is mediated by the forces exerted between cells and their environment. The relationship between cell shape and forces has been extensively studied for cells seeded on flat 2D substrates, but not for cells in more physiological 3D settings. Here, a technique called 3D micropatterned traction force microscopy (3D‐µTFM) to confine cells in 3D wells of defined shape, while simultaneously measuring the forces transmitted between cells and their microenvironment is demonstrated. This technique is based on the 3D micropatterning of polyacrylamide wells and on the calculation of 3D traction force from their deformation. With 3D‐µTFM, it is shown that MCF10A breast epithelial cells exert defined, reproducible patterns of forces on their microenvironment, which can be both contractile and extensile. Cells switch from a global contractile to extensile behavior as their volume is reduced are further shown. The technique enables the quantitative study of cell mechanobiology with full access to 3D cellular forces while having accurate control over cell morphology and the mechanical conditions of the microenvironment.

Keywords

Biomathematics, Anàlisi numèrica, 570, Biomatemàtica, Science, Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica, traction forces, Q, Cell Culture Techniques, 610, cytoskeleton, Epithelial Cells, simulation and stochastic differential equations, Classificació AMS::92 Biology and other natural sciences::92B Mathematical biology in general, Numerical analysis--Simulation methods, Microscopy, Atomic Force, Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations, micro‐wells, Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències, cell volumes, Classificació AMS::65 Numerical analysis::65C Probabilistic methods, Humans, Cell Culture Techniques, Three Dimensional, Cell Shape, Research Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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