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Light-driven biological actuators to probe the rheology of 3D microtissues

Author

Listed:
  • Adrien Méry

    (University Grenoble Alpes)

  • Artur Ruppel

    (University Grenoble Alpes)

  • Jean Revilloud

    (University Grenoble Alpes)

  • Martial Balland

    (University Grenoble Alpes)

  • Giovanni Cappello

    (University Grenoble Alpes)

  • Thomas Boudou

    (University Grenoble Alpes)

Abstract

The mechanical properties of biological tissues are key to their physical integrity and function. Although external loading or biochemical treatments allow the estimation of these properties globally, it remains difficult to assess how such external stimuli compare with cell-generated contractions. Here we engineer microtissues composed of optogenetically-modified fibroblasts encapsulated within collagen. Using light to control the activity of RhoA, a major regulator of cellular contractility, we induce local contractions within microtissues, while monitoring microtissue stress and strain. We investigate the regulation of these local contractions and their spatio-temporal distribution. We demonstrate the potential of our technique for quantifying tissue elasticity and strain propagation, before examining the possibility of using light to create and map local anisotropies in mechanically heterogeneous microtissues. Altogether, our results open an avenue to guide the formation of tissues while non-destructively charting their rheology in real time, using their own constituting cells as internal actuators.

Suggested Citation

  • Adrien Méry & Artur Ruppel & Jean Revilloud & Martial Balland & Giovanni Cappello & Thomas Boudou, 2023. "Light-driven biological actuators to probe the rheology of 3D microtissues," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36371-w
    DOI: 10.1038/s41467-023-36371-w
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    References listed on IDEAS

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    3. Garcia, Damien, 2010. "Robust smoothing of gridded data in one and higher dimensions with missing values," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 1167-1178, April.
    4. Patrick W. Oakes & Elizabeth Wagner & Christoph A. Brand & Dimitri Probst & Marco Linke & Ulrich S. Schwarz & Michael Glotzer & Margaret L. Gardel, 2017. "Optogenetic control of RhoA reveals zyxin-mediated elasticity of stress fibres," Nature Communications, Nature, vol. 8(1), pages 1-12, August.
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