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A novel method for sensor-based quantification of single/multi-cellular traction dynamics and remodeling in 3D matrices

View ORCID ProfileBashar Emon, Zhengwei Li, Md Saddam Hossain Joy, Umnia Doha, Farhad Kosari, M Taher A Saif
doi: https://doi.org/10.1101/2020.09.24.311647
Bashar Emon
1Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL
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  • ORCID record for Bashar Emon
Zhengwei Li
1Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL
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Md Saddam Hossain Joy
1Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL
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Umnia Doha
1Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL
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Farhad Kosari
2Department of Molecular Medicine, Mayo Clinic, Rochester, MN
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M Taher A Saif
1Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL
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  • For correspondence: saif@illinois.edu
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Abstract

Cells in vivo generate mechanical forces (traction) on surrounding 3D extra cellular matrix (ECM) and cells. Such traction and biochemical cues may remodel the matrix, e.g. increase stiffness, which in turn influences cell functions and forces. This dynamic reciprocity mediates development and tumorigenesis. Currently, there is no method available to directly quantify single cell traction and matrix remodeling in 3D. Here, we introduce a method to fulfil this long-standing need. We developed a high-resolution microfabricated sensor which hosts a 3D cell-ECM tissue formed by self-assembly. It measures cell forces and tissue-stiffness and can apply mechanical stimulation to the tissue. We measured single and multicellular force dynamics of fibroblasts (3T3), human colon (FET) and lung (A549) cancer cells and cancer associated fibroblasts (CAF05) with 1 nN resolution. Single cells show significant force fluctuations in 3D. FET/CAF co-culture system, mimicking cancer tumor microenvironment, increased tissue stiffness by 3 times within 24 hours.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted September 25, 2020.
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A novel method for sensor-based quantification of single/multi-cellular traction dynamics and remodeling in 3D matrices
Bashar Emon, Zhengwei Li, Md Saddam Hossain Joy, Umnia Doha, Farhad Kosari, M Taher A Saif
bioRxiv 2020.09.24.311647; doi: https://doi.org/10.1101/2020.09.24.311647
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A novel method for sensor-based quantification of single/multi-cellular traction dynamics and remodeling in 3D matrices
Bashar Emon, Zhengwei Li, Md Saddam Hossain Joy, Umnia Doha, Farhad Kosari, M Taher A Saif
bioRxiv 2020.09.24.311647; doi: https://doi.org/10.1101/2020.09.24.311647

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