Single-cell mechanical analysis and tension quantification via electrodeformation relaxation

Seyedsajad Moazzeni, Yasir Demiryurek, Miao Yu, David I. Shreiber, Jeffrey D. Zahn, Jerry W. Shan, Ramsey A. Foty, Liping Liu, and Hao Lin
Phys. Rev. E 103, 032409 – Published 23 March 2021

Abstract

The mechanical behavior and cortical tension of single cells are analyzed using electrodeformation relaxation. Four types of cells, namely, MCF-10A, MCF-7, MDA-MB-231, and GBM, are studied, with pulse durations ranging from 0.01 to 10 s. Mechanical response in the long-pulse regime is characterized by a power-law behavior, consistent with soft glassy rheology resulting from unbinding events within the cortex network. In the subsecond short-pulse regime, a single timescale well describes the process and indicates the naive tensioned (prestressed) state of the cortex with minimal force-induced alteration. A mathematical model is employed and the simple ellipsoidal geometry allows for use of an analytical solution to extract the cortical tension. At the shortest pulse of 0.01 s, tensions for all four cell types are on the order of 102 N/m.

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  • Received 9 September 2020
  • Revised 24 December 2020
  • Accepted 24 February 2021

DOI:https://doi.org/10.1103/PhysRevE.103.032409

©2021 American Physical Society

Physics Subject Headings (PhySH)

Physics of Living SystemsPolymers & Soft Matter

Authors & Affiliations

Seyedsajad Moazzeni1, Yasir Demiryurek1,*, Miao Yu1,†, David I. Shreiber2, Jeffrey D. Zahn2, Jerry W. Shan1, Ramsey A. Foty3, Liping Liu1,4, and Hao Lin1,‡

  • 1Department of Mechanical and Aerospace Engineering, Rutgers, The State University of New Jersey, 98 Brett Road, Piscataway, New Jersey 08854, USA
  • 2Department of Biomedical Engineering, Rutgers, The State University of New Jersey, 599 Taylor Road, Piscataway, New Jersey 08854, USA
  • 3Department of Surgery, Rutgers, The State University of New Jersey, 125 Patterson Street, New Brunswick, New Jersey 08901, USA
  • 4Department of Mathematics, Rutgers, The State University of New Jersey, 110 Frelinghuysen Road, Piscataway, New Jersey 08901, USA

  • *Present address: Department of Mechanical Engineering, Temple University, Philadelphia, PA 19122, USA.
  • Present address: Division of Data Analytics, Northern Medical Center, 14 Jason Place, Middletown, NY 10940, USA.
  • Corresponding author: hlin@rutgers.edu

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Issue

Vol. 103, Iss. 3 — March 2021

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