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Shifting the optimal stiffness for cell migration

Author

Listed:
  • Benjamin L. Bangasser

    (University of Minnesota)

  • Ghaidan A. Shamsan

    (University of Minnesota)

  • Clarence E. Chan

    (University of Minnesota)

  • Kwaku N. Opoku

    (University of Minnesota)

  • Erkan Tüzel

    (University of Minnesota
    Present address: Department of Physics, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609, USA)

  • Benjamin W. Schlichtmann

    (University of Minnesota)

  • Jesse A. Kasim

    (University of Minnesota)

  • Benjamin J. Fuller

    (University of Minnesota)

  • Brannon R. McCullough

    (University of Minnesota
    Present address: Department of Chemistry and Biochemistry, Northern Arizona University, 700 S. Osborne Drive, Flagstaff, Arizona 86011, USA)

  • Steven S. Rosenfeld

    (Brain Tumor and Neuro-Oncology Center, Cleveland Clinic)

  • David J. Odde

    (University of Minnesota)

Abstract

Cell migration, which is central to many biological processes including wound healing and cancer progression, is sensitive to environmental stiffness, and many cell types exhibit a stiffness optimum, at which migration is maximal. Here we present a cell migration simulator that predicts a stiffness optimum that can be shifted by altering the number of active molecular motors and clutches. This prediction is verified experimentally by comparing cell traction and F-actin retrograde flow for two cell types with differing amounts of active motors and clutches: embryonic chick forebrain neurons (ECFNs; optimum ∼1 kPa) and U251 glioma cells (optimum ∼100 kPa). In addition, the model predicts, and experiments confirm, that the stiffness optimum of U251 glioma cell migration, morphology and F-actin retrograde flow rate can be shifted to lower stiffness by simultaneous drug inhibition of myosin II motors and integrin-mediated adhesions.

Suggested Citation

  • Benjamin L. Bangasser & Ghaidan A. Shamsan & Clarence E. Chan & Kwaku N. Opoku & Erkan Tüzel & Benjamin W. Schlichtmann & Jesse A. Kasim & Benjamin J. Fuller & Brannon R. McCullough & Steven S. Rosenf, 2017. "Shifting the optimal stiffness for cell migration," Nature Communications, Nature, vol. 8(1), pages 1-10, August.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15313
    DOI: 10.1038/ncomms15313
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    Cited by:

    1. Matthew R. Pawlak & Adam T. Smiley & Maria Paz Ramirez & Marcus D. Kelly & Ghaidan A. Shamsan & Sarah M. Anderson & Branden A. Smeester & David A. Largaespada & David J. Odde & Wendy R. Gordon, 2023. "RAD-TGTs: high-throughput measurement of cellular mechanotype via rupture and delivery of DNA tension probes," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Rahmetullah Varol & Zeynep Karavelioglu & Sevde Omeroglu & Gizem Aydemir & Aslihan Karadag & Hanife E. Meco & Ali A. Demircali & Abdurrahim Yilmaz & Gizem C. Kocal & Gulsum Gencoglan & Muhammed E. Oru, 2022. "Acousto-holographic reconstruction of whole-cell stiffness maps," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Avery Parr & Nicholas R Anderson & Daniel A Hammer, 2019. "A simulation of the random and directed motion of dendritic cells in chemokine fields," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-16, October.

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