4.5 Article

Predicting Confined 1D Cell Migration from Parameters Calibrated to a 2D Motor-Clutch Model

Journal

BIOPHYSICAL JOURNAL
Volume 118, Issue 7, Pages 1709-1720

Publisher

CELL PRESS
DOI: 10.1016/j.bpj.2020.01.048

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Funding

  1. National Science Foundation (NSF) through the National Nano Coordinated Infrastructure network [ECCS-1542202]
  2. 3M Science & Technology Fellowship
  3. NSF Graduate Research Fellowship [0039202]
  4. Undergraduate Research Opportunities Program through the University of Minnesota
  5. NSF Graduate Research Opportunities Worldwide grant
  6. STEM Chateaubriand Fellowship
  7. Association Nationale pour la Recherche grant [ANR-16-CE13-0009]
  8. European Research Council [311205]
  9. National Institutes of Health [U54 CA210190, R01 CA172986]
  10. European Research Council (ERC) [311205] Funding Source: European Research Council (ERC)
  11. Agence Nationale de la Recherche (ANR) [ANR-16-CE13-0009] Funding Source: Agence Nationale de la Recherche (ANR)

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Biological tissues contain micrometer-scale gaps and pores, including those found within extracellular matrix fiber networks, between tightly packed cells, and between blood vessels or nerve bundles and their associated basement membranes. These spaces restrict cell motion to a single-spatial dimension (1D), a feature that is not captured in traditional in vitro cell migration assays performed on flat, unconfined two-dimensional (2D) substrates. Mechanical confinement can variably influence cell migration behaviors, and it is presently unclear whether the mechanisms used for migration in 2D unconfined environments are relevant in 1D confined environments. Here, we assessed whether a cell migration simulator and associated parameters previously measured for cells on 2D unconfined compliant hydrogels could predict 1D confined cell migration in microfluidic channels. We manufactured microfluidic devices with narrow channels (60-mu m(2) rectangular cross-sectional area) and tracked human glioma cells that spontaneously migrated within channels. Cell velocities (v(exp) = 0.51 + 0.02 mu m min(-1)) were comparable to brain tumor expansion rates measured in the clinic. Using motor-clutch model parameters estimated from cells on unconfined 2D planar hydrogel substrates, simulations predicted similar migration velocities (v(sim) = 0.37 + 0.04 mu m min(-1)) and also predicted the effects of drugs targeting the motor-clutch system or cytoskeletal assembly. These results are consistent with glioma cells utilizing a motor-clutch system to migrate in confined environments.

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