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Quantifying topography-guided actin dynamics across scales using optical flow.

Rachel M Lee1,2, Leonard Campanello3, Matt J Hourwitz4

  • 1Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742.

Molecular Biology of the Cell
|February 6, 2020
PubMed
Summary
This summary is machine-generated.

Researchers studied actin dynamics in different cell types using nanotopography. Actin waves were guided similarly by the surface, revealing insights into cell migration and mechanotransduction.

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Area of Science:

  • Cell Biology
  • Biophysics
  • Materials Science

Background:

  • Actin cytoskeleton dynamics are crucial for cellular force generation and mechanotransduction.
  • Cell migration modes vary significantly between cell types, impacting their physiological roles.

Purpose of the Study:

  • To compare actin dynamics in two distinct cell types (MCF10A and HL60) using nanotopography.
  • To investigate the guidance of actin waves (esotaxis) by periodic surface features mimicking collagen fibers.
  • To quantitatively measure and compare actin wave speed and direction at submicron and micron scales.

Main Methods:

  • Utilized periodic surface topographies with feature sizes comparable to in vivo collagen fibers.
  • Adapted a computer-vision algorithm (optical flow) to measure submicron-scale actin wave directions.
  • Clustered optical flow data to enable micron-scale measurements of actin wave speed and direction.

Main Results:

  • Both MCF10A and HL60 cells showed reproducible guidance of actin waves (esotaxis) on the nanotopographies.
  • Actin wave speed and morphology differed between the two cell types.
  • The underlying mechanism of actin guidance by nanotopography was consistent across both cell types at multiple scales.

Conclusions:

  • Nanotopography effectively guides actin dynamics in diverse cell types, providing a platform for comparative studies.
  • Despite differences in migratory behavior, fundamental actin wave guidance mechanisms are conserved.
  • This study offers quantitative insights into cell-material interactions and mechanotransduction pathways.