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Profiling cellular morphodynamics by spatiotemporal spectrum decomposition.

Xiao Ma1, Onur Dagliyan2, Klaus M Hahn2

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Summary
This summary is machine-generated.

This study introduces a new method using the Hilbert-Huang transform (HHT) to analyze cell movement dynamics. The HHT method reveals distinct molecular signaling patterns underlying cellular morphodynamics.

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Area of Science:

  • Cell Biology
  • Biophysics
  • Quantitative Biology

Background:

  • Cellular morphology and morphodynamics are crucial for assessing cell states.
  • Existing methods for analyzing cell motion can be limited in their quantitative and qualitative assessments.

Purpose of the Study:

  • To develop and implement a novel framework for profiling cellular morphodynamics.
  • To analyze cell boundary motion using adaptive decomposition and frequency spectra.
  • To correlate morphodynamic features with underlying molecular signaling pathways.

Main Methods:

  • Utilized the Hilbert-Huang transform (HHT) for adaptive decomposition of local cell boundary motion into instantaneous frequency spectra.
  • Applied statistical region merging using HHT spectra as spatiotemporal features.
  • Investigated the effects of photo-inhibition of Vav2 guanine exchange factor on cell morphodynamics.

Main Results:

  • Spontaneously migrating cells exhibit consistent instantaneous frequency distributions despite heterogeneous mobility.
  • Frequency magnitude differentiates cell edge motion, while frequency distribution reflects molecular circuitry.
  • Photo-inhibition of Vav2 altered frequency distribution but not magnitude.
  • Identified subcellular regions with distinct morphodynamics correlating with specific Rac1 activities.

Conclusions:

  • The HHT frequency spectrum encodes the molecular circuitry regulating cell boundary movements.
  • The HHT frequency magnitude reflects the activation level of this circuitry.
  • This HHT-based algorithm accurately classifies cellular morphodynamics and identifies boundaries between signaling regimes.