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Profiling cellular morphodynamics by spatiotemporal spectrum decomposition
- Source :
- PLoS Computational Biology, PLoS Computational Biology, Vol 14, Iss 8, p e1006321 (2018)
- Publication Year :
- 2018
- Publisher :
- Public Library of Science, 2018.
-
Abstract
- Cellular morphology and associated morphodynamics are widely used for qualitative and quantitative assessments of cell state. Here we implement a framework to profile cellular morphodynamics based on an adaptive decomposition of local cell boundary motion into instantaneous frequency spectra defined by the Hilbert-Huang transform (HHT). Our approach revealed that spontaneously migrating cells with approximately homogeneous molecular makeup show remarkably consistent instantaneous frequency distributions, though they have markedly heterogeneous mobility. Distinctions in cell edge motion between these cells are captured predominantly by differences in the magnitude of the frequencies. We found that acute photo-inhibition of Vav2 guanine exchange factor, an activator of the Rho family of signaling proteins coordinating cell motility, produces significant shifts in the frequency distribution, but does not affect frequency magnitude. We therefore concluded that the frequency spectrum encodes the wiring of the molecular circuitry that regulates cell boundary movements, whereas the magnitude captures the activation level of the circuitry. We also used HHT spectra as multi-scale spatiotemporal features in statistical region merging to identify subcellular regions of distinct motion behavior. In line with our conclusion that different HHT spectra relate to different signaling regimes, we found that subcellular regions with different morphodynamics indeed exhibit distinct Rac1 activities. This algorithm thus can serve as an accurate and sensitive classifier of cellular morphodynamics to pinpoint spatial and temporal boundaries between signaling regimes.<br />Author summary Many studies in cell biology employ global shape descriptors to probe mechanisms of cell morphogenesis. Here, we implement a framework in this paper to profile cellular morphodynamics very locally. We employ the Hilbert-Huang transform (HHT) to extract along the entire cell edge spectra of instantaneous edge motion frequency and magnitude and use them to classify overall cell behavior as well as subcellular edge sectors of distinct dynamics. We find in fibroblast-like COS7 cells that the marked heterogeneity in mobility of an unstimulated population is fully captured by differences in the magnitude spectra, while the frequency spectra are conserved between cells. Using optogenetics to acutely inhibit morphogenetic signaling pathways we find that these molecular shifts are reflected by changes in the frequency spectra but not in the magnitude spectra. After clustering cell edge sectors with distinct morphodynamics we observe in cells expressing a Rac1 activity biosensor that the sectors with different frequency spectra associate with different signaling intensity and dynamics. Together, these observations let us conclude that the frequency spectrum encodes the wiring of the molecular circuitry that regulates edge movements, whereas the magnitude captures the activation level of the circuitry.
- Subjects :
- 0301 basic medicine
Data Analysis
Light
Velocity
01 natural sciences
Spectral line
Cell Movement
Cell polarity
Chlorocebus aethiops
Guanine Nucleotide Exchange Factors
lcsh:QH301-705.5
Physics
Light Pulses
Ecology
Electromagnetic Radiation
Classical Mechanics
Cell Polarity
Detectors
Boundary motion
Cell Motility
Computational Theory and Mathematics
Homogeneous
Modeling and Simulation
Physical Sciences
COS Cells
Engineering and Technology
Biological system
Algorithms
Research Article
Statistical Distributions
Signal Transduction
Cell Physiology
Equipment
Cell Migration
Instantaneous phase
03 medical and health sciences
Cellular and Molecular Neuroscience
Motion
Spatio-Temporal Analysis
0103 physical sciences
Genetics
Animals
010306 general physics
Proto-Oncogene Proteins c-vav
Molecular Biology
Cell Shape
Ecology, Evolution, Behavior and Systematics
Spatial Analysis
Biology and Life Sciences
Cell Biology
Probability Theory
Frequency spectrum
030104 developmental biology
Biosensors
lcsh:Biology (General)
Cellular Morphology
Beach morphodynamics
Mathematics
Developmental Biology
Subjects
Details
- Language :
- English
- ISSN :
- 15537358 and 1553734X
- Volume :
- 14
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....fbda6c6de7185d28ebced619a2495888