作者: Xiao Ma , Onur Dagliyan , Klaus M. Hahn , Gaudenz Danuser
DOI: 10.1371/JOURNAL.PCBI.1006321
关键词:
摘要: Cellular morphology and associated morphodynamics are widely used for qualitative quantitative assessments of cell state. Here we implement a framework to profile cellular based on an adaptive decomposition local 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 distributions, though they have markedly heterogeneous mobility. Distinctions in edge between these captured predominantly differences magnitude frequencies. We found acute photo-inhibition Vav2 guanine exchange factor, activator Rho family signaling proteins coordinating motility, produces significant shifts distribution, but does not affect magnitude. therefore concluded spectrum encodes wiring circuitry regulates movements, whereas captures activation level circuitry. also HHT as multi-scale spatiotemporal features statistical region merging identify subcellular regions distinct behavior. In line our conclusion different relate regimes, indeed exhibit Rac1 activities. This algorithm thus can serve accurate sensitive classifier pinpoint spatial temporal boundaries regimes.