ArticlePLoS computational biology2018
Profiling cellular morphodynamics by spatiotemporal spectrum decomposition.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 46 citations in OpenAlex.
- Article
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- Piezo1-mediated mechano-energetics regulate CAR T cell function.Research square · 2025Article
- Cell-mechanical parameter estimation from 1D cell trajectories using simulation-based inference.PloS one · 2025Article
- Profiling Dynamic Patterns of Single-Cell Motility.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Mechanical Constraints in Tumor Guide Emergent Spatial Patterns of Glioblastoma Cancer Stem Cells.Mechanobiology in medicine · 2024Article
- Aging-associated decline in vascular smooth muscle cell mechanosensation is mediated by Piezo1 channel.Aging cell · 2024Article
- Nascent adhesions shorten the period of lamellipodium protrusion through the Brownian ratchet mechanism.Molecular biology of the cell · 2023Article
- Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2023Article
- Morphodynamical cell state description via live-cell imaging trajectory embedding.Communications biology · 2023Article
- Fine-grained, nonlinear registration of live cell movies reveals spatiotemporal organization of diffuse molecular processes.PLoS computational biology · 2022Article
- Protocol for live cell image segmentation to profile cellular morphodynamics using MARS-Net.STAR protocols · 2022Article
- Granger-causal inference of the lamellipodial actin regulator hierarchy by live cell imaging without perturbation.Cell systems · 2022Article
- Cell Trafficking at the Intersection of the Tumor-Immune Compartments.Annual review of biomedical engineering · 2022Review
- Leading edge maintenance in migrating cells is an emergent property of branched actin network growth.eLife · 2022Article
- Microskeletal stiffness promotes aortic aneurysm by sustaining pathological vascular smooth muscle cell mechanosensation via Piezo1.Nature communications · 2022Article
- A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy.Cell reports methods · 2021Article
- Comparative mapping of crawling-cell morphodynamics in deep learning-based feature space.PLoS computational biology · 2021Article
- Emerging machine learning approaches to phenotyping cellular motility and morphodynamics.Physical biology · 2021Review
- Bioimage Analysis and Cell Motility.Patterns (New York, N.Y.) · 2021Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.