ArticleMethods in molecular biology (Clifton, N.J.)2018
EdgeProps: A Computational Platform for Correlative Analysis of Cell Dynamics and Near-Edge Protein Activity.
Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Real-time semantic segmentation and anomaly detection of functional images for cell therapy manufacturing.Cytotherapy · 2023Article
- Quantifying protrusions as tumor-specific biophysical predictors of cancer invasion in in vitro tumor micro-spheroid models.In vitro models · 2022Article
- Regulation of local GTP availability controls RAC1 activity and cell invasion.Nature communications · 2021Article
- Light-regulated allosteric switch enables temporal and subcellular control of enzyme activity.eLife · 2020Article
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5 authors.
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Abstract
Developing molecular tools to visualize and control Rho GTPase signaling in living cells has been instrumental in elucidating the mechanisms of cytoskeletal reorganization and causal relationships between activation events in cell function. An indispensable part of such studies is the quantitative characterization of the spatiotemporal GTPase activity. Here we present a computational pipeline, EdgeProps, designed for comparative/correlative analysis of cell dynamics (edge velocity) and near-edge protein activity (intensity of a fluorescent signal). The tool offers a user-friendly interface with three functional modules for processing, visualization, and statistical characterization of single-cell imaging data.
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