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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Acknowledgments
This work was supported by US Army Research Office (ARO) Grant W911NF-17-1-0395 to DT and US Army Research Office (ARO) Grant W911NF-15-1-0631 to TE and KH.
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Zhurikhina, A., Qi, T., Hahn, K.M., Elston, T.C., Tsygankov, D. (2018). EdgeProps: A Computational Platform for Correlative Analysis of Cell Dynamics and Near-Edge Protein Activity. In: Rivero, F. (eds) Rho GTPases. Methods in Molecular Biology, vol 1821. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8612-5_4
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DOI: https://doi.org/10.1007/978-1-4939-8612-5_4
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