Rho GTPases pp 47-56 | Cite as

EdgeProps: A Computational Platform for Correlative Analysis of Cell Dynamics and Near-Edge Protein Activity

  • Anastasia Zhurikhina
  • Timothy Qi
  • Klaus M. Hahn
  • Timothy C. Elston
  • Denis TsygankovEmail author
Part of the Methods in Molecular Biology book series (MIMB, volume 1821)


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.

Key words

GTPase activity Image analysis Morphodynamics Protrusive activity Correlation 



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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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Anastasia Zhurikhina
    • 1
  • Timothy Qi
    • 2
  • Klaus M. Hahn
    • 2
    • 3
  • Timothy C. Elston
    • 2
  • Denis Tsygankov
    • 1
    Email author
  1. 1.Wallace H. Coulter Department of Biomedical EngineeringGeorgia Institute of Technology and Emory University School of MedicineAtlantaUSA
  2. 2.Department of PharmacologyThe University of North Carolina at Chapel HillChapel HillUSA
  3. 3.Lineberger Comprehensive Cancer CenterUniversity of North Carolina School of MedicineChapel HillUSA

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