Chapter title |
EdgeProps: A Computational Platform for Correlative Analysis of Cell Dynamics and Near-Edge Protein Activity
|
---|---|
Chapter number | 4 |
Book title |
Rho GTPases
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-8612-5_4 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8611-8, 978-1-4939-8612-5
|
Authors |
Anastasia Zhurikhina, Timothy Qi, Klaus M. Hahn, Timothy C. Elston, Denis Tsygankov, Zhurikhina, Anastasia, Qi, Timothy, Hahn, Klaus M., Elston, Timothy C., Tsygankov, Denis |
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. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 50% |
Student > Bachelor | 1 | 8% |
Lecturer > Senior Lecturer | 1 | 8% |
Professor | 1 | 8% |
Student > Master | 1 | 8% |
Other | 0 | 0% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 25% |
Chemistry | 2 | 17% |
Physics and Astronomy | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Unknown | 5 | 42% |