Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer
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Lauffenburger_Quantitative analysis.pdf
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Author(s)
Hughes, Shannon Kay
Lauffenburger, Douglas A.
Date Issued
January 2012
Journal
Current Opinion in Cell Biology
Publisher
Elsevier
Citation
Hughes-Alford, Shannon K, and Douglas A Lauffenburger. “Quantitative Analysis of Gradient Sensing: Towards Building Predictive Models of Chemotaxis in Cancer.” Current Opinion in Cell Biology 24, no. 2 (April 2012): 284–291.
Version
Author's final manuscript
Abstract
Chemotaxis of tumor cells in response to a gradient of extracellular ligand is an important step in cancer metastasis. The heterogeneity of chemotactic responses in cancer has not been widely addressed by experimental or mathematical modeling techniques. However, recent advancements in chemoattractant presentation, fluorescent-based signaling probes, and phenotypic analysis paradigms provide rich sources for building data-driven relational models that describe tumor cell chemotaxis in response to a wide variety of stimuli. Here we present gradient sensing, and the resulting chemotactic behavior, in a ‘cue-signal-response’ framework and suggest methods for utilizing recently reported experimental methods in data-driven modeling ventures.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1016/j.ceb.2012.01.001
