Abstract
This paper investigates the dynamics of cell migration, which is the movement of a cell towards a certain target area. More specifically, the objective is to analyze the causal interdependence between cellular-morphological events and molecular-signaling events. To this end, a novel data analysis method is developed: first the local morphological changes and molecular signaling events are determined by means of edge evolution tracking (EET), next the interdependence of those events is quantified through the method of stochastic event synchrony (SES).
The proposed method is applied to time-lapse fluorescence resonance energy transfer (FRET) images of Rac1 activity in motile HT1080 cells; the protein Rac1 is well known to induce filamentous structures that enable cells to migrate. Results show a significant delay between local Rac1 activity events and morphological events. This observation provides new insights into the dynamic relationship between cellular-morphological change and molecular-signaling of migrating cells, and may pave the way to novel biophysical models of cell migration.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lauffenburger, D.A., Horwitz, A.F.: Cell migration: a physically integrated molecular process. Cell 84, 359–369 (1996)
Dormann, D., Weijer, C.J.: Imaging of cell migration. The EMBO Journal 25(15), 3480–3493 (2006)
Pollard, T.D.: The cytoskeleton, cellular motility, and the reductionist agenda. Nature 422, 741–745 (2003)
Gerlich, D., Mattes, J., Eils, R.: Quantitative motion analysis and visualization of cellular structures. Methods 29, 3–13 (2003)
Tsukada, Y., Aoki, K., Nakamura, T., Sakumura, Y., Matsuda, M., Ishii, S.: Quantification of local morphodynamics and local GTPase activity by edge evolution tracking. PLoS Comput. Biol. 4(11), e1000223 (2008)
Dauwels, J., Vialatte, F., Rutkowski, T., Cichocki, A.: Measuring neural synchrony by message passing. In: Advances in Neural Information Processing Systems 20. MIT Press, Cambridge
Rasheed, S., Nelson-Rees, W.A., Toth, E.M., Arnstein, P., Gardner, M.B.: Characterization of a newly derived human sarcoma cell line (HT-1080). Cancer 33, 1027–1033 (1974)
Vialatte, F., Martin, C., Dubois, R., Haddad, J., Quenet, B., Gervais, R., Dreyfus, G.: A machine learning approach to the analysis of time-frequency maps, and its application to neural dynamics. Neural Networks 20, 194–209
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dauwels, J. et al. (2009). On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02490-0_58
Download citation
DOI: https://doi.org/10.1007/978-3-642-02490-0_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02489-4
Online ISBN: 978-3-642-02490-0
eBook Packages: Computer ScienceComputer Science (R0)