Hostname: page-component-848d4c4894-tn8tq Total loading time: 0 Render date: 2024-06-22T07:31:41.606Z Has data issue: false hasContentIssue false

High Resolution Mapping of Cytoskeletal Dynamics in Neurons via Combined Atomic Force Microscopy and Fluorescence Microscopy

Published online by Cambridge University Press:  10 June 2013

Elise Spedden
Affiliation:
Department of Physics and Astronomy, Tufts University, 4 Colby St, Medford Ma 02155
David L. Kaplan
Affiliation:
Department of Biomedical Engineering, Tufts University, 4 Colby St, Medford Ma 02155 Department of Chemical Engineering, Tufts University, 4 Colby St, Medford Ma 02155
Cristian Staii
Affiliation:
Department of Physics and Astronomy, Tufts University, 4 Colby St, Medford Ma 02155
Get access

Abstract

Living neuronal cells present active mechanical structures which evolve with cellular growth and changes in the cell microenvironment. Detailed knowledge of various mechanical parameters such as cell stiffness or adhesion forces and traction stresses generated during axonal extension is essential for understanding the mechanisms that control neuronal growth, development and repair. Here we present a combined Atomic Force Microscopy (AFM)/Fluorescence Microscopy approach for obtaining systematic, high-resolution elasticity and fluorescent maps for live neuronal cells. This approach allows us to simultaneously image and apply controllable forces to neurons, and also to monitor the real time dynamics of the cell cytoskeleton. We measure how the stiffness of neurons changes both during axonal growth and upon chemical modification of the cell, and identify the cytoskeletal components most responsible for the changes in cellular elasticity. This is accomplished by identifying cellular components with unique elastic signatures, and tracking those components over time within healthy cells or within cells treated to disrupt selective components.

Type
Articles
Copyright
Copyright © Materials Research Society 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Radmacher, M., Fritz, M., Kacher, C. M., Cleveland, J. P. and Hansma, P. K., Biophys. J. 70(1), 556567 (1996).CrossRefGoogle Scholar
Elkin, B. S., Azeloglu, E. U., Costa, K. D. and Morrison, B. 3rd, J. Neurotrauma 24(5), 812822 (2007).CrossRefGoogle Scholar
Xiong, Y., Lee, A. C., Suter, D. M. and Lee, G. U., Biophys. J. 96(12), 50605072 (2009).CrossRefGoogle Scholar
Mustata, M., Ritchie, K. and McNally, H. A., J. Neurosci. Methods 186(1), 3541 (2010).CrossRefGoogle Scholar
Costa, K. D., Dis. Markers 19(2-3), 139154 (2003).CrossRefGoogle Scholar
Koch, D., Rosoff, W. J., Jiang, J., Geller, H. M. and Urbach, J. S., Biophys. J. 102(3), 452460 (2012).CrossRefGoogle Scholar
Spedden, E., White, J. D., Naumova, E. N., Kaplan, D. L. and Staii, C., Biophys. J. 103(5), 868877 (2012).CrossRefGoogle Scholar
Beighley, R., Spedden, E., Sekeroglu, K., Atherton, T., Demirel, M. C. and Staii, C., Appl Phys Lett 101(14), 143701 (2012).CrossRefGoogle Scholar
Staii, C., Viesselmann, C., Ballweg, J., Shi, L., Liu, G. Y., Williams, J. C., Dent, E. W., Coppersmith, S. N. and Eriksson, M. A., Biomaterials 30(20), 33973404 (2009).CrossRefGoogle Scholar