Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.

Subscribe

Sci. STKE, 18 December 2007
Vol. 2007, Issue 417, p. pl7
[DOI: 10.1126/stke.4172007pl7]

PROTOCOLS

Image Correlation Spectroscopy

Anja Nohe1* and Nils O. Petersen2

1Department of Chemical and Biological Engineering, University of Maine, Orono, ME 04469, USA.
2National Institute for Nanotechnology, University of Alberta, 11421 Saskatchewan Drive, Edmonton, AB T6G 2M9, Canada.

Abstract: Membrane domains, such as caveolae and clathrin-coated pits, regulate cell signaling and protein internalization in the plasma membrane. Fluorescence imaging and microscopy provide an opportunity to determine the receptor protein dynamics of membrane microdomains. The family of image correlation spectroscopy (ICS) techniques provides powerful tools with which to measure the aggregation, clustering, and dynamics of proteins in the plasma membrane. ICS is used to calculate the cluster density and the degree of aggregation of plasma membrane proteins, whereas image cross-correlation spectroscopy (ICCS) measures the fraction of colocalization of two proteins. Dynamic image correlation spectroscopy (DICS) can be used to analyze protein dynamics on the cell surface during live-cell imaging.

*Corresponding author. E-mail, anohe{at}umche.maine.edu

Citation: A. Nohe, N. O. Petersen, Image Correlation Spectroscopy. Sci. STKE 2007, pl7 (2007).

Read the Full Text


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
Quantifying Translational Mobility in Neurons: Comparison between Current Optical Techniques.
S. A. Kim, H. Sanabria, M. A. Digman, E. Gratton, P. Schwille, W. R. Zipfel, and M. N. Waxham (2010)
J. Neurosci. 30, 16409-16416
   Full Text »    PDF »

To Advertise     Find Products


Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882