Eur. Phys. J. Appl. Phys.
Volume 55, Number 1, July 2011
|Number of page(s)||8|
|Section||Biophysics and Biosensors|
|Published online||21 July 2011|
Biophysical approach for studying the MinD protein dynamics and energy landscape: a novel use of the spot tracking technique
Rajamangala University of Technology Phra Nakhon, Bangkok 10800, Thailand
2 School of Science, University of Phayao, Phayao 56000, Thailand
3 R&D Group of Biological and Environmental Physics, Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
4 Institute for Innovative Learning, Mahidol University, 999, Phuttamonthon 4 Road, Salaya, Nakorn Pathom 73170, Thailand
5 ThEP Center, CHE, 328 Si Ayutthaya Road, Bangkok 10400, Thailand
6 Department of Mathematics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
7 Department of Chemistry, Center of Excellence for Innovation in Chemistry, Faculty of Science, Mahidol University, Rama VI Rd, Bangkok 10400, Thailand
8 Institute of Molecular Biosciences, Mahidol University, Salaya Campus, Nakhonpathom Thailand
Revised: 31 March 2011
Accepted: 11 April 2011
Published online: 21 July 2011
The dynamics of MinD proteins have been acknowledged as playing a central role in accurate cell division. In our study, a spot tracking technique (STT) was applied to track motion and quantitatively characterize the dynamic behavior of MinD proteins on the level of particle cluster in Escherichia coli. We focused on the time and spatial distribution of MinD proteins. With the STT technique, the main quantitative results are twofold: (i) dynamic local and global pattern formations and (ii) energy landscape. The overall MinD cluster motion is governed by two dynamical time scales, namely the (slow) trapping time (~26 s) that appears at the cell poles, and the (fast) switching time (~1–2 s) which emerges between the cell poles. MinD cluster motion at the polar zones performs subdiffusion. The energy landscape is found to be two wells and one barrier. These energy landscape results are to relate with the memory effect of GFP-MinD cluster motion, measuring the PSD exponent approximately 1.57 (α ~ 0.57) corresponding to the estimated potential depth U0 ~ 1.75kBT.
© EDP Sciences, 2011
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