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Biophysical approach for studying the MinD protein dynamics and energy landscape: a novel use of the spot tracking technique

Published online by Cambridge University Press:  21 July 2011

P. Kanthang ,
W. Ngamsaad ,
N. Nuttavut ,
W. Triampo ,
D. Triampo  and
C. Krittanai
P. Kanthang
Affiliation:
Rajamangala University of Technology Phra Nakhon, Bangkok 10800, Thailand School of Science, University of Phayao, Phayao 56000, Thailand
W. Ngamsaad
Affiliation:
School of Science, University of Phayao, Phayao 56000, Thailand
N. Nuttavut
Affiliation:
R&D Group of Biological and Environmental Physics, Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
W. Triampo*
Affiliation:
R&D Group of Biological and Environmental Physics, Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand Institute for Innovative Learning, Mahidol University, 999, Phuttamonthon 4 Road, Salaya, Nakorn Pathom 73170, Thailand ThEP Center, CHE, 328 Si Ayutthaya Road, Bangkok 10400, Thailand
D. Triampo
Affiliation:
Department of Mathematics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand Department of Chemistry, Center of Excellence for Innovation in Chemistry, Faculty of Science, Mahidol University, Rama VI Rd, Bangkok 10400, Thailand
C. Krittanai
Affiliation:
Institute of Molecular Biosciences, Mahidol University, Salaya Campus, Nakhonpathom Thailand
*
a e-mail: wtriampo@gmail.com
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Abstract

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.

Type
Research Article
Information
The European Physical Journal - Applied Physics , Volume 55 , Issue 1: Focus on Hakone XII , July 2011 , 11201
Copyright
© EDP Sciences, 2011

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