Literature DB >> 22713559

Analytical tools to distinguish the effects of localization error, confinement, and medium elasticity on the velocity autocorrelation function.

Stephanie C Weber1, Michael A Thompson, W E Moerner, Andrew J Spakowitz, Julie A Theriot.   

Abstract

Single particle tracking is a powerful technique for investigating the dynamic behavior of biological molecules. However, many of the analytical tools are prone to generate results that can lead to mistaken interpretations of the underlying transport process. Here, we explore the effects of localization error and confinement on the velocity autocorrelation function, Cυ. We show that calculation of Cυ across a range of discretizations can distinguish the effects of localization error, confinement, and medium elasticity. Thus, under certain regimes, Cυ can be used as a diagnostic tool to identify the underlying mechanism of anomalous diffusion. Finally, we apply our analysis to experimental data sets of chromosomal loci and RNA-protein particles in Escherichia coli.
Copyright © 2012 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22713559      PMCID: PMC3368140          DOI: 10.1016/j.bpj.2012.03.062

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  33 in total

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3.  Quantitative analysis of single particle trajectories: mean maximal excursion method.

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Journal:  Biophys J       Date:  2004-11-08       Impact factor: 4.033

5.  Nonergodicity mimics inhomogeneity in single particle tracking.

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Journal:  Phys Rev Lett       Date:  2008-07-28       Impact factor: 9.161

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  25 in total

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Authors:  Thomas J Lampo; Andrew S Kennard; Andrew J Spakowitz
Journal:  Biophys J       Date:  2016-01-19       Impact factor: 4.033

2.  Chromosomal locus tracking with proper accounting of static and dynamic errors.

Authors:  Mikael P Backlund; Ryan Joyner; W E Moerner
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-06-29

3.  Cytoplasmic dynamics reveals two modes of nucleoid-dependent mobility.

Authors:  Stella Stylianidou; Nathan J Kuwada; Paul A Wiggins
Journal:  Biophys J       Date:  2014-12-02       Impact factor: 4.033

4.  Cytoplasmic RNA-Protein Particles Exhibit Non-Gaussian Subdiffusive Behavior.

Authors:  Thomas J Lampo; Stella Stylianidou; Mikael P Backlund; Paul A Wiggins; Andrew J Spakowitz
Journal:  Biophys J       Date:  2017-01-11       Impact factor: 4.033

5.  Physical modeling of chromosome segregation in escherichia coli reveals impact of force and DNA relaxation.

Authors:  Thomas J Lampo; Nathan J Kuwada; Paul A Wiggins; Andrew J Spakowitz
Journal:  Biophys J       Date:  2015-01-06       Impact factor: 4.033

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8.  3D trajectories adopted by coding and regulatory DNA elements: first-passage times for genomic interactions.

Authors:  Joseph S Lucas; Yaojun Zhang; Olga K Dudko; Cornelis Murre
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9.  Statistics and Related Topics in Single-Molecule Biophysics.

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Journal:  Annu Rev Stat Appl       Date:  2014-01-01       Impact factor: 5.810

10.  Escherichia coli Chromosomal Loci Segregate from Midcell with Universal Dynamics.

Authors:  Julie A Cass; Nathan J Kuwada; Beth Traxler; Paul A Wiggins
Journal:  Biophys J       Date:  2016-06-21       Impact factor: 4.033

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