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ToolsWeimann, Laura, Ganzinger, Kristina A., McColl, James, Irvine, Kate L., Davis, Simon J., Gay, Nicholas J., Bryant, Clare E. and Klenerman, David (2013) A quantitative comparison of single-dye tracking analysis tools using Monte Carlo simulations. PLoS One, 8 (5). ISSN 1932-6203
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Abstract
Single-particle tracking (SPT) is widely used to study processes from membrane receptor organization to the dynamics of RNAs in living cells. While single-dye labeling strategies have the benefit of being minimally invasive, this comes at the expense of data quality; typically a data set of short trajectories is obtained and analyzed by means of the mean square displacements (MSD) or the distribution of the particles’ displacements in a set time interval (jump distance, JD). To evaluate the applicability of both approaches, a quantitative comparison of both methods under typically encountered experimental conditions is necessary. Here we use Monte Carlo simulations to systematically compare the accuracy of diffusion coefficients (D-values) obtained for three cases: one population of diffusing species, two populations with different D-values, and a population switching between two D-values. For the first case we find that the MSD gives more or equally accurate results than the JD analysis (relative errors of D-values <6%). If two diffusing species are present or a particle undergoes a motion change, the JD analysis successfully distinguishes both species (relative error <5%). Finally we apply the JD analysis to investigate the motion of endogenous LPS receptors in live macrophages before and after treatment with methyl-β-cyclodextrin and latrunculin B.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Science > School of Biological Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 15 Aug 2022 15:31 |
| Last Modified: | 22 Oct 2022 07:53 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/87269 |
| DOI: | 10.1371/journal.pone.0064287 |
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