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Accuracy of the detection of binding events using 3D single particle tracking

BACKGROUND: Nanoparticles can be used as markers to track the position of biomolecules, such as single proteins, inside living cells. The activity of a protein can sometimes be inferred from changes in the mobility of the attached particle. Mean Square Displacement analysis is the most common method...

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Autores principales: Carozza, Sara, Culkin, Jamie, van Noort, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364544/
https://www.ncbi.nlm.nih.gov/pubmed/28344779
http://dx.doi.org/10.1186/s13628-017-0035-8
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author Carozza, Sara
Culkin, Jamie
van Noort, John
author_facet Carozza, Sara
Culkin, Jamie
van Noort, John
author_sort Carozza, Sara
collection PubMed
description BACKGROUND: Nanoparticles can be used as markers to track the position of biomolecules, such as single proteins, inside living cells. The activity of a protein can sometimes be inferred from changes in the mobility of the attached particle. Mean Square Displacement analysis is the most common method to obtain mobility information from trajectories of tracked particles, such as the diffusion coefficient D. However, the precision of D sets a limit to discriminate changes in mobility caused by biological events from changes that reflect the stochasticity inherent to diffusion. This issue is of particular importance in an experiment aiming to quantify dynamic processes. RESULTS: Here, we present simulations and 3D tracking experiments with Gold Nanorods freely diffusing in glycerol solution to establish the best analysis parameters to extract the diffusion coefficient. We applied this knowledge to the detection of a temporary change in diffusion, as it can occur due to the transient binding of a particle to an immobile structure within the cell, and tested its dependence on the magnitude of the change in diffusion and duration of this event. CONCLUSIONS: The simulations show that the spatial accuracy of particle tracking generally does not limit the detection of short binding events. Careful analysis of the magnitude of the change in diffusion and the number of frames per binding event is required for accurate quantification of such events. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13628-017-0035-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-53645442017-03-24 Accuracy of the detection of binding events using 3D single particle tracking Carozza, Sara Culkin, Jamie van Noort, John BMC Biophys Research Article BACKGROUND: Nanoparticles can be used as markers to track the position of biomolecules, such as single proteins, inside living cells. The activity of a protein can sometimes be inferred from changes in the mobility of the attached particle. Mean Square Displacement analysis is the most common method to obtain mobility information from trajectories of tracked particles, such as the diffusion coefficient D. However, the precision of D sets a limit to discriminate changes in mobility caused by biological events from changes that reflect the stochasticity inherent to diffusion. This issue is of particular importance in an experiment aiming to quantify dynamic processes. RESULTS: Here, we present simulations and 3D tracking experiments with Gold Nanorods freely diffusing in glycerol solution to establish the best analysis parameters to extract the diffusion coefficient. We applied this knowledge to the detection of a temporary change in diffusion, as it can occur due to the transient binding of a particle to an immobile structure within the cell, and tested its dependence on the magnitude of the change in diffusion and duration of this event. CONCLUSIONS: The simulations show that the spatial accuracy of particle tracking generally does not limit the detection of short binding events. Careful analysis of the magnitude of the change in diffusion and the number of frames per binding event is required for accurate quantification of such events. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13628-017-0035-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-23 /pmc/articles/PMC5364544/ /pubmed/28344779 http://dx.doi.org/10.1186/s13628-017-0035-8 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Carozza, Sara
Culkin, Jamie
van Noort, John
Accuracy of the detection of binding events using 3D single particle tracking
title Accuracy of the detection of binding events using 3D single particle tracking
title_full Accuracy of the detection of binding events using 3D single particle tracking
title_fullStr Accuracy of the detection of binding events using 3D single particle tracking
title_full_unstemmed Accuracy of the detection of binding events using 3D single particle tracking
title_short Accuracy of the detection of binding events using 3D single particle tracking
title_sort accuracy of the detection of binding events using 3d single particle tracking
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364544/
https://www.ncbi.nlm.nih.gov/pubmed/28344779
http://dx.doi.org/10.1186/s13628-017-0035-8
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