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Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells
Interactions between objects inside living cells are often investigated by looking for colocalization between fluorescence microscopy images that are recorded in separate colours corresponding to the fluorescent label of each object. The fundamental limitation of this approach in the case of dynamic...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3759922/ https://www.ncbi.nlm.nih.gov/pubmed/23965965 http://dx.doi.org/10.3390/ijms140816485 |
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author | Deschout, Hendrik Martens, Thomas Vercauteren, Dries Remaut, Katrien Demeester, Jo De Smedt, Stefaan C. Neyts, Kristiaan Braeckmans, Kevin |
author_facet | Deschout, Hendrik Martens, Thomas Vercauteren, Dries Remaut, Katrien Demeester, Jo De Smedt, Stefaan C. Neyts, Kristiaan Braeckmans, Kevin |
author_sort | Deschout, Hendrik |
collection | PubMed |
description | Interactions between objects inside living cells are often investigated by looking for colocalization between fluorescence microscopy images that are recorded in separate colours corresponding to the fluorescent label of each object. The fundamental limitation of this approach in the case of dynamic objects is that coincidental colocalization cannot be distinguished from true interaction. Instead, correlation between motion trajectories obtained by dual colour single particle tracking provides a much stronger indication of interaction. However, frequently occurring phenomena in living cells, such as immobile phases or transient interactions, can limit the correlation to small parts of the trajectories. The method presented here, developed for the detection of interaction, is based on the correlation inside a window that is scanned along the trajectories, covering different subsets of the positions. This scanning window method was validated by simulations and, as an experimental proof of concept, it was applied to the investigation of the intracellular trafficking of polymeric gene complexes by endosomes in living retinal pigment epithelium cells, which is of interest to ocular gene therapy. |
format | Online Article Text |
id | pubmed-3759922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-37599222013-09-03 Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells Deschout, Hendrik Martens, Thomas Vercauteren, Dries Remaut, Katrien Demeester, Jo De Smedt, Stefaan C. Neyts, Kristiaan Braeckmans, Kevin Int J Mol Sci Article Interactions between objects inside living cells are often investigated by looking for colocalization between fluorescence microscopy images that are recorded in separate colours corresponding to the fluorescent label of each object. The fundamental limitation of this approach in the case of dynamic objects is that coincidental colocalization cannot be distinguished from true interaction. Instead, correlation between motion trajectories obtained by dual colour single particle tracking provides a much stronger indication of interaction. However, frequently occurring phenomena in living cells, such as immobile phases or transient interactions, can limit the correlation to small parts of the trajectories. The method presented here, developed for the detection of interaction, is based on the correlation inside a window that is scanned along the trajectories, covering different subsets of the positions. This scanning window method was validated by simulations and, as an experimental proof of concept, it was applied to the investigation of the intracellular trafficking of polymeric gene complexes by endosomes in living retinal pigment epithelium cells, which is of interest to ocular gene therapy. MDPI 2013-08-08 /pmc/articles/PMC3759922/ /pubmed/23965965 http://dx.doi.org/10.3390/ijms140816485 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland http://creativecommons.org/licenses/by/3.0 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Deschout, Hendrik Martens, Thomas Vercauteren, Dries Remaut, Katrien Demeester, Jo De Smedt, Stefaan C. Neyts, Kristiaan Braeckmans, Kevin Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells |
title | Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells |
title_full | Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells |
title_fullStr | Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells |
title_full_unstemmed | Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells |
title_short | Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells |
title_sort | correlation of dual colour single particle trajectories for improved detection and analysis of interactions in living cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3759922/ https://www.ncbi.nlm.nih.gov/pubmed/23965965 http://dx.doi.org/10.3390/ijms140816485 |
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