Advanced search
1 file | 1.18 MB Add to list

Correlation of dual colour single particle trajectories for improved detection and analysis of interactions in living cells

Hendrik Deschout (UGent) , Thomas Martens (UGent) , Dries Vercauteren (UGent) , Katrien Remaut (UGent) , Jo Demeester (UGent) , Stefaan De Smedt (UGent) , Kristiaan Neyts (UGent) and Kevin Braeckmans (UGent)
Author
Organization
Project
Center for nano- and biophotonics (NB-Photonics)
Abstract
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.
Keywords
colocalization, interaction, correlation, endosomal escape, single particle tracking, fluorescence microscopy, diffusion, COLOCALIZATION ANALYSIS, IMAGE CORRELATION, FLUORESCENCE MICROSCOPY, MOLECULE LOCALIZATION, MEMBRANE-PROTEINS, TRACKING, PROBES, DYNAMICS, DELIVERY, COMPLEX

Downloads

  • ijms-14-16485 1 .pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 1.18 MB

Citation

Please use this url to cite or link to this publication:

MLA
Deschout, Hendrik, Thomas Martens, Dries Vercauteren, et al. “Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells.” INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 14.8 (2013): 16485–16514. Print.
APA
Deschout, H., Martens, T., Vercauteren, D., Remaut, K., Demeester, J., De Smedt, S., Neyts, K., et al. (2013). Correlation of dual colour single particle trajectories for improved detection and analysis of interactions in living cells. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 14(8), 16485–16514.
Chicago author-date
Deschout, Hendrik, Thomas Martens, Dries Vercauteren, Katrien Remaut, Jo Demeester, Stefaan De Smedt, Kristiaan Neyts, and Kevin Braeckmans. 2013. “Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells.” International Journal of Molecular Sciences 14 (8): 16485–16514.
Chicago author-date (all authors)
Deschout, Hendrik, Thomas Martens, Dries Vercauteren, Katrien Remaut, Jo Demeester, Stefaan De Smedt, Kristiaan Neyts, and Kevin Braeckmans. 2013. “Correlation of Dual Colour Single Particle Trajectories for Improved Detection and Analysis of Interactions in Living Cells.” International Journal of Molecular Sciences 14 (8): 16485–16514.
Vancouver
1.
Deschout H, Martens T, Vercauteren D, Remaut K, Demeester J, De Smedt S, et al. Correlation of dual colour single particle trajectories for improved detection and analysis of interactions in living cells. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. 2013;14(8):16485–514.
IEEE
[1]
H. Deschout et al., “Correlation of dual colour single particle trajectories for improved detection and analysis of interactions in living cells,” INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, vol. 14, no. 8, pp. 16485–16514, 2013.
@article{4253346,
  abstract     = {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.},
  author       = {Deschout, Hendrik and Martens, Thomas and Vercauteren, Dries and Remaut, Katrien and Demeester, Jo and De Smedt, Stefaan and Neyts, Kristiaan and Braeckmans, Kevin},
  issn         = {1422-0067},
  journal      = {INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES},
  keywords     = {colocalization,interaction,correlation,endosomal escape,single particle tracking,fluorescence microscopy,diffusion,COLOCALIZATION ANALYSIS,IMAGE CORRELATION,FLUORESCENCE MICROSCOPY,MOLECULE LOCALIZATION,MEMBRANE-PROTEINS,TRACKING,PROBES,DYNAMICS,DELIVERY,COMPLEX},
  language     = {eng},
  number       = {8},
  pages        = {16485--16514},
  title        = {Correlation of dual colour single particle trajectories for improved detection and analysis of interactions in living cells},
  url          = {http://dx.doi.org/10.3390/ijms140816485},
  volume       = {14},
  year         = {2013},
}

Altmetric
View in Altmetric
Web of Science
Times cited: