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Trackosome: a computational toolbox to study the spatiotemporal dynamics of centrosomes, nuclear envelope and cellular membrane

Domingos Castro, Vanessa Nunes, Joana T. Lima, Jorge G. Ferreira, View ORCID ProfilePaulo Aguiar
doi: https://doi.org/10.1101/2020.04.27.064204
Domingos Castro
1i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal
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Vanessa Nunes
1i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal
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Joana T. Lima
1i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal
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Jorge G. Ferreira
1i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal
2Departamento de Biomedicina, Faculdade de Medicina, Universidade do Porto, Portugal
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Paulo Aguiar
1i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal
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  • ORCID record for Paulo Aguiar
  • For correspondence: pauloaguiar@ineb.up.pt
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Abstract

During the initial stages of mitosis, multiple mechanisms drive centrosome separation and positioning. How they are functionally coordinated to promote centrosome migration to opposite sides of the nucleus remains unclear. Imaging analysis software has been used to quantitatively study centrosome dynamics at this stage. However, available tracking tools are generic and not fine-tuned for the constrains and motion dynamics of centrosome pairs. Such generality limits the tracking performance and may require exhaustive optimization of parameters. Here, we present Trackosome, a freely available open-source computational tool to track the centrosomes and reconstruct the nuclear and cellular membranes, based on volumetric live-imaging data. The toolbox runs in MATLAB and provides a graphical user interface for easy and efficient access to the tracking and analysis algorithms. It outputs key metrics describing the spatiotemporal relations between centrosomes, nucleus and cellular membrane. Trackosome can also be used to measure the dynamic fluctuations of the nuclear envelope. A fine description of these fluctuations is important because they are correlated with the mechanical forces exerted on the nucleus by its adjacent cytoskeletal structures. Unlike previous algorithms based on circular/elliptical approximations of the nucleus, Trackosome measures membrane movement in a model-free condition, making it viable for irregularly shaped nuclei. Using Trackosome, we demonstrate significant correlations between the movements of the two centrosomes, and identify specific modes of oscillation of the nuclear envelope. Overall, Trackosome is a powerful tool to help unravel new elements in the spatiotemporal dynamics of subcellular structures.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted April 28, 2020.
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Trackosome: a computational toolbox to study the spatiotemporal dynamics of centrosomes, nuclear envelope and cellular membrane
Domingos Castro, Vanessa Nunes, Joana T. Lima, Jorge G. Ferreira, Paulo Aguiar
bioRxiv 2020.04.27.064204; doi: https://doi.org/10.1101/2020.04.27.064204
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Trackosome: a computational toolbox to study the spatiotemporal dynamics of centrosomes, nuclear envelope and cellular membrane
Domingos Castro, Vanessa Nunes, Joana T. Lima, Jorge G. Ferreira, Paulo Aguiar
bioRxiv 2020.04.27.064204; doi: https://doi.org/10.1101/2020.04.27.064204

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