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Robustness of the microtubule network self-organization in epithelia

Robustness of the microtubule network self-organization in epithelia
Robustness of the microtubule network self-organization in epithelia
Robustness of biological systems is crucial for their survival, however, for many systems its origin is an open question. Here, we analyze one subcellular level system, the microtubule cytoskeleton. Microtubules self-organize into a network, along which cellular components are delivered to their biologically relevant locations. While the dynamics of individual microtubules is sensitive to the organism’s environment and genetics, a similar sensitivity of the overall network would result in pathologies. Our large-scale stochastic simulations show that the self-organization of microtubule networks is robust in a wide parameter range in individual cells. We confirm this robustness in vivo on the tissue-scale using genetic manipulations of Drosophila epithelial cells. Finally, our minimal mathematical model shows that the origin of robustness is the separation of time-scales in microtubule dynamics rates. Altogether, we demonstrate that the tissue-scale self-organization of a microtubule network depends only on cell geometry and the distribution of the microtubule minus-ends.
2050-084X
Płochocka, Aleksandra Z.
ceb2f0a8-60e6-4362-8388-898dfa725619
Moreno, Miguel Ramirez
22b64166-df15-46e0-b5a5-2e99ea81d0da
Davie, Alexander M.
eecc3cd8-8286-4baa-a9bd-f9eeaba85676
Bulgakova, Natalia A
f01bab85-42b3-403b-926c-3b56b17de5dd
Chumakova, Lyubov
afedfe19-160c-4aa2-85bb-4ccdbca32ace
Płochocka, Aleksandra Z.
ceb2f0a8-60e6-4362-8388-898dfa725619
Moreno, Miguel Ramirez
22b64166-df15-46e0-b5a5-2e99ea81d0da
Davie, Alexander M.
eecc3cd8-8286-4baa-a9bd-f9eeaba85676
Bulgakova, Natalia A
f01bab85-42b3-403b-926c-3b56b17de5dd
Chumakova, Lyubov
afedfe19-160c-4aa2-85bb-4ccdbca32ace

Płochocka, Aleksandra Z., Moreno, Miguel Ramirez, Davie, Alexander M., Bulgakova, Natalia A and Chumakova, Lyubov (2021) Robustness of the microtubule network self-organization in epithelia. eLife. (doi:10.7554/eLife.59529).

Record type: Article

Abstract

Robustness of biological systems is crucial for their survival, however, for many systems its origin is an open question. Here, we analyze one subcellular level system, the microtubule cytoskeleton. Microtubules self-organize into a network, along which cellular components are delivered to their biologically relevant locations. While the dynamics of individual microtubules is sensitive to the organism’s environment and genetics, a similar sensitivity of the overall network would result in pathologies. Our large-scale stochastic simulations show that the self-organization of microtubule networks is robust in a wide parameter range in individual cells. We confirm this robustness in vivo on the tissue-scale using genetic manipulations of Drosophila epithelial cells. Finally, our minimal mathematical model shows that the origin of robustness is the separation of time-scales in microtubule dynamics rates. Altogether, we demonstrate that the tissue-scale self-organization of a microtubule network depends only on cell geometry and the distribution of the microtubule minus-ends.

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Accepted/In Press date: 26 January 2021
Published date: 1 February 2021

Identifiers

Local EPrints ID: 474461
URI: http://eprints.soton.ac.uk/id/eprint/474461
ISSN: 2050-084X
PURE UUID: c352289f-3b51-4398-815e-12c3313a202e
ORCID for Miguel Ramirez Moreno: ORCID iD orcid.org/0000-0003-1559-8976

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Date deposited: 22 Feb 2023 18:57
Last modified: 17 Mar 2024 04:15

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Contributors

Author: Aleksandra Z. Płochocka
Author: Miguel Ramirez Moreno ORCID iD
Author: Alexander M. Davie
Author: Natalia A Bulgakova
Author: Lyubov Chumakova

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