Unifying the mechanism of mitotic exit control in a spatiotemporal logical model.

The transition from mitosis into the first gap phase of the cell cycle in budding yeast is controlled by the Mitotic Exit Network (MEN). The network interprets spatiotemporal cues about the progression of mitosis and ensures that release of Cdc14 phosphatase occurs only after completion of key mitot...

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Main Authors: Rowan S M Howell, Cinzia Klemm, Peter H Thorpe, Attila Csikász-Nagy
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-11-01
Series:PLoS Biology
Online Access:https://doi.org/10.1371/journal.pbio.3000917
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spelling doaj-124663b682b34556b1d447529054a3352021-07-02T16:29:04ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852020-11-011811e300091710.1371/journal.pbio.3000917Unifying the mechanism of mitotic exit control in a spatiotemporal logical model.Rowan S M HowellCinzia KlemmPeter H ThorpeAttila Csikász-NagyThe transition from mitosis into the first gap phase of the cell cycle in budding yeast is controlled by the Mitotic Exit Network (MEN). The network interprets spatiotemporal cues about the progression of mitosis and ensures that release of Cdc14 phosphatase occurs only after completion of key mitotic events. The MEN has been studied intensively; however, a unified understanding of how localisation and protein activity function together as a system is lacking. In this paper, we present a compartmental, logical model of the MEN that is capable of representing spatial aspects of regulation in parallel to control of enzymatic activity. We show that our model is capable of correctly predicting the phenotype of the majority of mutants we tested, including mutants that cause proteins to mislocalise. We use a continuous time implementation of the model to demonstrate that Cdc14 Early Anaphase Release (FEAR) ensures robust timing of anaphase, and we verify our findings in living cells. Furthermore, we show that our model can represent measured cell-cell variation in Spindle Position Checkpoint (SPoC) mutants. This work suggests a general approach to incorporate spatial effects into logical models. We anticipate that the model itself will be an important resource to experimental researchers, providing a rigorous platform to test hypotheses about regulation of mitotic exit.https://doi.org/10.1371/journal.pbio.3000917
collection DOAJ
language English
format Article
sources DOAJ
author Rowan S M Howell
Cinzia Klemm
Peter H Thorpe
Attila Csikász-Nagy
spellingShingle Rowan S M Howell
Cinzia Klemm
Peter H Thorpe
Attila Csikász-Nagy
Unifying the mechanism of mitotic exit control in a spatiotemporal logical model.
PLoS Biology
author_facet Rowan S M Howell
Cinzia Klemm
Peter H Thorpe
Attila Csikász-Nagy
author_sort Rowan S M Howell
title Unifying the mechanism of mitotic exit control in a spatiotemporal logical model.
title_short Unifying the mechanism of mitotic exit control in a spatiotemporal logical model.
title_full Unifying the mechanism of mitotic exit control in a spatiotemporal logical model.
title_fullStr Unifying the mechanism of mitotic exit control in a spatiotemporal logical model.
title_full_unstemmed Unifying the mechanism of mitotic exit control in a spatiotemporal logical model.
title_sort unifying the mechanism of mitotic exit control in a spatiotemporal logical model.
publisher Public Library of Science (PLoS)
series PLoS Biology
issn 1544-9173
1545-7885
publishDate 2020-11-01
description The transition from mitosis into the first gap phase of the cell cycle in budding yeast is controlled by the Mitotic Exit Network (MEN). The network interprets spatiotemporal cues about the progression of mitosis and ensures that release of Cdc14 phosphatase occurs only after completion of key mitotic events. The MEN has been studied intensively; however, a unified understanding of how localisation and protein activity function together as a system is lacking. In this paper, we present a compartmental, logical model of the MEN that is capable of representing spatial aspects of regulation in parallel to control of enzymatic activity. We show that our model is capable of correctly predicting the phenotype of the majority of mutants we tested, including mutants that cause proteins to mislocalise. We use a continuous time implementation of the model to demonstrate that Cdc14 Early Anaphase Release (FEAR) ensures robust timing of anaphase, and we verify our findings in living cells. Furthermore, we show that our model can represent measured cell-cell variation in Spindle Position Checkpoint (SPoC) mutants. This work suggests a general approach to incorporate spatial effects into logical models. We anticipate that the model itself will be an important resource to experimental researchers, providing a rigorous platform to test hypotheses about regulation of mitotic exit.
url https://doi.org/10.1371/journal.pbio.3000917
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