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Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae
Saccharomyces cerevisiae has a sophisticated signalling system that plays a crucial role in cellular adaptation to changing environments. The SNF1 pathway regulates energy homeostasis upon glucose derepression; hence, it plays an important role in various processes, such as metabolism, cell cycle an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8916112/ https://www.ncbi.nlm.nih.gov/pubmed/35238938 http://dx.doi.org/10.1093/femsyr/foac012 |
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author | Persson, Sebastian Shashkova, Sviatlana Österberg, Linnea Cvijovic, Marija |
author_facet | Persson, Sebastian Shashkova, Sviatlana Österberg, Linnea Cvijovic, Marija |
author_sort | Persson, Sebastian |
collection | PubMed |
description | Saccharomyces cerevisiae has a sophisticated signalling system that plays a crucial role in cellular adaptation to changing environments. The SNF1 pathway regulates energy homeostasis upon glucose derepression; hence, it plays an important role in various processes, such as metabolism, cell cycle and autophagy. To unravel its behaviour, SNF1 signalling has been extensively studied. However, the pathway components are strongly interconnected and inconstant; therefore, elucidating its dynamic behaviour based on experimental data only is challenging. To tackle this complexity, systems biology approaches have been successfully employed. This review summarizes the progress, advantages and disadvantages of the available mathematical modelling frameworks covering Boolean, dynamic kinetic, single-cell models, which have been used to study processes and phenomena ranging from crosstalks to sources of cell-to-cell variability in the context of SNF1 signalling. Based on the lessons from existing models, we further discuss how to develop a consensus dynamic mechanistic model of the entire SNF1 pathway that can provide novel insights into the dynamics of nutrient signalling. |
format | Online Article Text |
id | pubmed-8916112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89161122022-03-14 Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae Persson, Sebastian Shashkova, Sviatlana Österberg, Linnea Cvijovic, Marija FEMS Yeast Res Minireview Saccharomyces cerevisiae has a sophisticated signalling system that plays a crucial role in cellular adaptation to changing environments. The SNF1 pathway regulates energy homeostasis upon glucose derepression; hence, it plays an important role in various processes, such as metabolism, cell cycle and autophagy. To unravel its behaviour, SNF1 signalling has been extensively studied. However, the pathway components are strongly interconnected and inconstant; therefore, elucidating its dynamic behaviour based on experimental data only is challenging. To tackle this complexity, systems biology approaches have been successfully employed. This review summarizes the progress, advantages and disadvantages of the available mathematical modelling frameworks covering Boolean, dynamic kinetic, single-cell models, which have been used to study processes and phenomena ranging from crosstalks to sources of cell-to-cell variability in the context of SNF1 signalling. Based on the lessons from existing models, we further discuss how to develop a consensus dynamic mechanistic model of the entire SNF1 pathway that can provide novel insights into the dynamics of nutrient signalling. Oxford University Press 2022-03-03 /pmc/articles/PMC8916112/ /pubmed/35238938 http://dx.doi.org/10.1093/femsyr/foac012 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of FEMS. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Minireview Persson, Sebastian Shashkova, Sviatlana Österberg, Linnea Cvijovic, Marija Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae |
title | Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae |
title_full | Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae |
title_fullStr | Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae |
title_full_unstemmed | Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae |
title_short | Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae |
title_sort | modelling of glucose repression signalling in yeast saccharomyces cerevisiae |
topic | Minireview |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8916112/ https://www.ncbi.nlm.nih.gov/pubmed/35238938 http://dx.doi.org/10.1093/femsyr/foac012 |
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