ArticleBMC systems biology2017
Single-cell study links metabolism with nutrient signaling and reveals sources of variability.
Article in BMC systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence.Scientific reports · 2025Article
- Exploring carbon source related localization and phosphorylation in the Snf1/Mig1 network using population and single cell-based approaches.Microbial cell (Graz, Austria) · 2024Article
- Nuclear Functions of KaeA, a Subunit of the KEOPS Complex inInternational journal of molecular sciences · 2022Article
- Live cell microscopy: From image to insight.Biophysics reviews · 2022Review
- Scalable and flexible inference framework for stochastic dynamic single-cell models.PLoS computational biology · 2022Article
- Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae.FEMS yeast research · 2022Review
- D-Xylose Sensing inInternational journal of molecular sciences · 2021Review
- Modeling and analysis of the macronutrient signaling network in budding yeast.Molecular biology of the cell · 2021Article
- AMPK Phosphorylation Is Controlled by Glucose Transport Rate in a PKA-Independent Manner.International journal of molecular sciences · 2021Article
- A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism.PLoS computational biology · 2021Article
- Fine-Tuning of Energy Levels RegulatesFrontiers in physiology · 2020Article
- Generalized size scaling of metabolic rates based on single-cell measurements with freshwater phytoplankton.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Recent advances in microfluidic platforms for single-cell analysis in cancer biology, diagnosis and therapy.Trends in analytical chemistry : TRAC · 2019Article
- Extreme Osmotolerance and Halotolerance in Food-Relevant Yeasts and the Role of Glycerol-Dependent Cell Individuality.Frontiers in microbiology · 2018Article
- Carbon Catabolite Repression in Filamentous Fungi.International journal of molecular sciences · 2017Review
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Authors and funding
8 authors.
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Abstract
backgroundThe yeast AMPK/SNF1 pathway is best known for its role in glucose de/repression. When glucose becomes limited, the Snf1 kinase is activated and phosphorylates the transcriptional repressor Mig1, which is then exported from the nucleus. The exact mechanism how the Snf1-Mig1 pathway is regulated is not entirely elucidated.
resultsGlucose uptake through the low affinity transporter Hxt1 results in nuclear accumulation of Mig1 in response to all glucose concentrations upshift, however with increasing glucose concentration the nuclear localization of Mig1 is more intense. Strains expressing Hxt7 display a constant response to all glucose concentration upshifts. We show that differences in amount of hexose transporter molecules in the cell could cause cell-to-cell variability in the Mig1-Snf1 system. We further apply mathematical modelling to our data, both general deterministic and a nonlinear mixed effect model. Our model suggests a presently unrecognized regulatory step of the Snf1-Mig1 pathway at the level of Mig1 dephosphorylation. Model predictions point to parameters involved in the transport of Mig1 in and out of the nucleus as a majorsource of cell to cell variability.
conclusionsWith this modelling approach we have been able to suggest steps that contribute to the cell-to-cell variability. Our data indicate a close link between the glucose uptake rate, which determines the glycolytic rate, and the activity of the Snf1/Mig1 system. This study hence establishes a close relation between metabolism and signalling.
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