ReviewFEMS yeast research2022
Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae.
Review in FEMS yeast research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Proteomic Research of the Stress Response ofMicroorganisms · 2025Article
- Exploring Yeast's Energy Dynamics: The General Stress Response Lowers Maintenance Energy Requirement.Microbial biotechnology · 2025Article
- The advances in creating Crabtree-negative Saccharomyces cerevisiae and the application for chemicals biosynthesis.FEMS yeast research · 2025Review
- New insights into carbon metabolism in SFrontiers in fungal biology · 2025Article
- Lipid Accumulation by Snf-β Engineered Mucor circinelloides Strains on Glucose and Xylose.Applied biochemistry and biotechnology · 2023Article
- Sir2 and Glycerol Underlie the Pro-Longevity Effect of Quercetin during Yeast Chronological Aging.International journal of molecular sciences · 2023Article
- Effect of Different Carbons on Lipid Production and SNF1 Transcription inIndian journal of microbiology · 2023Article
- Multi-scale model suggests the trade-off between protein and ATP demand as a driver of metabolic changes during yeast replicative ageing.PLoS computational biology · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.