ArticleBMC systems biology2013
Modeling mutant phenotypes and oscillatory dynamics in the Saccharomyces cerevisiae cAMP-PKA pathway.
Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Global impact on metabolic capacity of yeast cell factories by optogenetic control of the cAMP-PKA axis.Applied and environmental microbiology · 2026Article
- Engineering transcriptional regulatory networks for improving second-generation fuel ethanol production inSynthetic and systems biotechnology · 2025Review
- A mathematical model captures the role of adenyl cyclase Cyr1 and guanidine exchange factor Ira2 in creating a growth-to-hyphal bistable switch in Candida albicans.FEBS open bio · 2022Article
- 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
- Role ofFrontiers in bioengineering and biotechnology · 2020Article
- Integrated TORC1 and PKA signaling control the temporal activation of glucose-induced gene expression in yeast.Nature communications · 2019Article
- Genomics of cellular proliferation in periodic environmental fluctuations.Molecular systems biology · 2018Article
- Disruption of the transcription factors Thi2p and Nrm1p alleviates the post-glucose effect on xylose utilization inBiotechnology for biofuels · 2018Article
- Complex regulation of Hsf1-Skn7 activities by the catalytic subunits of PKA in Saccharomyces cerevisiae: experimental and computational evidences.BMC systems biology · 2015Article
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4 authors.
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Abstract
backgroundThe cyclic AMP-Protein Kinase A (cAMP-PKA) pathway is an evolutionarily conserved signal transduction mechanism that regulates cellular growth and differentiation in animals and fungi. We present a mathematical model that recapitulates the short-term and long-term dynamics of this pathway in the budding yeast, Saccharomyces cerevisiae. Our model is aimed at recapitulating the dynamics of cAMP signaling for wild-type cells as well as single (pde1Δ and pde2Δ) and double (pde1Δpde2Δ) phosphodiesterase mutants.
resultsOur model focuses on PKA-mediated negative feedback on the activity of phosphodiesterases and the Ras branch of the cAMP-PKA pathway. We show that both of these types of negative feedback are required to reproduce the wild-type signaling behavior that occurs on both short and long time scales, as well as the the observed responses of phosphodiesterase mutants. A novel feature of our model is that, for a wide range of parameters, it predicts that intracellular cAMP concentrations should exhibit decaying oscillatory dynamics in their approach to steady state following glucose stimulation. Experimental measurements of cAMP levels in two genetic backgrounds of S. cerevisiae confirmed the presence of decaying cAMP oscillations as predicted by the model.
conclusionsOur model of the cAMP-PKA pathway provides new insights into how yeast respond to alterations in their nutrient environment. Because the model has both predictive and explanatory power it will serve as a foundation for future mathematical and experimental studies of this important signaling network.
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