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Temporal Quantification of MAPK Induced Expression in Single Yeast Cells
Published on: October 4, 2013
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A yeast FRET biosensor enlightens cAMP signaling
Dennis Botman1, Tom G O'Toole2, Joachim Goedhart3
1Systems Biology Lab/AIMMS, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands.
Molecular Biology of the Cell
|April 21, 2021
Summary
Budding yeast uses a cAMP-PKA signaling cascade for environmental adaptation. A new biosensor, yEPAC, reveals that cAMP peaks during nutrient changes, scaling with relative glucose shifts and predicting growth rates.
Area of Science:
- Cellular signaling
- Yeast physiology
- Metabolic adaptation
Background:
- The cyclic adenosine monophosphate (cAMP) and protein kinase A (PKA) signaling pathway is crucial for budding yeast's adaptation to environmental fluctuations.
- Understanding the dynamics of intracellular cAMP levels during nutrient transitions is key to deciphering yeast's adaptive strategies.
Purpose of the Study:
- To develop and utilize a Förster Resonance Energy Transfer (FRET)-based biosensor, yEPAC, for high-throughput, single-cell measurement of cAMP levels in yeast.
- To investigate the dynamics of cAMP signaling in response to sudden nutrient transitions and characterize the factors influencing these changes.
Main Methods:
- Development of yEPAC, a FRET biosensor for quantitative cAMP measurements in yeast.
- Application of yEPAC with flow cytometry for high-throughput, single-cell analysis during dynamic nutrient changes.
- Analysis of cAMP peak characteristics in response to various carbon source transitions, particularly glucose.
Main Results:
- The yEPAC sensor enabled precise, single-cell quantification of cAMP dynamics during nutrient shifts.
- A characteristic cAMP peak was observed, differentiating between carbon source transitions and showing homogeneity among cells, especially for glucose.
- The cAMP peak's magnitude correlated with the relative change in glucose concentration, adhering to the Weber-Fechner law.
- Results indicate that cAMP peak height provides information about anticipated yeast growth rates.
Conclusions:
- The yEPAC biosensor provides a powerful tool for dissecting yeast signaling and metabolic adaptation at the single-cell level.
- Yeast cAMP signaling dynamics are influenced by both extracellular cues and intracellular metabolic states.
- The observed scaling of cAMP peaks with relative environmental changes suggests an efficient information processing mechanism for predicting future growth.
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