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Temporal Quantification of MAPK Induced Expression in Single Yeast Cells
Published on: October 4, 2013
Structure and function of a transcriptional network activated by the MAPK Hog1
Andrew P Capaldi1, Tommy Kaplan, Ying Liu
1Howard Hughes Medical Institute, Harvard University Faculty of Arts and Sciences Center for Systems Biology, Department of Molecular and Cellular Biology, Cambridge, Massachusetts 02138, USA.
Nature Genetics
|October 22, 2008
Summary
Budding yeast cells integrate osmotic stress signals through interacting Hog1 and general stress pathways. This quantitative model reveals context-dependent gene expression regulation for improved understanding of cellular responses.
Area of Science:
- Molecular Biology
- Systems Biology
- Cellular Signaling
Background:
- Cells utilize complex networks of signaling pathways, transcription factors, and promoters to regulate gene expression.
- Understanding these regulatory networks is crucial for deciphering cellular responses to environmental stimuli.
- The osmotic stress response is a fundamental cellular process involving key signaling pathways.
Purpose of the Study:
- To build a quantitative model of the Hog1 mitogen-activated protein kinase (MAPK)-dependent osmotic stress response in budding yeast.
- To investigate the interaction between the Hog1 pathway and general stress (Msn2/4) pathways.
- To elucidate how signal integration and processing contribute to context-dependent gene expression.
Main Methods:
- Analysis of gene expression in single- and multiple-mutant yeast strains.
- Development of a quantitative model for the osmotic stress response pathway.
- Investigating interactions at both the signaling and promoter levels.
Main Results:
- The Hog1 and Msn2/4 pathways were found to interact significantly.
- These interactions occur at both the signaling and promoter levels.
- The integrated signaling network generates a context-dependent gene expression response.
Conclusions:
- Signal integration and processing play a critical role in generating context-dependent cellular responses.
- The developed quantitative model provides a framework for studying gene regulatory networks.
- This study offers a path towards characterizing signal integration in other biological systems.
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