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Related Experiment Video

Updated: Jun 8, 2026

Temporal Quantification of MAPK Induced Expression in Single Yeast Cells

Temporal Quantification of MAPK Induced Expression in Single Yeast Cells

Published on: October 4, 2013

Signal integration in budding yeast.

Christian Waltermann¹, Edda Klipp

¹Theoretische Biophysik, Humboldt-Universität zu Berlin Invalidenstrasse 42, 10115 Berlin, Germany.

Biochemical Society Transactions

|September 25, 2010

Summary

This study models yeast signaling networks, finding Hog1 MAPK may time filamentous growth and that decisions between pheromone and osmo-response involve broader cellular networks beyond MAPK pathways.

Area of Science:

Cellular Biology
Systems Biology
Biochemistry

Background:

Saccharomyces cerevisiae utilizes complex signaling networks to respond to environmental stimuli.
Understanding signal integration and separation is crucial for comprehending yeast's adaptive mechanisms.

Purpose of the Study:

To provide an overview of yeast signaling systems.
To investigate signal integration and separation mechanisms.
To model the HOG/FG/PH MAPK signaling network in silico.

Main Methods:

Developed a classification scheme for signaling mechanisms.
Created a semi-quantitative model of the HOG/FG/PH MAPK network.
Performed in silico perturbations under combinatorial stimuli (osmotic stress, starvation, pheromone).

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Visualization and Analysis of mRNA Molecules Using Fluorescence In Situ Hybridization in Saccharomyces cerevisiae

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Main Results:

Hog1 MAPK may function as a timer for filamentous differentiation, ensuring osmo-adaptation precedes morphological changes.
Mutually exclusive decision-making between pheromone and osmo-response may not occur solely at the MAPK or transcriptional target level.
Signal integration involves broader cellular networks, including the cell cycle.

Conclusions:

Yeast signal integration is a complex process involving multiple pathways.
The Hog1 MAPK's role extends beyond immediate stress response to temporal regulation.
A comprehensive understanding requires considering networks beyond the core MAPK pathways, such as cell cycle regulation.