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Yeast Signaling

Yeast Signaling

Yeasts are single-celled organisms, but unlike bacteria, they are eukaryotes (cells with a nucleus). Cell signaling in yeast is similar to signaling in other eukaryotic cells. A ligand, such as a protein or a small molecule released from a yeast cell, attaches to a receptor on the cell surface. The binding stimulates second-messenger kinases to activate or inactivate transcription factors that further regulate gene expression. Many of the yeast intracellular signaling cascades have similar...

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Updated: Oct 27, 2025

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

Published on: July 3, 2017

Multiscale models quantifying yeast physiology: towards a whole-cell model.

Hongzhong Lu¹, Eduard J Kerkhoven¹, Jens Nielsen²

¹Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96 Gothenburg, Sweden.

Trends in Biotechnology

|July 25, 2021

Summary

This study reviews multiscale models for Saccharomyces cerevisiae, enhancing genome-scale metabolic models (GEMs). New models improve yeast cell factory design and physiological studies.

Keywords:

S. cerevisiae multiscale model whole-cell model yeast species

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Last Updated: Oct 27, 2025

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

Published on: July 3, 2017

Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells

Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells

Published on: May 6, 2009

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

Area of Science:

Systems Biology
Metabolic Engineering
Yeast Physiology

Background:

Saccharomyces cerevisiae is a key eukaryal model organism and cell factory.
Genome-scale metabolic models (GEMs) are foundational for yeast research.
Expanding GEMs with multiscale networks offers deeper physiological insights.

Purpose of the Study:

To review recent advancements in multiscale modeling of yeast.
To highlight the potential of next-generation multiscale models.
To demonstrate enhanced applications in cell factory design and yeast physiology.

Main Methods:

Literature review of multiscale modeling approaches for yeast.
Analysis of incorporating enzymatic parameters and cellular networks.
Illustrative examples of enhanced model capabilities.

Main Results:

Multiscale models integrate diverse cellular data for comprehensive yeast descriptions.
New models significantly improve predictive performance over classical GEMs.
Expanded applications for yeast cell factory optimization and fundamental research.

Conclusions:

Multiscale modeling represents a significant advancement for yeast research.
These enhanced models will drive innovation in synthetic biology and understanding cellular functions.
Future yeast models will offer greater predictive power and broader applicability.