Related Experiment Video
Updated: May 8, 2026

19:40
Design and Use of Multiplexed Chemostat Arrays
Published on: February 23, 2013
A chemostat array enables the spatio-temporal analysis of the yeast proteome
Nicolas Dénervaud1, Johannes Becker, Ricard Delgado-Gonzalo
1Institute of Bioengineering, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
Summary
Researchers developed a microchemostat array to observe 1,152 yeast strains, revealing cellular proteome dynamics and identifying gene disruptions affecting protein localization during stress responses.
Area of Science:
- Cell biology
- Proteomics
- Microbial systems
Background:
- Understanding cellular responses to environmental changes is crucial for biological hypothesis testing.
- High-throughput methods are needed to analyze proteome dynamics at the single-cell level.
Purpose of the Study:
- To develop and utilize a microchemostat platform for large-scale, high-resolution analysis of yeast proteomes.
- To systematically investigate protein abundance and localization changes in response to various cellular perturbations.
Main Methods:
- A massively parallel microchemostat array was employed to culture and observe 1,152 yeast-green fluorescent protein (GFP)-tagged strains.
- Single-cell measurements of protein abundance, localization, cell size, and growth were performed with 20-minute resolution.
- Over 10,000 experiments were conducted across multiple conditions, including methyl methanesulfonate and UV irradiation, with deletion strains.
Main Results:
- Rapid and synchronous formation of processing bodies was observed upon UV irradiation.
- Four gene disruptions were identified that cause abnormal ribonucleotide-diphosphate reductase (Rnr4) localization.
- A systematic view of the yeast proteome in flux was generated, detailing protein dynamics.
Conclusions:
- The microchemostat platform enables large-scale interrogation of proteomes under dynamic conditions.
- Concurrent observation of multiple cellular parameters at the single-cell level provides comprehensive insights into cellular responses.
- This approach facilitates the discovery of genes involved in critical cellular processes like protein localization.

