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Updated: Jun 26, 2026
10:39
A Suppressor Screen for the Characterization of Genetic Links Regulating Chronological Lifespan in Saccharomyces cerevisiae
Published on: September 17, 2020
A network biology approach to aging in yeast
David R Lorenz1, Charles R Cantor, James J Collins
1The Howard Hughes Medical Institute, Bioinformatics Program, Center for Advanced Biotechnology and Department of Biomedical Engineering. Boston University, 44 Cummington Street, Boston, MA 02215, USA.
Summary
Researchers reverse-engineered a gene network in yeast to understand aging. The study identified key regulators of the Snf1 pathway, revealing new insights into chronological lifespan and gene regulation.
Area of Science:
- Systems biology
- Molecular genetics
- Yeast biology
Background:
- Gene regulatory networks (GRNs) control complex cellular processes like aging.
- Understanding GRNs is crucial for deciphering aging mechanisms.
- The Snf1 signaling pathway regulates glucose repression and is linked to aging.
Purpose of the Study:
- To infer and analyze the structure and function of an aging and glucose-repressed gene regulatory network in Saccharomyces cerevisiae.
- To identify key regulators and interactions within this network.
- To explore the role of these regulators in chronological lifespan.
Main Methods:
- Reverse-engineering strategy using transcriptional perturbations.
- Modeling gene interactions as a system of first-order ordinary differential equations.
- Experimental validation using promoter-reporter gene fusions, gene-deletion mutants, and chromatin immunoprecipitation.
Main Results:
- Successfully identified known interactions in a 10-gene Snf1 pathway network.
- Revealed a more complex network architecture than previously understood.
- Predicted and experimentally validated novel regulatory roles for Hxk2, Med8, and Mig1 in SNF1 gene regulation.
- Demonstrated Snf1, Hxk2, and Mig1 as modulators of chronological lifespan.
Conclusions:
- Network inference methods are valuable for characterizing regulators of complex phenotypes like aging.
- The study uncovered novel regulatory interactions influencing yeast aging.
- This work provides a foundation for further investigation into aging mechanisms and therapeutic targets.
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