How Yeast Can Inform Us about Healthy Aging

Macreadie, I and Luu, Y 2018, 'How Yeast Can Inform Us about Healthy Aging', Open Journal of Social Sciences, vol. 6, pp. 24-31.

Document type: Journal Article
Collection: Journal Articles

Attached Files
Name Description MIMEType Size
n2006090105.pdf Published Version application/pdf 342.35KB
Title How Yeast Can Inform Us about Healthy Aging
Author(s) Macreadie, I
Luu, Y
Year 2018
Journal name Open Journal of Social Sciences
Volume number 6
Start page 24
End page 31
Total pages 8
Publisher Scientific Research Publishing, Inc.
Abstract Yeasts are eukaryotes like us, and they have informed us about our cellular and molecular biology for many decades. They are unicellular and live with 6000 genes, carrying out many of the same processes that we do. Like us, yeast exhibit the same processes of aging, with telomere shortening, loss of mitochondrial function, reduced proteostasis, reduced robustness and stress. Some of these attributes are associated with aging and may not be the cause of aging. Therefore, it is important to consider attributes that clearly affect the fitness of cells. We have constructed yeast with a reporter of deleterious protein turnover. It involves the Alzheimer's amyloid beta peptide fused to a green fluorescent protein to aid its visualization in living cells. The use of this reporter enables high throughput assays to find compounds that can improve proteostasis in older cells. Compounds, like simvastatin, improve proteostasis and improve health outcomes inageing. Stress and biochemicals may decrease health and lifespan. Yeast can be used to study aging, drugs and stress, and to search for compounds that improve robustness in cells affected by drugs or stress.
Subject Cell Development, Proliferation and Death
Keyword(s) Genome Maintenance
Mitochondrial Function
Protein Folding
Protein Turnover
Saccharomyces cerevisiae
DOI - identifier 10.4236/jss.2018.66003
Copyright notice Copyright © 2018 by authors and Scientific Research Publishing Inc. This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
ISSN 2327-5952
Version Filter Type
Altmetric details:
Access Statistics: 29 Abstract Views, 30 File Downloads  -  Detailed Statistics
Created: Tue, 26 Mar 2019, 09:36:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us