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Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae
- Source :
- Translational Medicine of Aging, Vol 4, Iss, Pp 151-160 (2020)
- Publication Year :
- 2020
- Publisher :
- KeAi Communications Co., Ltd., 2020.
-
Abstract
- Aging is a complex, yet pervasive phenomenon in biology. As human cells steadily succumb to the deteriorating effects of aging, so too comes a host of age-related ailments such as neurodegenerative disorders, cardiovascular disease and cancer. Therefore, elucidation of the molecular networks that drive aging is of paramount importance to human health. Progress toward this goal has been aided by studies from simple model organisms such as Saccharomyces cerevisiae. While work in budding yeast has already revealed much about the basic biology of aging as well as a number of evolutionarily conserved pathways involved in this process, recent technological advances are poised to greatly expand our knowledge of aging in this simple eukaryote. Here, we review the latest developments in microfluidics, single-cell analysis and high-throughput technologies for studying single-cell replicative aging in S. cerevisiae. We detail the challenges each of these methods addresses as well as the unique insights into aging that each has provided. We conclude with a discussion of potential future applications of these techniques as well as the importance of single-cell dynamics and quantitative biology approaches for understanding cell aging.
- Subjects :
- 0301 basic medicine
Aging
biology
Physiology
ved/biology
Saccharomyces cerevisiae
ved/biology.organism_classification_rank.species
lcsh:R
lcsh:Medicine
Cell Biology
Computational biology
biology.organism_classification
Budding yeast
Quantitative biology
03 medical and health sciences
Human health
Molecular network
030104 developmental biology
0302 clinical medicine
Neurology (clinical)
Geriatrics and Gerontology
Model organism
Cell aging
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 24685011
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- Translational Medicine of Aging
- Accession number :
- edsair.doi.dedup.....f23c02571cdfe7f4cb7cd36ed1bbf271