Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae
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 dr...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2020-01-01
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| Series: | Translational Medicine of Aging |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468501119300112 |
| _version_ | 1818650881693843456 |
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| author | Richard O'Laughlin Meng Jin Yang Li Lorraine Pillus Lev S. Tsimring Jeff Hasty Nan Hao |
| author_facet | Richard O'Laughlin Meng Jin Yang Li Lorraine Pillus Lev S. Tsimring Jeff Hasty Nan Hao |
| author_sort | Richard O'Laughlin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T01:57:16Z |
| format | Article |
| id | doaj.art-15f33c91c5894ffb88187e73b51b188c |
| institution | Directory Open Access Journal |
| issn | 2468-5011 |
| language | English |
| last_indexed | 2024-12-17T01:57:16Z |
| publishDate | 2020-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Translational Medicine of Aging |
| spelling | doaj.art-15f33c91c5894ffb88187e73b51b188c2022-12-21T22:07:55ZengKeAi Communications Co., Ltd.Translational Medicine of Aging2468-50112020-01-014151160Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiaeRichard O'Laughlin0Meng Jin1Yang Li2Lorraine Pillus3Lev S. Tsimring4Jeff Hasty5Nan Hao6Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USABioCircuits Institute, University of California San Diego, La Jolla, CA, 92093, USASection of Molecular Biology, Division of Biological Sciences, University of California San Diego, La Jolla, CA, 92093, USASection of Molecular Biology, Division of Biological Sciences, University of California San Diego, La Jolla, CA, 92093, USA; UCSD Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USABioCircuits Institute, University of California San Diego, La Jolla, CA, 92093, USADepartment of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA; BioCircuits Institute, University of California San Diego, La Jolla, CA, 92093, USA; Section of Molecular Biology, Division of Biological Sciences, University of California San Diego, La Jolla, CA, 92093, USABioCircuits Institute, University of California San Diego, La Jolla, CA, 92093, USA; Section of Molecular Biology, Division of Biological Sciences, University of California San Diego, La Jolla, CA, 92093, USA; Corresponding author. BioCircuits Institute, University of California San Diego, La Jolla, CA, 92093, USA.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.http://www.sciencedirect.com/science/article/pii/S2468501119300112 |
| spellingShingle | Richard O'Laughlin Meng Jin Yang Li Lorraine Pillus Lev S. Tsimring Jeff Hasty Nan Hao Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae Translational Medicine of Aging |
| title | Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae |
| title_full | Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae |
| title_fullStr | Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae |
| title_full_unstemmed | Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae |
| title_short | Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae |
| title_sort | advances in quantitative biology methods for studying replicative aging in saccharomyces cerevisiae |
| url | http://www.sciencedirect.com/science/article/pii/S2468501119300112 |
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