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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054985/ https://www.ncbi.nlm.nih.gov/pubmed/33880425 http://dx.doi.org/10.1016/j.tma.2019.09.002 |
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author | O’Laughlin, Richard Jin, Meng Li, Yang Pillus, Lorraine Tsimring, Lev S. Hasty, Jeff Hao, Nan |
author_facet | O’Laughlin, Richard Jin, Meng Li, Yang Pillus, Lorraine Tsimring, Lev S. Hasty, Jeff Hao, Nan |
author_sort | O’Laughlin, Richard |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8054985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-80549852021-04-19 Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae O’Laughlin, Richard Jin, Meng Li, Yang Pillus, Lorraine Tsimring, Lev S. Hasty, Jeff Hao, Nan Transl Med Aging Article 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. 2019-09-12 2020 /pmc/articles/PMC8054985/ /pubmed/33880425 http://dx.doi.org/10.1016/j.tma.2019.09.002 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Article O’Laughlin, Richard Jin, Meng Li, Yang Pillus, Lorraine Tsimring, Lev S. Hasty, Jeff Hao, Nan Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae |
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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054985/ https://www.ncbi.nlm.nih.gov/pubmed/33880425 http://dx.doi.org/10.1016/j.tma.2019.09.002 |
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