ArticleFEMS yeast research2013
End-of-life cell cycle arrest contributes to stochasticity of yeast replicative aging.
Article in FEMS yeast research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed.
- Article
- Senescence in yeast is associated with amplified linear fragments of chromosome XII rather than ribosomal DNA circle accumulation.PLoS biology · 2023Article
- A programmable fate decision landscape underlies single-cell aging in yeast.Science (New York, N.Y.) · 2020Article
- Advances in quantitative biology methods for studying replicative aging inTranslational medicine of aging · 2020Article
- Proteostasis collapse, a hallmark of aging, hinders the chaperone-Start network and arrests cells in G1.eLife · 2019Article
- High-Throughput Yeast Aging Analysis for Cryptococcus (HYAAC) microfluidic device streamlines aging studies inCommunications biology · 2019Article
- Rb analog Whi5 regulates G1 to S transition and cell size but not replicative lifespan in budding yeast.Translational medicine of aging · 2019Article
- Article
- Article
- Article
- Microfluidic technologies for yeast replicative lifespan studies.Mechanisms of ageing and development · 2017Review
- Evidence for the hallmarks of human aging in replicatively aging yeast.Microbial cell (Graz, Austria) · 2016Review
- The Natural Variation in Lifespans of Single Yeast Cells Is Related to Variation in Cell Size, Ribosomal Protein, and Division Time.PloS one · 2016Article
- A Comprehensive Analysis of Replicative Lifespan in 4,698 Single-Gene Deletion Strains Uncovers Conserved Mechanisms of Aging.Cell metabolism · 2015Article
- High-throughput analysis of yeast replicative aging using a microfluidic system.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Inactivation of yeast Isw2 chromatin remodeling enzyme mimics longevity effect of calorie restriction via induction of genotoxic stress response.Cell metabolism · 2014Article
- Quasi-programmed aging of budding yeast: a trade-off between programmed processes of cell proliferation, differentiation, stress response, survival and death defines yeast lifespan.Cell cycle (Georgetown, Tex.) · 2014Review
- Buffering the pH of the culture medium does not extend yeast replicative lifespan.F1000Research · 2013Article
Corrections and comments
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Authors and funding
38 authors.
Funding
Abstract
There is growing evidence that stochastic events play an important role in determining individual longevity. Studies in model organisms have demonstrated that genetically identical populations maintained under apparently equivalent environmental conditions display individual variation in life span that can be modeled by the Gompertz-Makeham law of mortality. Here, we report that within genetically identical haploid and diploid wild-type populations, shorter-lived cells tend to arrest in a budded state, while cells that arrest in an unbudded state are significantly longer-lived. This relationship is particularly notable in diploid BY4743 cells, where mother cells that arrest in a budded state have a shorter mean life span (25.6 vs. 35.6) and larger coefficient of variance with respect to individual life span (0.42 vs. 0.32) than cells that arrest in an unbudded state. Mutations that cause genomic instability tend to shorten life span and increase the proportion of the population that arrest in a budded state. These observations suggest that randomly occurring damage may contribute to stochasticity during replicative aging by causing a subset of the population to terminally arrest prematurely in the S or G2 phase of the cell cycle.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.