Trajectories of Aging: How Systems Biology in Yeast Can Illuminate Mechanisms of Personalized Aging. Issue 5 (4th November 2019)

• Record Type: Journal Article
• Authors: Crane, Matthew M.; Chen, Kenneth L.; Blue, Ben W.; Kaeberlein, Matt
• Editors: Chung, Maxey C. M.; Kennedy, Brian K.
• Is Part Of: Proteomics. Volume 20:Issue 5/6(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-11-04
• Subjects: budding yeast -- longevity -- replicative lifespan -- Saccharomyces cerevisiae -- single cells; Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.201800420
• Languages: English
• ISSNs: 1615-9853

Abstract

Abstract: All organisms age, but the extent to which all organisms age the same way remains a fundamental unanswered question in biology. Across species, it is now clear that at least some aspects of aging are highly conserved and are perhaps universal, but other mechanisms of aging are private to individual species or sets of closely related species. Within the same species, however, it has generally been assumed that the molecular mechanisms of aging are largely invariant from one individual to the next. With the development of new tools for studying aging at the individual cell level in budding yeast, recent data has called this assumption into question. There is emerging evidence that individual yeast mother cells may undergo fundamentally different trajectories of aging. Individual trajectories of aging are difficult to study by traditional population level assays, but through the application of systems biology approaches combined with novel microfluidic technologies, it is now possible to observe and study these phenomena in real time. Understanding the spectrum of mechanisms that determine how different individuals age is a necessary step toward the goal of personalized geroscience, where healthy longevity is optimized for each individual.