2015
DOI: 10.1073/pnas.1506054112
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Systematic analysis of asymmetric partitioning of yeast proteome between mother and daughter cells reveals “aging factors” and mechanism of lifespan asymmetry

Abstract: Budding yeast divides asymmetrically, giving rise to a mother cell that progressively ages and a daughter cell with full lifespan. It is generally assumed that mother cells retain damaged, lifespan limiting materials ("aging factors") through asymmetric division. However, the identity of these aging factors and the mechanisms through which they limit lifespan remain poorly understood. Using a flow cytometry-based, high-throughput approach, we quantified the asymmetric partitioning of the yeast proteome between… Show more

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Cited by 55 publications
(53 citation statements)
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“…), and mother‐enriched proteins that show higher abundance in mother cells than in daughter cells (Yang et al . ). Numerals in parentheses denote the number of proteins identified in each study.…”
Section: Resultsmentioning
confidence: 97%
“…), and mother‐enriched proteins that show higher abundance in mother cells than in daughter cells (Yang et al . ). Numerals in parentheses denote the number of proteins identified in each study.…”
Section: Resultsmentioning
confidence: 97%
“…Moreover, when combined with fluorescently-labeled proteins or dyes, researchers can track changes in cell physiology (e.g. organelle structure or function 9,11,32,33 , protein level or localization 12,13,34,35 , promoter activity 8,10,14 , daughter-cell birth characteristics 36,37 ) across the aging process. Importantly, these measures can be associated at single-cell resolution with lifespan or other age-associated changes (e.g.…”
Section: Discoveriesmentioning
confidence: 99%
“…MS‐based proteomic workflows coupled with metabolic (stable isotope) labeling are most often applied for the calculation of protein turnover rates or the identification of LLPs. However, other methods such as live‐imaging of fluorescently labeled proteins have also been successfully employed . MS approaches hold a clear advantage due to minimal interference on protein functions and cellular processes by the incorporation of stable isotopes.…”
Section: Protein Turnover Measurements Using Comprehensive Proteomicsmentioning
confidence: 99%