Makale detayı · 2015
Yeast Replicator: A High-Throughput Multiplexed Microfluidics Platform for Automated Measurements of Single-Cell Aging
Dergi
Cell Reports- Yıl
- 2015
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS dergi adı Cell Reports
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
The yeast Saccharomyces cerevisiae is a model organism for replicative aging studies; however, conventional lifespan measurement platforms have several limitations. Here, we present a microfluidics platform that facilitates simultaneous lifespan and gene expression measurements of aging yeast cells. Our multiplexed high-throughput platform offers the capability to perform independent lifespan experiments using different yeast strains or growth media. Using this platform in minimal media environments containing glucose, we measured the full lifespan of individual yeast cells in wild-type and canonical gene deletion backgrounds. Compared to glucose, in galactose we observed a 16.8% decrease in replicative lifespan accompanied by an ∼2-fold increase in single-cell oxidative stress levels reported by PSOD1-mCherry. Using PGAL1-YFP to measure the activity of the bistable galactose network, we saw that OFF and ON cells are similar in their lifespan. Our work shows that aging cells are committed to a single phenotypic state throughout their lifespan.
Konular
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Yerel katalogda bu makaleye atıf yapan 15 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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- The generational scalability of single-cell replicative aging 2018
- Noise reduction facilitated by dosage compensation in gene networks 2016
- Stochastic modeling of aging cells reveals how damage accumulation, repair, and cell-division asymmetry affect clonal senescence and population fitness 2019
- Quantitative Insights into Age-Associated DNA-Repair Inefficiency in Single Cells 2019
- Modeling aging and its impact on cellular function and organismal behavior 2021
- A cell size- and cell cycle-aware stochastic model for predicting time-dynamic gene network activity in individual cells 2015
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