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Quantitative real-time characterization of single-cell aging: from phenotypes to

Description: PUBLIC HEALTH RELEVANCE: Using quantitative systems biology approaches and microfluidics platforms, I propose to investigate how single yeast cells replicatively age in real-time. Since a number of genetic and cell biological processes are conserved between yeast and higher eukaryotic cells, our results will contribute significant insights into understanding ho complex eukaryotic cells age, including human cells.
Funding type: grant
Funder scheme: DP2
Start date: 2014-09-30
End date: 2019-05-31
Investigator: MURAT ACAR
Institution: YALE UNIVERSITY
Funded outputs count: 19
Funder award ID: DP2AG050461
OpenAlex ID: G2180622536
2019 · Thomas Z. Young, Ping Liu, et al. · Cell Reports · 17
2019 · E. A. Sarnoski, P. Liu, et al. · bioRxiv (Cold Spring Harbor Laboratory)
2018 · Gregory L. Elison, Yuan Xue, et al. · Cell Reports · 27
2018 · Xinyue Luo, Ruijie Song, et al. · BMC Systems Biology · 6
2018 · Ruijie Song, Ethan A. Sarnoski, et al. · iScience · 30
2018 · Ethan A. Sarnoski, Ruijie Song, et al. · iScience · 36
2018 · Gregory L. Elison, Murat Acar · Current Genetics · 8
2018 · Yuan Xue, Murat Acar · iScience · 35
2018 · Yuan Xue, Murat Acar · Current Genetics · 34
2018 · Meenakshi Chatterjee, Murat Acar · Science Advances · 21
2018 · Ping Liu, Murat Acar · Science Advances · 27
2017 · Ping Liu, Ruijie Song, et al. · Nature Communications · 37
2017 · Gregory L. Elison, Ruijie Song, et al. · Cell Reports · 9
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