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Microfluids-enabled Quantitative Systems Biology Approaches to Construct Gene Networks Regulating Yeast Lifespan and Genetic Noise Dynamics During Aging

Description: Applying a quantitative network construction algorithm on replicative lifespan data collected from live yeast cells in microfluidic environments, this proposal aims to construct aging modules governing the aging and noise dynamics of single cells. Due to the conserved nature of many genetic and cell biological processes between yeast and higher eukaryotes, we expect our results will shed light on the composition of the aging network in human cells.!
Funding type: research
Funder scheme: R01
Start date: 2018-06-01
End date: 2022-11-30
Investigator: MURAT ACAR
Institution: YALE UNIVERSITY
Funded outputs count: 11
Funder award ID: R01GM127870
OpenAlex ID: G4602900826
2023 · Tolga T. Ölmez, David F. Moreno, et al. · Nature Communications · 12
2022 · Emerson Santiago, David F Moreno, et al. · Current Zoology · 23
2021 · Emerson Santiago, David F. Moreno, et al. · Experimental Gerontology · 12
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 · Ruijie Song, Ethan A. Sarnoski, et al. · iScience · 30
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