Measurement and modeling of transcriptional noise in the cell cycle regulatory network

dc.contributor.author A Ball, David
dc.contributor.author Adames, Neil R.
dc.contributor.author Reischmann, Nadine
dc.contributor.author Barik, Debashis
dc.contributor.author Franck, Christopher T.
dc.contributor.author Tyson, John J.
dc.contributor.author Peccoud, Jean
dc.date.accessioned 2022-03-27T09:44:21Z
dc.date.available 2022-03-27T09:44:21Z
dc.date.issued 2013-01-01
dc.description.abstract Fifty years of genetic and molecular experiments have revealed a wealth of molecular interactions involved in the control of cell division. In light of the complexity of this control system, mathematical modeling has proved useful in analyzing biochemical hypotheses that can be tested experimentally. Stochastic modeling has been especially useful in understanding the intrinsic variability of cell cycle events, but stochastic modeling has been hampered by a lack of reliable data on the absolute numbers of mRNA molecules per cell for cell cycle control genes. To fill this void, we used fluorescence in situ hybridization (FISH) to collect single molecule mRNA data for 16 cell cycle regulators in budding yeast, Saccharomyces cerevisiae. From statistical distributions of single-cell mRNA counts, we are able to extract the periodicity, timing, and magnitude of transcript abundance during the cell cycle. We used these parameters to improve a stochastic model of the cell cycle to better reflect the variability of molecular and phenotypic data on cell cycle progression in budding yeast. c 2013 Landes Bioscience.
dc.identifier.citation Cell Cycle. v.12(19)
dc.identifier.issn 15384101
dc.identifier.uri 10.4161/cc.26257
dc.identifier.uri http://www.tandfonline.com/doi/abs/10.4161/cc.26257
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/13253
dc.subject Cell cycle
dc.subject Gene expression noise
dc.subject Saccharomyces cerevisiae
dc.subject Single mRNA FISH
dc.subject Stochastic modeling
dc.title Measurement and modeling of transcriptional noise in the cell cycle regulatory network
dc.type Journal. Article
dspace.entity.type
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