Titlebook: Cell Cycle Oscillators; Methods and Protocol Amanda S. Coutts,Louise Weston Book 2016 Springer Science+Business Media New York 2016 cell cy

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Role of Computational Modeling in Understanding Cell Cycle Oscillatorsons. Here we review the basic features and characteristics of biological oscillators, discussing from a computational modeling point of view their specific architectures and the current knowledge about the dynamics that the life evolution selected to drive cell cycle oscillations.

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The Use of SNAP Labeling to Study Cell Cycle Oscillatory Proteinsyclin B proteolysis. To depict the proteolytic profile, a chimeric cyclin B-SNAP reporter molecule that can be labeled with a fluorochrome-carrying SNAP substrate was generated for measurement of the decline in fluorescence intensity via live-cell imaging. This reporter system can be adapted for other cell cycle oscillatory proteins.

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Nutrient

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Unaware That I was Walking Backwardsorylation during cell cycle progression in live single cell assays. Because this approach proved to be powerful, we provide here guidelines for the development of biosensors for any phosphorylation site of interest.

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Understanding Where You Came Fromycle TF, our method also assigned specific cell cycle phases in which the TF functions and identified the time lag for the TF to exert regulatory effects on its target genes. Moreover, our method can identify novel cell cycle-regulated genes as a by-product.

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Spatiotemporal Investigation of Phosphorylation Events During Cell Cycle Progressionorylation during cell cycle progression in live single cell assays. Because this approach proved to be powerful, we provide here guidelines for the development of biosensors for any phosphorylation site of interest.

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