A bottom-up approach to gene regulation

Article Abstract:

A promoter to allow simultaneous repression and activation of gene expression in Escherichia coli is engineered and its behavior in synthetic gene networks under increasingly complex conditions, such as unregulated, repressed, activated and simultaneously repressed and activated, is studied. The result show that the properties of regulatory subsystem can be used to predict the behavior of large, more complex regulatory networks, and this bottom-up approach can provide insight into gene regulation.

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Origins of extrinsic variability in eukaryotic gene expression

Article Abstract:

Computational modeling is combined with fluorescence data generated from multiple promoter gene inserts in Saccharomyces cerevisiae to identify two major sources of extrinsic variability. The results highlight the importance of the interplay of gene regulatory networks with population heterogeneity for understanding the origin of cellular diversity.

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Noise in eukaryotic gene expression

Article Abstract:

In contrast to observations in prokaryotes, the stochasticity noise arising in Saccharomyces cerevisiae can be modulated at the translational level. An analysis on the properties of this noise implicates the role of noise in phenotypic variation and cellular differentiation.

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