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- W2076375071 endingPage "646" @default.
- W2076375071 startingPage "641" @default.
- W2076375071 abstract "Cells adjust gene expression profiles in response to environmental and physiological changes through a series of signal transduction pathways. Upon activation or deactivation, the terminal regulators bind to or dissociate from DNA, respectively, and modulate transcriptional activities on particular promoters. Traditionally, individual reporter genes have been used to detect the activity of the transcription factors. This approach works well for simple, non-overlapping transcription pathways. For complex transcriptional networks, more sophisticated tools are required to deconvolute the contribution of each regulator. Here, we demonstrate the utility of network component analysis in determining multiple transcription factor activities based on transcriptome profiles and available connectivity information regarding network connectivity. We used Escherichia coli carbon source transition from glucose to acetate as a model system. Key results from this analysis were either consistent with physiology or verified by using independent measurements." @default.
- W2076375071 created "2016-06-24" @default.
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- W2076375071 date "2003-12-23" @default.
- W2076375071 modified "2023-10-17" @default.
- W2076375071 title "Transcriptome-based determination of multiple transcription regulator activities in <i>Escherichia coli</i> by using network component analysis" @default.
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- W2076375071 doi "https://doi.org/10.1073/pnas.0305287101" @default.
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