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김동혁

Kim, Donghyuk
Systems Biology and Machine Learning Lab.
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Genome-scale reconstruction of the sigma factor network in Escherichia coli: topology and functional states

Author(s)
Cho, Byung-KwanKim, DonghyukKnight, Eric M.Zengler, KarstenPalsson, Bernhard O.
Issued Date
2014-01
DOI
10.1186/1741-7007-12-4
URI
https://scholarworks.unist.ac.kr/handle/201301/24288
Fulltext
https://bmcbiol.biomedcentral.com/articles/10.1186/1741-7007-12-4
Citation
BMC BIOLOGY, v.12, pp.4
Abstract
Background: At the beginning of the transcription process, the RNA polymerase (RNAP) core enzyme requires a sigma-factor to recognize the genomic location at which the process initiates. Although the crucial role of sigma-factors has long been appreciated and characterized for many individual promoters, we do not yet have a genome-scale assessment of their function. Results: Using multiple genome-scale measurements, we elucidated the network of s-factor and promoter interactions in Escherichia coli. The reconstructed network includes 4,724 sigma-factor-specific promoters corresponding to transcription units (TUs), representing an increase of more than 300% over what has been previously reported. The reconstructed network was used to investigate competition between alternative sigma-factors (the sigma(70) and sigma(38) regulons), confirming the competition model of sigma substitution and negative regulation by alternative s-factors. Comparison with sigma-factor binding in Klebsiella pneumoniae showed that transcriptional regulation of conserved genes in closely related species is unexpectedly divergent. Conclusions: The reconstructed network reveals the regulatory complexity of the promoter architecture in prokaryotic genomes, and opens a path to the direct determination of the systems biology of their transcriptional regulatory networks.
Publisher
BIOMED CENTRAL LTD
ISSN
1741-7007

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