2013
DOI: 10.1039/c3mb25515h
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DNA thermodynamic stability and supercoil dynamics determine the gene expression program during the bacterial growth cycle

Abstract: The chromosomal DNA polymer constituting the cellular genetic material is primarily a device for coding information. Whilst the gene sequences comprise the digital (discontinuous) linear code, physiological alterations of the DNA superhelical density generate in addition analog (continuous) three-dimensional information essential for regulation of both chromosome compaction and gene expression. Insight into the relationship between the DNA analog information and the digital linear code is of fundamental import… Show more

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Cited by 56 publications
(109 citation statements)
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“…Nevertheless, in bacteria, in addition to transcription-dependent torsional coupling, the maintenance of negative superhelical density by DNA gyrase is also crucial for the regulation of gene expression. Notably, the colocalization of gyrase binding sites with highly active and highly supercoil-dependent rrn genes (Sobetzko et al 2012(Sobetzko et al , 2013) implies a more nuanced complexity of regulation.…”
Section: Gradients Of Superhelicity and Protein Bindingmentioning
confidence: 99%
“…Nevertheless, in bacteria, in addition to transcription-dependent torsional coupling, the maintenance of negative superhelical density by DNA gyrase is also crucial for the regulation of gene expression. Notably, the colocalization of gyrase binding sites with highly active and highly supercoil-dependent rrn genes (Sobetzko et al 2012(Sobetzko et al , 2013) implies a more nuanced complexity of regulation.…”
Section: Gradients Of Superhelicity and Protein Bindingmentioning
confidence: 99%
“…Resulting expression curves were verified by fluorescence measurements of yfp-coupled promoters exhibiting different temporal patterns. The wild type data was first published in [31]. The fis and hns mutant strain data is new to this work.…”
Section: Gene Expression Analysismentioning
confidence: 92%
“…Before application of the newly defined methods, we present an impression of the timeresolved RNA-seq data measured in the wild type (first published in [31]) and the two mutants fis and hns. The relevant experiments and data transformations are described in Sections "Cell growth conditions and mRNA isolation" and "Gene expression analysis".…”
Section: Time-series Gene Expression Datamentioning
confidence: 99%
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