2019
DOI: 10.1371/journal.pcbi.1006845
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Predicting the mechanism and rate of H-NS binding to AT-rich DNA

Abstract: Bacteria contain several nucleoid-associated proteins that organize their genomic DNA into the nucleoid by bending, wrapping or bridging DNA. The Histone-like Nucleoid Structuring protein H-NS found in many Gram-negative bacteria is a DNA bridging protein and can structure DNA by binding to two separate DNA duplexes or to adjacent sites on the same duplex, depending on external conditions. Several nucleotide sequences have been identified to which H-NS binds with high affinity, indicating H-NS prefers AT-rich … Show more

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Cited by 28 publications
(39 citation statements)
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References 63 publications
(114 reference statements)
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“…Histone‐like nucleoid‐structuring protein (H‐NS), one of the global regulators of transcription, plays roles enabling bacterial cells to adapt to a changing environment . H‐NS consists of 137 amino acid residues with oligomerization and DNA‐binding domains.…”
Section: Introductionmentioning
confidence: 99%
“…Histone‐like nucleoid‐structuring protein (H‐NS), one of the global regulators of transcription, plays roles enabling bacterial cells to adapt to a changing environment . H‐NS consists of 137 amino acid residues with oligomerization and DNA‐binding domains.…”
Section: Introductionmentioning
confidence: 99%
“…In E . coli , DNA compaction proteins IHF and HU preferentially bind AT-rich regions [ 30 ], and H-NS preferentially binds curved DNA [ 31 ]. However, the majority of periodic motifs in E .…”
Section: Discussionmentioning
confidence: 99%
“…When only those motifs that imparted DNA bending were thought to be periodic, models for their function were centered on a possible role in DNA compaction. In E. coli, DNA compaction proteins IHF and HU preferentially bind AT-rich regions [30], and H-NS preferentially binds curved DNA [31]. However, the majority of periodic motifs in E. coli are neither AT-rich nor involved in DNA bending (Fig 4).…”
Section: Plos Geneticsmentioning
confidence: 99%
“…Methods aimed at improving the analysis of transitions are thus commendable since significant information has to be extracted from a large quantity of data. Our recent work on water autoionization 5 and DNA interaction with H‐NS 6 has highlighted this necessity: massive simulation campaigns requiring extremely involved postprocessing analysis.…”
Section: Introductionmentioning
confidence: 99%