Evidence map›Paper›PMID 29506273›Full record

ArticleNucleic acids research2018

DNA sliding in nucleosomes via twist defect propagation revealed by molecular simulations.

Giovanni B Brandani, Toru Niina, Cheng Tan, Shoji Takada

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed.

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  14. Sequence Dependence in Nucleosome Dynamics.The journal of physical chemistry. B · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Giovanni B BrandaniDepartment of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan.
Toru NiinaDepartment of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan.
Cheng TanDepartment of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan.
Shoji TakadaDepartment of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While nucleosomes are highly stable structures as fundamental units of chromatin, they also slide along the DNA, either spontaneously or by active remodelers. Here, we investigate the microscopic mechanisms of nucleosome sliding by multiscale molecular simulations, characterizing how the screw-like motion of DNA proceeds via the formation and propagation of twist defects. Firstly, coarse-grained molecular simulations reveal that the sliding dynamics is highly dependent on DNA sequence. Depending on the sequence and the nucleosome super-helical location, we find two distinct types of twist defects: a locally under-twisted DNA region, previously observed in crystal structures, and a locally over-twisted DNA, an unprecedented feature. The stability of the over-twist defect was confirmed via all-atom simulations. Analysis of our trajectories via Markov state modeling highlights how the sequence-dependence of the sliding dynamics is due to the different twist defect energy costs, and in particular how nucleosome regions where defects cannot easily form introduce the kinetic bottlenecks slowing down repositioning. Twist defects can also mediate sliding of nucleosomes made with strong positioning sequences, albeit at a much lower diffusion coefficient, due to a high-energy intermediate state. Finally, we discuss how chromatin remodelers may exploit these spontaneous fluctuations to induce unidirectional sliding of nucleosomes.

Indexed as

Chromatin Assembly and DisassemblyMolecular Dynamics SimulationNucleic Acid ConformationChromatinDNAHistonesNucleosomesProtein BindingProtein ConformationChromatinDNAHistonesNucleosomes

Identifiers

PMID29506273
PMCPMC5887990

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.