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Regulation of the Nucleosome Repeat Length In Vivo by the DNA Sequence, Protein Concentrations and Long-Range Interactions

Overview of attention for article published in PLoS Computational Biology, July 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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15 X users
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2 Wikipedia pages

Citations

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84 Dimensions

Readers on

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113 Mendeley
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5 CiteULike
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Title
Regulation of the Nucleosome Repeat Length In Vivo by the DNA Sequence, Protein Concentrations and Long-Range Interactions
Published in
PLoS Computational Biology, July 2014
DOI 10.1371/journal.pcbi.1003698
Pubmed ID
Authors

Daria A. Beshnova, Andrey G. Cherstvy, Yevhen Vainshtein, Vladimir B. Teif

Abstract

The nucleosome repeat length (NRL) is an integral chromatin property important for its biological functions. Recent experiments revealed several conflicting trends of the NRL dependence on the concentrations of histones and other architectural chromatin proteins, both in vitro and in vivo, but a systematic theoretical description of NRL as a function of DNA sequence and epigenetic determinants is currently lacking. To address this problem, we have performed an integrative biophysical and bioinformatics analysis in species ranging from yeast to frog to mouse where NRL was studied as a function of various parameters. We show that in simple eukaryotes such as yeast, a lower limit for the NRL value exists, determined by internucleosome interactions and remodeler action. For higher eukaryotes, also the upper limit exists since NRL is an increasing but saturating function of the linker histone concentration. Counterintuitively, smaller H1 variants or non-histone architectural proteins can initiate larger effects on the NRL due to entropic reasons. Furthermore, we demonstrate that different regimes of the NRL dependence on histone concentrations exist depending on whether DNA sequence-specific effects dominate over boundary effects or vice versa. We consider several classes of genomic regions with apparently different regimes of the NRL variation. As one extreme, our analysis reveals that the period of oscillations of the nucleosome density around bound RNA polymerase coincides with the period of oscillations of positioning sites of the corresponding DNA sequence. At another extreme, we show that although mouse major satellite repeats intrinsically encode well-defined nucleosome preferences, they have no unique nucleosome arrangement and can undergo a switch between two distinct types of nucleosome positioning.

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X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United States 2 2%
Netherlands 1 <1%
China 1 <1%
Czechia 1 <1%
Greece 1 <1%
Korea, Republic of 1 <1%
Unknown 104 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 33%
Researcher 25 22%
Student > Master 11 10%
Professor 11 10%
Student > Bachelor 6 5%
Other 13 12%
Unknown 10 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 36%
Agricultural and Biological Sciences 38 34%
Physics and Astronomy 9 8%
Chemistry 5 4%
Mathematics 2 2%
Other 7 6%
Unknown 11 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 July 2021.
All research outputs
#3,494,276
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#3,040
of 9,043 outputs
Outputs of similar age
#33,168
of 243,107 outputs
Outputs of similar age from PLoS Computational Biology
#45
of 162 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 243,107 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.