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A Simple Histone Code Opens Many Paths to Epigenetics

Overview of attention for article published in PLoS Computational Biology, August 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
124 Mendeley
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5 CiteULike
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Title
A Simple Histone Code Opens Many Paths to Epigenetics
Published in
PLoS Computational Biology, August 2012
DOI 10.1371/journal.pcbi.1002643
Pubmed ID
Authors

Kim Sneppen, Ian B. Dodd

Abstract

Nucleosomes can be covalently modified by addition of various chemical groups on several of their exposed histone amino acids. These modifications are added and removed by enzymes (writers) and can be recognized by nucleosome-binding proteins (readers). Linking a reader domain and a writer domain that recognize and create the same modification state should allow nucleosomes in a particular modification state to recruit enzymes that create that modification state on nearby nucleosomes. This positive feedback has the potential to provide the alternative stable and heritable states required for epigenetic memory. However, analysis of simple histone codes involving interconversions between only two or three types of modified nucleosomes has revealed only a few circuit designs that allow heritable bistability. Here we show by computer simulations that a histone code involving alternative modifications at two histone positions, producing four modification states, combined with reader-writer proteins able to distinguish these states, allows for hundreds of different circuits capable of heritable bistability. These expanded possibilities result from multiple ways of generating two-step cooperativity in the positive feedback--through alternative pathways and an additional, novel cooperativity motif. Our analysis reveals other properties of such epigenetic circuits. They are most robust when the dominant nucleosome types are different at both modification positions and are not the type inserted after DNA replication. The dominant nucleosome types often recruit enzymes that create their own type or destroy the opposing type, but never catalyze their own destruction. The circuits appear to be evolutionary accessible; most circuits can be changed stepwise into almost any other circuit without losing heritable bistability. Thus, our analysis indicates that systems that utilize an expanded histone code have huge potential for generating stable and heritable nucleosome modification states and identifies the critical features of such systems.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 7%
France 3 2%
Spain 2 2%
Germany 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Portugal 1 <1%
Japan 1 <1%
Czechia 1 <1%
Other 0 0%
Unknown 104 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 28%
Student > Ph. D. Student 29 23%
Student > Master 14 11%
Student > Bachelor 9 7%
Professor 7 6%
Other 20 16%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 61%
Biochemistry, Genetics and Molecular Biology 22 18%
Computer Science 4 3%
Medicine and Dentistry 4 3%
Engineering 3 2%
Other 5 4%
Unknown 10 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 07 September 2012.
All research outputs
#2,827,116
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#2,541
of 8,958 outputs
Outputs of similar age
#17,812
of 174,031 outputs
Outputs of similar age from PLoS Computational Biology
#25
of 101 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,958 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 71% 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 174,031 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 89% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.