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Colocalization of Coregulated Genes: A Steered Molecular Dynamics Study of Human Chromosome 19

Overview of attention for article published in PLoS Computational Biology, March 2013
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
5 X users
facebook
3 Facebook pages
googleplus
9 Google+ users

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
108 Mendeley
citeulike
4 CiteULike
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Title
Colocalization of Coregulated Genes: A Steered Molecular Dynamics Study of Human Chromosome 19
Published in
PLoS Computational Biology, March 2013
DOI 10.1371/journal.pcbi.1003019
Pubmed ID
Authors

Marco Di Stefano, Angelo Rosa, Vincenzo Belcastro, Diego di Bernardo, Cristian Micheletti

Abstract

The connection between chromatin nuclear organization and gene activity is vividly illustrated by the observation that transcriptional coregulation of certain genes appears to be directly influenced by their spatial proximity. This fact poses the more general question of whether it is at all feasible that the numerous genes that are coregulated on a given chromosome, especially those at large genomic distances, might become proximate inside the nucleus. This problem is studied here using steered molecular dynamics simulations in order to enforce the colocalization of thousands of knowledge-based gene sequences on a model for the gene-rich human chromosome 19. Remarkably, it is found that most (≈ 88%) gene pairs can be brought simultaneously into contact. This is made possible by the low degree of intra-chromosome entanglement and the large number of cliques in the gene coregulatory network. A clique is a set of genes coregulated all together as a group. The constrained conformations for the model chromosome 19 are further shown to be organized in spatial macrodomains that are similar to those inferred from recent HiC measurements. The findings indicate that gene coregulation and colocalization are largely compatible and that this relationship can be exploited to draft the overall spatial organization of the chromosome in vivo. The more general validity and implications of these findings could be investigated by applying to other eukaryotic chromosomes the general and transferable computational strategy introduced here.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 3 3%
United Kingdom 1 <1%
United States 1 <1%
Spain 1 <1%
Unknown 102 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 28%
Student > Ph. D. Student 22 20%
Student > Master 9 8%
Professor > Associate Professor 8 7%
Professor 5 5%
Other 23 21%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 39%
Physics and Astronomy 20 19%
Biochemistry, Genetics and Molecular Biology 19 18%
Engineering 6 6%
Computer Science 5 5%
Other 4 4%
Unknown 12 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 03 July 2016.
All research outputs
#1,290,662
of 25,461,852 outputs
Outputs from PLoS Computational Biology
#1,074
of 8,981 outputs
Outputs of similar age
#9,651
of 210,462 outputs
Outputs of similar age from PLoS Computational Biology
#9
of 153 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,981 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 done well, scoring higher than 88% 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 210,462 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.