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Modelling genome-wide topological associating domains in mouse embryonic stem cells

Overview of attention for article published in Chromosome Research, January 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Title
Modelling genome-wide topological associating domains in mouse embryonic stem cells
Published in
Chromosome Research, January 2017
DOI 10.1007/s10577-016-9544-6
Pubmed ID
Authors

Y. Zhan, L. Giorgetti, G. Tiana

Abstract

Chromosome conformation capture (3C)-based techniques such as chromosome conformation capture carbon copy (5C) and Hi-C revealed that the folding of mammalian chromosomes is highly hierarchical. A fundamental structural unit in the hierarchy is represented by topologically associating domains (TADs), sub-megabase regions of the genome within which the chromatin fibre preferentially interacts. 3C-based methods provide the mean contact probabilities between chromosomal loci, averaged over a large number of cells, and do not give immediate access to the single-cell conformations of the chromatin fibre. However, coarse-grained polymer models based on 5C data can be used to extract the single-cell conformations of single TADs. Here, we extend this approach to analyse around 2500 TADs in murine embryonic stem cells based on high-resolution Hi-C data. This allowed to predict the cell-to-cell variability in single contacts within genome-wide TADs and correlations between them. Based on these results, we predict that TADs are more similar to ideal chains than to globules in terms of their physical size and three-dimensional shape distribution. Furthermore, we show that their physical size and the degree of structural anisotropy of single TADs are correlated with the level of transcriptional activity of the genes that it harbours. Finally, we show that a large number of multiplets of genomic loci co-localize more often than expected by random, and these loci are particularly enriched in promoters, enhancers and CTCF-bound sites. These results provide the first genome-wide structural reconstruction of TADs using polymeric models obeying the laws of thermodynamics and reveal important universal trends in the correlation between chromosome structure and transcription.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Mexico 1 2%
Lithuania 1 2%
Denmark 1 2%
Unknown 46 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 9 18%
Student > Bachelor 5 10%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Other 10 20%
Unknown 7 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 40%
Agricultural and Biological Sciences 14 28%
Physics and Astronomy 3 6%
Computer Science 2 4%
Chemistry 2 4%
Other 3 6%
Unknown 6 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 September 2017.
All research outputs
#6,690,291
of 24,692,658 outputs
Outputs from Chromosome Research
#114
of 533 outputs
Outputs of similar age
#117,684
of 426,751 outputs
Outputs of similar age from Chromosome Research
#5
of 12 outputs
Altmetric has tracked 24,692,658 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 533 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 78% 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 426,751 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 12 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 66% of its contemporaries.