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Glucocorticoid receptor and nuclear factor kappa-b affect three-dimensional chromatin organization

Overview of attention for article published in Genome Biology, December 2015
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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 (83rd percentile)

Mentioned by

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14 X users
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1 Google+ user

Citations

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50 Dimensions

Readers on

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94 Mendeley
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2 CiteULike
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Title
Glucocorticoid receptor and nuclear factor kappa-b affect three-dimensional chromatin organization
Published in
Genome Biology, December 2015
DOI 10.1186/s13059-015-0832-9
Pubmed ID
Authors

Tatyana Kuznetsova, Shuang-Yin Wang, Nagesha A. Rao, Amit Mandoli, Joost H. A. Martens, Nils Rother, Aafke Aartse, Laszlo Groh, Eva M. Janssen-Megens, Guoliang Li, Yijun Ruan, Colin Logie, Hendrik G. Stunnenberg

Abstract

The impact of signal-dependent transcription factors, such as glucocorticoid receptor and nuclear factor kappa-b, on the three-dimensional organization of chromatin remains a topic of discussion. The possible scenarios range from remodeling of higher order chromatin architecture by activated transcription factors to recruitment of activated transcription factors to pre-established long-range interactions. Using circular chromosome conformation capture coupled with next generation sequencing and high-resolution chromatin interaction analysis by paired-end tag sequencing of P300, we observed agonist-induced changes in long-range chromatin interactions, and uncovered interconnected enhancer-enhancer hubs spanning up to one megabase. The vast majority of activated glucocorticoid receptor and nuclear factor kappa-b appeared to join pre-existing P300 enhancer hubs without affecting the chromatin conformation. In contrast, binding of the activated transcription factors to loci with their consensus response elements led to the increased formation of an active epigenetic state of enhancers and a significant increase in long-range interactions within pre-existing enhancer networks. De novo enhancers or ligand-responsive enhancer hubs preferentially interacted with ligand-induced genes. We demonstrate that, at a subset of genomic loci, ligand-mediated induction leads to active enhancer formation and an increase in long-range interactions, facilitating efficient regulation of target genes. Therefore, our data suggest an active role of signal-dependent transcription factors in chromatin and long-range interaction remodeling.

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X Demographics

The data shown below were collected from the profiles of 14 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Germany 1 1%
Netherlands 1 1%
Canada 1 1%
Greece 1 1%
United States 1 1%
Unknown 87 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 27%
Student > Ph. D. Student 25 27%
Student > Master 14 15%
Student > Doctoral Student 5 5%
Student > Bachelor 4 4%
Other 13 14%
Unknown 8 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 39 41%
Agricultural and Biological Sciences 26 28%
Engineering 3 3%
Neuroscience 3 3%
Computer Science 3 3%
Other 9 10%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 2017.
All research outputs
#4,300,739
of 25,371,288 outputs
Outputs from Genome Biology
#2,671
of 4,467 outputs
Outputs of similar age
#66,058
of 395,397 outputs
Outputs of similar age from Genome Biology
#60
of 75 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 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 395,397 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 83% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.