↓ Skip to main content

Dynamic properties of independent chromatin domains measured by correlation spectroscopy in living cells

Overview of attention for article published in Epigenetics & Chromatin, December 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 256)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
36 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
18 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Dynamic properties of independent chromatin domains measured by correlation spectroscopy in living cells
Published in
Epigenetics & Chromatin, December 2016
DOI 10.1186/s13072-016-0093-1
Pubmed ID
Authors

Malte Wachsmuth, Tobias A. Knoch, Karsten Rippe

Abstract

Genome organization into subchromosomal topologically associating domains (TADs) is linked to cell-type-specific gene expression programs. However, dynamic properties of such domains remain elusive, and it is unclear how domain plasticity modulates genomic accessibility for soluble factors. Here, we combine and compare a high-resolution topology analysis of interacting chromatin loci with fluorescence correlation spectroscopy measurements of domain dynamics in single living cells. We identify topologically and dynamically independent chromatin domains of ~1 Mb in size that are best described by a loop-cluster polymer model. Hydrodynamic relaxation times and gyration radii of domains are larger for open (161 ± 15 ms, 297 ± 9 nm) than for dense chromatin (88 ± 7 ms, 243 ± 6 nm) and increase globally upon chromatin hyperacetylation or ATP depletion. Based on the domain structure and dynamics measurements, we propose a loop-cluster model for chromatin domains. It suggests that the regulation of chromatin accessibility for soluble factors displays a significantly stronger dependence on factor concentration than search processes within a static network.

Twitter Demographics

The data shown below were collected from the profiles of 36 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 11%
Lithuania 1 6%
France 1 6%
Unknown 14 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Researcher 6 33%
Student > Bachelor 2 11%
Student > Master 2 11%
Student > Postgraduate 2 11%
Other 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 67%
Biochemistry, Genetics and Molecular Biology 4 22%
Physics and Astronomy 2 11%
Medicine and Dentistry 1 6%
Engineering 1 6%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 15 February 2017.
All research outputs
#307,032
of 8,213,437 outputs
Outputs from Epigenetics & Chromatin
#4
of 256 outputs
Outputs of similar age
#18,276
of 266,692 outputs
Outputs of similar age from Epigenetics & Chromatin
#1
of 10 outputs
Altmetric has tracked 8,213,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 98% 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 266,692 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 93% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them