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A biophysical model for transcription factories

Overview of attention for article published in BMC Biophysics, February 2013
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Title
A biophysical model for transcription factories
Published in
BMC Biophysics, February 2013
DOI 10.1186/2046-1682-6-2
Pubmed ID
Authors

Ana Z Canals-Hamann, Ricardo Pires das Neves, Joyce E Reittie, Carlos Iñiguez, Shamit Soneji, Tariq Enver, Veronica J Buckle, Francisco J Iborra

Abstract

Transcription factories are nuclear domains where gene transcription takes place although the molecular basis for their formation and maintenance are unknown. In this study, we explored how the properties of chromatin as a polymer may contribute to the structure of transcription factories. We found that transcriptional active chromatin contains modifications like histone H4 acetylated at Lysine 16 (H4K16ac). Single fibre analysis showed that this modification spans the entire body of the gene. Furthermore, H4K16ac genes cluster in regions up to 500 Kb alternating active and inactive chromatin. The introduction of H4K16ac in chromatin induces stiffness in the chromatin fibre. The result of this change in flexibility is that chromatin could behave like a multi-block copolymer with repetitions of stiff-flexible (active-inactive chromatin) components. Copolymers with such structure self-organize through spontaneous phase separation into microdomains. Consistent with such model H4K16ac chromatin form foci that associates with nascent transcripts. We propose that transcription factories are the result of the spontaneous concentration of H4K16ac chromatin that are in proximity, mainly in cis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 3%
Germany 1 3%
Netherlands 1 3%
United Kingdom 1 3%
Canada 1 3%
Spain 1 3%
United States 1 3%
Unknown 33 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 25%
Researcher 8 20%
Professor > Associate Professor 5 13%
Student > Bachelor 4 10%
Student > Master 2 5%
Other 3 8%
Unknown 8 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 40%
Biochemistry, Genetics and Molecular Biology 7 18%
Physics and Astronomy 3 8%
Computer Science 2 5%
Environmental Science 1 3%
Other 2 5%
Unknown 9 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 June 2013.
All research outputs
#14,638,545
of 23,881,329 outputs
Outputs from BMC Biophysics
#31
of 57 outputs
Outputs of similar age
#172,358
of 291,046 outputs
Outputs of similar age from BMC Biophysics
#1
of 2 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 57 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 52% 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 291,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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