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A biophysical model for transcription factories

Overview of attention for article published in BMC Biophysics, January 2013
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  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

5 tweeters


15 Dimensions

Readers on

37 Mendeley
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A biophysical model for transcription factories
Published in
BMC Biophysics, January 2013
DOI 10.1186/2046-1682-6-2
Pubmed ID

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


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.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 37 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 30 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 27%
Researcher 6 16%
Professor > Associate Professor 5 14%
Student > Bachelor 3 8%
Student > Master 3 8%
Other 3 8%
Unknown 7 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 43%
Biochemistry, Genetics and Molecular Biology 5 14%
Physics and Astronomy 3 8%
Computer Science 2 5%
Unspecified 1 3%
Other 1 3%
Unknown 9 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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
of 4,507,211 outputs
Outputs from BMC Biophysics
of 47 outputs
Outputs of similar age
of 287,294 outputs
Outputs of similar age from BMC Biophysics
of 2 outputs
Altmetric has tracked 4,507,211 research outputs across all sources so far. This one has received more attention than most of these and is in the 61st percentile.
So far Altmetric has tracked 47 research outputs from this source. They receive a mean Attention Score of 3.1. This one scored the same or higher as 33 of them.
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 287,294 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 66% of its contemporaries.
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