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High-density P300 enhancers control cell state transitions

Overview of attention for article published in BMC Genomics, November 2015
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
High-density P300 enhancers control cell state transitions
Published in
BMC Genomics, November 2015
DOI 10.1186/s12864-015-1905-6
Pubmed ID
Authors

Steven Witte, Allan Bradley, Anton J. Enright, Stefan A. Muljo

Abstract

Transcriptional enhancers are frequently bound by a set of transcription factors that collaborate to activate lineage-specific gene expression. Recently, it was appreciated that a subset of enhancers comprise extended clusters dubbed stretch- or super-enhancers (SEs). These SEs are located near key cell identity genes, and enriched for non-coding genetic variations associated with disease. Previously, SEs have been defined as having the highest density of Med1, Brd4 or H3K27ac by ChIP-seq. The histone acetyltransferase P300 has been used as a marker of enhancers, but little is known about its binding to SEs. We establish that P300 marks a similar SE repertoire in embryonic stem cells as previously reported using Med1 and H3K27ac. We also exemplify a role for SEs in mouse T helper cell fate decision. Similarly, upon activation of macrophages by bacterial endotoxin, we found that many SE-associated genes encode inflammatory proteins that are strongly up-regulated. These SEs arise from small, low-density enhancers in unstimulated macrophages. We also identified expression quantitative trait loci (eQTL) in human monocytes that lie within such SEs. In macrophages and Th17 cells, inflammatory SEs can be perturbed either genetically or pharmacologically thus revealing new avenues to target inflammation. Our findings support the notion that P300-marked SEs can help identify key nodes of transcriptional control during cell fate decisions. The SE landscape changes drastically during cell differentiation and cell activation. As these processes are crucial in immune responses, SEs may be useful in revealing novel targets for treating inflammatory diseases.

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X Demographics

The data shown below were collected from the profiles of 6 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
China 1 1%
Unknown 71 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 34%
Researcher 11 15%
Student > Bachelor 8 11%
Student > Master 8 11%
Student > Doctoral Student 3 4%
Other 10 14%
Unknown 8 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 36%
Agricultural and Biological Sciences 25 34%
Immunology and Microbiology 4 5%
Medicine and Dentistry 3 4%
Computer Science 2 3%
Other 3 4%
Unknown 10 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 July 2016.
All research outputs
#8,150,260
of 24,598,501 outputs
Outputs from BMC Genomics
#3,782
of 11,013 outputs
Outputs of similar age
#99,299
of 291,417 outputs
Outputs of similar age from BMC Genomics
#145
of 392 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 11,013 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 65% 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 291,417 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 65% of its contemporaries.
We're also able to compare this research output to 392 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 62% of its contemporaries.