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Demystifying the secret mission of enhancers: linking distal regulatory elements to target genes

Overview of attention for article published in Critical Reviews in Biochemistry & Molecular Biology, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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7 X users
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1 Wikipedia page

Citations

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81 Dimensions

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240 Mendeley
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4 CiteULike
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Title
Demystifying the secret mission of enhancers: linking distal regulatory elements to target genes
Published in
Critical Reviews in Biochemistry & Molecular Biology, October 2015
DOI 10.3109/10409238.2015.1087961
Pubmed ID
Authors

Lijing Yao, Benjamin P. Berman, Peggy J. Farnham

Abstract

Enhancers are short regulatory sequences bound by sequence-specific transcription factors and play a major role in the spatiotemporal specificity of gene expression patterns in development and disease. While it is now possible to identify enhancer regions genomewide in both cultured cells and primary tissues using epigenomic approaches, it has been more challenging to develop methods to understand the function of individual enhancers because enhancers are located far from the gene(s) that they regulate. However, it is essential to identify target genes of enhancers not only so that we can understand the role of enhancers in disease but also because this information will assist in the development of future therapeutic options. After reviewing models of enhancer function, we discuss recent methods for identifying target genes of enhancers. First, we describe chromatin structure-based approaches for directly mapping interactions between enhancers and promoters. Second, we describe the use of correlation-based approaches to link enhancer state with the activity of nearby promoters and/or gene expression. Third, we describe how to test the function of specific enhancers experimentally by perturbing enhancer-target relationships using high-throughput reporter assays and genome editing. Finally, we conclude by discussing as yet unanswered questions concerning how enhancers function, how target genes can be identified, and how to distinguish direct from indirect changes in gene expression mediated by individual enhancers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 3 1%
Luxembourg 2 <1%
Germany 1 <1%
Spain 1 <1%
Ireland 1 <1%
Unknown 229 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 30%
Researcher 45 19%
Student > Bachelor 29 12%
Student > Master 23 10%
Student > Doctoral Student 12 5%
Other 31 13%
Unknown 27 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 37%
Biochemistry, Genetics and Molecular Biology 75 31%
Medicine and Dentistry 11 5%
Computer Science 8 3%
Neuroscience 6 3%
Other 19 8%
Unknown 33 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 17 March 2021.
All research outputs
#5,446,629
of 25,373,627 outputs
Outputs from Critical Reviews in Biochemistry & Molecular Biology
#112
of 487 outputs
Outputs of similar age
#66,772
of 290,035 outputs
Outputs of similar age from Critical Reviews in Biochemistry & Molecular Biology
#1
of 10 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 67% 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 290,035 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 75% 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