↓ Skip to main content

Strategies for precision modulation of gene expression by epigenome editing: an overview

Overview of attention for article published in Epigenetics & Chromatin, September 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
16 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
230 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
Strategies for precision modulation of gene expression by epigenome editing: an overview
Published in
Epigenetics & Chromatin, September 2015
DOI 10.1186/s13072-015-0023-7
Pubmed ID
Authors

Benjamin I. Laufer, Shiva M. Singh

Abstract

Genome editing technology has evolved rather quickly and become accessible to most researchers. It has resulted in far reaching implications and a number of novel designer systems including epigenome editing. Epigenome editing utilizes a combination of nuclease-null genome editing systems and effector domains to modulate gene expression. In particular, Zinc Finger, Transcription-Activator-Like Effector, and CRISPR/Cas9 have emerged as modular systems that can be modified to allow for precision manipulation of epigenetic marks without altering underlying DNA sequence. This review contains a comprehensive catalog of effector domains that can be used with components of genome editing systems to achieve epigenome editing. Ultimately, the evidence-based design of epigenome editing offers a novel improvement to the limited attenuation strategies. There is much potential for editing and/or correcting gene expression in somatic cells toward a new era of functional genomics and personalized medicine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United Kingdom 2 <1%
Indonesia 1 <1%
Korea, Republic of 1 <1%
Brazil 1 <1%
Italy 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 220 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 21%
Researcher 41 18%
Student > Master 35 15%
Student > Bachelor 19 8%
Student > Doctoral Student 11 5%
Other 44 19%
Unknown 31 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 91 40%
Biochemistry, Genetics and Molecular Biology 66 29%
Medicine and Dentistry 9 4%
Neuroscience 7 3%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 19 8%
Unknown 33 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 24 January 2024.
All research outputs
#1,981,279
of 25,464,544 outputs
Outputs from Epigenetics & Chromatin
#53
of 615 outputs
Outputs of similar age
#26,535
of 284,011 outputs
Outputs of similar age from Epigenetics & Chromatin
#4
of 17 outputs
Altmetric has tracked 25,464,544 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 615 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 91% 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 284,011 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 90% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.