↓ Skip to main content

DNA epigenome editing using CRISPR-Cas SunTag-directed DNMT3A

Overview of attention for article published in Genome Biology, September 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog
twitter
55 X users
patent
2 patents

Citations

dimensions_citation
155 Dimensions

Readers on

mendeley
290 Mendeley
citeulike
1 CiteULike
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
DNA epigenome editing using CRISPR-Cas SunTag-directed DNMT3A
Published in
Genome Biology, September 2017
DOI 10.1186/s13059-017-1306-z
Pubmed ID
Authors

Yung-Hsin Huang, Jianzhong Su, Yong Lei, Lorenzo Brunetti, Michael C. Gundry, Xiaotian Zhang, Mira Jeong, Wei Li, Margaret A. Goodell

Abstract

DNA methylation has widespread effects on gene expression during development. However, our ability to assign specific function to regions of DNA methylation is limited by the poor correlation between global patterns of DNA methylation and gene expression. Here, we utilize nuclease-deactivated Cas9 protein fused to repetitive peptide epitopes (SunTag) recruiting multiple copies of antibody-fused de novo DNA methyltransferase 3A (DNMT3A) (dCas9-SunTag-DNMT3A) to amplify the local DNMT3A concentration to methylate genomic sites of interest. We demonstrate that dCas9-SunTag-DNMT3A dramatically increases CpG methylation at the HOXA5 locus in human embryonic kidney (HEK293T) cells. Furthermore, using a single guide RNA, dCas9-SunTag-DNMT3A is able to methylate a 4.5-kb genomic region and repress HOXA5 gene expression. Reduced representation bisulfite sequencing and RNA-seq show that dCas9-SunTag-DNMT3A methylates regions of interest with minimal impact on the global DNA methylome and transcriptome. This effective and precise tool enables site-specific manipulation of DNA methylation and may be used to address the relationship between DNA methylation and gene expression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 55 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 290 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 290 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 20%
Researcher 45 16%
Student > Master 37 13%
Student > Bachelor 32 11%
Student > Doctoral Student 16 6%
Other 30 10%
Unknown 73 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 118 41%
Agricultural and Biological Sciences 45 16%
Medicine and Dentistry 12 4%
Neuroscience 9 3%
Immunology and Microbiology 7 2%
Other 18 6%
Unknown 81 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 28 December 2023.
All research outputs
#1,058,866
of 25,661,882 outputs
Outputs from Genome Biology
#755
of 4,498 outputs
Outputs of similar age
#21,212
of 326,294 outputs
Outputs of similar age from Genome Biology
#18
of 62 outputs
Altmetric has tracked 25,661,882 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,498 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 83% 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 326,294 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 93% of its contemporaries.
We're also able to compare this research output to 62 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 70% of its contemporaries.