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A versatile reporter system for CRISPR-mediated chromosomal rearrangements

Overview of attention for article published in Genome Biology, May 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

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158 Mendeley
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Title
A versatile reporter system for CRISPR-mediated chromosomal rearrangements
Published in
Genome Biology, May 2015
DOI 10.1186/s13059-015-0680-7
Pubmed ID
Authors

Yingxiang Li, Angela I. Park, Haiwei Mou, Cansu Colpan, Aizhan Bizhanova, Elliot Akama-Garren, Nik Joshi, Eric A. Hendrickson, David Feldser, Hao Yin, Daniel G. Anderson, Tyler Jacks, Zhiping Weng, Wen Xue

Abstract

Although chromosomal deletions and inversions are important in cancer, conventional methods for detecting DNA rearrangements require laborious indirect assays. Here we develop fluorescent reporters to rapidly quantify CRISPR/Cas9-mediated deletions and inversions. We find that inversion depends on the non-homologous end-joining enzyme LIG4. We also engineer deletions and inversions for a 50 kb Pten genomic region in mouse liver. We discover diverse yet sequence-specific indels at the rearrangement fusion sites. Moreover, we detect Cas9 cleavage at the fourth nucleotide on the non-complementary strand, leading to staggered instead of blunt DNA breaks. These reporters allow mechanisms of chromosomal rearrangements to be investigated.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 156 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 28%
Student > Ph. D. Student 35 22%
Student > Bachelor 17 11%
Student > Master 15 9%
Professor 8 5%
Other 25 16%
Unknown 14 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 42%
Biochemistry, Genetics and Molecular Biology 46 29%
Medicine and Dentistry 8 5%
Chemistry 6 4%
Immunology and Microbiology 3 2%
Other 10 6%
Unknown 19 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 February 2016.
All research outputs
#6,930,204
of 25,374,917 outputs
Outputs from Genome Biology
#3,196
of 4,467 outputs
Outputs of similar age
#75,428
of 280,046 outputs
Outputs of similar age from Genome Biology
#53
of 64 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 280,046 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 72% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.