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Stable Gene Targeting in Human Cells Using Single-Strand Oligonucleotides with Modified Bases

Overview of attention for article published in PLOS ONE, May 2012
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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3 X users
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3 patents
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1 Facebook page
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1 Google+ user

Citations

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28 Dimensions

Readers on

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104 Mendeley
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Title
Stable Gene Targeting in Human Cells Using Single-Strand Oligonucleotides with Modified Bases
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036697
Pubmed ID
Authors

Xavier Rios, Adrian W. Briggs, Danos Christodoulou, Josh M. Gorham, Jonathan G. Seidman, George M. Church

Abstract

Recent advances allow multiplexed genome engineering in E. coli, employing easily designed oligonucleotides to edit multiple loci simultaneously. A similar technology in human cells would greatly expedite functional genomics, both by enhancing our ability to test how individual variants such as single nucleotide polymorphisms (SNPs) are related to specific phenotypes, and potentially allowing simultaneous mutation of multiple loci. However, oligo-mediated targeting of human cells is currently limited by low targeting efficiencies and low survival of modified cells. Using a HeLa-based EGFP-rescue reporter system we show that use of modified base analogs can increase targeting efficiency, in part by avoiding the mismatch repair machinery. We investigate the effects of oligonucleotide toxicity and find a strong correlation between the number of phosphorothioate bonds and toxicity. Stably EGFP-corrected cells were generated at a frequency of ~0.05% with an optimized oligonucleotide design combining modified bases and reduced number of phosphorothioate bonds. We provide evidence from comparative RNA-seq analysis suggesting cellular immunity induced by the oligonucleotides might contribute to the low viability of oligo-corrected cells. Further optimization of this method should allow rapid and scalable genome engineering in human cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
South Africa 1 <1%
France 1 <1%
Canada 1 <1%
Finland 1 <1%
Unknown 97 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 26%
Student > Ph. D. Student 24 23%
Student > Doctoral Student 8 8%
Student > Bachelor 8 8%
Other 7 7%
Other 16 15%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 50%
Biochemistry, Genetics and Molecular Biology 26 25%
Medicine and Dentistry 7 7%
Philosophy 1 <1%
Immunology and Microbiology 1 <1%
Other 1 <1%
Unknown 16 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 19 September 2023.
All research outputs
#3,598,793
of 24,535,155 outputs
Outputs from PLOS ONE
#47,250
of 211,934 outputs
Outputs of similar age
#23,017
of 167,622 outputs
Outputs of similar age from PLOS ONE
#733
of 3,804 outputs
Altmetric has tracked 24,535,155 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 211,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 77% 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 167,622 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 86% of its contemporaries.
We're also able to compare this research output to 3,804 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.