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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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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.

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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%