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ssDNA and the Argonautes: The Quest for the Next Golden Editor

Overview of attention for article published in Human Gene Therapy, May 2016
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Title
ssDNA and the Argonautes: The Quest for the Next Golden Editor
Published in
Human Gene Therapy, May 2016
DOI 10.1089/hum.2016.071
Pubmed ID
Authors

Gabriel Martínez-Gálvez, Hirotaka Ata, Jarryd M. Campbell, Stephen C. Ekker

Abstract

Genome engineering has gone mainstream because of breakthroughs in defining and harnessing naturally occurring, customizable DNA recognition cursors (protein or RNA-guided). At present, most gene editing relies on these cursors to direct custom DNA endonucleases to a specific genomic sequence to induce a double-strand break. New tools for genome engineering are continuously being explored, and another advance in DNA targeting has recently been described. Argonaute isolated from Natronobacterium gregoryi (NgAgo) is an ssDNA-based cursor that thus far has no known limitations in sequence recognition, shows promise for high specificity, and for many applications may represent a potentially more accessible genome-editing system over prior tools as it requires only a single, 24-base, 5' phosphorylated ssDNA for DNA targeting. Genome engineering is in a remarkable moment of unprecedented growth with exponential reduction in costs reminiscent of Moore's law in electronics. Many questions remain with regard to Argonaute utility in specific systems, but there is no doubt that genome engineering is expanding into new and exciting areas from synthetic biology to gene therapy.

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Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Denmark 1 2%
Germany 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 29%
Student > Ph. D. Student 10 18%
Student > Doctoral Student 3 5%
Other 3 5%
Professor 3 5%
Other 7 13%
Unknown 14 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 34%
Agricultural and Biological Sciences 16 29%
Immunology and Microbiology 2 4%
Mathematics 1 2%
Linguistics 1 2%
Other 6 11%
Unknown 11 20%