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Identification of “safe harbor” loci in indica rice genome by harnessing the property of zinc-finger nucleases to induce DNA damage and repair

Overview of attention for article published in Frontiers in Plant Science, June 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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Title
Identification of “safe harbor” loci in indica rice genome by harnessing the property of zinc-finger nucleases to induce DNA damage and repair
Published in
Frontiers in Plant Science, June 2014
DOI 10.3389/fpls.2014.00302
Pubmed ID
Authors

Christian Cantos, Perigio Francisco, Kurniawan R. Trijatmiko, Inez Slamet-Loedin, Prabhjit K. Chadha-Mohanty

Abstract

Zinc-finger nucleases (ZFNs) have proved to be successful tools for targeted genome manipulation in several organisms. Their main property is the induction of double-strand breaks (DSBs) at specific sites, which are further repaired through homologous recombination (HR) or non-homologous end joining (NHEJ). However, for the appropriate integration of genes at specific chromosomal locations, proper sites for gene integration need to be identified. These regions, hereby named safe harbor loci, must be localized in non-coding regions and possess high gene expression. In the present study, three different ZFN constructs (pZFN1, pZFN2, pZFN3), harboring β-glucuronidase (GUS) as a reporter gene, were used to identify safe harbor loci on rice chromosomes. The constructs were delivered into IR64 rice by using an improved Agrobacterium-mediated transformation protocol, based on the use of immature embryos. Gene expression was measured by histochemical GUS activity and the flanking regions were determined through thermal-asymmetric interlaced polymerase chain reaction (TAIL PCR). Following sequencing, 28 regions were identified as putative sites for safe integration, but only one was localized in a non-coding region and also possessed high GUS expression. These findings have significant applicability to create crops with new and valuable traits, since the site can be subsequently used to stably introduce one or more genes in a targeted manner.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Italy 1 1%
Unknown 88 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 19%
Researcher 17 19%
Student > Bachelor 11 12%
Student > Master 10 11%
Student > Postgraduate 5 6%
Other 8 9%
Unknown 22 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 46%
Biochemistry, Genetics and Molecular Biology 16 18%
Unspecified 1 1%
Immunology and Microbiology 1 1%
Economics, Econometrics and Finance 1 1%
Other 3 3%
Unknown 27 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 March 2024.
All research outputs
#5,442,776
of 25,738,558 outputs
Outputs from Frontiers in Plant Science
#2,922
of 24,922 outputs
Outputs of similar age
#49,573
of 243,455 outputs
Outputs of similar age from Frontiers in Plant Science
#10
of 164 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,922 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 88% 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 243,455 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 79% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.