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Proviral HIV-genome-wide and pol-gene specific Zinc Finger Nucleases: Usability for targeted HIV gene therapy

Overview of attention for article published in Theoretical Biology and Medical Modelling, July 2011
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Title
Proviral HIV-genome-wide and pol-gene specific Zinc Finger Nucleases: Usability for targeted HIV gene therapy
Published in
Theoretical Biology and Medical Modelling, July 2011
DOI 10.1186/1742-4682-8-26
Pubmed ID
Authors

Misaki Wayengera

Abstract

Infection with HIV, which culminates in the establishment of a latent proviral reservoir, presents formidable challenges for ultimate cure. Building on the hypothesis that ex-vivo or even in-vivo abolition or disruption of HIV-gene/genome-action by target mutagenesis or excision can irreversibly abrogate HIV's innate fitness to replicate and survive, we previously identified the isoschizomeric bacteria restriction enzymes (REases) AcsI and ApoI as potent cleavers of the HIV-pol gene (11 and 9 times in HIV-1 and 2, respectively). However, both enzymes, along with others found to cleave across the entire HIV-1 genome, slice (SX) at palindromic sequences that are prevalent within the human genome and thereby pose the risk of host genome toxicity. A long-term goal in the field of R-M enzymatic therapeutics has thus been to generate synthetic restriction endonucleases with longer recognition sites limited in specificity to HIV. We aimed (i) to assemble and construct zinc finger arrays and nucleases (ZFN) with either proviral-HIV-pol gene or proviral-HIV-1 whole-genome specificity respectively, and (ii) to advance a model for pre-clinically testing lentiviral vectors (LV) that deliver and transduce either ZFN genotype.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Russia 1 2%
France 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Student > Master 8 19%
Researcher 6 14%
Student > Bachelor 5 12%
Other 3 7%
Other 4 10%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 36%
Biochemistry, Genetics and Molecular Biology 10 24%
Medicine and Dentistry 5 12%
Nursing and Health Professions 1 2%
Chemical Engineering 1 2%
Other 4 10%
Unknown 6 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 January 2014.
All research outputs
#13,401,381
of 22,741,406 outputs
Outputs from Theoretical Biology and Medical Modelling
#138
of 287 outputs
Outputs of similar age
#77,498
of 119,035 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#7
of 7 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 49th percentile – i.e., 49% 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 119,035 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.