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Does antiretroviral treatment change HIV-1 codon usage patterns in its genes: a preliminary bioinformatics study

Overview of attention for article published in AIDS Research and Therapy, January 2017
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6 X users

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Title
Does antiretroviral treatment change HIV-1 codon usage patterns in its genes: a preliminary bioinformatics study
Published in
AIDS Research and Therapy, January 2017
DOI 10.1186/s12981-016-0130-y
Pubmed ID
Authors

Navaneethan Palanisamy, Nathan Osman, Frédéric Ohnona, Hong-Tao Xu, Bluma Brenner, Thibault Mesplède, Mark A. Wainberg

Abstract

Codon usage bias has been described for various organisms and is thought to contribute to the regulation of numerous biological processes including viral infections. HIV-1 codon usage has been previously shown to be different from that of other viruses and man. It is evident that the antiretroviral drugs used to restrict HIV-1 replication also select for resistance variants. We wanted to test whether codon frequencies in HIV-1 sequences from treatment-experienced patients differ from those of treatment-naive individuals due to drug pressure affecting codon usage bias. We developed a JavaScript to determine the codon frequencies of aligned nucleotide sequences. Irrespective of subtypes, using HIV-1 pol sequences from 532 treatment-naive and 52 treatment-experienced individuals, we found that pol sequences from treatment-experienced patients had significantly increased AGA (arginine; p = 0.0002***) and GGU (glycine; p = 0.0001***), and decreased AGG (arginine; p = 0.0001***) codon frequencies. The same pattern was not observed when subtypes B and C sequences were analyzed separately. Additionally, irrespective of subtypes, using HIV-1 gag sequences from 524 treatment-naive and 54 treatment-experienced individuals, gag sequences from treatment-experienced patients had significantly increased CUA (leucine; p < 0.0001***), CAG (glutamine; p = 0.0006***), AUC (isoleucine; p < 0.0001***) and UCU (serine; p = 0.0005***), and decreased AUA (isoleucine; p = 0.0003***) and CAA (glutamine; p = 0.0006***) codon frequencies. Using pol and gag genes derived from the same HIV-1 genome, we show that antiretroviral therapy changed certain HIV-1 codon frequencies in a subtype specific way.

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X Demographics

The data shown below were collected from the profiles of 6 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 28%
Researcher 8 25%
Student > Ph. D. Student 3 9%
Other 2 6%
Student > Doctoral Student 1 3%
Other 2 6%
Unknown 7 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 25%
Immunology and Microbiology 4 13%
Biochemistry, Genetics and Molecular Biology 4 13%
Medicine and Dentistry 2 6%
Mathematics 1 3%
Other 5 16%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 September 2017.
All research outputs
#13,005,966
of 22,940,083 outputs
Outputs from AIDS Research and Therapy
#241
of 554 outputs
Outputs of similar age
#200,793
of 420,905 outputs
Outputs of similar age from AIDS Research and Therapy
#5
of 10 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 554 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 55% 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 420,905 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.