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Identification of potential HIV restriction factors by combining evolutionary genomic signatures with functional analyses

Overview of attention for article published in Retrovirology, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
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6 X users

Citations

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78 Dimensions

Readers on

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114 Mendeley
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Title
Identification of potential HIV restriction factors by combining evolutionary genomic signatures with functional analyses
Published in
Retrovirology, May 2015
DOI 10.1186/s12977-015-0165-5
Pubmed ID
Authors

Paul J McLaren, Ali Gawanbacht, Nitisha Pyndiah, Christian Krapp, Dominik Hotter, Silvia F Kluge, Nicola Götz, Jessica Heilmann, Katharina Mack, Daniel Sauter, Danielle Thompson, Jérémie Perreaud, Antonio Rausell, Miguel Munoz, Angela Ciuffi, Frank Kirchhoff, Amalio Telenti

Abstract

Known antiretroviral restriction factors are encoded by genes that are under positive selection pressure, induced during HIV-1 infection, up-regulated by interferons, and/or interact with viral proteins. To identify potential novel restriction factors, we performed genome-wide scans for human genes sharing molecular and evolutionary signatures of known restriction factors and tested the anti-HIV-1 activity of the most promising candidates. Our analyses identified 30 human genes that share characteristics of known restriction factors. Functional analyses of 27 of these candidates showed that over-expression of a strikingly high proportion of them significantly inhibited HIV-1 without causing cytotoxic effects. Five factors (APOL1, APOL6, CD164, TNFRSF10A, TNFRSF10D) suppressed infectious HIV-1 production in transfected 293T cells by >90% and six additional candidates (FCGR3A, CD3E, OAS1, GBP5, SPN, IFI16) achieved this when the virus was lacking intact accessory vpr, vpu and nef genes. Unexpectedly, over-expression of two factors (IL1A, SP110) significantly increased infectious HIV-1 production. Mechanistic studies suggest that the newly identified potential restriction factors act at different steps of the viral replication cycle, including proviral transcription and production of viral proteins. Finally, we confirmed that mRNA expression of most of these candidate restriction factors in primary CD4+ T cells is significantly increased by type I interferons. A limited number of human genes share multiple characteristics of genes encoding for known restriction factors. Most of them display anti-retroviral activity in transient transfection assays and are expressed in primary CD4+ T cells.

X Demographics

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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 113 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 24%
Researcher 23 20%
Student > Master 14 12%
Student > Bachelor 9 8%
Professor > Associate Professor 6 5%
Other 13 11%
Unknown 22 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 23%
Agricultural and Biological Sciences 24 21%
Immunology and Microbiology 21 18%
Medicine and Dentistry 13 11%
Computer Science 4 4%
Other 2 2%
Unknown 24 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 April 2018.
All research outputs
#3,549,803
of 25,373,627 outputs
Outputs from Retrovirology
#154
of 1,273 outputs
Outputs of similar age
#44,055
of 279,890 outputs
Outputs of similar age from Retrovirology
#8
of 25 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 87% 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 279,890 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 84% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.