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NF45 and NF90 Bind HIV-1 RNA and Modulate HIV Gene Expression

Overview of attention for article published in Viruses, February 2016
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23 Mendeley
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Article details
Title
NF45 and NF90 Bind HIV-1 RNA and Modulate HIV Gene Expression
Published in
Viruses, February 2016
DOI 10.3390/v8020047
Pubmed ID
Authors
Abstract

A previous proteomic screen in our laboratory identified nuclear factor 45 (NF45) and nuclear factor 90 (NF90) as potential cellular factors involved in human immunodeficiency virus type 1 (HIV-1) replication. Both are RNA binding proteins that regulate gene expression; and NF90 has been shown to regulate the expression of cyclin T1 which is required for Tat-dependent trans-activation of viral gene expression. In this study the roles of NF45 and NF90 in HIV replication were investigated through overexpression studies. Ectopic expression of either factor potentiated HIV infection, gene expression, and virus production. Deletion of the RNA binding domains of NF45 and NF90 diminished the enhancement of HIV infection and gene expression. Both proteins were found to interact with the HIV RNA. RNA decay assays demonstrated that NF90, but not NF45, increased the half-life of the HIV RNA. Overall, these studies indicate that both NF45 and NF90 potentiate HIV infection through their RNA binding domains.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 4 17%
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Researcher 3 13%
Student > Bachelor 2 9%
Other 3 13%
Unknown 4 17%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 30%
Agricultural and Biological Sciences 4 17%
Immunology and Microbiology 2 9%
Veterinary Science and Veterinary Medicine 1 4%
Computer Science 1 4%
Other 2 9%
Unknown 6 26%
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 20 February 2016.
All research outputs
#14,249,851
of 22,849,304 outputs
Outputs from Viruses
#4,540
of 8,370 outputs
Outputs of similar age
#156,272
of 297,534 outputs
Outputs of similar age from Viruses
#41
of 65 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,370 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one is in the 41st percentile – i.e., 41% 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 297,534 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.