↓ Skip to main content

A Role for Nucleoporin FG Repeat Domains in Export of Human Immunodeficiency Virus Type 1 Rev Protein and RNA from the Nucleus

Overview of attention for article published in Molecular & Cellular Biology, March 2023
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Readers on

mendeley
36 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
A Role for Nucleoporin FG Repeat Domains in Export of Human Immunodeficiency Virus Type 1 Rev Protein and RNA from the Nucleus
Published in
Molecular & Cellular Biology, March 2023
DOI 10.1128/mcb.16.12.7144
Pubmed ID
Authors
Abstract

The human immunodeficiency virus type 1 Rev protein contains a nuclear export signal (NES) that is required for Rev-mediated RNA export in mammals as well as in the yeast Saccharomyces cerevisiae. The Rev NES has been shown to specifically interact with a human (hRIP/RAB1) and a yeast (yRip1p) protein in the two-hybrid assay. Both of these interacting proteins are related to FG nucleoporins on the basis of the presence of typical repeat motifs. This paper shows that Rev is able to interact with multiple FG repeat-containing nucleoporins from both S. cerevisiae and mammals; moreover, the ability of Rev NES mutants to interact with these FG nucleoporins parallels the ability of the mutants to promote RNA export in yeast and mammalian cells. The data also show that, after Xenopus oocyte nuclear injection, several FG nucleoporin repeat domains inhibit the export of both Rev protein and U small nuclear RNAs, suggesting that these nucleoporins participate in Rev-mediated and cellular RNA export. Interestingly, not all FG nucleoporin repeat domains produced the same pattern of RNA export inhibition. The results suggest that Rev and cellular mediators of RNA export can interact with multiple components of the nuclear pore complex during transport, analogous to the proposed mode of action of the nuclear protein import receptor.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 8%
Canada 1 3%
Unknown 32 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 33%
Student > Ph. D. Student 7 19%
Professor > Associate Professor 3 8%
Student > Bachelor 2 6%
Professor 2 6%
Other 3 8%
Unknown 7 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 19 53%
Biochemistry, Genetics and Molecular Biology 4 11%
Computer Science 2 6%
Engineering 2 6%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 8 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 June 2023.
All research outputs
#11,899,466
of 34,357,314 outputs
Outputs from Molecular & Cellular Biology
#6,546
of 14,056 outputs
Outputs of similar age
#158,023
of 449,596 outputs
Outputs of similar age from Molecular & Cellular Biology
#4,824
of 10,454 outputs
Altmetric has tracked 34,357,314 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 14,056 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 52% 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 449,596 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 63% of its contemporaries.
We're also able to compare this research output to 10,454 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 53% of its contemporaries.