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Eukaryotic elongation factor 1 complex subunits are critical HIV-1 reverse transcription cofactors

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, May 2012
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Title
Eukaryotic elongation factor 1 complex subunits are critical HIV-1 reverse transcription cofactors
Published in
Proceedings of the National Academy of Sciences of the United States of America, May 2012
DOI 10.1073/pnas.1204673109
Pubmed ID
Authors

Kylie Warren, Ting Wei, Dongsheng Li, Fangyun Qin, David Warrilow, Min-Hsuan Lin, Haran Sivakumaran, Ann Apolloni, Catherine M. Abbott, Alun Jones, Jenny L. Anderson, David Harrich

Abstract

Cellular proteins have been implicated as important for HIV-1 reverse transcription, but whether any are reverse transcription complex (RTC) cofactors or affect reverse transcription indirectly is unclear. Here we used protein fractionation combined with an endogenous reverse transcription assay to identify cellular proteins that stimulated late steps of reverse transcription in vitro. We identified 25 cellular proteins in an active protein fraction, and here we show that the eEF1A and eEF1G subunits of eukaryotic elongation factor 1 (eEF1) are important components of the HIV-1 RTC. eEF1A and eEF1G were identified in fractionated human T-cell lysates as reverse transcription cofactors, as their removal ablated the ability of active protein fractions to stimulate late reverse transcription in vitro. We observed that the p51 subunit of reverse transcriptase and integrase, two subunits of the RTC, coimmunoprecipitated with eEF1A and eEF1G. Moreover eEF1A and eEF1G associated with purified RTCs and colocalized with reverse transcriptase following infection of cells. Reverse transcription in cells was sharply down-regulated when eEF1A or eEF1G levels were reduced by siRNA treatment as a result of reduced levels of RTCs in treated cells. The combined evidence indicates that these eEF1 subunits are critical RTC stability cofactors required for efficient completion of reverse transcription. The identification of eEF1 subunits as unique RTC components provides a basis for further investigations of reverse transcription and trafficking of the RTC to the nucleus.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 27%
Researcher 12 21%
Student > Master 6 11%
Professor > Associate Professor 4 7%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 34%
Biochemistry, Genetics and Molecular Biology 16 29%
Chemistry 3 5%
Immunology and Microbiology 2 4%
Business, Management and Accounting 1 2%
Other 5 9%
Unknown 10 18%
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 14 June 2012.
All research outputs
#16,189,110
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#90,751
of 101,438 outputs
Outputs of similar age
#105,863
of 168,098 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#771
of 957 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 9th percentile – i.e., 9% 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 168,098 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 957 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.