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Cellular RelB interacts with the transactivator Tat and enhance HIV-1 expression

Overview of attention for article published in Retrovirology, September 2018
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Title
Cellular RelB interacts with the transactivator Tat and enhance HIV-1 expression
Published in
Retrovirology, September 2018
DOI 10.1186/s12977-018-0447-9
Pubmed ID
Authors

Meng Wang, Wei Yang, Yu Chen, Jian Wang, Juan Tan, Wentao Qiao

Abstract

Human immunodeficiency virus type 1 (HIV-1) Tat protein plays an essential role in HIV-1 gene transcription. Tat transactivates HIV-1 long terminal repeat (LTR)-directed gene expression through direct interactions with the transactivation-responsive region (TAR) element and other cis elements in the LTR. The TAR-independent Tat-mediated LTR transactivation is modulated by several host factors, but the mechanism is not fully understood. Here, we report that Tat interacts with the Rel homology domain of RelB through its core region. Furthermore, RelB significantly increases Tat-mediated transcription of the HIV-1 LTR and viral gene expression, which is independent of the TAR. Both Tat and RelB are recruited to the HIV-1 promoter, of which RelB facilitates the recruitment of Tat to the viral LTR. The NF-κB elements are key to the accumulation of Tat and RelB on the LTR. Knockout of RelB reduces the accumulation of RNA polymerase II on the LTR, and decreases HIV-1 gene transcription. Together, our data suggest that RelB contributes to HIV-1 transactivation. Our results demonstrate that RelB interacts with Tat and enhances TAR-independent activation of HIV-1 LTR promoter, which adds new insights into the multi-layered mechanisms of Tat in regulating the gene expression of HIV-1.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Master 4 20%
Student > Postgraduate 2 10%
Researcher 2 10%
Student > Bachelor 1 5%
Other 1 5%
Unknown 5 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 30%
Immunology and Microbiology 6 30%
Agricultural and Biological Sciences 1 5%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 September 2018.
All research outputs
#18,649,666
of 23,103,903 outputs
Outputs from Retrovirology
#961
of 1,110 outputs
Outputs of similar age
#261,911
of 341,592 outputs
Outputs of similar age from Retrovirology
#13
of 17 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 3rd percentile – i.e., 3% 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 341,592 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.