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Interferon-α (IFN-α) suppresses HTLV-1 gene expression and cell cycling, while IFN-α combined with zidovudin induces p53 signaling and apoptosis in HTLV-1-infected cells

Overview of attention for article published in Retrovirology, May 2013
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Title
Interferon-α (IFN-α) suppresses HTLV-1 gene expression and cell cycling, while IFN-α combined with zidovudin induces p53 signaling and apoptosis in HTLV-1-infected cells
Published in
Retrovirology, May 2013
DOI 10.1186/1742-4690-10-52
Pubmed ID
Authors

Shuichi Kinpara, Mami Kijiyama, Ayako Takamori, Atsuhiko Hasegawa, Amane Sasada, Takao Masuda, Yuetsu Tanaka, Atae Utsunomiya, Mari Kannagi

Abstract

Human T-cell leukemia virus type-1 (HTLV-1) is the causative retrovirus of adult T-cell leukemia/lymphoma (ATL) and HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP). HTLV-1 gene expression is maintained at low levels in vivo by unknown mechanisms. A combination therapy of interferon-α (IFN-α) and zidovudin (AZT) shows therapeutic effects in ATL patients, although its mechanism is also obscure. We previously found that viral gene expression in IL-2-dependent HTLV-1-infected T-cells (ILTs) derived from ATL patients was markedly suppressed by stromal cells through a type I IFN response. Here, we investigated the effects of IFN-α with or without AZT on viral gene expression and cell growth in ILTs.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Brazil 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 17%
Student > Master 11 17%
Student > Bachelor 9 14%
Student > Postgraduate 6 10%
Student > Ph. D. Student 5 8%
Other 9 14%
Unknown 12 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 29%
Medicine and Dentistry 15 24%
Immunology and Microbiology 9 14%
Biochemistry, Genetics and Molecular Biology 4 6%
Nursing and Health Professions 3 5%
Other 1 2%
Unknown 13 21%
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 May 2013.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Retrovirology
#1,213
of 1,273 outputs
Outputs of similar age
#183,373
of 208,747 outputs
Outputs of similar age from Retrovirology
#29
of 29 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% 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 208,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 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.