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In Vivo and in Vitro Proteome Analysis of Human Immunodeficiency Virus (HIV)-1-infected, Human CD4+ T Cells*

Overview of attention for article published in Molecular and Cellular Proteomics, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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1 news outlet
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54 Mendeley
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Title
In Vivo and in Vitro Proteome Analysis of Human Immunodeficiency Virus (HIV)-1-infected, Human CD4+ T Cells*
Published in
Molecular and Cellular Proteomics, February 2017
DOI 10.1074/mcp.m116.065235
Pubmed ID
Authors

Johannes Nemeth, Valentina Vongrad, Karin J Metzner, Victoria P Strouvelle, Rainer Weber, Patrick Pedrioli, Ruedi Aebersold, Huldrych F Günthard, Ben C Collins

Abstract

Host directed therapies against HIV-1 are thought to be critical for long term containment of the HIV-1 pandemic but remain elusive. Since HIV-1 infects and manipulates important effectors of both the innate and adaptive immune system, identifying modulations of the host cell systems in humans during HIV-1 infection may be crucial for the development of immune based therapies. Here, we quantified the changes of the proteome in human CD4+ T cells upon HIV-1 infection, both in vitro and in vivo. A SWATH-MS approach was used to measure the proteome of human primary CD4+ T cells infected with HIV-1 in vitro as well as CD4+ T cells from HIV-1 infected patients with paired samples on and off antiretroviral treatment. In the in vitro experiment, the proteome of CD4+ T cells was quantified over a time course following HIV-1 infection. 1,725 host cell proteins and 4 HIV-1 proteins were quantified, with 145 proteins changing significantly during the time course. Changes in the proteome peaked 24 hours after infection, concomitantly with significant HIV-1 protein production. In the in vivo branch of the study, CD4+ T cells from viremic patients and those with no detectable viral load after treatment were sorted and the proteomes quantified. We consistently detected 895 proteins, 172 of which were considered to be significantly different between viraemic patients and patients undergoing successful treatment. The proteome of in vitro infected CD4+ T cells was modulated on multiple functional levels, including TLR-4 signalling and the type 1 interferon signalling pathway. Perturbations in the type 1 interferon signalling pathway were recapitulated in CD4+ T cells from patients. The study shows that proteome maps generated by SWATH-MS indicate a range of functionally significant changes in the proteome of HIV infected human CD4+ T cells. Exploring these perturbations in more detail may help identify new targets for immune based interventions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 26%
Student > Ph. D. Student 13 24%
Student > Master 6 11%
Student > Doctoral Student 3 6%
Other 2 4%
Other 8 15%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 33%
Biochemistry, Genetics and Molecular Biology 13 24%
Medicine and Dentistry 4 7%
Immunology and Microbiology 3 6%
Computer Science 2 4%
Other 5 9%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 01 December 2020.
All research outputs
#2,864,876
of 25,382,440 outputs
Outputs from Molecular and Cellular Proteomics
#478
of 3,221 outputs
Outputs of similar age
#52,088
of 323,958 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#8
of 59 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,221 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 84% 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 323,958 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.