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Trends in Microbiology
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://dx.doi.org/10.5167/uzh...
Other literature type . 2017
Data sources: Datacite
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Unravelling HIV-1 Latency, One Cell at a Time

Authors: Kok, Yik Lim; Ciuffi, Angela; Metzner, Karin J;

Unravelling HIV-1 Latency, One Cell at a Time

Abstract

A single virus is capable of infecting and replicating in a single cell. Recent advances across single-cell omics technologies - genomics, epigenomics, transcriptomics, epitranscriptomics, proteomics, and metabolomics - will offer unprecedented opportunities to gain more insights into the various aspects of the life cycle of viruses and their impact on the host cell. Here, using the human immunodeficiency virus type 1 (HIV-1) as an example, we summarize the current knowledge and the future potential of single-cell omics in the investigation of an important aspect of the life cycle of HIV-1 that represents a major hurdle in achieving viral eradication, HIV-1 latency.

Country
Switzerland
Keywords

2404 Microbiology, HIV, 610 Medicine & health, HIV Infections, 2725 Infectious Diseases, cell omics, Genomics, 1 integration sites, 2726 Microbiology (medical), Virus Latency, 10234 Clinic for Infectious Diseases, human immunodeficiency virus type 1, viral latency, Host-Pathogen Interactions, 2406 Virology, HIV-1, Humans, Metabolomics, Single-Cell Analysis, single

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    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
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