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Direct and Dynamic Detection of HIV-1 in Living Cells

Overview of attention for article published in PLOS ONE, November 2012
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Title
Direct and Dynamic Detection of HIV-1 in Living Cells
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050026
Pubmed ID
Authors

Jonas Helma, Katrin Schmidthals, Vanda Lux, Stefan Nüske, Armin M. Scholz, Hans-Georg Kräusslich, Ulrich Rothbauer, Heinrich Leonhardt

Abstract

In basic and applied HIV research, reliable detection of viral components is crucial to monitor progression of infection. While it is routine to detect structural viral proteins in vitro for diagnostic purposes, it previously remained impossible to directly and dynamically visualize HIV in living cells without genetic modification of the virus. Here, we describe a novel fluorescent biosensor to dynamically trace HIV-1 morphogenesis in living cells. We generated a camelid single domain antibody that specifically binds the HIV-1 capsid protein (CA) at subnanomolar affinity and fused it to fluorescent proteins. The resulting fluorescent chromobody specifically recognizes the CA-harbouring HIV-1 Gag precursor protein in living cells and is applicable in various advanced light microscopy systems. Confocal live cell microscopy and super-resolution microscopy allowed detection and dynamic tracing of individual virion assemblies at the plasma membrane. The analysis of subcellular binding kinetics showed cytoplasmic antigen recognition and incorporation into virion assembly sites. Finally, we demonstrate the use of this new reporter in automated image analysis, providing a robust tool for cell-based HIV research.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Denmark 1 1%
Italy 1 1%
Unknown 84 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 27%
Student > Ph. D. Student 19 22%
Student > Master 13 15%
Student > Bachelor 4 5%
Other 4 5%
Other 10 11%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 34%
Biochemistry, Genetics and Molecular Biology 14 16%
Medicine and Dentistry 8 9%
Immunology and Microbiology 7 8%
Physics and Astronomy 5 6%
Other 9 10%
Unknown 15 17%