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.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Amino Acid Sequence
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Antibody Affinity / immunology
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Cell Membrane / metabolism
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HIV Core Protein p24 / chemistry
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HIV Core Protein p24 / immunology
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HIV Core Protein p24 / metabolism
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HIV-1 / immunology
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HIV-1 / isolation & purification*
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HIV-1 / metabolism
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HeLa Cells
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Humans
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Microscopy, Confocal*
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Molecular Imaging*
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Molecular Sequence Data
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Protein Binding / immunology
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Protein Transport
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Single-Domain Antibodies / immunology
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Single-Domain Antibodies / metabolism
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Time-Lapse Imaging
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Virus Assembly
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gag Gene Products, Human Immunodeficiency Virus / immunology
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gag Gene Products, Human Immunodeficiency Virus / metabolism
Substances
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HIV Core Protein p24
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Single-Domain Antibodies
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gag Gene Products, Human Immunodeficiency Virus
Grants and funding
This work was supported by grants from the EpiSys program of the Bundesministerium für Bildung und Forschung (BMBF), the Nanosystems Initiative Munich, the BioImaging Network and the Deutsche Forschungsgemeinschaft (DFG, SPP 1230) to HL; (DFG, SFB638) to HGK and grants within the EU FP7 program to HGK (HIV-ACE). HGK is an investigator of the CellNetworks excellence cluster. JH, KS and UR acknowledge support by the GO-Bio program (BMBF). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.