| Literature DB >> 22754649 |
Viola Baumgärtel1, Barbara Müller, Don C Lamb.
Abstract
Advances in fluorescence methodologies make it possible to investigate biological systems in unprecedented detail. Over the last few years, quantitative live-cell imaging has increasingly been used to study the dynamic interactions of viruses with cells and is expected to become even more indispensable in the future. Here, we describe different fluorescence labeling strategies that have been used to label HIV-1 for live cell imaging and the fluorescence based methods used to visualize individual aspects of virus-cell interactions. This review presents an overview of experimental methods and recent experiments that have employed quantitative microscopy in order to elucidate the dynamics of late stages in the HIV-1 replication cycle. This includes cytosolic interactions of the main structural protein, Gag, with itself and the viral RNA genome, the recruitment of Gag and RNA to the plasma membrane, virion assembly at the membrane and the recruitment of cellular proteins involved in HIV-1 release to the nascent budding site.Entities:
Keywords: ESCRT, live-cell imaging; HIV; assembly; fluorescence; microscopy
Mesh:
Substances:
Year: 2012 PMID: 22754649 PMCID: PMC3386619 DOI: 10.3390/v4050777
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.048
Figure 1Selective methods for quantitative fluorescence analysis of HIV-1 assembly. Numerous fluorescence methods are available for investigating the dynamics of viral processes and virus-cell interactions. A few of them are highlighted in the figure. (A) FRET can be used to investigate the spatial distribution of molecular interactions in live cells. Using Gag.CFP and Gag.YFP, Hogue et al. investigated the interaction of WT and mutant Gag molecules in the cytosol and plasma membrane using FRET [18]. (B) FFS uses fluctuations in fluorescence intensity to determine the mobility of fluorescently labeled molecules. From FFS experiments on GFP-tagged Gag with deletion of the nucleocapsid (NC) domain, plasma membrane bound GFP, and cytosolic GFP, Larson et al. demonstrated that the mobility of Gag is significantly decreased in the plasma membrane as shown by the shift in the correlation curve to longer times. Thus, with FFS, they could investigate the role of NC in the assembly process [19]. (C) RICS measures the mobility of fluorescence molecules by utilizing the correlations between pixels in a raster‑scanned image. The RICS autocorrelation function for Venus (left) and Venus‑labeled Gag (right) are shown. (D) N&B Analysis determines the number and molecular brightness of the labeled biomolecules from the fluctuations in fluorescence intensity over time. A small number of large bright complexes will show a larger variance in the measured fluorescence intensity than a larger number of dim molecules, even though the average fluorescence intensity may be similar. (E) Fluorescence moment image analysis uses the fluorescence intensity distribution of an image to determine the number and brightness of complexes in the image. A higher-order moment analysis was performed by Baumgärtel et al. to estimate the number of VPS4 molecules that interact with nascent HIV-1 assembly sites [20]. (F) SVT can be used to following individual viruses as they enter or exit living cells. The position of the virus is determined in each frame by fitting the point-spread function to a 2D Gaussian, yielding the trajectory. From the trajectory information, the fluorescence intensity during the trajectory or the diffusional behavior can be determined [21].
Potential applications of quantitative fluorescence imaging techniques.
| Method | Potential Applications |
|---|---|
| Fluorescence Resonance Energy Transfer ( | Spatial and temporal investigations of molecular interactions (Gag-Gag interactions, membrane microdomain clustering [ |
| Conformational dynamics | |
| Fluorescence Fluctuation Spectroscopy ( | Binding kinetics and affinities |
| Determination of the mobility of molecular complexes (Gag-Gag interactions in the cytosol [ | |
| Detection of molecular interactions | |
| Mapping of the local environment of the cell through its influence on the diffusion properties | |
| Determination of fluorophores per complex (Gag stoichiometry in VLPs [ | |
| Raster Image Correlation Spectroscopy ( | Binding kinetics and affinities |
| Determination of the mobility of molecular complexes | |
| Detection of molecular interactions | |
| Number and Brightness Analysis ( | Determination of molecular or complex concentration, brightness and stoichiometry at each pixel of an image from an image series [ |
| Fluorescence Moment Image Analysis, Image Correlation Spectroscopy ( | Determination of molecular or complex concentration, brightness and stoichiometry and presence of different subpopulations from the intensity distribution over a single image (cytoplasmic Gag-Gag interactions [ |
| Live cell imaging combined with Single Virus Tracing ( | Analysis of entry and release pathways [ |
| Kinetics of virus entry and assembly [ | |
| Dynamics of intracellular trafficking of virus or viral proteins | |
| Interaction of viral proteins with host factors [ |
Figure 2Architecture of the HIV-1 budding site and of released particles. (A) Electron micrograph of a HIV-1 budding site showing immature and mature virions at the plasma membrane of a virus producing T-cell. Scale bar 100 nm. (B) Schematic representation of the structures shown in (A).
Figure 4Interaction of VPS4 with HIV-1 assembly sites. (A) Model illustrating the interaction of the AAA-ATPase VPS4 during the three different HIV-1 assembly phases, based on several independent experimental studies including recent live-cell imaging results from Baumgärtel et al. [20] and Jouvenet et al. [39]. (B) Average kinetic scheme for Gag.mCherry assembly derived from experimental data (top). Histogram of time points during which VPS4A-Gag interactions and ATPase activity could be monitored at the membrane (bottom). The majority of VPS4A activity took place during phase II of the assembly process before the actual release of the virus [20]. Figure adapted from Baumgärtel et al. [92].