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      Direct Capsid Labeling of Infectious HIV-1 by Genetic Code Expansion Allows Detection of Largely Complete Nuclear Capsids and Suggests Nuclear Entry of HIV-1 Complexes via Common Routes

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          ABSTRACT

          The cone-shaped mature HIV-1 capsid is the main orchestrator of early viral replication. After cytosolic entry, it transports the viral replication complex along microtubules toward the nucleus. While it was initially believed that the reverse transcribed genome is released from the capsid in the cytosol, recent observations indicate that a high amount of capsid protein (CA) remains associated with subviral complexes during import through the nuclear pore complex (NPC). Observation of postentry events via microscopic detection of HIV-1 CA is challenging, since epitope shielding limits immunodetection and the genetic fragility of CA hampers direct labeling approaches. Here, we present a minimally invasive strategy based on genetic code expansion and click chemistry that allows for site-directed fluorescent labeling of HIV-1 CA, while retaining virus morphology and infectivity. Thereby, we could directly visualize virions and subviral complexes using advanced microscopy, including nanoscopy and correlative imaging. Quantification of signal intensities of subviral complexes revealed an amount of CA associated with nuclear complexes in HeLa-derived cells and primary T cells consistent with a complete capsid and showed that treatment with the small molecule inhibitor PF74 did not result in capsid dissociation from nuclear complexes. Cone-shaped objects detected in the nucleus by electron tomography were clearly identified as capsid-derived structures by correlative microscopy. High-resolution imaging revealed dose-dependent clustering of nuclear capsids, suggesting that incoming particles may follow common entry routes.

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          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Computer visualization of three-dimensional image data using IMOD.

            We have developed a computer software package, IMOD, as a tool for analyzing and viewing three-dimensional biological image data. IMOD is useful for studying and modeling data from tomographic, serial section, and optical section reconstructions. The software allows image data to be visualized by several different methods. Models of the image data can be visualized by volume or contour surface rendering and can yield quantitative information.
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              Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM).

              We have developed a high-resolution fluorescence microscopy method based on high-accuracy localization of photoswitchable fluorophores. In each imaging cycle, only a fraction of the fluorophores were turned on, allowing their positions to be determined with nanometer accuracy. The fluorophore positions obtained from a series of imaging cycles were used to reconstruct the overall image. We demonstrated an imaging resolution of 20 nm. This technique can, in principle, reach molecular-scale resolution.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                16 August 2022
                Sep-Oct 2022
                16 August 2022
                : 13
                : 5
                : e01959-22
                Affiliations
                [a ] Department of Infectious Diseases, Virology, University Hospital Heidelberggrid.5253.1, , Heidelberg, Germany
                [b ] German Center for Infection Research, partner site Heidelberg, Germany
                Columbia University Medical Center
                Author notes

                The authors declare no conflict of interest.

                Article
                01959-22 mbio.01959-22
                10.1128/mbio.01959-22
                9600849
                35972146
                e108a925-d0e8-4cbe-a98f-b286242940b2
                Copyright © 2022 Schifferdecker et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 20 July 2022
                : 26 July 2022
                Page count
                supplementary-material: 10, Figures: 7, Tables: 1, Equations: 0, References: 84, Pages: 22, Words: 16164
                Funding
                Funded by: Deutsche Forschungsgemeinschaft (DFG), FundRef https://doi.org/10.13039/501100001659;
                Award ID: 240245660
                Award Recipient : Award Recipient :
                Funded by: Deutsches Zentrum für Infektionsforschung (DZIF), FundRef https://doi.org/10.13039/100009139;
                Award Recipient : Award Recipient :
                Categories
                Research Article
                editors-pick, Editor's Pick
                virology, Virology
                Custom metadata
                September/October 2022

                Life sciences
                hiv-1,capsid,click labeling,amber suppression,genetic code expansion,primary cd4+ t cells,electron microscopy,correlative microscopy,sted,superresolution microscopy,human immunodeficiency virus

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