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      DNA origami signposts for identifying proteins on cell membranes by electron cryotomography

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          Summary

          Electron cryotomography (cryoET), an electron cryomicroscopy (cryoEM) modality, has changed our understanding of biological function by revealing the native molecular details of membranes, viruses, and cells. However, identification of individual molecules within tomograms from cryoET is challenging because of sample crowding and low signal-to-noise ratios. Here, we present a tagging strategy for cryoET that precisely identifies individual protein complexes in tomograms without relying on metal clusters. Our method makes use of DNA origami to produce “molecular signposts” that target molecules of interest, here via fluorescent fusion proteins, providing a platform generally applicable to biological surfaces. We demonstrate the specificity of signpost origami tags (SPOTs) in vitro as well as their suitability for cryoET of membrane vesicles, enveloped viruses, and the exterior of intact mammalian cells.

          Graphical Abstract

          Highlights

          • Asymmetric DNA signpost origami tags (SPOTs) precisely localize proteins

          • SPOTs identify specific proteins in electron cryomicroscopy

          • SPOTs have a high contrast “sign” and functionalized “post” base for targeting

          • SPOTs recognize fluorescent fusion proteins on vesicles, viruses, and cell surfaces

          Abstract

          Large, folded DNA structures, designed to recognize proteins on cell surfaces, facilitate in situ structural analyses.

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          Most cited references89

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          Fiji: an open-source platform for biological-image analysis.

          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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            UCSF Chimera--a visualization system for exploratory research and analysis.

            The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
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              Automated electron microscope tomography using robust prediction of specimen movements.

              A new method was developed to acquire images automatically at a series of specimen tilts, as required for tomographic reconstruction. The method uses changes in specimen position at previous tilt angles to predict the position at the current tilt angle. Actual measurement of the position or focus is skipped if the statistical error of the prediction is low enough. This method allows a tilt series to be acquired rapidly when conditions are good but falls back toward the traditional approach of taking focusing and tracking images when necessary. The method has been implemented in a program, SerialEM, that provides an efficient environment for data acquisition. This program includes control of an energy filter as well as a low-dose imaging mode, in which tracking and focusing occur away from the area of interest. The program can automatically acquire a montage of overlapping frames, allowing tomography of areas larger than the field of the CCD camera. It also includes tools for navigating between specimen positions and finding regions of interest.
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                Author and article information

                Contributors
                Journal
                Cell
                Cell
                Cell
                Cell Press
                0092-8674
                1097-4172
                18 February 2021
                18 February 2021
                : 184
                : 4
                : 1110-1121.e16
                Affiliations
                [1 ]Oxford Particle Imaging Centre, Division of Structural Biology, University of Oxford, Wellcome Centre for Human Genetics, Roosevelt Drive, Oxford UK OX3 7BN
                [2 ]Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford UK OX1 3PU
                [3 ]Centre for Structural Systems Biology, Heinrich-Pette-Institut, Leibniz-Institut für Experimentelle Virologie, Notkestrasse 85, 22607 Hamburg, Germany
                [4 ]Department of Chemistry, University of Hamburg, Martin-Luther-King Platz 6, 20146 Hamburg, Germany
                Author notes
                [∗∗ ]Corresponding author kay.gruenewald@ 123456cssb-hamburg.de
                [∗∗∗ ]Corresponding author lindsay@ 123456strubi.ox.ac.uk
                [5]

                Lead contact

                Article
                S0092-8674(21)00076-3
                10.1016/j.cell.2021.01.033
                7895908
                33606980
                ce8c3d21-35a2-493d-ada6-662410ac4a8b
                © 2021 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 4 June 2020
                : 14 September 2020
                : 20 January 2021
                Categories
                Resource

                Cell biology
                aptamers,cryoem,cellular electron cryotomography,dna origami,electron cryomicroscopy,labeling,molecular arrows,protein localisation,signpost origami tags,tagging

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