Literature DB >> 27685097

Resolving macromolecular structures from electron cryo-tomography data using subtomogram averaging in RELION.

Tanmay A M Bharat1, Sjors H W Scheres1.   

Abstract

Electron cryo-tomography (cryo-ET) is a technique that is used to produce 3D pictures (tomograms) of complex objects such as asymmetric viruses, cellular organelles or whole cells from a series of tilted electron cryo-microscopy (cryo-EM) images. Averaging of macromolecular complexes found within tomograms is known as subtomogram averaging, and this technique allows structure determination of macromolecular complexes in situ. Subtomogram averaging is also gaining in popularity for the calculation of initial models for single-particle analysis. We describe herein a protocol for subtomogram averaging from cryo-ET data using the RELION software (http://www2.mrc-lmb.cam.ac.uk/relion). RELION was originally developed for cryo-EM single-particle analysis, and the subtomogram averaging approach presented in this protocol has been implemented in the existing workflow for single-particle analysis so that users may conveniently tap into existing capabilities of the RELION software. We describe how to calculate 3D models for the contrast transfer function (CTF) that describe the transfer of information in the imaging process, and we illustrate the results of classification and subtomogram averaging refinement for cryo-ET data of purified hepatitis B capsid particles and Saccharomyces cerevisiae 80S ribosomes. Using the steps described in this protocol, along with the troubleshooting and optimization guidelines, high-resolution maps can be obtained in which secondary structure elements are resolved subtomogram.

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Year:  2016        PMID: 27685097      PMCID: PMC5215819          DOI: 10.1038/nprot.2016.124

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  38 in total

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Review 5.  Structural biology in situ--the potential of subtomogram averaging.

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Journal:  Curr Opin Struct Biol       Date:  2013-03-04       Impact factor: 6.809

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  69 in total

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10.  Stress- and ubiquitylation-dependent phase separation of the proteasome.

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Journal:  Nature       Date:  2020-02-05       Impact factor: 49.962

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