Abstract

Cryo electron tomography with subsequent subtomogram averaging is a powerful technique to structurally analyze macromolecular complexes in their native context. Although close to atomic resolution in principle can be obtained, it is not clear how individual experimental parameters contribute to the attainable resolution. Here, we have used immature HIV-1 lattice as a benchmarking sample to optimize the attainable resolution for subtomogram averaging. We systematically tested various experimental parameters such as the order of projections, different angular increments and the use of the Volta phase plate. We find that although any of the prominently used acquisition schemes is sufficient to obtain subnanometer resolution, dose-symmetric acquisition provides considerably better outcome. We discuss our findings in order to provide guidance for data acquisition. Our data is publicly available and might be used to further develop processing routines.

Here the authors systematically benchmark cryo-electron tomography acquisition schemes to optimize the attainable resolution for subtomogram averaging, and find that dose-symmetric acquisition with even angular sampling provides a better outcome than most currently used acquisition schemes.

Details

Title
Benchmarking tomographic acquisition schemes for high-resolution structural biology
Author
Turoňová Beata 1   VIAFID ORCID Logo  ; Hagen Wim J H 1 ; Obr, Martin 2 ; Mosalaganti Shyamal 3   VIAFID ORCID Logo  ; Wouter, Beugelink J 4 ; Zimmerli, Christian E 5 ; Kräusslich Hans-Georg 6 ; Beck, Martin 7 

 Structure and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany 
 Universitätsklinikum Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany (GRID:grid.5253.1) (ISNI:0000 0001 0328 4908); Institute of Science and Technology Austria, Klosterneuburg, Austria (GRID:grid.33565.36) (ISNI:0000000404312247) 
 Structure and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany (GRID:grid.33565.36) 
 Structure and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany (GRID:grid.33565.36); Department of Chemistry, Faculty of Science, Utrecht University, Cryo-Electron Microscopy, Bijvoet Center for Biomolecular Research, CH Utrecht, The Netherlands (GRID:grid.5477.1) (ISNI:0000000120346234); Utrecht University, Crystal and Structural Chemistry, Bijvoet Center for Biomolecular Research, Department of Chemistry, Faculty of Science, Utrecht, The Netherlands (GRID:grid.5477.1) (ISNI:0000000120346234) 
 Structure and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany (GRID:grid.5477.1); Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany (GRID:grid.7700.0) (ISNI:0000 0001 2190 4373) 
 Universitätsklinikum Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany (GRID:grid.5253.1) (ISNI:0000 0001 0328 4908) 
 Structure and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany (GRID:grid.5253.1); Max Planck Institute of Biophysics, Frankfurt am Main, Germany (GRID:grid.419494.5) (ISNI:0000 0001 1018 9466) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2354705150
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.