High-resolution in situ structure determination by cryo-electron tomography and subtomogram averaging using emClarity

Tao Ni, Thomas Frosio, Luiza Mendonça, Yuewen Sheng, Daniel Clare, Benjamin A. Himes, Peijun Zhang

Research output: Contribution to journalReview articlepeer-review

42 Scopus citations

Abstract

Cryo-electron tomography and subtomogram averaging (STA) has developed rapidly in recent years. It provides structures of macromolecular complexes in situ and in cellular context at or below subnanometer resolution and has led to unprecedented insights into the inner working of molecular machines in their native environment, as well as their functional relevant conformations and spatial distribution within biological cells or tissues. Given the tremendous potential of cryo-electron tomography STA in in situ structural cell biology, we previously developed emClarity, a graphics processing unit-accelerated image-processing software that offers STA and classification of macromolecular complexes at high resolution. However, the workflow remains challenging, especially for newcomers to the field. In this protocol, we describe a detailed workflow, processing and parameters associated with each step, from initial tomography tilt-series data to the final 3D density map, with several features unique to emClarity. We use four different samples, including human immunodeficiency virus type 1 Gag assemblies, ribosome and apoferritin, to illustrate the procedure and results of STA and classification. Following the processing steps described in this protocol, along with a comprehensive tutorial and guidelines for troubleshooting and parameter optimization, one can obtain density maps up to 2.8 Å resolution from six tilt series by cryo-electron tomography STA.

Original languageEnglish (US)
Pages (from-to)421-444
Number of pages24
JournalNature Protocols
Volume17
Issue number2
DOIs
StatePublished - Feb 2022
Externally publishedYes

Bibliographical note

Funding Information:
We are grateful to Y. Zhu for discussion and critical reading of the manuscript. We acknowledge Diamond for access and support of the CryoEM facilities at the UK national Electron Bio-Imaging Centre (eBIC, proposal CM26464), funded by the Wellcome Trust, Medical Research Council (MRC) and Biotechnology and Biological Sciences Research Council (BBSRC). The computational aspects of this research were supported by the Wellcome Trust Core Award grant number 203141/Z/16/Z and the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC). This work was supported by the National Institutes of Health grants AI150481, the UK Wellcome Trust Investigator Award 206422/Z/17/Z, the UK Biotechnology and Biological Sciences Research Council grant BB/S003339/1, and the European Research Council Advanced Grant (ERC AdG) grant 101021133.

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature Limited.

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

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