Journal article
Mass-selective and ice-free cryo-EM protein sample preparation via native electrospray ion-beam deposition
- Abstract:
- Despite tremendous advances in sample preparation and classification algorithms for electron cryomicroscopy (cryo-EM) and single-particle analysis (SPA), sample heterogeneity remains a major challenge and can prevent access to high-resolution structures. In addition, optimization of preparation conditions for a given sample can be time consuming. In the current work, it is demonstrated that native electrospray ion-beam deposition (native ES-IBD) is an alternative, reliable approach for preparation of extremely high-purity samples, based on mass selection in vacuum. Folded protein ions are generated by native electrospray ionization, separated from other proteins, contaminants, aggregates, and fragments, gently deposited on cryo-EM grids, frozen in liquid nitrogen, and subsequently imaged by cryo-EM. We demonstrate homogeneous coverage of ice-free cryo-EM grids with mass-selected protein complexes. SPA reveals that the complexes remain folded and assembled, but variations in secondary and tertiary structure are currently limiting information in 2D classes and 3D EM density maps. We identify and discuss challenges that need to be addressed to obtain a resolution comparable to that of the established cryo-EM workflow. Our results show the potential of native ES-IBD to increase the scope and throughput of cryo-EM for protein structure determination and provide an essential link between gas phase and solution phase protein structures.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 4.5MB, Terms of use)
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- Publisher copy:
- 10.1093/pnasnexus/pgac153
Authors
- Publisher:
- Oxford University Press
- Journal:
- PNAS Nexus More from this journal
- Volume:
- 1
- Issue:
- 4
- Article number:
- pgac153
- Publication date:
- 2022-08-06
- Acceptance date:
- 2022-08-03
- DOI:
- EISSN:
-
2752-6542
- Language:
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English
- Keywords:
- Pubs id:
-
1272911
- Local pid:
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pubs:1272911
- Deposit date:
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2022-08-10
Terms of use
- Copyright holder:
- Esser et al.
- Copyright date:
- 2022
- Rights statement:
- ©2022 The Author(s). Published by Oxford University Press on behalf of National Academy of Sciences. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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