Practical considerations for using K3 cameras in CDS mode for high-resolution and high-throughput single particle cryo-EM.


Journal

Journal of structural biology
ISSN: 1095-8657
Titre abrégé: J Struct Biol
Pays: United States
ID NLM: 9011206

Informations de publication

Date de publication:
09 2021
Historique:
received: 23 11 2020
revised: 16 04 2021
accepted: 06 05 2021
pubmed: 14 5 2021
medline: 5 4 2022
entrez: 13 5 2021
Statut: ppublish

Résumé

Detector technology plays a pivotal role in high-resolution and high-throughput cryo-EM structure determination. Compared with the first-generation, single-electron counting direct detection camera (Gatan K2), the latest K3 camera is faster, larger, and now offers a correlated-double sampling mode (CDS). Importantly this results in a higher DQE and improved throughput compared to its predecessor. In this study, we focused on optimizing camera data collection parameters for daily use within a cryo-EM facility and explored the balance between throughput and resolution. In total, eight data sets of murine heavy-chain apoferritin were collected at different dose rates and magnifications, using 9-hole image shift data collection strategies. The performance of the camera was characterized by the quality of the resultant 3D reconstructions. Our results demonstrated that the Gatan K3 operating in CDS mode outperformed standard (nonCDS) mode in terms of reconstruction resolution in all tested conditions with 8 electrons per pixel per second being the optimal dose rate. At low magnification (64kx) we were able to achieve reconstruction resolutions of 149% of the physical Nyquist limit (1.8 Å with a 1.346 Å physical pixel size). Low magnification allows more particles to be collected per image, aiding analysis of heterogeneous samples requiring large data sets. At moderate magnification (105kx, 0.834 Å physical pixel size) we achieved a resolution of 1.65 Å within 8-h of data collection, a condition optimal for achieving high-resolution on well behaved samples. Our results also show that for an optimal sample like apoferritin, one can achieve better than 2.5 Å resolution with 5 min of data collection. Together, our studies validate the most efficient ways of imaging protein complexes using the K3 direct detector and will greatly benefit the cryo-EM community.

Identifiants

pubmed: 33984504
pii: S1047-8477(21)00050-2
doi: 10.1016/j.jsb.2021.107745
pii:
doi:

Substances chimiques

Apoferritins 9013-31-4

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

107745

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Ming Sun (M)

Department of Biochemistry & Biophysics, University of California, San Francisco, CA 94158, United States.

Caleigh M Azumaya (CM)

Department of Biochemistry & Biophysics, University of California, San Francisco, CA 94158, United States.

Eric Tse (E)

Institute for Neurodegenerative Diseases, University of California, San Francisco, CA 94158, United States.

David P Bulkley (DP)

Department of Biochemistry & Biophysics, University of California, San Francisco, CA 94158, United States.

Matthew B Harrington (MB)

Department of Biochemistry & Biophysics, University of California, San Francisco, CA 94158, United States.

Glenn Gilbert (G)

Department of Biochemistry & Biophysics, University of California, San Francisco, CA 94158, United States.

Adam Frost (A)

Department of Biochemistry & Biophysics, University of California, San Francisco, CA 94158, United States; Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA 94158, United States.

Daniel Southworth (D)

Institute for Neurodegenerative Diseases, University of California, San Francisco, CA 94158, United States.

Kliment A Verba (KA)

Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA 94158, United States; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, United States.

Yifan Cheng (Y)

Department of Biochemistry & Biophysics, University of California, San Francisco, CA 94158, United States; Howard Hughes Medical Institute, University of California, San Francisco, CA 94158, United States.

David A Agard (DA)

Department of Biochemistry & Biophysics, University of California, San Francisco, CA 94158, United States. Electronic address: agard@msg.ucsf.edu.

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