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Cryo-EM grid optimization for membrane proteins

Cryo-EM grid preparation is an important bottleneck in protein structure determination, especially for membrane proteins, typically requiring screening of a large number of conditions. We systematically investigated the effects of buffer components, blotting conditions and grid types on the outcome...

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Detalles Bibliográficos
Autores principales: Kampjut, Domen, Steiner, Julia, Sazanov, Leonid A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900225/
https://www.ncbi.nlm.nih.gov/pubmed/33665558
http://dx.doi.org/10.1016/j.isci.2021.102139
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author Kampjut, Domen
Steiner, Julia
Sazanov, Leonid A.
author_facet Kampjut, Domen
Steiner, Julia
Sazanov, Leonid A.
author_sort Kampjut, Domen
collection PubMed
description Cryo-EM grid preparation is an important bottleneck in protein structure determination, especially for membrane proteins, typically requiring screening of a large number of conditions. We systematically investigated the effects of buffer components, blotting conditions and grid types on the outcome of grid preparation of five different membrane protein samples. Aggregation was the most common type of problem which was addressed by changing detergents, salt concentration or reconstitution of proteins into nanodiscs or amphipols. We show that the optimal concentration of detergent is between 0.05 and 0.4% and that the presence of a low concentration of detergent with a high critical micellar concentration protects the proteins from denaturation at the air-water interface. Furthermore, we discuss the strategies for achieving an adequate ice thickness, particle coverage and orientation distribution on free ice and on support films. Our findings provide a clear roadmap for comprehensive screening of conditions for cryo-EM grid preparation of membrane proteins.
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spelling pubmed-79002252021-03-03 Cryo-EM grid optimization for membrane proteins Kampjut, Domen Steiner, Julia Sazanov, Leonid A. iScience Article Cryo-EM grid preparation is an important bottleneck in protein structure determination, especially for membrane proteins, typically requiring screening of a large number of conditions. We systematically investigated the effects of buffer components, blotting conditions and grid types on the outcome of grid preparation of five different membrane protein samples. Aggregation was the most common type of problem which was addressed by changing detergents, salt concentration or reconstitution of proteins into nanodiscs or amphipols. We show that the optimal concentration of detergent is between 0.05 and 0.4% and that the presence of a low concentration of detergent with a high critical micellar concentration protects the proteins from denaturation at the air-water interface. Furthermore, we discuss the strategies for achieving an adequate ice thickness, particle coverage and orientation distribution on free ice and on support films. Our findings provide a clear roadmap for comprehensive screening of conditions for cryo-EM grid preparation of membrane proteins. Elsevier 2021-02-05 /pmc/articles/PMC7900225/ /pubmed/33665558 http://dx.doi.org/10.1016/j.isci.2021.102139 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Kampjut, Domen
Steiner, Julia
Sazanov, Leonid A.
Cryo-EM grid optimization for membrane proteins
title Cryo-EM grid optimization for membrane proteins
title_full Cryo-EM grid optimization for membrane proteins
title_fullStr Cryo-EM grid optimization for membrane proteins
title_full_unstemmed Cryo-EM grid optimization for membrane proteins
title_short Cryo-EM grid optimization for membrane proteins
title_sort cryo-em grid optimization for membrane proteins
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900225/
https://www.ncbi.nlm.nih.gov/pubmed/33665558
http://dx.doi.org/10.1016/j.isci.2021.102139
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