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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-7900225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kampjutdomen cryoemgridoptimizationformembraneproteins AT steinerjulia cryoemgridoptimizationformembraneproteins AT sazanovleonida cryoemgridoptimizationformembraneproteins |