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Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR
Structures of macromolecules in their native state provide unique unambiguous insights into their functions. Cryo-electron tomography combined with subtomogram averaging demonstrated the power to solve such structures in situ at resolutions in the range of 3 Angstrom for some macromolecules. In orde...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582028/ https://www.ncbi.nlm.nih.gov/pubmed/37848413 http://dx.doi.org/10.1038/s41467-023-42085-w |
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author | Balyschew, Nikita Yushkevich, Artsemi Mikirtumov, Vasilii Sanchez, Ricardo M. Sprink, Thiemo Kudryashev, Mikhail |
author_facet | Balyschew, Nikita Yushkevich, Artsemi Mikirtumov, Vasilii Sanchez, Ricardo M. Sprink, Thiemo Kudryashev, Mikhail |
author_sort | Balyschew, Nikita |
collection | PubMed |
description | Structures of macromolecules in their native state provide unique unambiguous insights into their functions. Cryo-electron tomography combined with subtomogram averaging demonstrated the power to solve such structures in situ at resolutions in the range of 3 Angstrom for some macromolecules. In order to be applicable to the structural determination of the majority of macromolecules observable in cells in limited amounts, processing of tomographic data has to be performed in a high-throughput manner. Here we present TomoBEAR—a modular configurable workflow engine for streamlined processing of cryo-electron tomographic data for subtomogram averaging. TomoBEAR combines commonly used cryo-EM packages with reasonable presets to provide a transparent (“white box”) approach for data management and processing. We demonstrate applications of TomoBEAR to two data sets of purified macromolecular targets, to an ion channel RyR1 in a membrane, and the tomograms of plasma FIB-milled lamellae and demonstrate the ability to produce high-resolution structures. TomoBEAR speeds up data processing, minimizes human interventions, and will help accelerate the adoption of in situ structural biology by cryo-ET. The source code and the documentation are freely available. |
format | Online Article Text |
id | pubmed-10582028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105820282023-10-19 Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR Balyschew, Nikita Yushkevich, Artsemi Mikirtumov, Vasilii Sanchez, Ricardo M. Sprink, Thiemo Kudryashev, Mikhail Nat Commun Article Structures of macromolecules in their native state provide unique unambiguous insights into their functions. Cryo-electron tomography combined with subtomogram averaging demonstrated the power to solve such structures in situ at resolutions in the range of 3 Angstrom for some macromolecules. In order to be applicable to the structural determination of the majority of macromolecules observable in cells in limited amounts, processing of tomographic data has to be performed in a high-throughput manner. Here we present TomoBEAR—a modular configurable workflow engine for streamlined processing of cryo-electron tomographic data for subtomogram averaging. TomoBEAR combines commonly used cryo-EM packages with reasonable presets to provide a transparent (“white box”) approach for data management and processing. We demonstrate applications of TomoBEAR to two data sets of purified macromolecular targets, to an ion channel RyR1 in a membrane, and the tomograms of plasma FIB-milled lamellae and demonstrate the ability to produce high-resolution structures. TomoBEAR speeds up data processing, minimizes human interventions, and will help accelerate the adoption of in situ structural biology by cryo-ET. The source code and the documentation are freely available. Nature Publishing Group UK 2023-10-17 /pmc/articles/PMC10582028/ /pubmed/37848413 http://dx.doi.org/10.1038/s41467-023-42085-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Balyschew, Nikita Yushkevich, Artsemi Mikirtumov, Vasilii Sanchez, Ricardo M. Sprink, Thiemo Kudryashev, Mikhail Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR |
title | Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR |
title_full | Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR |
title_fullStr | Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR |
title_full_unstemmed | Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR |
title_short | Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR |
title_sort | streamlined structure determination by cryo-electron tomography and subtomogram averaging using tomobear |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582028/ https://www.ncbi.nlm.nih.gov/pubmed/37848413 http://dx.doi.org/10.1038/s41467-023-42085-w |
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