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Fully Mechanically Controlled Automated Electron Microscopic Tomography
Knowledge of three-dimensional (3D) structures of each individual particles of asymmetric and flexible proteins is essential in understanding those proteins’ functions; but their structures are difficult to determine. Electron tomography (ET) provides a tool for imaging a single and unique biologica...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4941525/ https://www.ncbi.nlm.nih.gov/pubmed/27403922 http://dx.doi.org/10.1038/srep29231 |
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author | Liu, Jinxin Li, Hongchang Zhang, Lei Rames, Matthew Zhang, Meng Yu, Yadong Peng, Bo Celis, César Díaz Xu, April Zou, Qin Yang, Xu Chen, Xuefeng Ren, Gang |
author_facet | Liu, Jinxin Li, Hongchang Zhang, Lei Rames, Matthew Zhang, Meng Yu, Yadong Peng, Bo Celis, César Díaz Xu, April Zou, Qin Yang, Xu Chen, Xuefeng Ren, Gang |
author_sort | Liu, Jinxin |
collection | PubMed |
description | Knowledge of three-dimensional (3D) structures of each individual particles of asymmetric and flexible proteins is essential in understanding those proteins’ functions; but their structures are difficult to determine. Electron tomography (ET) provides a tool for imaging a single and unique biological object from a series of tilted angles, but it is challenging to image a single protein for three-dimensional (3D) reconstruction due to the imperfect mechanical control capability of the specimen goniometer under both a medium to high magnification (approximately 50,000–160,000×) and an optimized beam coherence condition. Here, we report a fully mechanical control method for automating ET data acquisition without using beam tilt/shift processes. This method could reduce the accumulation of beam tilt/shift that used to compensate the error from the mechanical control, but downgraded the beam coherence. Our method was developed by minimizing the error of the target object center during the tilting process through a closed-loop proportional-integral (PI) control algorithm. The validations by both negative staining (NS) and cryo-electron microscopy (cryo-EM) suggest that this method has a comparable capability to other ET methods in tracking target proteins while maintaining optimized beam coherence conditions for imaging. |
format | Online Article Text |
id | pubmed-4941525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49415252016-07-20 Fully Mechanically Controlled Automated Electron Microscopic Tomography Liu, Jinxin Li, Hongchang Zhang, Lei Rames, Matthew Zhang, Meng Yu, Yadong Peng, Bo Celis, César Díaz Xu, April Zou, Qin Yang, Xu Chen, Xuefeng Ren, Gang Sci Rep Article Knowledge of three-dimensional (3D) structures of each individual particles of asymmetric and flexible proteins is essential in understanding those proteins’ functions; but their structures are difficult to determine. Electron tomography (ET) provides a tool for imaging a single and unique biological object from a series of tilted angles, but it is challenging to image a single protein for three-dimensional (3D) reconstruction due to the imperfect mechanical control capability of the specimen goniometer under both a medium to high magnification (approximately 50,000–160,000×) and an optimized beam coherence condition. Here, we report a fully mechanical control method for automating ET data acquisition without using beam tilt/shift processes. This method could reduce the accumulation of beam tilt/shift that used to compensate the error from the mechanical control, but downgraded the beam coherence. Our method was developed by minimizing the error of the target object center during the tilting process through a closed-loop proportional-integral (PI) control algorithm. The validations by both negative staining (NS) and cryo-electron microscopy (cryo-EM) suggest that this method has a comparable capability to other ET methods in tracking target proteins while maintaining optimized beam coherence conditions for imaging. Nature Publishing Group 2016-07-11 /pmc/articles/PMC4941525/ /pubmed/27403922 http://dx.doi.org/10.1038/srep29231 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Liu, Jinxin Li, Hongchang Zhang, Lei Rames, Matthew Zhang, Meng Yu, Yadong Peng, Bo Celis, César Díaz Xu, April Zou, Qin Yang, Xu Chen, Xuefeng Ren, Gang Fully Mechanically Controlled Automated Electron Microscopic Tomography |
title | Fully Mechanically Controlled Automated Electron Microscopic Tomography |
title_full | Fully Mechanically Controlled Automated Electron Microscopic Tomography |
title_fullStr | Fully Mechanically Controlled Automated Electron Microscopic Tomography |
title_full_unstemmed | Fully Mechanically Controlled Automated Electron Microscopic Tomography |
title_short | Fully Mechanically Controlled Automated Electron Microscopic Tomography |
title_sort | fully mechanically controlled automated electron microscopic tomography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4941525/ https://www.ncbi.nlm.nih.gov/pubmed/27403922 http://dx.doi.org/10.1038/srep29231 |
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