Cryo-electron Tomography Remote Data Collection and Subtomogram Averaging

被引:1
|
作者
Sheng, Yuewen [1 ]
Morris, Kyle [1 ]
Radecke, Julika [1 ]
Zhang, Peijun [1 ,2 ,3 ]
机构
[1] Diamond Light Source Ltd, Electron Bioimaging Ctr, Harwell Sci & Innovat Campus, Didcot, Oxon, England
[2] Univ Oxford, Wellcome Trust Ctr Human Genet, Div Struct Biol, Oxford, England
[3] Univ Oxford, Oxford Inst, Chinese Acad Med Sci, Oxford, England
来源
基金
英国惠康基金;
关键词
ELECTRON; ORGANIZATION; REFINEMENT; BIOLOGY; COMPLEX;
D O I
10.3791/63923
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cryo-electron tomography (cryo-ET) has been gaining momentum in recent years, especially since the introduction of direct electron detectors, improved automated acquisition strategies, preparative techniques that expand the possibilities of what the electron microscope can image at high-resolution using cryo-ET and new subtomogram averaging software. Additionally, data acquisition has become increasingly streamlined, making it more accessible to many users. The SARS-CoV-2 pandemic has further accelerated remote cryo-electron microscopy (cryo-EM) data collection, especially for single-particle cryo-EM, in many facilities globally, providing uninterrupted user access to state-of-the-art instruments during the pandemic. With the recent advances in Tomo5 (software for 3D electron tomography), remote cryoET data collection has become robust and easy to handle from anywhere in the world. This article aims to provide a detailed walk-through, starting from the data collection setup in the tomography software for the process of a (remote) cryo-ET data collection session with detailed troubleshooting. The (remote) data collection protocol is further complemented with the workflow for structure determination at near-atomic resolution by subtomogram averaging with emClarity, using apoferritin as an example.
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页数:30
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