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  Subtomogram averaging from cryo-electron tomograms

Leigh, K. E., Navarro, P. P., Scaramuzza, S., Chen, W., Zhang, Y., Castaño-Díez, D., et al. (2019). Subtomogram averaging from cryo-electron tomograms. In T. Müller-Reichert (Ed.), Methods in Cell Biology (1, pp. 217-259). Academic Press. doi:10.1016/bs.mcb.2019.04.003.

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 Creators:
Leigh, Kendra E.1, 2, Author           
Navarro, Paula P.3, Author
Scaramuzza, Stefano3, Author
Chen, Wenbo1, 2, Author           
Zhang, Yingyi1, 2, Author           
Castaño-Díez, Daniel3, 4, Author
Kudryashev, Misha1, 2, Author                 
Affiliations:
1Sofja Kovalevskaja Group, Max Planck Institute of Biophysics, Max Planck Society, ou_2253651              
2Buchmann Institute for Molecular Life Sciences, Goethe University of Frankfurt, Frankfurt am Main, Germany, ou_persistent22              
3Center for Cellular Imaging and Nano-Analytics (C-CINA), Biozentrum, University of Basel, Basel, Switzerland, ou_persistent22              
4BioEM Lab, Center for Cellular Imaging and Nano-Analytics (C-CINA), Biozentrum, University of Basel, Basel, Switzerland, ou_persistent22              

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Free keywords: Cryo-electron tomography; Subtomogram averaging; Sub-nanometer resolution; Image processing; Tilt series alignment; Contrast transfer function; Tomogram reconstruction; Classification; Algorithms; Software
 Abstract: Cryo-electron tomography (cryo-ET) allows three-dimensional (3D) visualization of frozen-hydrated biological samples, such as protein complexes and cell organelles, in near-native environments at nanometer scale. Protein complexes that are present in multiple copies in a set of tomograms can be extracted, mutually aligned, and averaged to yield a signal-enhanced 3D structure up to sub-nanometer or even near-atomic resolution. This technique, called subtomogram averaging (StA), is powered by improvements in EM hardware and image processing software. Importantly, StA provides unique biological insights into the structure and function of cellular machinery in close-to-native contexts. In this chapter, we describe the principles and key steps of StA. We briefly cover sample preparation and data collection with an emphasis on image processing procedures related to tomographic reconstruction, subtomogram alignment, averaging, and classification. We conclude by summarizing current limitations and future directions of this technique with a focus on high-resolution StA.

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Language(s): eng - English
 Dates: 20192019-05-152019-07-26
 Publication Status: Issued
 Pages: 42
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/bs.mcb.2019.04.003
 Degree: -

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Title: Methods in Cell Biology
  Subtitle : Three-Dimensional Electron Microscopy
Source Genre: Series
 Creator(s):
Müller-Reichert, Thomas1, Editor
Pigino, Gaia2, Author           
Affiliations:
1 Core Facility Cellular Imaging, Faculty of Medicine Carl Gustav Carus, Dresden, Germany, ou_persistent22            
2 Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society, ou_2340692            
Publ. Info: Academic Press, 1
Pages: 306 Volume / Issue: 152 Sequence Number: - Start / End Page: 217 - 259 Identifier: ISBN: 9780128170182