Literature DB >> 31326022

Subtomogram averaging from cryo-electron tomograms.

Kendra E Leigh1, Paula P Navarro2, Stefano Scaramuzza2, Wenbo Chen1, Yingyi Zhang1, Daniel Castaño-Díez3, Misha Kudryashev4.   

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.
© 2019 Elsevier Inc. All rights reserved.

Keywords:  Algorithms; Classification; Contrast transfer function; Cryo-electron tomography; Image processing; Software; Sub-nanometer resolution; Subtomogram averaging; Tilt series alignment; Tomogram reconstruction

Mesh:

Year:  2019        PMID: 31326022     DOI: 10.1016/bs.mcb.2019.04.003

Source DB:  PubMed          Journal:  Methods Cell Biol        ISSN: 0091-679X            Impact factor:   1.441


  14 in total

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