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A complete data processing workflow for CryoET and subtomogram averaging

Electron cryotomography (CryoET) is currently the only method capable of visualizing cells in 3D at nanometer resolutions. While modern instruments produce massive amounts of tomography data containing extremely rich structural information, the data processing is very labor intensive and results are...

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Detalles Bibliográficos
Autores principales: Chen, Muyuan, Bell, James M., Shi, Xiaodong, Sun, Stella Y., Wang, Zhao, Ludtke, Steven J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858567/
https://www.ncbi.nlm.nih.gov/pubmed/31611690
http://dx.doi.org/10.1038/s41592-019-0591-8
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author Chen, Muyuan
Bell, James M.
Shi, Xiaodong
Sun, Stella Y.
Wang, Zhao
Ludtke, Steven J.
author_facet Chen, Muyuan
Bell, James M.
Shi, Xiaodong
Sun, Stella Y.
Wang, Zhao
Ludtke, Steven J.
author_sort Chen, Muyuan
collection PubMed
description Electron cryotomography (CryoET) is currently the only method capable of visualizing cells in 3D at nanometer resolutions. While modern instruments produce massive amounts of tomography data containing extremely rich structural information, the data processing is very labor intensive and results are often limited by the skills of the personnel rather than the data. We present an integrated workflow that covers the entire tomography data processing pipeline, from automated tilt series alignment to subnanometer resolution subtomogram averaging. Resolution enhancement is made possible through the use of per-particle per-tilt CTF correction and alignment. The workflow greatly reduces human effort and increases throughput and is capable of determining protein structures at state-of-the-art resolutions for both purified macromolecules and cells.
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spelling pubmed-68585672020-04-14 A complete data processing workflow for CryoET and subtomogram averaging Chen, Muyuan Bell, James M. Shi, Xiaodong Sun, Stella Y. Wang, Zhao Ludtke, Steven J. Nat Methods Article Electron cryotomography (CryoET) is currently the only method capable of visualizing cells in 3D at nanometer resolutions. While modern instruments produce massive amounts of tomography data containing extremely rich structural information, the data processing is very labor intensive and results are often limited by the skills of the personnel rather than the data. We present an integrated workflow that covers the entire tomography data processing pipeline, from automated tilt series alignment to subnanometer resolution subtomogram averaging. Resolution enhancement is made possible through the use of per-particle per-tilt CTF correction and alignment. The workflow greatly reduces human effort and increases throughput and is capable of determining protein structures at state-of-the-art resolutions for both purified macromolecules and cells. 2019-10-14 2019-11 /pmc/articles/PMC6858567/ /pubmed/31611690 http://dx.doi.org/10.1038/s41592-019-0591-8 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Chen, Muyuan
Bell, James M.
Shi, Xiaodong
Sun, Stella Y.
Wang, Zhao
Ludtke, Steven J.
A complete data processing workflow for CryoET and subtomogram averaging
title A complete data processing workflow for CryoET and subtomogram averaging
title_full A complete data processing workflow for CryoET and subtomogram averaging
title_fullStr A complete data processing workflow for CryoET and subtomogram averaging
title_full_unstemmed A complete data processing workflow for CryoET and subtomogram averaging
title_short A complete data processing workflow for CryoET and subtomogram averaging
title_sort complete data processing workflow for cryoet and subtomogram averaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858567/
https://www.ncbi.nlm.nih.gov/pubmed/31611690
http://dx.doi.org/10.1038/s41592-019-0591-8
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