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A complete data processing workflow for cryo-ET and subtomogram averaging.
Chen, Muyuan; Bell, James M; Shi, Xiaodong; Sun, Stella Y; Wang, Zhao; Ludtke, Steven J.
Afiliação
  • Chen M; Verna Marrs and McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX, USA.
  • Bell JM; Verna Marrs and McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX, USA.
  • Shi X; Quantitative and Computational Biosciences Graduate Program, Baylor College of Medicine, Houston, TX, USA.
  • Sun SY; Verna Marrs and McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX, USA.
  • Wang Z; Jiangsu Province Key Laboratory of Anesthesiology and Jiangsu Province Key Laboratory of Anesthesia and Analgesia Application, Xuzhou Medical University, Xuzhou, Jiangsu, China.
  • Ludtke SJ; Department of Bioengineering, Stanford University, Stanford, CA, USA.
Nat Methods ; 16(11): 1161-1168, 2019 11.
Article em En | MEDLINE | ID: mdl-31611690
ABSTRACT
Electron cryotomography is currently the only method capable of visualizing cells in three dimensions at nanometer resolutions. While modern instruments produce massive amounts of tomography data containing extremely rich structural information, data processing is very labor intensive and the 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 contrast transfer function correction and alignment. The workflow greatly reduces human bias, increases throughput and more closely approaches data-limited resolution for subtomogram averaging in both purified macromolecules and cells.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article