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Article: High-resolution in situ structure determination by cryo-electron tomography and subtomogram averaging using emClarity

TitleHigh-resolution in situ structure determination by cryo-electron tomography and subtomogram averaging using emClarity
Authors
Issue Date2022
Citation
Nature Protocols, 2022, v. 17, n. 2, p. 421-444 How to Cite?
AbstractCryo-electron tomography and subtomogram averaging (STA) has developed rapidly in recent years. It provides structures of macromolecular complexes in situ and in cellular context at or below subnanometer resolution and has led to unprecedented insights into the inner working of molecular machines in their native environment, as well as their functional relevant conformations and spatial distribution within biological cells or tissues. Given the tremendous potential of cryo-electron tomography STA in in situ structural cell biology, we previously developed emClarity, a graphics processing unit-accelerated image-processing software that offers STA and classification of macromolecular complexes at high resolution. However, the workflow remains challenging, especially for newcomers to the field. In this protocol, we describe a detailed workflow, processing and parameters associated with each step, from initial tomography tilt-series data to the final 3D density map, with several features unique to emClarity. We use four different samples, including human immunodeficiency virus type 1 Gag assemblies, ribosome and apoferritin, to illustrate the procedure and results of STA and classification. Following the processing steps described in this protocol, along with a comprehensive tutorial and guidelines for troubleshooting and parameter optimization, one can obtain density maps up to 2.8 Å resolution from six tilt series by cryo-electron tomography STA.
Persistent Identifierhttp://hdl.handle.net/10722/316641
ISSN
2023 Impact Factor: 13.1
2023 SCImago Journal Rankings: 7.419
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorNi, Tao-
dc.contributor.authorFrosio, Thomas-
dc.contributor.authorMendonça, Luiza-
dc.contributor.authorSheng, Yuewen-
dc.contributor.authorClare, Daniel-
dc.contributor.authorHimes, Benjamin A.-
dc.contributor.authorZhang, Peijun-
dc.date.accessioned2022-09-14T11:40:56Z-
dc.date.available2022-09-14T11:40:56Z-
dc.date.issued2022-
dc.identifier.citationNature Protocols, 2022, v. 17, n. 2, p. 421-444-
dc.identifier.issn1754-2189-
dc.identifier.urihttp://hdl.handle.net/10722/316641-
dc.description.abstractCryo-electron tomography and subtomogram averaging (STA) has developed rapidly in recent years. It provides structures of macromolecular complexes in situ and in cellular context at or below subnanometer resolution and has led to unprecedented insights into the inner working of molecular machines in their native environment, as well as their functional relevant conformations and spatial distribution within biological cells or tissues. Given the tremendous potential of cryo-electron tomography STA in in situ structural cell biology, we previously developed emClarity, a graphics processing unit-accelerated image-processing software that offers STA and classification of macromolecular complexes at high resolution. However, the workflow remains challenging, especially for newcomers to the field. In this protocol, we describe a detailed workflow, processing and parameters associated with each step, from initial tomography tilt-series data to the final 3D density map, with several features unique to emClarity. We use four different samples, including human immunodeficiency virus type 1 Gag assemblies, ribosome and apoferritin, to illustrate the procedure and results of STA and classification. Following the processing steps described in this protocol, along with a comprehensive tutorial and guidelines for troubleshooting and parameter optimization, one can obtain density maps up to 2.8 Å resolution from six tilt series by cryo-electron tomography STA.-
dc.languageeng-
dc.relation.ispartofNature Protocols-
dc.titleHigh-resolution in situ structure determination by cryo-electron tomography and subtomogram averaging using emClarity-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1038/s41596-021-00648-5-
dc.identifier.pmid35022621-
dc.identifier.scopuseid_2-s2.0-85122868535-
dc.identifier.volume17-
dc.identifier.issue2-
dc.identifier.spage421-
dc.identifier.epage444-
dc.identifier.eissn1750-2799-
dc.identifier.isiWOS:000741973800005-

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