Validation of the Orthogonal Tilt Reconstruction Method with a Biological Test Sample

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Validation of the Orthogonal Tilt Reconstruction Method with a Biological Test Sample

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dc.contributor.author Chandramouli, Preethi
dc.contributor.author Hernandez-Lopez, Rogelio Antonio
dc.contributor.author Wang, Hong-Wei
dc.contributor.author Leschziner, Andres
dc.date.accessioned 2012-06-19T13:40:03Z
dc.date.issued 2011
dc.identifier.citation Chandramouli, Preethi, Rogelio A. Hernandez-Lopez, Hong-Wei Wang, and Andres E. Leschziner. 2011. Validation of the orthogonal tilt reconstruction method with a biological test sample. Journal of Structural Biology 175(1): 85-96. en_US
dc.identifier.issn 1047-8477 en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:8893763
dc.description.abstract Electron microscopy of frozen-hydrated samples (cryo-EM) can yield high resolution structures of macromolecular complexes by accurately determining the orientation of large numbers of experimental views of the sample relative to an existing 3D model. The “initial model problem”, the challenge of obtaining these orientations ab initio, remains a major bottleneck in determining the structure of novel macromolecules, chiefly those lacking internal symmetry. We previously proposed a method for the generation of initial models – orthogonal tilt reconstruction (OTR) – that bypasses limitations inherent to the other two existing methods, random conical tilt (RCT) and angular reconstitution (AR). Here we present a validation of OTR with a biological test sample whose structure was previously solved by RCT: the complex between the yeast exosome and the subunit Rrp44. We show that, as originally demonstrated with synthetic data, OTR generates initial models that do not exhibit the “missing cone” artifacts associated with RCT and show an isotropic distribution of information when compared with the known structure. This eliminates the need for further user intervention to solve these artifacts and makes OTR ideal for automation and the analysis of heterogeneous samples. With the former in mind, we propose a set of simple quantitative criteria that can be used, in combination, to select from a large set of initial reconstructions a subset that can be used as reliable references for refinement to higher resolution. en_US
dc.description.sponsorship Molecular and Cellular Biology en_US
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.relation.isversionof doi:10.1016/j.jsb.2011.04.012 en_US
dc.relation.hasversion http://labs.mcb.harvard.edu/Leschziner/pdfs/chandramouli_jsb_2011.pdf en_US
dc.relation.hasversion http://www.mcb.harvard.edu/leschziner/pdfs/chandramouli_jsb_2011.pdf en_US
dash.license OAP
dc.subject electron microscopy en_US
dc.subject random conical tilt en_US
dc.subject orthogonal tilt reconstruction en_US
dc.subject initial model en_US
dc.subject missing cone en_US
dc.subject single particle en_US
dc.title Validation of the Orthogonal Tilt Reconstruction Method with a Biological Test Sample en_US
dc.type Journal Article en_US
dc.description.version Accepted Manuscript en_US
dc.relation.journal Journal of Structural Biology en_US
dash.depositing.author Leschziner, Andres
dc.date.available 2012-06-19T13:40:03Z

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  • FAS Scholarly Articles [7106]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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