Cryo-EM of macromolecular assemblies at near-atomic resolution

With single-particle electron cryomicroscopy (cryo-EM), it is possible to visualize large, macromolecular assemblies in near-native states. Although subnanometer resolutions have been routinely achieved for many specimens, state of the art cryo-EM has pushed to near-atomic (3.3–4.6 Å) resolutions. At these resolutions, it is now possible to construct reliable atomic models directly from the cryo-EM density map. In this study, we describe our recently developed protocols for performing the three-dimensional reconstruction and modeling of Mm-cpn, a group II chaperonin, determined to 4.3 Å resolution. This protocol, utilizing the software tools EMAN, Gorgon and Coot, can be adapted for use with nearly all specimens imaged with cryo-EM that target beyond 5 Å resolution. Additionally, the feature recognition and computational modeling tools can be applied to any near-atomic resolution density maps, including those from X-ray crystallography.

[1]  Y. Komatsu,et al.  Antigen structural requirements for recognition by a cyclobutane thymine dimer-specific monoclonal antibody. , 1997, Nucleic acids research.

[2]  Dong-Hua Chen,et al.  De novo backbone trace of GroEL from single particle electron cryomicroscopy. , 2008, Structure.

[3]  B. Rost PHD: predicting one-dimensional protein structure by profile-based neural networks. , 1996, Methods in enzymology.

[4]  B. Honig,et al.  Building and refining protein models within cryo-electron microscopy density maps based on homology modeling and multiscale structure refinement. , 2010, Journal of molecular biology.

[5]  Matthew L. Baker,et al.  Backbone structure of the infectious Epsilon15 virus capsid revealed by electron cryomicroscopy , 2008 .

[6]  Masafumi Yohda,et al.  Crystal structures of the group II chaperonin from Thermococcus strain KS-1: steric hindrance by the substituted amino acid, and inter-subunit rearrangement between two crystal forms. , 2004, Journal of molecular biology.

[7]  Conrad C. Huang,et al.  UCSF Chimera—A visualization system for exploratory research and analysis , 2004, J. Comput. Chem..

[8]  M. Baker,et al.  Identification of secondary structure elements in intermediate-resolution density maps. , 2007, Structure.

[9]  Z. Zhou,et al.  3.88 Å structure of cytoplasmic polyhedrosis virus by cryo-electron microscopy , 2008, Nature.

[10]  Liam J. McGuffin,et al.  The PSIPRED protein structure prediction server , 2000, Bioinform..

[11]  M van Heel,et al.  A new generation of the IMAGIC image processing system. , 1996, Journal of structural biology.

[12]  Kevin Cowtan,et al.  research papers Acta Crystallographica Section D Biological , 2005 .

[13]  Barry Honig,et al.  Backbone model of an aquareovirus virion by cryo-electron microscopy and bioinformatics. , 2010, Journal of molecular biology.

[14]  Dmitrij Frishman,et al.  Prediction of beta-turns and beta-turn types by a novel bidirectional Elman-type recurrent neural network with multiple output layers (MOLEBRNN). , 2008, Gene.

[15]  Matthew L. Baker,et al.  Backbone structure of the infectious ε15 virus capsid revealed by electron cryomicroscopy , 2008, Nature.

[16]  M. Baker,et al.  Electron cryomicroscopy of biological machines at subnanometer resolution. , 2005, Structure.

[17]  M. Baker,et al.  Bridging the information gap: computational tools for intermediate resolution structure interpretation. , 2001, Journal of molecular biology.

[18]  F. Quiocho,et al.  Architecture of the herpes simplex virus major capsid protein derived from structural bioinformatics. , 2003, Journal of molecular biology.

[19]  Christopher R Booth,et al.  Methods for aligning and for averaging 3D volumes with missing data. , 2008, Journal of structural biology.

[20]  J. Frank,et al.  SPIDER image processing for single-particle reconstruction of biological macromolecules from electron micrographs , 2008, Nature Protocols.

[21]  W Chiu,et al.  Fourier amplitude decay of electron cryomicroscopic images of single particles and effects on structure determination. , 2001, Journal of structural biology.

[22]  W Chiu,et al.  EMAN: semiautomated software for high-resolution single-particle reconstructions. , 1999, Journal of structural biology.

[23]  Dong-Hua Chen,et al.  Estimating contrast transfer function and associated parameters by constrained non‐linear optimization , 2009, Journal of microscopy.

[24]  W. Chiu,et al.  Averaging tens to hundreds of icosahedral particle images to resolve protein secondary structure elements using a Multi-Path Simulated Annealing optimization algorithm. , 2007, Journal of structural biology.

[25]  M. Heel,et al.  Angular reconstitution: a posteriori assignment of projection directions for 3D reconstruction. , 1987 .

[26]  Matthew L. Baker,et al.  Structural Changes in a Marine Podovirus Associated with Release of its Genome into Prochlorococcus , 2010, Nature Structural &Molecular Biology.

[27]  M. Radermacher,et al.  Three-dimensional reconstruction of single particles from random and nonrandom tilt series. , 1988, Journal of electron microscopy technique.

[28]  W. Chiu,et al.  A 11.5 A single particle reconstruction of GroEL using EMAN. , 2001, Journal of molecular biology.

[29]  Nikolaus Grigorieff,et al.  FREALIGN: high-resolution refinement of single particle structures. , 2007, Journal of structural biology.

[30]  Torsten Schwede,et al.  BIOINFORMATICS Bioinformatics Advance Access published November 12, 2005 The SWISS-MODEL Workspace: A web-based environment for protein structure homology modelling , 2022 .

[31]  Pierre Tufféry,et al.  SABBAC: online Structural Alphabet-based protein BackBone reconstruction from Alpha-Carbon trace , 2006, Nucleic Acids Res..

[32]  Wah Chiu,et al.  Mechanism of lid closure in the eukaryotic chaperonin TRiC/CCT , 2008, Nature Structural &Molecular Biology.

[33]  Wah Chiu,et al.  4.0-Å resolution cryo-EM structure of the mammalian chaperonin TRiC/CCT reveals its unique subunit arrangement , 2010, Proceedings of the National Academy of Sciences.

[34]  S. Harrison,et al.  Near-atomic resolution using electron cryomicroscopy and single-particle reconstruction , 2008, Proceedings of the National Academy of Sciences.

[35]  S. Harrison,et al.  Molecular interactions in rotavirus assembly and uncoating seen by high-resolution cryo-EM , 2009, Proceedings of the National Academy of Sciences.

[36]  Wen Jiang,et al.  EMAN2: an extensible image processing suite for electron microscopy. , 2007, Journal of structural biology.

[37]  Christian Cole,et al.  The Jpred 3 secondary structure prediction server , 2008, Nucleic Acids Res..

[38]  Pierre Baldi,et al.  Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles , 2002, Proteins.

[39]  N. Grigorieff,et al.  High-resolution electron microscopy of helical specimens: a fresh look at tobacco mosaic virus. , 2007, Journal of molecular biology.

[40]  M. Levitt,et al.  Mechanism of Folding Chamber Closure in a Group II Chaperonin , 2010, Nature.

[41]  Matthew L. Baker,et al.  Shape modeling and matching in identifying 3D protein structures , 2008, Comput. Aided Des..

[42]  Y. Fujiyoshi,et al.  Structure and gating mechanism of the acetylcholine receptor pore , 2003, Nature.

[43]  Wah Chiu,et al.  The pore structure of the closed RyR1 channel. , 2005, Structure.