Web server for tilt-pair validation of single particle maps from electron cryomicroscopy.

Three-dimensional structures of biological assemblies may be calculated from images of single particles obtained by electron cryomicroscopy. A key step is the correct determination of the orientation of the particle in individual image projections. A useful tool for validation of the quality of a 3D map and its consistency with images is tilt-pair analysis. In a successful tilt-pair test, the relative angle between orientations assigned to each image of a tilt-pair agrees with the known relative rotation angle of the microscope specimen holder during the experiment. To make the procedure easy to apply to the increasing number of single particle maps, we have developed software and a web server for tilt-pair analysis. The tilt-pair analysis program reports the overall agreement of the assigned orientations with the known tilt angle and axis of the experiment and the distribution of tilt transformations for individual particles recorded in a single image field. We illustrate application of the validation tool to several single particle specimens and describe how to interpret the scores.

[1]  A Leith,et al.  SPIDER and WEB: processing and visualization of images in 3D electron microscopy and related fields. , 1996, Journal of structural biology.

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

[3]  F. Sigworth A maximum-likelihood approach to single-particle image refinement. , 1998, Journal of structural biology.

[4]  R. Crowther,et al.  Comparison of the Structures of Three Circoviruses:Chicken Anemia Virus, PorcineCircovirus Type 2, and Beakand Feather DiseaseVirus , 2003, Journal of Virology.

[5]  Mónica Chagoyen,et al.  Common conventions for interchange and archiving of three-dimensional electron microscopy information in structural biology. , 2005, Journal of structural biology.

[6]  E. Orlova,et al.  Structural Analysis of Macromolecular Assemblies by Electron Microscopy , 2011, Chemical reviews.

[7]  Joachim Frank,et al.  An approach to examining model dependence in EM reconstructions using cross-validation. , 2003, Journal of structural biology.

[8]  Shaoxia Chen,et al.  Prevention of overfitting in cryo-EM structure determination , 2012, Nature Methods.

[9]  R. Henderson The potential and limitations of neutrons, electrons and X-rays for atomic resolution microscopy of unstained biological molecules , 1995, Quarterly Reviews of Biophysics.

[10]  John L Rubinstein,et al.  The resolution dependence of optimal exposures in liquid nitrogen temperature electron cryomicroscopy of catalase crystals. , 2010, Journal of structural biology.

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

[12]  Sjors H W Scheres,et al.  Classification of structural heterogeneity by maximum-likelihood methods. , 2010, Methods in enzymology.

[13]  W. Chiu,et al.  Validation of cryo-EM structure of IP₃R1 channel. , 2013, Structure.

[14]  M. Baker,et al.  Outcome of the First Electron Microscopy Validation Task Force Meeting , 2012, Structure.

[15]  Peter J Lewis,et al.  Molecular Architecture of the "Stressosome," a Signal Integration and Transduction Hub , 2008, Science.

[16]  R. Henderson,et al.  Optimal determination of particle orientation, absolute hand, and contrast loss in single-particle electron cryomicroscopy. , 2003, Journal of molecular biology.

[17]  Nikolaus Grigorieff,et al.  Near-atomic resolution reconstructions of icosahedral viruses from electron cryo-microscopy. , 2011, Current opinion in structural biology.

[18]  A. Cheng,et al.  Beam-induced motion of vitrified specimen on holey carbon film. , 2012, Journal of structural biology.

[19]  J M Carazo,et al.  XMIPP: a new generation of an open-source image processing package for electron microscopy. , 2004, Journal of structural biology.

[20]  R. Freeman,et al.  Methods for specimen thickness determination in electron microscopy. , 1984, Ultramicroscopy.

[21]  R. Henderson,et al.  High-resolution noise substitution to measure overfitting and validate resolution in 3D structure determination by single particle electron cryomicroscopy☆ , 2013, Ultramicroscopy.

[22]  J. Frank Three-Dimensional Electron Microscopy of Macromolecular Assemblies , 2006 .

[23]  P. Rosenthal,et al.  Automatic magnification determination of electron cryomicroscopy images using apoferritin as a standard. , 2012, Journal of structural biology.

[24]  Richard Henderson,et al.  Tilt-Pair Analysis of Images from a Range of Different Specimens in Single-Particle Electron Cryomicroscopy , 2011, Journal of molecular biology.

[25]  R. Henderson,et al.  Problems in obtaining perfect images by single-particle electron cryomicroscopy of biological structures in amorphous ice. , 2013, Microscopy.

[26]  D. Mastronarde,et al.  Data management challenges in three-dimensional EM , 2012, Nature Structural &Molecular Biology.

[27]  N. Grigorieff,et al.  Noise bias in the refinement of structures derived from single particles. , 2004, Ultramicroscopy.

[28]  S. Scheres,et al.  Ribosome structures to near-atomic resolution from thirty thousand cryo-EM particles , 2013, eLife.

[29]  N Grigorieff,et al.  Three-dimensional structure of bovine NADH:ubiquinone oxidoreductase (complex I) at 22 A in ice. , 1998, Journal of molecular biology.

[30]  Dmitry Lyumkis,et al.  Likelihood-based classification of cryo-EM images using FREALIGN. , 2013, Journal of structural biology.