A new cryo-EM system for electron 3D crystallography by eEFD

被引:35
|
作者
Yonekura, Koji [1 ,2 ]
Ishikawa, Tetsuya [3 ]
Maki-Yonekura, Saori [1 ]
机构
[1] RIKEN, SPring 8 Ctr, Biostruct Mech Lab, 1-1-1 Kouto, Sayo, Hyogo 6795148, Japan
[2] RIKEN Baton Zone Program, RIKEN JEOL Collaborat Ctr, Adv Electron Microscope Dev Unit, 1-1-1 Kouto, Sayo, Hyogo 6795148, Japan
[3] RIKEN SPring 8 Ctr, 1-1-1 Kouto, Sayo, Hyogo 6795148, Japan
基金
日本科学技术振兴机构; 日本学术振兴会;
关键词
Electron 3D crystallography; eEFD; Energy filter; ParallEM; CRYO ARM; PROTEIN CRYSTALS; DIFFRACTION; SINGLE; BACTERIORHODOPSIN; REFINEMENT; MODEL;
D O I
10.1016/j.jsb.2019.03.009
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A new cryo-EM system has been developed and investigated for use in protein electron 3D crystallography. The system provides parallel illumination of a coherent 300 kV electron beam to a sample, filters out energy-loss electrons through the sample with an in-column energy filter, and allows rotational data collection on a fast camera. It also possesses motorized cryo-sample loading and automated liquid-nitrogen filling for cooling of multiple samples. To facilitate its use, we developed GUI programs for efficient operation and accurate structure analysis. Here we report on the performance of the system and first results for thin 3D crystals of the protein complexes, catalase and membrane protein complex ExbBD. Data quality is remarkably improved with this approach, which we name eEFD (electron energy-filtered diffraction of 3D crystals), compared with those collected at 200 kV without energy filtration. Key advances include precise control of the microscope and recordings of lens fluctuations, which the programs process and respond to. We also discuss the merits of higher-energy electrons and filtration of energy-loss electrons in electron 3D crystallography.
引用
收藏
页码:243 / 253
页数:11
相关论文
共 50 条
  • [1] Surface-Constrained 3D Reconstruction in Cryo-EM
    Barthel, Andrew C.
    Tagare, Hemant
    Sigworth, Fred J.
    2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR), 2011, : 1026 - 1030
  • [2] Crystallography and cryo-EM - not always crystal clear
    Wlodawer, A.
    FEBS OPEN BIO, 2018, 8 : 68 - 68
  • [3] Cryo-EM Workshop: Lectures on Cryo-EM Image Formation and 3-D Reconstruction
    Jiang, Wen
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2019, 75 : A256 - A256
  • [4] Cryo-EM structure of a 3D DNA-origami object
    Bai, Xiao-chen
    Martin, Thomas G.
    Scheres, Sjors H. W.
    Dietz, Hendrik
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2012, 109 (49) : 20012 - 20017
  • [5] Optimal 3D angular sampling with applications to cryo-EM problems
    Titarenko, Valeriy
    Roseman, Alan M.
    JOURNAL OF STRUCTURAL BIOLOGY, 2024, 216 (02)
  • [6] 3D AB INITIO MODELING IN CRYO-EM BY AUTOCORRELATION ANALYSIS
    Levin, Eitan
    Bendory, Tamir
    Boumal, Nicolas
    Kileel, Joe
    Singer, Amit
    2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), 2018, : 1569 - 1573
  • [7] The 3D structure of a Mononegavirales polymerase is finally resolved: victory (score 1-2) of the cryo-EM on the crystallography
    Gerlier, Denis
    VIROLOGIE, 2015, 19 (06) : 263 - 264
  • [8] Experience of Parallelizing cryo-EM 3D Reconstruction on a CPU-GPU Heterogeneous System
    Li, Linchuan
    Li, Xingjian
    Tan, Guangming
    Chen, Mingyu
    Zhang, Peiheng
    HPDC 11: PROCEEDINGS OF THE 20TH INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE DISTRIBUTED COMPUTING, 2011, : 195 - 204
  • [9] Cryo-EM in the age of X-ray crystallography
    Wolf, Matthias
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2017, 73 : C783 - C783
  • [10] A Method for Generation of Synthetic 2D and 3D Cryo-EM Images
    N. A. Anoshina
    T. B. Sagindykov
    D. V. Sorokin
    Programming and Computer Software, 2018, 44 : 240 - 247