Literature DB >> 21490573

Single particle electron microscopy reconstruction of the exosome complex using the random conical tilt method.

Xueqi Liu1, Hong-Wei Wang.   

Abstract

Single particle electron microscopy (EM) reconstruction has recently become a popular tool to get the three-dimensional (3D) structure of large macromolecular complexes. Compared to X-ray crystallography, it has some unique advantages. First, single particle EM reconstruction does not need to crystallize the protein sample, which is the bottleneck in X-ray crystallography, especially for large macromolecular complexes. Secondly, it does not need large amounts of protein samples. Compared with milligrams of proteins necessary for crystallization, single particle EM reconstruction only needs several micro-liters of protein solution at nano-molar concentrations, using the negative staining EM method. However, despite a few macromolecular assemblies with high symmetry, single particle EM is limited at relatively low resolution (lower than 1 nm resolution) for many specimens especially those without symmetry. This technique is also limited by the size of the molecules under study, i.e. 100 kDa for negatively stained specimens and 300 kDa for frozen-hydrated specimens in general. For a new sample of unknown structure, we generally use a heavy metal solution to embed the molecules by negative staining. The specimen is then examined in a transmission electron microscope to take two-dimensional (2D) micrographs of the molecules. Ideally, the protein molecules have a homogeneous 3D structure but exhibit different orientations in the micrographs. These micrographs are digitized and processed in computers as "single particles". Using two-dimensional alignment and classification techniques, homogenous molecules in the same views are clustered into classes. Their averages enhance the signal of the molecule's 2D shapes. After we assign the particles with the proper relative orientation (Euler angles), we will be able to reconstruct the 2D particle images into a 3D virtual volume. In single particle 3D reconstruction, an essential step is to correctly assign the proper orientation of each single particle. There are several methods to assign the view for each particle, including the angular reconstitution(1) and random conical tilt (RCT) method(2). In this protocol, we describe our practice in getting the 3D reconstruction of yeast exosome complex using negative staining EM and RCT. It should be noted that our protocol of electron microscopy and image processing follows the basic principle of RCT but is not the only way to perform the method. We first describe how to embed the protein sample into a layer of Uranyl-Formate with a thickness comparable to the protein size, using a holey carbon grid covered with a layer of continuous thin carbon film. Then the specimen is inserted into a transmission electron microscope to collect untilted (0-degree) and tilted (55-degree) pairs of micrographs that will be used later for processing and obtaining an initial 3D model of the yeast exosome. To this end, we perform RCT and then refine the initial 3D model by using the projection matching refinement method(3).

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Mesh:

Year:  2011        PMID: 21490573      PMCID: PMC3197315          DOI: 10.3791/2574

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  12 in total

1.  EMAN: semiautomated software for high-resolution single-particle reconstructions.

Authors:  S J Ludtke; P R Baldwin; W Chiu
Journal:  J Struct Biol       Date:  1999-12-01       Impact factor: 2.867

2.  Angular reconstitution: a posteriori assignment of projection directions for 3D reconstruction.

Authors:  M Van Heel
Journal:  Ultramicroscopy       Date:  1987       Impact factor: 2.689

3.  UCSF Chimera--a visualization system for exploratory research and analysis.

Authors:  Eric F Pettersen; Thomas D Goddard; Conrad C Huang; Gregory S Couch; Daniel M Greenblatt; Elaine C Meng; Thomas E Ferrin
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

4.  Automation of random conical tilt and orthogonal tilt data collection using feature-based correlation.

Authors:  Craig Yoshioka; James Pulokas; Denis Fellmann; Clinton S Potter; Ronald A Milligan; Bridget Carragher
Journal:  J Struct Biol       Date:  2007-04-20       Impact factor: 2.867

5.  Architecture of the yeast Rrp44 exosome complex suggests routes of RNA recruitment for 3' end processing.

Authors:  Hong-Wei Wang; Jianjun Wang; Fang Ding; Kevin Callahan; Matthew A Bratkowski; J Scott Butler; Eva Nogales; Ailong Ke
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-17       Impact factor: 11.205

6.  SPIDER image processing for single-particle reconstruction of biological macromolecules from electron micrographs.

Authors:  Tanvir R Shaikh; Haixiao Gao; William T Baxter; Francisco J Asturias; Nicolas Boisset; Ardean Leith; Joachim Frank
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

7.  Image processing for electron microscopy single-particle analysis using XMIPP.

Authors:  Sjors H W Scheres; Rafael Núñez-Ramírez; Carlos O S Sorzano; José María Carazo; Roberto Marabini
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

Review 8.  Three-dimensional reconstruction of single particles from random and nonrandom tilt series.

Authors:  M Radermacher
Journal:  J Electron Microsc Tech       Date:  1988-08

9.  The ribosome at improved resolution: new techniques for merging and orientation refinement in 3D cryo-electron microscopy of biological particles.

Authors:  P A Penczek; R A Grassucci; J Frank
Journal:  Ultramicroscopy       Date:  1994-03       Impact factor: 2.689

10.  Negative Staining and Image Classification - Powerful Tools in Modern Electron Microscopy.

Authors:  Melanie Ohi; Ying Li; Yifan Cheng; Thomas Walz
Journal:  Biol Proced Online       Date:  2004-03-19       Impact factor: 3.244

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  15 in total

1.  Architecture of the Rix1-Rea1 checkpoint machinery during pre-60S-ribosome remodeling.

Authors:  Clara Barrio-Garcia; Matthias Thoms; Dirk Flemming; Lukas Kater; Otto Berninghausen; Jochen Baßler; Roland Beckmann; Ed Hurt
Journal:  Nat Struct Mol Biol       Date:  2015-11-30       Impact factor: 15.369

2.  Microencapsulation technology by nature: Cell derived extracellular vesicles with therapeutic potential.

Authors:  A Kittel; A Falus; E Buzás
Journal:  Eur J Microbiol Immunol (Bp)       Date:  2013-06-05

3.  CryoEM structure of yeast cytoplasmic exosome complex.

Authors:  Jun-Jie Liu; Chu-Ya Niu; Yao Wu; Dan Tan; Yang Wang; Ming-Da Ye; Yang Liu; Wenwei Zhao; Ke Zhou; Quan-Sheng Liu; Junbiao Dai; Xuerui Yang; Meng-Qiu Dong; Niu Huang; Hong-Wei Wang
Journal:  Cell Res       Date:  2016-05-13       Impact factor: 25.617

4.  Sample Preparation and Imaging of Exosomes by Transmission Electron Microscopy.

Authors:  Min Kyo Jung; Ji Young Mun
Journal:  J Vis Exp       Date:  2018-01-04       Impact factor: 1.355

5.  Cas5d protein processes pre-crRNA and assembles into a cascade-like interference complex in subtype I-C/Dvulg CRISPR-Cas system.

Authors:  Ki Hyun Nam; Charles Haitjema; Xueqi Liu; Fran Ding; Hongwei Wang; Matthew P DeLisa; Ailong Ke
Journal:  Structure       Date:  2012-07-26       Impact factor: 5.006

6.  Secondary Release of Exosomes From Astrocytes Contributes to the Increase in Neural Plasticity and Improvement of Functional Recovery After Stroke in Rats Treated With Exosomes Harvested From MicroRNA 133b-Overexpressing Multipotent Mesenchymal Stromal Cells.

Authors:  Hongqi Xin; Fengjie Wang; Yanfeng Li; Qing-E Lu; Wing Lee Cheung; Yi Zhang; Zheng Gang Zhang; Michael Chopp
Journal:  Cell Transplant       Date:  2016-09-26       Impact factor: 4.064

7.  MiR-133b promotes neural plasticity and functional recovery after treatment of stroke with multipotent mesenchymal stromal cells in rats via transfer of exosome-enriched extracellular particles.

Authors:  Hongqi Xin; Yi Li; Zhongwu Liu; Xinli Wang; Xia Shang; Yisheng Cui; Zheng Gang Zhang; Michael Chopp
Journal:  Stem Cells       Date:  2013-12       Impact factor: 6.277

8.  Alternative methods for characterization of extracellular vesicles.

Authors:  Fatemeh Momen-Heravi; Leonora Balaj; Sara Alian; John Tigges; Vasilis Toxavidis; Maria Ericsson; Robert J Distel; Alexander R Ivanov; Johan Skog; Winston Patrick Kuo
Journal:  Front Physiol       Date:  2012-09-07       Impact factor: 4.566

9.  Structural Characterization of the Chaetomium thermophilum TREX-2 Complex and its Interaction with the mRNA Nuclear Export Factor Mex67:Mtr2.

Authors:  Lyudmila Dimitrova; Eugene Valkov; Shintaro Aibara; Dirk Flemming; Stephen H McLaughlin; Ed Hurt; Murray Stewart
Journal:  Structure       Date:  2015-06-04       Impact factor: 5.006

10.  Visualization of distinct substrate-recruitment pathways in the yeast exosome by EM.

Authors:  Jun-Jie Liu; Matthew A Bratkowski; Xueqi Liu; Chu-Ya Niu; Ailong Ke; Hong-Wei Wang
Journal:  Nat Struct Mol Biol       Date:  2013-12-15       Impact factor: 15.369

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