scholarly journals High Throughput Cryo-Electron Tomography: Towards Molecular Architecture of Spirochetal Flagellar Motor in situ

2010 ◽  
Vol 16 (S2) ◽  
pp. 1070-1071
Author(s):  
J Liu ◽  
S Norris
Keyword(s):  
High Throughput ◽  
Electron Tomography ◽  
Flagellar Motor ◽  
Molecular Architecture ◽  
Cryo Electron Tomography

Extended abstract of a paper presented at Microscopy and Microanalysis 2010 in Portland, Oregon, USA, August 1 – August 5, 2010.

scholarly journals Structural insights into flagellar stator–rotor interactions

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Yunjie Chang ◽  
Ki Hwan Moon ◽  
Xiaowei Zhao ◽  
Steven J Norris ◽  
MD A Motaleb ◽  
...  
Keyword(s):  
Conformational Change ◽  
High Speed ◽  
Electron Tomography ◽  
Deletion Mutants ◽  
Flagellar Motor ◽  
Wild Type ◽  
Cryo Electron Tomography ◽  
Flagellar Filament ◽  
Structural Insights

The bacterial flagellar motor is a molecular machine that can rotate the flagellar filament at high speed. The rotation is generated by the stator–rotor interaction, coupled with an ion flux through the torque-generating stator. Here we employed cryo-electron tomography to visualize the intact flagellar motor in the Lyme disease spirochete, Borrelia burgdorferi. By analyzing the motor structures of wild-type and stator-deletion mutants, we not only localized the stator complex in situ, but also revealed the stator–rotor interaction at an unprecedented detail. Importantly, the stator–rotor interaction induces a conformational change in the flagella C-ring. Given our observation that a non-motile mutant, in which proton flux is blocked, cannot generate the similar conformational change, we propose that the proton-driven torque is responsible for the conformational change required for flagellar rotation.

scholarly journals Intact Flagellar Motor of Borrelia burgdorferi Revealed by Cryo-Electron Tomography: Evidence for Stator Ring Curvature and Rotor/C-Ring Assembly Flexion

2009 ◽  
Vol 191 (16) ◽  
pp. 5026-5036 ◽  
Author(s):  
Jun Liu ◽  
Tao Lin ◽  
Douglas J. Botkin ◽  
Erin McCrum ◽  
Hanspeter Winkler ◽  
...  
Keyword(s):  
Borrelia Burgdorferi ◽  
Electron Tomography ◽  
Rotational Symmetry ◽  
Flagellar Motor ◽  
Cell Axis ◽  
Ring Assembly ◽  
Flagellar Motors ◽  
Cryo Electron Tomography ◽  
Flagellar Rotation

ABSTRACT The bacterial flagellar motor is a remarkable nanomachine that provides motility through flagellar rotation. Prior structural studies have revealed the stunning complexity of the purified rotor and C-ring assemblies from flagellar motors. In this study, we used high-throughput cryo-electron tomography and image analysis of intact Borrelia burgdorferi to produce a three-dimensional (3-D) model of the in situ flagellar motor without imposing rotational symmetry. Structural details of B. burgdorferi, including a layer of outer surface proteins, were clearly visible in the resulting 3-D reconstructions. By averaging the 3-D images of ∼1,280 flagellar motors, a ∼3.5-nm-resolution model of the stator and rotor structures was obtained. flgI transposon mutants lacked a torus-shaped structure attached to the flagellar rod, establishing the structural location of the spirochetal P ring. Treatment of intact organisms with the nonionic detergent NP-40 resulted in dissolution of the outermost portion of the motor structure and the C ring, providing insight into the in situ arrangement of the stator and rotor structures. Structural elements associated with the stator followed the curvature of the cytoplasmic membrane. The rotor and the C ring also exhibited angular flexion, resulting in a slight narrowing of both structures in the direction perpendicular to the cell axis. These results indicate an inherent flexibility in the rotor-stator interaction. The FliG switching and energizing component likely provides much of the flexibility needed to maintain the interaction between the curved stator and the relatively symmetrical rotor/C-ring assembly during flagellar rotation.

scholarly journals Molecular architecture of inner dynein arms in situ in Chlamydomonas reinhardtii flagella

2008 ◽  
Vol 183 (5) ◽  
pp. 923-932 ◽  
Author(s):  
Khanh Huy Bui ◽  
Hitoshi Sakakibara ◽  
Tandis Movassagh ◽  
Kazuhiro Oiwa ◽  
Takashi Ishikawa
Keyword(s):  
Chlamydomonas Reinhardtii ◽  
Electron Tomography ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Molecular Architecture ◽  
Heavy Chains ◽  
Distal Side ◽  
Cryo Electron Tomography ◽  
Dynein Arms

The inner dynein arm regulates axonemal bending motion in eukaryotes. We used cryo-electron tomography to reconstruct the three-dimensional structure of inner dynein arms from Chlamydomonas reinhardtii. All the eight different heavy chains were identified in one 96-nm periodic repeat, as expected from previous biochemical studies. Based on mutants, we identified the positions of the AAA rings and the N-terminal tails of all the eight heavy chains. The dynein f dimer is located close to the surface of the A-microtubule, whereas the other six heavy chain rings are roughly colinear at a larger distance to form three dyads. Each dyad consists of two heavy chains and has a corresponding radial spoke or a similar feature. In each of the six heavy chains (dynein a, b, c, d, e, and g), the N-terminal tail extends from the distal side of the ring. To interact with the B-microtubule through stalks, the inner-arm dyneins must have either different handedness or, more probably, the opposite orientation of the AAA rings compared with the outer-arm dyneins.

scholarly journals DISCA: high-throughput cryo-ET structural pattern mining by deep unsupervised clustering

2021 ◽  
Author(s):  
Xiangrui Zeng ◽  
Anson Kahng ◽  
Liang Xue ◽  
Julia Mahamid ◽  
Yi-Wei Chang ◽  
...  
Keyword(s):  
High Throughput ◽  
Pattern Mining ◽  
Electron Tomography ◽  
Structural Features ◽  
Computer Assisted ◽  
Label Free ◽  
Structural Pattern ◽  
Cryo Electron Tomography ◽  
Homogeneous Structures

Cryo-electron tomography directly visualizes heterogeneous macromolecular structures in complex cellular environments, but existing computer-assisted sorting approaches are low-throughput or inherently limited due to their dependency on available templates and manual labels. We introduce a high-throughput template-and-label-free deep learning approach that automatically discovers subsets of homogeneous structures by learning and modeling 3D structural features and their distributions. Diverse structures emerging from sorted subsets enable systematic unbiased recognition of macromolecular complexes in situ.

scholarly journals In situ architecture of neuronal α-Synuclein inclusions

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Victoria A. Trinkaus ◽  
Irene Riera-Tur ◽  
Antonio Martínez-Sánchez ◽  
Felix J. B. Bäuerlein ◽  
Qiang Guo ◽  
...  
Keyword(s):  
Detailed Analysis ◽  
Neurodegenerative Disorders ◽  
Electron Tomography ◽  
Cellular Interaction ◽  
Molecular Architecture ◽  
Membrane Interactions ◽  
Intracellular Membranes ◽  
Cryo Electron Tomography ◽  
Cellular Organelles

AbstractThe molecular architecture of α-Synuclein (α-Syn) inclusions, pathognomonic of various neurodegenerative disorders, remains unclear. α-Syn inclusions were long thought to consist mainly of α-Syn fibrils, but recent reports pointed to intracellular membranes as the major inclusion component. Here, we use cryo-electron tomography (cryo-ET) to image neuronal α-Syn inclusions in situ at molecular resolution. We show that inclusions seeded by α-Syn aggregates produced recombinantly or purified from patient brain consist of α-Syn fibrils crisscrossing a variety of cellular organelles. Using gold-labeled seeds, we find that aggregate seeding is predominantly mediated by small α-Syn fibrils, from which cytoplasmic fibrils grow unidirectionally. Detailed analysis of membrane interactions revealed that α-Syn fibrils do not contact membranes directly, and that α-Syn does not drive membrane clustering. Altogether, we conclusively demonstrate that neuronal α-Syn inclusions consist of α-Syn fibrils intermixed with membranous organelles, and illuminate the mechanism of aggregate seeding and cellular interaction.

Cryo electron tomography of vitrified fibroblasts: Microtubule plus ends in situ

2008 ◽  
Vol 161 (3) ◽  
pp. 459-468 ◽  
Author(s):  
Roman I. Koning ◽  
Sandra Zovko ◽  
Montserrat Bárcena ◽  
Gert T. Oostergetel ◽  
Henk K. Koerten ◽  
...  
Keyword(s):  
Electron Tomography ◽  
Cryo Electron Tomography

scholarly journals A guided approach for subtomogram averaging of challenging macromolecular assemblies

2020 ◽  
Author(s):  
Danielle Grotjahn ◽  
Saikat Chowdhury ◽  
Gabriel C. Lander
Keyword(s):  
Electron Tomography ◽  
A Priori ◽  
Three Dimensional ◽  
Structural Heterogeneity ◽  
Dimensional Structure ◽  
Diverse Range ◽  
Macromolecular Assemblies ◽  
Cryo Electron Tomography ◽  
Subtomogram Averaging

AbstractCryo-electron tomography is a powerful biophysical technique enabling three-dimensional visualization of complex biological systems. Macromolecular targets of interest identified within cryo-tomograms can be computationally extracted, aligned, and averaged to produce a better-resolved structure through a process called subtomogram averaging (STA). However, accurate alignment of macromolecular machines that exhibit extreme structural heterogeneity and conformational flexibility remains a significant challenge with conventional STA approaches. To expand the applicability of STA to a broader range of pleomorphic complexes, we developed a user-guided, focused refinement approach that can be incorporated into the standard STA workflow to facilitate the robust alignment of particularly challenging samples. We demonstrate that it is possible to align visually recognizable portions of multi-subunit complexes by providing a priori information regarding their relative orientations within cryo-tomograms, and describe how this strategy was applied to successfully elucidate the first three-dimensional structure of the dynein-dynactin motor protein complex bound to microtubules. Our approach expands the application of STA for solving a more diverse range of heterogeneous biological structures, and establishes a conceptual framework for the development of automated strategies to deconvolve the complexity of crowded cellular environments and improve in situ structure determination technologies.

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