1
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Coray R, Navarro P, Scaramuzza S, Stahlberg H, Castaño-Díez D. Automated fiducial-based alignment of cryo-electron tomography tilt series in Dynamo. Structure 2024; 32:1808-1819.e4. [PMID: 39079528 DOI: 10.1016/j.str.2024.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 06/06/2024] [Accepted: 07/03/2024] [Indexed: 10/06/2024]
Abstract
With the advent of modern technologies for cryo-electron tomography (cryo-ET), high-quality tilt series are more rapidly acquired than processed and analyzed. Thus, a robust and fast-automated alignment for batch processing in cryo-ET is needed. While different software packages have made available several approaches for automated marker-based alignment of tilt series, manual user intervention remains necessary for many datasets, thus preventing high-throughput tomography. We have developed a MATLAB-based framework integrated into the Dynamo software package for automatic detection of fiducial markers that generates a robust alignment model with minimal input parameters. This approach allows high-throughput, unsupervised volume reconstruction. This new module extends Dynamo with a large repertory of tools for tomographic alignment and reconstruction, as well as specific visualization browsers to rapidly assess the biological relevance of the dataset. Our approach has been successfully tested on a broad range of datasets that include diverse biological samples and cryo-ET modalities.
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Affiliation(s)
- Raffaele Coray
- Instituto Biofisika (Consejo Superior de Investigaciones Científicas, Universidad del País Vasco), University of Basque Country, 48940 Leioa, Spain
| | - Paula Navarro
- Center for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel, Mattenstrasse 26, CH-4058 Basel, Switzerland; Department of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, 1015 Lausanne, Switzerland
| | - Stefano Scaramuzza
- Center for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel, Mattenstrasse 26, CH-4058 Basel, Switzerland
| | - Henning Stahlberg
- Center for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel, Mattenstrasse 26, CH-4058 Basel, Switzerland; Laboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Science, EPFL, and Department of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Daniel Castaño-Díez
- Instituto Biofisika (Consejo Superior de Investigaciones Científicas, Universidad del País Vasco), University of Basque Country, 48940 Leioa, Spain; Center for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel, Mattenstrasse 26, CH-4058 Basel, Switzerland.
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2
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Burt A, Toader B, Warshamanage R, von Kügelgen A, Pyle E, Zivanov J, Kimanius D, Bharat TAM, Scheres SHW. An image processing pipeline for electron cryo-tomography in RELION-5. FEBS Open Bio 2024. [PMID: 39147729 DOI: 10.1002/2211-5463.13873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 06/20/2024] [Accepted: 07/16/2024] [Indexed: 08/17/2024] Open
Abstract
Electron tomography of frozen, hydrated samples allows structure determination of macromolecular complexes that are embedded in complex environments. Provided that the target complexes may be localised in noisy, three-dimensional tomographic reconstructions, averaging images of multiple instances of these molecules can lead to structures with sufficient resolution for de novo atomic modelling. Although many research groups have contributed image processing tools for these tasks, a lack of standardisation and interoperability represents a barrier for newcomers to the field. Here, we present an image processing pipeline for electron tomography data in RELION-5, with functionality ranging from the import of unprocessed movies to the automated building of atomic models in the final maps. Our explicit definition of metadata items that describe the steps of our pipeline has been designed for interoperability with other software tools and provides a framework for further standardisation.
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Affiliation(s)
- Alister Burt
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
- Department of Structural Biology, Genentech, South San Francisco, CA, USA
| | - Bogdan Toader
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | - Rangana Warshamanage
- CCP-EM, Scientific Computing Department, UKRI Science and Technology Facilities Council, Harwell Campus, Didcot, UK
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Euan Pyle
- Institute of Structural and Molecular Biology, Birkbeck College, London, UK
- The Francis Crick Institute, London, UK
| | - Jasenko Zivanov
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | - Dari Kimanius
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | - Tanmay A M Bharat
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | - Sjors H W Scheres
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
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3
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Keller J, Fernández-Busnadiego R. In situ studies of membrane biology by cryo-electron tomography. Curr Opin Cell Biol 2024; 88:102363. [PMID: 38677049 DOI: 10.1016/j.ceb.2024.102363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/26/2024] [Accepted: 04/08/2024] [Indexed: 04/29/2024]
Abstract
Cryo-electron tomography (cryo-ET) allows high resolution 3D imaging of biological samples in near-native environments. Thus, cryo-ET has become the method of choice to analyze the unperturbed organization of cellular membranes. Here, we briefly discuss current cryo-ET workflows and their application to study membrane biology in situ, under basal and pathological conditions.
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Affiliation(s)
- Jenny Keller
- University Medical Center Göttingen, Institute for Neuropathology, Göttingen, 37077, Germany; Collaborative Research Center 1190 "Compartmental Gates and Contact Sites in Cells", University of Göttingen, Göttingen, Germany.
| | - Rubén Fernández-Busnadiego
- University Medical Center Göttingen, Institute for Neuropathology, Göttingen, 37077, Germany; Collaborative Research Center 1190 "Compartmental Gates and Contact Sites in Cells", University of Göttingen, Göttingen, Germany; Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, 37077, Germany; Faculty of Physics, University of Göttingen, Göttingen, 37077, Germany.
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4
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Zhao C, Lu D, Zhao Q, Ren C, Zhang H, Zhai J, Gou J, Zhu S, Zhang Y, Gong X. Computational methods for in situ structural studies with cryogenic electron tomography. Front Cell Infect Microbiol 2023; 13:1135013. [PMID: 37868346 PMCID: PMC10586593 DOI: 10.3389/fcimb.2023.1135013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 08/29/2023] [Indexed: 10/24/2023] Open
Abstract
Cryo-electron tomography (cryo-ET) plays a critical role in imaging microorganisms in situ in terms of further analyzing the working mechanisms of viruses and drug exploitation, among others. A data processing workflow for cryo-ET has been developed to reconstruct three-dimensional density maps and further build atomic models from a tilt series of two-dimensional projections. Low signal-to-noise ratio (SNR) and missing wedge are two major factors that make the reconstruction procedure challenging. Because only few near-atomic resolution structures have been reconstructed in cryo-ET, there is still much room to design new approaches to improve universal reconstruction resolutions. This review summarizes classical mathematical models and deep learning methods among general reconstruction steps. Moreover, we also discuss current limitations and prospects. This review can provide software and methods for each step of the entire procedure from tilt series by cryo-ET to 3D atomic structures. In addition, it can also help more experts in various fields comprehend a recent research trend in cryo-ET. Furthermore, we hope that more researchers can collaborate in developing computational methods and mathematical models for high-resolution three-dimensional structures from cryo-ET datasets.
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Affiliation(s)
- Cuicui Zhao
- Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China
| | - Da Lu
- Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China
| | - Qian Zhao
- Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China
| | - Chongjiao Ren
- Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China
| | - Huangtao Zhang
- Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China
| | - Jiaqi Zhai
- Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China
| | - Jiaxin Gou
- Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China
| | - Shilin Zhu
- Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China
| | - Yaqi Zhang
- Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China
| | - Xinqi Gong
- Mathematical Intelligence Application LAB, Institute for Mathematical Sciences, Renmin University of China, Beijing, China
- Beijing Academy of Intelligence, Beijing, China
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5
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Huang Y, Zhang Y, Ni T. Towards in situ high-resolution imaging of viruses and macromolecular complexes using cryo-electron tomography. J Struct Biol 2023; 215:108000. [PMID: 37467823 DOI: 10.1016/j.jsb.2023.108000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 07/15/2023] [Accepted: 07/16/2023] [Indexed: 07/21/2023]
Abstract
Cryo-electron tomography and subtomogram averaging are rising and fast-evolving imaging techniques to study biological events, providing structural information at an unprecedented resolution while preserving spatial correlation in their native contexts. The latest technology and methodology development ranging from sample preparation to data collection and data processing, has enabled significant advancement in its applications to various biological systems. This review provides an overview of the current technology development enabling high-resolution structural study in situ, highlighting the use of a priori information of biological samples to assess the quality of subtomogram averaging pipeline. We exemplify the applications of this technique to understanding viruses and principles of macromolecule assembly using different biological systems, ranging from in vitro to in situ samples, which provide structural information at different resolutions and contexts.
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Affiliation(s)
- Yixin Huang
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region
| | - Yu Zhang
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region
| | - Tao Ni
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region.
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6
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Prichard A, Lee J, Laughlin TG, Lee A, Thomas KP, Sy AE, Spencer T, Asavavimol A, Cafferata A, Cameron M, Chiu N, Davydov D, Desai I, Diaz G, Guereca M, Hearst K, Huang L, Jacobs E, Johnson A, Kahn S, Koch R, Martinez A, Norquist M, Pau T, Prasad G, Saam K, Sandhu M, Sarabia AJ, Schumaker S, Sonin A, Uyeno A, Zhao A, Corbett KD, Pogliano K, Meyer J, Grose JH, Villa E, Dutton R, Pogliano J. Identifying the core genome of the nucleus-forming bacteriophage family and characterization of Erwinia phage RAY. Cell Rep 2023; 42:112432. [PMID: 37120812 PMCID: PMC10299810 DOI: 10.1016/j.celrep.2023.112432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/28/2023] [Accepted: 04/08/2023] [Indexed: 05/01/2023] Open
Abstract
We recently discovered that some bacteriophages establish a nucleus-like replication compartment (phage nucleus), but the core genes that define nucleus-based phage replication and their phylogenetic distribution were still to be determined. Here, we show that phages encoding the major phage nucleus protein chimallin share 72 conserved genes encoded within seven gene blocks. Of these, 21 core genes are unique to nucleus-forming phage, and all but one of these genes encode proteins of unknown function. We propose that these phages comprise a novel viral family we term Chimalliviridae. Fluorescence microscopy and cryoelectron tomography studies of Erwinia phage vB_EamM_RAY confirm that many of the key steps of nucleus-based replication are conserved among diverse chimalliviruses and reveal variations on this replication mechanism. This work expands our understanding of phage nucleus and PhuZ spindle diversity and function, providing a roadmap for identifying key mechanisms underlying nucleus-based phage replication.
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Affiliation(s)
- Amy Prichard
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Jina Lee
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Thomas G Laughlin
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Amber Lee
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Kyle P Thomas
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Annika E Sy
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Tara Spencer
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Aileen Asavavimol
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Allison Cafferata
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Mia Cameron
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Nicholas Chiu
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Demyan Davydov
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Isha Desai
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Gabriel Diaz
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Melissa Guereca
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Kiley Hearst
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Leyi Huang
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Emily Jacobs
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Annika Johnson
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Samuel Kahn
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Ryan Koch
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Adamari Martinez
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Meliné Norquist
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Tyler Pau
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Gino Prasad
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Katrina Saam
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Milan Sandhu
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Angel Jose Sarabia
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Siena Schumaker
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Aaron Sonin
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Ariya Uyeno
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Alison Zhao
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Kevin D Corbett
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Kit Pogliano
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Justin Meyer
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Julianne H Grose
- Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA
| | - Elizabeth Villa
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA; Howard Hughes Medical Institute, University of California San Diego, La Jolla, CA 92093, USA
| | - Rachel Dutton
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Joe Pogliano
- School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.
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7
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Abstract
Recent advances in cryo-electron microscopy have marked only the beginning of the potential of this technique. To bring structure into cell biology, the modality of cryo-electron tomography has fast developed into a bona fide in situ structural biology technique where structures are determined in their native environment, the cell. Nearly every step of the cryo-focused ion beam-assisted electron tomography (cryo-FIB-ET) workflow has been improved upon in the past decade, since the first windows were carved into cells, unveiling macromolecular networks in near-native conditions. By bridging structural and cell biology, cryo-FIB-ET is advancing our understanding of structure-function relationships in their native environment and becoming a tool for discovering new biology.
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Affiliation(s)
- Lindsey N Young
- Department of Molecular Biology, University of California, San Diego, La Jolla, California, USA;
| | - Elizabeth Villa
- Department of Molecular Biology, University of California, San Diego, La Jolla, California, USA;
- Howard Hughes Medical Institute, University of California, San Diego, La Jolla, California, USA
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8
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Zivanov J, Otón J, Ke Z, von Kügelgen A, Pyle E, Qu K, Morado D, Castaño-Díez D, Zanetti G, Bharat TAM, Briggs JAG, Scheres SHW. A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0. eLife 2022; 11:83724. [PMID: 36468689 PMCID: PMC9815803 DOI: 10.7554/elife.83724] [Citation(s) in RCA: 93] [Impact Index Per Article: 46.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/04/2022] [Indexed: 12/12/2022] Open
Abstract
We present a new approach for macromolecular structure determination from multiple particles in electron cryo-tomography (cryo-ET) data sets. Whereas existing subtomogram averaging approaches are based on 3D data models, we propose to optimise a regularised likelihood target that approximates a function of the 2D experimental images. In addition, analogous to Bayesian polishing and contrast transfer function (CTF) refinement in single-particle analysis, we describe the approaches that exploit the increased signal-to-noise ratio in the averaged structure to optimise tilt-series alignments, beam-induced motions of the particles throughout the tilt-series acquisition, defoci of the individual particles, as well as higher-order optical aberrations of the microscope. Implementation of our approaches in the open-source software package RELION aims to facilitate their general use, particularly for those researchers who are already familiar with its single-particle analysis tools. We illustrate for three applications that our approaches allow structure determination from cryo-ET data to resolutions sufficient for de novo atomic modelling.
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Affiliation(s)
- Jasenko Zivanov
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom,Laboratory of Biomedical Imaging (LIB)LausanneSwitzerland,BioEM lab, Biozentrum, University of BaselBaselSwitzerland
| | - Joaquín Otón
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom,ALBA SynchrotronBarcelonaSpain
| | - Zunlong Ke
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom,Max Planck Institute of BiochemistryMartinsriedGermany
| | - Andriko von Kügelgen
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom,Sir William Dunn School of Pathology, University of OxfordOxfordUnited Kingdom
| | - Euan Pyle
- Institute of Structural and Molecular Biology, Birkbeck CollegeLondonUnited Kingdom
| | - Kun Qu
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom
| | - Dustin Morado
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom,Max Planck Institute of BiochemistryMartinsriedGermany
| | - Daniel Castaño-Díez
- BioEM lab, Biozentrum, University of BaselBaselSwitzerland,Instituto BiofisikaLeioaSpain
| | - Giulia Zanetti
- Institute of Structural and Molecular Biology, Birkbeck CollegeLondonUnited Kingdom
| | - Tanmay AM Bharat
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom,Sir William Dunn School of Pathology, University of OxfordOxfordUnited Kingdom
| | - John AG Briggs
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom,Max Planck Institute of BiochemistryMartinsriedGermany
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