1
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Erozan A, Lösel PD, Heuveline V, Weinhardt V. Automated 3D cytoplasm segmentation in soft X-ray tomography. iScience 2024; 27:109856. [PMID: 38784019 PMCID: PMC11112332 DOI: 10.1016/j.isci.2024.109856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/22/2024] [Accepted: 04/27/2024] [Indexed: 05/25/2024] Open
Abstract
Cells' structure is key to understanding cellular function, diagnostics, and therapy development. Soft X-ray tomography (SXT) is a unique tool to image cellular structure without fixation or labeling at high spatial resolution and throughput. Fast acquisition times increase demand for accelerated image analysis, like segmentation. Currently, segmenting cellular structures is done manually and is a major bottleneck in the SXT data analysis. This paper introduces ACSeg, an automated 3D cytoplasm segmentation model. ACSeg is generated using semi-automated labels and 3D U-Net and is trained on 43 SXT tomograms of immune T cells, rapidly converging to high-accuracy segmentation, therefore reducing time and labor. Furthermore, adding only 6 SXT tomograms of other cell types diversifies the model, showing potential for optimal experimental design. ACSeg successfully segmented unseen tomograms and is published on Biomedisa, enabling high-throughput analysis of cell volume and structure of cytoplasm in diverse cell types.
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Affiliation(s)
- Ayse Erozan
- Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany
- Engineering Mathematics and Computing Lab, Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany
- Data Mining and Uncertainty Quantification, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
| | - Philipp D. Lösel
- Engineering Mathematics and Computing Lab, Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany
- Data Mining and Uncertainty Quantification, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
- Department of Materials Physics Research School of Physics, The Australian National University, Acton ACT, Australia
| | - Vincent Heuveline
- Engineering Mathematics and Computing Lab, Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany
- Data Mining and Uncertainty Quantification, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
| | - Venera Weinhardt
- Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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2
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Golyshev SA, Kazakov EP, Kireev II, Reunov DG, Malyshev IV. Soft X-ray Microscopy in Cell Biology: Current Status, Contributions and Prospects. Acta Naturae 2023; 15:32-43. [PMID: 38234603 PMCID: PMC10790358 DOI: 10.32607/actanaturae.26551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 11/27/2023] [Indexed: 01/19/2024] Open
Abstract
The recent advances achieved in microscopy technology have led to a significant breakthrough in biological research. Super-resolution fluorescent microscopy now allows us to visualize subcellular structures down to the pin-pointing of the single molecules in them, while modern electron microscopy has opened new possibilities in the study of protein complexes in their native, intracellular environment at near-atomic resolution. Nonetheless, both fluorescent and electron microscopy have remained beset by their principal shortcomings: the reliance on labeling procedures and severe sample volume limitations, respectively. Soft X-ray microscopy is a candidate method that can compensate for the shortcomings of both technologies by making possible observation of the entirety of the cellular interior without chemical fixation and labeling with an isotropic resolution of 40-70 nm. This will thus bridge the resolution gap between light and electron microscopy (although this gap is being narrowed, it still exists) and resolve the issue of compatibility with the former, and possibly in the near future, the latter methods. This review aims to assess the current state of soft X-ray microscopy and its impact on our understanding of the subcellular organization. It also attempts to look into the future of X-ray microscopy, particularly as relates to its seamless integration into the cell biology toolkit.
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Affiliation(s)
- S. A. Golyshev
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119992 Russian Federation
| | - E. P. Kazakov
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119992 Russian Federation
| | - I. I. Kireev
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119992 Russian Federation
| | - D. G. Reunov
- Institute of Physics of Microstructures RAS, Nizhny Novgorod, 603950 Russian Federation
| | - I. V. Malyshev
- Institute of Physics of Microstructures RAS, Nizhny Novgorod, 603950 Russian Federation
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3
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Chen JH, Vanslembrouck B, Ekman A, Loconte V, Weinhardt V, LeGros M, Larabell C. Soft X-ray 3D imaging: A Powerful Tool for Visualizing Virus Infections with Increased Resolution and Field of View. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2023; 29:1179-1180. [PMID: 37613471 DOI: 10.1093/micmic/ozad067.606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Affiliation(s)
- Jian-Hua Chen
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States
| | - Bieke Vanslembrouck
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States
| | - Axel Ekman
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States
| | - Valentina Loconte
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States
| | - Venera Weinhardt
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States
- Department of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg, Germany
| | - Mark LeGros
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States
| | - Carolyn Larabell
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States
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4
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Chen JH, Vanslembrouck B, Ekman A, Loconte V, Weinhardt V, LeGros M, Larabell C. Soft X-ray 3D Imaging: A Powerful Tool for Visualizing Virus Infections with Increased Resolution and Field of View. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2023; 29:1155-1156. [PMID: 37613514 DOI: 10.1093/micmic/ozad067.590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Affiliation(s)
- Jian-Hua Chen
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States of America
| | - Bieke Vanslembrouck
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States of America
| | - Axel Ekman
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States of America
| | - Valentina Loconte
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States of America
| | - Venera Weinhardt
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- Department of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg, Germany
| | - Mark LeGros
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States of America
| | - Carolyn Larabell
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- Department of Anatomy, University of California San Francisco, San Francisco, California, United States of America
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5
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Boeynaems S, Ma XR, Yeong V, Ginell GM, Chen JH, Blum JA, Nakayama L, Sanyal A, Briner A, Haver DV, Pauwels J, Ekman A, Schmidt HB, Sundararajan K, Porta L, Lasker K, Larabell C, Hayashi MAF, Kundaje A, Impens F, Obermeyer A, Holehouse AS, Gitler AD. Aberrant phase separation is a common killing strategy of positively charged peptides in biology and human disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.09.531820. [PMID: 36945394 PMCID: PMC10028949 DOI: 10.1101/2023.03.09.531820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Positively charged repeat peptides are emerging as key players in neurodegenerative diseases. These peptides can perturb diverse cellular pathways but a unifying framework for how such promiscuous toxicity arises has remained elusive. We used mass-spectrometry-based proteomics to define the protein targets of these neurotoxic peptides and found that they all share similar sequence features that drive their aberrant condensation with these positively charged peptides. We trained a machine learning algorithm to detect such sequence features and unexpectedly discovered that this mode of toxicity is not limited to human repeat expansion disorders but has evolved countless times across the tree of life in the form of cationic antimicrobial and venom peptides. We demonstrate that an excess in positive charge is necessary and sufficient for this killer activity, which we name 'polycation poisoning'. These findings reveal an ancient and conserved mechanism and inform ways to leverage its design rules for new generations of bioactive peptides.
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Affiliation(s)
- Steven Boeynaems
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX 77030, USA
- Therapeutic Innovation Center (THINC), Baylor College of Medicine, Houston, TX 77030, USA
- Center for Alzheimer’s and Neurodegenerative Diseases (CAND), Texas Children’s Hospital, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center (DLDCCC), Baylor College of Medicine, Houston, TX 77030, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - X. Rosa Ma
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Vivian Yeong
- Department of Chemical Engineering, Columbia University, New York, NY, 10027, USA
| | - Garrett M. Ginell
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Biomolecular Condensates, Washington University in St Louis, St. Louis, MO 63130, USA
| | - Jian-Hua Chen
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, CA 94143, USA
| | - Jacob A. Blum
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lisa Nakayama
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anushka Sanyal
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Adam Briner
- Clem Jones Centre for Ageing Dementia Research (CJCADR), Queensland Brain Institute (QBI), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Delphi Van Haver
- VIB-UGent Center for Medical Biotechnology, 9000 Gent, Belgium
- VIB Proteomics Core, 9000 Gent, Belgium
- Department of Biochemistry, Ghent University, 9000 Gent, Belgium
| | - Jarne Pauwels
- VIB-UGent Center for Medical Biotechnology, 9000 Gent, Belgium
- VIB Proteomics Core, 9000 Gent, Belgium
- Department of Biochemistry, Ghent University, 9000 Gent, Belgium
| | - Axel Ekman
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, CA 94143, USA
| | - H. Broder Schmidt
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kousik Sundararajan
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lucas Porta
- Department of Pharmacology, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil
| | - Keren Lasker
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Carolyn Larabell
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, CA 94143, USA
| | - Mirian A. F. Hayashi
- Department of Pharmacology, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil
| | - Anshul Kundaje
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Francis Impens
- VIB-UGent Center for Medical Biotechnology, 9000 Gent, Belgium
- VIB Proteomics Core, 9000 Gent, Belgium
- Department of Biochemistry, Ghent University, 9000 Gent, Belgium
| | - Allie Obermeyer
- Department of Chemical Engineering, Columbia University, New York, NY, 10027, USA
| | - Alex S. Holehouse
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Biomolecular Condensates, Washington University in St Louis, St. Louis, MO 63130, USA
| | - Aaron D. Gitler
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
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6
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Resolving hidden pixels beyond the resolution limit of projection imaging by square aperture. Sci Rep 2023; 13:3449. [PMID: 36859466 PMCID: PMC9977726 DOI: 10.1038/s41598-023-30516-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 02/16/2023] [Indexed: 03/03/2023] Open
Abstract
Projection imaging has been employed widely in many areas, such as x-ray radiography, due to its penetration power and ballistic geometry of their paths. However, its resolution limit remains a major challenge, caused by the conflict of source intensity and source size associated with image blurriness. A simple yet robust scheme has been proposed here to solve the problem. An unconventional square aperture, rather than the usual circular beam, is constructed, which allows for the straightforward deciphering of a blurred spot, to unravel hundreds originally hidden pixels. With numerical verification and experimental demonstration, our proposal is expected to benefit multiple disciplines, not limited to x-ray imaging.
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7
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Loconte V, Chen J, Vanslembrouck B, Ekman AA, McDermott G, Le Gros MA, Larabell CA. Soft X-ray tomograms provide a structural basis for whole-cell modeling. FASEB J 2023; 37:e22681. [PMID: 36519968 PMCID: PMC10107707 DOI: 10.1096/fj.202200253r] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 11/13/2022] [Accepted: 11/21/2022] [Indexed: 12/23/2022]
Abstract
Developing in silico models that accurately reflect a whole, functional cell is an ongoing challenge in biology. Current efforts bring together mathematical models, probabilistic models, visual representations, and data to create a multi-scale description of cellular processes. A realistic whole-cell model requires imaging data since it provides spatial constraints and other critical cellular characteristics that are still impossible to obtain by calculation alone. This review introduces Soft X-ray Tomography (SXT) as a powerful imaging technique to visualize and quantify the mesoscopic (~25 nm spatial scale) organelle landscape in whole cells. SXT generates three-dimensional reconstructions of cellular ultrastructure and provides a measured structural framework for whole-cell modeling. Combining SXT with data from disparate technologies at varying spatial resolutions provides further biochemical details and constraints for modeling cellular mechanisms. We conclude, based on the results discussed here, that SXT provides a foundational dataset for a broad spectrum of whole-cell modeling experiments.
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Affiliation(s)
- Valentina Loconte
- Department of AnatomyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Molecular Biophysics and Integrated Bioimaging DivisionLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
- National Center for X‐ray TomographyAdvanced Light SourceBerkeleyCaliforniaUSA
| | - Jian‐Hua Chen
- Department of AnatomyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Molecular Biophysics and Integrated Bioimaging DivisionLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
- National Center for X‐ray TomographyAdvanced Light SourceBerkeleyCaliforniaUSA
| | - Bieke Vanslembrouck
- Department of AnatomyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Molecular Biophysics and Integrated Bioimaging DivisionLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
- National Center for X‐ray TomographyAdvanced Light SourceBerkeleyCaliforniaUSA
| | - Axel A. Ekman
- National Center for X‐ray TomographyAdvanced Light SourceBerkeleyCaliforniaUSA
| | - Gerry McDermott
- Department of AnatomyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Molecular Biophysics and Integrated Bioimaging DivisionLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
- National Center for X‐ray TomographyAdvanced Light SourceBerkeleyCaliforniaUSA
| | - Mark A. Le Gros
- Department of AnatomyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Molecular Biophysics and Integrated Bioimaging DivisionLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
- National Center for X‐ray TomographyAdvanced Light SourceBerkeleyCaliforniaUSA
| | - Carolyn A. Larabell
- Department of AnatomyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Molecular Biophysics and Integrated Bioimaging DivisionLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
- National Center for X‐ray TomographyAdvanced Light SourceBerkeleyCaliforniaUSA
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8
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Chen JH, Vanslembrouck B, Loconte V, Ekman A, Cortese M, Bartenschlager R, McDermott G, Larabell CA, Le Gros MA, Weinhardt V. A protocol for full-rotation soft X-ray tomography of single cells. STAR Protoc 2022; 3:101176. [PMID: 35199039 PMCID: PMC8844304 DOI: 10.1016/j.xpro.2022.101176] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
The protocol describes step-by-step sample preparation, data acquisition, and segmentation of cellular organelles with soft X-ray tomography. It is designed for microscopes built to perform full-rotation data acquisition on specimens in cylindrical sample holders, such as the XM-2 microscope at the Advanced Light Source, LBNL; however, it might be generalized for similar sample holder designs for both synchrotron and table-top microscopes. For complete details on the use and execution of this profile, please refer to Loconte et al. (2021).
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Affiliation(s)
- Jian-Hua Chen
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Bieke Vanslembrouck
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Valentina Loconte
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Axel Ekman
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Mirko Cortese
- Department of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg 69120, Germany
| | - Ralf Bartenschlager
- Department of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg 69120, Germany
- German Center for Infection Research, Heidelberg Partner Site, Heidelberg 69120, Germany
- Division Virus-Associated Carcinogenesis, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Gerry McDermott
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Carolyn A. Larabell
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Mark A. Le Gros
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Venera Weinhardt
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Centre for Organismal Studies, Heidelberg University, Heidelberg 69120, Germany
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9
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Loconte V, Singla J, Li A, Chen JH, Ekman A, McDermott G, Sali A, Le Gros M, White KL, Larabell CA. Soft X-ray tomography to map and quantify organelle interactions at the mesoscale. Structure 2022; 30:510-521.e3. [PMID: 35148829 PMCID: PMC9013509 DOI: 10.1016/j.str.2022.01.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 12/04/2021] [Accepted: 01/17/2022] [Indexed: 12/11/2022]
Abstract
Inter-organelle interactions are a vital part of normal cellular function; however, these have proven difficult to quantify due to the range of scales encountered in cell biology and the throughput limitations of traditional imaging approaches. Here, we demonstrate that soft X-ray tomography (SXT) can be used to rapidly map ultrastructural reorganization and inter-organelle interactions in intact cells. SXT takes advantage of the naturally occurring, differential X-ray absorption of the carbon-rich compounds in each organelle. Specifically, we use SXT to map the spatiotemporal evolution of insulin vesicles and their co-localization and interaction with mitochondria in pancreatic β cells during insulin secretion and in response to different stimuli. We quantify changes in the morphology, biochemical composition, and relative position of mitochondria and insulin vesicles. These findings highlight the importance of a comprehensive and unbiased mapping at the mesoscale to characterize cell reorganization that would be difficult to detect with other existing methodologies.
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Affiliation(s)
- Valentina Loconte
- iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jitin Singla
- Department of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Angdi Li
- iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jian-Hua Chen
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Axel Ekman
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Gerry McDermott
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Andrej Sali
- Department of Bioengineering and Therapeutic Science, Department of Pharmaceutical Chemistry, California Institute of Quantitative Bioscience, University of California San Francisco, San Francisco, CA 94158, USA
| | - Mark Le Gros
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Kate L White
- Department of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
| | - Carolyn A Larabell
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
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10
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Loconte V, White KL. The use of soft X-ray tomography to explore mitochondrial structure and function. Mol Metab 2021; 57:101421. [PMID: 34942399 PMCID: PMC8829759 DOI: 10.1016/j.molmet.2021.101421] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 11/22/2021] [Accepted: 12/15/2021] [Indexed: 11/25/2022] Open
Abstract
Background Mitochondria are cellular organelles responsible for energy production, and dysregulation of the mitochondrial network is associated with many disease states. To fully characterize the mitochondrial network's structure and function, a three-dimensional whole cell mapping technique is required. Scope of review This review highlights the use of soft X-ray tomography (SXT) as a relatively high-throughput approach to quantify mitochondrial structure and function under multiple cellular conditions. Major conclusions The use of SXT opens the door for mapping cellular rearrangements during critical processes such as insulin secretion, stem cell differentiation, or disease progression. SXT provides unique information such as biochemical compositions or molecular densities of organelles and allows for unbiased, label-free imaging of intact whole cells. Mapping mitochondria in the context of the near-native cellular environment will reveal more information regarding mitochondrial network functions within the cell. Soft X-ray tomography (SXT) generates 3D organelle maps of intact cells. 3D maps reveal the positions of mitochondria and their molecular densities. SXT can be used to quantify and compare organelle contacts between conditions. SXT is unbiased imaging that identifies the contents of subcellular neighborhoods. SXT provides an exciting path for exploring metabolic dysfunction.
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Affiliation(s)
- Valentina Loconte
- Department of Anatomy, School of Medicine, UCSF, San Francisco, California, CA 94143; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Kate L White
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Department of Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
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11
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Groen J, Palanca A, Aires A, Conesa JJ, Maestro D, Rehbein S, Harkiolaki M, Villar AV, Cortajarena AL, Pereiro E. Correlative 3D cryo X-ray imaging reveals intracellular location and effect of designed antifibrotic protein-nanomaterial hybrids. Chem Sci 2021; 12:15090-15103. [PMID: 34909150 PMCID: PMC8612387 DOI: 10.1039/d1sc04183e] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 10/17/2021] [Indexed: 12/20/2022] Open
Abstract
Revealing the intracellular location of novel therapeutic agents is paramount for the understanding of their effect at the cell ultrastructure level. Here, we apply a novel correlative cryo 3D imaging approach to determine the intracellular fate of a designed protein–nanomaterial hybrid with antifibrotic properties that shows great promise in mitigating myocardial fibrosis. Cryo 3D structured illumination microscopy (cryo-3D-SIM) pinpoints the location and cryo soft X-ray tomography (cryo-SXT) reveals the ultrastructural environment and subcellular localization of this nanomaterial with spatial correlation accuracy down to 70 nm in whole cells. This novel high resolution 3D cryo correlative approach unambiguously locates the nanomaterial after overnight treatment within multivesicular bodies which have been associated with endosomal trafficking events by confocal microscopy. Moreover, this approach allows assessing the cellular response towards the treatment by evaluating the morphological changes induced. This is especially relevant for the future usage of nanoformulations in clinical practices. This correlative super-resolution and X-ray imaging strategy joins high specificity, by the use of fluorescence, with high spatial resolution at 30 nm (half pitch) provided by cryo-SXT in whole cells, without the need of staining or fixation, and can be of particular benefit to locate specific molecules in the native cellular environment in bio-nanomedicine. A novel 3D cryo correlative approach locates designed therapeutic protein–nanomaterial hybrids in whole cells with high specificity and resolution. Detection of treatment-induced morphological changes, crucial for pre-clinical studies, are revealed.![]()
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Affiliation(s)
- J Groen
- MISTRAL Beamline, Experiments Division, ALBA Synchrotron Light Source Cerdanyola del Valles 08290 Barcelona Spain
| | - A Palanca
- Instituto de Biomedicina y Biotecnologia de Cantabria (IBBTEC), University of Cantabria, CSIC 39011 Santander Spain.,Department of Anatomy and Cell Biology, University of Cantabria 39011 Santander Spain
| | - A Aires
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA) Paseo de Miramón 194 20014 Donostia San Sebastian Spain
| | - J J Conesa
- MISTRAL Beamline, Experiments Division, ALBA Synchrotron Light Source Cerdanyola del Valles 08290 Barcelona Spain .,National Center for Biotechnology CSIC (CNB-CSIC), Department of Macromolecular Structures Cantoblanco 28049 Madrid Spain
| | - D Maestro
- Instituto de Biomedicina y Biotecnologia de Cantabria (IBBTEC), University of Cantabria, CSIC 39011 Santander Spain
| | - S Rehbein
- Helmholtz-Zentrum Berlin für Materialien und Energie, Bessy II D-12489 Berlin Germany
| | - M Harkiolaki
- Beamline B24, Diamond Light Source, Harwell Science and Innovation Campus Didcot Oxfordshire OX11 0DE UK
| | - A V Villar
- Instituto de Biomedicina y Biotecnologia de Cantabria (IBBTEC), University of Cantabria, CSIC 39011 Santander Spain.,Department of Physiology and Pharmacology, University of Cantabria Avd. Herrera Oria s/n Santander Spain
| | - A L Cortajarena
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA) Paseo de Miramón 194 20014 Donostia San Sebastian Spain .,Ikerbasque, Basque Foundation for Science 48009 Bilbao Spain
| | - E Pereiro
- MISTRAL Beamline, Experiments Division, ALBA Synchrotron Light Source Cerdanyola del Valles 08290 Barcelona Spain
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12
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Loconte V, Chen JH, Cortese M, Ekman A, Le Gros MA, Larabell C, Bartenschlager R, Weinhardt V. Using soft X-ray tomography for rapid whole-cell quantitative imaging of SARS-CoV-2-infected cells. CELL REPORTS METHODS 2021; 1:100117. [PMID: 34729550 PMCID: PMC8552653 DOI: 10.1016/j.crmeth.2021.100117] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/10/2021] [Accepted: 10/22/2021] [Indexed: 02/08/2023]
Abstract
High-resolution and rapid imaging of host cell ultrastructure can generate insights toward viral disease mechanism, for example for a severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Here, we employ full-rotation soft X-ray tomography (SXT) to examine organelle remodeling induced by SARS-CoV-2 at the whole-cell level with high spatial resolution and throughput. Most of the current SXT systems suffer from a restricted field of view due to use of flat sample supports and artifacts due to missing data. In this approach using cylindrical sample holders, a full-rotation tomogram of human lung epithelial cells is performed in less than 10 min. We demonstrate the potential of SXT imaging by visualizing aggregates of SARS-CoV-2 virions and virus-induced intracellular alterations. This rapid whole-cell imaging approach allows us to visualize the spatiotemporal changes of cellular organelles upon viral infection in a quantitative manner.
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Affiliation(s)
- Valentina Loconte
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA
| | - Jian-Hua Chen
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA
| | - Mirko Cortese
- Department of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg, Germany
| | - Axel Ekman
- Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA
| | - Mark A. Le Gros
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA
| | - Carolyn Larabell
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA
| | - Ralf Bartenschlager
- Department of Infectious Diseases, Molecular Virology Heidelberg University, Heidelberg, Germany
- German Center for Infection Research, Heidelberg Partner Site, Heidelberg, Germany
- Division Virus-Associated Carcinogenesis, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Venera Weinhardt
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany
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13
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Polo CC, Fonseca-Alaniz MH, Chen JH, Ekman A, McDermott G, Meneau F, Krieger JE, Miyakawa AA. Three-dimensional imaging of mitochondrial cristae complexity using cryo-soft X-ray tomography. Sci Rep 2020; 10:21045. [PMID: 33273629 PMCID: PMC7713364 DOI: 10.1038/s41598-020-78150-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 11/17/2020] [Indexed: 12/12/2022] Open
Abstract
Mitochondria are dynamic organelles that change morphology to adapt to cellular energetic demands under both physiological and stress conditions. Cardiomyopathies and neuronal disorders are associated with structure-related dysfunction in mitochondria, but three-dimensional characterizations of the organelles are still lacking. In this study, we combined high-resolution imaging and 3D electron density information provided by cryo-soft X-ray tomography to characterize mitochondria cristae morphology isolated from murine. Using the linear attenuation coefficient, the mitochondria were identified (0.247 ± 0.04 µm-1) presenting average dimensions of 0.90 ± 0.20 µm in length and 0.63 ± 0.12 µm in width. The internal mitochondria structure was successfully identified by reaching up the limit of spatial resolution of 35 nm. The internal mitochondrial membranes invagination (cristae) complexity was calculated by the mitochondrial complexity index (MCI) providing quantitative and morphological information of mitochondria larger than 0.90 mm in length. The segmentation to visualize the cristae invaginations into the mitochondrial matrix was possible in mitochondria with MCI ≥ 7. Altogether, we demonstrated that the MCI is a valuable quantitative morphological parameter to evaluate cristae modelling and can be applied to compare healthy and disease state associated to mitochondria morphology.
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Affiliation(s)
- Carla C Polo
- Brazilian Synchrotron Light Laboratory (LNLS), Brazilian Centre for Research in Energy and Materials (CNPEM), Campinas, SP, 13083-970, Brazil.
| | - Miriam H Fonseca-Alaniz
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Jian-Hua Chen
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Anatomy, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Axel Ekman
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Gerry McDermott
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Florian Meneau
- Brazilian Synchrotron Light Laboratory (LNLS), Brazilian Centre for Research in Energy and Materials (CNPEM), Campinas, SP, 13083-970, Brazil
| | - José E Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Ayumi A Miyakawa
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil.
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14
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Bayguinov PO, Fisher MR, Fitzpatrick JAJ. Assaying three-dimensional cellular architecture using X-ray tomographic and correlated imaging approaches. J Biol Chem 2020; 295:15782-15793. [PMID: 32938716 PMCID: PMC7667966 DOI: 10.1074/jbc.rev120.009633] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/15/2020] [Indexed: 12/16/2022] Open
Abstract
Much of our understanding of the spatial organization of and interactions between cellular organelles and macromolecular complexes has been the result of imaging studies utilizing either light- or electron-based microscopic analyses. These classical approaches, while insightful, are nonetheless limited either by restrictions in resolution or by the sheer complexity of generating multidimensional data. Recent advances in the use and application of X-rays to acquire micro- and nanotomographic data sets offer an alternative methodology to visualize cellular architecture at the nanoscale. These new approaches allow for the subcellular analyses of unstained vitrified cells and three-dimensional localization of specific protein targets and have served as an essential tool in bridging light and electron correlative microscopy experiments. Here, we review the theory, instrumentation details, acquisition principles, and applications of both soft X-ray tomography and X-ray microscopy and how the use of these techniques offers a succinct means of analyzing three-dimensional cellular architecture. We discuss some of the recent work that has taken advantage of these approaches and detail how they have become integral in correlative microscopy workflows.
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Affiliation(s)
- Peter O Bayguinov
- Washington University Center for Cellular Imaging, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Max R Fisher
- Washington University Center for Cellular Imaging, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - James A J Fitzpatrick
- Washington University Center for Cellular Imaging, Washington University School of Medicine, Saint Louis, Missouri, USA; Departments of Cell Biology and Physiology and Neuroscience, Washington University School of Medicine, Saint Louis, Missouri, USA; Department of Biomedical Engineering, Washington University in Saint Louis, Saint Louis, Missouri, USA.
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