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Jadav N, Velamoor S, Huang D, Cassin L, Hazelton N, Eruera AR, Burga LN, Bostina M. Beyond the surface: Investigation of tumorsphere morphology using volume electron microscopy. J Struct Biol 2023; 215:108035. [PMID: 37805154 DOI: 10.1016/j.jsb.2023.108035] [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: 08/04/2023] [Revised: 10/02/2023] [Accepted: 10/04/2023] [Indexed: 10/09/2023]
Abstract
The advent of volume electron microscopy (vEM) has provided unprecedented insights into cellular and subcellular organization, revolutionizing our understanding of cancer biology. This study presents a previously unexplored comparative analysis of the ultrastructural disparities between cancer cells cultured as monolayers and tumorspheres. By integrating a robust workflow that incorporates high-pressure freezing followed by freeze substitution (HPF/FS), serial block face scanning electron microscopy (SBF-SEM), manual and deep learning-based segmentation, and statistical analysis, we have successfully generated three-dimensional (3D) reconstructions of monolayer and tumorsphere cells, including their subcellular organelles. Our findings reveal a significant degree of variation in cellular morphology in tumorspheres. We observed the increased prevalence of nuclear envelope invaginations in tumorsphere cells compared to monolayers. Furthermore, we detected a diverse range of mitochondrial morphologies exclusively in tumorsphere cells, as well as intricate cellular interconnectivity within the tumorsphere architecture. These remarkable ultrastructural differences emphasize the use of tumorspheres as a superior model for cancer research due to their relevance to in vivo conditions. Our results strongly advocate for the utilization of tumorsphere cells in cancer research studies, enhancing the precision and relevance of experimental outcomes, and ultimately accelerating therapeutic advancements.
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Affiliation(s)
- Nickhil Jadav
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Sailakshmi Velamoor
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Daniel Huang
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Léna Cassin
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Niki Hazelton
- Otago Micro and Nano Imaging (OMNI) Electron Microscopy Suite, University of Otago, Dunedin, New Zealand
| | - Alice-Roza Eruera
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Laura N Burga
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Mihnea Bostina
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand; Otago Micro and Nano Imaging (OMNI) Electron Microscopy Suite, University of Otago, Dunedin, New Zealand.
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Smith P, King ONF, Pennington A, Tun W, Basham M, Jones ML, Collinson LM, Darrow MC, Spiers H. Online citizen science with the Zooniverse for analysis of biological volumetric data. Histochem Cell Biol 2023; 160:253-276. [PMID: 37284846 PMCID: PMC10245346 DOI: 10.1007/s00418-023-02204-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/28/2023] [Indexed: 06/08/2023]
Abstract
Public participation in research, also known as citizen science, is being increasingly adopted for the analysis of biological volumetric data. Researchers working in this domain are applying online citizen science as a scalable distributed data analysis approach, with recent research demonstrating that non-experts can productively contribute to tasks such as the segmentation of organelles in volume electron microscopy data. This, alongside the growing challenge to rapidly process the large amounts of biological volumetric data now routinely produced, means there is increasing interest within the research community to apply online citizen science for the analysis of data in this context. Here, we synthesise core methodological principles and practices for applying citizen science for analysis of biological volumetric data. We collate and share the knowledge and experience of multiple research teams who have applied online citizen science for the analysis of volumetric biological data using the Zooniverse platform ( www.zooniverse.org ). We hope this provides inspiration and practical guidance regarding how contributor effort via online citizen science may be usefully applied in this domain.
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Affiliation(s)
- Patricia Smith
- The Rosalind Franklin Institute, Harwell Campus, Fermi Avenue, Didcot, OX11 0FA, UK
| | - Oliver N F King
- Diamond Light Source, Harwell Campus, Fermi Avenue, Didcot, OX11 0DE, UK
| | - Avery Pennington
- The Rosalind Franklin Institute, Harwell Campus, Fermi Avenue, Didcot, OX11 0FA, UK
- Diamond Light Source, Harwell Campus, Fermi Avenue, Didcot, OX11 0DE, UK
| | - Win Tun
- Diamond Light Source, Harwell Campus, Fermi Avenue, Didcot, OX11 0DE, UK
| | - Mark Basham
- The Rosalind Franklin Institute, Harwell Campus, Fermi Avenue, Didcot, OX11 0FA, UK
- Diamond Light Source, Harwell Campus, Fermi Avenue, Didcot, OX11 0DE, UK
| | | | | | - Michele C Darrow
- The Rosalind Franklin Institute, Harwell Campus, Fermi Avenue, Didcot, OX11 0FA, UK.
| | - Helen Spiers
- The Francis Crick Institute, London, NW1 1AT, UK.
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Kievits AJ, Lane R, Carroll EC, Hoogenboom JP. How innovations in methodology offer new prospects for volume electron microscopy. J Microsc 2022; 287:114-137. [PMID: 35810393 PMCID: PMC9546337 DOI: 10.1111/jmi.13134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 06/29/2022] [Accepted: 07/06/2022] [Indexed: 11/29/2022]
Abstract
Detailed knowledge of biological structure has been key in understanding biology at several levels of organisation, from organs to cells and proteins. Volume electron microscopy (volume EM) provides high resolution 3D structural information about tissues on the nanometre scale. However, the throughput rate of conventional electron microscopes has limited the volume size and number of samples that can be imaged. Recent improvements in methodology are currently driving a revolution in volume EM, making possible the structural imaging of whole organs and small organisms. In turn, these recent developments in image acquisition have created or stressed bottlenecks in other parts of the pipeline, like sample preparation, image analysis and data management. While the progress in image analysis is stunning due to the advent of automatic segmentation and server-based annotation tools, several challenges remain. Here we discuss recent trends in volume EM, emerging methods for increasing throughput and implications for sample preparation, image analysis and data management.
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Affiliation(s)
- Arent J. Kievits
- Department of Imaging PhysicsDelft University of TechnologyDelftThe Netherlands
| | - Ryan Lane
- Department of Imaging PhysicsDelft University of TechnologyDelftThe Netherlands
| | | | - Jacob P. Hoogenboom
- Department of Imaging PhysicsDelft University of TechnologyDelftThe Netherlands
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