1
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Jacob AM, Lindemann AF, Wagenpfeil J, Geiger S, Layer YC, Salam B, Panahabadi S, Kurt D, Wintergerst MWM, Schildberg FA, Kuetting D, Attenberger UI, Abdullah Z, Böhner AMC. Autofluorescence-based tissue characterization enhances clinical prospects of light-sheet-microscopy. Sci Rep 2024; 14:18033. [PMID: 39098935 PMCID: PMC11298517 DOI: 10.1038/s41598-024-67366-2] [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: 11/28/2023] [Accepted: 07/10/2024] [Indexed: 08/06/2024] Open
Abstract
Light sheet fluorescence microscopy (LSFM) is a transformative imaging method that enables the visualization of non-dissected specimen in real-time 3D. Optical clearing of tissues is essential for LSFM, typically employing toxic solvents. Here, we test the applicability of a non-hazardous alternative, ethyl cinnamate (ECi). We comprehensively characterized autofluorescence (AF) spectra in diverse murine tissues-ocular globe, knee, and liver-employing LSFM under various excitation wavelengths (405-785 nm) to test the feasibility of unstained samples for diagnostic purposes, in particular regarding percutaneous biopsies, as they constitute to most harvested type of tissue sample in clinical routine. Ocular globe structures were best discerned with 640 nm excitation. Knee tissue showed complex variation in AF spectra variation influenced by tissue depth and structure. Liver exhibited a unique AF pattern, likely linked to vasculature. Hepatic tissue samples were used to demonstrate the compatibility of our protocol for antibody staining. Furthermore, we employed machine learning to augment raw images and segment liver structures based on AF spectra. Radiologists rated representative samples transferred to the clinical assessment software. Learning-generated images scored highest in quality. Additionally, we investigated an actual murine biopsy. Our study pioneers the application of AF spectra for tissue characterization and diagnostic potential of optically cleared unstained percutaneous biopsies, contributing to the clinical translation of LSFM.
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Affiliation(s)
- Alice M Jacob
- Institute of Molecular Medicine and Experimental Immunology, Medical Faculty, University Hospital Bonn, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anna F Lindemann
- Institute of Molecular Medicine and Experimental Immunology, Medical Faculty, University Hospital Bonn, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Julia Wagenpfeil
- Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Sergej Geiger
- Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Yannik C Layer
- Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Babak Salam
- Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Sarah Panahabadi
- Clinic for Diagnostic and Interventional Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Darius Kurt
- Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | | | - Frank A Schildberg
- Clinic for Orthopedics and Trauma Surgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Daniel Kuetting
- Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Ulrike I Attenberger
- Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna and General Hospital, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Zeinab Abdullah
- Institute of Molecular Medicine and Experimental Immunology, Medical Faculty, University Hospital Bonn, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Alexander M C Böhner
- Clinics for Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
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2
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Cayrol B, Colella S, Uzest M. Coupling clearing and hybridization chain reaction approaches to investigate gene expression in organs inside intact insect heads. Microsc Res Tech 2024; 87:1926-1932. [PMID: 38558482 DOI: 10.1002/jemt.24561] [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: 12/20/2023] [Revised: 03/01/2024] [Accepted: 03/14/2024] [Indexed: 04/04/2024]
Abstract
Detecting RNA molecules within their natural environment inside intact arthropods has long been challenging, particularly in small organisms covered by a tanned and pigmented cuticle. Here, we have developed a methodology that enables high-resolution analysis of the spatial distribution of transcripts of interest without having to dissect tiny organs or tissues, thereby preserving their integrity. We have combined an in situ amplification approach based on hybridization chain reaction, which enhances the signal-to-noise ratio, and a clearing approach that allows the visualization of inner organs beneath the cuticle. We have implemented this methodology for the first time in Hemiptera, mapping two salivary aphid (Acyrthosiphon pisum) transcripts, the effector c002 and the salivary sheath protein SHP. With a multiplex approach, we could simultaneously detect different mRNAs in mounted pea aphid head-thorax samples and show that they were distributed in distinct secretory cells of salivary glands. RESEARCH HIGHLIGHTS: Combining hybridisation chain reaction and clearing allows the detection of transcripts in intact aphids heads. The transcripts of the two salivary proteins c002 and SHP are compartmentalized in distinct secretory cells of the principal glands.
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Affiliation(s)
- Bastien Cayrol
- PHIM Plant Health Institute, Univ Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France
| | - Stefano Colella
- PHIM Plant Health Institute, Univ Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France
| | - Marilyne Uzest
- PHIM Plant Health Institute, Univ Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France
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3
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Simplifying deep learning to enhance accessibility of large-scale 3D brain imaging analysis. Nat Methods 2024; 21:1151-1152. [PMID: 38649743 DOI: 10.1038/s41592-024-02246-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
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4
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Kaltenecker D, Al-Maskari R, Negwer M, Hoeher L, Kofler F, Zhao S, Todorov M, Rong Z, Paetzold JC, Wiestler B, Piraud M, Rueckert D, Geppert J, Morigny P, Rohm M, Menze BH, Herzig S, Berriel Diaz M, Ertürk A. Virtual reality-empowered deep-learning analysis of brain cells. Nat Methods 2024; 21:1306-1315. [PMID: 38649742 PMCID: PMC11239522 DOI: 10.1038/s41592-024-02245-2] [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: 06/03/2022] [Accepted: 03/12/2024] [Indexed: 04/25/2024]
Abstract
Automated detection of specific cells in three-dimensional datasets such as whole-brain light-sheet image stacks is challenging. Here, we present DELiVR, a virtual reality-trained deep-learning pipeline for detecting c-Fos+ cells as markers for neuronal activity in cleared mouse brains. Virtual reality annotation substantially accelerated training data generation, enabling DELiVR to outperform state-of-the-art cell-segmenting approaches. Our pipeline is available in a user-friendly Docker container that runs with a standalone Fiji plugin. DELiVR features a comprehensive toolkit for data visualization and can be customized to other cell types of interest, as we did here for microglia somata, using Fiji for dataset-specific training. We applied DELiVR to investigate cancer-related brain activity, unveiling an activation pattern that distinguishes weight-stable cancer from cancers associated with weight loss. Overall, DELiVR is a robust deep-learning tool that does not require advanced coding skills to analyze whole-brain imaging data in health and disease.
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Affiliation(s)
- Doris Kaltenecker
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Rami Al-Maskari
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
- Department of Computer Science, TUM Computation, Information and Technology, Technical University of Munich (TUM), Munich, Germany
- Center for Translational Cancer Research of the TUM (TranslaTUM), Munich, Germany
| | - Moritz Negwer
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
| | - Luciano Hoeher
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
| | - Florian Kofler
- Department of Computer Science, TUM Computation, Information and Technology, Technical University of Munich (TUM), Munich, Germany
- Center for Translational Cancer Research of the TUM (TranslaTUM), Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Helmholtz AI, Helmholtz Munich, Neuherberg, Germany
| | - Shan Zhao
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
| | - Mihail Todorov
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
| | - Zhouyi Rong
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
| | - Johannes Christian Paetzold
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
- Center for Translational Cancer Research of the TUM (TranslaTUM), Munich, Germany
- Department of Computing, Imperial College London, London, United Kingdom
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Marie Piraud
- Helmholtz AI, Helmholtz Munich, Neuherberg, Germany
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, United Kingdom
| | - Julia Geppert
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Pauline Morigny
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Maria Rohm
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Bjoern H Menze
- Department of Computer Science, TUM Computation, Information and Technology, Technical University of Munich (TUM), Munich, Germany
- Department for Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Stephan Herzig
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Chair Molecular Metabolic Control, TU Munich, Munich, Germany
| | - Mauricio Berriel Diaz
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany.
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
| | - Ali Ertürk
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany.
- School of Medicine, Koç University, İstanbul, Turkey.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
- Deep Piction, Munich, Germany.
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5
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Zheng J, Wu YC, Phillips EH, Cai X, Wang X, Seung-Young Lee S. Increased Multiplexity in Optical Tissue Clearing-Based Three-Dimensional Immunofluorescence Microscopy of the Tumor Microenvironment by Light-Emitting Diode Photobleaching. J Transl Med 2024; 104:102072. [PMID: 38679160 PMCID: PMC11240282 DOI: 10.1016/j.labinv.2024.102072] [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: 01/24/2024] [Revised: 03/29/2024] [Accepted: 04/19/2024] [Indexed: 05/01/2024] Open
Abstract
Optical tissue clearing and three-dimensional (3D) immunofluorescence (IF) microscopy is transforming imaging of the complex tumor microenvironment (TME). However, current 3D IF microscopy has restricted multiplexity; only 3 or 4 cellular and noncellular TME components can be localized in cleared tumor tissue. Here we report a light-emitting diode (LED) photobleaching method and its application for 3D multiplexed optical mapping of the TME. We built a high-power LED light irradiation device and temperature-controlled chamber for completely bleaching fluorescent signals throughout optically cleared tumor tissues without compromise of tissue and protein antigen integrity. With newly developed tissue mounting and selected region-tracking methods, we established a cyclic workflow involving IF staining, tissue clearing, 3D confocal microscopy, and LED photobleaching. By registering microscope channel images generated through 3 work cycles, we produced 8-plex image data from individual 400 μm-thick tumor macrosections that visualize various vascular, immune, and cancer cells in the same TME at tissue-wide and cellular levels in 3D. Our method was also validated for quantitative 3D spatial analysis of cellular remodeling in the TME after immunotherapy. These results demonstrate that our LED photobleaching system and its workflow offer a novel approach to increase the multiplexing power of 3D IF microscopy for studying tumor heterogeneity and response to therapy.
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Affiliation(s)
- Jingtian Zheng
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois
| | - Yi-Chien Wu
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois
| | - Evan H Phillips
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois
| | - Xiaoying Cai
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois
| | - Xu Wang
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois
| | - Steve Seung-Young Lee
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois; University of Illinois Cancer Center, University of Illinois Chicago, Chicago, Illinois.
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6
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Soumier A, Lio G, Demily C. Current and future applications of light-sheet imaging for identifying molecular and developmental processes in autism spectrum disorders. Mol Psychiatry 2024:10.1038/s41380-024-02487-8. [PMID: 38443634 DOI: 10.1038/s41380-024-02487-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 03/07/2024]
Abstract
Autism spectrum disorder (ASD) is identified by a set of neurodevelopmental divergences that typically affect the social communication domain. ASD is also characterized by heterogeneous cognitive impairments and is associated with cooccurring physical and medical conditions. As behaviors emerge as the brain matures, it is particularly essential to identify any gaps in neurodevelopmental trajectories during early perinatal life. Here, we introduce the potential of light-sheet imaging for studying developmental biology and cross-scale interactions among genetic, cellular, molecular and macroscale levels of circuitry and connectivity. We first report the core principles of light-sheet imaging and the recent progress in studying brain development in preclinical animal models and human organoids. We also present studies using light-sheet imaging to understand the development and function of other organs, such as the skin and gastrointestinal tract. We also provide information on the potential of light-sheet imaging in preclinical drug development. Finally, we speculate on the translational benefits of light-sheet imaging for studying individual brain-body interactions in advancing ASD research and creating personalized interventions.
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Affiliation(s)
- Amelie Soumier
- Le Vinatier Hospital Center, 95 boulevard Pinel, 69675, Bron cedex, France.
- iMIND, Center of Excellence for Autism, 95 boulevard Pinel, 69675, Bron cedex, France.
- Institute of Cognitive Science Marc Jeannerod, CNRS, UMR 5229, 67 boulevard Pinel, 69675, Bron cedex, France.
- University Claude Bernard Lyon 1, 43 boulevard du 11 Novembre 1918, 69622, Villeurbanne cedex, France.
| | - Guillaume Lio
- Le Vinatier Hospital Center, 95 boulevard Pinel, 69675, Bron cedex, France
- iMIND, Center of Excellence for Autism, 95 boulevard Pinel, 69675, Bron cedex, France
- Institute of Cognitive Science Marc Jeannerod, CNRS, UMR 5229, 67 boulevard Pinel, 69675, Bron cedex, France
| | - Caroline Demily
- Le Vinatier Hospital Center, 95 boulevard Pinel, 69675, Bron cedex, France
- iMIND, Center of Excellence for Autism, 95 boulevard Pinel, 69675, Bron cedex, France
- Institute of Cognitive Science Marc Jeannerod, CNRS, UMR 5229, 67 boulevard Pinel, 69675, Bron cedex, France
- University Claude Bernard Lyon 1, 43 boulevard du 11 Novembre 1918, 69622, Villeurbanne cedex, France
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7
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Mitchell B, Mu E, Currey L, Whitehead D, Walters S, Thor S, Kasherman M, Piper M. A protocol for high-resolution episcopic microscopy and 3D volumetric analyses of the adult mouse brain. Neurosci Lett 2024; 824:137675. [PMID: 38355003 DOI: 10.1016/j.neulet.2024.137675] [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: 09/15/2023] [Revised: 01/15/2024] [Accepted: 02/07/2024] [Indexed: 02/16/2024]
Abstract
The rapid evolution of different imaging modalities in the last two decades has enabled the investigation of the role of different genes in development and disease to be studied in a range of model organisms. However, selection of the appropriate imaging technique depends on a number of constraints, including cost, time, image resolution, size of the sample, computational complexity and processing power. Here, we use the adult mouse central nervous system to investigate whether High-Resolution Episcopic Microscopy (HREM) can provide an effective means to study the volume of individual subregions within the brain. We find that HREM can provide precise volume quantification of different structures within the mouse brain, albeit with limitations regarding the time involved for analysis and the necessity of some estimations.
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Affiliation(s)
- Benjamin Mitchell
- The School of Biomedical Sciences, University of Queensland, Brisbane, Queensland 4072, Australia
| | - Erica Mu
- The School of Biomedical Sciences, University of Queensland, Brisbane, Queensland 4072, Australia
| | - Laura Currey
- The School of Biomedical Sciences, University of Queensland, Brisbane, Queensland 4072, Australia
| | - Darryl Whitehead
- The School of Biomedical Sciences, University of Queensland, Brisbane, Queensland 4072, Australia
| | - Shaun Walters
- The School of Biomedical Sciences, University of Queensland, Brisbane, Queensland 4072, Australia
| | - Stefan Thor
- The School of Biomedical Sciences, University of Queensland, Brisbane, Queensland 4072, Australia
| | - Maria Kasherman
- The School of Biomedical Sciences, University of Queensland, Brisbane, Queensland 4072, Australia; Katharina Gaus Light Microscopy Facility, Division of Research, Lowy Cancer Research Center C25, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Michael Piper
- The School of Biomedical Sciences, University of Queensland, Brisbane, Queensland 4072, Australia; Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4072, Australia.
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8
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Thai J, Fuller‐Jackson J, Ivanusic JJ. Using tissue clearing and light sheet fluorescence microscopy for the three-dimensional analysis of sensory and sympathetic nerve endings that innervate bone and dental tissue of mice. J Comp Neurol 2024; 532:e25582. [PMID: 38289188 PMCID: PMC10952626 DOI: 10.1002/cne.25582] [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: 06/20/2023] [Revised: 12/05/2023] [Accepted: 12/30/2023] [Indexed: 02/01/2024]
Abstract
Bone and dental tissues are richly innervated by sensory and sympathetic neurons. However, the characterization of the morphology, molecular phenotype, and distribution of nerves that innervate hard tissue has so far mostly been limited to thin histological sections. This approach does not adequately capture dispersed neuronal projections due to the loss of important structural information during three-dimensional (3D) reconstruction. In this study, we modified the immunolabeling-enabled imaging of solvent-cleared organs (iDISCO/iDISCO+) clearing protocol to image high-resolution neuronal structures in whole femurs and mandibles collected from perfused C57Bl/6 mice. Axons and their nerve terminal endings were immunolabeled with antibodies directed against protein gene product 9.5 (pan-neuronal marker), calcitonin gene-related peptide (peptidergic nociceptor marker), or tyrosine hydroxylase (sympathetic neuron marker). Volume imaging was performed using light sheet fluorescence microscopy. We report high-quality immunolabeling of the axons and nerve terminal endings for both sensory and sympathetic neurons that innervate the mouse femur and mandible. Importantly, we are able to follow their projections through full 3D volumes, highlight how extensive their distribution is, and show regional differences in innervation patterns for different parts of each bone (and surrounding tissues). Mapping the distribution of sensory and sympathetic axons, and their nerve terminal endings, in different bony compartments may be important in further elucidating their roles in health and disease.
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Affiliation(s)
- Jenny Thai
- Department of Anatomy and PhysiologyUniversity of MelbourneParkvilleVictoriaAustralia
| | | | - Jason J. Ivanusic
- Department of Anatomy and PhysiologyUniversity of MelbourneParkvilleVictoriaAustralia
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9
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Flinn H, Cruz-Pineda L, Montier L, Horner PJ, Villapol S. iDISCO Tissue Clearing Whole-Brain and Light Sheet Microscopy for High-Throughput Imaging in a Mouse Model of Traumatic Brain Injury. Methods Mol Biol 2024; 2761:589-597. [PMID: 38427263 DOI: 10.1007/978-1-0716-3662-6_39] [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] [Indexed: 03/02/2024]
Abstract
Immunolabeling-enabled imaging of solvent-cleared organs (iDISCO) (Renier N, Wu Z, Simon DJ, Yang J, Ariel P, Tessier-Lavigne M, Cell 159:896-910, 2014) aims to match the refractive index (RI) of tissue to the surrounding medium, thereby facilitating three-dimensional (3D) imaging and quantification of cellular points and tissue structures. Once cleared, transparent tissue samples allow for rapid imaging with no mechanical sectioning. This imaging technology enables us to visualize brain tissue in situ and quantify the morphology and extent of glial cell branches or neuronal processes extending from the epicenter of a traumatic brain injury (TBI). In this way, we can more accurately assess and quantify the damaging consequences of TBI not only in the impact region but also in the extended pericontusional regions.
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Affiliation(s)
- Hannah Flinn
- Department of Neurosurgery, Center for Neuroregeneration, Houston Methodist Academic Institute, Houston, TX, USA
| | - Leonardo Cruz-Pineda
- Department of Neurosurgery, Center for Neuroregeneration, Houston Methodist Academic Institute, Houston, TX, USA
| | - Laura Montier
- Department of Neurosurgery, Center for Neuroregeneration, Houston Methodist Academic Institute, Houston, TX, USA
| | - Philip J Horner
- Department of Neurosurgery, Center for Neuroregeneration, Houston Methodist Academic Institute, Houston, TX, USA
| | - Sonia Villapol
- Department of Neurosurgery, Center for Neuroregeneration, Houston Methodist Academic Institute, Houston, TX, USA.
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10
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Patharapankal EJ, Ajiboye AL, Mattern C, Trivedi V. Nose-to-Brain (N2B) Delivery: An Alternative Route for the Delivery of Biologics in the Management and Treatment of Central Nervous System Disorders. Pharmaceutics 2023; 16:66. [PMID: 38258077 PMCID: PMC10818989 DOI: 10.3390/pharmaceutics16010066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/21/2023] [Accepted: 12/26/2023] [Indexed: 01/24/2024] Open
Abstract
In recent years, there have been a growing number of small and large molecules that could be used to treat diseases of the central nervous system (CNS). Nose-to-brain delivery can be a potential option for the direct transport of molecules from the nasal cavity to different brain areas. This review aims to provide a compilation of current approaches regarding drug delivery to the CNS via the nose, with a focus on biologics. The review also includes a discussion on the key benefits of nasal delivery as a promising alternative route for drug administration and the involved pathways or mechanisms. This article reviews how the application of various auxiliary agents, such as permeation enhancers, mucolytics, in situ gelling/mucoadhesive agents, enzyme inhibitors, and polymeric and lipid-based systems, can promote the delivery of large molecules in the CNS. The article also includes a discussion on the current state of intranasal formulation development and summarizes the biologics currently in clinical trials. It was noted that significant progress has been made in this field, and these are currently being applied to successfully transport large molecules to the CNS via the nose. However, a deep mechanistic understanding of this route, along with the intimate knowledge of various excipients and their interactions with the drug and nasal physiology, is still necessary to bring us one step closer to developing effective formulations for nasal-brain drug delivery.
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Affiliation(s)
- Elizabeth J. Patharapankal
- Medway School of Pharmacy, University of Kent, Central Avenue, Chatham Maritime, Canterbury ME4 4TB, UK; (E.J.P.); (A.L.A.)
| | - Adejumoke Lara Ajiboye
- Medway School of Pharmacy, University of Kent, Central Avenue, Chatham Maritime, Canterbury ME4 4TB, UK; (E.J.P.); (A.L.A.)
| | | | - Vivek Trivedi
- Medway School of Pharmacy, University of Kent, Central Avenue, Chatham Maritime, Canterbury ME4 4TB, UK; (E.J.P.); (A.L.A.)
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11
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Murakami E, Nakamori M, Nakatani K, Shibata T, Tainaka K. Intracerebral Distribution of CAG Repeat-Binding Small Molecule Visualized by Whole-Brain Imaging. Bioconjug Chem 2023; 34:2187-2193. [PMID: 37948852 DOI: 10.1021/acs.bioconjchem.3c00470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Understanding the pharmacokinetics of drug candidates of interest in the brain and evaluating drug delivery to the brain are important for developing drugs targeting the brain. Previously, we demonstrated that a CAG repeat-binding small molecule, naphthyridine-azaquinolone (NA), resulted in repeat contraction in mouse models of dentatorubral-pallidoluysian atrophy and Huntington's disease caused by aberrant expansion of CAG repeats. However, the intracerebral distribution and drug deliverability of NA remain unclear. Here, we report three-dimensional whole-brain imaging of an externally administered small molecule using tissue clearing and light sheet fluorescence microscopy (LSFM). We designed and synthesized an Alexa594-labeled NA derivative with a primary amine for whole-brain imaging (NA-Alexa594-NH2), revealing the intracerebral distribution of NA-Alexa594-NH2 after intraparenchymal and intracerebroventricular administrations by whole-brain imaging combined with tissue clearing and LSFM. We also clarified that intranasally administered NA-Alexa594-NH2 was delivered into the brain via multiple nose-to-brain pathways by tracking the time-dependent change in the intracerebral distribution. Whole-brain imaging of small molecules by tissue clearing and LSFM is useful for elucidating not only the intracerebral distribution but also the drug delivery pathways into the brain.
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Affiliation(s)
- Eitaro Murakami
- Department of Regulatory Bioorganic Chemistry, SANKEN (The Institute of Scientific and Industrial Research), Osaka University, Osaka 567-0047, Japan
| | - Masayuki Nakamori
- Department of Neurology, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Kazuhiko Nakatani
- Department of Regulatory Bioorganic Chemistry, SANKEN (The Institute of Scientific and Industrial Research), Osaka University, Osaka 567-0047, Japan
| | - Tomonori Shibata
- Department of Regulatory Bioorganic Chemistry, SANKEN (The Institute of Scientific and Industrial Research), Osaka University, Osaka 567-0047, Japan
| | - Kazuki Tainaka
- Department of System Pathology for Neurological Disorders, Center for Bioresources, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
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12
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Zheng J, Wu YC, Phillips EH, Wang X, Lee SSY. Increased multiplexity in optical tissue clearing-based 3D immunofluorescence microscopy of the tumor microenvironment by LED photobleaching. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.29.569277. [PMID: 38076864 PMCID: PMC10705380 DOI: 10.1101/2023.11.29.569277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
Optical tissue clearing and three-dimensional (3D) immunofluorescence (IF) microscopy have been transforming imaging of the complex tumor microenvironment (TME). However, current 3D IF microscopy has restricted multiplexity; only three or four cellular and non-cellular TME components can be localized in a cleared tumor tissue. Here we report a LED photobleaching method and its application for 3D multiplexed optical mapping of the TME. We built a high-power LED light irradiation device and temperature-controlled chamber for completely bleaching fluorescent signals throughout optically cleared tumor tissues without compromise of tissue and protein antigen integrity. With newly developed tissue mounting and selected region-tracking methods, we established a cyclic workflow involving IF staining, tissue clearing, 3D confocal microscopy, and LED photobleaching. By registering microscope channel images generated through three work cycles, we produced 8-plex image data from individual 400 μm-thick tumor macrosections that visualize various vascular, immune, and cancer cells in the same TME at tissue-wide and cellular levels in 3D. Our method was also validated for quantitative 3D spatial analysis of cellular remodeling in the TME after immunotherapy. These results demonstrate that our LED photobleaching system and its workflow offer a novel approach to increase the multiplexing power of 3D IF microscopy for studying tumor heterogeneity and response to therapy.
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13
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Tüshaus J, Sakhteman A, Lechner S, The M, Mucha E, Krisp C, Schlegel J, Delbridge C, Kuster B. A region-resolved proteomic map of the human brain enabled by high-throughput proteomics. EMBO J 2023; 42:e114665. [PMID: 37916885 PMCID: PMC10690467 DOI: 10.15252/embj.2023114665] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 11/03/2023] Open
Abstract
Substantial efforts are underway to deepen our understanding of human brain morphology, structure, and function using high-resolution imaging as well as high-content molecular profiling technologies. The current work adds to these approaches by providing a comprehensive and quantitative protein expression map of 13 anatomically distinct brain regions covering more than 11,000 proteins. This was enabled by the optimization, characterization, and implementation of a high-sensitivity and high-throughput microflow liquid chromatography timsTOF tandem mass spectrometry system (LC-MS/MS) capable of analyzing more than 2,000 consecutive samples prepared from formalin-fixed paraffin embedded (FFPE) material. Analysis of this proteomic resource highlighted brain region-enriched protein expression patterns and functional protein classes, protein localization differences between brain regions and individual markers for specific areas. To facilitate access to and ease further mining of the data by the scientific community, all data can be explored online in a purpose-built R Shiny app (https://brain-region-atlas.proteomics.ls.tum.de).
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Affiliation(s)
- Johanna Tüshaus
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life SciencesTechnical University of MunichMunichGermany
| | - Amirhossein Sakhteman
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life SciencesTechnical University of MunichMunichGermany
| | - Severin Lechner
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life SciencesTechnical University of MunichMunichGermany
| | - Matthew The
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life SciencesTechnical University of MunichMunichGermany
| | - Eike Mucha
- Bruker Daltonics GmbH & Co. KGBremenGermany
| | | | - Jürgen Schlegel
- Department of Neuropathology, Klinikum Rechts der ISAR, School of MedicineTechnical University MunichMunichGermany
| | - Claire Delbridge
- Department of Neuropathology, Klinikum Rechts der ISAR, School of MedicineTechnical University MunichMunichGermany
| | - Bernhard Kuster
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life SciencesTechnical University of MunichMunichGermany
- German Cancer Consortium (DKTK), Munich SiteHeidelbergGermany
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14
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Delage E, Guilbert T, Yates F. Successful 3D imaging of cleared biological samples with light sheet fluorescence microscopy. J Cell Biol 2023; 222:e202307143. [PMID: 37847528 PMCID: PMC10583220 DOI: 10.1083/jcb.202307143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/22/2023] [Accepted: 09/22/2023] [Indexed: 10/18/2023] Open
Abstract
In parallel with the development of tissue-clearing methods, over the last decade, light sheet fluorescence microscopy has contributed to major advances in various fields, such as cell and developmental biology and neuroscience. While biologists are increasingly integrating three-dimensional imaging into their research projects, their experience with the technique is not always up to their expectations. In response to a survey of specific challenges associated with sample clearing and labeling, image acquisition, and data analysis, we have critically assessed the recent literature to characterize the difficulties inherent to light sheet fluorescence microscopy applied to cleared biological samples and to propose solutions to overcome them. This review aims to provide biologists interested in light sheet fluorescence microscopy with a primer for the development of their imaging pipeline, from sample preparation to image analysis. Importantly, we believe that issues could be avoided with better anticipation of image analysis requirements, which should be kept in mind while optimizing sample preparation and acquisition parameters.
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Affiliation(s)
- Elise Delage
- CellTechs Laboratory, SupBiotech, Villejuif, France
- Service d’Etude des Prions et des Infections Atypiques, Institut François Jacob, Commissariat à l’Energie Atomique et aux Energies Alternatives, Université Paris Saclay, Fontenay-aux-Roses, France
| | - Thomas Guilbert
- Institut Cochin, Institut national de la santé et de la recherche médicale (U1016), Centre National de la Recherche Scientifique (UMR 8104), Université de Paris (UMR-S1016), Paris, France
| | - Frank Yates
- CellTechs Laboratory, SupBiotech, Villejuif, France
- Service d’Etude des Prions et des Infections Atypiques, Institut François Jacob, Commissariat à l’Energie Atomique et aux Energies Alternatives, Université Paris Saclay, Fontenay-aux-Roses, France
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15
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Dennis EJ, Bibawi P, Dhanerawala ZM, Lynch LA, Wang SSH, Brody CD. Princeton RAtlas: A Common Coordinate Framework for Fully cleared, Whole Rattus norvegicus Brains. Bio Protoc 2023; 13:e4854. [PMID: 37900100 PMCID: PMC10603261 DOI: 10.21769/bioprotoc.4854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 08/11/2023] [Accepted: 08/16/2023] [Indexed: 10/31/2023] Open
Abstract
Whole-brain clearing and imaging methods are becoming more common in mice but have yet to become standard in rats, at least partially due to inadequate clearing from most available protocols. Here, we build on recent mouse-tissue clearing and light-sheet imaging methods and develop and adapt them to rats. We first used cleared rat brains to create an open-source, 3D rat atlas at 25 μm resolution. We then registered and imported other existing labeled volumes and made all of the code and data available for the community (https://github.com/emilyjanedennis/PRA) to further enable modern, whole-brain neuroscience in the rat. Key features • This protocol adapts iDISCO (Renier et al., 2014) and uDISCO (Pan et al., 2016) tissue-clearing techniques to consistently clear rat brains. • This protocol also decreases the number of working hours per day to fit in an 8 h workday. Graphical overview.
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Affiliation(s)
- Emily Jane Dennis
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA
- Howard Hughes Medical Institute, Princeton University, Princeton, USA
| | - Peter Bibawi
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA
- Neurology Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Zahra M. Dhanerawala
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Laura A. Lynch
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA
| | - Samuel S.-H. Wang
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA
| | - Carlos D. Brody
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA
- Howard Hughes Medical Institute, Princeton University, Princeton, USA
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16
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Muza PM, Pérez M, Noy S, Kurosawa M, Katsouri L, Tybulewicz VLJ, Fisher EMC, West SJ. Affordable optical clearing and immunolabelling in mouse brain slices. BMC Res Notes 2023; 16:246. [PMID: 37777793 PMCID: PMC10543858 DOI: 10.1186/s13104-023-06511-y] [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: 08/23/2022] [Accepted: 09/15/2023] [Indexed: 10/02/2023] Open
Abstract
Traditional histological analysis is conducted on thin tissue sections, limiting the data capture from large tissue volumes to 2D profiles, and requiring stereological methods for 3D assessment. Recent advances in microscopical and tissue clearing methods have facilitated 3D reconstructions of tissue structure. However, staining of large tissue blocks remains a challenge, often requiring specialised and expensive equipment to clear and immunolabel tissue. Here, we present the Affordable Brain Slice Optical Clearing (ABSOC) method: a modified iDISCO protocol which enables clearing and immunolabeling of mouse brain slices up to 1 mm thick using inexpensive reagents and equipment, with no intensive expert training required. We illustrate the use of ABSOC in 1 mm C57BL/6J mouse coronal brain slices sectioned through the dorsal hippocampus and immunolabelled with an anti-calretinin antibody. The ABSOC method can be readily used for histological studies of mouse brain in order to move from the use of very thin tissue sections to large volumes of tissue - giving more representative analysis of biological samples, without the need for sampling of small regions only.
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Affiliation(s)
- Phillip M Muza
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
| | - Marta Pérez
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
| | - Suzanna Noy
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
| | - Miyu Kurosawa
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
| | - Loukia Katsouri
- Sainsbury Wellcome Centre, University College London, 25 Howland Street, London, W1T 4JG, UK
| | | | - Elizabeth M C Fisher
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
| | - Steven J West
- Sainsbury Wellcome Centre, University College London, 25 Howland Street, London, W1T 4JG, UK.
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17
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Hong JY, Kim H, Yeo C, Lee J, Jeon WJ, Lee YJ, Ha IH. Epidural Injection of Harpagoside for the Recovery of Rats with Lumbar Spinal Stenosis. Cells 2023; 12:2281. [PMID: 37759506 PMCID: PMC10526993 DOI: 10.3390/cells12182281] [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: 08/08/2023] [Revised: 09/12/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
Epidural administration is the leading therapeutic option for the management of pain associated with lumbar spinal stenosis (LSS), which is characterized by compression of the nerve root due to narrowing of the spinal canal. Corticosteroids are effective in alleviating LSS-related pain but can lead to complications with long-term use. Recent studies have focused on identifying promising medications administered epidurally to affected spinal regions. In this study, we aimed to investigate the effectiveness of harpagoside (HAS) as an epidural medication in rats with LSS. HAS at various concentrations was effective for neuroprotection against ferrous sulfate damage and consequent promotion of axonal outgrowth in primary spinal cord neurons. When two concentrations of HAS (100 and 200 μg/kg) were administered to the rat LSS model via the epidural space once a day for 4 weeks, the inflammatory responses around the silicone block used for LSS were substantially reduced. Consistently, pain-related factors were significantly suppressed by the epidural administration of HAS. The motor functions of rats with LSS significantly improved. These findings suggest that targeted delivery of HAS directly to the affected area via epidural injection holds promise as a potential treatment option for the recovery of patients with LSS.
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Affiliation(s)
| | | | | | | | | | | | - In-Hyuk Ha
- Jaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul 135-896, Republic of Korea; (J.Y.H.); (H.K.); (C.Y.); (J.L.); (W.-J.J.); (Y.J.L.)
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18
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Yip KYT, Gräff J. Tissue clearing applications in memory engram research. Front Behav Neurosci 2023; 17:1181818. [PMID: 37700912 PMCID: PMC10493294 DOI: 10.3389/fnbeh.2023.1181818] [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: 03/07/2023] [Accepted: 05/26/2023] [Indexed: 09/14/2023] Open
Abstract
A memory engram is thought to be the physical substrate of the memory trace within the brain, which is generally depicted as a neuronal ensemble activated by learning to fire together during encoding and retrieval. It has been postulated that engram cell ensembles are functionally interconnected across multiple brain regions to store a single memory as an "engram complex", but visualizing this engram complex across the whole brain has for long been hindered by technical limitations. With the recent development of tissue clearing techniques, advanced light-sheet microscopy, and automated 3D image analysis, it has now become possible to generate a brain-wide map of engram cells and thereby to visualize the "engram complex". In this review, we first provide a comprehensive summary of brain-wide engram mapping studies to date. We then compile a guide on implementing the optimal tissue clearing technique for engram tagging approaches, paying particular attention to visualize engram reactivation as a critical mnemonic property, for which whole-brain multiplexed immunostaining becomes a challenging prerequisite. Finally, we highlight the potential of tissue clearing to simultaneously shed light on both the circuit connectivity and molecular underpinnings of engram cells in a single snapshot. In doing so, novel brain regions and circuits can be identified for subsequent functional manipulation, thus providing an opportunity to robustly examine the "engram complex" underlying memory storage.
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Affiliation(s)
| | - Johannes Gräff
- Laboratory of Neuroepigenetics, Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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19
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Ushakov DS, Finke S. Tissue optical clearing and 3D imaging of virus infections. Adv Virus Res 2023; 116:89-121. [PMID: 37524483 DOI: 10.1016/bs.aivir.2023.06.003] [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] [Indexed: 08/02/2023]
Abstract
Imaging pathogens within 3D environment of biological tissues provides spatial information about their localization and interactions with the host. Technological advances in fluorescence microscopy and 3D image analysis now permit visualization and quantification of pathogens directly in large tissue volumes and in great detail. In recent years large volume imaging became an important tool in virology research helping to understand the properties of viruses and the host response to infection. In this chapter we give a review of fluorescence microscopy modalities and tissue optical clearing methods used for large volume tissue imaging. A summary of recent applications for virus research is provided with particular emphasis on studies using light sheet fluorescence microscopy. We describe the challenges and approaches for volumetric image analysis. Practical examples of volumetric imaging implemented in virology laboratories and addressing specialized research questions, such as virus tropism and immune host response are described. We conclude with an overview of the emerging technologies and their potential for virus research.
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Affiliation(s)
- Dmitry S Ushakov
- Institute for Molecular Virology and Cell Biology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany.
| | - Stefan Finke
- Institute for Molecular Virology and Cell Biology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
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20
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Liu JTC, Glaser AK, Poudel C, Vaughan JC. Nondestructive 3D Pathology with Light-Sheet Fluorescence Microscopy for Translational Research and Clinical Assays. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2023; 16:231-252. [PMID: 36854208 DOI: 10.1146/annurev-anchem-091222-092734] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In recent years, there has been a revived appreciation for the importance of spatial context and morphological phenotypes for both understanding disease progression and guiding treatment decisions. Compared with conventional 2D histopathology, which is the current gold standard of medical diagnostics, nondestructive 3D pathology offers researchers and clinicians the ability to visualize orders of magnitude more tissue within their natural volumetric context. This has been enabled by rapid advances in tissue-preparation methods, high-throughput 3D microscopy instrumentation, and computational tools for processing these massive feature-rich data sets. Here, we provide a brief overview of many of these technical advances along with remaining challenges to be overcome. We also speculate on the future of 3D pathology as applied in translational investigations, preclinical drug development, and clinical decision-support assays.
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Affiliation(s)
- Jonathan T C Liu
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA;
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Adam K Glaser
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA;
- Allen Institute for Neural Dynamics, Seattle, Washington, USA
| | - Chetan Poudel
- Department of Chemistry, University of Washington, Seattle, Washington, USA
| | - Joshua C Vaughan
- Department of Chemistry, University of Washington, Seattle, Washington, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, Washington, USA
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21
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Gu Q, Sarkar S, Raymick B, Kanungo J. Combining tissue clearing and Fluoro-Jade C labeling for neurotoxicity assessments. Exp Biol Med (Maywood) 2023; 248:605-611. [PMID: 37208909 PMCID: PMC10350804 DOI: 10.1177/15353702231165009] [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: 02/13/2023] [Accepted: 03/02/2023] [Indexed: 05/21/2023] Open
Abstract
Tissue clearing refers to laboratory methods that make tissue transparent by chemical means. This approach allows the labeling, visualization, and analysis of specific targets without cutting the tissue into sections, thereby maintaining three-dimensional architecture. More than two dozen tissue-clearing methods have been developed by different research teams to date. While tissue clearing has been successfully applied in several studies concerning basic science or diseases, little is known about the utilization of tissue clearing for neurotoxicity evaluation. In this study, several tissue-clearing methods were combined with Fluoro-Jade C (FJ-C), a standard marker of neurodegeneration. The results suggest that some but not all tissue-clearing media are compatible with the FJ-C fluorophore. By utilizing a neurotoxicity animal model, the results further suggest that FJ-C labeling can be combined with tissue clearing for neurotoxicity assessments. This approach has the potential to be expanded further by combining multicolor labeling of molecular targets involved in the development and/or mechanisms of neurotoxicity and neurodegeneration.
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Affiliation(s)
- Qiang Gu
- Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA
| | - Sumit Sarkar
- Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA
| | - Bryan Raymick
- Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA
| | - Jyotshna Kanungo
- Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA
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22
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Spangenberg P, Hagemann N, Squire A, Förster N, Krauß SD, Qi Y, Mohamud Yusuf A, Wang J, Grüneboom A, Kowitz L, Korste S, Totzeck M, Cibir Z, Tuz AA, Singh V, Siemes D, Struensee L, Engel DR, Ludewig P, Martins Nascentes Melo L, Helfrich I, Chen J, Gunzer M, Hermann DM, Mosig A. Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs. CELL REPORTS METHODS 2023; 3:100436. [PMID: 37056368 PMCID: PMC10088239 DOI: 10.1016/j.crmeth.2023.100436] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 11/25/2022] [Accepted: 03/01/2023] [Indexed: 03/19/2023]
Abstract
Light-sheet fluorescence microscopy (LSFM) can produce high-resolution tomograms of tissue vasculature with high accuracy. However, data processing and analysis is laborious due to the size of the datasets. Here, we introduce VesselExpress, an automated software that reliably analyzes six characteristic vascular network parameters including vessel diameter in LSFM data on average computing hardware. VesselExpress is ∼100 times faster than other existing vessel analysis tools, requires no user interaction, and integrates batch processing and parallelization. Employing an innovative dual Frangi filter approach, we show that obesity induces a large-scale modulation of brain vasculature in mice and that seven other major organs differ strongly in their 3D vascular makeup. Hence, VesselExpress transforms LSFM from an observational to an analytical working tool.
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Affiliation(s)
- Philippa Spangenberg
- Department of Immunodynamics, Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
- Center for Protein Diagnostics (ProDi), Ruhr-University Bochum, Bochum, Germany
| | - Nina Hagemann
- Department of Neurology, University Hospital Essen, Essen, Germany
| | - Anthony Squire
- Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
| | - Nils Förster
- Center for Protein Diagnostics (ProDi), Ruhr-University Bochum, Bochum, Germany
- Bioinformatics Group, Faculty for Biology and Biotechnology, Ruhr-University Bochum, Germany
| | - Sascha D. Krauß
- Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
| | - Yachao Qi
- Department of Neurology, University Hospital Essen, Essen, Germany
| | | | - Jing Wang
- Department of Neurology, University Hospital Essen, Essen, Germany
| | - Anika Grüneboom
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany
| | - Lennart Kowitz
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany
| | - Sebastian Korste
- Department of Cardiology and Vascular Medicine, University Hospital Essen, Essen, Germany
| | - Matthias Totzeck
- Department of Cardiology and Vascular Medicine, University Hospital Essen, Essen, Germany
| | - Zülal Cibir
- Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
| | - Ali Ata Tuz
- Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
| | - Vikramjeet Singh
- Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
| | - Devon Siemes
- Department of Immunodynamics, Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
| | - Laura Struensee
- Center for Protein Diagnostics (ProDi), Ruhr-University Bochum, Bochum, Germany
| | - Daniel R. Engel
- Department of Immunodynamics, Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
| | - Peter Ludewig
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Iris Helfrich
- Clinic of Dermatology, University Hospital Essen, Essen, Germany
| | - Jianxu Chen
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany
| | - Matthias Gunzer
- Institute for Experimental Immunology and Imaging, University Hospital Essen, Essen, Germany
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany
| | - Dirk M. Hermann
- Department of Neurology, University Hospital Essen, Essen, Germany
| | - Axel Mosig
- Center for Protein Diagnostics (ProDi), Ruhr-University Bochum, Bochum, Germany
- Bioinformatics Group, Faculty for Biology and Biotechnology, Ruhr-University Bochum, Germany
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23
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Ngo TB, DeStefano S, Liu J, Su Y, Shroff H, Vishwasrao HD, Sadtler K. Label-free cleared tissue microscopy and machine learning for 3D histopathology of biomaterial implants. J Biomed Mater Res A 2023; 111:840-850. [PMID: 36861434 DOI: 10.1002/jbm.a.37515] [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: 11/08/2022] [Revised: 01/18/2023] [Accepted: 02/08/2023] [Indexed: 03/03/2023]
Abstract
Tissue clearing of whole intact organs has enhanced imaging by enabling the exploration of tissue structure at a subcellular level in three-dimensional space. Although clearing and imaging of the whole organ have been used to study tissue biology, the microenvironment in which cells evolve to adapt to biomaterial implants or allografts in the body is poorly understood. Obtaining high-resolution information from complex cell-biomaterial interactions with volumetric landscapes represents a key challenge in the fields of biomaterials and regenerative medicine. To provide a new approach to examine how tissue responds to biomaterial implants, we apply cleared tissue light-sheet microscopy and three-dimensional reconstruction to utilize the wealth of autofluorescence information for visualizing and contrasting anatomical structures. This study demonstrates the adaptability of the clearing and imaging technique to provide sub-cellular resolution (0.6 μm isotropic) 3D maps of various tissue types, using samples from fully intact peritoneal organs to volumetric muscle loss injury specimens. Specifically, in the volumetric muscle loss injury model, we provide 3D visualization of the implanted extracellular matrix biomaterial in the wound bed of the quadricep muscle groups and further apply computational-driven image classification to analyze the autofluorescence spectrum at multiple emission wavelengths to categorize tissue types at the injured site interacting with the biomaterial scaffolds.
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Affiliation(s)
- Tran B Ngo
- Section on Immunoengineering, Bioengineering and Technology Acceleration Center, National Institute for Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA
| | - Sabrina DeStefano
- Section on Immunoengineering, Bioengineering and Technology Acceleration Center, National Institute for Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA
| | - Jiamin Liu
- Advanced Imaging and Microscopy Resource, National Institute for Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA
| | - Yijun Su
- Advanced Imaging and Microscopy Resource, National Institute for Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA
| | - Hari Shroff
- Advanced Imaging and Microscopy Resource, National Institute for Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA
| | - Harshad D Vishwasrao
- Advanced Imaging and Microscopy Resource, National Institute for Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA
| | - Kaitlyn Sadtler
- Section on Immunoengineering, Bioengineering and Technology Acceleration Center, National Institute for Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA
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Kiemen AL, Damanakis AI, Braxton AM, He J, Laheru D, Fishman EK, Chames P, Pérez CA, Wu PH, Wirtz D, Wood LD, Hruban RH. Tissue clearing and 3D reconstruction of digitized, serially sectioned slides provide novel insights into pancreatic cancer. MED 2023; 4:75-91. [PMID: 36773599 PMCID: PMC9922376 DOI: 10.1016/j.medj.2022.11.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 10/06/2022] [Accepted: 11/23/2022] [Indexed: 01/26/2023]
Abstract
Pancreatic cancer is currently the third leading cause of cancer death in the United States. The clinical hallmarks of this disease include abdominal pain that radiates to the back, the presence of a hypoenhancing intrapancreatic lesion on imaging, and widespread liver metastases. Technologies such as tissue clearing and three-dimensional (3D) reconstruction of digitized serially sectioned hematoxylin and eosin-stained slides can be used to visualize large (up to 2- to 3-centimeter cube) tissues at cellular resolution. When applied to human pancreatic cancers, these 3D visualization techniques have provided novel insights into the basis of a number of the clinical characteristics of this disease. Here, we describe the clinical features of pancreatic cancer, review techniques for clearing and the 3D reconstruction of digitized microscope slides, and provide examples that illustrate how 3D visualization of human pancreatic cancer at the microscopic level has revealed features not apparent in 2D microscopy and, in so doing, has closed the gap between bench and bedside. Compared with animal models and 2D microscopy, studies of human tissues in 3D can reveal the difference between what can happen and what does happen in human cancers.
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Affiliation(s)
- Ashley L Kiemen
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Chemical & Biomolecular Engineering, The Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218, USA
| | - Alexander Ioannis Damanakis
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of General, Visceral, Cancer and Transplant Surgery, University Hospital of Cologne, Cologne, Germany
| | - Alicia M Braxton
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Jin He
- Department of Surgery, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Daniel Laheru
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Elliot K Fishman
- Department of Radiology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Patrick Chames
- Antibody Therapeutics and Immunotargeting Team, Aix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France
| | - Cristina Almagro Pérez
- Department of Chemical & Biomolecular Engineering, The Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218, USA
| | - Pei-Hsun Wu
- Department of Chemical & Biomolecular Engineering, The Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218, USA
| | - Denis Wirtz
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Chemical & Biomolecular Engineering, The Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218, USA
| | - Laura D Wood
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
| | - Ralph H Hruban
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
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25
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Merlini M, Sozmen EG, Subramanian KS, Nana AL, Seeley WW, Akassoglou K. Three-Dimensional Imaging of Fibrinogen and Neurovascular Alterations in Alzheimer's Disease. Methods Mol Biol 2023; 2561:87-101. [PMID: 36399266 PMCID: PMC11243589 DOI: 10.1007/978-1-0716-2655-9_5] [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] [Indexed: 11/19/2022]
Abstract
Cerebrovascular dysfunction is a hallmark of Alzheimer's disease (AD) that is linked to cognitive decline. However, blood-brain barrier (BBB) disruption in AD is focal and requires sensitive methods to detect extravasated blood proteins and vasculature in large brain volumes. Fibrinogen, a blood coagulation factor, is deposited in AD brains at sites of BBB disruption and cerebrovascular damage. This chapter presents the methodology of fibrinogen immunolabeling-enabled three-dimensional (3D) imaging of solvent-cleared organs (iDISCO) which, when combined with immunolabeling of amyloid β (Aβ) and vasculature, enables sensitive detection of focal BBB vascular abnormalities, and reveals the spatial distribution of Aβ plaques and fibrin deposits, in large tissue volumes from cleared human brains. Overall, fibrinogen iDISCO enables the investigation of neurovascular and neuroimmune mechanisms driving neurodegeneration in disease.
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Affiliation(s)
- Mario Merlini
- Gladstone UCSF Center for Neurovascular Brain Immunology, San Francisco, CA, USA
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA
| | - Elif G Sozmen
- Gladstone UCSF Center for Neurovascular Brain Immunology, San Francisco, CA, USA
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA
- Department of Neurology, Weill Institute of Neurosciences, University of California, San Francisco, CA, USA
| | | | - Alissa L Nana
- Department of Neurology, Weill Institute of Neurosciences, University of California, San Francisco, CA, USA
| | - William W Seeley
- Department of Neurology, Weill Institute of Neurosciences, University of California, San Francisco, CA, USA
| | - Katerina Akassoglou
- Gladstone UCSF Center for Neurovascular Brain Immunology, San Francisco, CA, USA.
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA.
- Department of Neurology, Weill Institute of Neurosciences, University of California, San Francisco, CA, USA.
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26
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Soygur B, Foecke MH, Gaylord EA, Fries A, Li J, Arora R, Laird DJ. A Roadmap for Three-Dimensional Analysis of the Intact Mouse Ovary. Methods Mol Biol 2023; 2677:203-219. [PMID: 37464244 PMCID: PMC10796149 DOI: 10.1007/978-1-0716-3259-8_12] [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] [Indexed: 07/20/2023]
Abstract
Recent advances in tissue clearing methodologies have enabled three-dimensional (3D) visualization of the ovary and, consequently, in-depth exploration of the dynamic changes occurring at the single-cell level. Here we describe methods for whole-mount immunofluorescence, clearing, imaging, and analysis of whole ovarian tissue in 3D throughout murine development and aging.
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Affiliation(s)
- Bikem Soygur
- Department of Obstetrics, Gynecology and Reproductive Science, Center for Reproductive Sciences, Eli and Edythe Broad Center for Regeneration Medicine and Stem Cell Research, UCSF, San Francisco, CA, USA
| | - Mariko H Foecke
- Department of Obstetrics, Gynecology and Reproductive Science, Center for Reproductive Sciences, Eli and Edythe Broad Center for Regeneration Medicine and Stem Cell Research, UCSF, San Francisco, CA, USA
| | - Eliza A Gaylord
- Department of Obstetrics, Gynecology and Reproductive Science, Center for Reproductive Sciences, Eli and Edythe Broad Center for Regeneration Medicine and Stem Cell Research, UCSF, San Francisco, CA, USA
| | - Adam Fries
- Genomics and Cell Characterization Core Facility, Institute of Molecular Biology, Eugene, OR, USA
| | - Jing Li
- Department of Obstetrics, Gynecology and Reproductive Science, Center for Reproductive Sciences, Eli and Edythe Broad Center for Regeneration Medicine and Stem Cell Research, UCSF, San Francisco, CA, USA
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ripla Arora
- Institute for Quantitative Health Science and Engineering, Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University, East Lansing, MI, USA
| | - Diana J Laird
- Department of Obstetrics, Gynecology and Reproductive Science, Center for Reproductive Sciences, Eli and Edythe Broad Center for Regeneration Medicine and Stem Cell Research, UCSF, San Francisco, CA, USA.
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27
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Lu T, Shinozaki M, Nagoshi N, Nakamura M, Okano H. Long Preservation of AAV-Transduced Fluorescence by a Modified Organic Solvent-Based Clearing Method. Int J Mol Sci 2022; 23:ijms23179637. [PMID: 36077034 PMCID: PMC9455935 DOI: 10.3390/ijms23179637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/17/2022] [Accepted: 08/23/2022] [Indexed: 11/26/2022] Open
Abstract
The development of tissue clearing technologies allows 3D imaging of whole tissues and organs, especially in studies of the central nervous system innervated throughout the body. Although the three-dimensional imaging of solvent-cleared organs (3DISCO) method provides a powerful clearing capacity and high transparency, the rapid quenching of endogenous fluorescence and peroxide removal process decreases its practicability. This study provides a modified method named tDISCO to solve these limitations. The tDISCO protocol can preserve AAV-transduced endogenous EGFP fluorescence for months and achieve high transparency in a fast and simple clearing process. In addition to the brain, tDISCO was applied to other organs and even hard bone tissue. tDISCO also enabled us to visualize the long projection neurons and axons with high resolution. This method provides a fast and simple clearing protocol for 3D visualization of the AAV- transduced long projection neurons throughout the brain and spinal cord.
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Affiliation(s)
- Tao Lu
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Munehisa Shinozaki
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Narihito Nagoshi
- Department of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Masaya Nakamura
- Department of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
- Correspondence: (M.N.); (H.O.)
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
- Correspondence: (M.N.); (H.O.)
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28
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Understanding Breast Cancers through Spatial and High-Resolution Visualization Using Imaging Technologies. Cancers (Basel) 2022; 14:cancers14174080. [PMID: 36077616 PMCID: PMC9454728 DOI: 10.3390/cancers14174080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/12/2022] [Accepted: 08/18/2022] [Indexed: 11/17/2022] Open
Abstract
Breast cancer is the most common cancer affecting women worldwide. Although many analyses and treatments have traditionally targeted the breast cancer cells themselves, recent studies have focused on investigating entire cancer tissues, including breast cancer cells. To understand the structure of breast cancer tissues, including breast cancer cells, it is necessary to investigate the three-dimensional location of the cells and/or proteins comprising the tissues and to clarify the relationship between the three-dimensional structure and malignant transformation or metastasis of breast cancers. In this review, we aim to summarize the methods for analyzing the three-dimensional structure of breast cancer tissue, paying particular attention to the recent technological advances in the combination of the tissue-clearing method and optical three-dimensional imaging. We also aimed to identify the latest methods for exploring the relationship between the three-dimensional cell arrangement in breast cancer tissues and the gene expression of each cell. Finally, we aimed to describe the three-dimensional imaging features of breast cancer tissues using noninvasive photoacoustic imaging methods.
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29
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Ontogeny of cellular organization and LGR5 expression in porcine cochlea revealed using tissue clearing and 3D imaging. iScience 2022; 25:104695. [PMID: 35865132 PMCID: PMC9294204 DOI: 10.1016/j.isci.2022.104695] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/20/2022] [Accepted: 06/27/2022] [Indexed: 11/23/2022] Open
Abstract
Over 11% of the world's population experience hearing loss. Although there are promising studies to restore hearing in rodent models, the size, ontogeny, genetics, and frequency range of hearing of most rodents' cochlea do not match that of humans. The porcine cochlea can bridge this gap as it shares many anatomical, physiological, and genetic similarities with its human counterpart. Here, we provide a detailed methodology to process and image the porcine cochlea in 3D using tissue clearing and light-sheet microscopy. The resulting 3D images can be employed to compare cochleae across different ages and conditions, investigate the ontogeny of cochlear cytoarchitecture, and produce quantitative expression maps of LGR5, a marker of cochlear progenitors in mice. These data reveal that hair cell organization, inner ear morphology, cellular cartography in the organ of Corti, and spatiotemporal expression of LGR5 are dynamic over developmental stages in a pattern not previously documented.
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30
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Dyer L, Parker A, Paphiti K, Sanderson J. Lightsheet Microscopy. Curr Protoc 2022; 2:e448. [PMID: 35838628 DOI: 10.1002/cpz1.448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
In this paper, we review lightsheet (selective plane illumination) microscopy for mouse developmental biologists. There are different means of forming the illumination sheet, and we discuss these. We explain how we introduced the lightsheet microscope economically into our core facility and present our results on fixed and living samples. We also describe methods of clearing fixed samples for three-dimensional imaging and discuss the various means of preparing samples with particular reference to mouse cilia, adipose spheroids, and cochleae. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC.
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Affiliation(s)
- Laura Dyer
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, UK
| | - Andrew Parker
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, UK
| | - Keanu Paphiti
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, UK
| | - Jeremy Sanderson
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, UK
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31
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van Ineveld RL, van Vliet EJ, Wehrens EJ, Alieva M, Rios AC. 3D imaging for driving cancer discovery. EMBO J 2022; 41:e109675. [PMID: 35403737 PMCID: PMC9108604 DOI: 10.15252/embj.2021109675] [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: 09/09/2021] [Revised: 03/09/2022] [Accepted: 03/09/2022] [Indexed: 11/09/2022] Open
Abstract
Our understanding of the cellular composition and architecture of cancer has primarily advanced using 2D models and thin slice samples. This has granted spatial information on fundamental cancer biology and treatment response. However, tissues contain a variety of interconnected cells with different functional states and shapes, and this complex organization is impossible to capture in a single plane. Furthermore, tumours have been shown to be highly heterogenous, requiring large-scale spatial analysis to reliably profile their cellular and structural composition. Volumetric imaging permits the visualization of intact biological samples, thereby revealing the spatio-phenotypic and dynamic traits of cancer. This review focuses on new insights into cancer biology uniquely brought to light by 3D imaging and concomitant progress in cancer modelling and quantitative analysis. 3D imaging has the potential to generate broad knowledge advance from major mechanisms of tumour progression to new strategies for cancer treatment and patient diagnosis. We discuss the expected future contributions of the newest imaging trends towards these goals and the challenges faced for reaching their full application in cancer research.
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Affiliation(s)
- Ravian L van Ineveld
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
- Oncode InstituteUtrechtThe Netherlands
| | - Esmée J van Vliet
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
- Oncode InstituteUtrechtThe Netherlands
| | - Ellen J Wehrens
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
- Oncode InstituteUtrechtThe Netherlands
| | - Maria Alieva
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
- Oncode InstituteUtrechtThe Netherlands
| | - Anne C Rios
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
- Oncode InstituteUtrechtThe Netherlands
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32
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Growth factor dependency in mammary organoids regulates ductal morphogenesis during organ regeneration. Sci Rep 2022; 12:7200. [PMID: 35504930 PMCID: PMC9065107 DOI: 10.1038/s41598-022-11224-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 04/20/2022] [Indexed: 12/28/2022] Open
Abstract
Signaling pathways play an important role in cell fate determination in stem cells and regulate a plethora of developmental programs, the dysregulation of which can lead to human diseases. Growth factors (GFs) regulating these signaling pathways therefore play a major role in the plasticity of adult stem cells and modulate cellular differentiation and tissue repair outcomes. We consider murine mammary organoid generation from self-organizing adult stem cells as a tool to understand the role of GFs in organ development and tissue regeneration. The astounding capacity of mammary organoids to regenerate a gland in vivo after transplantation makes it a convenient model to study organ regeneration. We show organoids grown in suspension with minimal concentration of Matrigel and in the presence of a cocktail of GFs regulating EGF and FGF signaling can recapitulate key epithelial layers of adult mammary gland. We establish a toolkit utilizing in vivo whole animal imaging and ultrasound imaging combined with ex vivo approaches including tissue clearing and confocal imaging to study organ regeneration and ductal morphogenesis. Although the organoid structures were severely impaired in vitro when cultured in the presence of individual GFs, ex vivo imaging revealed ductal branching after transplantation albeit with significantly reduced number of terminal end buds. We anticipate these imaging modalities will open novel avenues to study mammary gland morphogenesis in vivo and can be beneficial for monitoring mammary tumor progression in pre-clinical and clinical settings.
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33
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Bennett HC, Kim Y. Advances in studying whole mouse brain vasculature using high-resolution 3D light microscopy imaging. NEUROPHOTONICS 2022; 9:021902. [PMID: 35402638 PMCID: PMC8983067 DOI: 10.1117/1.nph.9.2.021902] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 03/11/2022] [Indexed: 06/14/2023]
Abstract
Significance: The cerebrovasculature has become increasingly recognized as a major player in overall brain health and many brain disorders. Although there have been several landmark studies to understand details of these crucially important structures in an anatomically defined area, brain-wide examination of the whole cerebrovasculature, including microvessels, has been challenging. However, emerging techniques, including tissue processing and three-dimensional (3D) microscopy imaging, enable neuroscientists to examine the total vasculature in the entire mouse brain. Aim: Here, we aim to highlight advances in these high-resolution 3D mapping methods including block-face imaging and light sheet fluorescent microscopy. Approach: We summarize latest mapping tools to understand detailed anatomical arrangement of the cerebrovascular network and the organizing principles of the neurovascular unit (NVU) as a whole. Results: We discuss biological insights gained from studies using these imaging methods and how these tools can be used to advance our understanding of the cerebrovascular network and related cell types in the entire brain. Conclusions: This review article will help to understand recent advance in high-resolution NVU mapping in mice and provide perspective on future studies.
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Affiliation(s)
- Hannah C. Bennett
- The Pennsylvania State University, Department of Neural and Behavioral Sciences, Hershey, Pennsylvania, United States
| | - Yongsoo Kim
- The Pennsylvania State University, Department of Neural and Behavioral Sciences, Hershey, Pennsylvania, United States
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34
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Lee SE, Rudd BD, Smith NL. Fate-mapping mice: new tools and technology for immune discovery. Trends Immunol 2022; 43:195-209. [PMID: 35094945 PMCID: PMC8882138 DOI: 10.1016/j.it.2022.01.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/04/2022] [Accepted: 01/05/2022] [Indexed: 12/20/2022]
Abstract
The fate-mapping mouse has become an essential tool in the immunologist's toolbox. Although traditionally used by developmental biologists to trace the origins of cells, immunologists are turning to fate-mapping to better understand the development and function of immune cells. Thus, an expansion in the variety of fate-mapping mouse models has occurred to answer fundamental questions about the immune system. These models are also being combined with new genetic tools to study cancer, infection, and autoimmunity. In this review, we summarize different types of fate-mapping mice and describe emerging technologies that might allow immunologists to leverage this valuable tool and expand our functional knowledge of the immune system.
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Affiliation(s)
- Scarlett E Lee
- Department of Microbiology and Immunology, Cornell University, Ithaca, NY 14850, USA
| | - Brian D Rudd
- Department of Microbiology and Immunology, Cornell University, Ithaca, NY 14850, USA
| | - Norah L Smith
- Department of Microbiology and Immunology, Cornell University, Ithaca, NY 14850, USA.
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35
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Minami Y, Yuan Y, Ueda HR. High-throughput Genetically Modified Animal Experiments Achieved by Next-generation Mammalian Genetics. J Biol Rhythms 2022; 37:135-151. [PMID: 35137623 DOI: 10.1177/07487304221075002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Animal models are essential tools for modern scientists to conduct biological experiments and investigate their hypotheses in vivo. However, for the past decade, raising the throughput of such animal experiments has been a great challenge. Conventionally, in vivo high-throughput assay was achieved through large-scale mutagen-driven forward genetic screening, which took years to find causal genes. In contrast, reverse genetics accelerated the causal gene identification process, but its throughput was also limited by 2 barriers, that is, the genome modification step and the time-consuming crossing step. Defined as genetics without crossing, next-generation genetics is able to produce gene-modified animals that can be analyzed at the founder generation (F0). This method is or can be accomplished through recent technological advances in gene editing and virus-based efficient gene modifications. Notably, next-generation genetics has accelerated the process of cross-species studies, and it will be a useful technique during animal experiments as it can provide genetic perturbation at an individual level without crossing. In this review, we begin by introducing the history of animal-based high-throughput analysis, with a specific focus on chronobiology. We then describe ways that gene modification efficiency during animal experiments was enhanced and why crossing remained a barrier to reaching higher efficiency. Moreover, we mention the Triple CRISPR as a critical technique for achieving next-generation genetics. Finally, we discuss the potential applications and limitations of next-generation mammalian genetics.
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Affiliation(s)
- Yoichi Minami
- Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yufei Yuan
- Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiroki R Ueda
- Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Suita, Japan
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36
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Newmaster KT, Kronman FA, Wu YT, Kim Y. Seeing the Forest and Its Trees Together: Implementing 3D Light Microscopy Pipelines for Cell Type Mapping in the Mouse Brain. Front Neuroanat 2022; 15:787601. [PMID: 35095432 PMCID: PMC8794814 DOI: 10.3389/fnana.2021.787601] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/02/2021] [Indexed: 12/14/2022] Open
Abstract
The brain is composed of diverse neuronal and non-neuronal cell types with complex regional connectivity patterns that create the anatomical infrastructure underlying cognition. Remarkable advances in neuroscience techniques enable labeling and imaging of these individual cell types and their interactions throughout intact mammalian brains at a cellular resolution allowing neuroscientists to examine microscopic details in macroscopic brain circuits. Nevertheless, implementing these tools is fraught with many technical and analytical challenges with a need for high-level data analysis. Here we review key technical considerations for implementing a brain mapping pipeline using the mouse brain as a primary model system. Specifically, we provide practical details for choosing methods including cell type specific labeling, sample preparation (e.g., tissue clearing), microscopy modalities, image processing, and data analysis (e.g., image registration to standard atlases). We also highlight the need to develop better 3D atlases with standardized anatomical labels and nomenclature across species and developmental time points to extend the mapping to other species including humans and to facilitate data sharing, confederation, and integrative analysis. In summary, this review provides key elements and currently available resources to consider while developing and implementing high-resolution mapping methods.
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Affiliation(s)
- Kyra T Newmaster
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, United States
| | - Fae A Kronman
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, United States
| | - Yuan-Ting Wu
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, United States
| | - Yongsoo Kim
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, United States
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37
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Ruthig P, Schönwiesner M. Common principles in the lateralisation of auditory cortex structure and function for vocal communication in primates and rodents. Eur J Neurosci 2022; 55:827-845. [PMID: 34984748 DOI: 10.1111/ejn.15590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 12/24/2021] [Indexed: 11/27/2022]
Abstract
This review summarises recent findings on the lateralisation of communicative sound processing in the auditory cortex (AC) of humans, non-human primates, and rodents. Functional imaging in humans has demonstrated a left hemispheric preference for some acoustic features of speech, but it is unclear to which degree this is caused by bottom-up acoustic feature selectivity or top-down modulation from language areas. Although non-human primates show a less pronounced functional lateralisation in AC, the properties of AC fields and behavioral asymmetries are qualitatively similar. Rodent studies demonstrate microstructural circuits that might underlie bottom-up acoustic feature selectivity in both hemispheres. Functionally, the left AC in the mouse appears to be specifically tuned to communication calls, whereas the right AC may have a more 'generalist' role. Rodents also show anatomical AC lateralisation, such as differences in size and connectivity. Several of these functional and anatomical characteristics are also lateralized in human AC. Thus, complex vocal communication processing shares common features among rodents and primates. We argue that a synthesis of results from humans, non-human primates, and rodents is necessary to identify the neural circuitry of vocal communication processing. However, data from different species and methods are often difficult to compare. Recent advances may enable better integration of methods across species. Efforts to standardise data formats and analysis tools would benefit comparative research and enable synergies between psychological and biological research in the area of vocal communication processing.
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Affiliation(s)
- Philip Ruthig
- Faculty of Life Sciences, Leipzig University, Leipzig, Sachsen.,Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
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38
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Vulders RCM, van Hoogenhuizen RC, van der Giessen E, van der Zaag PJ. Clearing-induced tisssue shrinkage: A novel observation of a thickness size effect. PLoS One 2021; 16:e0261417. [PMID: 34914768 PMCID: PMC8675714 DOI: 10.1371/journal.pone.0261417] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 12/01/2021] [Indexed: 11/18/2022] Open
Abstract
The use of clearing agents has provided new insights in various fields of medical research (developmental biology, neurology) by enabling examination of tissue architecture in 3D. One of the challenges is that clearing agents induce tissue shrinkage and the shrinkage rates reported in the literature are incoherent. Here, we report that for a classical clearing agent, benzyl-alcohol benzyl-benzoate (BABB), the shrinkage decreases significantly with increasing sample size, and present an analytical formula describing this.
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Affiliation(s)
| | | | - E. van der Giessen
- Zernike Institute for Advanced Materials, University of Groningen, Groningen, The Netherlands
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39
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Minami Y, Yuan Y, Ueda HR. Towards organism-level systems biology by next-generation genetics and whole-organ cell profiling. Biophys Rev 2021; 13:1113-1126. [PMID: 35059031 PMCID: PMC8724464 DOI: 10.1007/s12551-021-00859-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/18/2021] [Indexed: 02/06/2023] Open
Abstract
The system-level identification and analysis of molecular and cellular networks in mammals can be accelerated by "next-generation" genetics, which is defined as genetics that can achieve desired genetic makeup in a single generation without any animal crossing. We recently established a highly efficient procedure for producing knock-out (KO) mice using the "Triple-CRISPR" method, which targets a single gene by triple gRNAs in the CRISPR/Cas9 system. This procedure achieved an almost perfect KO efficiency (96-100%). We also established a highly efficient procedure, the "ES-mouse" method, for producing knock-in (KI) mice within a single generation. In this method, ES cells were treated with three inhibitors to keep their potency and then injected into 8-cell-stage embryos. These procedures dramatically shortened the time required to produce KO or KI mice from years down to about 3 months. The produced KO and KI mice can also be systematically profiled at a single-cell resolution by the "whole-organ cell profiling," which was realized by tissue-clearing methods, such as CUBIC, and an advanced light-sheet microscopy. The review describes the establishment and application of these technologies above in analyzing the three states (NREM sleep, REM sleep, and awake) of mammalian brains. It also discusses the role of calcium and muscarinic receptors in these states as well as the current challenges and future opportunities in the next-generation mammalian genetics and whole-organ cell profiling for organism-level systems biology.
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Affiliation(s)
- Yoichi Minami
- Department of Systems Pharmacology, Graduate School of Medicine, the University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033 Japan
| | - Yufei Yuan
- Department of Systems Pharmacology, Graduate School of Medicine, the University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033 Japan
| | - Hiroki R. Ueda
- Department of Systems Pharmacology, Graduate School of Medicine, the University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033 Japan
- Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, 1-3 Yamadaoka, Suita, Osaka 565-0871 Japan
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40
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Abstract
Tissue clearing increases the transparency of late developmental stages and enables deep imaging in fixed organisms. Successful implementation of these methodologies requires a good grasp of sample processing, imaging and the possibilities offered by image analysis. In this Primer, we highlight how tissue clearing can revolutionize the histological analysis of developmental processes and we advise on how to implement effective clearing protocols, imaging strategies and analysis methods for developmental biology.
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Affiliation(s)
| | - Nicolas Renier
- Sorbonne Université, Paris Brain Institute – ICM, INSERM, CNRS, AP-HP, Hôpital de la Pitié Salpêtrière, 75013 Paris, France
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41
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Ballke S, Heid I, Mogler C, Braren R, Schwaiger M, Weichert W, Steiger K. Correlation of in vivo imaging to morphomolecular pathology in translational research: challenge accepted. EJNMMI Res 2021; 11:83. [PMID: 34453623 PMCID: PMC8401369 DOI: 10.1186/s13550-021-00826-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 08/15/2021] [Indexed: 12/26/2022] Open
Abstract
Correlation of in vivo imaging to histomorphological pathology in animal models requires comparative interdisciplinary expertise of different fields of medicine. From the morphological point of view, there is an urgent need to improve histopathological evaluation in animal model-based research to expedite translation into clinical applications. While different other fields of translational science were standardized over the last years, little was done to improve the pipeline of experimental pathology to ensure reproducibility based on pathological expertise in experimental animal models with respect to defined guidelines and classifications. Additionally, longitudinal analyses of preclinical models often use a variety of imaging methods and much more attention should be drawn to enable for proper co-registration of in vivo imaging methods with the ex vivo morphological read-outs. Here we present the development of the Comparative Experimental Pathology (CEP) unit embedded in the Institute of Pathology of the Technical University of Munich during the Collaborative Research Center 824 (CRC824) funding period together with selected approaches of histomorphological techniques for correlation of in vivo imaging to morphomolecular pathology.
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Affiliation(s)
- Simone Ballke
- School of Medicine, Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Irina Heid
- School of Medicine, Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Carolin Mogler
- School of Medicine, Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Rickmer Braren
- School of Medicine, Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Markus Schwaiger
- School of Medicine, Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Wilko Weichert
- School of Medicine, Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Katja Steiger
- School of Medicine, Institute of Pathology, Technical University of Munich, Munich, Germany.
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42
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Hofmann J, Keppler SJ. Tissue clearing and 3D imaging - putting immune cells into context. J Cell Sci 2021; 134:271108. [PMID: 34342351 DOI: 10.1242/jcs.258494] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
A better understanding of cell-cell and cell-niche interactions is crucial to comprehend the complexity of inflammatory or pathophysiological scenarios such as tissue damage during viral infections, the tumour microenvironment and neuroinflammation. Optical clearing and 3D volumetric imaging of large tissue pieces or whole organs is a rapidly developing methodology that holds great promise for the in-depth study of cells in their natural surroundings. These methods have mostly been applied to image structural components such as endothelial cells and neuronal architecture. Recent work now highlights the possibility of studying immune cells in detail within their respective immune niches. This Review summarizes recent developments in tissue clearing methods and 3D imaging, with a focus on the localization and quantification of immune cells. We first provide background to the optical challenges involved and their solutions before discussing published protocols for tissue clearing, the limitations of 3D imaging of immune cells and image analysis. Furthermore, we highlight possible applications for tissue clearing and propose future developments for the analysis of immune cells within homeostatic or inflammatory immune niches.
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Affiliation(s)
- Julian Hofmann
- Institute for Clinical Chemistry and Pathobiochemistry, München rechts der Isar (MRI), Technical University Munich, 81675 Munich, Germany.,TranslaTUM, Center for Translational Cancer Research, Technical University Munich, 81675 Munich, Germany
| | - Selina J Keppler
- Institute for Clinical Chemistry and Pathobiochemistry, München rechts der Isar (MRI), Technical University Munich, 81675 Munich, Germany.,TranslaTUM, Center for Translational Cancer Research, Technical University Munich, 81675 Munich, Germany
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43
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Jeucken KCM, Koning JJ, van Hamburg JP, Mebius RE, Tas SW. A Straightforward Method for 3D Visualization of B Cell Clusters and High Endothelial Venules in Lymph Nodes Highlights Differential Roles of TNFRI and -II. Front Immunol 2021; 12:699336. [PMID: 34234786 PMCID: PMC8255985 DOI: 10.3389/fimmu.2021.699336] [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] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 06/08/2021] [Indexed: 12/19/2022] Open
Abstract
Whole mount tissue immunolabeling and imaging of complete organs has tremendous benefits in characterizing organ morphology. Here, we present a straightforward method for immunostaining, clearing and imaging of whole murine peripheral lymph nodes (PLNs) for detailed analysis of their architecture and discuss all procedures in detail in a step-by-step approach. Given the importance of tumor necrosis factor receptor (TNFR) signaling in development of PLNs we used TNFRI-/- and TNFRII-/- mice models as proof-of-concept for this technique by visualizing and analyzing structural changes in PLN B cell clusters and high endothelial venules (HEVs). Samples were subjected to de- and rehydration with methanol, labeled with antibodies for B cells, T cells and high endothelial venules (HEVs) and optically cleared using benzyl alcohol-benzyl benzoate. Imaging was done using LaVision light sheet microscope and analysis with Imaris software. Using these techniques, we confirmed previous findings that TNFRI signaling is essential for formation of individual B cell clusters. In addition, Our data suggest that TNFRII signaling is also to some extent involved in this process as TNFRII-/- PLNs had a B cell cluster morphology reminiscent of TNFRI-/- PLNs. Moreover, visualization and objective quantification of the complete PLN high endothelial vasculature unveiled reduced volume, length and branching points of HEVs in TNFRI-/- PLNs, revealing an earlier unrecognized contribution of TNFRI signaling in HEV morphology. Together, these results underline the potential of whole mount tissue staining and advanced imaging techniques to unravel even subtle changes in lymphoid tissue architecture.
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Affiliation(s)
- Kim C M Jeucken
- Department of Experimental Immunology, Amsterdam Institute for Infection & Immunity, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands.,Department of Clinical Immunology and Rheumatology, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Jasper J Koning
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection & Immunity Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Jan Piet van Hamburg
- Department of Experimental Immunology, Amsterdam Institute for Infection & Immunity, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands.,Department of Clinical Immunology and Rheumatology, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Reina E Mebius
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection & Immunity Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Sander W Tas
- Department of Experimental Immunology, Amsterdam Institute for Infection & Immunity, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands.,Department of Clinical Immunology and Rheumatology, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
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Kolesová H, Olejníčková V, Kvasilová A, Gregorovičová M, Sedmera D. Tissue clearing and imaging methods for cardiovascular development. iScience 2021; 24:102387. [PMID: 33981974 PMCID: PMC8086021 DOI: 10.1016/j.isci.2021.102387] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Tissue imaging in 3D using visible light is limited and various clearing techniques were developed to increase imaging depth, but none provides universal solution for all tissues at all developmental stages. In this review, we focus on different tissue clearing methods for 3D imaging of heart and vasculature, based on chemical composition (solvent-based, simple immersion, hyperhydration, and hydrogel embedding techniques). We discuss in detail compatibility of various tissue clearing techniques with visualization methods: fluorescence preservation, immunohistochemistry, nuclear staining, and fluorescent dyes vascular perfusion. We also discuss myocardium visualization using autofluorescence, tissue shrinking, and expansion. Then we overview imaging methods used to study cardiovascular system and live imaging. We discuss heart and vessels segmentation methods and image analysis. The review covers the whole process of cardiovascular system 3D imaging, starting from tissue clearing and its compatibility with various visualization methods to the types of imaging methods and resulting image analysis.
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Affiliation(s)
- Hana Kolesová
- Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Institute of Physiology, Czech Academy of Science, Prague, Czech Republic
| | - Veronika Olejníčková
- Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Institute of Physiology, Czech Academy of Science, Prague, Czech Republic
| | - Alena Kvasilová
- Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Martina Gregorovičová
- Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Institute of Physiology, Czech Academy of Science, Prague, Czech Republic
| | - David Sedmera
- Institute of Anatomy, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Institute of Physiology, Czech Academy of Science, Prague, Czech Republic
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