1
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Klingstedt T, Shirani H, Parvin F, Nyström S, Hammarström P, Graff C, Ingelsson M, Vidal R, Ghetti B, Sehlin D, Syvänen S, Nilsson KPR. Dual-ligand fluorescence microscopy enables chronological and spatial histological assignment of distinct amyloid-β deposits. J Biol Chem 2025; 301:108032. [PMID: 39615691 PMCID: PMC11731580 DOI: 10.1016/j.jbc.2024.108032] [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: 08/14/2024] [Revised: 10/25/2024] [Accepted: 11/21/2024] [Indexed: 12/23/2024] Open
Abstract
Different types of deposits comprised of amyloid-β (Aβ) peptides are one of the pathological hallmarks of Alzheimer's disease (AD) and novel methods that enable identification of a diversity of Aβ deposits during the AD continuum are essential for understanding the role of these aggregates during the pathogenesis. Herein, different combinations of five fluorescent thiophene-based ligands were used for detection of Aβ deposits in brain tissue sections from transgenic mouse models with aggregated Aβ pathology, as well as brain tissue sections from patients affected by sporadic or dominantly inherited AD. When analyzing the sections with fluorescence microscopy, distinct ligand staining patterns related to the transgenic mouse model or to the age of the mice were observed. Likewise, specific staining patterns of different Aβ deposits were revealed for sporadic versus dominantly inherited AD, as well as for distinct brain regions in sporadic AD. Thus, by using dual-staining protocols with multiple combinations of fluorescent ligands, a chronological and spatial histological designation of different Aβ deposits could be achieved. This study demonstrates the potential of our approach for resolving the role and presence of distinct Aβ aggregates during the AD continuum and pinpoints the necessity of using multiple ligands to obtain an accurate assignment of different Aβ deposits in the neuropathological evaluation of AD, as well as when evaluating therapeutic strategies targeting Aβ aggregates.
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Affiliation(s)
- Therése Klingstedt
- Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Hamid Shirani
- Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Farjana Parvin
- Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Sofie Nyström
- Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Per Hammarström
- Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Caroline Graff
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Martin Ingelsson
- Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada; Tanz Centre for Research in Neurodegenerative Diseases, Department of Medicine and Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada; Molecular Geriatrics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Ruben Vidal
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Bernardino Ghetti
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Dag Sehlin
- Molecular Geriatrics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Stina Syvänen
- Molecular Geriatrics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - K Peter R Nilsson
- Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden.
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2
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Roostalu U, Hansen HH, Hecksher-Sørensen J. 3D light-sheet fluorescence microscopy in preclinical and clinical drug discovery. Drug Discov Today 2024; 29:104196. [PMID: 39368696 DOI: 10.1016/j.drudis.2024.104196] [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: 06/19/2024] [Revised: 09/10/2024] [Accepted: 09/30/2024] [Indexed: 10/07/2024]
Abstract
Light-sheet fluorescence microscopy (LSFM) combined with tissue clearing has emerged as a powerful technology in drug discovery. LSFM is applicable to a variety of samples, from rodent organs to clinical tissue biopsies, and has been used for characterizing drug targets in tissues, demonstrating the biodistribution of pharmaceuticals and determining their efficacy and mode of action. LSFM is scalable to high-throughput analysis and provides resolution down to the single cell level. In this review, we describe the advantages of implementing LSFM into the drug discovery pipeline and highlight recent advances in this field.
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3
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Catto F, Dadgar-Kiani E, Kirschenbaum D, Economides A, Reuss AM, Trevisan C, Caredio D, Mirzet D, Frick L, Weber-Stadlbauer U, Litvinov S, Koumoutsakos P, Hyung Lee J, Aguzzi A. Quantitative 3D histochemistry reveals region-specific amyloid-β reduction by the antidiabetic drug netoglitazone. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.15.608042. [PMID: 39185170 PMCID: PMC11343181 DOI: 10.1101/2024.08.15.608042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
A hallmark of Alzheimer's disease (AD) is the extracellular aggregation of toxic amyloid-beta (Aβ) peptides in form of plaques. Here, we identify netoglitazone, an antidiabetic compound previously tested in humans, as an Aβ aggregation antagonist. Netoglitazone improved cognition and reduced microglia activity in a mouse model of AD. Using quantitative whole-brain three-dimensional histology (Q3D), we precisely identified brain regions where netoglitazone reduced the number and size of Aβ plaques. We demonstrate the utility of Q3D in preclinical drug evaluation for AD by providing a high-resolution brain-wide view of drug efficacy. Applying Q3D has the potential to improve pre-clinical drug evaluation by providing information that can help identify mechanisms leading to brain region-specific drug efficacy.
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Affiliation(s)
- Francesca Catto
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, CH-8091 Zurich, Switzerland
- IMAI MedTech, Wagistrasse 18, 8952 Schlieren, Zurich, Switzerland
| | - Ehsan Dadgar-Kiani
- Institute of Veterinary Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 260, 8057 Zürich
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
| | - Daniel Kirschenbaum
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, CH-8091 Zurich, Switzerland
| | - Athena Economides
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, CH-8091 Zurich, Switzerland
| | - Anna Maria Reuss
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, CH-8091 Zurich, Switzerland
| | - Chiara Trevisan
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, CH-8091 Zurich, Switzerland
| | - Davide Caredio
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, CH-8091 Zurich, Switzerland
| | - Delic Mirzet
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, CH-8091 Zurich, Switzerland
| | - Lukas Frick
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, CH-8091 Zurich, Switzerland
| | - Ulrike Weber-Stadlbauer
- Institute of Veterinary Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 260, 8057 Zürich
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
| | - Sergey Litvinov
- Computational Science and Engineering Laboratory, ETH Zürich, Clausiusstrasse 33, 8092, Zurich, Switzerland
- Computational Science and Engineering Laboratory, Harvard University, Cambridge, MA 02138, United States
| | - Petros Koumoutsakos
- Computational Science and Engineering Laboratory, Harvard University, Cambridge, MA 02138, United States
| | - Jin Hyung Lee
- Department of Neurology and Neurological Sciences, Stanford University, CA 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Department of Electrical Engineering, Stanford University, CA 94305, USA
- Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA
| | - Adriano Aguzzi
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Schmelzbergstrasse 12, CH-8091 Zurich, Switzerland
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4
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Bracha S, Johnson HJ, Pranckevicius NA, Catto F, Economides AE, Litvinov S, Hassi K, Rigoli MT, Cheroni C, Bonfanti M, Valenti A, Stucchi S, Attreya S, Ross PD, Walsh D, Malachi N, Livne H, Eshel R, Krupalnik V, Levin D, Cobb S, Koumoutsakos P, Caporale N, Testa G, Aguzzi A, Koshy AA, Sheiner L, Rechavi O. Engineering Toxoplasma gondii secretion systems for intracellular delivery of multiple large therapeutic proteins to neurons. Nat Microbiol 2024; 9:2051-2072. [PMID: 39075233 PMCID: PMC11306108 DOI: 10.1038/s41564-024-01750-6] [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: 12/02/2023] [Accepted: 06/05/2024] [Indexed: 07/31/2024]
Abstract
Delivering macromolecules across biological barriers such as the blood-brain barrier limits their application in vivo. Previous work has demonstrated that Toxoplasma gondii, a parasite that naturally travels from the human gut to the central nervous system (CNS), can deliver proteins to host cells. Here we engineered T. gondii's endogenous secretion systems, the rhoptries and dense granules, to deliver multiple large (>100 kDa) therapeutic proteins into neurons via translational fusions to toxofilin and GRA16. We demonstrate delivery in cultured cells, brain organoids and in vivo, and probe protein activity using imaging, pull-down assays, scRNA-seq and fluorescent reporters. We demonstrate robust delivery after intraperitoneal administration in mice and characterize 3D distribution throughout the brain. As proof of concept, we demonstrate GRA16-mediated brain delivery of the MeCP2 protein, a putative therapeutic target for Rett syndrome. By characterizing the potential and current limitations of the system, we aim to guide future improvements that will be required for broader application.
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Affiliation(s)
- Shahar Bracha
- Department of Neurobiology, Biochemistry and Biophysics, Wise Faculty of Life Sciences and Sagol School for Neuroscience, Tel Aviv University, Tel Aviv, Israel.
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA.
| | - Hannah J Johnson
- Neuroscience Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA
- Departments of Neurology and Immunobiology, College of Medicine, and BIO5 Institute, University of Arizona, Tucson, AZ, USA
| | - Nicole A Pranckevicius
- Centre for Parasitology, School of Infection and Immunity, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Francesca Catto
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Athena E Economides
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Sergey Litvinov
- Computational Science and Engineering Laboratory, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Karoliina Hassi
- Centre for Parasitology, School of Infection and Immunity, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Marco Tullio Rigoli
- Human Technopole, Milan, Italy
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Cristina Cheroni
- Human Technopole, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | | | - Alessia Valenti
- Human Technopole, Milan, Italy
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Sarah Stucchi
- Human Technopole, Milan, Italy
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Shruti Attreya
- Undergraduate Biology Research Program, University of Arizona, Tucson, AZ, USA
| | - Paul D Ross
- Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Daniel Walsh
- Centre for Parasitology, School of Infection and Immunity, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | | | | | | | | | | | - Stuart Cobb
- Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Petros Koumoutsakos
- Computational Science and Engineering Laboratory, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Nicolò Caporale
- Human Technopole, Milan, Italy
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Giuseppe Testa
- Human Technopole, Milan, Italy.
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy.
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
| | - Adriano Aguzzi
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Anita A Koshy
- Departments of Neurology and Immunobiology, College of Medicine, and BIO5 Institute, University of Arizona, Tucson, AZ, USA.
| | - Lilach Sheiner
- Centre for Parasitology, School of Infection and Immunity, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
| | - Oded Rechavi
- Department of Neurobiology, Biochemistry and Biophysics, Wise Faculty of Life Sciences and Sagol School for Neuroscience, Tel Aviv University, Tel Aviv, Israel.
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5
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Parvin F, Haglund S, Wegenast-Braun B, Jucker M, Saito T, Saido TC, Nilsson KPR, Nilsson P, Nyström S, Hammarström P. Divergent Age-Dependent Conformational Rearrangement within Aβ Amyloid Deposits in APP23, APPPS1, and AppNL-F Mice. ACS Chem Neurosci 2024; 15:2058-2069. [PMID: 38652895 PMCID: PMC11099915 DOI: 10.1021/acschemneuro.4c00104] [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: 02/14/2024] [Revised: 03/28/2024] [Accepted: 04/03/2024] [Indexed: 04/25/2024] Open
Abstract
Amyloid plaques composed of fibrils of misfolded Aβ peptides are pathological hallmarks of Alzheimer's disease (AD). Aβ fibrils are polymorphic in their tertiary and quaternary molecular structures. This structural polymorphism may carry different pathologic potencies and can putatively contribute to clinical phenotypes of AD. Therefore, mapping of structural polymorphism of Aβ fibrils and structural evolution over time is valuable to understanding disease mechanisms. Here, we investigated how Aβ fibril structures in situ differ in Aβ plaque of different mouse models expressing familial mutations in the AβPP gene. We imaged frozen brains with a combination of conformation-sensitive luminescent conjugated oligothiophene (LCO) ligands and Aβ-specific antibodies. LCO fluorescence mapping revealed that mouse models APP23, APPPS1, and AppNL-F have different fibril structures within Aβ-amyloid plaques depending on the AβPP-processing genotype. Co-staining with Aβ-specific antibodies showed that individual plaques from APP23 mice expressing AβPP Swedish mutation have two distinct fibril polymorph regions of core and corona. The plaque core is predominantly composed of compact Aβ40 fibrils, and the corona region is dominated by diffusely packed Aβ40 fibrils. Conversely, the AβPP knock-in mouse AppNL-F, expressing the AβPP Iberian mutation along with Swedish mutation has tiny, cored plaques consisting mainly of compact Aβ42 fibrils, vastly different from APP23 even at elevated age up to 21 months. Age-dependent polymorph rearrangement of plaque cores observed for APP23 and APPPS1 mice >12 months, appears strongly promoted by Aβ40 and was hence minuscule in AppNL-F. These structural studies of amyloid plaques in situ can map disease-relevant fibril polymorph distributions to guide the design of diagnostic and therapeutic molecules.
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Affiliation(s)
- Farjana Parvin
- Department
of Physics, Chemistry and Biology (IFM), Linköping University, 58183 Linköping, Sweden
| | - Samuel Haglund
- Department
of Physics, Chemistry and Biology (IFM), Linköping University, 58183 Linköping, Sweden
| | - Bettina Wegenast-Braun
- German
Center for Neurodegenerative Diseases (DZNE), University of Tübingen, 72076 Tübingen, Germany
- Hertie
Institute for Clinical Brain Research, University
of Tübingen, 72076 Tübingen, Germany
| | - Mathias Jucker
- German
Center for Neurodegenerative Diseases (DZNE), University of Tübingen, 72076 Tübingen, Germany
- Hertie
Institute for Clinical Brain Research, University
of Tübingen, 72076 Tübingen, Germany
| | - Takashi Saito
- Laboratory
for Proteolytic Neuroscience, RIKEN Center
for Brain Science, Wako 351-0198, Saitama, Japan
- Department
of Neurocognitive Science, Nagoya City University
Graduate School of Medical Sciences, Nagoya 467-8601, Aichi, Japan
| | - Takaomi C. Saido
- Laboratory
for Proteolytic Neuroscience, RIKEN Center
for Brain Science, Wako 351-0198, Saitama, Japan
| | - K. Peter R. Nilsson
- Department
of Physics, Chemistry and Biology (IFM), Linköping University, 58183 Linköping, Sweden
| | - Per Nilsson
- Department
of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 17177 Solna, Sweden
| | - Sofie Nyström
- Department
of Physics, Chemistry and Biology (IFM), Linköping University, 58183 Linköping, Sweden
| | - Per Hammarström
- Department
of Physics, Chemistry and Biology (IFM), Linköping University, 58183 Linköping, Sweden
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6
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Vladimirov N, Voigt FF, Naert T, Araujo GR, Cai R, Reuss AM, Zhao S, Schmid P, Hildebrand S, Schaettin M, Groos D, Mateos JM, Bethge P, Yamamoto T, Aerne V, Roebroeck A, Ertürk A, Aguzzi A, Ziegler U, Stoeckli E, Baudis L, Lienkamp SS, Helmchen F. Benchtop mesoSPIM: a next-generation open-source light-sheet microscope for cleared samples. Nat Commun 2024; 15:2679. [PMID: 38538644 PMCID: PMC10973490 DOI: 10.1038/s41467-024-46770-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 03/08/2024] [Indexed: 04/04/2024] Open
Abstract
In 2015, we launched the mesoSPIM initiative, an open-source project for making light-sheet microscopy of large cleared tissues more accessible. Meanwhile, the demand for imaging larger samples at higher speed and resolution has increased, requiring major improvements in the capabilities of such microscopes. Here, we introduce the next-generation mesoSPIM ("Benchtop") with a significantly increased field of view, improved resolution, higher throughput, more affordable cost, and simpler assembly compared to the original version. We develop an optical method for testing detection objectives that enables us to select objectives optimal for light-sheet imaging with large-sensor cameras. The improved mesoSPIM achieves high spatial resolution (1.5 µm laterally, 3.3 µm axially) across the entire field of view, magnification up to 20×, and supports sample sizes ranging from sub-mm up to several centimeters while being compatible with multiple clearing techniques. The microscope serves a broad range of applications in neuroscience, developmental biology, pathology, and even physics.
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Grants
- U01 NS090475 NINDS NIH HHS
- This work was supported by the University Research Priority Program (URPP) “Adaptive Brain Circuits in Development and Learning (AdaBD)” of the University of Zurich (N.V., E.S. and F.H.). Additionally, F.F.V. is supported by an HFSP fellowship (LT00687), T.N. received funding from H2020 Marie Skłodowska-Curie Actions (xenCAKUT - 891127), A.R. and S.H. were supported by a Dutch Science Foundation VIDI Grant (14637), and A.R. was supported by an ERC Starting Grant (MULTICONNECT, 639938). Further funding support came from the Swiss National Science Foundation (SNF grant nos. 31003B-170269, 310030_192617 and CRSII5-18O316 to F.H., 310030_189102 to S.S.L., 200020_204950 to L.B., G.R.A, and V.A.); from an ERC Starting Grant by the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement no. 804474, DiRECT, S.S.L); and the US Brain Initiative (1U01NS090475-01, F.H.).
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Affiliation(s)
- Nikita Vladimirov
- Brain Research Institute, University of Zurich, Zurich, Switzerland.
- University Research Priority Program (URPP), Adaptive Brain Circuits in Development and Learning, University of Zurich, Zurich, Switzerland.
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland.
| | - Fabian F Voigt
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Thomas Naert
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | | | - Ruiyao Cai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, Germany
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Anna Maria Reuss
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Shan Zhao
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Patricia Schmid
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Sven Hildebrand
- Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Martina Schaettin
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Dominik Groos
- Brain Research Institute, University of Zurich, Zurich, Switzerland
| | - José María Mateos
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland
| | - Philipp Bethge
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
| | - Taiyo Yamamoto
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Valentino Aerne
- Department of Physics, University of Zurich, Zurich, Switzerland
| | - Alard Roebroeck
- Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, Germany
| | - Adriano Aguzzi
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Urs Ziegler
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland
| | - Esther Stoeckli
- University Research Priority Program (URPP), Adaptive Brain Circuits in Development and Learning, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Laura Baudis
- Department of Physics, University of Zurich, Zurich, Switzerland
| | - Soeren S Lienkamp
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Fritjof Helmchen
- Brain Research Institute, University of Zurich, Zurich, Switzerland.
- University Research Priority Program (URPP), Adaptive Brain Circuits in Development and Learning, University of Zurich, Zurich, Switzerland.
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland.
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7
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Vladimirov N, Voigt FF, Naert T, Araujo GR, Cai R, Reuss AM, Zhao S, Schmid P, Hildebrand S, Schaettin M, Groos D, Mateos JM, Bethge P, Yamamoto T, Aerne V, Roebroeck A, Ertürk A, Aguzzi A, Ziegler U, Stoeckli E, Baudis L, Lienkamp SS, Helmchen F. The Benchtop mesoSPIM: a next-generation open-source light-sheet microscope for large cleared samples. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.16.545256. [PMID: 38168219 PMCID: PMC10760166 DOI: 10.1101/2023.06.16.545256] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
In 2015, we launched the mesoSPIM initiative (www.mesospim.org), an open-source project for making light-sheet microscopy of large cleared tissues more accessible. Meanwhile, the demand for imaging larger samples at higher speed and resolution has increased, requiring major improvements in the capabilities of light-sheet microscopy. Here, we introduce the next-generation mesoSPIM ("Benchtop") with significantly increased field of view, improved resolution, higher throughput, more affordable cost and simpler assembly compared to the original version. We developed a new method for testing objectives, enabling us to select detection objectives optimal for light-sheet imaging with large-sensor sCMOS cameras. The new mesoSPIM achieves high spatial resolution (1.5 μm laterally, 3.3 μm axially) across the entire field of view, a magnification up to 20x, and supports sample sizes ranging from sub-mm up to several centimetres, while being compatible with multiple clearing techniques. The new microscope serves a broad range of applications in neuroscience, developmental biology, and even physics.
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Affiliation(s)
- Nikita Vladimirov
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland
| | - Fabian F. Voigt
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Present address: Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Thomas Naert
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | | | - Ruiyao Cai
- Present address: Department of Biology, Stanford University, Stanford, CA, USA
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, German
| | - Anna Maria Reuss
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Shan Zhao
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Patricia Schmid
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Sven Hildebrand
- Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Martina Schaettin
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Dominik Groos
- Brain Research Institute, University of Zurich, Zurich, Switzerland
| | - José María Mateos
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland
| | - Philipp Bethge
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
| | - Taiyo Yamamoto
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Valentino Aerne
- Department of Physics, University of Zurich, Zurich, Switzerland
| | - Alard Roebroeck
- Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, German
| | - Adriano Aguzzi
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Urs Ziegler
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland
| | - Esther Stoeckli
- University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Laura Baudis
- Department of Physics, University of Zurich, Zurich, Switzerland
| | - Soeren S. Lienkamp
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Fritjof Helmchen
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
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8
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Fangma Y, Liu M, Liao J, Chen Z, Zheng Y. Dissecting the brain with spatially resolved multi-omics. J Pharm Anal 2023; 13:694-710. [PMID: 37577383 PMCID: PMC10422112 DOI: 10.1016/j.jpha.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 08/15/2023] Open
Abstract
Recent studies have highlighted spatially resolved multi-omics technologies, including spatial genomics, transcriptomics, proteomics, and metabolomics, as powerful tools to decipher the spatial heterogeneity of the brain. Here, we focus on two major approaches in spatial transcriptomics (next-generation sequencing-based technologies and image-based technologies), and mass spectrometry imaging technologies used in spatial proteomics and spatial metabolomics. Furthermore, we discuss their applications in neuroscience, including building the brain atlas, uncovering gene expression patterns of neurons for special behaviors, deciphering the molecular basis of neuronal communication, and providing a more comprehensive explanation of the molecular mechanisms underlying central nervous system disorders. However, further efforts are still needed toward the integrative application of multi-omics technologies, including the real-time spatial multi-omics analysis in living cells, the detailed gene profile in a whole-brain view, and the combination of functional verification.
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Affiliation(s)
- Yijia Fangma
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Mengting Liu
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Jie Liao
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Zhong Chen
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Yanrong Zheng
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
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9
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Björk L, Klingstedt T, Nilsson KPR. Thiophene-Based Ligands: Design, Synthesis and Their Utilization for Optical Assignment of Polymorphic-Disease-Associated Protein Aggregates. Chembiochem 2023; 24:e202300044. [PMID: 36891883 PMCID: PMC10404026 DOI: 10.1002/cbic.202300044] [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: 01/20/2023] [Revised: 03/03/2023] [Accepted: 03/08/2023] [Indexed: 03/10/2023]
Abstract
The development of ligands for detecting protein aggregates is of great interest, as these aggregated proteinaceous species are the pathological hallmarks of several devastating diseases, including Alzheimer's disease. In this regard, thiophene-based ligands have emerged as powerful tools for fluorescent assessment of these pathological entities. The intrinsic conformationally sensitive photophysical properties of poly- and oligothiophenes have allowed optical assignment of disease-associated protein aggregates in tissue sections, as well as real-time in vivo imaging of protein deposits. Herein, we recount the chemical evolution of different generations of thiophene-based ligands, and exemplify their use for the optical distinction of polymorphic protein aggregates. Furthermore, the chemical determinants for achieving a superior fluorescent thiophene-based ligand, as well as the next generation of thiophene-based ligands targeting distinct aggregated species are described. Finally, the directions for future research into the chemical design of thiophene-based ligands that can aid in resolving the scientific challenges around protein aggregation diseases are discussed.
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Affiliation(s)
- Linnea Björk
- Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden
| | - Therése Klingstedt
- Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden
| | - K Peter R Nilsson
- Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden
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