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Park J, Wang J, Guan W, Gjesteby LA, Pollack D, Kamentsky L, Evans NB, Stirman J, Gu X, Zhao C, Marx S, Kim ME, Choi SW, Snyder M, Chavez D, Su-Arcaro C, Tian Y, Park CS, Zhang Q, Yun DH, Moukheiber M, Feng G, Yang XW, Keene CD, Hof PR, Ghosh SS, Frosch MP, Brattain LJ, Chung K. Integrated platform for multiscale molecular imaging and phenotyping of the human brain. Science 2024; 384:eadh9979. [PMID: 38870291 DOI: 10.1126/science.adh9979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 04/22/2024] [Indexed: 06/15/2024]
Abstract
Understanding cellular architectures and their connectivity is essential for interrogating system function and dysfunction. However, we lack technologies for mapping the multiscale details of individual cells and their connectivity in the human organ-scale system. We developed a platform that simultaneously extracts spatial, molecular, morphological, and connectivity information of individual cells from the same human brain. The platform includes three core elements: a vibrating microtome for ultraprecision slicing of large-scale tissues without losing cellular connectivity (MEGAtome), a polymer hydrogel-based tissue processing technology for multiplexed multiscale imaging of human organ-scale tissues (mELAST), and a computational pipeline for reconstructing three-dimensional connectivity across multiple brain slabs (UNSLICE). We applied this platform for analyzing human Alzheimer's disease pathology at multiple scales and demonstrating scalable neural connectivity mapping in the human brain.
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Affiliation(s)
- Juhyuk Park
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Department of Chemical Engineering, MIT, Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
- Center for Nanomedicine, Institute for Basic Science, Seoul 03722, Republic of Korea
| | - Ji Wang
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
| | - Webster Guan
- Department of Chemical Engineering, MIT, Cambridge, MA 02139, USA
| | | | | | - Lee Kamentsky
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
| | - Nicholas B Evans
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
| | - Jeff Stirman
- LifeCanvas Technologies, Cambridge, MA 02141, USA
| | - Xinyi Gu
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139, USA
| | - Chuanxi Zhao
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
| | - Slayton Marx
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
| | - Minyoung E Kim
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Seo Woo Choi
- Department of Chemical Engineering, MIT, Cambridge, MA 02139, USA
| | | | - David Chavez
- MIT Lincoln Laboratory, Lexington, MA 02421, USA
| | - Clover Su-Arcaro
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
| | - Yuxuan Tian
- Department of Chemical Engineering, MIT, Cambridge, MA 02139, USA
| | - Chang Sin Park
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience, University of California, Los Angeles, CA 90024, USA
| | - Qiangge Zhang
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA
| | - Dae Hee Yun
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Mira Moukheiber
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
| | - Guoping Feng
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA
| | - X William Yang
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience, University of California, Los Angeles, CA 90024, USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98115, USA
| | - Patrick R Hof
- Nash Family Department of Neuroscience, Center for Discovery and Innovation, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10019, USA
| | - Satrajit S Ghosh
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA
- Department of Otolaryngology, Harvard Medical School, Boston, MA 02114, USA
| | - Matthew P Frosch
- C. S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | | | - Kwanghun Chung
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Department of Chemical Engineering, MIT, Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
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2
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Torres R, Takasaki K, Gliko O, Laughland C, Yu WQ, Turschak E, Hellevik A, Balaram P, Perlman E, Sümbül U, Reid RC. A scalable and modular computational pipeline for axonal connectomics: automated tracing and assembly of axons across serial sections. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.11.598365. [PMID: 38915568 PMCID: PMC11195148 DOI: 10.1101/2024.06.11.598365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Progress in histological methods and in microscope technology has enabled dense staining and imaging of axons over large brain volumes, but tracing axons over such volumes requires new computational tools for 3D reconstruction of data acquired from serial sections. We have developed a computational pipeline for automated tracing and volume assembly of densely stained axons imaged over serial sections, which leverages machine learning-based segmentation to enable stitching and alignment with the axon traces themselves. We validated this segmentation-driven approach to volume assembly and alignment of individual axons over centimeter-scale serial sections and show the application of the output traces for analysis of local orientation and for proofreading over aligned volumes. The pipeline is scalable, and combined with recent advances in experimental approaches, should enable new studies of mesoscale connectivity and function over the whole human brain.
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3
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Mino T, Nonaka H, Hamachi I. Molecular anchoring and fluorescent labeling in animals compatible with tissue clearing for 3D imaging. Curr Opin Chem Biol 2024; 81:102474. [PMID: 38838505 DOI: 10.1016/j.cbpa.2024.102474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 05/14/2024] [Accepted: 05/16/2024] [Indexed: 06/07/2024]
Abstract
Analyzing the quantity and distribution of molecules throughout intact biological tissue is crucial for understanding various biological phenomena. Traditional methods involving destructive extraction result in the loss of spatial information. Conversely, tissue-clearing techniques combined with fluorescence imaging have recently emerged as a powerful tool for deep tissue imaging without sacrificing spatial coverage. Key to this approach is the anchoring and labeling of targets in intact tissue. In this review, methods for anchoring and labeling proteins, lipids, carbohydrates, and small molecules are presented. Future directions include the development of activity-based probes that work in vivo and mark transient events with spatial information to enable a deeper understanding of biological phenomena.
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Affiliation(s)
- Takeharu Mino
- Department of Synthetic Chemistry and Biological Chemistry, Graduate School of Engineering, Kyoto University, Kyoto 615-8510, Japan
| | - Hiroshi Nonaka
- Department of Synthetic Chemistry and Biological Chemistry, Graduate School of Engineering, Kyoto University, Kyoto 615-8510, Japan; ERATO (Exploratory Research for Advanced Technology, JST), Tokyo 102-0075, Japan
| | - Itaru Hamachi
- Department of Synthetic Chemistry and Biological Chemistry, Graduate School of Engineering, Kyoto University, Kyoto 615-8510, Japan; ERATO (Exploratory Research for Advanced Technology, JST), Tokyo 102-0075, Japan.
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4
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Lee M, Woo J, Kim KT, Moon SA, Park HC, Kim TY, Park JY. Customized Hydrogel Films for MicroRNA Super-Resolution Imaging in Liquid Biopsies. Adv Healthc Mater 2024:e2303781. [PMID: 38828846 DOI: 10.1002/adhm.202303781] [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: 10/31/2023] [Revised: 03/25/2024] [Indexed: 06/05/2024]
Abstract
Tissue biopsy for early diagnosis and monitoring comes with several challenges, such as its invasiveness, and issues related to tissue heterogeneity in sampling. To address these issues, researchers have proposed a noninvasive approach called liquid biopsy, which uses blood samples to detect specific noncoding RNA (microRNA, miRNA). However, the current process of isolating and amplifying miRNA can be time-consuming and yield nonspecific results. In this study, a new super-resolution imaging tool is introduced that utilizes a thin, hydrogel-based liquid view (LV) film. This film can undergo a ninefold expansion and allows the analysis of cells obtained from liquid biopsy. The potential of the LV film is validated as a tool for early diagnosis and prognosis by testing biofluids derived from a variety of diseases. This method is confirmed to accurately analyze a greater number of miRNAs with higher sensitivity in a shorter time compared to other analytical methods. These findings suggest that the LV film provides high specificity, and multiplexing in detecting small amounts of miRNAs within cells, making it suitable for 3D implementation. It is proposed that liquid biopsy with LV films can be a solution to limitations related to the invasiveness, cost, and time-consuming nature of molecular analysis.
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Affiliation(s)
- Mirae Lee
- The Spine and Spinal Cord Institute, Department of Neurosurgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06273, Republic of Korea
- Department of Neurosurgery, Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - Jiwon Woo
- The Spine and Spinal Cord Institute, Department of Neurosurgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06273, Republic of Korea
| | - Kyoung-Tae Kim
- Department of Neurosurgery, Kyungpook National University Hospital, Daegu, 41944, Republic of Korea
| | - Seul-A Moon
- Department of Neurosurgery, Kyungpook National University Hospital, Daegu, 41944, Republic of Korea
| | - Hyeong Cheon Park
- Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06273, Republic of Korea
| | - Tae Yeon Kim
- Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06273, Republic of Korea
| | - Jeong-Yoon Park
- The Spine and Spinal Cord Institute, Department of Neurosurgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06273, Republic of Korea
- Department of Neurosurgery, Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
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5
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Deng Y, Zhu J, Liu X, Dai J, Yu T, Zhu D. A robust vessel-labeling pipeline with high tissue clearing compatibility for 3D mapping of vascular networks. iScience 2024; 27:109730. [PMID: 38706842 PMCID: PMC11068851 DOI: 10.1016/j.isci.2024.109730] [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: 11/15/2023] [Revised: 02/23/2024] [Accepted: 04/09/2024] [Indexed: 05/07/2024] Open
Abstract
The combination of vessel-labeling, tissue-clearing, and light-sheet imaging techniques provides a potent tool for accurately mapping vascular networks, enabling the assessment of vascular remodeling in vascular-related disorders. However, most vascular labeling methods face challenges such as inadequate labeling efficiency or poor compatibility with current tissue clearing technology, which significantly undermines the image quality. To address this limitation, we introduce a vessel-labeling pipeline, termed Ultralabel, which relies on a specially designed dye hydrogel containing lysine-fixable dextran and gelatins for double enhancement. Ultralabel demonstrates not only excellent vessel-labeling capability but also strong compatibility with all tissue clearing methods tested, which outperforms other vessel-labeling methods. Consequently, Ultralabel enables fine mapping of vascular networks in diverse organs, as well as multi-color labeling alongside other labeling techniques. Ultralabel should provide a robust and user-friendly method for obtaining 3D vascular networks in different biomedical applications.
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Affiliation(s)
- Yating Deng
- Britton Chance Center for Biomedical Photonics- MoE Key Laboratory for Biomedical Photonics, Advanced Biomedical Imaging Facility, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - Jingtan Zhu
- Britton Chance Center for Biomedical Photonics- MoE Key Laboratory for Biomedical Photonics, Advanced Biomedical Imaging Facility, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - Xiaomei Liu
- Britton Chance Center for Biomedical Photonics- MoE Key Laboratory for Biomedical Photonics, Advanced Biomedical Imaging Facility, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - Junyao Dai
- Britton Chance Center for Biomedical Photonics- MoE Key Laboratory for Biomedical Photonics, Advanced Biomedical Imaging Facility, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - Tingting Yu
- Britton Chance Center for Biomedical Photonics- MoE Key Laboratory for Biomedical Photonics, Advanced Biomedical Imaging Facility, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics- MoE Key Laboratory for Biomedical Photonics, Advanced Biomedical Imaging Facility, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
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6
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Gao P, Rivera M, Lin X, Holmes TC, Zhao H, Xu X. Immunolabeling-compatible PEGASOS tissue clearing for high-resolution whole mouse brain imaging. Front Neural Circuits 2024; 18:1345692. [PMID: 38694272 PMCID: PMC11061518 DOI: 10.3389/fncir.2024.1345692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/13/2024] [Indexed: 05/04/2024] Open
Abstract
Novel brain clearing methods revolutionize imaging by increasing visualization throughout the brain at high resolution. However, combining the standard tool of immunostaining targets of interest with clearing methods has lagged behind. We integrate whole-mount immunostaining with PEGASOS tissue clearing, referred to as iPEGASOS (immunostaining-compatible PEGASOS), to address the challenge of signal quenching during clearing processes. iPEGASOS effectively enhances molecular-genetically targeted fluorescent signals that are otherwise compromised during conventional clearing procedures. Additionally, we demonstrate the utility of iPEGASOS for visualizing neurochemical markers or viral labels to augment visualization that transgenic mouse lines cannot provide. Our study encompasses three distinct applications, each showcasing the versatility and efficacy of this approach. We employ whole-mount immunostaining to enhance molecular signals in transgenic reporter mouse lines to visualize the whole-brain spatial distribution of specific cellular populations. We also significantly improve the visualization of neural circuit connections by enhancing signals from viral tracers injected into the brain. Last, we show immunostaining without genetic markers to selectively label beta-amyloid deposits in a mouse model of Alzheimer's disease, facilitating the comprehensive whole-brain study of pathological features.
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Affiliation(s)
- Pan Gao
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Matthew Rivera
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Xiaoxiao Lin
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Todd C. Holmes
- Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, Irvine, CA, United States
- Center for Neural Circuit Mapping, University of California, Irvine, Irvine, CA, United States
| | - Hu Zhao
- Chinese Institute for Brain Research, Beijing, China
| | - Xiangmin Xu
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA, United States
- Center for Neural Circuit Mapping, University of California, Irvine, Irvine, CA, United States
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7
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Bishop KW, Erion Barner LA, Han Q, Baraznenok E, Lan L, Poudel C, Gao G, Serafin RB, Chow SSL, Glaser AK, Janowczyk A, Brenes D, Huang H, Miyasato D, True LD, Kang S, Vaughan JC, Liu JTC. An end-to-end workflow for nondestructive 3D pathology. Nat Protoc 2024; 19:1122-1148. [PMID: 38263522 DOI: 10.1038/s41596-023-00934-4] [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: 07/27/2023] [Accepted: 10/23/2023] [Indexed: 01/25/2024]
Abstract
Recent advances in 3D pathology offer the ability to image orders of magnitude more tissue than conventional pathology methods while also providing a volumetric context that is not achievable with 2D tissue sections, and all without requiring destructive tissue sectioning. Generating high-quality 3D pathology datasets on a consistent basis, however, is not trivial and requires careful attention to a series of details during tissue preparation, imaging and initial data processing, as well as iterative optimization of the entire process. Here, we provide an end-to-end procedure covering all aspects of a 3D pathology workflow (using light-sheet microscopy as an illustrative imaging platform) with sufficient detail to perform well-controlled preclinical and clinical studies. Although 3D pathology is compatible with diverse staining protocols and computationally generated color palettes for visual analysis, this protocol focuses on the use of a fluorescent analog of hematoxylin and eosin, which remains the most common stain used for gold-standard pathological reports. We present our guidelines for a broad range of end users (e.g., biologists, clinical researchers and engineers) in a simple format. The end-to-end workflow requires 3-6 d to complete, bearing in mind that data analysis may take longer.
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Affiliation(s)
- Kevin W Bishop
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | | | - Qinghua Han
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Elena Baraznenok
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Lydia Lan
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Biology, University of Washington, Seattle, WA, USA
| | - Chetan Poudel
- Department of Chemistry, University of Washington, Seattle, WA, USA
| | - Gan Gao
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Robert B Serafin
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Sarah S L Chow
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Adam K Glaser
- Allen Institute for Neural Dynamics, Seattle, WA, USA
| | - Andrew Janowczyk
- Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
- Department of Oncology, Division of Precision Oncology, University Hospital of Geneva, Geneva, Switzerland
- Department of Diagnostics, Division of Clinical Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - David Brenes
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Hongyi Huang
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Dominie Miyasato
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Lawrence D True
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Soyoung Kang
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Joshua C Vaughan
- Department of Chemistry, University of Washington, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Jonathan T C Liu
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA.
- Department of Bioengineering, University of Washington, Seattle, WA, USA.
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
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8
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Mai H, Luo J, Hoeher L, Al-Maskari R, Horvath I, Chen Y, Kofler F, Piraud M, Paetzold JC, Modamio J, Todorov M, Elsner M, Hellal F, Ertürk A. Whole-body cellular mapping in mouse using standard IgG antibodies. Nat Biotechnol 2024; 42:617-627. [PMID: 37430076 PMCID: PMC11021200 DOI: 10.1038/s41587-023-01846-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 05/26/2023] [Indexed: 07/12/2023]
Abstract
Whole-body imaging techniques play a vital role in exploring the interplay of physiological systems in maintaining health and driving disease. We introduce wildDISCO, a new approach for whole-body immunolabeling, optical clearing and imaging in mice, circumventing the need for transgenic reporter animals or nanobody labeling and so overcoming existing technical limitations. We identified heptakis(2,6-di-O-methyl)-β-cyclodextrin as a potent enhancer of cholesterol extraction and membrane permeabilization, enabling deep, homogeneous penetration of standard antibodies without aggregation. WildDISCO facilitates imaging of peripheral nervous systems, lymphatic vessels and immune cells in whole mice at cellular resolution by labeling diverse endogenous proteins. Additionally, we examined rare proliferating cells and the effects of biological perturbations, as demonstrated in germ-free mice. We applied wildDISCO to map tertiary lymphoid structures in the context of breast cancer, considering both primary tumor and metastases throughout the mouse body. An atlas of high-resolution images showcasing mouse nervous, lymphatic and vascular systems is accessible at http://discotechnologies.org/wildDISCO/atlas/index.php .
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Affiliation(s)
- Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Munich Medical Research School, Munich, Germany
- Deep Piction GmbH, Munich, Germany
| | - Jie Luo
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Deep Piction GmbH, Munich, Germany
| | - Luciano Hoeher
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
| | - Rami Al-Maskari
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Izabela Horvath
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Ying Chen
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Faculty of Medicine, Ludwig-Maximilians University of Munich, Munich, Germany
| | - Florian Kofler
- Helmholtz Al, Helmholtz Center Munich, Neuherberg, Germany
- Department of Informatics, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Marie Piraud
- Helmholtz Al, Helmholtz Center Munich, Neuherberg, Germany
| | - Johannes C Paetzold
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Department of Computing, Imperial College London, London, UK
| | - Jennifer Modamio
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
| | - Mihail Todorov
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Markus Elsner
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
| | - Farida Hellal
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany.
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany.
- Deep Piction GmbH, Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
- Graduate School of Neuroscience (GSN), Munich, Germany.
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9
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Youk J, Kwon HW, Lim J, Kim E, Kim T, Kim R, Park S, Yi K, Nam CH, Jeon S, An Y, Choi J, Na H, Lee ES, Cho Y, Min DW, Kim H, Kang YR, Choi SH, Bae MJ, Lee CG, Kim JG, Kim YS, Yu T, Lee WC, Shin JY, Lee DS, Kim TY, Ku T, Kim SY, Lee JH, Koo BK, Lee H, Yi OV, Han EC, Chang JH, Kim KS, Son TG, Ju YS. Quantitative and qualitative mutational impact of ionizing radiation on normal cells. CELL GENOMICS 2024; 4:100499. [PMID: 38359788 PMCID: PMC10879144 DOI: 10.1016/j.xgen.2024.100499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 10/23/2023] [Accepted: 01/09/2024] [Indexed: 02/17/2024]
Abstract
The comprehensive genomic impact of ionizing radiation (IR), a carcinogen, on healthy somatic cells remains unclear. Using large-scale whole-genome sequencing (WGS) of clones expanded from irradiated murine and human single cells, we revealed that IR induces a characteristic spectrum of short insertions or deletions (indels) and structural variations (SVs), including balanced inversions, translocations, composite SVs (deletion-insertion, deletion-inversion, and deletion-translocation composites), and complex genomic rearrangements (CGRs), including chromoplexy, chromothripsis, and SV by breakage-fusion-bridge cycles. Our findings suggest that 1 Gy IR exposure causes an average of 2.33 mutational events per Gb genome, comprising 2.15 indels, 0.17 SVs, and 0.01 CGRs, despite a high level of inter-cellular stochasticity. The mutational burden was dependent on total irradiation dose, regardless of dose rate or cell type. The findings were further validated in IR-induced secondary cancers and single cells without clonalization. Overall, our study highlights a comprehensive and clear picture of IR effects on normal mammalian genomes.
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Affiliation(s)
- Jeonghwan Youk
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Hyun Woo Kwon
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea; Department of Nuclear Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Joonoh Lim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; Genome Insight, Inc., San Diego, CA 92121, USA
| | - Eunji Kim
- Department of Radiation Oncology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 20, Boramae-ro 5 Gil, Dongjak-gu, Seoul 07061, Republic of Korea; Department of Radiation Oncology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Taewoo Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Ryul Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; Genome Insight, Inc., San Diego, CA 92121, USA
| | - Seongyeol Park
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; Genome Insight, Inc., San Diego, CA 92121, USA
| | - Kijong Yi
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; Genome Insight, Inc., San Diego, CA 92121, USA
| | - Chang Hyun Nam
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Sara Jeon
- Department of Biological Sciences & IMBG, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
| | - Yohan An
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Jinwook Choi
- Wellcome - MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, CB2 0AW Cambridge, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, CB2 3EL Cambridge, UK
| | - Hyelin Na
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Eon-Seok Lee
- Research Center, Dongnam Institute of Radiological and Medical Science, Busan, Republic of Korea
| | - Youngwon Cho
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea; Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Dong-Wook Min
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea; Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - HyoJin Kim
- Research Center, Dongnam Institute of Radiological and Medical Science, Busan, Republic of Korea
| | - Yeong-Rok Kang
- Research Center, Dongnam Institute of Radiological and Medical Science, Busan, Republic of Korea
| | - Si Ho Choi
- Research Center, Dongnam Institute of Radiological and Medical Science, Busan, Republic of Korea
| | - Min Ji Bae
- Research Center, Dongnam Institute of Radiological and Medical Science, Busan, Republic of Korea
| | - Chang Geun Lee
- Research Center, Dongnam Institute of Radiological and Medical Science, Busan, Republic of Korea
| | - Joon-Goon Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; KI for Health Science and Technology, KAIST, Daejeon 34141, Republic of Korea
| | - Young Seo Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; KI for Health Science and Technology, KAIST, Daejeon 34141, Republic of Korea
| | - Tosol Yu
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Radiation Oncology, Dongnam Institute of Radiological and Medical Science, Busan 46033, Republic of Korea
| | | | | | - Dong Soo Lee
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea; Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Tae-You Kim
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea; Cancer Research Institute, Seoul National University, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | - Taeyun Ku
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; KI for Health Science and Technology, KAIST, Daejeon 34141, Republic of Korea
| | - Su Yeon Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Joo-Hyeon Lee
- Wellcome - MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, CB2 0AW Cambridge, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, CB2 3EL Cambridge, UK
| | - Bon-Kyoung Koo
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Dr. Bohr-Gasse 3, 1030 Vienna, Austria
| | - Hyunsook Lee
- Department of Biological Sciences & IMBG, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
| | - On Vox Yi
- Department of Breast Surgery, Dongnam Institute of Radiological and Medical Science, Busan, Republic of Korea
| | - Eon Chul Han
- Department of Surgery, Dongnam Institute of Radiological and Medical Science, Busan, Republic of Korea
| | - Ji Hyun Chang
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.
| | - Kyung Su Kim
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.
| | - Tae Gen Son
- Research Center, Dongnam Institute of Radiological and Medical Science, Busan, Republic of Korea.
| | - Young Seok Ju
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; Genome Insight, Inc., San Diego, CA 92121, USA.
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10
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Yoon JH, Jin H, Kim HJ, Hong SP, Yang MJ, Ahn JH, Kim YC, Seo J, Lee Y, McDonald DM, Davis MJ, Koh GY. Nasopharyngeal lymphatic plexus is a hub for cerebrospinal fluid drainage. Nature 2024; 625:768-777. [PMID: 38200313 PMCID: PMC10808075 DOI: 10.1038/s41586-023-06899-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 11/24/2023] [Indexed: 01/12/2024]
Abstract
Cerebrospinal fluid (CSF) in the subarachnoid space around the brain has long been known to drain through the lymphatics to cervical lymph nodes1-17, but the connections and regulation have been challenging to identify. Here, using fluorescent CSF tracers in Prox1-GFP lymphatic reporter mice18, we found that the nasopharyngeal lymphatic plexus is a major hub for CSF outflow to deep cervical lymph nodes. This plexus had unusual valves and short lymphangions but no smooth-muscle coverage, whereas downstream deep cervical lymphatics had typical semilunar valves, long lymphangions and smooth muscle coverage that transported CSF to the deep cervical lymph nodes. α-Adrenergic and nitric oxide signalling in the smooth muscle cells regulated CSF drainage through the transport properties of deep cervical lymphatics. During ageing, the nasopharyngeal lymphatic plexus atrophied, but deep cervical lymphatics were not similarly altered, and CSF outflow could still be increased by adrenergic or nitric oxide signalling. Single-cell analysis of gene expression in lymphatic endothelial cells of the nasopharyngeal plexus of aged mice revealed increased type I interferon signalling and other inflammatory cytokines. The importance of evidence for the nasopharyngeal lymphatic plexus functioning as a CSF outflow hub is highlighted by its regression during ageing. Yet, the ageing-resistant pharmacological activation of deep cervical lymphatic transport towards lymph nodes can still increase CSF outflow, offering an approach for augmenting CSF clearance in age-related neurological conditions in which greater efflux would be beneficial.
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Affiliation(s)
- Jin-Hui Yoon
- Center for Vascular Research, Institute for Basic Science, Daejeon, Republic of Korea
| | - Hokyung Jin
- Center for Vascular Research, Institute for Basic Science, Daejeon, Republic of Korea
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Hae Jin Kim
- Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, MO, USA
| | - Seon Pyo Hong
- Center for Vascular Research, Institute for Basic Science, Daejeon, Republic of Korea
| | - Myung Jin Yang
- Center for Vascular Research, Institute for Basic Science, Daejeon, Republic of Korea
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Ji Hoon Ahn
- Center for Vascular Research, Institute for Basic Science, Daejeon, Republic of Korea
| | - Young-Chan Kim
- Center for Vascular Research, Institute for Basic Science, Daejeon, Republic of Korea
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Jincheol Seo
- National Primates Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea
| | - Yongjeon Lee
- National Primates Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea
| | - Donald M McDonald
- Department of Anatomy, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Michael J Davis
- Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, MO, USA.
| | - Gou Young Koh
- Center for Vascular Research, Institute for Basic Science, Daejeon, Republic of Korea.
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
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11
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Jiang T, Gong H, Yuan J. Whole-brain Optical Imaging: A Powerful Tool for Precise Brain Mapping at the Mesoscopic Level. Neurosci Bull 2023; 39:1840-1858. [PMID: 37715920 PMCID: PMC10661546 DOI: 10.1007/s12264-023-01112-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 05/08/2023] [Indexed: 09/18/2023] Open
Abstract
The mammalian brain is a highly complex network that consists of millions to billions of densely-interconnected neurons. Precise dissection of neural circuits at the mesoscopic level can provide important structural information for understanding the brain. Optical approaches can achieve submicron lateral resolution and achieve "optical sectioning" by a variety of means, which has the natural advantage of allowing the observation of neural circuits at the mesoscopic level. Automated whole-brain optical imaging methods based on tissue clearing or histological sectioning surpass the limitation of optical imaging depth in biological tissues and can provide delicate structural information in a large volume of tissues. Combined with various fluorescent labeling techniques, whole-brain optical imaging methods have shown great potential in the brain-wide quantitative profiling of cells, circuits, and blood vessels. In this review, we summarize the principles and implementations of various whole-brain optical imaging methods and provide some concepts regarding their future development.
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Affiliation(s)
- Tao Jiang
- Huazhong University of Science and Technology-Suzhou Institute for Brainsmatics, Jiangsu Industrial Technology Research Institute, Suzhou, 215123, China
| | - Hui Gong
- Huazhong University of Science and Technology-Suzhou Institute for Brainsmatics, Jiangsu Industrial Technology Research Institute, Suzhou, 215123, China
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jing Yuan
- Huazhong University of Science and Technology-Suzhou Institute for Brainsmatics, Jiangsu Industrial Technology Research Institute, Suzhou, 215123, China.
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
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12
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Song CW, Ahn J, Yong I, Kim N, Park CE, Kim S, Chung S, Kim P, Kim I, Chang J. Metallization of Targeted Protein Assemblies in Cell-Derived Extracellular Matrix by Antibody-Guided Biotemplating. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2302830. [PMID: 37852942 PMCID: PMC10724409 DOI: 10.1002/advs.202302830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/30/2023] [Indexed: 10/20/2023]
Abstract
Biological systems are composed of hierarchical structures made of a large number of proteins. These structures are highly sophisticated and challenging to replicate using artificial synthesis methods. To exploit these structures in materials science, biotemplating is used to achieve biocomposites that accurately mimic biological structures and impart functionality of inorganic materials, including electrical conductivity. However, the biological scaffolds used in previous studies are limited to stereotypical and simple morphologies with little synthetic diversity because of a lack of control over their morphologies. This study proposes that the specific protein assemblies within the cell-derived extracellular matrix (ECM), whose morphological features are widely tailorable, can be employed as versatile biotemplates. In a typical procedure, a fibrillar assembly of fibronectin-a constituent protein of the ECM-is metalized through an antibody-guided biotemplating approach. Specifically, the antibody-bearing nanogold is attached to the fibronectin through antibody-antigen interactions, and then metals are grown on the nanogold acting as a seed. The biomimetic structure can be adapted for hydrogen production and sensing after improving its electrical conductivity through thermal sintering or additional metal growth. This study demonstrates that cell-derived ECM can be an attractive option for addressing the diversity limitation of a conventional biotemplate.
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Affiliation(s)
- Chang Woo Song
- Department of Materials Science and EngineeringKorea Advanced Institute of Science and Technology (KAIST)291 Daehak‐roDaejeon34141Republic of Korea
| | - Jaewan Ahn
- Department of Materials Science and EngineeringKorea Advanced Institute of Science and Technology (KAIST)291 Daehak‐roDaejeon34141Republic of Korea
| | - Insung Yong
- Department of Bio and Brain EngineeringKorea Advanced Institute of Science and Technology (KAIST)291 Daehak‐roDaejeon34141Republic of Korea
| | - Nakhyun Kim
- Department of Materials Science and EngineeringKorea Advanced Institute of Science and Technology (KAIST)291 Daehak‐roDaejeon34141Republic of Korea
| | - Chan E Park
- Department of Materials Science and EngineeringKorea Advanced Institute of Science and Technology (KAIST)291 Daehak‐roDaejeon34141Republic of Korea
| | - Sein Kim
- Department of Biomedical EngineeringSungkyunkwan University (SKKU)Suwon16419Republic of Korea
| | - Sung‐Yoon Chung
- Department of Materials Science and EngineeringKorea Advanced Institute of Science and Technology (KAIST)291 Daehak‐roDaejeon34141Republic of Korea
| | - Pilnam Kim
- Department of Bio and Brain EngineeringKorea Advanced Institute of Science and Technology (KAIST)291 Daehak‐roDaejeon34141Republic of Korea
| | - Il‐Doo Kim
- Department of Materials Science and EngineeringKorea Advanced Institute of Science and Technology (KAIST)291 Daehak‐roDaejeon34141Republic of Korea
| | - Jae‐Byum Chang
- Department of Materials Science and EngineeringKorea Advanced Institute of Science and Technology (KAIST)291 Daehak‐roDaejeon34141Republic of Korea
- Department of Biological SciencesKorea Advanced Institute of Science and Technology (KAIST)291 Daehak‐roDaejeon34141Republic of Korea
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13
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Balaram P, Takasaki K, Hellevik A, Tandukar J, Turschak E, MacLennan B, Ouellette N, Torres R, Laughland C, Gliko O, Seshamani S, Perlman E, Taormina M, Peterson E, Juneau Z, Potekhina L, Glaser A, Chandrashekar J, Logsdon M, Cao K, Dylla C, Hatanaka G, Chatterjee S, Ting J, Vumbaco D, Waters J, Bair W, Tsao D, Gao R, Reid C. Microscale visualization of cellular features in adult macaque visual cortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.02.565381. [PMID: 37961179 PMCID: PMC10635096 DOI: 10.1101/2023.11.02.565381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Expansion microscopy and light sheet imaging enable fine-scale resolution of intracellular features that comprise neural circuits. Most current techniques visualize sparsely distributed features across whole brains or densely distributed features within individual brain regions. Here, we visualize dense distributions of immunolabeled proteins across early visual cortical areas in adult macaque monkeys. This process may be combined with multiphoton or magnetic resonance imaging to produce multimodal atlases in large, gyrencephalic brains.
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14
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Bishop KW, Barner LAE, Han Q, Baraznenok E, Lan L, Poudel C, Gao G, Serafin RB, Chow SS, Glaser AK, Janowczyk A, Brenes D, Huang H, Miyasato D, True LD, Kang S, Vaughan JC, Liu JT. An end-to-end workflow for non-destructive 3D pathology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.03.551845. [PMID: 37577615 PMCID: PMC10418226 DOI: 10.1101/2023.08.03.551845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Recent advances in 3D pathology offer the ability to image orders-of-magnitude more tissue than conventional pathology while providing a volumetric context that is lacking with 2D tissue sections, all without requiring destructive tissue sectioning. Generating high-quality 3D pathology datasets on a consistent basis is non-trivial, requiring careful attention to many details regarding tissue preparation, imaging, and data/image processing in an iterative process. Here we provide an end-to-end protocol covering all aspects of a 3D pathology workflow (using light-sheet microscopy as an illustrative imaging platform) with sufficient detail to perform well-controlled preclinical and clinical studies. While 3D pathology is compatible with diverse staining protocols and computationally generated color palettes for visual analysis, this protocol will focus on a fluorescent analog of hematoxylin and eosin (H&E), which remains the most common stain for gold-standard diagnostic determinations. We present our guidelines for a broad range of end-users (e.g., biologists, clinical researchers, and engineers) in a simple tutorial format.
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Affiliation(s)
- Kevin W. Bishop
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | | | - Qinghua Han
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Elena Baraznenok
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Lydia Lan
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Department of Biology, University of Washington, Seattle, Washington, USA
| | - Chetan Poudel
- Department of Chemistry, University of Washington, Seattle, Washington, USA
| | - Gan Gao
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Robert B. Serafin
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Sarah S.L. Chow
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Adam K. Glaser
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Andrew Janowczyk
- Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA
- Department of Oncology, Division of Precision Oncology, University Hospital of Geneva, Geneva, Switzerland
- Department of Clinical Pathology, Division of Clinical Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - David Brenes
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Hongyi Huang
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Dominie Miyasato
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Lawrence D. True
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Soyoung Kang
- Department of Mechanical Engineering, 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
| | - Jonathan T.C. Liu
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
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15
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Rosen G, Kirsch D, Horowitz S, Cherry JD, Nicks R, Kelley H, Uretsky M, Dell'Aquila K, Mathias R, Cormier KA, Kubilus CA, Mez J, Tripodis Y, Stein TD, Alvarez VE, Alosco ML, McKee AC, Huber BR. Three dimensional evaluation of cerebrovascular density and branching in chronic traumatic encephalopathy. Acta Neuropathol Commun 2023; 11:123. [PMID: 37491342 PMCID: PMC10369801 DOI: 10.1186/s40478-023-01612-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: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/27/2023] Open
Abstract
Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease associated with exposure to repetitive head impacts (RHI) and characterized by perivascular accumulations of hyperphosphorylated tau protein (p-tau) at the depths of the cortical sulci. Studies of living athletes exposed to RHI, including concussive and nonconcussive impacts, have shown increased blood-brain barrier permeability, reduced cerebral blood flow, and alterations in vasoreactivity. Blood-brain barrier abnormalities have also been reported in individuals neuropathologically diagnosed with CTE. To further investigate the three-dimensional microvascular changes in individuals diagnosed with CTE and controls, we used SHIELD tissue processing and passive delipidation to optically clear and label blocks of postmortem human dorsolateral frontal cortex. We used fluorescent confocal microscopy to quantitate vascular branch density and fraction volume. We compared the findings in 41 male brain donors, age at death 31-89 years, mean age 64 years, including 12 donors with low CTE (McKee stage I-II), 13 with high CTE (McKee stage III-IV) to 16 age- and sex-matched non-CTE controls (7 with RHI exposure and 9 with no RHI exposure). The density of vessel branches in the gray matter sulcus was significantly greater in CTE cases than in controls. The ratios of sulcus versus gyrus vessel branch density and fraction volume were also greater in CTE than in controls and significantly above one for the CTE group. Hyperphosphorylated tau pathology density correlated with gray matter sulcus fraction volume. These findings point towards increased vascular coverage and branching in the dorsolateral frontal cortex (DLF) sulci in CTE, that correlates with p-tau pathology.
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Affiliation(s)
- Grace Rosen
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- National Center for PTSD, US Department of Veterans Affairs, Boston, MA, USA
| | - Daniel Kirsch
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
| | - Sarah Horowitz
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- National Center for PTSD, US Department of Veterans Affairs, Boston, MA, USA
| | - Jonathan D Cherry
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Raymond Nicks
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Hunter Kelley
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Madeline Uretsky
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Kevin Dell'Aquila
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Rebecca Mathias
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
| | - Kerry A Cormier
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
- VA Bedford Healthcare System, US Department of Veterans Affairs, Bedford, MA, USA
| | - Caroline A Kubilus
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
- VA Bedford Healthcare System, US Department of Veterans Affairs, Bedford, MA, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, USA
| | - Thor D Stein
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Victor E Alvarez
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Michael L Alosco
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Ann C McKee
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
- VA Bedford Healthcare System, US Department of Veterans Affairs, Bedford, MA, USA
| | - Bertrand R Huber
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA.
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA.
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA.
- National Center for PTSD, US Department of Veterans Affairs, Boston, MA, USA.
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16
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La W, Seo J, Heo E, Chang JB. Expandable ELAST for super-resolution imaging of thick tissue slices using a hydrogel containing charged monomers. Sci Rep 2023; 13:11929. [PMID: 37488163 PMCID: PMC10366192 DOI: 10.1038/s41598-023-38891-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 07/17/2023] [Indexed: 07/26/2023] Open
Abstract
Hydrogels have been utilized extensively as a material for retaining position information in tissue imaging procedures, such as tissue clearing and super-resolution imaging. Immunostaining thick biological tissues, however, poses a bottleneck that restricts sample size. The recently developed technique known as entangled link-augmented stretchable tissue-hydrogel (ELAST) accelerates the immunostaining process by embedding specimens in long-chain polymers and stretching them. A more advanced version of ELAST, magnifiable entangled link-augmented stretchable tissue-hydrogel (mELAST), achieves rapid immunostaining and tissue expansion by embedding specimens in long-chain neutral polymers and subsequently hydrolyzing them. Building on these techniques, we introduce a variant of mELAST called ExELAST. This approach uses charged monomers to stretch and expand tissue slices. Using ExELAST, we first tested two hydrogel compositions that could permit uniform expansion of biological specimens. Then, we apply the tailored hydrogel to the 500-μm-thick mouse brain slices and demonstrated that they can be stained within two days and imaged with a resolution below the diffraction limit of light.
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Affiliation(s)
- Woonggi La
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, South Korea
| | - Junyoung Seo
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, South Korea
| | - Eunseok Heo
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, South Korea
| | - Jae-Byum Chang
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, South Korea.
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, 34141, South Korea.
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17
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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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18
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Yau CN, Lai HM, Lee K, Kwok AJ, Huang J, Ko H. Principles of deep immunohistochemistry for 3D histology. CELL REPORTS METHODS 2023; 3:100458. [PMID: 37323568 PMCID: PMC10261851 DOI: 10.1016/j.crmeth.2023.100458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Deep immunohistochemistry (IHC) is a nascent field in three-dimensional (3D) histology that seeks to achieve thorough, homogeneous, and specific staining of intact tissues for visualization of microscopic architectures and molecular compositions at large spatial scales. Despite the tremendous potential of deep IHC in revealing molecule-structure-function relationships in biology and establishing diagnostic and prognostic features for pathological samples in clinical practice, the complexities and variations in methodologies may hinder its use by interested users. We provide a unified framework of deep immunostaining techniques by discussing the theoretical considerations of the physicochemical processes involved, summarizing the principles applied in contemporary methods, advocating a standardized benchmarking scheme, and highlighting unaddressed issues and future directions. By providing the essential information to guide investigators in customizing immunolabeling pipelines, we also seek to facilitate the adoption of deep IHC for researchers to address a wide range of research questions.
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Affiliation(s)
- Chun Ngo Yau
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Hei Ming Lai
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Krit Lee
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Andrew J. Kwok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Junzhe Huang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Ho Ko
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
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19
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Balcioglu A, Gillani R, Doron M, Burnell K, Ku T, Erisir A, Chung K, Segev I, Nedivi E. Mapping thalamic innervation to individual L2/3 pyramidal neurons and modeling their 'readout' of visual input. Nat Neurosci 2023; 26:470-480. [PMID: 36732641 DOI: 10.1038/s41593-022-01253-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 12/21/2022] [Indexed: 02/04/2023]
Abstract
The thalamus is the main gateway for sensory information from the periphery to the mammalian cerebral cortex. A major conundrum has been the discrepancy between the thalamus's central role as the primary feedforward projection system into the neocortex and the sparseness of thalamocortical synapses. Here we use new methods, combining genetic tools and scalable tissue expansion microscopy for whole-cell synaptic mapping, revealing the number, density and size of thalamic versus cortical excitatory synapses onto individual layer 2/3 (L2/3) pyramidal cells (PCs) of the mouse primary visual cortex. We find that thalamic inputs are not only sparse, but remarkably heterogeneous in number and density across individual dendrites and neurons. Most surprising, despite their sparseness, thalamic synapses onto L2/3 PCs are smaller than their cortical counterparts. Incorporating these findings into fine-scale, anatomically faithful biophysical models of L2/3 PCs reveals how individual neurons with sparse and weak thalamocortical synapses, embedded in small heterogeneous neuronal ensembles, may reliably 'read out' visually driven thalamic input.
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Affiliation(s)
- Aygul Balcioglu
- Picower Institute for Learning and Memory, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Rebecca Gillani
- Picower Institute for Learning and Memory, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Michael Doron
- The Edmond and Lily Safra Center for Brain Sciences, Jerusalem, Israel
- Department of Neurobiology, The Hebrew University of Jerusalem, Jerusalem, Israel
- Broad Institute of Harvard University and MIT, Cambridge, MA, USA
| | - Kendyll Burnell
- Picower Institute for Learning and Memory, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Taeyun Ku
- Picower Institute for Learning and Memory, Cambridge, MA, USA
- Institute for Medical Engineering and Science, Cambridge, MA, USA
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Alev Erisir
- Department of Psychology, University of Virginia, Charlottesville, VA, USA
| | - Kwanghun Chung
- Picower Institute for Learning and Memory, Cambridge, MA, USA
- Department of Neurobiology, The Hebrew University of Jerusalem, Jerusalem, Israel
- Institute for Medical Engineering and Science, Cambridge, MA, USA
- Broad Institute of Harvard University and MIT, Cambridge, MA, USA
| | - Idan Segev
- The Edmond and Lily Safra Center for Brain Sciences, Jerusalem, Israel
- Department of Neurobiology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Elly Nedivi
- Picower Institute for Learning and Memory, Cambridge, MA, USA.
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
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20
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Kim H, Jang EJ, Sankpal NV, Patel M, Patel R. Recent Development of Brain Organoids for Biomedical Application. Macromol Biosci 2023; 23:e2200346. [PMID: 36469016 DOI: 10.1002/mabi.202200346] [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: 08/18/2022] [Revised: 11/11/2022] [Indexed: 12/12/2022]
Abstract
Over the years, scientists have studied the behavior and anatomy of many animals to understand the own species. However, despite the continuous efforts, it is often difficult to know for certain how the brain works due to the differences between the brains of animals and the human brain. While the use of animal models for research continues, the origin of human cognition and neurological disorders needs further elucidation. To that end, in vitro organoids that exhibit in vivo characteristics of the human brain have been recently developed. These brain-like organoids enable researchers to dive deeper into understanding the human brain, its neurological structures, and the causes of neurological pathologies. This paper reviews the recent developments in the regeneration of brain-like organoids using Matrigel and other alternatives. Further, gel-free methods that may enhance the regeneration process of organoids are discussed. Finally, the vascularized brain organoid growth and development in both in vitro and in vivo conditions are detailed.
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Affiliation(s)
- HanSol Kim
- Bio-Convergence (BC), Integrated Science and Engineering Division (ISED), Underwood International College, Yonsei University, 85 Songdogwahak-ro, Yeonsu-gu, Incheon, 21983, South Korea
| | - Eun Jo Jang
- Nano Science and Engineering, Integrated Science and Engineering Division (ISED), Underwood International College, Yonsei University, Songdogwahak-ro, Yeonsu-gu, Incheon, 21983, South Korea
| | - Narendra V Sankpal
- Norton Thoracic Institute St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA
| | - Madhumita Patel
- Department of Chemistry and Nanoscience, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, South Korea
| | - Rajkumar Patel
- Energy & Environmental Science and Engineering (EESE), Integrated Science and Engineering Division (ISED), Underwood International College, Yonsei University, 85 Songdogwahak-ro, Yeonsugu, Incheon, 21938, South Korea
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21
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Three-dimensional visualization of human brain tumors using the CUBIC technique. Brain Tumor Pathol 2023; 40:4-14. [PMID: 36370248 DOI: 10.1007/s10014-022-00445-2] [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: 06/27/2022] [Accepted: 11/06/2022] [Indexed: 11/13/2022]
Abstract
Application of tissue clearing techniques on human brain tumors is still limited. This study was to investigate the application of CUBIC on 3D pathological studies of human brain tumors. Brain tumor specimens derived from 21 patients were cleared with CUBIC. Immunostaining was conducted on cleared specimens to label astrocytes, microglia and microvessels, respectively. All tumor specimens achieved transparency after clearing. Immunostaining and CUBIC are well compatible in a variety of human brain tumors. Spatial morphologies of microvessels, astrocytes and microglia of tumors were clearly visualized in 3D, and their 3D morphological parameters were easily quantified. By comparing the quantitative morphological parameters of microvessels among brain tumors of different malignancy, we found that mean vascular diameter was positively correlated with tumor malignancy. Our study demonstrates that CUBIC can be successfully applied to 3D pathological studies of various human brain tumors, and 3D studies of human brain tumors hold great promise in helping us better understand brain tumor pathology in the future.
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22
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Yang J, Chang S, Chen IA, Kura S, Rosen GA, Saltiel NA, Huber BR, Varadarajan D, Balbastre Y, Magnain C, Chen SC, Fischl B, McKee AC, Boas DA, Wang H. Volumetric Characterization of Microvasculature in Ex Vivo Human Brain Samples By Serial Sectioning Optical Coherence Tomography. IEEE Trans Biomed Eng 2022; 69:3645-3656. [PMID: 35560084 PMCID: PMC9888394 DOI: 10.1109/tbme.2022.3175072] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Serial sectioning optical coherence tomography (OCT) enables accurate volumetric reconstruction of several cubic centimeters of human brain samples. We aimed to identify anatomical features of the ex vivo human brain, such as intraparenchymal blood vessels and axonal fiber bundles, from the OCT data in 3D, using intrinsic optical contrast. METHODS We developed an automatic processing pipeline to enable characterization of the intraparenchymal microvascular network in human brain samples. RESULTS We demonstrated the automatic extraction of the vessels down to a 20 μm in diameter using a filtering strategy followed by a graphing representation and characterization of the geometrical properties of microvascular network in 3D. We also showed the ability to extend this processing strategy to extract axonal fiber bundles from the volumetric OCT image. CONCLUSION This method provides a viable tool for quantitative characterization of volumetric microvascular network as well as the axonal bundle properties in normal and pathological tissues of the ex vivo human brain.
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23
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Pac J, Koo DJ, Cho H, Jung D, Choi MH, Choi Y, Kim B, Park JU, Kim SY, Lee Y. Three-dimensional imaging and analysis of pathological tissue samples with de novo generation of citrate-based fluorophores. SCIENCE ADVANCES 2022; 8:eadd9419. [PMID: 36383671 PMCID: PMC9668299 DOI: 10.1126/sciadv.add9419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 09/29/2022] [Indexed: 06/16/2023]
Abstract
Two-dimensional (2D) histopathology based on the observation of thin tissue slides is the current paradigm in diagnosis and prognosis. However, labeling strategies in conventional histopathology are limited in compatibility with 3D imaging combined with tissue clearing techniques. Here, we present a rapid and efficient volumetric imaging technique of pathological tissues called 3D tissue imaging through de novo formation of fluorophores, or 3DNFC, which is the integration of citrate-based fluorogenic reaction DNFC and tissue clearing techniques. 3DNFC markedly increases the fluorescence intensity of tissues by generating fluorophores on nonfluorescent amino-terminal cysteine and visualizes the 3D structure of the tissues to provide their anatomical morphology and volumetric information. Furthermore, the application of 3DNFC to pathological tissue achieves the 3D reconstruction for the unbiased analysis of diverse features of the disorders in their natural context. We suggest that 3DNFC is a promising volumetric imaging method for the prognosis and diagnosis of pathological tissues.
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Affiliation(s)
- Jinyoung Pac
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea
| | - Dong-Jun Koo
- Institute of Molecular Biology and Genetics, Seoul National University, Seoul 08826, South Korea
| | - Hyeongjun Cho
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea
- Institute of Molecular Biology and Genetics, Seoul National University, Seoul 08826, South Korea
| | - Dongwook Jung
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea
| | - Min-ha Choi
- Department of Plastic and Reconstructive Surgery, Seoul National University Boramae Hospital, Seoul National University College of Medicine, 5 Gil 20, Boramae Road, Dongjak-Gu, Seoul 07061, South Korea
| | - Yunjung Choi
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea
| | - Bohyun Kim
- Department of Pathology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, South Korea
| | - Ji-Ung Park
- Department of Plastic and Reconstructive Surgery, Seoul National University Boramae Hospital, Seoul National University College of Medicine, 5 Gil 20, Boramae Road, Dongjak-Gu, Seoul 07061, South Korea
| | - Sung-Yon Kim
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea
- Institute of Molecular Biology and Genetics, Seoul National University, Seoul 08826, South Korea
| | - Yan Lee
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea
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24
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The biomechanics of ultra-stretchable nerves. iScience 2022; 25:105295. [DOI: 10.1016/j.isci.2022.105295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/19/2022] [Accepted: 10/03/2022] [Indexed: 11/18/2022] Open
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25
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van Ineveld RL, Collot R, Román MB, Pagliaro A, Bessler N, Ariese HCR, Kleinnijenhuis M, Kool M, Alieva M, Chuva de Sousa Lopes SM, Wehrens EJ, Rios AC. Multispectral confocal 3D imaging of intact healthy and tumor tissue using mLSR-3D. Nat Protoc 2022; 17:3028-3055. [PMID: 36180532 DOI: 10.1038/s41596-022-00739-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 06/16/2022] [Indexed: 11/09/2022]
Abstract
Revealing the 3D composition of intact tissue specimens is essential for understanding cell and organ biology in health and disease. State-of-the-art 3D microscopy techniques aim to capture tissue volumes on an ever-increasing scale, while also retaining sufficient resolution for single-cell analysis. Furthermore, spatial profiling through multi-marker imaging is fast developing, providing more context and better distinction between cell types. Following these lines of technological advance, we here present a protocol based on FUnGI (fructose, urea and glycerol clearing solution for imaging) optical clearing of tissue before multispectral large-scale single-cell resolution 3D (mLSR-3D) imaging, which implements 'on-the-fly' linear unmixing of up to eight fluorophores during a single acquisition. Our protocol removes the need for repetitive illumination, thereby allowing larger volumes to be scanned with better image quality in less time, also reducing photo-bleaching and file size. To aid in the design of multiplex antibody panels, we provide a fast and manageable intensity equalization assay with automated analysis to design a combination of markers with balanced intensities suitable for mLSR-3D. We demonstrate effective mLSR-3D imaging of various tissues, including patient-derived organoids and xenografted tumors, and, furthermore, describe an optimized workflow for mLSR-3D imaging of formalin-fixed paraffin-embedded samples. Finally, we provide essential steps for 3D image data processing, including shading correction that does not require pre-acquired shading references and 3D inhomogeneity correction to correct fluorescence artefacts often afflicting 3D datasets. Together, this provides a one-week protocol for eight-fluorescent-marker 3D visualization and exploration of intact tissue of various origins at single-cell resolution.
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Affiliation(s)
- Ravian L van Ineveld
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Raphaël Collot
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Mario Barrera Román
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Anna Pagliaro
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Nils Bessler
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Hendrikus C R Ariese
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Michiel Kleinnijenhuis
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Marcel Kool
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany.,Division of Pediatric Neurooncology, German Cancer Research Center DKFZ and German Cancer Consortium DKTK, Heidelberg, Germany
| | - Maria Alieva
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | | | - Ellen J Wehrens
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Oncode Institute, Utrecht, the Netherlands
| | - Anne C Rios
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands. .,Oncode Institute, Utrecht, the Netherlands.
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26
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Tsuneoka Y, Atsumi Y, Makanae A, Yashiro M, Funato H. Fluorescence quenching by high-power LEDs for highly sensitive fluorescence in situ hybridization. Front Mol Neurosci 2022; 15:976349. [PMID: 36117911 PMCID: PMC9479452 DOI: 10.3389/fnmol.2022.976349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 08/08/2022] [Indexed: 11/21/2022] Open
Abstract
Recent technical advances have made fluorescent in situ hybridization (ISH) a pivotal method to analyze neural tissue. In a highly sensitive ISH, it is important to reduce tissue autofluorescence. We developed a photobleaching device using a light-emitting diode (LED) illuminator to quench autofluorescence in neural tissue. This device was equipped with 12 high-power LEDs (30 W per single LED) and an evaporative cooling system, and these features achieved highly efficient bleaching of autofluorescence and minimized tissue damage. Even after 60 min of photobleaching with evaporative cooling, the temperature gain of the tissue slide was suppressed almost completely. The autofluorescence of lipofuscin-like granules completely disappeared after 60 min of photobleaching, as did other background autofluorescence observed in the mouse cortex and hippocampus. In combination with the recently developed fluorescent ISH method using the hybridization chain reaction (HCR), high signal/noise ratio imaging was achieved without reduction of ISH sensitivity to visualize rare mRNA at single copy resolution by quenching autofluorescence. Photobleaching by the LED illuminator was also effective in quenching the fluorescent staining of ISH-HCR. We performed multiround ISH by repeating the cycle of HCR staining, confocal imaging, and photobleaching. In addition to the two-round ISH, fluorescent immunohistochemistry or fluorescent Nissl staining was conducted on the same tissue. This LED illuminator provides a quick and simple way to reduce autofluorescence and quench fluorescent dyes for multiround ISH with minimum tissue degradation.
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Affiliation(s)
- Yousuke Tsuneoka
- Department of Anatomy, Faculty of Medicine, Toho University, Tokyo, Japan
- *Correspondence: Yousuke Tsuneoka Hiromasa Funato
| | - Yusuke Atsumi
- Department of Anatomy, Faculty of Medicine, Toho University, Tokyo, Japan
- Center for Research and Product Development, Nepa Gene Co., Ltd., Chiba, Japan
| | - Aki Makanae
- Department of Anatomy, Faculty of Medicine, Toho University, Tokyo, Japan
- Center for Research and Product Development, Nepa Gene Co., Ltd., Chiba, Japan
| | - Mitsuru Yashiro
- Department of Anatomy, Faculty of Medicine, Toho University, Tokyo, Japan
- Center for Research and Product Development, Nepa Gene Co., Ltd., Chiba, Japan
| | - Hiromasa Funato
- Department of Anatomy, Faculty of Medicine, Toho University, Tokyo, Japan
- International Institutes for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Ibaraki, Japan
- *Correspondence: Yousuke Tsuneoka Hiromasa Funato
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27
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Lai HM, Tang Y, Lau ZYH, Campbell RAA, Yau JCN, Chan CCY, Chan DCW, Wong TY, Wong HKT, Yan LYC, Wu WKK, Wong SH, Kwok KW, Wing YK, Lam HHN, Ng HK, Mrsic-Flogel TD, Mok VCT, Chan JYK, Ko H. Antibody stabilization for thermally accelerated deep immunostaining. Nat Methods 2022; 19:1137-1146. [PMID: 36050489 PMCID: PMC9467915 DOI: 10.1038/s41592-022-01569-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 06/27/2022] [Indexed: 01/02/2023]
Abstract
Antibodies have diverse applications due to their high reaction specificities but are sensitive to denaturation when a higher working temperature is required. We have developed a simple, highly scalable and generalizable chemical approach for stabilizing off-the-shelf antibodies against thermal and chemical denaturation. We demonstrate that the stabilized antibodies (termed SPEARs) can withstand up to 4 weeks of continuous heating at 55 °C and harsh denaturants, and apply our method to 33 tested antibodies. SPEARs enable flexible applications of thermocycling and denaturants to dynamically modulate their binding kinetics, reaction equilibrium, macromolecular diffusivity and aggregation propensity. In particular, we show that SPEARs permit the use of a thermally facilitated three-dimensional immunolabeling strategy (termed ThICK staining), achieving whole mouse brain immunolabeling within 72 h, as well as nearly fourfold deeper penetration with threefold less antibodies in human brain tissue. With faster deep-tissue immunolabeling and broad compatibility with tissue processing and clearing methods without the need for any specialized equipment, we anticipate the wide applicability of ThICK staining with SPEARs for deep immunostaining. Thermostable antibodies called SPEARs enable rapid immunostaining with improved tissue penetration.
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Affiliation(s)
- Hei Ming Lai
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong. .,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong. .,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong. .,Margaret K. L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, Hong Kong. .,Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Shatin, Hong Kong.
| | - Yumi Tang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Zachary Y H Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Robert A A Campbell
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK
| | - Juno C N Yau
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Caleb C Y Chan
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Danny C W Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.,Margaret K. L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, Hong Kong.,Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Shatin, Hong Kong.,Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Shatin, Hong Kong.,Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Tin Yan Wong
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - Harriet K T Wong
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Leo Y C Yan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.,Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - William K K Wu
- Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Shatin, Hong Kong.,Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Sunny H Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.,Institute of Digestive Disease, The Chinese University of Hong Kong, Shatin, Hong Kong.,Lee Kong Chian School of Medicine, Nanyang Technological University, Nanyang Avenue, Singapore
| | - Ka-Wai Kwok
- Department of Mechanical Engineering, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Yun-Kwok Wing
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong.,Margaret K. L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, Hong Kong.,Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Henry H N Lam
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - Ho-Keung Ng
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Thomas D Mrsic-Flogel
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK
| | - Vincent C T Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.,Margaret K. L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, Hong Kong.,Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Jason Y K Chan
- Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Ho Ko
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong. .,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong. .,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong. .,Margaret K. L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, Hong Kong. .,Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Shatin, Hong Kong. .,Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Shatin, Hong Kong. .,School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong.
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28
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Mai H, Rong Z, Zhao S, Cai R, Steinke H, Bechmann I, Ertürk A. Scalable tissue labeling and clearing of intact human organs. Nat Protoc 2022; 17:2188-2215. [PMID: 35859136 DOI: 10.1038/s41596-022-00712-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 04/05/2022] [Indexed: 11/09/2022]
Abstract
Advances in tissue labeling and clearing methods include improvement of tissue transparency, better preservation of fluorescence signal, compatibility with immunostaining and large sample volumes. However, as existing methods share the common limitation that they can only be applied to human tissue slices, rendering intact human organs transparent remains a challenge. Here, we describe experimental details of the small-micelle-mediated human organ efficient clearing and labeling (SHANEL) pipeline, which can be applied for cellular mapping of intact human organs. We have successfully cleared multiple human organs, including kidney, pancreas, heart, lung, spleen and brain, as well as hard tissue like skull. We also describe an advanced volumetric imaging system using a commercial light-sheet fluorescence microscope that can accommodate most human organs and a pipeline for whole-organ imaging and visualization. The complete experimental process of labeling and clearing whole human organs takes months and the analysis process takes several weeks, depending on the organ types and sizes.
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Affiliation(s)
- Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany.,Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Munich Medical Research School (MMRS), Ludwig-Maximilians University Munich, Munich, Germany
| | - Zhouyi Rong
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany.,Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Munich Medical Research School (MMRS), Ludwig-Maximilians University Munich, Munich, Germany
| | - Shan Zhao
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany.,Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Munich Medical Research School (MMRS), Ludwig-Maximilians University Munich, Munich, Germany
| | - Ruiyao Cai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany.,Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Hanno Steinke
- Institute of Anatomy, University of Leipzig, Leipzig, Germany
| | - Ingo Bechmann
- Institute of Anatomy, University of Leipzig, Leipzig, Germany
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany. .,Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany. .,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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29
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Wang W, Chan YH, Kwon S, Tandukar J, Gao R. Nanoscale fluorescence imaging of biological ultrastructure via molecular anchoring and physical expansion. NANO CONVERGENCE 2022; 9:30. [PMID: 35810234 PMCID: PMC9271151 DOI: 10.1186/s40580-022-00318-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/26/2022] [Indexed: 05/25/2023]
Abstract
Nanoscale imaging of biological samples can provide rich morphological and mechanistic information about biological functions and dysfunctions at the subcellular and molecular level. Expansion microscopy (ExM) is a recently developed nanoscale fluorescence imaging method that takes advantage of physical enlargement of biological samples. In ExM, preserved cells and tissues are embedded in a swellable hydrogel, to which the molecules and fluorescent tags in the samples are anchored. When the hydrogel swells several-fold, the effective resolution of the sample images can be improved accordingly via physical separation of the retained molecules and fluorescent tags. In this review, we focus on the early conception and development of ExM from a biochemical and materials perspective. We first examine the general workflow as well as the numerous variations of ExM developed to retain and visualize a broad range of biomolecules, such as proteins, nucleic acids, and membranous structures. We then describe a number of inherent challenges facing ExM, including those associated with expansion isotropy and labeling density, as well as the ongoing effort to address these limitations. Finally, we discuss the prospect and possibility of pushing the resolution and accuracy of ExM to the single-molecule scale and beyond.
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Affiliation(s)
- Wei Wang
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, IL, USA
| | - Yat Ho Chan
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, IL, USA
| | - SoYoung Kwon
- Department of Biomedical and Health Information Sciences, College of Applied Health Sciences, University of Illinois Chicago, Chicago, IL, USA
| | - Jamuna Tandukar
- Department of Biological Sciences, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, IL, USA
| | - Ruixuan Gao
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, IL, USA.
- Department of Biological Sciences, College of Liberal Arts and Sciences, University of Illinois Chicago, Chicago, IL, USA.
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30
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3D molecular phenotyping of cleared human brain tissues with light-sheet fluorescence microscopy. Commun Biol 2022; 5:447. [PMID: 35551498 PMCID: PMC9098858 DOI: 10.1038/s42003-022-03390-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 04/21/2022] [Indexed: 12/17/2022] Open
Abstract
The combination of optical tissue transparency with immunofluorescence allows the molecular characterization of biological tissues in 3D. However, adult human organs are particularly challenging to become transparent because of the autofluorescence contributions of aged tissues. To meet this challenge, we optimized SHORT (SWITCH-H2O2-antigen Retrieval-TDE), a procedure based on standard histological treatments in combination with a refined clearing procedure to clear and label portions of the human brain. 3D histological characterization with multiple molecules is performed on cleared samples with a combination of multi-colors and multi-rounds labeling. By performing fast 3D imaging of the samples with a custom-made inverted light-sheet fluorescence microscope (LSFM), we reveal fine details of intact human brain slabs at subcellular resolution. Overall, we proposed a scalable and versatile technology that in combination with LSFM allows mapping the cellular and molecular architecture of the human brain, paving the way to reconstruct the entire organ.
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31
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Ineveld RL, 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] [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 Ineveld
- Princess Máxima Center for Pediatric Oncology Utrecht The Netherlands
- Oncode Institute Utrecht The Netherlands
| | - Esmée J Vliet
- Princess Máxima Center for Pediatric Oncology Utrecht The Netherlands
- Oncode Institute Utrecht The Netherlands
| | - Ellen J Wehrens
- Princess Máxima Center for Pediatric Oncology Utrecht The Netherlands
- Oncode Institute Utrecht The Netherlands
| | - Maria Alieva
- Princess Máxima Center for Pediatric Oncology Utrecht The Netherlands
- Oncode Institute Utrecht The Netherlands
| | - Anne C Rios
- Princess Máxima Center for Pediatric Oncology Utrecht The Netherlands
- Oncode Institute Utrecht The Netherlands
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32
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Lee MY, Mao C, Glaser AK, Woodworth MA, Halpern AR, Ali A, Liu JTC, Vaughan JC. Fluorescent labeling of abundant reactive entities (FLARE) for cleared-tissue and super-resolution microscopy. Nat Protoc 2022; 17:819-846. [PMID: 35110740 DOI: 10.1038/s41596-021-00667-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 09/21/2021] [Indexed: 11/08/2022]
Abstract
Fluorescence microscopy is a vital tool in biomedical research but faces considerable challenges in achieving uniform or bright labeling. For instance, fluorescent proteins are limited to model organisms, and antibody conjugates can be inconsistent and difficult to use with thick specimens. To partly address these challenges, we developed a labeling protocol that can rapidly visualize many well-contrasted key features and landmarks on biological specimens in both thin and thick tissues or cultured cells. This approach uses established reactive fluorophores to label a variety of biological specimens for cleared-tissue microscopy or expansion super-resolution microscopy and is termed FLARE (fluorescent labeling of abundant reactive entities). These fluorophores target chemical groups and reveal their distribution on the specimens; amine-reactive fluorophores such as hydroxysuccinimidyl esters target accessible amines on proteins, while hydrazide fluorophores target oxidized carbohydrates. The resulting stains provide signals analogous to traditional general histology stains such as H&E or periodic acid-Schiff but use fluorescent probes that are compatible with volumetric imaging. In general, the stains for FLARE are performed in the order of carbohydrates, amine and DNA, and the incubation time for the stains varies from 1 h to 1 d depending on the combination of stains and the type and thickness of the biological specimens. FLARE is powerful, robust and easy to implement in laboratories that already routinely do fluorescence microscopy.
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Affiliation(s)
- Min Yen Lee
- Department of Chemistry, University of Washington, Seattle, WA, USA
| | - Chenyi Mao
- Department of Chemistry, University of Washington, Seattle, WA, USA
| | - Adam K Glaser
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | | | - Aaron R Halpern
- Department of Chemistry, University of Washington, Seattle, WA, USA
| | - Adilijiang Ali
- Department of Chemistry, University of Washington, Seattle, WA, USA
| | - Jonathan T C Liu
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Joshua C Vaughan
- Department of Chemistry, University of Washington, Seattle, WA, USA.
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA.
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33
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Guo J, Amini S, Lei Q, Ping Y, Agola JO, Wang L, Zhou L, Cao J, Franco S, Noureddine A, Miserez A, Zhu W, Brinker CJ. Robust and Long-Term Cellular Protein and Enzymatic Activity Preservation in Biomineralized Mammalian Cells. ACS NANO 2022; 16:2164-2175. [PMID: 35143166 DOI: 10.1021/acsnano.1c08103] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Preservation of evolved biological structure and function in robust engineering materials is of interest for storage of biological samples before diagnosis and development of vaccines, sensors, and enzymatic reactors and has the potential to avoid cryopreservation and its associated cold-chain issues. Here, we demonstrate that "freezing cells in amorphous silica" is a powerful technique for long-term preservation of whole mammalian cell proteomic structure and function at room temperature. Biomimetic silicification employs the crowded protein microenvironment of mammalian cells as a catalytic framework to proximally transform monomeric silicic acid into silicates forming a nanoscopic silica shell over all biomolecular interfaces. Silicification followed by dehydration preserves and passivates proteomic information within a nanoscale thin silica coating that exhibits size selective permeability (<3.6 nm), preventing protein leaching and protease degradation of cellular contents, while providing access of small molecular constituents for cellular enzymatic reaction. Exposure of dehydrated silicified cells to mild etchant or prolonged hydrolysis removes the silica, completely rerevealing biomolecular components and restoring their accessibility and functionality.
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Affiliation(s)
- Jimin Guo
- Center for Micro-Engineered Materials and the Department of Chemical and Biological Engineering, The University of New Mexico, Albuquerque, New Mexico 87131, United States
- Department of Internal Medicine, Molecular Medicine, The University of New Mexico, Albuquerque, New Mexico 87131, United States
| | - Shahrouz Amini
- Center for Biomimetic Sensor Science, School of Materials Science and Engineering, Nanyang Technological University (NTU), 50 Nanyang Drive, Singapore, 637553, Singapore
- Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany
| | - Qi Lei
- MOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, People's Republic of China
| | - Yuan Ping
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, People's Republic of China
| | - Jacob Ongudi Agola
- Center for Micro-Engineered Materials and the Department of Chemical and Biological Engineering, The University of New Mexico, Albuquerque, New Mexico 87131, United States
| | - Lu Wang
- Department of Biochemistry and Molecular Biology, The University of New Mexico, Albuquerque, New Mexico 87131, United States
| | - Liang Zhou
- MOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, People's Republic of China
| | - Jiangfan Cao
- MOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, People's Republic of China
| | - Stefan Franco
- Department of Internal Medicine, Molecular Medicine, The University of New Mexico, Albuquerque, New Mexico 87131, United States
| | - Achraf Noureddine
- Center for Micro-Engineered Materials and the Department of Chemical and Biological Engineering, The University of New Mexico, Albuquerque, New Mexico 87131, United States
| | - Ali Miserez
- Center for Biomimetic Sensor Science, School of Materials Science and Engineering, Nanyang Technological University (NTU), 50 Nanyang Drive, Singapore, 637553, Singapore
| | - Wei Zhu
- MOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, People's Republic of China
| | - C Jeffrey Brinker
- Center for Micro-Engineered Materials and the Department of Chemical and Biological Engineering, The University of New Mexico, Albuquerque, New Mexico 87131, United States
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34
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Richardson DS, Guan W, Matsumoto K, Pan C, Chung K, Ertürk A, Ueda HR, Lichtman JW. TISSUE CLEARING. NATURE REVIEWS. METHODS PRIMERS 2022; 1. [PMID: 35128463 DOI: 10.1038/s43586-021-00080-9] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Tissue clearing of gross anatomical samples was first described over a century ago and has only recently found widespread use in the field of microscopy. This renaissance has been driven by the application of modern knowledge of optical physics and chemical engineering to the development of robust and reproducible clearing techniques, the arrival of new microscopes that can image large samples at cellular resolution and computing infrastructure able to store and analyze large data volumes. Many biological relationships between structure and function require investigation in three dimensions and tissue clearing therefore has the potential to enable broad discoveries in the biological sciences. Unfortunately, the current literature is complex and could confuse researchers looking to begin a clearing project. The goal of this Primer is to outline a modular approach to tissue clearing that allows a novice researcher to develop a customized clearing pipeline tailored to their tissue of interest. Further, the Primer outlines the required imaging and computational infrastructure needed to perform tissue clearing at scale, gives an overview of current applications, discusses limitations and provides an outlook on future advances in the field.
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Affiliation(s)
- Douglas S Richardson
- Harvard Center for Biological Imaging, Harvard University, Cambridge, MA, USA.,Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Webster Guan
- Department of Chemical Engineering, MIT, Cambridge, MA, USA
| | - Katsuhiko Matsumoto
- Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan
| | - Chenchen Pan
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilians University of Munich, Munich, Germany.,Graduate School of Systemic Neurosciences (GSN), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Kwanghun Chung
- Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Picower Institute for Learning and Memory, MIT, Cambridge, MA, USA.,Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.,Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA.,Broad Institute of Harvard University and MIT, Cambridge, MA, USA.,Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea.,Nano Biomedical Engineering (Nano BME) Graduate Program, Yonsei-IBS Institute, Yonsei University, Seoul, Republic of Korea
| | - Ali Ertürk
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilians University of Munich, Munich, Germany.,Graduate School of Systemic Neurosciences (GSN), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - 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, Osaka, Japan
| | - Jeff W Lichtman
- Harvard Center for Biological Imaging, Harvard University, Cambridge, MA, USA.,Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.,Center for Brain Science, Harvard University, Cambridge, MA, USA
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35
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Park J, Khan S, Yun DH, Ku T, Villa KL, Lee JE, Zhang Q, Park J, Feng G, Nedivi E, Chung K. Epitope-preserving magnified analysis of proteome (eMAP). SCIENCE ADVANCES 2021; 7:eabf6589. [PMID: 34767453 PMCID: PMC8589305 DOI: 10.1126/sciadv.abf6589] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 09/24/2021] [Indexed: 05/28/2023]
Abstract
Synthetic tissue-hydrogel methods have enabled superresolution investigation of biological systems using diffraction-limited microscopy. However, chemical modification by fixatives can cause loss of antigenicity, limiting molecular interrogation of the tissue gel. Here, we present epitope-preserving magnified analysis of proteome (eMAP) that uses purely physical tissue-gel hybridization to minimize the loss of antigenicity while allowing permanent anchoring of biomolecules. We achieved success rates of 96% and 94% with synaptic antibodies for mouse and marmoset brains, respectively. Maximal preservation of antigenicity allows imaging of nanoscopic architectures in 1000-fold expanded tissues without additional signal amplification. eMAP-processed tissue gel can endure repeated staining and destaining without epitope loss or structural damage, enabling highly multiplexed proteomic analysis. We demonstrated the utility of eMAP as a nanoscopic proteomic interrogation tool by investigating molecular heterogeneity in inhibitory synapses in the mouse brain neocortex and characterizing the spatial distributions of synaptic proteins within synapses in mouse and marmoset brains.
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Affiliation(s)
- Joha Park
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
| | - Sarim Khan
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Department of Chemical Engineering, Indian Institute of Technology (IIT), Roorkee, Uttarakhand 247667, India
| | - Dae Hee Yun
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Taeyun Ku
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
| | - Katherine L. Villa
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Jiachen E. Lee
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Qiangge Zhang
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA
- Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
| | - Juhyuk Park
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
- Department of Chemical Engineering, MIT, Cambridge, MA 02142, USA
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
| | - Guoping Feng
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA
- Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
| | - Elly Nedivi
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | - Kwanghun Chung
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, USA
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
- Department of Chemical Engineering, MIT, Cambridge, MA 02142, USA
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul 03722, Republic of Korea
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36
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Scardigli M, Pesce L, Brady N, Mazzamuto G, Gavryusev V, Silvestri L, Hof PR, Destrieux C, Costantini I, Pavone FS. Comparison of Different Tissue Clearing Methods for Three-Dimensional Reconstruction of Human Brain Cellular Anatomy Using Advanced Imaging Techniques. Front Neuroanat 2021; 15:752234. [PMID: 34867215 PMCID: PMC8632656 DOI: 10.3389/fnana.2021.752234] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 10/13/2021] [Indexed: 01/29/2023] Open
Abstract
The combination of tissue clearing techniques with advanced optical microscopy facilitates the achievement of three-dimensional (3D) reconstruction of macroscopic specimens at high resolution. Whole mouse organs or even bodies have been analyzed, while the reconstruction of the human nervous system remains a challenge. Although several tissue protocols have been proposed, the high autofluorescence and variable post-mortem conditions of human specimens negatively affect the quality of the images in terms of achievable transparency and staining contrast. Moreover, homogeneous staining of high-density epitopes, such as neuronal nuclear antigen (NeuN), creates an additional challenge. Here, we evaluated different tissue transformation approaches to find the best solution to uniformly clear and label all neurons in the human cerebral cortex using anti-NeuN antibodies in combination with confocal and light-sheet fluorescence microscopy (LSFM). Finally, we performed mesoscopic high-resolution 3D reconstruction of the successfully clarified and stained samples with LSFM.
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Affiliation(s)
- Marina Scardigli
- European Laboratory for Non-linear Spectroscopy, University of Florence, Florence, Italy
- Department of Physics and Astronomy, University of Florence, Florence, Italy
| | - Luca Pesce
- European Laboratory for Non-linear Spectroscopy, University of Florence, Florence, Italy
- Department of Physics and Astronomy, University of Florence, Florence, Italy
| | - Niamh Brady
- European Laboratory for Non-linear Spectroscopy, University of Florence, Florence, Italy
| | - Giacomo Mazzamuto
- European Laboratory for Non-linear Spectroscopy, University of Florence, Florence, Italy
- National Institute of Optics, National Research Council, Rome, Italy
| | - Vladislav Gavryusev
- European Laboratory for Non-linear Spectroscopy, University of Florence, Florence, Italy
- Department of Physics and Astronomy, University of Florence, Florence, Italy
| | - Ludovico Silvestri
- European Laboratory for Non-linear Spectroscopy, University of Florence, Florence, Italy
- Department of Physics and Astronomy, University of Florence, Florence, Italy
- National Institute of Optics, National Research Council, Rome, Italy
| | - Patrick R. Hof
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Irene Costantini
- European Laboratory for Non-linear Spectroscopy, University of Florence, Florence, Italy
- National Institute of Optics, National Research Council, Rome, Italy
- Department of Biology, University of Florence, Florence, Italy
| | - Francesco S. Pavone
- European Laboratory for Non-linear Spectroscopy, University of Florence, Florence, Italy
- Department of Physics and Astronomy, University of Florence, Florence, Italy
- National Institute of Optics, National Research Council, Rome, Italy
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37
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Sun Q, Tiziana P, Khan AUM, Heuveline V, Gretz N. A simple optical tissue clearing pipeline for 3D vasculature imaging of the mediastinal organs in mice. Int J Exp Pathol 2021; 102:218-227. [PMID: 34613652 DOI: 10.1111/iep.12399] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 03/23/2021] [Accepted: 04/06/2021] [Indexed: 12/23/2022] Open
Abstract
Optical tissue clearing (OTC) methods render tissue transparent by matching the refractive index within a sample to enable three-dimensional (3D) imaging with advanced microscopes. The application of OTC method in mediastinal organs in mice remains poorly understand. Our aim was to establish a simple protocol pipeline for 3D imaging of the mediastinal organs in mice. Trachea, oesophagus, thymus and heart were harvested from mice after retrograde perfusion via the abdominal aorta. We combined and optimized antibody labelling of thick tissue samples, OTC with cheap and non-toxic solvent ethyl cinnamate (ECi), and light-sheet fluorescence microscopy (LSFM) or laser confocal fluorescence microscopy (LCFM) to visualize the vasculature of those tissues. A high degree of optical transparency of trachea, oesophagus, thymus and heart was achieved after ECi-based OTC. With anti-CD31 antibody immunofluorescence labelling before ECi-based OTC, the vasculature of these tissues with their natural morphology, location and organizational network was imaged using LSFM or LCFM. This simple protocol pipeline provides an easy-to-setup and comprehensive way to study the vasculature of mediastinal organs in 3D without any special equipment. We anticipate that it will facilitate diverse applications in biomedical research of thoracic diseases and even other organs.
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Affiliation(s)
- Quanchao Sun
- Department of Thoracic Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.,Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.,Institute for Medical Technology, University of Heidelberg and University of Applied Sciences, Mannheim, Germany
| | - Picascia Tiziana
- Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.,Institute for Medical Technology, University of Heidelberg and University of Applied Sciences, Mannheim, Germany
| | - Arif Ul Maula Khan
- Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.,Institute for Medical Technology, University of Heidelberg and University of Applied Sciences, Mannheim, Germany
| | - Vincent Heuveline
- Director of the Computing Centre, Heidelberg University, Heidelberg, Germany
| | - Norbert Gretz
- Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.,Institute for Medical Technology, University of Heidelberg and University of Applied Sciences, Mannheim, Germany
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Schwarz MK, Kubitscheck U. Expansion light sheet fluorescence microscopy of extended biological samples: Applications and perspectives. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2021; 168:33-36. [PMID: 34626664 DOI: 10.1016/j.pbiomolbio.2021.09.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 08/25/2021] [Accepted: 09/30/2021] [Indexed: 10/20/2022]
Affiliation(s)
- Martin K Schwarz
- Institute Experimental Epileptology and Cognition Research (EECR), University of Bonn Medical School, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
| | - Ulrich Kubitscheck
- Institute of Physical and Theoretical Chemistry, University of Bonn, Wegelerstr. 12, 53115, Bonn, Germany
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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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40
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Basic principles of hydrogel-based tissue transformation technologies and their applications. Cell 2021; 184:4115-4136. [PMID: 34358468 DOI: 10.1016/j.cell.2021.07.009] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 06/06/2021] [Accepted: 07/06/2021] [Indexed: 12/28/2022]
Abstract
Emerging tissue transformation technologies provide an unprecedented opportunity to investigate system-level molecular and anatomical features in situ. Hydrogel-based methods engineer physicochemical tissue properties to render intact organs optically transparent and size and shape adjustable while preserving biomolecules at their physiological locations. When combined with advanced molecular tools, labeling, and imaging techniques, tissue transformation enables three-dimensional (3D) mapping of molecules, cells, and their interrelationships at increasing speeds and resolutions. In this review, we discuss the basic engineering principles of tissue transformation and labeling techniques as well as their broad applications, current challenges, and future potential.
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41
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Costantini I, Mazzamuto G, Roffilli M, Laurino A, Maria Castelli F, Neri M, Lughi G, Simonetto A, Lazzeri E, Pesce L, Destrieux C, Silvestri L, Conti V, Guerrini R, Saverio Pavone F. Large-scale, cell-resolution volumetric mapping allows layer-specific investigation of human brain cytoarchitecture. BIOMEDICAL OPTICS EXPRESS 2021; 12:3684-3699. [PMID: 34221688 PMCID: PMC8221968 DOI: 10.1364/boe.415555] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 03/23/2021] [Accepted: 03/30/2021] [Indexed: 06/01/2023]
Abstract
Although neuronal density analysis on human brain slices is available from stereological studies, data on the spatial distribution of neurons in 3D are still missing. Since the neuronal organization is very inhomogeneous in the cerebral cortex, it is critical to map all neurons in a given volume rather than relying on sparse sampling methods. To achieve this goal, we implement a new tissue transformation protocol to clear and label human brain tissues and we exploit the high-resolution optical sectioning of two-photon fluorescence microscopy to perform 3D mesoscopic reconstruction. We perform neuronal mapping of 100mm3 human brain samples and evaluate the volume and density distribution of neurons from various areas of the cortex originating from different subjects (young, adult, and elderly, both healthy and pathological). The quantitative evaluation of the density in combination with the mean volume of the thousands of neurons identified within the specimens, allow us to determine the layer-specific organization of the cerebral architecture.
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Affiliation(s)
- Irene Costantini
- European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Sesto Fiorentino, Italy
- Department of Biology, University of Florence, Italy
- National Institute of Optics (INO), National Research Council (CNR), Sesto Fiorentino, Italy
- These authors contributed equally to this work
| | - Giacomo Mazzamuto
- European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Sesto Fiorentino, Italy
- National Institute of Optics (INO), National Research Council (CNR), Sesto Fiorentino, Italy
- These authors contributed equally to this work
| | | | - Annunziatina Laurino
- European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Sesto Fiorentino, Italy
- Present address: Department of Neurofarba, Section of Pharmacology and Toxicology, University of Florence, Italy
| | - Filippo Maria Castelli
- European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Sesto Fiorentino, Italy
- Department of Physics, University of Florence, Italy
| | | | | | | | - Erica Lazzeri
- European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Sesto Fiorentino, Italy
| | - Luca Pesce
- European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Sesto Fiorentino, Italy
- Department of Physics, University of Florence, Italy
| | | | - Ludovico Silvestri
- European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Sesto Fiorentino, Italy
- National Institute of Optics (INO), National Research Council (CNR), Sesto Fiorentino, Italy
- Department of Physics, University of Florence, Italy
| | - Valerio Conti
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, A. Meyer Children’s Hospital, University of Florence, Florence, Italy
| | - Renzo Guerrini
- Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, A. Meyer Children’s Hospital, University of Florence, Florence, Italy
| | - Francesco Saverio Pavone
- European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Sesto Fiorentino, Italy
- National Institute of Optics (INO), National Research Council (CNR), Sesto Fiorentino, Italy
- Department of Physics, University of Florence, Italy
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42
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Abstract
PURPOSE OF REVIEW There have been tremendous advances in the tools available for surveying blood vessels within whole organs and tissues. Here, we summarize some of the recent developments in methods for immunolabeling and imaging whole organs and provide a protocol optimized for the heart. RECENT FINDINGS Multiple protocols have been established for chemically clearing large organs and variations are compatible with cell type-specific labeling. Heart tissue can be successfully cleared to reveal the three-dimensional structure of the entire coronary vasculature in neonatal and adult mice. Obtaining vascular reconstructions requires exceptionally large imaging files and new computational methods to process the data for accurate vascular quantifications. This is a continually advancing field that has revolutionized our ability to acquire data on larger samples as a faster rate. SUMMARY Historically, cardiovascular research has relied heavily on histological analyses that use tissue sections, which usually sample cellular phenotypes in small regions and lack information on whole tissue-level organization. This approach can be modified to survey whole organs but image acquisition and analysis time can become unreasonable. In recent years, whole-organ immunolabeling and clearing methods have emerged as a workable solution, and new microscopy modalities, such as light-sheet microscopy, significantly improve image acquisition times. These innovations make studying the vasculature in the context of the whole organ widely available and promise to reveal fascinating new cellular behaviors in adult tissues and during repair.
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Affiliation(s)
| | - Kristy Red-Horse
- Department of Biology, Stanford University, Stanford, CA, 94305
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
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43
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Abstract
Advanced optical methods combined with various probes pave the way toward molecular imaging within living cells. However, major challenges are associated with the need to enhance the imaging resolution even further to the subcellular level for the imaging of larger tissues, as well as for in vivo studies. High scattering and absorption of opaque tissues limit the penetration of light into deep tissues and thus the optical imaging depth. Tissue optical clearing technique provides an innovative way to perform deep-tissue imaging. Recently, various optical clearing methods have been developed, which provide tissue clearing based on similar physical principles via different chemical approaches. Here, we introduce the mechanisms of the current clearing methods from fundamental physical and chemical perspectives, including the main physical principle, refractive index matching via various chemical approaches, such as dissociation of collagen, delipidation, decalcification, dehydration, and hyperhydration, to reduce scattering, as well as decolorization to reduce absorption.
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Affiliation(s)
- Tingting Yu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Jingtan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Dongyu Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
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44
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Walsh C, Tafforeau P, Wagner WL, Jafree DJ, Bellier A, Werlein C, Kühnel MP, Boller E, Walker-Samuel S, Robertus JL, Long DA, Jacob J, Marussi S, Brown E, Holroyd N, Jonigk DD, Ackermann M, Lee PD. Multiscale three-dimensional imaging of intact human organs down to the cellular scale using hierarchical phase-contrast tomography. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.02.03.429481. [PMID: 33564772 PMCID: PMC7872374 DOI: 10.1101/2021.02.03.429481] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Human organs are complex, three-dimensional and multiscale systems. Spatially mapping the human body down through its hierarchy, from entire organs to their individual functional units and specialised cells, is a major obstacle to fully understanding health and disease. To meet this challenge, we developed hierarchical phase-contrast tomography (HiP-CT), an X-ray phase propagation technique utilising the European Synchrotron Radiation Facility's Extremely Brilliant Source: the world's first high-energy 4 th generation X-ray source. HiP-CT enabled three-dimensional and non-destructive imaging at near-micron resolution in soft tissues at one hundred thousand times the voxel size whilst maintaining the organ's structure. We applied HiP-CT to image five intact human parenchymal organs: brain, lung, heart, kidney and spleen. These were hierarchically assessed with HiP-CT, providing a structural overview of the whole organ alongside detail of the organ's individual functional units and cells. The potential applications of HiP-CT were demonstrated through quantification and morphometry of glomeruli in an intact human kidney, and identification of regional changes to the architecture of the air-tissue interface and alveolar morphology in the lung of a deceased COVID-19 patient. Overall, we show that HiP-CT is a powerful tool which can provide a comprehensive picture of structural information for whole intact human organs, encompassing precise details on functional units and their constituent cells to better understand human health and disease.
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Affiliation(s)
- C Walsh
- Centre for Advanced Biomedical Imaging, University College London, U.K
| | - P Tafforeau
- European Synchrotron Radiation Facility, Grenoble, France
| | - Willi L Wagner
- Dept of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany Translational Lung Research Centre Heidelberg (TLRC), German Lung Research Centre (DZL), Heidelberg, Germany
| | - D J Jafree
- Developmental Biology and Cancer Programme, Great Ormond Street Institute of Child Health, University College London, UK
- UCL MB/PhD Programme, Faculty of Medical Sciences, University College London, UK
| | - A Bellier
- French Alps Laboratory of Anatomy (LADAF), Grenoble Alpes University, Grenoble, France
| | - C Werlein
- Institute of Pathology, Hannover Medical School, Hannover, Germany (Carl-Neuberg-Straße 1, 30625 Hannover)
| | - M P Kühnel
- Institute of Pathology, Hannover Medical School, Hannover, Germany (Carl-Neuberg-Straße 1, 30625 Hannover)
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH)
| | - E Boller
- European Synchrotron Radiation Facility, Grenoble, France
| | - S Walker-Samuel
- Centre for Advanced Biomedical Imaging, University College London, U.K
| | - J L Robertus
- Department of Histopathology, Royal Brompton and Harefield NHS Foundation Trust, London, UK
- National Heart & Lung Institute, Imperial College London, London, UK
| | - D A Long
- Developmental Biology and Cancer Programme, Great Ormond Street Institute of Child Health, University College London, UK
| | - J Jacob
- Centre for Medical Image Computing, University College London, London, UK
- Department of Radiology, University College London Hospitals NHS Foundation Trust, London, UK
| | - S Marussi
- Department of Mechanical Engineering University College London, U.K
| | - E Brown
- Centre for Advanced Biomedical Imaging, University College London, U.K
| | - N Holroyd
- Centre for Advanced Biomedical Imaging, University College London, U.K
| | - D D Jonigk
- Institute of Pathology, Hannover Medical School, Hannover, Germany (Carl-Neuberg-Straße 1, 30625 Hannover)
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH)
| | - M Ackermann
- Institute of Functional and Clinical Anatomy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz
| | - P D Lee
- Department of Mechanical Engineering University College London, U.K
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45
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Zhao J, Lai HM, Qi Y, He D, Sun H. Current Status of Tissue Clearing and the Path Forward in Neuroscience. ACS Chem Neurosci 2021; 12:5-29. [PMID: 33326739 DOI: 10.1021/acschemneuro.0c00563] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Due to the complexity and limited availability of human brain tissues, for decades, pathologists have sought to maximize information gained from individual samples, based on which (patho)physiological processes could be inferred. Recently, new understandings of chemical and physical properties of biological tissues and multiple chemical profiling have given rise to the development of scalable tissue clearing methods allowing superior optical clearing of across-the-scale samples. In the past decade, tissue clearing techniques, molecular labeling methods, advanced laser scanning microscopes, and data visualization and analysis have become commonplace. Combined, they have made 3D visualization of brain tissues with unprecedented resolution and depth widely accessible. To facilitate further advancements and applications, here we provide a critical appraisal of these techniques. We propose a classification system of current tissue clearing and expansion methods that allows users to judge the applicability of individual ones to their questions, followed by a review of the current progress in molecular labeling, optical imaging, and data processing to demonstrate the whole 3D imaging pipeline based on tissue clearing and downstream techniques for visualizing the brain. We also raise the path forward of tissue-clearing-based imaging technology, that is, integrating with state-of-the-art techniques, such as multiplexing protein imaging, in situ signal amplification, RNA detection and sequencing, super-resolution imaging techniques, multiomics studies, and deep learning, for drawing the complete atlas of the human brain and building a 3D pathology platform for central nervous system disorders.
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Affiliation(s)
- Jiajia Zhao
- Department of Neurosurgery, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China
- The Second Clinical Medical College, Southern Medical University, Guangzhou 510515, China
| | - Hei Ming Lai
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China
| | - Yuwei Qi
- Department of Neurosurgery, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China
- The Second Clinical Medical College, Southern Medical University, Guangzhou 510515, China
| | - Dian He
- Department of Neurosurgery, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China
- The Second Clinical Medical College, Southern Medical University, Guangzhou 510515, China
| | - Haitao Sun
- Department of Neurosurgery, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China
- The Second Clinical Medical College, Southern Medical University, Guangzhou 510515, China
- Microbiome Medicine Center, Department of Laboratory Medicine, Clinical Biobank Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
- Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Southern Medical University, Guangzhou 510515, China
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46
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Sun Q, Picascia T, Khan AUM, Brenna C, Heuveline V, Schmaus A, Sleeman JP, Gretz N. Application of ethyl cinnamate based optical tissue clearing and expansion microscopy combined with retrograde perfusion for 3D lung imaging. Exp Lung Res 2020; 46:393-408. [PMID: 33043719 DOI: 10.1080/01902148.2020.1829183] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PURPOSE 3 D imaging of the lung is not a trivial undertaking as during preparation the lung may collapse. Also serial sections and scans followed by 3 D reconstruction may lead to artifacts. The present study aims to figure out the best way to perform 3 D imaging in lung research. MATERIALS AND METHODS We applied an optical tissue clearing (OTC) method, which uses ethyl cinnamate (ECi) as a fast, nontoxic and cheap clearing solvent, for 3 D imaging of retrograde perfused lungs by laser confocal fluorescence microscopy and light sheet fluorescence microscopy. We also introduced expansion microscopy (ExM), a cutting-edge technique, in 3 D imaging of lungs. We examined and compared the usefulness of these techniques for 3 D lung imaging. The ExM protocol was further extended to paraffin-embedded lung metastases blocks. RESULTS The MHI148-PEI labeled lung vasculature was visualized by retrograde perfusion combined with trachea ligation and ECi based OTC. As compared with trans-cardiac perfusion, the retrograde perfusion results in a better maintenance of lung morphology. 3 D structure of alveoli, vascular branches and cilia in lung were revealed by immunofluorescence staining after ExM. 3 D distribution of microvasculature and neutrophil cells in 10 years old paraffin-embedded lung metastases were analyzed by ExM. CONCLUSIONS The retrograde perfusion combined with trachea ligation technique could be applied in the lung research in mice. 3 D structure of lung vasculature can be visualized by MHI148-PEI perfusion and ECi based OTC in an efficient way. ExM and immunofluorescence staining protocol is highly recommended to perform 3 D imaging of fresh fixed lung as well as paraffin-embedded lung blocks.
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Affiliation(s)
- Quanchao Sun
- Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.,Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Institute for Medical Technology, University of Heidelberg, and University of Applied Sciences, Mannheim, Germany
| | - Tiziana Picascia
- Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.,Institute for Medical Technology, University of Heidelberg, and University of Applied Sciences, Mannheim, Germany
| | - Arif Ul Maula Khan
- Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.,Institute for Medical Technology, University of Heidelberg, and University of Applied Sciences, Mannheim, Germany
| | - Cinzia Brenna
- Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.,Institute for Medical Technology, University of Heidelberg, and University of Applied Sciences, Mannheim, Germany
| | - Vincent Heuveline
- Director of the Computing Centre, Heidelberg University, Heidelberg, Germany
| | - Anja Schmaus
- European Center for Angioscience (ECAS), Medical Faculty Mannheim, University of Heidelberg, CBTM, Mannheim, Germany.,Institute of Biological and Chemical Systems-Biological Information Processing (IBCS-BIP), Karlsruhe Institute for Technology (KIT), Karlsruhe, Germany
| | - Jonathan P Sleeman
- European Center for Angioscience (ECAS), Medical Faculty Mannheim, University of Heidelberg, CBTM, Mannheim, Germany.,Institute of Biological and Chemical Systems-Biological Information Processing (IBCS-BIP), Karlsruhe Institute for Technology (KIT), Karlsruhe, Germany
| | - Norbert Gretz
- Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.,Institute for Medical Technology, University of Heidelberg, and University of Applied Sciences, Mannheim, Germany
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