1
|
Novel fluorescent staining protocol for thick sections of human osteochondral tissues to facilitate correlation with MRI and CT. Skeletal Radiol 2021; 50:2281-2288. [PMID: 33638655 PMCID: PMC8390588 DOI: 10.1007/s00256-021-03746-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/19/2021] [Accepted: 02/21/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To describe a novel fluorescent histochemical protocol to visualize osteoclasts, vasculature, and nerves in thick sections of human osteochondral tissues and to demonstrate its feasibility for use in radiologic-pathologic research correlation studies. MATERIALS AND METHODS Consecutive patients scheduled for total knee arthroplasty surgeries underwent pre-operative MRI. CT imaging was performed after tissue collection, and abnormal osteochondral regions were sectioned to 1-2 mm in thickness and decalcified. Fluorescent labeling of osteoclasts was performed by staining for tartrate-resistant alkaline phosphatase activity with a fluorescent substrate. Vascular structure was visualized with fluorescently labeled lectin Ulex europaeus Agglutinin I (UEA-I). Immunostaining was performed for proteins including smooth muscle actin expressed in smooth muscle cells surrounding arterioles and fibrotic myofibroblasts, as well as for neuropeptide Y expressed in sympathetic nerves. Sections were then recut at 5 μm and stained with hematoxylin and eosin (H&E). RESULTS Edema-like and cyst-like regions identified with MRI and CT were easily located in fluorescent images and appeared to have increased osteoclast activity. Fibrotic regions were identified with thickened arterioles and increased myofibroblasts. Sympathetic nerve fibers traveled alongside arborizing blood vessels. Stained sections became transparent in a water-based refractive index-matched medium, permitting deep 3D visualization of the elaborate neurovascular network in bone. Sequential staining procedures were successfully performed with the same sections, demonstrating the potential to compare multiple cellular markers from the same locations. Routine H&E staining could be performed after the fluorescent staining protocol. CONCLUSION We have developed a multimodal framework to facilitate comparisons between histology and clinical MRI and CT.
Collapse
|
2
|
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.
Collapse
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
| |
Collapse
|
3
|
Ueda HR, Dodt HU, Osten P, Economo MN, Chandrashekar J, Keller PJ. Whole-Brain Profiling of Cells and Circuits in Mammals by Tissue Clearing and Light-Sheet Microscopy. Neuron 2020; 106:369-387. [PMID: 32380050 PMCID: PMC7213014 DOI: 10.1016/j.neuron.2020.03.004] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 01/11/2020] [Accepted: 03/04/2020] [Indexed: 01/12/2023]
Abstract
Tissue clearing and light-sheet microscopy have a 100-year-plus history, yet these fields have been combined only recently to facilitate novel experiments and measurements in neuroscience. Since tissue-clearing methods were first combined with modernized light-sheet microscopy a decade ago, the performance of both technologies has rapidly improved, broadening their applications. Here, we review the state of the art of tissue-clearing methods and light-sheet microscopy and discuss applications of these techniques in profiling cells and circuits in mice. We examine outstanding challenges and future opportunities for expanding these techniques to achieve brain-wide profiling of cells and circuits in primates and humans. Such integration will help provide a systems-level understanding of the physiology and pathology of our central nervous system.
Collapse
Affiliation(s)
- Hiroki R Ueda
- Department of Systems Pharmacology, The University of Tokyo, Tokyo 113-0033, Japan; Laboratory for Synthetic Biology, RIKEN BDR, Suita, Osaka 565-0871, Japan.
| | - Hans-Ulrich Dodt
- Department of Bioelectronics, FKE, Vienna University of Technology-TU Wien, Vienna, Austria; Section of Bioelectronics, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Pavel Osten
- Cold Spring Harbor Laboratories, Cold Spring Harbor, NY 11724, USA
| | - Michael N Economo
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | | | - Philipp J Keller
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| |
Collapse
|
4
|
Ueda HR, Ertürk A, Chung K, Gradinaru V, Chédotal A, Tomancak P, Keller PJ. Tissue clearing and its applications in neuroscience. Nat Rev Neurosci 2020; 21:61-79. [PMID: 31896771 PMCID: PMC8121164 DOI: 10.1038/s41583-019-0250-1] [Citation(s) in RCA: 292] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/18/2019] [Indexed: 02/06/2023]
Abstract
State-of-the-art tissue-clearing methods provide subcellular-level optical access to intact tissues from individual organs and even to some entire mammals. When combined with light-sheet microscopy and automated approaches to image analysis, existing tissue-clearing methods can speed up and may reduce the cost of conventional histology by several orders of magnitude. In addition, tissue-clearing chemistry allows whole-organ antibody labelling, which can be applied even to thick human tissues. By combining the most powerful labelling, clearing, imaging and data-analysis tools, scientists are extracting structural and functional cellular and subcellular information on complex mammalian bodies and large human specimens at an accelerated pace. The rapid generation of terabyte-scale imaging data furthermore creates a high demand for efficient computational approaches that tackle challenges in large-scale data analysis and management. In this Review, we discuss how tissue-clearing methods could provide an unbiased, system-level view of mammalian bodies and human specimens and discuss future opportunities for the use of these methods in human neuroscience.
Collapse
Affiliation(s)
- Hiroki R Ueda
- Department of Systems Pharmacology, University of Tokyo, Tokyo, Japan.
- Laboratory for Synthetic Biology, RIKEN BDR, Suita, Japan.
| | - Ali Ertürk
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilian University of Munich, Munich, Germany
- Institute of Tissue Engineering and Regenerative Medicine, Helmholtz Zentrum München, Neuherberg, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Kwanghun Chung
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Eli & Edythe Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for NanoMedicine, Institute for Basic Science, Seoul, Republic of Korea
- Graduate Program of Nano Biomedical Engineering, Yonsei-IBS Institute, Yonsei University, Seoul, Republic of Korea
| | - Viviana Gradinaru
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Alain Chédotal
- Institut de la Vision, Sorbonne Université, INSERM, CNRS, Paris, France
| | - Pavel Tomancak
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- IT4Innovations, Technical University of Ostrava, Ostrava, Czech Republic
| | - Philipp J Keller
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| |
Collapse
|
5
|
Meier-Hubberten JC, Sanderson MP. Establishment and Analysis of a 3D Co-Culture Spheroid Model of Pancreatic Adenocarcinoma for Application in Drug Discovery. Methods Mol Biol 2019; 1953:163-179. [PMID: 30912022 DOI: 10.1007/978-1-4939-9145-7_11] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The high attrition rate of oncology drug candidates can be in part explained by the disconnect between the standard preclinical models (e.g., 2D culture, xenograft tumors) commonly employed for drug discovery and the complex multicellular microenvironment of human cancers. As such, significant focus has recently shifted to the establishment of preclinical models that more closely recapitulate human tumors, such as patient-derived xenografts, 3D spheroids, humanized mice, and mixed-culture models. For these models to be suited to drug discovery, they should optimally exhibit reproducibility, high-throughput, and robust and simple assay readouts. In this article, we describe a protocol for the generation of an in vitro 3D co-culture spheroid model that recapitulates the interaction of tumor cells with stromal fibroblasts in pancreatic adenocarcinoma. We additionally describe protocols relevant to the analysis of these spheroids in high-throughput drug discovery campaigns such as the assessment of spheroid proliferation, immunofluorescence and immunohistochemistry staining of spheroids, live-cell and confocal imaging and analysis of cell surface markers.
Collapse
|
6
|
Challis RC, Ravindra Kumar S, Chan KY, Challis C, Beadle K, Jang MJ, Kim HM, Rajendran PS, Tompkins JD, Shivkumar K, Deverman BE, Gradinaru V. Systemic AAV vectors for widespread and targeted gene delivery in rodents. Nat Protoc 2019; 14:379-414. [PMID: 30626963 DOI: 10.1038/s41596-018-0097-3] [Citation(s) in RCA: 191] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
We recently developed adeno-associated virus (AAV) capsids to facilitate efficient and noninvasive gene transfer to the central and peripheral nervous systems. However, a detailed protocol for generating and systemically delivering novel AAV variants was not previously available. In this protocol, we describe how to produce and intravenously administer AAVs to adult mice to specifically label and/or genetically manipulate cells in the nervous system and organs, including the heart. The procedure comprises three separate stages: AAV production, intravenous delivery, and evaluation of transgene expression. The protocol spans 8 d, excluding the time required to assess gene expression, and can be readily adopted by researchers with basic molecular biology, cell culture, and animal work experience. We provide guidelines for experimental design and choice of the capsid, cargo, and viral dose appropriate for the experimental aims. The procedures outlined here are adaptable to diverse biomedical applications, from anatomical and functional mapping to gene expression, silencing, and editing.
Collapse
Affiliation(s)
- Rosemary C Challis
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Sripriya Ravindra Kumar
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Ken Y Chan
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Collin Challis
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Keith Beadle
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Min J Jang
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Hyun Min Kim
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Pradeep S Rajendran
- Cardiac Arrhythmia Center and Neurocardiology Research Center of Excellence, University of California, Los Angeles, Los Angeles, CA, USA
| | - John D Tompkins
- Cardiac Arrhythmia Center and Neurocardiology Research Center of Excellence, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kalyanam Shivkumar
- Cardiac Arrhythmia Center and Neurocardiology Research Center of Excellence, University of California, Los Angeles, Los Angeles, CA, USA
| | - Benjamin E Deverman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Viviana Gradinaru
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
| |
Collapse
|
7
|
Mano T, Albanese A, Dodt HU, Erturk A, Gradinaru V, Treweek JB, Miyawaki A, Chung K, Ueda HR. Whole-Brain Analysis of Cells and Circuits by Tissue Clearing and Light-Sheet Microscopy. J Neurosci 2018; 38:9330-9337. [PMID: 30381424 PMCID: PMC6706004 DOI: 10.1523/jneurosci.1677-18.2018] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 09/27/2018] [Accepted: 09/27/2018] [Indexed: 12/21/2022] Open
Abstract
In this photo essay, we present a sampling of technologies from laboratories at the forefront of whole-brain clearing and imaging for high-resolution analysis of cell populations and neuronal circuits. The data presented here were provided for the eponymous Mini-Symposium presented at the Society for Neuroscience's 2018 annual meeting.
Collapse
Affiliation(s)
- Tomoyuki Mano
- Department of Information Physics and Computing, Graduate School of Information Science and Technology
- International Research Center for Neurointelligence, UTIAS
| | | | - Hans-Ulrich Dodt
- Department of Bioelectronics, Vienna University of Technology, FKE, 1040 Vienna, Austria
- Center for Brain Research, Medical University of Vienna, 1090 Vienna, Austria
| | - Ali Erturk
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilians University of Munich, 80539 Munich, Germany
- Graduate School of Systemic Neurosciences, 80539 Munich, Germany
- Munich Cluster for Systems Neurology, 81377 Munich, Germany
| | - Viviana Gradinaru
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, 91125
| | - Jennifer B Treweek
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, 91125
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089
| | - Atsushi Miyawaki
- Laboratory for Cell Function and Dynamics, Center for Brain Science
- Biotechnological Optics Research Team, Center for Advanced Photonics, RIKEN, Wako-City, 351-0198 Saitama, Japan
| | - Kwanghun Chung
- Institute for Medical Engineering and Science,
- Picower Institute for Learning and Memory
- Department of Chemical Engineering
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139
- Broad Institute of Harvard University and MIT, Cambridge, Massachusetts 02142, and
| | - Hiroki R Ueda
- International Research Center for Neurointelligence, UTIAS,
- Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, 113-0033 Tokyo, Japan
- Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, 565-0871 Suita, Japan
| |
Collapse
|