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Zhu J, Liu X, Liu Z, Deng Y, Xu J, Liu K, Zhang R, Meng X, Fei P, Yu T, Zhu D. SOLID: minimizing tissue distortion for brain-wide profiling of diverse architectures. Nat Commun 2024; 15:8303. [PMID: 39333107 DOI: 10.1038/s41467-024-52560-7] [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: 01/15/2024] [Accepted: 09/12/2024] [Indexed: 09/29/2024] Open
Abstract
Brain-wide profiling of diverse biological components is fundamental for understanding complex brain pathology. Despite the availability in whole-brain imaging, it is still challenging to conduct multiplexed, brain-wide analysis with current tissue clearing techniques. Here, we propose SOLID, a hydrophobic tissue clearing method that can minimize tissue distortion while offering impressive clearing performance. SOLID achieves high-quality imaging of multi-color labeled mouse brain, and the acquired datasets can be effectively registered to the Allen Brain Atlas via commonly-used algorithms. SOLID enables generation of neural and vascular maps within one mouse brain, as well as tracing of specific neural projections labeled with viruses. SOLID also allows cross-channel investigations of β-amyloid plaques and neurovascular lesions in the reconstructed all-in-one panorama, providing quantitative insights into structural interactions at different stages of Alzheimer's disease. Altogether, SOLID provides a robust pipeline for whole-brain mapping, which may widen the utility of tissue clearing techniques in diverse neuroscience research.
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Affiliation(s)
- 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, Hubei, 430074, 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, Hubei, 430074, China
| | - Zhang 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, Hubei, 430074, China
| | - 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, Hubei, 430074, China
| | - Jianyi Xu
- 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, Hubei, 430074, China
| | - Kunxing 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, Hubei, 430074, China
| | - Ruiying Zhang
- 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, Hubei, 430074, China
| | - Xizhi Meng
- 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, Hubei, 430074, China
| | - Peng Fei
- School of Optical Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, 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, Hubei, 430074, 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, Hubei, 430074, China.
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2
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Meo DD, Sorelli M, Ramazzotti J, Cheli F, Bradley S, Perego L, Lorenzon B, Mazzamuto G, Emmi A, Porzionato A, Caro RD, Garbelli R, Biancheri D, Pelorosso C, Conti V, Guerrini R, Pavone FS, Costantini I. Quantitative cytoarchitectural phenotyping of deparaffinized human brain tissues. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.10.612232. [PMID: 39314456 PMCID: PMC11419081 DOI: 10.1101/2024.09.10.612232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
Advanced 3D imaging techniques and image segmentation and classification methods can profoundly transform biomedical research by offering deep insights into the cytoarchitecture of the human brain in relation to pathological conditions. Here, we propose a comprehensive pipeline for performing 3D imaging and automated quantitative cellular phenotyping on Formalin-Fixed Paraffin-Embedded (FFPE) human brain specimens, a valuable yet underutilized resource. We exploited the versatility of our method by applying it to different human specimens from both adult and pediatric, normal and abnormal brain regions. Quantitative data on neuronal volume, ellipticity, local density, and spatial clustering level were obtained from a machine learning-based analysis of the 3D cytoarchitectural organization of cells identified by different molecular markers in two subjects with malformations of cortical development (MCD). This approach will grant access to a wide range of physiological and pathological paraffin-embedded clinical specimens, allowing for volumetric imaging and quantitative analysis of human brain samples at cellular resolution. Possible genotype-phenotype correlations can be unveiled, providing new insights into the pathogenesis of various brain diseases and enlarging treatment opportunities.
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3
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Chen Y, Chauhan S, Gong C, Dayton H, Xu C, De La Cruz ED, Tsai YYW, Datta MS, Rosoklija GB, Dwork AJ, Mann JJ, Boldrini M, Leong KW, Dietrich LEP, Tomer R. Low-cost and scalable projected light-sheet microscopy for the high-resolution imaging of cleared tissue and living samples. Nat Biomed Eng 2024; 8:1109-1123. [PMID: 39209948 DOI: 10.1038/s41551-024-01249-9] [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: 08/06/2023] [Accepted: 08/02/2024] [Indexed: 09/04/2024]
Abstract
Light-sheet fluorescence microscopy (LSFM) is a widely used technique for imaging cleared tissue and living samples. However, high-performance LSFM systems are typically expensive and not easily scalable. Here we introduce a low-cost, scalable and versatile LSFM framework, which we named 'projected light-sheet microscopy' (pLSM), with high imaging performance and small device and computational footprints. We characterized the capabilities of pLSM, which repurposes readily available consumer-grade components, optimized optics, over-network control architecture and software-driven light-sheet modulation, by performing high-resolution mapping of cleared mouse brains and of post-mortem pathological human brain samples, and via the molecular phenotyping of brain and blood-vessel organoids derived from human induced pluripotent stem cells. We also report a method that leverages pLSM for the live imaging of the dynamics of sparsely labelled multi-layered bacterial pellicle biofilms at an air-liquid interface. pLSM can make high-resolution LSFM for biomedical applications more accessible, affordable and scalable.
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Affiliation(s)
- Yannan Chen
- Department of Biological Sciences, Columbia University, New York, NY, USA
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Shradha Chauhan
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Cheng Gong
- Department of Biological Sciences, Columbia University, New York, NY, USA
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Hannah Dayton
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Cong Xu
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | | | - Yu-Young Wesley Tsai
- Department of Biological Sciences, Columbia University, New York, NY, USA
- Mortimer B. Zuckerman Mind Brain and Behavior Institute, Columbia University, New York, NY, USA
| | - Malika S Datta
- Department of Biological Sciences, Columbia University, New York, NY, USA
- Mortimer B. Zuckerman Mind Brain and Behavior Institute, Columbia University, New York, NY, USA
| | - Gorazd B Rosoklija
- Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY, USA
| | - Andrew J Dwork
- Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
| | - J John Mann
- Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY, USA
| | - Maura Boldrini
- Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY, USA
| | - Kam W Leong
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Lars E P Dietrich
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Raju Tomer
- Department of Biological Sciences, Columbia University, New York, NY, USA.
- Department of Biomedical Engineering, Columbia University, New York, NY, USA.
- Mortimer B. Zuckerman Mind Brain and Behavior Institute, Columbia University, New York, NY, USA.
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4
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Chen A, Volpato G, Pong A, Schofield E, Huang J, Qiu Z, Paxinos G, Liang H. The Blood-Brain Barrier in Both Humans and Rats: A Perspective From 3D Imaging. Int J Biomed Imaging 2024; 2024:4482931. [PMID: 39224835 PMCID: PMC11368551 DOI: 10.1155/2024/4482931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 04/24/2024] [Accepted: 08/10/2024] [Indexed: 09/04/2024] Open
Abstract
Background: The blood-brain barrier (BBB) is part of the neurovascular unit (NVU) which plays a key role in maintaining homeostasis. However, its 3D structure is hardly known. The present study is aimed at imaging the BBB using tissue clearing and 3D imaging techniques in both human brain tissue and rat brain tissue. Methods: Both human and rat brain tissue were cleared using the CUBIC technique and imaged with either a confocal or two-photon microscope. Image stacks were reconstructed using Imaris. Results: Double staining with various antibodies targeting endothelial cells, basal membrane, pericytes of blood vessels, microglial cells, and the spatial relationship between astrocytes and blood vessels showed that endothelial cells do not evenly express CD31 and Glut1 transporter in the human brain. Astrocytes covered only a small portion of the vessels as shown by the overlap between GFAP-positive astrocytes and Collagen IV/CD31-positive endothelial cells as well as between GFAP-positive astrocytes and CD146-positive pericytes, leaving a big gap between their end feet. A similar structure was observed in the rat brain. Conclusions: The present study demonstrated the 3D structure of both the human and rat BBB, which is discrepant from the 2D one. Tissue clearing and 3D imaging are promising techniques to answer more questions about the real structure of biological specimens.
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Affiliation(s)
- Aiwen Chen
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai, China
- Clinical Research Center for Anesthesiology and Perioperative MedicineShanghai Fourth People's HospitalSchool of MedicineTongji University, Shanghai, China
- Translational Research Institute of Brain and Brain-Like IntelligenceShanghai Fourth People's HospitalSchool of MedicineTongji University, Shanghai, China
- Department of Anesthesiology and Perioperative MedicineShanghai Fourth People's HospitalSchool of MedicineTongji University, Shanghai, China
- Department of AcupunctureShuguang HospitalShanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Gavin Volpato
- Department of Brain Structure and FunctionNeuroscience Research Australia, Randwick, New South Wales, Australia
- School of Medical SciencesThe University of New South Wales, Kensington, New South Wales, Australia
| | - Alice Pong
- Department of Brain Structure and FunctionNeuroscience Research Australia, Randwick, New South Wales, Australia
- School of Medical SciencesThe University of New South Wales, Kensington, New South Wales, Australia
| | - Emma Schofield
- Department of Brain Structure and FunctionNeuroscience Research Australia, Randwick, New South Wales, Australia
- School of Medical SciencesThe University of New South Wales, Kensington, New South Wales, Australia
| | - Jun Huang
- School of Chemical and Biomolecular EngineeringThe University of Sydney, Camperdown, New South Wales, Australia
| | - Zizhao Qiu
- Centre of Life ScienceSuzhou Industrial Park Monash Research Institute of Science and TechnologySoutheast University-Monash University Joint Graduate SchoolMonash University-Southeast University Joint Research Institute, Suzhou, Jiangsu Province, China
| | - George Paxinos
- Department of Brain Structure and FunctionNeuroscience Research Australia, Randwick, New South Wales, Australia
- School of Medical SciencesThe University of New South Wales, Kensington, New South Wales, Australia
| | - Huazheng Liang
- Translational Research Institute of Brain and Brain-Like IntelligenceShanghai Fourth People's HospitalSchool of MedicineTongji University, Shanghai, China
- Department of Brain Structure and FunctionNeuroscience Research Australia, Randwick, New South Wales, Australia
- Centre of Life ScienceSuzhou Industrial Park Monash Research Institute of Science and TechnologySoutheast University-Monash University Joint Graduate SchoolMonash University-Southeast University Joint Research Institute, Suzhou, Jiangsu Province, China
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5
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Yagis E, Aslani S, Jain Y, Zhou Y, Rahmani S, Brunet J, Bellier A, Werlein C, Ackermann M, Jonigk D, Tafforeau P, Lee PD, Walsh C. Deep Learning for 3D Vascular Segmentation in Phase Contrast Tomography. RESEARCH SQUARE 2024:rs.3.rs-4613439. [PMID: 39070623 PMCID: PMC11276017 DOI: 10.21203/rs.3.rs-4613439/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel morphology changes are associated with numerous pathologies. Still, precise segmentation is difficult due to the complexity of vascular structures, anatomical variations across patients, the scarcity of annotated public datasets, and the quality of images. Our goal is to provide a foundation on the topic and identify a robust baseline model for application to vascular segmentation using a new imaging modality, Hierarchical Phase-Contrast Tomography (HiP-CT). We begin with an extensive review of current machine learning approaches for vascular segmentation across various organs. Our work introduces a meticulously curated training dataset, verified by double annotators, consisting of vascular data from three kidneys imaged using Hierarchical Phase-Contrast Tomography (HiP-CT) as part of the Human Organ Atlas Project. HiP-CT, pioneered at the European Synchrotron Radiation Facility in 2020, revolutionizes 3D organ imaging by offering resolution around 20μm/voxel, and enabling highly detailed localized zooms up to 1μm/voxel without physical sectioning. We leverage the nnU-Net framework to evaluate model performance on this high-resolution dataset, using both known and novel samples, and implementing metrics tailored for vascular structures. Our comprehensive review and empirical analysis on HiP-CT data sets a new standard for evaluating machine learning models in high-resolution organ imaging. Our three experiments yielded Dice scores of 0.9523 and 0.9410, and 0.8585, respectively. Nevertheless, DSC primarily assesses voxel-to-voxel concordance, overlooking several crucial characteristics of the vessels and should not be the sole metric for deciding the performance of vascular segmentation. Our results show that while segmentations yielded reasonably high scores-such as centerline Dice values ranging from 0.82 to 0.88, certain errors persisted. Specifically, large vessels that collapsed due to the lack of hydro-static pressure (HiP-CT is an ex vivo technique) were segmented poorly. Moreover, decreased connectivity in finer vessels and higher segmentation errors at vessel boundaries were observed. Such errors, particularly in significant vessels, obstruct the understanding of the structures by interrupting vascular tree connectivity. Through our review and outputs, we aim to set a benchmark for subsequent model evaluations using various modalities, especially with the HiP-CT imaging database.
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Affiliation(s)
- Ekin Yagis
- Department of Mechanical Engineering, University College London, London, UK
| | - Shahab Aslani
- Department of Mechanical Engineering, University College London, London, UK
- Centre for Medical Image Computing, University College London, London UK
| | - Yashvardhan Jain
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, USA
| | - Yang Zhou
- Department of Mechanical Engineering, University College London, London, UK
| | - Shahrokh Rahmani
- Department of Mechanical Engineering, University College London, London, UK
| | - Joseph Brunet
- Department of Mechanical Engineering, University College London, London, UK
- European Synchrotron Radiation Facility, Grenoble, France
| | | | - Christopher Werlein
- Institute of Pathology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | | | - Danny Jonigk
- Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
| | - Paul Tafforeau
- European Synchrotron Radiation Facility, Grenoble, France
| | - Peter D. Lee
- Department of Mechanical Engineering, University College London, London, UK
| | - Claire Walsh
- Department of Mechanical Engineering, University College London, London, UK
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6
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Rahmani S, Jafree DJ, Lee PD, Tafforeau P, Brunet J, Nandanwar S, Jacob J, Bellier A, Ackermann M, Jonigk DD, Shipley RJ, Long DA, Walsh CL. Mapping the blood vasculature in an intact human kidney using hierarchical phase-contrast tomography. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.03.28.534566. [PMID: 37034801 PMCID: PMC10081185 DOI: 10.1101/2023.03.28.534566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
The architecture of the kidney vasculature is essential for its function. Although structural profiling of the intact rodent kidney vasculature has been performed, it is challenging to map vascular architecture of larger human organs. We hypothesised that hierarchical phase-contrast tomography (HiP-CT) would enable quantitative analysis of the entire human kidney vasculature. Combining label-free HiP-CT imaging of an intact kidney from a 63-year-old male with topology network analysis, we quantitated vasculature architecture in the human kidney down to the scale of arterioles. Although human and rat kidney vascular topologies are comparable, vascular radius decreases at a significantly faster rate in humans as vessels branch from artery towards the cortex. At branching points of large vessels, radii are theoretically optimised to minimise flow resistance, an observation not found for smaller arterioles. Structural differences in the vasculature were found in different spatial zones of the kidney reflecting their unique functional roles. Overall, this represents the first time the entire arterial vasculature of a human kidney has been mapped providing essential inputs for computational models of kidney vascular flow and synthetic vascular architectures, with implications for understanding how the structure of individual blood vessels collectively scales to facilitate organ function.
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Affiliation(s)
- Shahrokh Rahmani
- Department of Mechanical Engineering, University College London, London, UK, WC1E 6BT
- National Heart & Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Daniyal J Jafree
- Developmental Biology and Cancer Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK, WC1N 1EH
- UCL MB/PhD Programme, Faculty of Medical Science, University College London, London, UK, WC1E 6BT
- UCL Centre of Kidney and Bladder Health, UCL London UK
| | - Peter D Lee
- Department of Mechanical Engineering, University College London, London, UK, WC1E 6BT
| | - Paul Tafforeau
- European Synchrotron Radiation Facility, Grenoble, France, 38043
| | - Joseph Brunet
- Department of Mechanical Engineering, University College London, London, UK, WC1E 6BT
- European Synchrotron Radiation Facility, Grenoble, France, 38043
| | - Sonal Nandanwar
- Department of Mechanical Engineering, University College London, London, UK, WC1E 6BT
| | - Joseph Jacob
- Satsuma Lab, Centre for Medical Image Computing, UCL, London, UK
- Lungs for Living Research Centre, UCL, London, UK
| | - Alexandre Bellier
- Department of Anatomy (LADAF), Grenoble Alpes University, Grenoble, France, 38058
| | - Maximilian Ackermann
- Institute of Anatomy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- Institute of Pathology and Department of Molecular Pathology, Helios University Clinic Wuppertal, University of Witten-Herdecke, Wuppertal, Germany
- Institute of Pathology, RWTH Aachen Medical University, Aachen, Germany
| | - Danny D Jonigk
- Institute of Pathology, RWTH Aachen Medical University, Aachen, Germany
- German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
| | - Rebecca J Shipley
- Department of Mechanical Engineering, University College London, London, UK, WC1E 6BT
| | - David A Long
- Developmental Biology and Cancer Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK, WC1N 1EH
- UCL Centre of Kidney and Bladder Health, UCL London UK
| | - Claire L Walsh
- Department of Mechanical Engineering, University College London, London, UK, WC1E 6BT
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7
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Brunet J, Cook AC, Walsh CL, Cranley J, Tafforeau P, Engel K, Arthurs O, Berruyer C, Burke O’Leary E, Bellier A, Torii R, Werlein C, Jonigk DD, Ackermann M, Dollman K, Lee PD, Atzen S. Multidimensional Analysis of the Adult Human Heart in Health and Disease Using Hierarchical Phase-Contrast Tomography. Radiology 2024; 312:e232731. [PMID: 39012246 PMCID: PMC11303834 DOI: 10.1148/radiol.232731] [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: 10/13/2023] [Revised: 05/02/2024] [Accepted: 05/07/2024] [Indexed: 07/17/2024]
Abstract
Background Current clinical imaging modalities such as CT and MRI provide resolution adequate to diagnose cardiovascular diseases but cannot depict detailed structural features in the heart across length scales. Hierarchical phase-contrast tomography (HiP-CT) uses fourth-generation synchrotron sources with improved x-ray brilliance and high energies to provide micron-resolution imaging of intact adult organs with unprecedented detail. Purpose To evaluate the capability of HiP-CT to depict the macro- to microanatomy of structurally normal and abnormal adult human hearts ex vivo. Materials and Methods Between February 2021 and September 2023, two adult human donor hearts were obtained, fixed in formalin, and prepared using a mixture of crushed agar in a 70% ethanol solution. One heart was from a 63-year-old White male without known cardiac disease, and the other was from an 87-year-old White female with a history of multiple known cardiovascular pathologies including ischemic heart disease, hypertension, and atrial fibrillation. Nondestructive ex vivo imaging of these hearts without exogenous contrast agent was performed using HiP-CT at the European Synchrotron Radiation Facility. Results HiP-CT demonstrated the capacity for high-spatial-resolution, multiscale cardiac imaging ex vivo, revealing histologic-level detail of the myocardium, valves, coronary arteries, and cardiac conduction system across length scales. Virtual sectioning of the cardiac conduction system provided information on fatty infiltration, vascular supply, and pathways between the cardiac nodes and adjacent structures. HiP-CT achieved resolutions ranging from gross (isotropic voxels of approximately 20 µm) to microscopic (approximately 6.4-µm voxel size) to cellular (approximately 2.3-µm voxel size) in scale. The potential for quantitative assessment of features in health and disease was demonstrated. Conclusion HiP-CT provided high-spatial-resolution, three-dimensional images of structurally normal and diseased ex vivo adult human hearts. Whole-heart image volumes were obtained with isotropic voxels of approximately 20 µm, and local regions of interest were obtained with resolution down to 2.3-6.4 µm without the need for sectioning, destructive techniques, or exogenous contrast agents. Published under a CC BY 4.0 license Supplemental material is available for this article. See also the editorial by Bluemke and Pourmorteza in this issue.
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Affiliation(s)
- Joseph Brunet
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Andrew C. Cook
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Claire L. Walsh
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - James Cranley
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Paul Tafforeau
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Klaus Engel
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Owen Arthurs
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Camille Berruyer
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Emer Burke O’Leary
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Alexandre Bellier
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Ryo Torii
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Christopher Werlein
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Danny D. Jonigk
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Maximilian Ackermann
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Kathleen Dollman
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Peter D. Lee
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
| | - Sarah Atzen
- From the Department of Mechanical Engineering, University College
London, London, England (J.B., C.L.W., C.B., E.B.O.L., R.T., P.D.L.); European
Synchrotron Radiation Facility, 71 Av des Martyrs, 38000 Grenoble, France (J.B.,
P.T., C.B., K.D.); UCL Institute of Cardiovascular Science, London, England
(A.C.C.); Wellcome Sanger Institute, Hinxton, England (J.C.); Siemenst
Healthineers, Erlangen, Germany (K.E.); Department of Radiology, Great Ormond
Street Hospital for Children NHS Foundation Trust, London, England (O.A.);
Laboratoire d’Anatomie des Alpes Françaises, Université
Grenoble Alpes, Grenoble, France (A.B.); Institute of Pathology, Hannover
Medical School, Hannover, Germany (C.W.); Biomedical Research in Endstage and
Obstructive Lung Disease Hannover, German Center for Lung Research (DZL),
Hannover, Germany (D.D.J.); Institute of Pathology, Faculty of Medicine, RWTH
Aachen University, Aachen, Germany (D.D.J., M.A.); Institute of Pathology and
Molecular Pathology, Helios University Clinic Wuppertal, Universität
Witten/Herdecke, Wuppertal, Germany (M.A.); Institute of Functional and Clinical
Anatomy, University Medical Center of the Johannes Gutenberg–University
Mainz, Mainz, Germany (M.A.); and Research Complex at Harwell, Didcot, England
(P.D.L.)
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8
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Ertürk A. Deep 3D histology powered by tissue clearing, omics and AI. Nat Methods 2024; 21:1153-1165. [PMID: 38997593 DOI: 10.1038/s41592-024-02327-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 05/28/2024] [Indexed: 07/14/2024]
Abstract
To comprehensively understand tissue and organism physiology and pathophysiology, it is essential to create complete three-dimensional (3D) cellular maps. These maps require structural data, such as the 3D configuration and positioning of tissues and cells, and molecular data on the constitution of each cell, spanning from the DNA sequence to protein expression. While single-cell transcriptomics is illuminating the cellular and molecular diversity across species and tissues, the 3D spatial context of these molecular data is often overlooked. Here, I discuss emerging 3D tissue histology techniques that add the missing third spatial dimension to biomedical research. Through innovations in tissue-clearing chemistry, labeling and volumetric imaging that enhance 3D reconstructions and their synergy with molecular techniques, these technologies will provide detailed blueprints of entire organs or organisms at the cellular level. Machine learning, especially deep learning, will be essential for extracting meaningful insights from the vast data. Further development of integrated structural, molecular and computational methods will unlock the full potential of next-generation 3D histology.
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Affiliation(s)
- Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Zentrum München, Neuherberg, Germany.
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University, Munich, Germany.
- School of Medicine, Koç University, İstanbul, Turkey.
- Deep Piction GmbH, Munich, Germany.
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9
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Kaltenecker D, Al-Maskari R, Negwer M, Hoeher L, Kofler F, Zhao S, Todorov M, Rong Z, Paetzold JC, Wiestler B, Piraud M, Rueckert D, Geppert J, Morigny P, Rohm M, Menze BH, Herzig S, Berriel Diaz M, Ertürk A. Virtual reality-empowered deep-learning analysis of brain cells. Nat Methods 2024; 21:1306-1315. [PMID: 38649742 PMCID: PMC11239522 DOI: 10.1038/s41592-024-02245-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 03/12/2024] [Indexed: 04/25/2024]
Abstract
Automated detection of specific cells in three-dimensional datasets such as whole-brain light-sheet image stacks is challenging. Here, we present DELiVR, a virtual reality-trained deep-learning pipeline for detecting c-Fos+ cells as markers for neuronal activity in cleared mouse brains. Virtual reality annotation substantially accelerated training data generation, enabling DELiVR to outperform state-of-the-art cell-segmenting approaches. Our pipeline is available in a user-friendly Docker container that runs with a standalone Fiji plugin. DELiVR features a comprehensive toolkit for data visualization and can be customized to other cell types of interest, as we did here for microglia somata, using Fiji for dataset-specific training. We applied DELiVR to investigate cancer-related brain activity, unveiling an activation pattern that distinguishes weight-stable cancer from cancers associated with weight loss. Overall, DELiVR is a robust deep-learning tool that does not require advanced coding skills to analyze whole-brain imaging data in health and disease.
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Affiliation(s)
- Doris Kaltenecker
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Rami Al-Maskari
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
- Department of Computer Science, TUM Computation, Information and Technology, Technical University of Munich (TUM), Munich, Germany
- Center for Translational Cancer Research of the TUM (TranslaTUM), Munich, Germany
| | - Moritz Negwer
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
| | - Luciano Hoeher
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
| | - Florian Kofler
- Department of Computer Science, TUM Computation, Information and Technology, Technical University of Munich (TUM), Munich, Germany
- Center for Translational Cancer Research of the TUM (TranslaTUM), Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Helmholtz AI, Helmholtz Munich, Neuherberg, Germany
| | - Shan Zhao
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
| | - Mihail Todorov
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
| | - Zhouyi Rong
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
| | - Johannes Christian Paetzold
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany
- Center for Translational Cancer Research of the TUM (TranslaTUM), Munich, Germany
- Department of Computing, Imperial College London, London, United Kingdom
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Marie Piraud
- Helmholtz AI, Helmholtz Munich, Neuherberg, Germany
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, United Kingdom
| | - Julia Geppert
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Pauline Morigny
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Maria Rohm
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Bjoern H Menze
- Department of Computer Science, TUM Computation, Information and Technology, Technical University of Munich (TUM), Munich, Germany
- Department for Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Stephan Herzig
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Chair Molecular Metabolic Control, TU Munich, Munich, Germany
| | - Mauricio Berriel Diaz
- Institute for Diabetes and Cancer (IDC), Helmholtz Munich, Neuherberg, Germany.
- Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital, Heidelberg, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
| | - Ali Ertürk
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, Germany.
- School of Medicine, Koç University, İstanbul, Turkey.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
- Deep Piction, Munich, Germany.
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10
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Otomo K, Omura T, Nozawa Y, Edwards SJ, Sato Y, Saito Y, Yagishita S, Uchida H, Watakabe Y, Naitou K, Yanai R, Sahara N, Takagi S, Katayama R, Iwata Y, Shiokawa T, Hayakawa Y, Otsuka K, Watanabe-Takano H, Haneda Y, Fukuhara S, Fujiwara M, Nii T, Meno C, Takeshita N, Yashiro K, Rosales Rocabado JM, Kaku M, Yamada T, Oishi Y, Koike H, Cheng Y, Sekine K, Koga JI, Sugiyama K, Kimura K, Karube F, Kim H, Manabe I, Nemoto T, Tainaka K, Hamada A, Brismar H, Susaki EA. descSPIM: an affordable and easy-to-build light-sheet microscope optimized for tissue clearing techniques. Nat Commun 2024; 15:4941. [PMID: 38866781 PMCID: PMC11169475 DOI: 10.1038/s41467-024-49131-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 05/24/2024] [Indexed: 06/14/2024] Open
Abstract
Despite widespread adoption of tissue clearing techniques in recent years, poor access to suitable light-sheet fluorescence microscopes remains a major obstacle for biomedical end-users. Here, we present descSPIM (desktop-equipped SPIM for cleared specimens), a low-cost ($20,000-50,000), low-expertise (one-day installation by a non-expert), yet practical do-it-yourself light-sheet microscope as a solution for this bottleneck. Even the most fundamental configuration of descSPIM enables multi-color imaging of whole mouse brains and a cancer cell line-derived xenograft tumor mass for the visualization of neurocircuitry, assessment of drug distribution, and pathological examination by false-colored hematoxylin and eosin staining in a three-dimensional manner. Academically open-sourced ( https://github.com/dbsb-juntendo/descSPIM ), descSPIM allows routine three-dimensional imaging of cleared samples in minutes. Thus, the dissemination of descSPIM will accelerate biomedical discoveries driven by tissue clearing technologies.
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Affiliation(s)
- Kohei Otomo
- Department of Biochemistry and Systems Biomedicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Biochemistry II, Juntendo University School of Medicine, Tokyo, Japan
- Nakatani Biomedical Spatialomics Hub, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Division of Biophotonics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Japan
- Biophotonics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Japan
| | - Takaki Omura
- Department of Biochemistry and Systems Biomedicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Nakatani Biomedical Spatialomics Hub, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Neurosurgery, University of Tokyo, Tokyo, Japan
- Department of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Yuki Nozawa
- Biochemistry II, Juntendo University School of Medicine, Tokyo, Japan
| | - Steven J Edwards
- Science for Life Laboratory, Department of Applied Physics, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Yukihiko Sato
- Department of Biochemistry and Systems Biomedicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Nakatani Biomedical Spatialomics Hub, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuri Saito
- Department of Biochemistry and Systems Biomedicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Nakatani Biomedical Spatialomics Hub, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shigehiro Yagishita
- Department of Pharmacology and Therapeutics, Fundamental Innovative Oncology Core, National Cancer Center Research Institute, Tokyo, Japan
- Division of Molecular Pharmacology, National Cancer Center Research Institute, Tokyo, Japan
| | - Hitoshi Uchida
- Department of System Pathology for Neurological Disorders, Brain Research Institute, Niigata University, Niigata, Japan
| | - Yuki Watakabe
- Division of Biophotonics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Japan
- Biophotonics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Japan
| | - Kiyotada Naitou
- Department of Basic Veterinary Science, Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima, Japan
| | - Rin Yanai
- Advanced Neuroimaging Center, Institute for Quantum Medical Sciences, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Naruhiko Sahara
- Advanced Neuroimaging Center, Institute for Quantum Medical Sciences, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Satoshi Takagi
- Division of Experimental Chemotherapy, Cancer Chemotherapy Center, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Ryohei Katayama
- Division of Experimental Chemotherapy, Cancer Chemotherapy Center, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Yusuke Iwata
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Toshiro Shiokawa
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yoku Hayakawa
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kensuke Otsuka
- Biology and Environmental Chemistry Division, Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry, Chiba, Japan
| | - Haruko Watanabe-Takano
- Department of Molecular Pathophysiology, Institute for Advanced Medical Sciences, Nippon Medical School, Tokyo, Japan
| | - Yuka Haneda
- Department of Molecular Pathophysiology, Institute for Advanced Medical Sciences, Nippon Medical School, Tokyo, Japan
| | - Shigetomo Fukuhara
- Department of Molecular Pathophysiology, Institute for Advanced Medical Sciences, Nippon Medical School, Tokyo, Japan
| | - Miku Fujiwara
- Department of Developmental Biology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takenobu Nii
- Department of Developmental Biology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Chikara Meno
- Department of Developmental Biology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Naoki Takeshita
- Anatomy and Developmental Biology, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Pediatrics, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kenta Yashiro
- Anatomy and Developmental Biology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Juan Marcelo Rosales Rocabado
- Division of Bio-prosthodontics, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Masaru Kaku
- Division of Bio-prosthodontics, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Tatsuya Yamada
- Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, USA
| | - Yumiko Oishi
- Department of Meidical Biochemistry, Tokyo Medical and Dental University, Tokyo, Japan
| | - Hiroyuki Koike
- Department of Meidical Biochemistry, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yinglan Cheng
- Department of Meidical Biochemistry, Tokyo Medical and Dental University, Tokyo, Japan
| | - Keisuke Sekine
- Laboratory of Cancer Cell Systems, National Cancer Center Research Institute, Tokyo, Japan
| | - Jun-Ichiro Koga
- The Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Kaori Sugiyama
- Institute for Advanced Research of Biosystem Dynamics, Research Institute for Science and Engineering, Waseda University, Tokyo, Japan
| | - Kenichi Kimura
- Life Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance (TARA), University of Tsukuba, Tsukuba, Japan
| | - Fuyuki Karube
- Lab of Histology and Cytology, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Hyeree Kim
- Department of Systems Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Ichiro Manabe
- Department of Systems Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Tomomi Nemoto
- Division of Biophotonics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Japan
- Biophotonics Research Group, Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Okazaki, Japan
| | - Kazuki Tainaka
- Department of System Pathology for Neurological Disorders, Brain Research Institute, Niigata University, Niigata, Japan
| | - Akinobu Hamada
- Department of Pharmacology and Therapeutics, Fundamental Innovative Oncology Core, National Cancer Center Research Institute, Tokyo, Japan
- Division of Molecular Pharmacology, National Cancer Center Research Institute, Tokyo, Japan
| | - Hjalmar Brismar
- Science for Life Laboratory, Department of Applied Physics, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Etsuo A Susaki
- Department of Biochemistry and Systems Biomedicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
- Biochemistry II, Juntendo University School of Medicine, Tokyo, Japan.
- Nakatani Biomedical Spatialomics Hub, Juntendo University Graduate School of Medicine, Tokyo, Japan.
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11
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Wu M, Song G, Li J, Song Z, Zhao B, Liang L, Li W, Hu H, Tu H, Li S, Li P, Zhang B, Wang W, Zhang Y, Zhang W, Zheng W, Wang J, Wen Y, Wang K, Li A, Zhou T, Zhang Y, Li H. Innervation of nociceptor neurons in the spleen promotes germinal center responses and humoral immunity. Cell 2024; 187:2935-2951.e19. [PMID: 38772371 DOI: 10.1016/j.cell.2024.04.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 03/18/2024] [Accepted: 04/20/2024] [Indexed: 05/23/2024]
Abstract
Peripheral sensory neurons widely innervate various tissues to continuously monitor and respond to environmental stimuli. Whether peripheral sensory neurons innervate the spleen and modulate splenic immune response remains poorly defined. Here, we demonstrate that nociceptive sensory nerve fibers extensively innervate the spleen along blood vessels and reach B cell zones. The spleen-innervating nociceptors predominantly originate from left T8-T13 dorsal root ganglia (DRGs), promoting the splenic germinal center (GC) response and humoral immunity. Nociceptors can be activated by antigen-induced accumulation of splenic prostaglandin E2 (PGE2) and then release calcitonin gene-related peptide (CGRP), which further promotes the splenic GC response at the early stage. Mechanistically, CGRP directly acts on B cells through its receptor CALCRL-RAMP1 via the cyclic AMP (cAMP) signaling pathway. Activating nociceptors by ingesting capsaicin enhances the splenic GC response and anti-influenza immunity. Collectively, our study establishes a specific DRG-spleen sensory neural connection that promotes humoral immunity, suggesting a promising approach for improving host defense by targeting the nociceptive nervous system.
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Affiliation(s)
- Min Wu
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Guangping Song
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China; School of Medicine, Tsinghua University, Beijing, China
| | - Jianing Li
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Zengqing Song
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Bing Zhao
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Liyun Liang
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China; School of Medicine, Tsinghua University, Beijing, China
| | - Wenlong Li
- Chinese Institute for Brain Research, Beijing, China
| | - Huaibin Hu
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Haiqing Tu
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Sen Li
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Peiyao Li
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China; School of Medicine, Tsinghua University, Beijing, China
| | - Biyu Zhang
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Wen Wang
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Yu Zhang
- School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Wanpeng Zhang
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Weifan Zheng
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Jiarong Wang
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Yuqi Wen
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Kai Wang
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Ailing Li
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China
| | - Tao Zhou
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China.
| | - Yucheng Zhang
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China.
| | - Huiyan Li
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, China.
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12
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Zheng J, Wu YC, Phillips EH, Cai X, Wang X, Seung-Young Lee S. Increased Multiplexity in Optical Tissue Clearing-Based Three-Dimensional Immunofluorescence Microscopy of the Tumor Microenvironment by Light-Emitting Diode Photobleaching. J Transl Med 2024; 104:102072. [PMID: 38679160 PMCID: PMC11240282 DOI: 10.1016/j.labinv.2024.102072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/29/2024] [Accepted: 04/19/2024] [Indexed: 05/01/2024] Open
Abstract
Optical tissue clearing and three-dimensional (3D) immunofluorescence (IF) microscopy is transforming imaging of the complex tumor microenvironment (TME). However, current 3D IF microscopy has restricted multiplexity; only 3 or 4 cellular and noncellular TME components can be localized in cleared tumor tissue. Here we report a light-emitting diode (LED) photobleaching method and its application for 3D multiplexed optical mapping of the TME. We built a high-power LED light irradiation device and temperature-controlled chamber for completely bleaching fluorescent signals throughout optically cleared tumor tissues without compromise of tissue and protein antigen integrity. With newly developed tissue mounting and selected region-tracking methods, we established a cyclic workflow involving IF staining, tissue clearing, 3D confocal microscopy, and LED photobleaching. By registering microscope channel images generated through 3 work cycles, we produced 8-plex image data from individual 400 μm-thick tumor macrosections that visualize various vascular, immune, and cancer cells in the same TME at tissue-wide and cellular levels in 3D. Our method was also validated for quantitative 3D spatial analysis of cellular remodeling in the TME after immunotherapy. These results demonstrate that our LED photobleaching system and its workflow offer a novel approach to increase the multiplexing power of 3D IF microscopy for studying tumor heterogeneity and response to therapy.
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Affiliation(s)
- Jingtian Zheng
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois
| | - Yi-Chien Wu
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois
| | - Evan H Phillips
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois
| | - Xiaoying Cai
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois
| | - Xu Wang
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois
| | - Steve Seung-Young Lee
- Department of Pharmaceutical Sciences, University of Illinois, Chicago, Chicago, Illinois; University of Illinois Cancer Center, University of Illinois Chicago, Chicago, Illinois.
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13
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Tan Y, Zhang Y, Li JLY, Chia HY, Tan MWP, Ebel G, Leong KWK, Lim EYQ, Chong KKL, Lee BTK, Ng LG, Tey HL. Visualising cancer in 3D: 3-Dimensional Tissue Imaging for management of cutaneous basal cell carcinoma. Exp Dermatol 2024; 33:e15097. [PMID: 38840370 DOI: 10.1111/exd.15097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 04/24/2024] [Accepted: 04/26/2024] [Indexed: 06/07/2024]
Abstract
Surgical management of basal cell carcinoma (BCC) typically involves surgical excision with post-operative margin assessment using the bread-loafing technique; or gold-standard Mohs micrographic surgery (MMS), where margins are iteratively examined for residual cancer after tumour removal, with additional excisions performed upon detecting residual tumour at margins. There is limited sampling of resection margins with bread loafing, with detection of positive margins 44% of the time using 2 mm intervals. To resolve this, we have developed three-dimensional (3D) Tissue Imaging for: (1) complete examination of cancer margins and (2) detection of tumour proximity to nerves and blood vessels. 3D Tissue optical clearing with a light sheet imaging protocol was developed for margin assessment in two datasets assessed by two independent evaluators: (1) 48 samples from 29 patients with varied BCC subtypes, sizes and pigmentation levels; (2) 32 samples with matching Mohs' surgeon reading of tumour margins using two-dimensional haematoxylin & eosin-stained sections. The 3D Tissue Imaging protocol permits a complete examination of deeper and peripheral margins. Two independent evaluators achieved negative predictive values of 92.3% and 88.24% with 3D Tissue Imaging. Images obtained from 3D Tissue Imaging recapitulates histological features of BCC, such as nuclear crowding, palisading and retraction clefting and provides a 3D context for recognising normal skin adnexal structures. Concurrent immunofluorescence labelling of nerves and blood vessels allows visualisation of structures closer to tumour-positive regions, which may have a higher risk for neural and vascular infiltration. Together, this method provides more information in a 3D spatial context, enabling better cancer management by clinicians.
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Affiliation(s)
- Yingrou Tan
- National Skin Centre, National Healthcare Group, Singapore, Singapore
- Singapore Immunology Network, SIgN, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Skin Research Institute of Singapore, SRIS, Agency of Science and Technology and Research (A*STAR), Singapore, Singapore
| | - Yuning Zhang
- National Skin Centre, National Healthcare Group, Singapore, Singapore
- Singapore Immunology Network, SIgN, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jackson Liang Yao Li
- Singapore Immunology Network, SIgN, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Hui Yi Chia
- National Skin Centre, National Healthcare Group, Singapore, Singapore
| | | | - Gernot Ebel
- Miltenyi Biotec B.V. & Co. KG, Bielefeld, Germany
| | - Keith Weng Kit Leong
- Singapore Immunology Network, SIgN, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Eiffer Ying Qi Lim
- National Skin Centre, National Healthcare Group, Singapore, Singapore
- Singapore Immunology Network, SIgN, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- School of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, Singapore, Singapore
| | - Kylia Kai Ling Chong
- National Skin Centre, National Healthcare Group, Singapore, Singapore
- Singapore Immunology Network, SIgN, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- School of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, Singapore, Singapore
| | - Bernett Teck Kwong Lee
- Singapore Immunology Network, SIgN, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Lai Guan Ng
- National Skin Centre, National Healthcare Group, Singapore, Singapore
- Singapore Immunology Network, SIgN, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Shanghai Immune Therapy Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Hong Liang Tey
- National Skin Centre, National Healthcare Group, Singapore, Singapore
- Skin Research Institute of Singapore, SRIS, Agency of Science and Technology and Research (A*STAR), Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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14
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Oz S, Saar G, Olszakier S, Heinrich R, Kompanets MO, Berlin S. Revealing the MRI-Contrast in Optically Cleared Brains. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2400316. [PMID: 38647385 PMCID: PMC11165557 DOI: 10.1002/advs.202400316] [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: 01/09/2024] [Revised: 04/10/2024] [Indexed: 04/25/2024]
Abstract
The current consensus holds that optically-cleared specimens are unsuitable for Magnetic Resonance Imaging (MRI); exhibiting absence of contrast. Prior studies combined MRI with tissue-clearing techniques relying on the latter's ability to eliminate lipids, thereby fostering the assumption that lipids constitute the primary source of ex vivo MRI-contrast. Nevertheless, these findings contradict an extensive body of literature that underscores the contribution of other features to contrast. Furthermore, it remains unknown whether non-delipidating clearing methods can produce MRI-compatible specimens or whether MRI-contrast can be re-established. These limitations hinder the development of multimodal MRI-light-microscopy (LM) imaging approaches. This study assesses the relation between MRI-contrast, and delipidation in optically-cleared whole brains following different tissue-clearing approaches. It is demonstrated that uDISCO and ECi-brains are MRI-compatible upon tissue rehydration, despite both methods' substantial delipidating-nature. It is also demonstrated that, whereas Scale-clearing preserves most lipids, Scale-cleared brain lack MRI-contrast. Furthermore, MRI-contrast is restored to lipid-free CLARITY-brains without introducing lipids. Our results thereby dissociate between the essentiality of lipids to MRI-contrast. A tight association is found between tissue expansion, hyperhydration and loss of MRI-contrast. These findings then enabled us to develop a multimodal MRI-LM-imaging approach, opening new avenues to bridge between the micro- and mesoscale for biomedical research and clinical applications.
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Affiliation(s)
- Shimrit Oz
- Department of NeuroscienceFaculty of MedicineTechnion‐Israel Institute of TechnologyHaifa3525433Israel
| | - Galit Saar
- Biomedical Core FacilityFaculty of MedicineTechnion‐Israel Institute of TechnologyHaifa3525433Israel
| | - Shunit Olszakier
- Department of NeuroscienceFaculty of MedicineTechnion‐Israel Institute of TechnologyHaifa3525433Israel
| | - Ronit Heinrich
- Department of NeuroscienceFaculty of MedicineTechnion‐Israel Institute of TechnologyHaifa3525433Israel
| | - Mykhail O. Kompanets
- L.M. Litvinenko Institute of Physico‐Organic Chemistry and Coal ChemistryNational Academy of Sciences of UkraineKyivUkraine
| | - Shai Berlin
- Department of NeuroscienceFaculty of MedicineTechnion‐Israel Institute of TechnologyHaifa3525433Israel
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15
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Lin YH, Wang LW, Chen YH, Chan YC, Hu SH, Wu SY, Chiang CS, Huang GJ, Yang SD, Chu SW, Wang KC, Lin CH, Huang PH, Cheng HJ, Chen BC, Chu LA. Revealing intact neuronal circuitry in centimeter-sized formalin-fixed paraffin-embedded brain. eLife 2024; 13:RP93212. [PMID: 38775133 PMCID: PMC11111220 DOI: 10.7554/elife.93212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2024] Open
Abstract
Tissue-clearing and labeling techniques have revolutionized brain-wide imaging and analysis, yet their application to clinical formalin-fixed paraffin-embedded (FFPE) blocks remains challenging. We introduce HIF-Clear, a novel method for efficiently clearing and labeling centimeter-thick FFPE specimens using elevated temperature and concentrated detergents. HIF-Clear with multi-round immunolabeling reveals neuron circuitry regulating multiple neurotransmitter systems in a whole FFPE mouse brain and is able to be used as the evaluation of disease treatment efficiency. HIF-Clear also supports expansion microscopy and can be performed on a non-sectioned 15-year-old FFPE specimen, as well as a 3-month formalin-fixed mouse brain. Thus, HIF-Clear represents a feasible approach for researching archived FFPE specimens for future neuroscientific and 3D neuropathological analyses.
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Affiliation(s)
- Ya-Hui Lin
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua UniversityHsinchuTaiwan
- Brain Research Center, National Tsing Hua UniversityHsinchuTaiwan
| | - Li-Wen Wang
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua UniversityHsinchuTaiwan
- Brain Research Center, National Tsing Hua UniversityHsinchuTaiwan
| | - Yen-Hui Chen
- Institute of Biomedical Sciences, Academia SinicaTaipeiTaiwan
| | - Yi-Chieh Chan
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua UniversityHsinchuTaiwan
| | - Shang-Hsiu Hu
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua UniversityHsinchuTaiwan
| | - Sheng-Yan Wu
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua UniversityHsinchuTaiwan
| | - Chi-Shiun Chiang
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua UniversityHsinchuTaiwan
| | - Guan-Jie Huang
- Department of Physics, National Taiwan UniversityTaipeiTaiwan
| | - Shang-Da Yang
- Institute of Photonics Technologies, National Tsing Hua UniversityHsinchuTaiwan
| | - Shi-Wei Chu
- Department of Physics, National Taiwan UniversityTaipeiTaiwan
| | - Kuo-Chuan Wang
- Department of Neurosurgery, National Taiwan University HospitalTaipeiTaiwan
| | - Chin-Hsien Lin
- Department of Neurosurgery, National Taiwan University HospitalTaipeiTaiwan
| | - Pei-Hsin Huang
- Department of Pathology, National Taiwan University HospitalTaipeiTaiwan
| | | | - Bi-Chang Chen
- Research Center for Applied Sciences, Academia SinicaTaipeiTaiwan
| | - Li-An Chu
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua UniversityHsinchuTaiwan
- Brain Research Center, National Tsing Hua UniversityHsinchuTaiwan
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16
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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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17
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Yu T, Yang Q, Peng B, Gu Z, Zhu D. Vascularized organoid-on-a-chip: design, imaging, and analysis. Angiogenesis 2024; 27:147-172. [PMID: 38409567 DOI: 10.1007/s10456-024-09905-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/11/2024] [Indexed: 02/28/2024]
Abstract
Vascularized organoid-on-a-chip (VOoC) models achieve substance exchange in deep layers of organoids and provide a more physiologically relevant system in vitro. Common designs for VOoC primarily involve two categories: self-assembly of endothelial cells (ECs) to form microvessels and pre-patterned vessel lumens, both of which include the hydrogel region for EC growth and allow for controlled fluid perfusion on the chip. Characterizing the vasculature of VOoC often relies on high-resolution microscopic imaging. However, the high scattering of turbid tissues can limit optical imaging depth. To overcome this limitation, tissue optical clearing (TOC) techniques have emerged, allowing for 3D visualization of VOoC in conjunction with optical imaging techniques. The acquisition of large-scale imaging data, coupled with high-resolution imaging in whole-mount preparations, necessitates the development of highly efficient analysis methods. In this review, we provide an overview of the chip designs and culturing strategies employed for VOoC, as well as the applicable optical imaging and TOC methods. Furthermore, we summarize the vascular analysis techniques employed in VOoC, including deep learning. Finally, we discuss the existing challenges in VOoC and vascular analysis methods and provide an outlook for future development.
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Affiliation(s)
- Tingting Yu
- Britton Chance Center for Biomedical Photonics - MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
- Wuhan National Laboratory for Optoelectronics - Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Qihang Yang
- Britton Chance Center for Biomedical Photonics - MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
- Wuhan National Laboratory for Optoelectronics - Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Bo Peng
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, Shanxi, 710072, China
| | - Zhongze Gu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, 210096, China
- Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, Jiangsu, 215163, China
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics - MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
- Wuhan National Laboratory for Optoelectronics - Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
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18
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Koehler S, Hengel FE, Dumoulin B, Damashek L, Holzman LB, Susztak K, Huber TB. The 14th International Podocyte Conference 2023: from podocyte biology to glomerular medicine. Kidney Int 2024; 105:935-952. [PMID: 38447880 DOI: 10.1016/j.kint.2024.01.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/11/2023] [Accepted: 01/02/2024] [Indexed: 03/08/2024]
Abstract
The 14th International Podocyte Conference took place in Philadelphia, Pennsylvania, USA from May 23 to 26, 2023. It commenced with an early-career researchers' meeting on May 23, providing young scientists with a platform to present and discuss their research findings. Throughout the main conference, 29 speakers across 9 sessions shared their insights on podocyte biology, glomerular medicine, novel technologic advancements, and translational approaches. Additionally, the event featured 3 keynote lectures addressing engineered chimeric antigen receptor T cell- and mRNA-based therapies and the use of biobanks for enhanced disease comprehension. Furthermore, 4 brief oral abstract sessions allowed scientists to present their findings to a broad audience. The program also included a panel discussion addressing the challenges of conducting human research within the American Black community. Remarkably, after a 5-year hiatus from in-person conferences, the 14th International Podocyte Conference successfully convened scientists from around the globe, fostering the presentation and discussion of crucial research findings, as summarized in this review. Furthermore, to ensure continuous and sustainable education, research, translation, and trial medicine related to podocyte and glomerular diseases for the benefit of patients, the International Society of Glomerular Disease was officially launched during the conference.
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Affiliation(s)
- Sybille Koehler
- III. Department of Medicine and Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Felicitas E Hengel
- III. Department of Medicine and Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Bernhard Dumoulin
- III. Department of Medicine and Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany; Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Laurel Damashek
- International Society of Glomerular Disease, Florence, Massachusetts, USA
| | - Lawrence B Holzman
- Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Katalin Susztak
- Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA; Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Tobias B Huber
- III. Department of Medicine and Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany; International Society of Glomerular Disease, Florence, Massachusetts, USA.
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19
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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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20
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Takahashi-Yamashiro K, Miyazono K. Tissue clearing method in visualization of cancer progression and metastasis. Ups J Med Sci 2024; 129:10634. [PMID: 38716075 PMCID: PMC11075440 DOI: 10.48101/ujms.v129.10634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 03/07/2024] [Indexed: 05/24/2024] Open
Abstract
Since various imaging modalities have been developed, cancer metastasis can be detected from an early stage. However, limitations still exist, especially in terms of spatial resolution. Tissue-clearing technology has emerged as a new imaging modality in cancer research, which has been developed and utilized for a long time mainly in neuroscience field. This method enables us to detect cancer metastatic foci with single-cell resolution at whole mouse body/organ level. On top of that, 3D images of cancer metastasis of whole mouse organs make it easy to understand their characteristics. Recently, further applications of tissue clearing methods were reported in combination with reporter systems, labeling, and machine learning. In this review, we would like to provide an overview of this technique and current applications in cancer research and discuss their potentials and limitations.
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Affiliation(s)
- Kei Takahashi-Yamashiro
- Department of Chemistry, Faculty of Science, University of Alberta, Edmonton, Alberta, Canada
| | - Kohei Miyazono
- Department of Applied Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Laboratory for Cancer Invasion and Metastasis, Institute for Medical Sciences, RIKEN, Yokohama City, Kanagawa, Japan
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21
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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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22
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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: 23] [Impact Index Per Article: 23.0] [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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23
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Vladimirov N, Voigt FF, Naert T, Araujo GR, Cai R, Reuss AM, Zhao S, Schmid P, Hildebrand S, Schaettin M, Groos D, Mateos JM, Bethge P, Yamamoto T, Aerne V, Roebroeck A, Ertürk A, Aguzzi A, Ziegler U, Stoeckli E, Baudis L, Lienkamp SS, Helmchen F. Benchtop mesoSPIM: a next-generation open-source light-sheet microscope for cleared samples. Nat Commun 2024; 15:2679. [PMID: 38538644 PMCID: PMC10973490 DOI: 10.1038/s41467-024-46770-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 03/08/2024] [Indexed: 04/04/2024] Open
Abstract
In 2015, we launched the mesoSPIM initiative, an open-source project for making light-sheet microscopy of large cleared tissues more accessible. Meanwhile, the demand for imaging larger samples at higher speed and resolution has increased, requiring major improvements in the capabilities of such microscopes. Here, we introduce the next-generation mesoSPIM ("Benchtop") with a significantly increased field of view, improved resolution, higher throughput, more affordable cost, and simpler assembly compared to the original version. We develop an optical method for testing detection objectives that enables us to select objectives optimal for light-sheet imaging with large-sensor cameras. The improved mesoSPIM achieves high spatial resolution (1.5 µm laterally, 3.3 µm axially) across the entire field of view, magnification up to 20×, and supports sample sizes ranging from sub-mm up to several centimeters while being compatible with multiple clearing techniques. The microscope serves a broad range of applications in neuroscience, developmental biology, pathology, and even physics.
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Grants
- U01 NS090475 NINDS NIH HHS
- This work was supported by the University Research Priority Program (URPP) “Adaptive Brain Circuits in Development and Learning (AdaBD)” of the University of Zurich (N.V., E.S. and F.H.). Additionally, F.F.V. is supported by an HFSP fellowship (LT00687), T.N. received funding from H2020 Marie Skłodowska-Curie Actions (xenCAKUT - 891127), A.R. and S.H. were supported by a Dutch Science Foundation VIDI Grant (14637), and A.R. was supported by an ERC Starting Grant (MULTICONNECT, 639938). Further funding support came from the Swiss National Science Foundation (SNF grant nos. 31003B-170269, 310030_192617 and CRSII5-18O316 to F.H., 310030_189102 to S.S.L., 200020_204950 to L.B., G.R.A, and V.A.); from an ERC Starting Grant by the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement no. 804474, DiRECT, S.S.L); and the US Brain Initiative (1U01NS090475-01, F.H.).
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Affiliation(s)
- Nikita Vladimirov
- Brain Research Institute, University of Zurich, Zurich, Switzerland.
- University Research Priority Program (URPP), Adaptive Brain Circuits in Development and Learning, University of Zurich, Zurich, Switzerland.
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland.
| | - Fabian F Voigt
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Thomas Naert
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | | | - Ruiyao Cai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, Germany
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Anna Maria Reuss
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Shan Zhao
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Patricia Schmid
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Sven Hildebrand
- Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Martina Schaettin
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Dominik Groos
- Brain Research Institute, University of Zurich, Zurich, Switzerland
| | - José María Mateos
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland
| | - Philipp Bethge
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
| | - Taiyo Yamamoto
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Valentino Aerne
- Department of Physics, University of Zurich, Zurich, Switzerland
| | - Alard Roebroeck
- Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, Germany
| | - Adriano Aguzzi
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Urs Ziegler
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland
| | - Esther Stoeckli
- University Research Priority Program (URPP), Adaptive Brain Circuits in Development and Learning, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Laura Baudis
- Department of Physics, University of Zurich, Zurich, Switzerland
| | - Soeren S Lienkamp
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Fritjof Helmchen
- Brain Research Institute, University of Zurich, Zurich, Switzerland.
- University Research Priority Program (URPP), Adaptive Brain Circuits in Development and Learning, University of Zurich, Zurich, Switzerland.
- Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland.
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24
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Mertens TF, Liebheit AT, Ehl J, Köhler R, Rakhymzhan A, Woehler A, Katthän L, Ebel G, Liublin W, Kasapi A, Triantafyllopoulou A, Schulz TJ, Niesner RA, Hauser AE. MarShie: a clearing protocol for 3D analysis of single cells throughout the bone marrow at subcellular resolution. Nat Commun 2024; 15:1764. [PMID: 38409121 PMCID: PMC10897183 DOI: 10.1038/s41467-024-45827-6] [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: 03/06/2023] [Accepted: 02/01/2024] [Indexed: 02/28/2024] Open
Abstract
Analyzing immune cell interactions in the bone marrow is vital for understanding hematopoiesis and bone homeostasis. Three-dimensional analysis of the complete, intact bone marrow within the cortex of whole long bones remains a challenge, especially at subcellular resolution. We present a method that stabilizes the marrow and provides subcellular resolution of fluorescent signals throughout the murine femur, enabling identification and spatial characterization of hematopoietic and stromal cell subsets. By combining a pre-processing algorithm for stripe artifact removal with a machine-learning approach, we demonstrate reliable cell segmentation down to the deepest bone marrow regions. This reveals age-related changes in the marrow. It highlights the interaction between CX3CR1+ cells and the vascular system in homeostasis, in contrast to other myeloid cell types, and reveals their spatial characteristics after injury. The broad applicability of this method will contribute to a better understanding of bone marrow biology.
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Affiliation(s)
- Till Fabian Mertens
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Alina Tabea Liebheit
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
- Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Johanna Ehl
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Ralf Köhler
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Asylkhan Rakhymzhan
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Andrew Woehler
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, 10115, Berlin, Germany
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, 20147, USA
| | - Lukas Katthän
- Miltenyi Biotec B.V. and Co. Bertha-von-Suttner-Straße 5, 37085, Göttingen, Germany
| | - Gernot Ebel
- Miltenyi Biotec B.V. and Co. Bertha-von-Suttner-Straße 5, 37085, Göttingen, Germany
| | - Wjatscheslaw Liublin
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Ana Kasapi
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Innate Immunity in Rheumatic Diseases, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Antigoni Triantafyllopoulou
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Innate Immunity in Rheumatic Diseases, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Tim Julius Schulz
- Department of Adipocyte Development and Nutrition, German Institute of Human Nutrition (DIfE) Potsdam-Rehbruecke, 14558, Nuthetal, Germany
- German Center for Diabetes Research (DZD), 85764, Munich-Neuherberg, Germany
| | - Raluca Aura Niesner
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
- Dynamic and Functional in vivo Imaging, Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Anja Erika Hauser
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany.
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany.
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25
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Ng MS, Kwok I, Tan L, Shi C, Cerezo-Wallis D, Tan Y, Leong K, Yang K, Zhang Y, Jing J, Liong KH, Wu D, He R, Liu D, Teh YC, Bleriot C, Caronni N, Liu Z, Duan K, Narang V, Li M, Chen J, Liu Y, Liu L, Qi J, Liu Y, Jiang L, Shen B, Cheng H, Cheng T, Angeli V, Sharma A, Loh YH, Tey HL, Chong SZ, Ostuni R, Hidalgo A, Ginhoux F, Ng LG. Deterministic reprogramming of neutrophils within tumors. Science 2024; 383:eadf6493. [PMID: 38207030 PMCID: PMC11087151 DOI: 10.1126/science.adf6493] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 11/27/2023] [Indexed: 01/13/2024]
Abstract
Neutrophils are increasingly recognized as key players in the tumor immune response and are associated with poor clinical outcomes. Despite recent advances characterizing the diversity of neutrophil states in cancer, common trajectories and mechanisms governing the ontogeny and relationship between these neutrophil states remain undefined. Here, we demonstrate that immature and mature neutrophils that enter tumors undergo irreversible epigenetic, transcriptional, and proteomic modifications to converge into a distinct, terminally differentiated dcTRAIL-R1+ state. Reprogrammed dcTRAIL-R1+ neutrophils predominantly localize to a glycolytic and hypoxic niche at the tumor core and exert pro-angiogenic function that favors tumor growth. We found similar trajectories in neutrophils across multiple tumor types and in humans, suggesting that targeting this program may provide a means of enhancing certain cancer immunotherapies.
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Affiliation(s)
- Melissa S.F. Ng
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Immanuel Kwok
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Leonard Tan
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Changming Shi
- Shanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital; Shanghai, China
| | - Daniela Cerezo-Wallis
- Area of Cell & Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III; Madrid, Spain
- Vascular Biology and Therapeutics Program and Department of Immunobiology, Yale University School of Medicine; New Haven, USA
| | - Yingrou Tan
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
- National Skin Centre, National Healthcare Group; Singapore
| | - Keith Leong
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Katharine Yang
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Yuning Zhang
- Department of Microbiology and Immunology, National University of Singapore (NUS); Singapore
| | - Jingsi Jing
- Shanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital; Shanghai, China
| | - Ka Hang Liong
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Dandan Wu
- Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine; Shanghai, China
| | - Rui He
- Shanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital; Shanghai, China
| | - Dehua Liu
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Ye Chean Teh
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Camille Bleriot
- INSERM U1015, Institut Gustave Roussy; Villejuif, France
- CNRS UMR8253, Institut Necker des Enfants Malades; Paris, France
| | - Nicoletta Caronni
- Genomics of the Innate Immune System Unit, San Raffaele-Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute; Milan, Italy
| | - Zhaoyuan Liu
- Genomics of the Innate Immune System Unit, San Raffaele-Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute; Milan, Italy
| | - Kaibo Duan
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Vipin Narang
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Mengwei Li
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Jinmiao Chen
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | | | - Lianxin Liu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China; Anhui, China
| | - Jingjing Qi
- Department of Biliary and Pancreatic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai, China
- Shanghai Institute of Cancer Biology, Renji Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai, China
| | - Yingbin Liu
- Department of Biliary and Pancreatic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai, China
- Shanghai Institute of Cancer Biology, Renji Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai, China
| | - Lingxi Jiang
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine; Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Key Laboratory of Translational Research for Pancreatic Neoplasms, Shanghai Jiaotong University School of Medicine; Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiaotong University; Shanghai, China
| | - Baiyong Shen
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine; Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Key Laboratory of Translational Research for Pancreatic Neoplasms, Shanghai Jiaotong University School of Medicine; Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiaotong University; Shanghai, China
| | - Hui Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College; Tianjin, China
| | - Tao Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College; Tianjin, China
| | - Veronique Angeli
- Department of Microbiology and Immunology, National University of Singapore (NUS); Singapore
| | - Ankur Sharma
- Harry Perkins Institute of Medical Research, QEII Medical Centre; Nedlands, Western Australia, Australia
- Curtin Medical School, Curtin University; Bentley, Western Australia, Australia
- Curtin Health Innovation Research Institute, Curtin University; Bentley, Western Australia, Australia
| | - Yuin-han Loh
- Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Hong Liang Tey
- National Skin Centre, National Healthcare Group; Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University; Singapore
- Yong Loo Lin School of Medicine, National University of Singapore; Singapore
| | - Shu Zhen Chong
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
- Department of Microbiology and Immunology, National University of Singapore (NUS); Singapore
| | - Renato Ostuni
- Genomics of the Innate Immune System Unit, San Raffaele-Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute; Milan, Italy
- Vita-Salute San Raffaele University, Milan; Italy
| | - Andrés Hidalgo
- Area of Cell & Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III; Madrid, Spain
- Vascular Biology and Therapeutics Program and Department of Immunobiology, Yale University School of Medicine; New Haven, USA
| | - Florent Ginhoux
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
- Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine; Shanghai, China
- INSERM U1015, Institut Gustave Roussy; Villejuif, France
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre; Singapore
| | - Lai Guan Ng
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
- Shanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital; Shanghai, China
- Department of Microbiology and Immunology, National University of Singapore (NUS); Singapore
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26
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Voigt FF, Reuss AM, Naert T, Hildebrand S, Schaettin M, Hotz AL, Whitehead L, Bahl A, Neuhauss SCF, Roebroeck A, Stoeckli ET, Lienkamp SS, Aguzzi A, Helmchen F. Reflective multi-immersion microscope objectives inspired by the Schmidt telescope. Nat Biotechnol 2024; 42:65-71. [PMID: 36997681 PMCID: PMC10791577 DOI: 10.1038/s41587-023-01717-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 02/20/2023] [Indexed: 04/03/2023]
Abstract
Imaging large, cleared samples requires microscope objectives that combine a large field of view (FOV) with a long working distance (WD) and a high numerical aperture (NA). Ideally, such objectives should be compatible with a wide range of immersion media, which is challenging to achieve with conventional lens-based objective designs. Here we introduce the multi-immersion 'Schmidt objective' consisting of a spherical mirror and an aspherical correction plate as a solution to this problem. We demonstrate that a multi-photon variant of the Schmidt objective is compatible with all homogeneous immersion media and achieves an NA of 1.08 at a refractive index of 1.56, 1.1-mm FOV and 11-mm WD. We highlight its versatility by imaging cleared samples in various media ranging from air and water to benzyl alcohol/benzyl benzoate, dibenzyl ether and ethyl cinnamate and by imaging of neuronal activity in larval zebrafish in vivo. In principle, the concept can be extended to any imaging modality, including wide-field, confocal and light-sheet microscopy.
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Affiliation(s)
- Fabian F Voigt
- Brain Research Institute, University of Zurich, Zurich, Switzerland.
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland.
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
| | - Anna Maria Reuss
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Thomas Naert
- Institute of Anatomy, University of Zurich, Zurich, Switzerland
| | - Sven Hildebrand
- Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Martina Schaettin
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Adriana L Hotz
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Lachlan Whitehead
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, Victoria, Australia
| | - Armin Bahl
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany
| | - Stephan C F Neuhauss
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Alard Roebroeck
- Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Esther T Stoeckli
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
- University Research Priority Program (URPP), Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zürich, Zurich, Switzerland
| | | | - Adriano Aguzzi
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Fritjof Helmchen
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- University Research Priority Program (URPP), Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zürich, Zurich, Switzerland
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27
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Imaging the biological microcosmos with a tiny telescope. Nat Biotechnol 2024; 42:36-37. [PMID: 37002344 DOI: 10.1038/s41587-023-01740-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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28
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Siret C, van de Pavert SA. Three-Dimensional Imaging of Macrophages in Complete Organs. Methods Mol Biol 2024; 2713:297-306. [PMID: 37639131 DOI: 10.1007/978-1-0716-3437-0_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
Abstract
The introduction of the light-sheet microscope has facilitated the analysis of complete tissues for the presence of all cells and their location in relation to their niche. This contributes to a better understanding of cellular locations and interactions in organs. In the last decade, many new and improved protocols have been published which are essential to improve staining and visualization of the immune-fluorescence within different tissues. In this article, we will discuss two main protocols we have used to visualize tissue-resident macrophages.
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Affiliation(s)
- Carole Siret
- Aix-Marseille Univ, CNRS, INSERM, Centre d'Immunologie de Marseille-Luminy (CIML), Marseille, France.
| | - Serge A van de Pavert
- Aix-Marseille Univ, CNRS, INSERM, Centre d'Immunologie de Marseille-Luminy (CIML), Marseille, France.
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29
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McKenzie AT, Nnadi O, Slagell KD, Thorn EL, Farrell K, Crary JF. Fluid preservation in brain banking: a review. FREE NEUROPATHOLOGY 2024; 5:5-10. [PMID: 38690035 PMCID: PMC11058410 DOI: 10.17879/freeneuropathology-2024-5373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 03/29/2024] [Indexed: 05/02/2024]
Abstract
Fluid preservation is nearly universally used in brain banking to store fixed tissue specimens for future research applications. However, the effects of long-term immersion on neural circuitry and biomolecules are not well characterized. As a result, there is a need to synthesize studies investigating fluid preservation of brain tissue. We searched PubMed and other databases to identify studies measuring the effects of fluid preservation in nervous system tissue. We categorized studies based on the fluid preservative used: formaldehyde solutions, buffer solutions, alcohol solutions, storage after tissue clearing, and cryoprotectant solutions. We identified 91 studies containing 197 independent observations of the effects of long-term storage on cellular morphology. Most studies did not report any significant alterations due to long-term storage. When present, the most frequent alteration was decreased antigenicity, commonly attributed to progressive crosslinking by aldehydes that renders biomolecules increasingly inaccessible over time. To build a mechanistic understanding, we discuss biochemical aspects of long-term fluid preservation. A subset of lipids appears to be chemical altered or extracted over time due to incomplete retention in the crosslinked gel. Alternative storage fluids mitigate the problem of antigen masking but have not been extensively characterized and may have other downsides. We also compare fluid preservation to cryopreservation, paraffin embedding, and resin embedding. Overall, existing evidence suggests that fluid preservation provides maintenance of neural architecture for decades, including precise structural details. However, to avoid the well-established problem of overfixation caused by storage in high concentration formaldehyde solutions, fluid preservation procedures can use an initial fixation step followed by an alternative long-term storage fluid. Further research is warranted on optimizing protocols and characterizing the generalizability of the storage artifacts that have been identified.
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Affiliation(s)
| | - Oge Nnadi
- Brain Preservation Foundation, Ashburn, Virginia, USA
| | - Kat D. Slagell
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Friedman Brain Institute, Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Neuropathology Brain Bank & Research Core and Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Emma L. Thorn
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Friedman Brain Institute, Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Neuropathology Brain Bank & Research Core and Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kurt Farrell
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Friedman Brain Institute, Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Neuropathology Brain Bank & Research Core and Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - John F. Crary
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Friedman Brain Institute, Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Neuropathology Brain Bank & Research Core and Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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30
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Vladimirov N, Voigt FF, Naert T, Araujo GR, Cai R, Reuss AM, Zhao S, Schmid P, Hildebrand S, Schaettin M, Groos D, Mateos JM, Bethge P, Yamamoto T, Aerne V, Roebroeck A, Ertürk A, Aguzzi A, Ziegler U, Stoeckli E, Baudis L, Lienkamp SS, Helmchen F. The Benchtop mesoSPIM: a next-generation open-source light-sheet microscope for large cleared samples. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.16.545256. [PMID: 38168219 PMCID: PMC10760166 DOI: 10.1101/2023.06.16.545256] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
In 2015, we launched the mesoSPIM initiative (www.mesospim.org), an open-source project for making light-sheet microscopy of large cleared tissues more accessible. Meanwhile, the demand for imaging larger samples at higher speed and resolution has increased, requiring major improvements in the capabilities of light-sheet microscopy. Here, we introduce the next-generation mesoSPIM ("Benchtop") with significantly increased field of view, improved resolution, higher throughput, more affordable cost and simpler assembly compared to the original version. We developed a new method for testing objectives, enabling us to select detection objectives optimal for light-sheet imaging with large-sensor sCMOS cameras. The new mesoSPIM achieves high spatial resolution (1.5 μm laterally, 3.3 μm axially) across the entire field of view, a magnification up to 20x, and supports sample sizes ranging from sub-mm up to several centimetres, while being compatible with multiple clearing techniques. The new microscope serves a broad range of applications in neuroscience, developmental biology, and even physics.
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Affiliation(s)
- Nikita Vladimirov
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland
| | - Fabian F. Voigt
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Present address: Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Thomas Naert
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | | | - Ruiyao Cai
- Present address: Department of Biology, Stanford University, Stanford, CA, USA
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, German
| | - Anna Maria Reuss
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Shan Zhao
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Patricia Schmid
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Sven Hildebrand
- Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Martina Schaettin
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Dominik Groos
- Brain Research Institute, University of Zurich, Zurich, Switzerland
| | - José María Mateos
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland
| | - Philipp Bethge
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
| | - Taiyo Yamamoto
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Valentino Aerne
- Department of Physics, University of Zurich, Zurich, Switzerland
| | - Alard Roebroeck
- Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, German
| | - Adriano Aguzzi
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland
| | - Urs Ziegler
- Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland
| | - Esther Stoeckli
- University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Laura Baudis
- Department of Physics, University of Zurich, Zurich, Switzerland
| | - Soeren S. Lienkamp
- Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland
| | - Fritjof Helmchen
- Brain Research Institute, University of Zurich, Zurich, Switzerland
- University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
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31
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Zhang Z, Wu Y, Xuan Z, Xu H, Yin S, Meng Z. Self-assembly of three-dimensional liver organoids: virtual reconstruction via endocytosed polymer dots for refactoring the fine structure. Biomater Sci 2023; 11:7867-7883. [PMID: 37902572 DOI: 10.1039/d3bm01174g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
In vitro culture of organoids holds considerable promise for the treatment of diseases or the provision of artificial organs. Traditional 2D differentiation from mesenchymal stem cells (MSCs) faces challenges in replicating the development of embryonic organs at the cellular level; conversely, the cultivation of 3D organoids exhibits potential for application. It is crucial for clinicians and technology researchers to acquire insights into organoid tissue differentiation, autonomous morphogenesis, as well as 3D assembly processes in vitro. In this investigation, novel 3D organoids capable of engendering complex liver-like tissues in vitro were cultured, and a class of high-luminance semiconductor polymer dots (Pdots) was employed to monitor the self-assembly process of 3D liver organoid tissues and cellular interaction and migration dynamics. Three-dimensional liver-bud (3D-LB) organoid tissues were derived through the interplay of induced MSCs, Wharton's Jelly, and human umbilical vein endothelial cells (HUVECs), and their structural characteristics were determined during the liver-bud organoid development; ultimately, the co-cultured organoid spatial cellular clusters resembling a truffle were successfully replicated. Utilizing R8-Pdots with remarkable resolution and biocompatibility, the structural elements of functional and vascularized organs derived from liver organoid tissues were adeptly reconstituted, and this investigation shall contribute to a further understanding of human hepato-developmental physiology and liver-disease modeling.
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Affiliation(s)
- Ze Zhang
- Department of Hepatobiliary-Pancreatic Surgery, China-Japan Union Hospital of Jilin University, Jilin University, No. 126 Xiantai Street, Changchun, Jilin 130000, P. R. China.
| | - Yuyang Wu
- State Key Laboratory of Integrated Optoelectronic, College of Electronic Science and Engineering, Jilin University, No. 2699 Qianjin Street, Changchun, Jilin 130012, P. R. China.
| | - Zhilu Xuan
- Department of Obstetrics & Gynecology, The First Hospital of Jilin University, Changchun, Jilin 130012, P. R. China
| | - Haotian Xu
- Department of Hepatobiliary-Pancreatic Surgery, China-Japan Union Hospital of Jilin University, Jilin University, No. 126 Xiantai Street, Changchun, Jilin 130000, P. R. China.
| | - Shengyan Yin
- State Key Laboratory of Integrated Optoelectronic, College of Electronic Science and Engineering, Jilin University, No. 2699 Qianjin Street, Changchun, Jilin 130012, P. R. China.
| | - Zihui Meng
- Department of Hepatobiliary-Pancreatic Surgery, China-Japan Union Hospital of Jilin University, Jilin University, No. 126 Xiantai Street, Changchun, Jilin 130000, P. R. China.
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Zheng J, Wu YC, Phillips EH, Wang X, Lee SSY. Increased multiplexity in optical tissue clearing-based 3D immunofluorescence microscopy of the tumor microenvironment by LED photobleaching. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.29.569277. [PMID: 38076864 PMCID: PMC10705380 DOI: 10.1101/2023.11.29.569277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
Optical tissue clearing and three-dimensional (3D) immunofluorescence (IF) microscopy have been transforming imaging of the complex tumor microenvironment (TME). However, current 3D IF microscopy has restricted multiplexity; only three or four cellular and non-cellular TME components can be localized in a cleared tumor tissue. Here we report a LED photobleaching method and its application for 3D multiplexed optical mapping of the TME. We built a high-power LED light irradiation device and temperature-controlled chamber for completely bleaching fluorescent signals throughout optically cleared tumor tissues without compromise of tissue and protein antigen integrity. With newly developed tissue mounting and selected region-tracking methods, we established a cyclic workflow involving IF staining, tissue clearing, 3D confocal microscopy, and LED photobleaching. By registering microscope channel images generated through three work cycles, we produced 8-plex image data from individual 400 μm-thick tumor macrosections that visualize various vascular, immune, and cancer cells in the same TME at tissue-wide and cellular levels in 3D. Our method was also validated for quantitative 3D spatial analysis of cellular remodeling in the TME after immunotherapy. These results demonstrate that our LED photobleaching system and its workflow offer a novel approach to increase the multiplexing power of 3D IF microscopy for studying tumor heterogeneity and response to therapy.
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Bakis I, Sun Y, Abd Elmagid L, Feng X, Garibyan M, Yip JK, Yu FZ, Chowdhary S, Fernandez GE, Cao J, McCain ML, Lien CL, Harrison MR. Methods for dynamic and whole volume imaging of the zebrafish heart. Dev Biol 2023; 504:75-85. [PMID: 37708968 PMCID: PMC10841891 DOI: 10.1016/j.ydbio.2023.09.002] [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: 04/27/2023] [Revised: 09/02/2023] [Accepted: 09/06/2023] [Indexed: 09/16/2023]
Abstract
Tissue development and regeneration are dynamic processes involving complex cell migration and cell-cell interactions. We have developed a protocol for complementary time-lapse and three-dimensional (3D) imaging of tissue for developmental and regeneration studies which we apply here to the zebrafish cardiac vasculature. 3D imaging of fixed specimens is used to first define the subject at high resolution then live imaging captures how it changes dynamically. Hearts from adult and juvenile zebrafish are extracted and cleaned in preparation for the different imaging modalities. For whole-mount 3D confocal imaging, single or multiple hearts with native fluorescence or immuno-labeling are prepared for stabilization or clearing, and then imaged. For live imaging, hearts are placed in a prefabricated fluidic device and set on a temperature-controlled microscope for culture and imaging over several days. This protocol allows complete visualization of morphogenic processes in a 3D context and provides the ability to follow cell behaviors to complement in vivo and fixed tissue studies. This culture and imaging protocol can be applied to different cell and tissue types. Here, we have used it to observe zebrafish coronary vasculature and the migration of coronary endothelial cells during heart regeneration.
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Affiliation(s)
- Isaac Bakis
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY, 10021, USA; Department of Cell and Developmental Biology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10021, USA
| | - Yuhan Sun
- Saban Research Institute and Heart Institute of Children's Hospital Los Angeles, Los Angeles, CA, 90027, USA
| | - Laila Abd Elmagid
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY, 10021, USA; Department of Cell and Developmental Biology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10021, USA
| | - Xidi Feng
- Saban Research Institute and Heart Institute of Children's Hospital Los Angeles, Los Angeles, CA, 90027, USA
| | - Mher Garibyan
- Laboratory for Living Systems Engineering, Alfred E. Mann Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90089, USA
| | - Joycelyn K Yip
- Laboratory for Living Systems Engineering, Alfred E. Mann Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90089, USA
| | - Fang Zhou Yu
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY, 10021, USA; Department of Emergency Medicine, Nuvance Health, Poughkeepsie, NY, 12601, USA
| | - Sayali Chowdhary
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY, 10021, USA; Department of Cell and Developmental Biology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10021, USA
| | - Gerardo Esteban Fernandez
- Saban Research Institute and Heart Institute of Children's Hospital Los Angeles, Los Angeles, CA, 90027, USA
| | - Jingli Cao
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY, 10021, USA; Department of Cell and Developmental Biology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10021, USA
| | - Megan L McCain
- Laboratory for Living Systems Engineering, Alfred E. Mann Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90089, USA; Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Ching-Ling Lien
- Saban Research Institute and Heart Institute of Children's Hospital Los Angeles, Los Angeles, CA, 90027, USA; Department of Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
| | - Michael Rm Harrison
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY, 10021, USA; Department of Cell and Developmental Biology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10021, USA.
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34
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Bartos LM, Kirchleitner SV, Kolabas ZI, Quach S, Beck A, Lorenz J, Blobner J, Mueller SA, Ulukaya S, Hoeher L, Horvath I, Wind-Mark K, Holzgreve A, Ruf VC, Gold L, Kunze LH, Kunte ST, Beumers P, Park HE, Antons M, Zatcepin A, Briel N, Hoermann L, Schaefer R, Messerer D, Bartenstein P, Riemenschneider MJ, Lindner S, Ziegler S, Herms J, Lichtenthaler SF, Ertürk A, Tonn JC, von Baumgarten L, Albert NL, Brendel M. Deciphering sources of PET signals in the tumor microenvironment of glioblastoma at cellular resolution. SCIENCE ADVANCES 2023; 9:eadi8986. [PMID: 37889970 PMCID: PMC10610915 DOI: 10.1126/sciadv.adi8986] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023]
Abstract
Various cellular sources hamper interpretation of positron emission tomography (PET) biomarkers in the tumor microenvironment (TME). We developed an approach of immunomagnetic cell sorting after in vivo radiotracer injection (scRadiotracing) with three-dimensional (3D) histology to dissect the cellular allocation of PET signals in the TME. In mice with implanted glioblastoma, translocator protein (TSPO) radiotracer uptake per tumor cell was higher compared to tumor-associated microglia/macrophages (TAMs), validated by protein levels. Translation of in vitro scRadiotracing to patients with glioma immediately after tumor resection confirmed higher single-cell TSPO tracer uptake of tumor cells compared to immune cells. Across species, cellular radiotracer uptake explained the heterogeneity of individual TSPO-PET signals. In consideration of cellular tracer uptake and cell type abundance, tumor cells were the main contributor to TSPO enrichment in glioblastoma; however, proteomics identified potential PET targets highly specific for TAMs. Combining cellular tracer uptake measures with 3D histology facilitates precise allocation of PET signals and serves to validate emerging novel TAM-specific radioligands.
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Affiliation(s)
- Laura M. Bartos
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | | | - Zeynep Ilgin Kolabas
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital of Munich, LMU Munich, Munich, Germany
- Graduate School of Systemic Neurosciences (GSN), Munich, Germany
| | - Stefanie Quach
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Alexander Beck
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Julia Lorenz
- Department of Neuropathology, Regensburg University Hospital, Regensburg, Germany
| | - Jens Blobner
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Stephan A. Mueller
- Neuroproteomics, School of Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
| | - Selin Ulukaya
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
- Faculty of Biology, Master of Science Program in Molecular and Cellular Biology, Ludwig-Maximilians-Universität München, Planegg, Germany
| | - Luciano Hoeher
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Izabela Horvath
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
- School of Computation, Information and Technology (CIT), TUM, Boltzmannstr. 3, 85748 Garching, Germany
| | - Karin Wind-Mark
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Viktoria C. Ruf
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Lukas Gold
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Lea H. Kunze
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Sebastian T. Kunte
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Philipp Beumers
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Ha Eun Park
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Melissa Antons
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Artem Zatcepin
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
| | - Nils Briel
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
| | - Leonie Hoermann
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Rebecca Schaefer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Denise Messerer
- Department of Cardiology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Simon Lindner
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Sibylle Ziegler
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Jochen Herms
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Stefan F. Lichtenthaler
- Neuroproteomics, School of Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital of Munich, LMU Munich, Munich, Germany
- Graduate School of Systemic Neurosciences (GSN), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Joerg C. Tonn
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Louisa von Baumgarten
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nathalie L. Albert
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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35
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Darche M, Borella Y, Verschueren A, Gantar I, Pagès S, Batti L, Paques M. Light sheet fluorescence microscopy of cleared human eyes. Commun Biol 2023; 6:1025. [PMID: 37816868 PMCID: PMC10564773 DOI: 10.1038/s42003-023-05401-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 09/29/2023] [Indexed: 10/12/2023] Open
Abstract
We provide here a procedure enabling light sheet fluorescence microscopy (LSFM) of entire human eyes after iDISCO + -based clearing (ClearEye) and immunolabeling. Demonstrated here in four eyes, post-processing of LSFM stacks enables three-dimensional (3D) navigation and customized display, including en face viewing of the fundus similarly to clinical imaging, with resolution of retinal capillaries. This method overcomes several limitations of traditional histology of the eyes. Tracing of spatially complex structures such as anterior ciliary vessels and Schlemm's canal was achieved. We conclude that LSFM of immunolabeled human eyes after iDISCO + -based clearing is a powerful tool for 3D histology of large human ocular samples, including entire eyes, which will be useful in both anatomopathology and in research.
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Affiliation(s)
- Marie Darche
- Paris Eye Imaging Group, 15-20 Hôpital National de la Vision, INSERM-DHOS Clinical Investigation Center, 1423, Paris, France
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
| | - Ysé Borella
- Paris Eye Imaging Group, 15-20 Hôpital National de la Vision, INSERM-DHOS Clinical Investigation Center, 1423, Paris, France
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
| | - Anna Verschueren
- Paris Eye Imaging Group, 15-20 Hôpital National de la Vision, INSERM-DHOS Clinical Investigation Center, 1423, Paris, France
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
| | - Ivana Gantar
- Wyss Center for Bio- and Neuroengineering, Geneva, Switzerland
| | - Stéphane Pagès
- Wyss Center for Bio- and Neuroengineering, Geneva, Switzerland
| | - Laura Batti
- Wyss Center for Bio- and Neuroengineering, Geneva, Switzerland
| | - Michel Paques
- Paris Eye Imaging Group, 15-20 Hôpital National de la Vision, INSERM-DHOS Clinical Investigation Center, 1423, Paris, France.
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France.
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36
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Brunet J, Cook AC, Walsh CL, Cranley J, Tafforeau P, Engel K, Berruyer C, O’Leary EB, Bellier A, Torii R, Werlein C, Jonigk DD, Ackermann M, Dollman K, Lee PD. Multidimensional Analysis of the Adult Human Heart in Health and Disease using Hierarchical Phase-Contrast Tomography (HiP-CT). BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.09.561474. [PMID: 37873359 PMCID: PMC10592740 DOI: 10.1101/2023.10.09.561474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Cardiovascular diseases (CVDs) are a leading cause of death worldwide. Current clinical imaging modalities provide resolution adequate for diagnosis but are unable to provide detail of structural changes in the heart, across length-scales, necessary for understanding underlying pathophysiology of disease. Hierarchical Phase-Contrast Tomography (HiP-CT), using new (4th) generation synchrotron sources, potentially overcomes this limitation, allowing micron resolution imaging of intact adult organs with unprecedented detail. In this proof of principle study (n=2), we show the utility of HiP-CT to image whole adult human hearts ex-vivo: one 'control' without known cardiac disease and one with multiple known cardiopulmonary pathologies. The resulting multiscale imaging was able to demonstrate exemplars of anatomy in each cardiac segment along with novel findings in the cardiac conduction system, from gross (20 um/voxel) to cellular scale (2.2 um/voxel), non-destructively, thereby bridging the gap between macroscopic and microscopic investigations. We propose that the technique represents a significant step in virtual autopsy methods for studying structural heart disease, facilitating research into abnormalities across scales and age-groups. It opens up possibilities for understanding and treating disease; and provides a cardiac 'blueprint' with potential for in-silico simulation, device design, virtual surgical training, and bioengineered heart in the future.
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Affiliation(s)
- J. Brunet
- Department of Mechanical Engineering, University College London, London, UK
- European Synchrotron Radiation Facility, Grenoble, France
| | - A. C. Cook
- UCL Institute of Cardiovascular Science, London, UK
| | - C. L. Walsh
- Department of Mechanical Engineering, University College London, London, UK
| | - J. Cranley
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - P. Tafforeau
- European Synchrotron Radiation Facility, Grenoble, France
| | - K. Engel
- Siemens Healthineers, Erlangen, Germany
| | - C. Berruyer
- Department of Mechanical Engineering, University College London, London, UK
- European Synchrotron Radiation Facility, Grenoble, France
| | - E. Burke O’Leary
- Department of Mechanical Engineering, University College London, London, UK
| | - A. Bellier
- Laboratoire d’Anatomie des Alpes Françaises (LADAF), Université Grenoble Alpes, Grenoble, F
| | - R. Torii
- Department of Mechanical Engineering, University College London, London, UK
| | - C. Werlein
- Institute of Pathology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-stage and Obstructive Lung Disease Hannover (BREATH), German Lung Research Centre (DZL), Hannover, Germany
| | - D. D. Jonigk
- Biomedical Research in End-stage and Obstructive Lung Disease Hannover (BREATH), German Lung Research Centre (DZL), Hannover, Germany
- Institute of Pathology, Aachen Medical University, RWTH Aachen, Germany
| | - M. Ackermann
- Institute of Pathology and Molecular Pathology, Helios University Clinic Wuppertal, University of Witten/Herdecke, Wuppertal, Germany
- Institute of Functional and Clinical Anatomy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - K. Dollman
- European Synchrotron Radiation Facility, Grenoble, France
| | - P. D. Lee
- Department of Mechanical Engineering, University College London, London, UK
- Research Complex at Harwell, Didcot, UK
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37
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Kolabas ZI, Kuemmerle LB, Perneczky R, Förstera B, Ulukaya S, Ali M, Kapoor S, Bartos LM, Büttner M, Caliskan OS, Rong Z, Mai H, Höher L, Jeridi D, Molbay M, Khalin I, Deligiannis IK, Negwer M, Roberts K, Simats A, Carofiglio O, Todorov MI, Horvath I, Ozturk F, Hummel S, Biechele G, Zatcepin A, Unterrainer M, Gnörich J, Roodselaar J, Shrouder J, Khosravani P, Tast B, Richter L, Díaz-Marugán L, Kaltenecker D, Lux L, Chen Y, Zhao S, Rauchmann BS, Sterr M, Kunze I, Stanic K, Kan VWY, Besson-Girard S, Katzdobler S, Palleis C, Schädler J, Paetzold JC, Liebscher S, Hauser AE, Gokce O, Lickert H, Steinke H, Benakis C, Braun C, Martinez-Jimenez CP, Buerger K, Albert NL, Höglinger G, Levin J, Haass C, Kopczak A, Dichgans M, Havla J, Kümpfel T, Kerschensteiner M, Schifferer M, Simons M, Liesz A, Krahmer N, Bayraktar OA, Franzmeier N, Plesnila N, Erener S, Puelles VG, Delbridge C, Bhatia HS, Hellal F, Elsner M, Bechmann I, Ondruschka B, Brendel M, Theis FJ, Erturk A. Distinct molecular profiles of skull bone marrow in health and neurological disorders. Cell 2023; 186:3706-3725.e29. [PMID: 37562402 PMCID: PMC10443631 DOI: 10.1016/j.cell.2023.07.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 04/24/2023] [Accepted: 07/07/2023] [Indexed: 08/12/2023]
Abstract
The bone marrow in the skull is important for shaping immune responses in the brain and meninges, but its molecular makeup among bones and relevance in human diseases remain unclear. Here, we show that the mouse skull has the most distinct transcriptomic profile compared with other bones in states of health and injury, characterized by a late-stage neutrophil phenotype. In humans, proteome analysis reveals that the skull marrow is the most distinct, with differentially expressed neutrophil-related pathways and a unique synaptic protein signature. 3D imaging demonstrates the structural and cellular details of human skull-meninges connections (SMCs) compared with veins. Last, using translocator protein positron emission tomography (TSPO-PET) imaging, we show that the skull bone marrow reflects inflammatory brain responses with a disease-specific spatial distribution in patients with various neurological disorders. The unique molecular profile and anatomical and functional connections of the skull show its potential as a site for diagnosing, monitoring, and treating brain diseases.
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Affiliation(s)
- Zeynep Ilgin Kolabas
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Munich, Germany
| | - Louis B Kuemmerle
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Robert Perneczky
- Division of Mental Health in Older Adults and Alzheimer Therapy and Research Center, Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University Munich, 80336 Munich, Germany; German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Benjamin Förstera
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Selin Ulukaya
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Mayar Ali
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Munich, Germany; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Saketh Kapoor
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Laura M Bartos
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Maren Büttner
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Ozum Sehnaz Caliskan
- Institute for Diabetes and Obesity, Helmholtz Center Munich and German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Zhouyi Rong
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Munich Medical Research School (MMRS), 80336 Munich, Germany
| | - Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Munich Medical Research School (MMRS), 80336 Munich, Germany
| | - Luciano Höher
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Denise Jeridi
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Muge Molbay
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Igor Khalin
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | | | - Moritz Negwer
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | | | - Alba Simats
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Olga Carofiglio
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Mihail I Todorov
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Izabela Horvath
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; School of Computation, Information and Technology (CIT), TUM, Boltzmannstr. 3, 85748 Garching, Germany
| | - Furkan Ozturk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Selina Hummel
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Gloria Biechele
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Artem Zatcepin
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany; Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Johannes Gnörich
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Jay Roodselaar
- Charité - Universitätsmedizin Berlin, Department of Rheumatology and Clinical Immunology, Berlin, Germany; Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Joshua Shrouder
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Pardis Khosravani
- Biomedical Center (BMC), Core Facility Flow Cytometry, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Benjamin Tast
- Biomedical Center (BMC), Core Facility Flow Cytometry, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Lisa Richter
- Biomedical Center (BMC), Core Facility Flow Cytometry, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Laura Díaz-Marugán
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Doris Kaltenecker
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Diabetes and Cancer, Helmholtz Munich, Munich, Germany
| | - Laurin Lux
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Ying Chen
- Institute for Stroke and Dementia Research, LMU University Hospital, 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, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Division of Mental Health in Older Adults and Alzheimer Therapy and Research Center, Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University Munich, 80336 Munich, Germany; Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK; Institute of Neuroradiology, University Hospital LMU, Munich, Germany
| | - Michael Sterr
- Institute of Diabetes and Regeneration Research, Helmholtz Diabetes Center, Helmholtz Zentrum München, Neuherberg, Germany; Institute of Stem Cell Research, Helmholtz Zentrum München, Neuherberg, Germany
| | - Ines Kunze
- Institute of Diabetes and Regeneration Research, Helmholtz Diabetes Center, Helmholtz Zentrum München, Neuherberg, Germany; Institute of Stem Cell Research, Helmholtz Zentrum München, Neuherberg, Germany
| | - Karen Stanic
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Vanessa W Y Kan
- Institute of Clinical Neuroimmunology, University Hospital Munich, Ludwig-Maximilians University Munich, Munich, Germany
| | - Simon Besson-Girard
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Munich, Germany
| | - Sabrina Katzdobler
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Carla Palleis
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Julia Schädler
- Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Johannes C Paetzold
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Department of Computing, Imperial College London, London, UK
| | - Sabine Liebscher
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Institute of Clinical Neuroimmunology, University Hospital Munich, Ludwig-Maximilians University Munich, Munich, Germany; Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians Universität Munich, Munich, Germany
| | - Anja E Hauser
- Charité - Universitätsmedizin Berlin, Department of Rheumatology and Clinical Immunology, Berlin, Germany; Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Ozgun Gokce
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Heiko Lickert
- Institute of Diabetes and Regeneration Research, Helmholtz Diabetes Center, Helmholtz Zentrum München, Neuherberg, Germany; Institute of Stem Cell Research, Helmholtz Zentrum München, Neuherberg, Germany; TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Hanno Steinke
- Institute of Anatomy, University of Leipzig, 04109 Leipzig, Germany
| | - Corinne Benakis
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Christian Braun
- Institute of Legal Medicine, Faculty of Medicine, LMU Munich, Germany
| | - Celia P Martinez-Jimenez
- Helmholtz Pioneer Campus (HPC), Helmholtz Munich, Neuherberg, Germany; TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Katharina Buerger
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Günter Höglinger
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Christian Haass
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Anna Kopczak
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Joachim Havla
- Institute of Clinical Neuroimmunology, University Hospital Munich, Ludwig-Maximilians University Munich, Munich, Germany; Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians Universität Munich, Munich, Germany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, University Hospital Munich, Ludwig-Maximilians University Munich, Munich, Germany; Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians Universität Munich, Munich, Germany
| | - Martin Kerschensteiner
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Institute of Clinical Neuroimmunology, University Hospital Munich, Ludwig-Maximilians University Munich, Munich, Germany; Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians Universität Munich, Munich, Germany
| | - Martina Schifferer
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mikael Simons
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Arthur Liesz
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Natalie Krahmer
- Institute for Diabetes and Obesity, Helmholtz Center Munich and German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | | | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Nikolaus Plesnila
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Suheda Erener
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Victor G Puelles
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Pathology, Aarhus University Hospital, Aarhus, Denmark
| | - Claire Delbridge
- Institute of Pathology, Department of Neuropathology, Technical University Munich, TUM School of Medicine, Munich, Germany
| | - Harsharan Singh Bhatia
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Farida Hellal
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Markus Elsner
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Ingo Bechmann
- Institute of Anatomy, University of Leipzig, 04109 Leipzig, Germany
| | - Benjamin Ondruschka
- Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Brendel
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Department of Mathematics, Technische Universität München, Garching bei München, Germany
| | - Ali Erturk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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38
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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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39
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Schregel K, Heinz L, Hunger J, Pan C, Bode J, Fischer M, Sturm V, Venkataramani V, Karimian-Jazi K, Agardy DA, Streibel Y, Zerelles R, Wick W, Heiland S, Bunse T, Tews B, Platten M, Winkler F, Bendszus M, Breckwoldt MO. A Cellular Ground Truth to Develop MRI Signatures in Glioma Models by Correlative Light Sheet Microscopy and Atlas-Based Coregistration. J Neurosci 2023; 43:5574-5587. [PMID: 37429718 PMCID: PMC10376935 DOI: 10.1523/jneurosci.1470-22.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 05/21/2023] [Accepted: 06/25/2023] [Indexed: 07/12/2023] Open
Abstract
Glioblastoma is the most common malignant primary brain tumor with poor overall survival. Magnetic resonance imaging (MRI) is the main imaging modality for glioblastoma but has inherent shortcomings. The molecular and cellular basis of MR signals is incompletely understood. We established a ground truth-based image analysis platform to coregister MRI and light sheet microscopy (LSM) data to each other and to an anatomic reference atlas for quantification of 20 predefined anatomic subregions. Our pipeline also includes a segmentation and quantification approach for single myeloid cells in entire LSM datasets. This method was applied to three preclinical glioma models in male and female mice (GL261, U87MG, and S24), which exhibit different key features of the human glioma. Multiparametric MR data including T2-weighted sequences, diffusion tensor imaging, T2 and T2* relaxometry were acquired. Following tissue clearing, LSM focused on the analysis of tumor cell density, microvasculature, and innate immune cell infiltration. Correlated analysis revealed differences in quantitative MRI metrics between the tumor-bearing and the contralateral hemisphere. LSM identified tumor subregions that differed in their MRI characteristics, indicating tumor heterogeneity. Interestingly, MRI signatures, defined as unique combinations of different MRI parameters, differed greatly between the models. The direct correlation of MRI and LSM allows an in-depth characterization of preclinical glioma and can be used to decipher the structural, cellular, and, likely, molecular basis of tumoral MRI biomarkers. Our approach may be applied in other preclinical brain tumor or neurologic disease models, and the derived MRI signatures could ultimately inform image interpretation in a clinical setting.SIGNIFICANCE STATEMENT We established a histologic ground truth-based approach for MR image analyses and tested this method in three preclinical glioma models exhibiting different features of glioblastoma. Coregistration of light sheet microscopy to MRI allowed for an evaluation of quantitative MRI data in histologically distinct tumor subregions. Coregistration to a mouse brain atlas enabled a regional comparison of MRI parameters with a histologically informed interpretation of the results. Our approach is transferable to other preclinical models of brain tumors and further neurologic disorders. The method can be used to decipher the structural, cellular, and molecular basis of MRI signal characteristics. Ultimately, information derived from such analyses could strengthen the neuroradiological evaluation of glioblastoma as they enhance the interpretation of MRI data.
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Affiliation(s)
- Katharina Schregel
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Lennart Heinz
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Jessica Hunger
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Chenchen Pan
- Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Neurology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Julia Bode
- Molecular Mechanisms of Tumor Invasion, Schaller Research Group at the University of Heidelberg and the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Manuel Fischer
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Volker Sturm
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Varun Venkataramani
- Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Neurology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Department of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg University, 69120 Heidelberg, Germany
| | - Kianush Karimian-Jazi
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Dennis A Agardy
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, Mannheim Center for Translational Neurosciences, Heidelberg University, 68167 Mannheim, Germany
| | - Yannik Streibel
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Roland Zerelles
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Wolfgang Wick
- Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Neurology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Sabine Heiland
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Theresa Bunse
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, Mannheim Center for Translational Neurosciences, Heidelberg University, 68167 Mannheim, Germany
| | - Björn Tews
- Molecular Mechanisms of Tumor Invasion, Schaller Research Group at the University of Heidelberg and the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Michael Platten
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, Mannheim Center for Translational Neurosciences, Heidelberg University, 68167 Mannheim, Germany
| | - Frank Winkler
- Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Neurology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Michael O Breckwoldt
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
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40
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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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41
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Ma XH, Feng WY, Xiao K, Zhong Z, Fei P, Zhao Y, Sun XF. Detection of Choroidal Neovascularization Using Optical Tissue Transparency. Transl Vis Sci Technol 2023; 12:10. [PMID: 37318439 PMCID: PMC10278551 DOI: 10.1167/tvst.12.6.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 05/10/2023] [Indexed: 06/16/2023] Open
Abstract
Purpose Optical tissue transparency (OTT) provides a tool for visualizing the entire tissue block. This study provides insights into the potential value of OTT with light-sheet fluorescence microscopy (LSFM) in detecting choroidal neovascularization (CNV) lesions. Methods OTT with LSFM, hematoxylin and eosin (H&E) staining of paraffin sections, choroidal flatmount immunofluorescence, and optical coherence tomography angiography (OCTA) were used to obtain images of CNV. We determined the rate of change as (Data of week 1 - Data of week 2)/Data of week 1 × 100%. Finally, we compared the rate of change acquired from OTT with LSFM and the other methodologies. Results We found that OTT with LSFM can realize three-dimensional (3D) visualizations of the entire CNV. The results showed that the decline in the rate of change from week 1 to week 2 after laser photocoagulation was 33.05% with OTT, 53.01% with H&E staining, 48.11% with choroidal flatmount, 24.06% with OCTA (B-scan), 18.08% with OCTA (en face), 10.98% with OCTA (3D reconstruction), and 7.74% with OCTA (vessel diameter index). Conclusions OTT with LSFM will continue to be an invaluable resource for investigators to detect more visualized and quantified information regarding CNV. Translational Relevance OTT with LSFM now serves as a tool for detecting CNV in mice, and it may undergo human clinical trials in the future.
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Affiliation(s)
- Xiao-Hong Ma
- Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Wen-Yang Feng
- School of Optical and Electronic Information–Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Ke Xiao
- Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Zheng Zhong
- Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Peng Fei
- School of Optical and Electronic Information–Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Yin Zhao
- Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Xu-Fang Sun
- Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
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42
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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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43
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Almagro J, Messal HA. Volume imaging to interrogate cancer cell-tumor microenvironment interactions in space and time. Front Immunol 2023; 14:1176594. [PMID: 37261345 PMCID: PMC10228654 DOI: 10.3389/fimmu.2023.1176594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/26/2023] [Indexed: 06/02/2023] Open
Abstract
Volume imaging visualizes the three-dimensional (3D) complexity of tumors to unravel the dynamic crosstalk between cancer cells and the heterogeneous landscape of the tumor microenvironment (TME). Tissue clearing and intravital microscopy (IVM) constitute rapidly progressing technologies to study the architectural context of such interactions. Tissue clearing enables high-resolution imaging of large samples, allowing for the characterization of entire tumors and even organs and organisms with tumors. With IVM, the dynamic engagement between cancer cells and the TME can be visualized in 3D over time, allowing for acquisition of 4D data. Together, tissue clearing and IVM have been critical in the examination of cancer-TME interactions and have drastically advanced our knowledge in fundamental cancer research and clinical oncology. This review provides an overview of the current technical repertoire of fluorescence volume imaging technologies to study cancer and the TME, and discusses how their recent applications have been utilized to advance our fundamental understanding of tumor architecture, stromal and immune infiltration, vascularization and innervation, and to explore avenues for immunotherapy and optimized chemotherapy delivery.
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Affiliation(s)
- Jorge Almagro
- Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, United States
| | - Hendrik A. Messal
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan, Amsterdam, Netherlands
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44
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Brunet J, Walsh CL, Wagner WL, Bellier A, Werlein C, Marussi S, Jonigk DD, Verleden SE, Ackermann M, Lee PD, Tafforeau P. Preparation of large biological samples for high-resolution, hierarchical, synchrotron phase-contrast tomography with multimodal imaging compatibility. Nat Protoc 2023; 18:1441-1461. [PMID: 36859614 DOI: 10.1038/s41596-023-00804-z] [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: 06/21/2022] [Accepted: 12/12/2022] [Indexed: 03/03/2023]
Abstract
Imaging across different scales is essential for understanding healthy organ morphology and pathophysiological changes. The macro- and microscale three-dimensional morphology of large samples, including intact human organs, is possible with X-ray microtomography (using laboratory or synchrotron sources). Preparation of large samples for high-resolution imaging, however, is challenging due to limitations such as sample shrinkage, insufficient contrast, movement of the sample and bubble formation during mounting or scanning. Here, we describe the preparation, stabilization, dehydration and mounting of large soft-tissue samples for X-ray microtomography. We detail the protocol applied to whole human organs and hierarchical phase-contrast tomography at the European Synchrotron Radiation Facility, yet it is applicable to a range of biological samples, including complete organisms. The protocol enhances the contrast when using X-ray imaging, while preventing sample motion during the scan, even with different sample orientations. Bubbles trapped during mounting and those formed during scanning (in the case of synchrotron X-ray imaging) are mitigated by multiple degassing steps. The sample preparation is also compatible with magnetic resonance imaging, computed tomography and histological observation. The sample preparation and mounting require 24-36 d for a large organ such as a whole human brain or heart. The preparation time varies depending on the composition, size and fragility of the tissue. Use of the protocol enables scanning of intact organs with a diameter of 150 mm with a local voxel size of 1 μm. The protocol requires users with expertise in handling human or animal organs, laboratory operation and X-ray imaging.
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Affiliation(s)
- J Brunet
- Department of Mechanical Engineering, University College London, London, UK.
- European Synchrotron Radiation Facility, Grenoble, France.
| | - C L Walsh
- Department of Mechanical Engineering, University College London, London, UK.
| | - W L Wagner
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Centre Heidelberg (TLRC), German Lung Research Centre (DZL), Heidelberg, Germany
| | - A Bellier
- Laboratoire d'Anatomie des Alpes Françaises (LADAF), Université Grenoble Alpes, Grenoble, France
| | - C Werlein
- Institute of Pathology, Hannover Medical School, Hannover, Germany
| | - S Marussi
- Department of Mechanical Engineering, University College London, London, UK
| | - D D Jonigk
- Institute of Pathology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-stage and Obstructive Lung Disease Hannover (BREATH), German Lung Research Centre (DZL), Hannover, Germany
| | - S E Verleden
- Antwerp Surgical Training, Anatomy and Research Centre (ASTARC), University of Antwerp, Antwerp, Belgium
| | - M Ackermann
- Institute of Pathology and Molecular Pathology, Helios University Clinic Wuppertal, University of Witten/Herdecke, Wuppertal, Germany
- Institute of Functional and Clinical Anatomy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Peter D Lee
- Department of Mechanical Engineering, University College London, London, UK.
- Research Complex at Harwell, Didcot, UK.
| | - Paul Tafforeau
- European Synchrotron Radiation Facility, Grenoble, France.
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45
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Cai Y, Zhang X, Li C, Ghashghaei HT, Greenbaum A. COMBINe enables automated detection and classification of neurons and astrocytes in tissue-cleared mouse brains. CELL REPORTS METHODS 2023; 3:100454. [PMID: 37159668 PMCID: PMC10163164 DOI: 10.1016/j.crmeth.2023.100454] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 02/28/2023] [Accepted: 03/23/2023] [Indexed: 05/11/2023]
Abstract
Tissue clearing renders entire organs transparent to accelerate whole-tissue imaging; for example, with light-sheet fluorescence microscopy. Yet, challenges remain in analyzing the large resulting 3D datasets that consist of terabytes of images and information on millions of labeled cells. Previous work has established pipelines for automated analysis of tissue-cleared mouse brains, but the focus there was on single-color channels and/or detection of nuclear localized signals in relatively low-resolution images. Here, we present an automated workflow (COMBINe, Cell detectiOn in Mouse BraIN) to map sparsely labeled neurons and astrocytes in genetically distinct mouse forebrains using mosaic analysis with double markers (MADM). COMBINe blends modules from multiple pipelines with RetinaNet at its core. We quantitatively analyzed the regional and subregional effects of MADM-based deletion of the epidermal growth factor receptor (EGFR) on neuronal and astrocyte populations in the mouse forebrain.
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Affiliation(s)
- Yuheng Cai
- Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC, USA
- Comparative Medicine Institute, North Carolina State University, Raleigh, NC, USA
| | - Xuying Zhang
- Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC, USA
| | - Chen Li
- Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC, USA
- Comparative Medicine Institute, North Carolina State University, Raleigh, NC, USA
| | - H. Troy Ghashghaei
- Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC, USA
| | - Alon Greenbaum
- Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC, USA
- Comparative Medicine Institute, North Carolina State University, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
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46
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Torok J, Anand C, Verma P, Raj A. Connectome-based biophysics models of Alzheimer's disease diagnosis and prognosis. Transl Res 2023; 254:13-23. [PMID: 36031051 PMCID: PMC11019890 DOI: 10.1016/j.trsl.2022.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 08/08/2022] [Indexed: 11/22/2022]
Abstract
With the increasing prevalence of Alzheimer's disease (AD) among aging populations and the limited therapeutic options available to slow or reverse its progression, the need has never been greater for improved diagnostic tools for identifying patients in the preclinical and prodomal phases of AD. Biophysics models of the connectome-based spread of amyloid-beta (Aβ) and microtubule-associated protein tau (τ) have enjoyed recent success as tools for predicting the time course of AD-related pathological changes. However, given the complex etiology of AD, which involves not only connectome-based spread of protein pathology but also the interactions of many molecular and cellular players over multiple spatiotemporal scales, more robust, complete biophysics models are needed to better understand AD pathophysiology and ultimately provide accurate patient-specific diagnoses and prognoses. Here we discuss several areas of active research in AD whose insights can be used to enhance the mathematical modeling of AD pathology as well as recent attempts at developing improved connectome-based biophysics models. These efforts toward a comprehensive yet parsimonious mathematical description of AD hold great promise for improving both the diagnosis of patients at risk for AD and our mechanistic understanding of how AD progresses.
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Affiliation(s)
- Justin Torok
- Department of Radiology, University of California, San Francisco, San Francisco, California.
| | - Chaitali Anand
- Department of Radiology, University of California, San Francisco, San Francisco, California
| | - Parul Verma
- Department of Radiology, University of California, San Francisco, San Francisco, California
| | - Ashish Raj
- Department of Radiology, University of California, San Francisco, San Francisco, California; Department of Bioengineering, University of California, Berkeley and University of California, San Francisco, Berkeley, California; Department of Radiology, Weill Cornell Medicine, New York, New York.
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47
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Preliminary In Vitro Assessment of Decellularized Porcine Descending Aorta for Clinical Purposes. J Funct Biomater 2023; 14:jfb14030141. [PMID: 36976065 PMCID: PMC10058365 DOI: 10.3390/jfb14030141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Conduit substitutes are increasingly in demand for cardiovascular and urological applications. In cases of bladder cancer, radical cystectomy is the preferred technique: after removing the bladder, a urinary diversion has to be created using autologous bowel, but several complications are associated with intestinal resection. Thus, alternative urinary substitutes are required to avoid autologous intestinal use, preventing complications and facilitating surgical procedures. In the present paper, we are proposing the exploitation of the decellularized porcine descending aorta as a novel and original conduit substitute. After being decellularized with the use of two alternative detergents (Tergitol and Ecosurf) and sterilized, the porcine descending aorta has been investigated to assess its permeability to detergents through methylene blue dye penetration analysis and to study its composition and structure by means of histomorphometric analyses, including DNA quantification, histology, two-photon microscopy, and hydroxyproline quantification. Biomechanical tests and cytocompatibility assays with human mesenchymal stem cells have been also performed. The results obtained demonstrated that the decellularized porcine descending aorta preserves its major features to be further evaluated as a candidate material for urological applications, even though further studies have to be carried out to demonstrate its suitability for the specific application, by performing in vivo tests in the animal model.
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48
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Efficient 3D light-sheet imaging of very large-scale optically cleared human brain and prostate tissue samples. Commun Biol 2023; 6:170. [PMID: 36781939 PMCID: PMC9925784 DOI: 10.1038/s42003-023-04536-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 01/26/2023] [Indexed: 02/15/2023] Open
Abstract
The ability to image human tissue samples in 3D, with both cellular resolution and a large field of view (FOV), can improve fundamental and clinical investigations. Here, we demonstrate the feasibility of light-sheet imaging of ~5 cm3 sized formalin fixed human brain and up to ~7 cm3 sized formalin fixed paraffin embedded (FFPE) prostate cancer samples, processed with the FFPE-MASH protocol. We present a light-sheet microscopy prototype, the cleared-tissue dual view Selective Plane Illumination Microscope (ct-dSPIM), capable of fast 3D high-resolution acquisitions of cm3 scale cleared tissue. We used mosaic scans for fast 3D overviews of entire tissue samples or higher resolution overviews of large ROIs with various speeds: (a) Mosaic 16 (16.4 µm isotropic resolution, ~1.7 h/cm3), (b) Mosaic 4 (4.1 µm isotropic resolution, ~ 5 h/cm3) and (c) Mosaic 0.5 (0.5 µm near isotropic resolution, ~15.8 h/cm3). We could visualise cortical layers and neurons around the border of human brain areas V1&V2, and could demonstrate suitable imaging quality for Gleason score grading in thick prostate cancer samples. We show that ct-dSPIM imaging is an excellent technique to quantitatively assess entire MASH prepared large-scale human tissue samples in 3D, with considerable future clinical potential.
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49
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Mothes R, Pascual-Reguant A, Koehler R, Liebeskind J, Liebheit A, Bauherr S, Philipsen L, Dittmayer C, Laue M, von Manitius R, Elezkurtaj S, Durek P, Heinrich F, Heinz GA, Guerra GM, Obermayer B, Meinhardt J, Ihlow J, Radke J, Heppner FL, Enghard P, Stockmann H, Aschman T, Schneider J, Corman VM, Sander LE, Mashreghi MF, Conrad T, Hocke AC, Niesner RA, Radbruch H, Hauser AE. Distinct tissue niches direct lung immunopathology via CCL18 and CCL21 in severe COVID-19. Nat Commun 2023; 14:791. [PMID: 36774347 PMCID: PMC9922044 DOI: 10.1038/s41467-023-36333-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 01/23/2023] [Indexed: 02/13/2023] Open
Abstract
Prolonged lung pathology has been associated with COVID-19, yet the cellular and molecular mechanisms behind this chronic inflammatory disease are poorly understood. In this study, we combine advanced imaging and spatial transcriptomics to shed light on the local immune response in severe COVID-19. We show that activated adventitial niches are crucial microenvironments contributing to the orchestration of prolonged lung immunopathology. Up-regulation of the chemokines CCL21 and CCL18 associates to endothelial-to-mesenchymal transition and tissue fibrosis within these niches. CCL21 over-expression additionally links to the local accumulation of T cells expressing the cognate receptor CCR7. These T cells are imprinted with an exhausted phenotype and form lymphoid aggregates that can organize in ectopic lymphoid structures. Our work proposes immune-stromal interaction mechanisms promoting a self-sustained and non-resolving local immune response that extends beyond active viral infection and perpetuates tissue remodeling.
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Affiliation(s)
- Ronja Mothes
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany.,Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Anna Pascual-Reguant
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany.,Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Ralf Koehler
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Juliane Liebeskind
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany.,Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Alina Liebheit
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany.,Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Sandy Bauherr
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Lars Philipsen
- Institute of Molecular and Clinical Immunology, Medical Center, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.,Multi-Parametric Bioimaging and Cytometry (MPBIC) platform, Medical Faculty, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Carsten Dittmayer
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Michael Laue
- Centre for Biological Threats and Special Pathogens (ZBS), Robert Koch Institute, Berlin, Germany
| | - Regina von Manitius
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Sefer Elezkurtaj
- Institute of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Pawel Durek
- Therapeutic Gene Regulation, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Frederik Heinrich
- Therapeutic Gene Regulation, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Gitta A Heinz
- Therapeutic Gene Regulation, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Gabriela M Guerra
- Therapeutic Gene Regulation, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Benedikt Obermayer
- Core Unit Bioinformatics (CUBI), Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jenny Meinhardt
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Jana Ihlow
- Institute of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Josefine Radke
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany.,German Cancer Consortium (DKTK), Partner Site Berlin, CCCC (Campus Mitte), Berlin, Germany.,Institut für Pathologie, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Frank L Heppner
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany.,Cluster of Excellence, NeuroCure, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE) Berlin, Berlin, Germany
| | - Philipp Enghard
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 12203, Berlin, Germany
| | - Helena Stockmann
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 12203, Berlin, Germany
| | - Tom Aschman
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Julia Schneider
- Institute of Virology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin and German Centre for Infection Research, Berlin, Germany
| | - Victor M Corman
- Institute of Virology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin and German Centre for Infection Research, Berlin, Germany
| | - Leif E Sander
- Berlin Institute of Health (BIH), Berlin, Germany.,Department of Infectious Diseases, Respiratory Medicine and Critical Care, Charité-Universitätsmedizin Berlin and German Center for Lung Research (DZL), Berlin, Germany
| | - Mir-Farzin Mashreghi
- Therapeutic Gene Regulation, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Thomas Conrad
- Genomics Technology Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Andreas C Hocke
- Department of Infectious Diseases, Respiratory Medicine and Critical Care, Charité-Universitätsmedizin Berlin and German Center for Lung Research (DZL), Berlin, Germany
| | - Raluca A Niesner
- Dynamic and Functional in vivo Imaging, Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.,Biophysical Analysis, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Helena Radbruch
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Anja E Hauser
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany. .,Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany.
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50
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Kiemen AL, Damanakis AI, Braxton AM, He J, Laheru D, Fishman EK, Chames P, Pérez CA, Wu PH, Wirtz D, Wood LD, Hruban RH. Tissue clearing and 3D reconstruction of digitized, serially sectioned slides provide novel insights into pancreatic cancer. MED 2023; 4:75-91. [PMID: 36773599 PMCID: PMC9922376 DOI: 10.1016/j.medj.2022.11.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 10/06/2022] [Accepted: 11/23/2022] [Indexed: 01/26/2023]
Abstract
Pancreatic cancer is currently the third leading cause of cancer death in the United States. The clinical hallmarks of this disease include abdominal pain that radiates to the back, the presence of a hypoenhancing intrapancreatic lesion on imaging, and widespread liver metastases. Technologies such as tissue clearing and three-dimensional (3D) reconstruction of digitized serially sectioned hematoxylin and eosin-stained slides can be used to visualize large (up to 2- to 3-centimeter cube) tissues at cellular resolution. When applied to human pancreatic cancers, these 3D visualization techniques have provided novel insights into the basis of a number of the clinical characteristics of this disease. Here, we describe the clinical features of pancreatic cancer, review techniques for clearing and the 3D reconstruction of digitized microscope slides, and provide examples that illustrate how 3D visualization of human pancreatic cancer at the microscopic level has revealed features not apparent in 2D microscopy and, in so doing, has closed the gap between bench and bedside. Compared with animal models and 2D microscopy, studies of human tissues in 3D can reveal the difference between what can happen and what does happen in human cancers.
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Affiliation(s)
- Ashley L Kiemen
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Chemical & Biomolecular Engineering, The Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218, USA
| | - Alexander Ioannis Damanakis
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of General, Visceral, Cancer and Transplant Surgery, University Hospital of Cologne, Cologne, Germany
| | - Alicia M Braxton
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Jin He
- Department of Surgery, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Daniel Laheru
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Elliot K Fishman
- Department of Radiology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Patrick Chames
- Antibody Therapeutics and Immunotargeting Team, Aix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France
| | - Cristina Almagro Pérez
- Department of Chemical & Biomolecular Engineering, The Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218, USA
| | - Pei-Hsun Wu
- Department of Chemical & Biomolecular Engineering, The Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218, USA
| | - Denis Wirtz
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Chemical & Biomolecular Engineering, The Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218, USA
| | - Laura D Wood
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
| | - Ralph H Hruban
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
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