51
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Rogic A, Pant I, Grumolato L, Fernandez-Rodriguez R, Edwards A, Das S, Sun A, Yao S, Qiao R, Jaffer S, Sachidanandam R, Akturk G, Karlic R, Skobe M, Aaronson SA. High endogenous CCL2 expression promotes the aggressive phenotype of human inflammatory breast cancer. Nat Commun 2021; 12:6889. [PMID: 34824220 PMCID: PMC8617270 DOI: 10.1038/s41467-021-27108-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 11/02/2021] [Indexed: 12/13/2022] Open
Abstract
Inflammatory Breast Cancer (IBC) is a highly aggressive malignancy with distinct clinical and histopathological features whose molecular basis is unresolved. Here we describe a human IBC cell line, A3250, that recapitulates key IBC features in a mouse xenograft model, including skin erythema, diffuse tumor growth, dermal lymphatic invasion, and extensive metastases. A3250 cells express very high levels of the CCL2 chemokine and induce tumors enriched in macrophages. CCL2 knockdown leads to a striking reduction in macrophage densities, tumor proliferation, skin erythema, and metastasis. These results establish IBC-derived CCL2 as a key factor driving macrophage expansion, and indirectly tumor growth, with transcriptomic analysis demonstrating the activation of multiple inflammatory pathways. Finally, primary human IBCs exhibit macrophage infiltration and an enriched macrophage RNA signature. Thus, this human IBC model provides insight into the distinctive biology of IBC, and highlights potential therapeutic approaches to this deadly disease. Inflammatory breast cancer (IBC) is an aggressive form of breast cancer with a poor prognosis. Here the authors report the characterization of a human IBC cell line recapitulating the clinical and histopathological features of the human disease, and implicating its high level of CCL2 in macrophage infiltration and tumor progression.
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Affiliation(s)
- Anita Rogic
- Laboratory of Cancer Lymphangiogenesis, Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ila Pant
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Luca Grumolato
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Normandie University, UNIROUEN, INSERM, DC2N, Rouen, France
| | - Ruben Fernandez-Rodriguez
- Laboratory of Cancer Lymphangiogenesis, Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Andrew Edwards
- Laboratory of Cancer Lymphangiogenesis, Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Suvendu Das
- Laboratory of Cancer Lymphangiogenesis, Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Institute of Advanced Research, Department of Biological Sciences and Biotechnology, Koba Institutional, Area, Gandhinagar 382 426, Gujarat, India
| | - Aaron Sun
- Laboratory of Cancer Lymphangiogenesis, Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Shen Yao
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Rui Qiao
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Shabnam Jaffer
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ravi Sachidanandam
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Guray Akturk
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Rosa Karlic
- Bioinformatics group, Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Mihaela Skobe
- Laboratory of Cancer Lymphangiogenesis, Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA. .,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
| | - Stuart A Aaronson
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA. .,Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
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52
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Börner K, Teichmann SA, Quardokus EM, Gee JC, Browne K, Osumi-Sutherland D, Herr BW, Bueckle A, Paul H, Haniffa M, Jardine L, Bernard A, Ding SL, Miller JA, Lin S, Halushka MK, Boppana A, Longacre TA, Hickey J, Lin Y, Valerius MT, He Y, Pryhuber G, Sun X, Jorgensen M, Radtke AJ, Wasserfall C, Ginty F, Ho J, Sunshine J, Beuschel RT, Brusko M, Lee S, Malhotra R, Jain S, Weber G. Anatomical structures, cell types and biomarkers of the Human Reference Atlas. Nat Cell Biol 2021; 23:1117-1128. [PMID: 34750582 PMCID: PMC10079270 DOI: 10.1038/s41556-021-00788-6] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 09/29/2021] [Indexed: 02/05/2023]
Abstract
The Human Reference Atlas (HRA) aims to map all of the cells of the human body to advance biomedical research and clinical practice. This Perspective presents collaborative work by members of 16 international consortia on two essential and interlinked parts of the HRA: (1) three-dimensional representations of anatomy that are linked to (2) tables that name and interlink major anatomical structures, cell types, plus biomarkers (ASCT+B). We discuss four examples that demonstrate the practical utility of the HRA.
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Affiliation(s)
- Katy Börner
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ellen M Quardokus
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - James C Gee
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristen Browne
- Department of Health and Human Services, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - David Osumi-Sutherland
- European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge, UK
| | - Bruce W Herr
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Andreas Bueckle
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Hrishikesh Paul
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Muzlifah Haniffa
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Laura Jardine
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | | | | | - Shin Lin
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Marc K Halushka
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Avinash Boppana
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Teri A Longacre
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - John Hickey
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yiing Lin
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
| | - M Todd Valerius
- Harvard Institute of Medicine, Harvard Medical School, Boston, MA, USA
| | - Yongqun He
- Department of Microbiology and Immunology, and Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Gloria Pryhuber
- Department of Pediatrics, University of Rochester, Rochester, NY, USA
| | - Xin Sun
- Biological Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Marda Jorgensen
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Andrea J Radtke
- Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Clive Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Fiona Ginty
- Biology and Applied Physics, General Electric Research, Niskayuna, NY, USA
| | - Jonhan Ho
- Department of Dermatology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joel Sunshine
- Department of Dermatology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Rebecca T Beuschel
- Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Maigan Brusko
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Sujin Lee
- Division of Vascular Surgery and Endovascular Therapy, Massachusetts General Hospital, Boston, MA, USA
| | - Rajeev Malhotra
- Harvard Institute of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Vascular Surgery and Endovascular Therapy, Massachusetts General Hospital, Boston, MA, USA
| | - Sanjay Jain
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Griffin Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
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53
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Almagro J, Messal HA, Zaw Thin M, van Rheenen J, Behrens A. Tissue clearing to examine tumour complexity in three dimensions. Nat Rev Cancer 2021; 21:718-730. [PMID: 34331034 DOI: 10.1038/s41568-021-00382-w] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/18/2021] [Indexed: 02/07/2023]
Abstract
The visualization of whole organs and organisms through tissue clearing and fluorescence volumetric imaging has revolutionized the way we look at biological samples. Its application to solid tumours is changing our perception of tumour architecture, revealing signalling networks and cell interactions critical in tumour progression, and provides a powerful new strategy for cancer diagnostics. This Review introduces the latest advances in tissue clearing and three-dimensional imaging, examines the challenges in clearing epithelia - the tissue of origin of most malignancies - and discusses the insights that tissue clearing has brought to cancer research, as well as the prospective applications to experimental and clinical oncology.
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Affiliation(s)
- Jorge Almagro
- Adult Stem Cell Laboratory, The Francis Crick Institute, London, UK
| | - Hendrik A Messal
- Department of Molecular Pathology, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - May Zaw Thin
- Cancer Stem Cell Laboratory, Institute of Cancer Research, London, UK
| | - Jacco van Rheenen
- Department of Molecular Pathology, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Axel Behrens
- Adult Stem Cell Laboratory, The Francis Crick Institute, London, UK.
- Cancer Stem Cell Laboratory, Institute of Cancer Research, London, UK.
- Convergence Science Centre and Division of Cancer, Department of Surgery and Cancer, Imperial College London, London, UK.
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54
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Bittel M, Reichert P, Sarfati I, Dressel A, Leikam S, Uderhardt S, Stolzer I, Phu TA, Ng M, Vu NK, Tenzer S, Distler U, Wirtz S, Rothhammer V, Neurath MF, Raffai RL, Günther C, Momma S. Visualizing transfer of microbial biomolecules by outer membrane vesicles in microbe-host-communication in vivo. J Extracell Vesicles 2021; 10:e12159. [PMID: 34664784 PMCID: PMC8524437 DOI: 10.1002/jev2.12159] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 09/24/2021] [Accepted: 09/28/2021] [Indexed: 12/29/2022] Open
Abstract
The intestinal microbiota influences mammalian host physiology in health and disease locally in the gut but also in organs devoid of direct contact with bacteria such as the liver and brain. Extracellular vesicles (EVs) or outer membrane vesicles (OMVs) released by microbes are increasingly recognized for their potential role as biological shuttle systems for inter-kingdom communication. However, physiologically relevant evidence for the transfer of functional biomolecules from the intestinal microbiota to individual host cells by OMVs in vivo is scarce. By introducing Escherichia coli engineered to express Cre-recombinase (E. coliCre ) into mice with a Rosa26.tdTomato-reporter background, we leveraged the Cre-LoxP system to report the transfer of bacterial OMVs to recipient cells in vivo. Colonizing the intestine of these mice with E. coliCre , resulted in Cre-recombinase induced fluorescent reporter gene-expression in cells along the intestinal epithelium, including intestinal stem cells as well as mucosal immune cells such as macrophages. Furthermore, even far beyond the gut, bacterial-derived Cre induced extended marker gene expression in a wide range of host tissues, including the heart, liver, kidney, spleen, and brain. Together, our findings provide a method and proof of principle that OMVs can serve as a biological shuttle system for the horizontal transfer of functional biomolecules between bacteria and mammalian host cells.
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Affiliation(s)
- Miriam Bittel
- Department of Medicine 1Friedrich‐Alexander‐University Erlangen‐NürnbergErlangenGermany
| | - Patrick Reichert
- Department of Medicine 1Friedrich‐Alexander‐University Erlangen‐NürnbergErlangenGermany
| | - Ilann Sarfati
- Department of Medicine 1Friedrich‐Alexander‐University Erlangen‐NürnbergErlangenGermany
- Deutsches Zentrum ImmuntherapieFriedrich‐Alexander University Erlangen‐NürnbergErlangenGermany
| | - Anja Dressel
- Department of Medicine 1Friedrich‐Alexander‐University Erlangen‐NürnbergErlangenGermany
- Deutsches Zentrum ImmuntherapieFriedrich‐Alexander University Erlangen‐NürnbergErlangenGermany
| | - Stefanie Leikam
- Department of Medicine 1Friedrich‐Alexander‐University Erlangen‐NürnbergErlangenGermany
| | - Stefan Uderhardt
- Department of Internal Medicine 3University Hospital Erlangen and Friedrich‐Alexander‐University Erlangen‐Nürnberg (FAU)ErlangenGermany
- Exploratory Research UnitOptical Imaging Centre ErlangenFriedrich‐Alexander‐University Erlangen‐Nürnberg (FAU)ErlangenGermany
| | - Iris Stolzer
- Department of Medicine 1Friedrich‐Alexander‐University Erlangen‐NürnbergErlangenGermany
- Deutsches Zentrum ImmuntherapieFriedrich‐Alexander University Erlangen‐NürnbergErlangenGermany
| | - Tuan Anh Phu
- Northern California Institute for Research and EducationSan FranciscoCaliforniaUSA
| | - Martin Ng
- Northern California Institute for Research and EducationSan FranciscoCaliforniaUSA
| | - Ngan K. Vu
- Northern California Institute for Research and EducationSan FranciscoCaliforniaUSA
| | - Stefan Tenzer
- Institute of ImmunologyUniversity Medical Centre of the Johannes‐Gutenberg University MainzMainzGermany
- Research Centre for Immunotherapy (FZI)University Medical Center of the Johannes‐Gutenberg University MainzMainzGermany
| | - Ute Distler
- Institute of ImmunologyUniversity Medical Centre of the Johannes‐Gutenberg University MainzMainzGermany
- Research Centre for Immunotherapy (FZI)University Medical Center of the Johannes‐Gutenberg University MainzMainzGermany
| | - Stefan Wirtz
- Department of Medicine 1Friedrich‐Alexander‐University Erlangen‐NürnbergErlangenGermany
- Deutsches Zentrum ImmuntherapieFriedrich‐Alexander University Erlangen‐NürnbergErlangenGermany
| | - Veit Rothhammer
- Neurology Department (Experimental Glia Biology)University Hospital Erlangen and Friedrich‐Alexander‐University Erlangen‐Nürnberg (FAU)ErlangenGermany
| | - Markus F. Neurath
- Department of Medicine 1Friedrich‐Alexander‐University Erlangen‐NürnbergErlangenGermany
- Deutsches Zentrum ImmuntherapieFriedrich‐Alexander University Erlangen‐NürnbergErlangenGermany
| | - Robert L. Raffai
- Department of SurgeryDivision of Vascular and Endovascular SurgeryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Veterans AffairsSurgical Service (112G)San Francisco VA Medical CentreSan FranciscoCaliforniaUSA
| | - Claudia Günther
- Department of Medicine 1Friedrich‐Alexander‐University Erlangen‐NürnbergErlangenGermany
- Deutsches Zentrum ImmuntherapieFriedrich‐Alexander University Erlangen‐NürnbergErlangenGermany
| | - Stefan Momma
- Institute of Neurology (Edinger Institute)Goethe UniversityFrankfurt am MainGermany
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55
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Wang Y, Chen D, Xu D, Huang C, Xing R, He D, Xu H. Early developing B cells undergo negative selection by central nervous system-specific antigens in the meninges. Immunity 2021; 54:2784-2794.e6. [PMID: 34626548 DOI: 10.1016/j.immuni.2021.09.016] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/19/2021] [Accepted: 09/17/2021] [Indexed: 01/03/2023]
Abstract
Self-reactive B cell progenitors are eliminated through central tolerance checkpoints, a process thought to be restricted to the bone marrow in mammals. Here, we identified a consecutive trajectory of B cell development in the meninges of mice and non-human primates. The meningeal B cells were located predominantly at the dural sinuses, where endothelial cells expressed essential niche factors to support B cell development. Parabiosis experiments together with lineage tracing showed that meningeal developing B cells were replenished continuously from hematopoietic stem cell (HSC)-derived progenitors via a circulation-independent route. Autoreactive immature B cells that recognized myelin oligodendrocyte glycoprotein (MOG), a central nervous system-specific antigen, were eliminated specifically from the meninges. Furthermore, genetic deletion of the Mog gene restored the self-reactive B cell population in the meninges. These findings identify the meninges as a distinct reservoir for B cell development, allowing in situ negative selection to ensure a locally non-self-reactive immune repertoire.
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Affiliation(s)
- Yan Wang
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Laboratory of Systems Immunology, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China
| | - Dianyu Chen
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Laboratory of Systems Immunology, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China
| | - Di Xu
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Laboratory of Neuroimmunology, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China
| | - Chao Huang
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Laboratory of Systems Immunology, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China
| | - Ruxiao Xing
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Laboratory of Neuroimmunology, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China
| | - Danyang He
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Laboratory of Neuroimmunology, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China.
| | - Heping Xu
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Laboratory of Systems Immunology, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China.
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56
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Zhu J, Liu X, Deng Y, Li D, Yu T, Zhu D. Tissue optical clearing for 3D visualization of vascular networks: A review. Vascul Pharmacol 2021; 141:106905. [PMID: 34506969 DOI: 10.1016/j.vph.2021.106905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 08/31/2021] [Accepted: 09/02/2021] [Indexed: 12/01/2022]
Abstract
Reconstruction of the vasculature of intact tissues/organs down to the capillary level is essential for understanding the development and remodeling of vascular networks under physiological and pathological conditions. Optical imaging techniques can provide sufficient resolution to distinguish small vessels with several microns, but the imaging depth is somewhat limited due to the high light scattering of opaque tissue. Recently, various tissue optical clearing methods have been developed to overcome light attenuation and improve the imaging depth both for ex-vivo and in-vivo visualizations. Tissue clearing combined with vessel labeling techniques and advanced optical tomography enables successful mapping of the vasculature of different tissues/organs, as well as dynamically monitoring vessel function under normal and pathological conditions. Here, we briefly introduce the commonly-used labeling strategies for entire vascular networks, the current tissue optical clearing techniques available for various tissues, as well as the advanced optical imaging techniques for fast, high-resolution structural and functional imaging for blood vessels. We also discuss the applications of these techniques in the 3D visualization of vascular networks in normal tissues, and the vascular remodeling in several typical pathological models in clinical research. This review is expected to provide valuable insights for researchers to study the potential mechanisms of various vessel-associated diseases using tissue optical clearing pipeline.
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Affiliation(s)
- Jingtan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Xiaomei Liu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Yating Deng
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Dongyu Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Tingting Yu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
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57
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Algorithm of Pulmonary Vascular Segment and Centerline Extraction. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2021; 2021:3859386. [PMID: 34484415 PMCID: PMC8413036 DOI: 10.1155/2021/3859386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/22/2021] [Accepted: 08/12/2021] [Indexed: 11/21/2022]
Abstract
Because pulmonary vascular lesions are harmful to the human body and difficult to detect, computer-assisted diagnosis of pulmonary blood vessels has become the focus and difficulty of the current research. An algorithm of pulmonary vascular segment and centerline extraction which is consistent with the physician's diagnosis process is proposed for the first time. We construct the projection of maximum density, restore the vascular space information, and correct random walk algorithm to satisfy automatic and accurate segmentation of blood vessels. Construct a local 3D model to restrain Hessian matrix when extracting centerline. In order to assist the physician to make a correct diagnosis and verify the effectiveness of the algorithm, we proposed a visual expansion model. According to the 420 high-resolution CT data of lung blood vessels labeled by physicians, the accuracy of segmentation algorithm AOM reached 93%, and the processing speed was 0.05 s/frame, which achieved the clinical application standards.
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58
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Multicolor 3D Confocal Imaging of Thick Tissue Sections. Methods Mol Biol 2021; 2350:95-104. [PMID: 34331281 DOI: 10.1007/978-1-0716-1593-5_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
In multicellular organisms, most physiological and pathological processes involve an interplay between various cells and molecules that act both locally and systemically. To understand how these complex and dynamic processes occur in time and space, imaging techniques are key. Advances in tissue processing techniques and microscopy now allow us to probe these processes at a large scale and at the same time at a level of detail previously unachievable. Indeed, it is now possible to reliably quantify multiple protein expression levels at single-cell resolution in whole organs using three-dimensional fluorescence imaging techniques. Here we describe a method to prepare adult mouse bone tissue for multiplexed confocal imaging of thick tissue sections. Up to eight different fluorophores can be multiplexed using this technique and spectrally resolved using standard confocal microscopy. The optical clearing method described allows detection of these fluorophores up to a depth of >700 μm in the far-red. Although the method was initially developed for bone tissue imaging, we have successfully applied it to several other tissue types.
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59
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Stoltzfus CR, Sivakumar R, Kunz L, Olin Pope BE, Menietti E, Speziale D, Adelfio R, Bacac M, Colombetti S, Perro M, Gerner MY. Multi-Parameter Quantitative Imaging of Tumor Microenvironments Reveals Perivascular Immune Niches Associated With Anti-Tumor Immunity. Front Immunol 2021; 12:726492. [PMID: 34421928 PMCID: PMC8375665 DOI: 10.3389/fimmu.2021.726492] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 07/14/2021] [Indexed: 12/12/2022] Open
Abstract
Tumors are populated by a multitude of immune cell types with varied phenotypic and functional properties, which can either promote or inhibit anti-tumor responses. Appropriate localization and function of these cells within tumors is critical for protective immunity, with CD8 T cell infiltration being a biomarker of disease outcome and therapeutic efficacy. Recent multiplexed imaging approaches have revealed highly complex patterns of localization for these immune cell subsets and the generation of distinct tumor microenvironments (TMEs), which can vary among cancer types, individuals, and within individual tumors. While it is recognized that TMEs play a pivotal role in disease progression, a better understanding of their composition, organization, and heterogeneity, as well as how distinct TMEs are reshaped with immunotherapy, is necessary. Here, we performed spatial analysis using multi-parameter confocal imaging, histocytometry, and CytoMAP to study the microanatomical organization of immune cells in two widely used preclinical cancer models, the MC38 colorectal and KPC pancreatic murine tumors engineered to express human carcinoembryonic antigen (CEA). Immune responses were examined in either unperturbed tumors or after immunotherapy with a CEA T cell bispecific (CEA-TCB) surrogate antibody and anti-PD-L1 treatment. CEA-TCB mono and combination immunotherapy markedly enhanced intra-tumoral cellularity of CD8 T cells, dominantly driven by the expansion of TCF1-PD1+ effector T cells and with more minor increases in TCF1+PD1+ resource CD8 T cells. The majority of infiltrating T cells, particularly resource CD8 T cells, were colocalized with dendritic cells (DCs) or activated MHCII+ macrophages, but largely avoided the deeper tumor nest regions composed of cancer cells and non-activated macrophages. These myeloid cell - T cell aggregates were found in close proximity to tumor blood vessels, generating perivascular immune niches. This perivascular TME was present in untreated samples and markedly increased after CEA-TCB therapy, with its relative abundance positively associated with response to therapy. Together, these studies demonstrate the utility of advanced spatial analysis in cancer research by revealing that blood vessels are key organizational hubs of innate and adaptive immune cells within tumors, and suggesting the likely relevance of the perivascular immune TME in disease outcome.
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Affiliation(s)
- Caleb R. Stoltzfus
- Department of Immunology, University of Washington School of Medicine, Seattle, WA, United States
| | - Ramya Sivakumar
- Department of Immunology, University of Washington School of Medicine, Seattle, WA, United States
| | - Leo Kunz
- Pharmaceutical Research & Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Brandy E. Olin Pope
- Department of Immunology, University of Washington School of Medicine, Seattle, WA, United States
| | - Elena Menietti
- Pharmaceutical Research & Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Dario Speziale
- Pharmaceutical Research & Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Roberto Adelfio
- Pharmaceutical Research & Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Marina Bacac
- Pharmaceutical Research & Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Sara Colombetti
- Pharmaceutical Research & Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Mario Perro
- Pharmaceutical Research & Early Development (pRED), Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Michael Y. Gerner
- Department of Immunology, University of Washington School of Medicine, Seattle, WA, United States
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60
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Hofmann J, Keppler SJ. Tissue clearing and 3D imaging - putting immune cells into context. J Cell Sci 2021; 134:271108. [PMID: 34342351 DOI: 10.1242/jcs.258494] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
A better understanding of cell-cell and cell-niche interactions is crucial to comprehend the complexity of inflammatory or pathophysiological scenarios such as tissue damage during viral infections, the tumour microenvironment and neuroinflammation. Optical clearing and 3D volumetric imaging of large tissue pieces or whole organs is a rapidly developing methodology that holds great promise for the in-depth study of cells in their natural surroundings. These methods have mostly been applied to image structural components such as endothelial cells and neuronal architecture. Recent work now highlights the possibility of studying immune cells in detail within their respective immune niches. This Review summarizes recent developments in tissue clearing methods and 3D imaging, with a focus on the localization and quantification of immune cells. We first provide background to the optical challenges involved and their solutions before discussing published protocols for tissue clearing, the limitations of 3D imaging of immune cells and image analysis. Furthermore, we highlight possible applications for tissue clearing and propose future developments for the analysis of immune cells within homeostatic or inflammatory immune niches.
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Affiliation(s)
- Julian Hofmann
- Institute for Clinical Chemistry and Pathobiochemistry, München rechts der Isar (MRI), Technical University Munich, 81675 Munich, Germany.,TranslaTUM, Center for Translational Cancer Research, Technical University Munich, 81675 Munich, Germany
| | - Selina J Keppler
- Institute for Clinical Chemistry and Pathobiochemistry, München rechts der Isar (MRI), Technical University Munich, 81675 Munich, Germany.,TranslaTUM, Center for Translational Cancer Research, Technical University Munich, 81675 Munich, Germany
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61
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Black S, Phillips D, Hickey JW, Kennedy-Darling J, Venkataraaman VG, Samusik N, Goltsev Y, Schürch CM, Nolan GP. CODEX multiplexed tissue imaging with DNA-conjugated antibodies. Nat Protoc 2021; 16:3802-3835. [PMID: 34215862 PMCID: PMC8647621 DOI: 10.1038/s41596-021-00556-8] [Citation(s) in RCA: 221] [Impact Index Per Article: 73.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 04/14/2021] [Indexed: 02/06/2023]
Abstract
Advances in multiplexed imaging technologies have drastically improved our ability to characterize healthy and diseased tissues at the single-cell level. Co-detection by indexing (CODEX) relies on DNA-conjugated antibodies and the cyclic addition and removal of complementary fluorescently labeled DNA probes and has been used so far to simultaneously visualize up to 60 markers in situ. CODEX enables a deep view into the single-cell spatial relationships in tissues and is intended to spur discovery in developmental biology, disease and therapeutic design. Herein, we provide optimized protocols for conjugating purified antibodies to DNA oligonucleotides, validating the conjugation by CODEX staining and executing the CODEX multicycle imaging procedure for both formalin-fixed, paraffin-embedded (FFPE) and fresh-frozen tissues. In addition, we describe basic image processing and data analysis procedures. We apply this approach to an FFPE human tonsil multicycle experiment. The hands-on experimental time for antibody conjugation is ~4.5 h, validation of DNA-conjugated antibodies with CODEX staining takes ~6.5 h and preparation for a CODEX multicycle experiment takes ~8 h. The multicycle imaging and data analysis time depends on the tissue size, number of markers in the panel and computational complexity.
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Affiliation(s)
- Sarah Black
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Darci Phillips
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - John W Hickey
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Julia Kennedy-Darling
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Akoya Biosciences, Menlo Park, CA, USA
| | - Vishal G Venkataraaman
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Nikolay Samusik
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Becton Dickinson, San Jose, CA, USA
| | - Yury Goltsev
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Christian M Schürch
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany.
| | - Garry P Nolan
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
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62
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Martens S, Coolens K, Van Bulck M, Arsenijevic T, Casamitjana J, Fernandez Ruiz A, El Kaoutari A, Martinez de Villareal J, Madhloum H, Esni F, Heremans Y, Leuckx G, Heimberg H, Bouwens L, Jacquemin P, De Paep DL, In't Veld P, D'Haene N, Bouchart C, Dusetti N, Van Laethem JL, Waelput W, Lefesvre P, Real FX, Rovira M, Rooman I. Discovery and 3D imaging of a novel ΔNp63-expressing basal cell type in human pancreatic ducts with implications in disease. Gut 2021; 71:gutjnl-2020-322874. [PMID: 34330784 PMCID: PMC9484383 DOI: 10.1136/gutjnl-2020-322874] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 07/20/2021] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The aggressive basal-like molecular subtype of pancreatic ductal adenocarcinoma (PDAC) harbours a ΔNp63 (p40) gene expression signature reminiscent of a basal cell type. Distinct from other epithelia with basal tumours, ΔNp63+ basal cells reportedly do not exist in the normal pancreas. DESIGN We evaluated ΔNp63 expression in human pancreas, chronic pancreatitis (CP) and PDAC. We further studied in depth the non-cancerous tissue and developed a three-dimensional (3D) imaging protocol (FLIP-IT, Fluorescence Light sheet microscopic Imaging of Paraffin-embedded or Intact Tissue) to study formalin-fixed paraffin-embedded samples at single cell resolution. Pertinent mouse models and HPDE cells were analysed. RESULTS In normal human pancreas, rare ΔNp63+ cells exist in ducts while their prevalence increases in CP and in a subset of PDAC. In non-cancer tissue, ΔNp63+ cells are atypical KRT19+ duct cells that overall lack SOX9 expression while they do express canonical basal markers and pertain to a niche of cells expressing gastrointestinal stem cell markers. 3D views show that the basal cells anchor on the basal membrane of normal medium to large ducts while in CP they exist in multilayer dome-like structures. In mice, ΔNp63 is not found in adult pancreas nor in selected models of CP or PDAC, but it is induced in organoids from larger Sox9low ducts. In HPDE, ΔNp63 supports a basal cell phenotype at the expense of a classical duct cell differentiation programme. CONCLUSION In larger human pancreatic ducts, basal cells exist. ΔNp63 suppresses duct cell identity. These cells may play an important role in pancreatic disease, including PDAC ontogeny, but are not present in mouse models.
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Affiliation(s)
- Sandrina Martens
- Laboratory of Medical and Molecular Oncology, Vrije Universiteit Brussel, Brussel, Belgium
| | - Katarina Coolens
- Laboratory of Medical and Molecular Oncology, Vrije Universiteit Brussel, Brussel, Belgium
| | - Mathias Van Bulck
- Laboratory of Medical and Molecular Oncology, Vrije Universiteit Brussel, Brussel, Belgium
| | - Tatjana Arsenijevic
- Laboratory of Experimental Gastroenterology, Université Libre de Bruxelles, Bruxelles, Belgium
- Hopital Erasme Service de Gastroenterologie d'Hepato-Pancreatologie et d'Oncologie Digestive, Bruxelles, Belgium
| | - Joan Casamitjana
- Department of Physiological Science, School of Medicine, University of Barcelona (UB), L'Hospitalet de Llobregat, Spain
- Pancreas Regeneration: Pancreatic Progenitors and Their Niche Group, Regenerative Medicine Program, P-CMR[C], Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain
| | - Angel Fernandez Ruiz
- Department of Physiological Science, School of Medicine, University of Barcelona (UB), L'Hospitalet de Llobregat, Spain
- Pancreas Regeneration: Pancreatic Progenitors and Their Niche Group, Regenerative Medicine Program, P-CMR[C], Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain
| | - Abdessamad El Kaoutari
- Centre de Recherche en Cancérologie de Marseille - CRCM, INSERM UMR1068, CRCM, Marseille, France
- COMPO Unit, Centre de Recherche en Cancérologie de Marseille, Marseille, France
| | | | - Hediel Madhloum
- Laboratory of Medical and Molecular Oncology, Vrije Universiteit Brussel, Brussel, Belgium
| | - Farzad Esni
- Division of Pediatric General and Thoracic Surgery, University of Pittsburgh Department of Surgery, Pittsburgh, Pennsylvania, USA
| | - Yves Heremans
- Laboratory of Beta Cell Neogenesis, Vrije Universiteit Brussel, Brussel, Belgium
| | - Gunter Leuckx
- Laboratory of Beta Cell Neogenesis, Vrije Universiteit Brussel, Brussel, Belgium
| | - Harry Heimberg
- Laboratory of Beta Cell Neogenesis, Vrije Universiteit Brussel, Brussel, Belgium
| | - Luc Bouwens
- Cell Differentiation Laboratory, Vrije Universiteit Brussel, Brussel, Belgium
| | - Patrick Jacquemin
- Institut de Duve, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | | | - Peter In't Veld
- Diabetes Research Center, Vrije Universiteit Brussel, Brussel, Belgium
| | - Nicky D'Haene
- Department of Pathology, Hopital Erasme, Bruxelles, Belgium
| | - Christelle Bouchart
- Department of Radiation-Oncology, Jules Bordet Institute, Bruxelles, Belgium
| | - Nelson Dusetti
- Centre de Recherche en Cancérologie de Marseille - CRCM, INSERM UMR1068, CRCM, Marseille, France
| | - Jean-Luc Van Laethem
- Laboratory of Experimental Gastroenterology, Université Libre de Bruxelles, Bruxelles, Belgium
- Hopital Erasme Service de Gastroenterologie d'Hepato-Pancreatologie et d'Oncologie Digestive, Bruxelles, Belgium
| | - Wim Waelput
- Department of Pathology, UZ Brussel, Brussel, Belgium
- Department of Pathology, Vrije Universiteit Brussel, Brussel, Belgium
| | - Pierre Lefesvre
- Department of Pathology, UZ Brussel, Brussel, Belgium
- Department of Pathology, Vrije Universiteit Brussel, Brussel, Belgium
| | - Francisco X Real
- Epithelial Carcinogenesis Group, Spanish National Cancer Research Centre, Madrid, Spain
| | - Meritxell Rovira
- Department of Physiological Science, School of Medicine, University of Barcelona (UB), L'Hospitalet de Llobregat, Spain
- Pancreas Regeneration: Pancreatic Progenitors and Their Niche Group, Regenerative Medicine Program, P-CMR[C], Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain
| | - Ilse Rooman
- Laboratory of Medical and Molecular Oncology, Vrije Universiteit Brussel, Brussel, Belgium
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63
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Gai H, Wang Y, Chan LLH, Chiu B. Identification of Retinal Ganglion Cells from β-III Stained Fluorescent Microscopic Images. J Digit Imaging 2021; 33:1352-1363. [PMID: 32705432 DOI: 10.1007/s10278-020-00365-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Optic nerve crush in mouse model is widely used for investigating the course following retinal ganglion cell (RGCs) injury. Manual cell counting from β-III tubulin stained microscopic images has been routinely performed to monitor RGCs after an optic nerve crush injury, but is time-consuming and prone to observer variability. This paper describes an automatic technique for RGC identification. We developed and validated (i) a sensitive cell candidate segmentation scheme and (ii) a classifier that removed false positives while retaining true positives. Two major contributions were made in cell candidate segmentation. First, a homomorphic filter was designed to adjust for the inhomogeneous illumination caused by uneven penetration of β-III tubulin antibody. Second, the optimal segmentation parameters for cell detection are highly image-specific. To address this issue, we introduced an offline-online parameter tuning approach. Offline tuning optimized model parameters based on training images and online tuning further optimized the parameters at the testing stage without needing access to the ground truth. In the cell identification stage, 31 geometric, statistical and textural features were extracted from each segmented cell candidate, which was subsequently classified as true or false positives by support vector machine. The homomorphic filter and the online parameter tuning approach together increased cell recall by 28%. The entire pipeline attained a recall, precision and coefficient of determination (r2) of 85.3%, 97.1% and 0.994. The availability of the proposed pipeline will allow efficient, accurate and reproducible RGC quantification required for assessing the death/survival of RGCs in disease models.
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Affiliation(s)
- He Gai
- Department of Electrical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong
| | - Yi Wang
- Department of Electrical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong
| | - Leanne L H Chan
- Department of Electrical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong
| | - Bernard Chiu
- Department of Electrical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong.
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64
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Wong HS, Park K, Gola A, Baptista AP, Miller CH, Deep D, Lou M, Boyd LF, Rudensky AY, Savage PA, Altan-Bonnet G, Tsang JS, Germain RN. A local regulatory T cell feedback circuit maintains immune homeostasis by pruning self-activated T cells. Cell 2021; 184:3981-3997.e22. [PMID: 34157301 PMCID: PMC8390950 DOI: 10.1016/j.cell.2021.05.028] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 01/29/2021] [Accepted: 05/18/2021] [Indexed: 12/21/2022]
Abstract
A fraction of mature T cells can be activated by peripheral self-antigens, potentially eliciting host autoimmunity. We investigated homeostatic control of self-activated T cells within unperturbed tissue environments by combining high-resolution multiplexed and volumetric imaging with computational modeling. In lymph nodes, self-activated T cells produced interleukin (IL)-2, which enhanced local regulatory T cell (Treg) proliferation and inhibitory functionality. The resulting micro-domains reciprocally constrained inputs required for damaging effector responses, including CD28 co-stimulation and IL-2 signaling, constituting a negative feedback circuit. Due to these local constraints, self-activated T cells underwent transient clonal expansion, followed by rapid death ("pruning"). Computational simulations and experimental manipulations revealed the feedback machinery's quantitative limits: modest reductions in Treg micro-domain density or functionality produced non-linear breakdowns in control, enabling self-activated T cells to subvert pruning. This fine-tuned, paracrine feedback process not only enforces immune homeostasis but also establishes a sharp boundary between autoimmune and host-protective T cell responses.
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Affiliation(s)
- Harikesh S Wong
- Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-1892, USA.
| | - Kyemyung Park
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-1892, USA; Biophysics program, Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA
| | - Anita Gola
- Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-1892, USA
| | - Antonio P Baptista
- Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-1892, USA; Laboratory of Immunoregulation and Mucosal Immunology, VIB-UGhent Center for Inflammation Research, Ghent University, 9052 Ghent, Belgium; Department of Internal Medicine and Pediatrics, Ghent University, 9000 Ghent, Belgium
| | | | - Deeksha Deep
- Howard Hughes Medical Institute, Immunology Program and Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Meng Lou
- Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-1892, USA
| | - Lisa F Boyd
- Molecular Biology Section, Laboratory of Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Alexander Y Rudensky
- Howard Hughes Medical Institute, Immunology Program and Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Peter A Savage
- Department of Pathology, University of Chicago, Chicago, IL 60637, USA
| | - Grégoire Altan-Bonnet
- Immunodynamics Group, Cancer and Inflammation Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - John S Tsang
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-1892, USA
| | - Ronald N Germain
- Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-1892, USA.
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65
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Zimmer CL, von Seth E, Buggert M, Strauss O, Hertwig L, Nguyen S, Wong AYW, Zotter C, Berglin L, Michaëlsson J, Hansson MR, Arnelo U, Sparrelid E, Ellis ECS, Söderholm JD, Keita ÅV, Holm K, Özenci V, Hov JR, Mold JE, Cornillet M, Ponzetta A, Bergquist A, Björkström NK. A biliary immune landscape map of primary sclerosing cholangitis reveals a dominant network of neutrophils and tissue-resident T cells. Sci Transl Med 2021; 13:13/599/eabb3107. [PMID: 34162753 DOI: 10.1126/scitranslmed.abb3107] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 03/13/2021] [Accepted: 05/17/2021] [Indexed: 12/14/2022]
Abstract
The human biliary system, a mucosal barrier tissue connecting the liver and intestine, is an organ often affected by serious inflammatory and malignant diseases. Although these diseases are linked to immunological processes, the biliary system represents an unexplored immunological niche. By combining endoscopy-guided sampling of the biliary tree with a high-dimensional analysis approach, comprehensive mapping of the human biliary immunological landscape in patients with primary sclerosing cholangitis (PSC), a severe biliary inflammatory disease, was conducted. Major differences in immune cell composition in bile ducts compared to blood were revealed. Furthermore, biliary inflammation in patients with PSC was characterized by high presence of neutrophils and T cells as compared to control individuals without PSC. The biliary T cells displayed a CD103+CD69+ effector memory phenotype, a combined gut and liver homing profile, and produced interleukin-17 (IL-17) and IL-22. Biliary neutrophil infiltration in PSC associated with CXCL8, possibly produced by resident T cells, and CXCL16 was linked to the enrichment of T cells. This study uncovers the immunological niche of human bile ducts, defines a local immune network between neutrophils and biliary-resident T cells in PSC, and provides a resource for future studies of the immune responses in biliary disorders.
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Affiliation(s)
- Christine L Zimmer
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14152 Stockholm, Sweden
| | - Erik von Seth
- Division of Upper GI Diseases, Karolinska University Hospital, 14157 Stockholm, Sweden.,Unit of Gastroenterology and Rheumatology, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14157 Stockholm, Sweden
| | - Marcus Buggert
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14152 Stockholm, Sweden
| | - Otto Strauss
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14152 Stockholm, Sweden
| | - Laura Hertwig
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14152 Stockholm, Sweden
| | - Son Nguyen
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6076, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alicia Y W Wong
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 14152 Stockholm, Sweden
| | - Chiara Zotter
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14152 Stockholm, Sweden
| | - Lena Berglin
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14152 Stockholm, Sweden
| | - Jakob Michaëlsson
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14152 Stockholm, Sweden
| | - Marcus Reuterwall Hansson
- Division of Surgery, Department of Clinical Science, Intervention, and Technology, Karolinska Institutet, 14152 Stockholm, Sweden
| | - Urban Arnelo
- Division of Surgery, Department of Clinical Science, Intervention, and Technology, Karolinska Institutet, 14152 Stockholm, Sweden.,Department of Surgical and Perioperative sciences, Surgery, Umeå University, 90187 Umeå, Sweden
| | - Ernesto Sparrelid
- Division of Surgery, Department of Clinical Science, Intervention, and Technology, Karolinska Institutet, 14152 Stockholm, Sweden
| | - Ewa C S Ellis
- Division of Transplantation Surgery, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 14186 Stockholm, Sweden
| | - Johan D Söderholm
- Department of Biomedical and Clinical Sciences, Linköping University, 58183 Linköping, Sweden.,Department of Surgery, Linköping University Hospital, 58185 Linköping, Sweden
| | - Åsa V Keita
- Department of Biomedical and Clinical Sciences, Linköping University, 58183 Linköping, Sweden
| | - Kristian Holm
- Institute of Clinical Medicine, University of Oslo, 0318 Oslo, Norway.,Norwegian PSC Research Center, Department of Transplantation Medicine, Oslo University Hospital, 0424 Oslo, Norway
| | - Volkan Özenci
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 14152 Stockholm, Sweden
| | - Johannes R Hov
- Institute of Clinical Medicine, University of Oslo, 0318 Oslo, Norway.,Norwegian PSC Research Center, Department of Transplantation Medicine, Oslo University Hospital, 0424 Oslo, Norway.,Section of Gastroenterology, Department of Transplantation Medicine, Oslo University Hospital, 0424 Oslo, Norway.,Research Institute of Internal Medicine, Oslo University Hospital, 0424 Oslo, Norway
| | - Jeff E Mold
- Department of Cell and Molecular Biology, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Martin Cornillet
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14152 Stockholm, Sweden
| | - Andrea Ponzetta
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14152 Stockholm, Sweden
| | - Annika Bergquist
- Division of Upper GI Diseases, Karolinska University Hospital, 14157 Stockholm, Sweden.,Unit of Gastroenterology and Rheumatology, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14157 Stockholm, Sweden
| | - Niklas K Björkström
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, 14152 Stockholm, Sweden.
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66
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Li L, Wu J, Abdi R, Jewell CM, Bromberg JS. Lymph node fibroblastic reticular cells steer immune responses. Trends Immunol 2021; 42:723-734. [PMID: 34256989 PMCID: PMC8324561 DOI: 10.1016/j.it.2021.06.006] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 06/10/2021] [Accepted: 06/14/2021] [Indexed: 02/06/2023]
Abstract
Lymph nodes (LNs), where immune responses are initiated, are organized into distinctive compartments by fibroblastic reticular cells (FRCs). FRCs imprint immune responses by supporting LN architecture, recruiting immune cells, coordinating immune cell crosstalk, and presenting antigens. Recent high-resolution transcriptional and histological analyses have enriched our knowledge of LN FRC genetic and spatial heterogeneities. Here, we summarize updated anatomic, phenotypic, and functional identities of FRC subsets, delve into topological and transcriptional remodeling of FRCs in inflammation, and illustrate the crosstalk between FRCs and immune cells. Discussing FRC functions in immunity and tolerance, we highlight state-of-the-art FRC-based therapeutic approaches for maintaining physiological homeostasis, steering protective immunity, inducing transplantation tolerance, and treating diverse immune-related diseases.
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Affiliation(s)
- Lushen Li
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Jing Wu
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Reza Abdi
- Transplantation Research Center, Renal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Christopher M Jewell
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA
| | - Jonathan S Bromberg
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
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67
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Wan P, Li Y, Zhu J, Xu J, Liu X, Yu T, Zhu D. FDISCO+: a clearing method for robust fluorescence preservation of cleared samples. NEUROPHOTONICS 2021; 8:035007. [PMID: 34514032 PMCID: PMC8427119 DOI: 10.1117/1.nph.8.3.035007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 08/24/2021] [Indexed: 05/05/2023]
Abstract
Significance: The recently reported solvent-based optical clearing method FDISCO can preserve various fluorescent signals very well. However, the strict low-temperature storage condition of FDISCO is not conducive to long-time or repetitive imaging usually conducted at room temperature. Therefore, it is important to solve the contradiction between fluorescence preservation and imaging condition. Aim: We develop a modified FDISCO clearing method, termed FDISCO+, to change the preservation condition from low temperature to room temperature. Approach: Two alternative antioxidants were screened out to effectively inhibit the peroxide generation in the clearing agent at room temperature, enabling robust fluorescence preservation of cleared samples. Results: FDISCO+ achieves comparable fluorescence preservation with the original FDISCO protocol and allows long-time storage at room temperature, making it easier for researchers to image and preserve the samples. Conclusions: FDISCO+ is expected to be widely used due to its loose operation requirements.
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Affiliation(s)
- Peng Wan
- Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Wuhan, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan, China
| | - Yusha Li
- Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Wuhan, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan, China
| | - Jingtan Zhu
- Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Wuhan, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan, China
| | - Jianyi Xu
- Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Wuhan, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan, China
| | - Xiaomei Liu
- Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Wuhan, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan, China
| | - Tingting Yu
- Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Wuhan, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan, China
- Address all correspondence to Tingting Yu,
| | - Dan Zhu
- Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Wuhan, China
- Huazhong University of Science and Technology, MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan, China
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68
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Jeucken KCM, Koning JJ, van Hamburg JP, Mebius RE, Tas SW. A Straightforward Method for 3D Visualization of B Cell Clusters and High Endothelial Venules in Lymph Nodes Highlights Differential Roles of TNFRI and -II. Front Immunol 2021; 12:699336. [PMID: 34234786 PMCID: PMC8255985 DOI: 10.3389/fimmu.2021.699336] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 06/08/2021] [Indexed: 12/19/2022] Open
Abstract
Whole mount tissue immunolabeling and imaging of complete organs has tremendous benefits in characterizing organ morphology. Here, we present a straightforward method for immunostaining, clearing and imaging of whole murine peripheral lymph nodes (PLNs) for detailed analysis of their architecture and discuss all procedures in detail in a step-by-step approach. Given the importance of tumor necrosis factor receptor (TNFR) signaling in development of PLNs we used TNFRI-/- and TNFRII-/- mice models as proof-of-concept for this technique by visualizing and analyzing structural changes in PLN B cell clusters and high endothelial venules (HEVs). Samples were subjected to de- and rehydration with methanol, labeled with antibodies for B cells, T cells and high endothelial venules (HEVs) and optically cleared using benzyl alcohol-benzyl benzoate. Imaging was done using LaVision light sheet microscope and analysis with Imaris software. Using these techniques, we confirmed previous findings that TNFRI signaling is essential for formation of individual B cell clusters. In addition, Our data suggest that TNFRII signaling is also to some extent involved in this process as TNFRII-/- PLNs had a B cell cluster morphology reminiscent of TNFRI-/- PLNs. Moreover, visualization and objective quantification of the complete PLN high endothelial vasculature unveiled reduced volume, length and branching points of HEVs in TNFRI-/- PLNs, revealing an earlier unrecognized contribution of TNFRI signaling in HEV morphology. Together, these results underline the potential of whole mount tissue staining and advanced imaging techniques to unravel even subtle changes in lymphoid tissue architecture.
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Affiliation(s)
- Kim C M Jeucken
- Department of Experimental Immunology, Amsterdam Institute for Infection & Immunity, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands.,Department of Clinical Immunology and Rheumatology, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Jasper J Koning
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection & Immunity Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Jan Piet van Hamburg
- Department of Experimental Immunology, Amsterdam Institute for Infection & Immunity, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands.,Department of Clinical Immunology and Rheumatology, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Reina E Mebius
- Department of Molecular Cell Biology and Immunology, Amsterdam Infection & Immunity Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Sander W Tas
- Department of Experimental Immunology, Amsterdam Institute for Infection & Immunity, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands.,Department of Clinical Immunology and Rheumatology, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
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69
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Abtahi S, Gliksman NR, Heneghan JF, Nilsen SP, Muhlich JL, Copeland J, Rozbicki E, Allan C, Dudeja PK, Turner JR. A Simple Method for Creating a High-Content Microscope for Imaging Multiplexed Tissue Microarrays. Curr Protoc 2021; 1:e68. [PMID: 33822482 DOI: 10.1002/cpz1.68] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
High-throughput, high-content imaging technologies and multiplex slide scanning have become widely used. Advantages of these approaches include the ability to archive digital copies of slides, review slides as teams using virtual microscopy software, and standardize analytical approaches. The cost and hardware and software inflexibility of dedicated slide scanning devices can, however, complicate implementation. Here, we describe a simple method that allows any microscope to be used for slide scanning. The only requirements are that the microscope be equipped with a motorized filter turret or wheels (for multi-channel fluorescence) and a motorized xyz stage. This example uses MetaMorph software, but the same principles can be used with any microscope control software that includes a few standard functions and allows programming of simple command routines, or journals. The series of journals that implement the method perform key functions, including assistance in defining an unlimited number of regions of interest (ROI) and imaging parameters. Fully automated acquisition is rapid, taking less than 3 hr to image fifty 2.5-mm ROIs in four channels. Following acquisition, images can be easily stitched and displayed using open-source or commercial image-processing and virtual microscope applications. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Hardware and software configuration Basic Protocol 2: Create a preliminary scan Basic Protocol 3: Select, save, and position ROIs Basic Protocol 4: Determine and set autofocus parameters Basic Protocol 5: Acquire tiled images Basic Protocol 6: Review the scans Basic Protocol 7: Reimage ROIs as needed Basic Protocol 8: Stitch, stack, and assemble images Basic Protocol 9: Repeat scanning for multiplex immunostaining or background subtraction.
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Affiliation(s)
- Shabnam Abtahi
- Department of Pathology, Laboratory of Mucosal Barrier Pathobiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | | | - John F Heneghan
- Department of Pathology, Laboratory of Mucosal Barrier Pathobiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Steven P Nilsen
- Department of Pathology, Laboratory of Mucosal Barrier Pathobiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jeremy L Muhlich
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts
| | - Jay Copeland
- Harvard Medical School Information Technology Department, Research Computing, Harvard Medical School, Boston, Massachusetts
| | | | - Chris Allan
- Glencoe Software, Dundee, Scotland, United Kingdom
| | - Pradeep K Dudeja
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Illinois at Chicago, Chicago, Illinois.,Jesse Brown Veterans Affairs Medical Center, Chicago, Illinois
| | - Jerrold R Turner
- Department of Pathology, Laboratory of Mucosal Barrier Pathobiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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70
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Susaki EA, Takasato M. Perspective: Extending the Utility of Three-Dimensional Organoids by Tissue Clearing Technologies. Front Cell Dev Biol 2021; 9:679226. [PMID: 34195197 PMCID: PMC8236633 DOI: 10.3389/fcell.2021.679226] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 05/11/2021] [Indexed: 01/06/2023] Open
Abstract
An organoid, a self-organizing organ-like tissue developed from stem cells, can exhibit a miniaturized three-dimensional (3D) structure and part of the physiological functions of the original organ. Due to the reproducibility of tissue complexity and ease of handling, organoids have replaced real organs and animals for a variety of uses, such as investigations of the mechanisms of organogenesis and disease onset, and screening of drug effects and/or toxicity. The recent advent of tissue clearing and 3D imaging techniques have great potential contributions to organoid studies by allowing the collection and analysis of 3D images of whole organoids with a reasonable throughput and thus can expand the means of examining the 3D architecture, cellular components, and variability among organoids. Genetic and histological cell-labeling methods, together with organoid clearing, also allow visualization of critical structures and cellular components within organoids. The collected 3D data may enable image analysis to quantitatively assess structures within organoids and sensitively/effectively detect abnormalities caused by perturbations. These capabilities of tissue/organoid clearing and 3D imaging techniques not only extend the utility of organoids in basic biology but can also be applied for quality control of clinical organoid production and large-scale drug screening.
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Affiliation(s)
- Etsuo A. Susaki
- Department of Biochemistry and Systems Biomedicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan
- Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan
| | - Minoru Takasato
- Laboratory for Human Organogenesis, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan
- Laboratory of Molecular Cell Biology and Development, Department of Animal Development and Physiology, Graduate School of Biostudies, Kyoto University, Kyoto, Japan
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71
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Sands GB, Ashton JL, Trew ML, Baddeley D, Walton RD, Benoist D, Efimov IR, Smith NP, Bernus O, Smaill BH. It's clearly the heart! Optical transparency, cardiac tissue imaging, and computer modelling. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2021; 168:18-32. [PMID: 34126113 DOI: 10.1016/j.pbiomolbio.2021.06.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 05/10/2021] [Accepted: 06/07/2021] [Indexed: 12/19/2022]
Abstract
Recent developments in clearing and microscopy enable 3D imaging with cellular resolution up to the whole organ level. These methods have been used extensively in neurobiology, but their uptake in other fields has been much more limited. Application of this approach to the human heart and effective use of the data acquired present challenges of scale and complexity. Four interlinked issues need to be addressed: 1) efficient clearing and labelling of heart tissue, 2) fast microscopic imaging of human-scale samples, 3) handling and processing of multi-terabyte 3D images, and 4) extraction of structural information in computationally tractable structure-based models of cardiac function. Preliminary studies show that each of these requirements can be achieved with the appropriate application and development of existing technologies.
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Affiliation(s)
- Gregory B Sands
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
| | - Jesse L Ashton
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - Mark L Trew
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - David Baddeley
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand; Department of Cell Biology, Yale University, New Haven CT, 06520, USA
| | - Richard D Walton
- IHU Liryc, Fondation Bordeaux Université, Bordeaux, France; Univ. Bordeaux, Inserm, Centre de Recherche Cardio-Thoracique, U1045, 33000, Bordeaux, France
| | - David Benoist
- IHU Liryc, Fondation Bordeaux Université, Bordeaux, France; Univ. Bordeaux, Inserm, Centre de Recherche Cardio-Thoracique, U1045, 33000, Bordeaux, France
| | - Igor R Efimov
- IHU Liryc, Fondation Bordeaux Université, Bordeaux, France; Department of Biomedical Engineering, The George Washington University, Washington DC, 20052, USA
| | - Nicolas P Smith
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand; Queensland University of Technology, Brisbane 4000, Australia
| | - Olivier Bernus
- IHU Liryc, Fondation Bordeaux Université, Bordeaux, France; Univ. Bordeaux, Inserm, Centre de Recherche Cardio-Thoracique, U1045, 33000, Bordeaux, France
| | - Bruce H Smaill
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
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72
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Moysi E, Del Rio Estrada PM, Torres-Ruiz F, Reyes-Terán G, Koup RA, Petrovas C. In Situ Characterization of Human Lymphoid Tissue Immune Cells by Multispectral Confocal Imaging and Quantitative Image Analysis; Implications for HIV Reservoir Characterization. Front Immunol 2021; 12:683396. [PMID: 34177929 PMCID: PMC8221112 DOI: 10.3389/fimmu.2021.683396] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 05/13/2021] [Indexed: 11/13/2022] Open
Abstract
CD4 T cells are key mediators of adaptive immune responses during infection and vaccination. Within secondary lymphoid organs, helper CD4 T cells, particularly those residing in germinal centers known as follicular helper T cells (Tfh), provide critical help to B-cells to promote their survival, isotype switching and selection of high affinity memory B-cells. On the other hand, the important role of Tfh cells for the maintenance of HIV reservoir is well documented. Thus, interrogating and better understanding the tissue specific micro-environment and immune subsets that contribute to optimal Tfh cell differentiation and function is important for designing successful prevention and cure strategies. Here, we describe the development and optimization of eight multispectral confocal microscopy immunofluorescence panels designed for in depth characterization and immune-profiling of relevant immune cells in formalin-fixed paraffin-embedded human lymphoid tissue samples. We provide a comprehensive library of antibodies to use for the characterization of CD4+ T-cells -including Tfh and regulatory T-cells- as well as CD8 T-cells, B-cells, macrophages and dendritic cells and discuss how the resulting multispectral confocal datasets can be quantitatively dissected using the HistoCytometry pipeline to collect information about relative frequencies and immune cell spatial distributions. Cells harboring actively transcribed virus are analyzed using an in-situ hybridization assay for the characterization of HIV mRNA positive cells in combination with additional protein markers (multispectral RNAscope). The application of this methodology to lymphoid tissues offers a means to interrogate multiple relevant immune cell targets simultaneously at increased resolution in a reproducible manner to guide CD4 T-cell studies in infection and vaccination.
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Affiliation(s)
- Eirini Moysi
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Perla M Del Rio Estrada
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico
| | - Fernanda Torres-Ruiz
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico
| | - Gustavo Reyes-Terán
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico.,Comisión Coordinadora de Institutos Nacionales de Salud y Hospitales de Alta Especialidad, Secretaría de Salud, Mexico City, Mexico
| | - Richard A Koup
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Constantinos Petrovas
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States.,Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital, Lausanne, Switzerland
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73
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Yu T, Li D, Zhu D. Tissue Optical Clearing for Biomedical Imaging: From In Vitro to In Vivo. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 3233:217-255. [PMID: 34053030 DOI: 10.1007/978-981-15-7627-0_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Tissue optical clearing technique provides a prospective solution for the application of advanced optical methods in life sciences. This chapter firstly gives a brief introduction to mechanisms of tissue optical clearing techniques, from the physical mechanism to chemical mechanism, which is the most important foundation to develop tissue optical clearing methods. During the past years, in vitro and in vivo tissue optical clearing methods were developed. In vitro tissue optical clearing techniques, including the solvent-based clearing methods and the hydrophilic reagents-based clearing methods, combined with labeling technique and advanced microscopy, can be applied to image 3D microstructure of tissue blocks or whole organs such as brain and spinal cord with high resolution. In vivo skin or skull optical clearing, promise various optical imaging techniques to detect cutaneous or cortical cell and vascular structure and function without surgical window.
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Affiliation(s)
- Tingting Yu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, China.,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dongyu Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, China.,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, China. .,MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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74
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Van Tilbeurgh M, Lemdani K, Beignon AS, Chapon C, Tchitchek N, Cheraitia L, Marcos Lopez E, Pascal Q, Le Grand R, Maisonnasse P, Manet C. Predictive Markers of Immunogenicity and Efficacy for Human Vaccines. Vaccines (Basel) 2021; 9:579. [PMID: 34205932 PMCID: PMC8226531 DOI: 10.3390/vaccines9060579] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/22/2021] [Accepted: 05/24/2021] [Indexed: 02/07/2023] Open
Abstract
Vaccines represent one of the major advances of modern medicine. Despite the many successes of vaccination, continuous efforts to design new vaccines are needed to fight "old" pandemics, such as tuberculosis and malaria, as well as emerging pathogens, such as Zika virus and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Vaccination aims at reaching sterilizing immunity, however assessing vaccine efficacy is still challenging and underscores the need for a better understanding of immune protective responses. Identifying reliable predictive markers of immunogenicity can help to select and develop promising vaccine candidates during early preclinical studies and can lead to improved, personalized, vaccination strategies. A systems biology approach is increasingly being adopted to address these major challenges using multiple high-dimensional technologies combined with in silico models. Although the goal is to develop predictive models of vaccine efficacy in humans, applying this approach to animal models empowers basic and translational vaccine research. In this review, we provide an overview of vaccine immune signatures in preclinical models, as well as in target human populations. We also discuss high-throughput technologies used to probe vaccine-induced responses, along with data analysis and computational methodologies applied to the predictive modeling of vaccine efficacy.
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Affiliation(s)
- Matthieu Van Tilbeurgh
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Katia Lemdani
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Anne-Sophie Beignon
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Catherine Chapon
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Nicolas Tchitchek
- Unité de Recherche i3, Inserm UMR-S 959, Bâtiment CERVI, Hôpital de la Pitié-Salpêtrière, 75013 Paris, France;
| | - Lina Cheraitia
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Ernesto Marcos Lopez
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Quentin Pascal
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Roger Le Grand
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Pauline Maisonnasse
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
| | - Caroline Manet
- Immunology of Viral Infections and Autoimmune Diseases (IMVA), IDMIT Department, Institut de Biologie François-Jacob (IBJF), University Paris-Sud—INSERM U1184, CEA, 92265 Fontenay-Aux-Roses, France; (M.V.T.); (K.L.); (A.-S.B.); (C.C.); (L.C.); (E.M.L.); (Q.P.); (R.L.G.); (P.M.)
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75
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Shor RE, Dai J, Lee SY, Pisarsky L, Matei I, Lucotti S, Lyden D, Bissell MJ, Ghajar CM. The PI3K/mTOR inhibitor Gedatolisib eliminates dormant breast cancer cells in organotypic culture, but fails to prevent metastasis in preclinical settings. Mol Oncol 2021; 16:130-147. [PMID: 34058066 PMCID: PMC8732345 DOI: 10.1002/1878-0261.13031] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 03/31/2021] [Accepted: 05/28/2021] [Indexed: 02/06/2023] Open
Abstract
Dormant, disseminated tumor cells (DTCs) are thought to be the source of breast cancer metastases several years or even decades after initial treatment. To date, a selective therapy that leads to their elimination has not been discovered. While dormant DTCs resist chemotherapy, evidence suggests that this resistance is driven not by their lack of proliferation, but by their engagement of the surrounding microenvironment, via integrin‐β1‐mediated interactions. Because integrin‐β1‐targeted agents have not been translated readily to the clinic, signaling nodes downstream of integrin‐β1 could serve as attractive therapeutic targets in order to sensitize dormant DTCs to therapy. By probing a number of kinases downstream of integrin‐β1, we determined that PI3K inhibition with either a tool compounds or a compound (PF‐05212384; aka Gedatolisib) in clinical trials robustly sensitizes quiescent breast tumor cells seeded in organotypic bone marrow cultures to chemotherapy. These results motivated the preclinical study of whether Gedatolisib—with or without genotoxic therapy—would reduce DTC burden and prevent metastases. Despite promising results in organotypic culture, Gedatolisib failed to reduce DTC burden or delay, reduce or prevent metastasis in murine models of either triple‐negative or estrogen receptor‐positive breast cancer dissemination and metastasis. This result held true whether analyzing Gedatolisib on its own (vs. vehicle‐treated animals) or in combination with dose‐dense doxorubicin and cyclophosphamide (vs. animals treated only with dose‐dense chemotherapies). These data suggest that PI3K is not the node downstream of integrin‐β1 that confers chemotherapeutic resistance to DTCs. More broadly, they cast doubt on the strategy to target PI3K in order to eliminate DTCs and prevent breast cancer metastasis.
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Affiliation(s)
- Ryann E Shor
- Public Health Sciences Division/Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jinxiang Dai
- Public Health Sciences Division/Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sun-Young Lee
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, CA, USA
| | - Laura Pisarsky
- Public Health Sciences Division/Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Irina Matei
- Children's Cancer and Blood Foundation Laboratories, Department of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Serena Lucotti
- Children's Cancer and Blood Foundation Laboratories, Department of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - David Lyden
- Children's Cancer and Blood Foundation Laboratories, Department of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Mina J Bissell
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, CA, USA
| | - Cyrus M Ghajar
- Public Health Sciences Division/Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
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76
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Chen Y, Li X, Zhang D, Wang C, Feng R, Li X, Wen Y, Xu H, Zhang XS, Yang X, Chen Y, Feng Y, Zhou B, Chen BC, Lei K, Cai S, Jia JM, Gao L. A Versatile Tiling Light Sheet Microscope for Imaging of Cleared Tissues. Cell Rep 2021; 33:108349. [PMID: 33147464 DOI: 10.1016/j.celrep.2020.108349] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 08/13/2020] [Accepted: 10/13/2020] [Indexed: 01/14/2023] Open
Abstract
We present a tiling light sheet microscope compatible with all tissue clearing methods for rapid multicolor 3D imaging of cleared tissues with micron-scale (4 × 4 × 10 μm3) to submicron-scale (0.3 × 0.3 × 1 μm3) spatial resolution. The resolving ability is improved to sub-100 nm (70 × 70 × 200 nm3) via tissue expansion. The microscope uses tiling light sheets to achieve higher spatial resolution and better optical sectioning ability than conventional light sheet microscopes. The illumination light is phase modulated to adjust the position and intensity profile of the light sheet based on the desired spatial resolution and imaging speed and to keep the microscope aligned. The ability of the microscope to align via phase modulation alone also ensures its accuracy for multicolor 3D imaging and makes the microscope reliable and easy to operate. Here we describe the working principle and design of the microscope. We demonstrate its utility by imaging various cleared tissues.
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Affiliation(s)
- Yanlu Chen
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Xiaoliang Li
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Dongdong Zhang
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Chunhui Wang
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Ruili Feng
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Xuzhao Li
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Yao Wen
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Hao Xu
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Xinyi Shirley Zhang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Xiao Yang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Yongyi Chen
- Department of Clinical laboratory, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310000, China
| | - Yi Feng
- Department of Integrative Medicine and Neurobiology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Bo Zhou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Bi-Chang Chen
- Research Center for Applied Sciences, Academia Sinica, Taipei 11529, Taiwan
| | - Kai Lei
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Shang Cai
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China.
| | - Jie-Min Jia
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China.
| | - Liang Gao
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China.
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77
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McGinnis LM, Ibarra-Lopez V, Rost S, Ziai J. Clinical and research applications of multiplexed immunohistochemistry and in situ hybridization. J Pathol 2021; 254:405-417. [PMID: 33723864 DOI: 10.1002/path.5663] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 03/02/2021] [Accepted: 03/05/2021] [Indexed: 12/28/2022]
Abstract
Over the past decade, invention and adoption of novel multiplexing technologies for tissues have made increasing impacts in basic and translational research and, to a lesser degree, clinical medicine. Platforms capable of highly multiplexed immunohistochemistry or in situ RNA measurements promise evaluation of protein or RNA targets at levels of plex and sensitivity logs above traditional methods - all with preservation of spatial context. These methods promise objective biomarker quantification, markedly increased sensitivity, and single-cell resolution. Increasingly, development of novel technologies is enabling multi-omic interrogations with spatial correlation of RNA and protein expression profiles in the same sample. Such sophisticated methods will provide unprecedented insights into tissue biology, biomarker science, and, ultimately, patient health. However, this sophistication comes at significant cost, requiring extensive time, practical knowledge, and resources to implement. This review will describe the technical features, advantages, and limitations of currently available multiplexed immunohistochemistry and spatial transcriptomic platforms. © 2021 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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Affiliation(s)
- Lisa M McGinnis
- Department of Research Pathology, Genentech, Inc, South San Francisco, CA, USA
| | | | - Sandra Rost
- Department of Research Pathology, Genentech, Inc, South San Francisco, CA, USA
| | - James Ziai
- Department of Research Pathology, Genentech, Inc, South San Francisco, CA, USA
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78
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Ferkowicz MJ, Winfree S, Sabo AR, Kamocka MM, Khochare S, Barwinska D, Eadon MT, Cheng YH, Phillips CL, Sutton TA, Kelly KJ, Dagher PC, El-Achkar TM, Dunn KW. Large-scale, three-dimensional tissue cytometry of the human kidney: a complete and accessible pipeline. J Transl Med 2021; 101:661-676. [PMID: 33408350 PMCID: PMC8363780 DOI: 10.1038/s41374-020-00518-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 11/05/2020] [Accepted: 11/07/2020] [Indexed: 02/08/2023] Open
Abstract
The advent of personalized medicine has driven the development of novel approaches for obtaining detailed cellular and molecular information from clinical tissue samples. Tissue cytometry is a promising new technique that can be used to enumerate and characterize each cell in a tissue and, unlike flow cytometry and other single-cell techniques, does so in the context of the intact tissue, preserving spatial information that is frequently crucial to understanding a cell's physiology, function, and behavior. However, the wide-scale adoption of tissue cytometry as a research tool has been limited by the fact that published examples utilize specialized techniques that are beyond the capabilities of most laboratories. Here we describe a complete and accessible pipeline, including methods of sample preparation, microscopy, image analysis, and data analysis for large-scale three-dimensional tissue cytometry of human kidney tissues. In this workflow, multiphoton microscopy of unlabeled tissue is first conducted to collect autofluorescence and second-harmonic images. The tissue is then labeled with eight fluorescent probes, and imaged using spectral confocal microscopy. The raw 16-channel images are spectrally deconvolved into 8-channel images, and analyzed using the Volumetric Tissue Exploration and Analysis (VTEA) software developed by our group. We applied this workflow to analyze millimeter-scale tissue samples obtained from human nephrectomies and from renal biopsies from individuals diagnosed with diabetic nephropathy, generating a quantitative census of tens of thousands of cells in each. Such analyses can provide useful insights that can be linked to the biology or pathology of kidney disease. The approach utilizes common laboratory techniques, is compatible with most commercially-available confocal microscope systems and all image and data analysis is conducted using the VTEA image analysis software, which is available as a plug-in for ImageJ.
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Affiliation(s)
- Michael J Ferkowicz
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Seth Winfree
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Angela R Sabo
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Malgorzata M Kamocka
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Suraj Khochare
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Daria Barwinska
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Michael T Eadon
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Ying-Hua Cheng
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Carrie L Phillips
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Division of Pathology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Timothy A Sutton
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Katherine J Kelly
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Pierre C Dagher
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Tarek M El-Achkar
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
| | - Kenneth W Dunn
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
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79
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Shaker MR, Lee JH, Sun W. Embryonal Neuromesodermal Progenitors for Caudal Central Nervous System and Tissue Development. J Korean Neurosurg Soc 2021; 64:359-366. [PMID: 33896149 PMCID: PMC8128519 DOI: 10.3340/jkns.2020.0359] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/08/2021] [Accepted: 01/28/2021] [Indexed: 01/20/2023] Open
Abstract
Neuromesodermal progenitors (NMPs) constitute a bipotent cell population that generates a wide variety of trunk cell and tissue types during embryonic development. Derivatives of NMPs include both mesodermal lineage cells such as muscles and vertebral bones, and neural lineage cells such as neural crests and central nervous system neurons. Such diverse lineage potential combined with a limited capacity for self-renewal, which persists during axial elongation, demonstrates that NMPs are a major source of trunk tissues. This review describes the identification and characterization of NMPs across multiple species. We also discuss key cellular and molecular steps for generating neural and mesodermal cells for building up the elongating trunk tissue.
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Affiliation(s)
- Mohammed R. Shaker
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Queensland, Australia
| | - Ju-Hyun Lee
- Department of Anatomy, Brain Korea 21 Plus Program for Biomedical Science, Korea University College of Medicine, Seoul, Korea
| | - Woong Sun
- Department of Anatomy, Brain Korea 21 Plus Program for Biomedical Science, Korea University College of Medicine, Seoul, Korea
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80
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Kennedy‐Darling J, Bhate SS, Hickey JW, Black S, Barlow GL, Vazquez G, Venkataraaman VG, Samusik N, Goltsev Y, Schürch CM, Nolan GP. Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction. Eur J Immunol 2021; 51:1262-1277. [PMID: 33548142 PMCID: PMC8251877 DOI: 10.1002/eji.202048891] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 11/21/2020] [Accepted: 02/04/2021] [Indexed: 01/04/2023]
Abstract
Multiparameter tissue imaging enables analysis of cell-cell interactions in situ, the cellular basis for tissue structure, and novel cell types that are spatially restricted, giving clues to biological mechanisms behind tissue homeostasis and disease. Here, we streamlined and simplified the multiplexed imaging method CO-Detection by indEXing (CODEX) by validating 58 unique oligonucleotide barcodes that can be conjugated to antibodies. We showed that barcoded antibodies retained their specificity for staining cognate targets in human tissue. Antibodies were visualized one at a time by adding a fluorescently labeled oligonucleotide complementary to oligonucleotide barcode, imaging, stripping, and repeating this cycle. With this we developed a panel of 46 antibodies that was used to stain five human lymphoid tissues: three tonsils, a spleen, and a LN. To analyze the data produced, an image processing and analysis pipeline was developed that enabled single-cell analysis on the data, including unsupervised clustering, that revealed 31 cell types across all tissues. We compared cell-type compositions within and directly surrounding follicles from the different lymphoid organs and evaluated cell-cell density correlations. This sequential oligonucleotide exchange technique enables a facile imaging of tissues that leverages pre-existing imaging infrastructure to decrease the barriers to broad use of multiplexed imaging.
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Affiliation(s)
- Julia Kennedy‐Darling
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Akoya Biosciences1505 O'Brien DriveMenlo ParkCAUSA
| | - Salil S. Bhate
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Department of PathologyStanford University School of MedicineStanfordCAUSA
- Department of BioengineeringStanford UniversityStanfordCAUSA
| | - John W. Hickey
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Sarah Black
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Graham L. Barlow
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Gustavo Vazquez
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Vishal G. Venkataraaman
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Nikolay Samusik
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Becton DickinsonSan JoseCAUSA
| | - Yury Goltsev
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Christian M. Schürch
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Department of PathologyStanford University School of MedicineStanfordCAUSA
- Department of Pathology and NeuropathologyUniversity Hospital and Comprehensive Cancer Center TübingenTübingenGermany
| | - Garry P. Nolan
- Department of Microbiology & ImmunologyStanford University School of MedicineStanfordCAUSA
- Department of PathologyStanford University School of MedicineStanfordCAUSA
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81
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Gilmore AC, Flaherty SJ, Somasundaram V, Scheiblin DA, Lockett SJ, Wink DA, Heinz WF. An in vitro tumorigenesis model based on live-cell-generated oxygen and nutrient gradients. Commun Biol 2021; 4:477. [PMID: 33859337 PMCID: PMC8050328 DOI: 10.1038/s42003-021-01954-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 03/02/2021] [Indexed: 01/06/2023] Open
Abstract
The tumor microenvironment (TME) is multi-cellular, spatially heterogenous, and contains cell-generated gradients of soluble molecules. Current cell-based model systems lack this complexity or are difficult to interrogate microscopically. We present a 2D live-cell chamber that approximates the TME and demonstrate that breast cancer cells and macrophages generate hypoxic and nutrient gradients, self-organize, and have spatially varying phenotypes along the gradients, leading to new insights into tumorigenesis.
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Affiliation(s)
- Anne C Gilmore
- Optical Microscopy and Analysis Laboratory, Office of Science and Technology Resources, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
- Graduate School of Biomedical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Sarah J Flaherty
- Optical Microscopy and Analysis Laboratory, Office of Science and Technology Resources, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Veena Somasundaram
- Laboratory of Cancer Immunometabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - David A Scheiblin
- Optical Microscopy and Analysis Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Stephen J Lockett
- Optical Microscopy and Analysis Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - David A Wink
- Laboratory of Cancer Immunometabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - William F Heinz
- Optical Microscopy and Analysis Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
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82
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Duckworth BC, Lafouresse F, Wimmer VC, Broomfield BJ, Dalit L, Alexandre YO, Sheikh AA, Qin RZ, Alvarado C, Mielke LA, Pellegrini M, Mueller SN, Boudier T, Rogers KL, Groom JR. Effector and stem-like memory cell fates are imprinted in distinct lymph node niches directed by CXCR3 ligands. Nat Immunol 2021; 22:434-448. [PMID: 33649580 DOI: 10.1038/s41590-021-00878-5] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 01/14/2021] [Indexed: 02/07/2023]
Abstract
T cells dynamically interact with multiple, distinct cellular subsets to determine effector and memory differentiation. Here, we developed a platform to quantify cell location in three dimensions to determine the spatial requirements that direct T cell fate. After viral infection, we demonstrated that CD8+ effector T cell differentiation is associated with positioning at the lymph node periphery. This was instructed by CXCR3 signaling since, in its absence, T cells are confined to the lymph node center and alternatively differentiate into stem-like memory cell precursors. By mapping the cellular sources of CXCR3 ligands, we demonstrated that CXCL9 and CXCL10 are expressed by spatially distinct dendritic and stromal cell subsets. Unlike effector cells, retention of stem-like memory precursors in the paracortex is associated with CCR7 expression. Finally, we demonstrated that T cell location can be tuned, through deficiency in CXCL10 or type I interferon signaling, to promote effector or stem-like memory fates.
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MESH Headings
- Animals
- Arenaviridae Infections/genetics
- Arenaviridae Infections/immunology
- Arenaviridae Infections/metabolism
- Arenaviridae Infections/virology
- CD8-Positive T-Lymphocytes/immunology
- CD8-Positive T-Lymphocytes/metabolism
- CD8-Positive T-Lymphocytes/virology
- Cell Differentiation
- Cell Lineage
- Cells, Cultured
- Chemokine CXCL10/genetics
- Chemokine CXCL10/metabolism
- Chemokine CXCL9/genetics
- Chemokine CXCL9/metabolism
- Chemotaxis, Leukocyte
- Dendritic Cells/immunology
- Dendritic Cells/metabolism
- Disease Models, Animal
- Host-Pathogen Interactions
- Immunologic Memory
- Interferon Type I/metabolism
- Ligands
- Lymph Nodes/immunology
- Lymph Nodes/metabolism
- Lymph Nodes/virology
- Lymphocytic choriomeningitis virus/immunology
- Lymphocytic choriomeningitis virus/pathogenicity
- Mice, Inbred C57BL
- Mice, Knockout
- Phenotype
- Precursor Cells, T-Lymphoid/immunology
- Precursor Cells, T-Lymphoid/metabolism
- Precursor Cells, T-Lymphoid/virology
- Receptor, Interferon alpha-beta/genetics
- Receptor, Interferon alpha-beta/metabolism
- Receptors, CCR7/metabolism
- Receptors, CXCR3/genetics
- Receptors, CXCR3/metabolism
- Signal Transduction
- Stem Cell Niche
- Stromal Cells/immunology
- Stromal Cells/metabolism
- Mice
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Affiliation(s)
- Brigette C Duckworth
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia.
| | - Fanny Lafouresse
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
- Centre de Recherches en Cancérologie de Toulouse, INSERM U1037, Equipe Labellisée Ligue Nationale Contre le Cancer, Université de Toulouse III-Paul Sabatier, Toulouse, France
| | - Verena C Wimmer
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
- Centre for Dynamic Imaging, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Benjamin J Broomfield
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Lennard Dalit
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Yannick O Alexandre
- Department of Microbiology and Immunology, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Amania A Sheikh
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Raymond Z Qin
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Carolina Alvarado
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Lisa A Mielke
- Olivia Newton-John Cancer Research Institute, La Trobe University School of Cancer Medicine, Heidelberg, Victoria, Australia
| | - Marc Pellegrini
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
- Division of Infection and Immunity, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Scott N Mueller
- Department of Microbiology and Immunology, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- The Australian Research Council Centre of Excellence in Advanced Molecular Imaging, The University of Melbourne, Melbourne, Victoria, Australia
| | - Thomas Boudier
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
- Centre for Dynamic Imaging, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Sorbonne Université, Paris, France
| | - Kelly L Rogers
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
- Centre for Dynamic Imaging, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Joanna R Groom
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia.
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83
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Mutation in the Ciliary Protein C2CD3 Reveals Organ-Specific Mechanisms of Hedgehog Signal Transduction in Avian Embryos. J Dev Biol 2021; 9:jdb9020012. [PMID: 33805906 PMCID: PMC8103285 DOI: 10.3390/jdb9020012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 03/19/2021] [Accepted: 03/22/2021] [Indexed: 12/22/2022] Open
Abstract
Primary cilia are ubiquitous microtubule-based organelles that serve as signaling hubs for numerous developmental pathways, most notably the Hedgehog (Hh) pathway. Defects in the structure or function of primary cilia result in a class of diseases called ciliopathies. It is well known that primary cilia participate in transducing a Hh signal, and as such ciliopathies frequently present with phenotypes indicative of aberrant Hh function. Interestingly, the exact mechanisms of cilia-dependent Hh signaling transduction are unclear as some ciliopathic animal models simultaneously present with gain-of-Hh phenotypes in one organ system and loss-of-Hh phenotypes in another. To better understand how Hh signaling is perturbed across different tissues in ciliopathic conditions, we examined four distinct Hh-dependent signaling centers in the naturally occurring avian ciliopathic mutant talpid2 (ta2). In addition to the well-known and previously reported limb and craniofacial malformations, we observed dorsal-ventral patterning defects in the neural tube, and a shortened gastrointestinal tract. Molecular analyses for elements of the Hh pathway revealed that the loss of cilia impact transduction of an Hh signal in a tissue-specific manner at variable levels of the pathway. These studies will provide increased knowledge into how impaired ciliogenesis differentially regulates Hh signaling across tissues and will provide potential avenues for future targeted therapeutic treatments.
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84
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3D Model Characterization by 2D and 3D Imaging in t(14;18)-Positive B-NHL: Perspectives for In Vitro Drug Screens in Follicular Lymphoma. Cancers (Basel) 2021; 13:cancers13071490. [PMID: 33804934 PMCID: PMC8036410 DOI: 10.3390/cancers13071490] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/05/2021] [Accepted: 03/06/2021] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Follicular lymphoma is an indolent B cell lymphoproliferative disorder of transformed follicular center B cells, which accounts for 20–30 percent of all non-Hodgkin lymphoma (NHL) cases. Although huge efforts have been made in the last 10 years, this pathology is still considered as incurable, leaving open the discovery and testing of new therapeutic targets requiring relevant preclinical models. Here, we report a realistic 3D model of t (14;18)-positive B-NHL cell culture (ultra-low attachment (ULA)-multicellular aggregates of lymphoma cells (MALC)), which monitored by state-of-the-art 2D and 3D imaging, allows more robust drug testing. Abstract Follicular lymphoma (FL) is an indolent B cell lymphoproliferative disorder of transformed follicular center B cells, which accounts for 20–30 percent of all non-Hodgkin lymphoma (NHL) cases. Great advances have been made to identify the most relevant targets for precision therapy. However, no relevant models for in vitro studies have been developed or characterized in depth. To this purpose, we generated a 3D cell model from t(14;18)-positive B-NHL cell lines cultured in ultra-low attachment 96-well plates. Morphological features and cell growth behavior were evaluated by classical microscopy (2D imaging) and response to treatment with different drugs was evaluated by a high-content analysis system to determine the robustness of the model. We show that the ultra-low attachment (ULA) method allows the development of regular, spherical and viable ULA-multicellular aggregates of lymphoma cells (MALC). However, discrepancies in the results obtained after 2D imaging analyses on drug-treated ULA-MALC prompted us to develop 3D imaging and specific analyses. We show by using light sheet microscopy and specifically developed 3D imaging algorithms that 3D imaging and dedicated analyses are necessary to characterize morphological properties of 3D models and drug effects. This study proposes a new method, but also imaging tools and informatic solutions, developed for FL necessary for future preclinical studies.
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85
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Abstract
Advanced optical methods combined with various probes pave the way toward molecular imaging within living cells. However, major challenges are associated with the need to enhance the imaging resolution even further to the subcellular level for the imaging of larger tissues, as well as for in vivo studies. High scattering and absorption of opaque tissues limit the penetration of light into deep tissues and thus the optical imaging depth. Tissue optical clearing technique provides an innovative way to perform deep-tissue imaging. Recently, various optical clearing methods have been developed, which provide tissue clearing based on similar physical principles via different chemical approaches. Here, we introduce the mechanisms of the current clearing methods from fundamental physical and chemical perspectives, including the main physical principle, refractive index matching via various chemical approaches, such as dissociation of collagen, delipidation, decalcification, dehydration, and hyperhydration, to reduce scattering, as well as decolorization to reduce absorption.
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Affiliation(s)
- Tingting Yu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Jingtan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Dongyu Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
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86
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Pincus AB, Fryer AD, Jacoby DB. Mini review: Neural mechanisms underlying airway hyperresponsiveness. Neurosci Lett 2021; 751:135795. [PMID: 33667601 DOI: 10.1016/j.neulet.2021.135795] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/22/2021] [Accepted: 02/23/2021] [Indexed: 12/25/2022]
Abstract
Neural changes underly hyperresponsiveness in asthma and other airway diseases. Afferent sensory nerves, nerves within the brainstem, and efferent parasympathetic nerves all contribute to airway hyperresponsiveness. Inflammation plays a critical role in these nerve changes. Chronic inflammation and pre-natal exposures lead to increased airway innervation and structural changes. Acute inflammation leads to shifts in neurotransmitter expression of afferent nerves and dysfunction of M2 muscarinic receptors on efferent nerve endings. Eosinophils and macrophages drive these changes through release of inflammatory mediators. Novel tools, including optogenetics, two photon microscopy, and optical clearing and whole mount microscopy, allow for improved studies of the structure and function of airway nerves and airway hyperresponsiveness.
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Affiliation(s)
- Alexandra B Pincus
- Oregon Health and Science University, 3181 SW Sam Jackson Park Road, BRB 440, Portland, OR, 97239, USA.
| | - Allison D Fryer
- Oregon Health and Science University, 3181 SW Sam Jackson Park Road, BRB 440, Portland, OR, 97239, USA
| | - David B Jacoby
- Oregon Health and Science University, 3181 SW Sam Jackson Park Road, BRB 440, Portland, OR, 97239, USA
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87
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Stolley JM, Johnston TS, Soerens AG, Beura LK, Rosato PC, Joag V, Wijeyesinghe SP, Langlois RA, Osum KC, Mitchell JS, Masopust D. Retrograde migration supplies resident memory T cells to lung-draining LN after influenza infection. J Exp Med 2021; 217:151876. [PMID: 32568362 PMCID: PMC7398169 DOI: 10.1084/jem.20192197] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 03/20/2020] [Accepted: 05/12/2020] [Indexed: 01/06/2023] Open
Abstract
Numerous observations indicate that resident memory T cells (TRM) undergo unusually rapid attrition within the lung. Here we demonstrate that contraction of lung CD8+ T cell responses after influenza infection is contemporized with egress of CD69+/CD103+ CD8+ T cells to the draining mediastinal LN via the lymphatic vessels, which we term retrograde migration. Cells within the draining LN retained canonical markers of lung TRM, including CD103 and CD69, lacked Ly6C expression (also a feature of lung TRM), maintained granzyme B expression, and did not equilibrate among immunized parabiotic mice. Investigations of bystander infection or removal of the TCR from established memory cells revealed that the induction of the TRM phenotype was dependent on antigen recognition; however, maintenance was independent. Thus, local lung infection induces CD8+ T cells with a TRM phenotype that nevertheless undergo retrograde migration, yet remain durably committed to the residency program within the draining LN, where they provide longer-lived regional memory while chronicling previous upstream antigen experiences.
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Affiliation(s)
- J Michael Stolley
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN.,Center for Immunology, University of Minnesota, Minneapolis, MN
| | - Timothy S Johnston
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN.,Center for Immunology, University of Minnesota, Minneapolis, MN
| | - Andrew G Soerens
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN.,Center for Immunology, University of Minnesota, Minneapolis, MN
| | - Lalit K Beura
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN.,Center for Immunology, University of Minnesota, Minneapolis, MN.,Department of Microbiology and Immunology, Brown University, Providence, RI
| | - Pamela C Rosato
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN.,Center for Immunology, University of Minnesota, Minneapolis, MN
| | - Vineet Joag
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN.,Center for Immunology, University of Minnesota, Minneapolis, MN
| | - Sathi P Wijeyesinghe
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN.,Center for Immunology, University of Minnesota, Minneapolis, MN
| | - Ryan A Langlois
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN.,Center for Immunology, University of Minnesota, Minneapolis, MN
| | - Kevin C Osum
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN.,Center for Immunology, University of Minnesota, Minneapolis, MN
| | - Jason S Mitchell
- Center for Immunology, University of Minnesota, Minneapolis, MN.,Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - David Masopust
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN.,Center for Immunology, University of Minnesota, Minneapolis, MN
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88
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Dawson CA, Visvader JE. The Cellular Organization of the Mammary Gland: Insights From Microscopy. J Mammary Gland Biol Neoplasia 2021; 26:71-85. [PMID: 33835387 DOI: 10.1007/s10911-021-09483-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 03/25/2021] [Indexed: 12/19/2022] Open
Abstract
Despite rapid advances in our knowledge of the cellular heterogeneity and molecular regulation of the mammary gland, how these relate to 3D cellular organization remains unclear. In addition to hormonal regulation, mammary gland development and function is directed by para- and juxtacrine signaling among diverse cell-types, particularly the immune and mesenchymal populations. Precise mapping of the cellular landscape of the breast will help to decipher this complex coordination. Imaging of thin tissue sections has provided foundational information about cell positioning in the mammary gland and now technological advances in tissue clearing and subcellular-resolution 3D imaging are painting a more complete picture. In particular, confocal, light-sheet and multiphoton microscopy applied to intact tissue can fully capture cell morphology, position and interactions, and have the power to identify spatially rare events. This review will summarize our current understanding of mammary gland cellular organization as revealed by microscopy. We focus on the mouse mammary gland and cover a broad range of immune and stromal cell types at major developmental stages and give insights into important tissue niches and cellular interactions.
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Affiliation(s)
- Caleb A Dawson
- Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, 3052, Parkville, VIC, Australia.
- Department of Medical Biology, The University of Melbourne, 3010, Parkville, VIC, Australia.
| | - Jane E Visvader
- Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, 3052, Parkville, VIC, Australia
- Department of Medical Biology, The University of Melbourne, 3010, Parkville, VIC, Australia
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89
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Bonatto Paese CL, Brooks EC, Aarnio-Peterson M, Brugmann SA. Ciliopathic micrognathia is caused by aberrant skeletal differentiation and remodeling. Development 2021; 148:148/4/dev194175. [PMID: 33589509 DOI: 10.1242/dev.194175] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 01/13/2021] [Indexed: 12/16/2022]
Abstract
Ciliopathies represent a growing class of diseases caused by defects in microtubule-based organelles called primary cilia. Approximately 30% of ciliopathies are characterized by craniofacial phenotypes such as craniosynostosis, cleft lip/palate and micrognathia. Patients with ciliopathic micrognathia experience a particular set of difficulties, including impaired feeding and breathing, and have extremely limited treatment options. To understand the cellular and molecular basis for ciliopathic micrognathia, we used the talpid2 (ta2 ), a bona fide avian model for the human ciliopathy oral-facial-digital syndrome subtype 14. Histological analyses revealed that the onset of ciliopathic micrognathia in ta2 embryos occurred at the earliest stages of mandibular development. Neural crest-derived skeletal progenitor cells were particularly sensitive to a ciliopathic insult, undergoing unchecked passage through the cell cycle and subsequent increased proliferation. Furthermore, whereas neural crest-derived skeletal differentiation was initiated, osteoblast maturation failed to progress to completion. Additional molecular analyses revealed that an imbalance in the ratio of bone deposition and resorption also contributed to ciliopathic micrognathia in ta2 embryos. Thus, our results suggest that ciliopathic micrognathia is a consequence of multiple aberrant cellular processes necessary for skeletal development, and provide potential avenues for future therapeutic treatments.
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Affiliation(s)
- Christian Louis Bonatto Paese
- Division of Developmental Biology, Department of Pediatrics Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.,Division of Plastic Surgery, Department of Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Evan C Brooks
- Division of Developmental Biology, Department of Pediatrics Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.,Division of Plastic Surgery, Department of Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Megan Aarnio-Peterson
- Division of Developmental Biology, Department of Pediatrics Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.,Division of Plastic Surgery, Department of Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Samantha A Brugmann
- Division of Developmental Biology, Department of Pediatrics Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA .,Division of Plastic Surgery, Department of Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.,Shriners Children's Hospital, Cincinnati, OH 45229, USA
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90
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Tian T, Yang Z, Li X. Tissue clearing technique: Recent progress and biomedical applications. J Anat 2021; 238:489-507. [PMID: 32939792 PMCID: PMC7812135 DOI: 10.1111/joa.13309] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 04/19/2020] [Accepted: 08/24/2020] [Indexed: 02/03/2023] Open
Abstract
Organisms are inherently three dimensional, thus comprehensive understanding of the complicated biological system requires analysis of organs or even whole bodies in the context of three dimensions. However, this is a tremendous task since the biological specimens are naturally opaque, a major obstacle in whole-body and whole-organ imaging. Tissue clearing technique provides a prospective solution and has become a powerful tool for three-dimensional imaging and quantification of organisms. Tissue clearing technique aims to make tissue transparent by minimizing light scattering and light absorption, thus allowing deep imaging of large volume samples. When combined with diverse molecular labeling methods and high-throughput optical sectioning microscopes, tissue clearing technique enables whole-body and whole-organ imaging at cellular or subcellular resolution, providing detailed and comprehensive information about the intact biological systems. Here, we give an overview of recent progress and biomedical applications of tissue clearing technique. We introduce the mechanisms and basic principles of tissue clearing, and summarize the current tissue clearing methods. Moreover, the available imaging techniques and software packages for data processing are also presented. Finally, we introduce the recent advances in applications of tissue clearing in biomedical fields. Tissue clearing contributes to the investigation of structure-function relationships in intact mammalian organs, and opens new avenues for cellular and molecular mapping of intact human organs. We hope this review contributes to a better understanding of tissue clearing technique and can help researchers to select the best-suited clearing protocol for their experiments.
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Affiliation(s)
- Ting Tian
- Beijing Key Laboratory for Biomaterials and Neural RegenerationSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina
| | - Zhaoyang Yang
- Department of NeurobiologySchool of Basic Medical SciencesCapital Medical UniversityBeijingChina,Beijing International Cooperation Bases for Science and Technology on Biomaterials and Neural RegenerationBeijing Advanced Innovation Center for Biomedical EngineeringBeihang UniversityBeijingChina
| | - Xiaoguang Li
- Beijing Key Laboratory for Biomaterials and Neural RegenerationSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina,Department of NeurobiologySchool of Basic Medical SciencesCapital Medical UniversityBeijingChina,Beijing International Cooperation Bases for Science and Technology on Biomaterials and Neural RegenerationBeijing Advanced Innovation Center for Biomedical EngineeringBeihang UniversityBeijingChina
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91
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Hofmann J, Gadjalova I, Mishra R, Ruland J, Keppler SJ. Efficient Tissue Clearing and Multi-Organ Volumetric Imaging Enable Quantitative Visualization of Sparse Immune Cell Populations During Inflammation. Front Immunol 2021; 11:599495. [PMID: 33569052 PMCID: PMC7869862 DOI: 10.3389/fimmu.2020.599495] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 12/04/2020] [Indexed: 12/19/2022] Open
Abstract
Spatial information of cells in their tissue microenvironment is necessary to understand the complexity of pathophysiological processes. Volumetric imaging of cleared organs provides this information; however, current protocols are often elaborate, expensive, and organ specific. We developed a simplified, cost-effective, non-hazardous approach for efficient tissue clearing and multi-organ volumetric imaging (EMOVI). EMOVI enabled multiplexed antibody-based immunolabeling, provided adequate tissue transparency, maintained cellular morphology and preserved fluorochromes. Exemplarily, EMOVI allowed the detection and quantification of scarce cell populations during pneumonitis. EMOVI also permitted histo-cytometric analysis of MHC-II expressing cells, revealing distinct populations surrounding or infiltrating glomeruli of nephritic kidneys. Using EMOVI, we found widefield microscopy with real-time computational clearing as a valuable option for rapid image acquisition and detection of rare cellular events in cleared organs. EMOVI has the potential to make tissue clearing and volumetric imaging of immune cells applicable for a broad audience by facilitating flexibility in organ, fluorochrome and microscopy usage.
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Affiliation(s)
- Julian Hofmann
- Institute for Clinical Chemistry and Pathobiochemistry, München rechts der Isar (MRI), Technical University Munich, Munich, Germany.,TranslaTUM, Center for Translational Cancer Research, Technische Universität München, München, Germany
| | - Iana Gadjalova
- Institute for Clinical Chemistry and Pathobiochemistry, München rechts der Isar (MRI), Technical University Munich, Munich, Germany.,TranslaTUM, Center for Translational Cancer Research, Technische Universität München, München, Germany
| | - Ritu Mishra
- Institute for Clinical Chemistry and Pathobiochemistry, München rechts der Isar (MRI), Technical University Munich, Munich, Germany.,TranslaTUM, Center for Translational Cancer Research, Technische Universität München, München, Germany
| | - Jürgen Ruland
- Institute for Clinical Chemistry and Pathobiochemistry, München rechts der Isar (MRI), Technical University Munich, Munich, Germany.,TranslaTUM, Center for Translational Cancer Research, Technische Universität München, München, Germany
| | - Selina J Keppler
- Institute for Clinical Chemistry and Pathobiochemistry, München rechts der Isar (MRI), Technical University Munich, Munich, Germany.,TranslaTUM, Center for Translational Cancer Research, Technische Universität München, München, Germany
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92
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The innate immune system in diabetic retinopathy. Prog Retin Eye Res 2021; 84:100940. [PMID: 33429059 DOI: 10.1016/j.preteyeres.2021.100940] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 12/24/2020] [Accepted: 01/03/2021] [Indexed: 12/20/2022]
Abstract
The prevalence of diabetes has been rising steadily in the past half-century, along with the burden of its associated complications, including diabetic retinopathy (DR). DR is currently the most common cause of vision loss in working-age adults in the United States. Historically, DR has been diagnosed and classified clinically based on what is visible by fundoscopy; that is vasculature alterations. However, recent technological advances have confirmed pathology of the neuroretina prior to any detectable vascular changes. These, coupled with molecular studies, and the positive impact of anti-inflammatory therapeutics in DR patients have highlighted the central involvement of the innate immune system. Reminiscent of the systemic impact of diabetes, immune dysregulation has become increasingly identified as a key element of the pathophysiology of DR by interfering with normal homeostatic systems. This review uses the growing body of literature across various model systems to demonstrate the clear involvement of all three pillars of the immune system: immune-competent cells, mediators, and the complement system. It also demonstrates how the relative contribution of each of these requires more extensive analysis, including in human tissues over the continuum of disease progression. Finally, although this review demonstrates how the complex interactions of the immune system pose many more questions than answers, the intimately connected nature of the three pillars of the immune system may also point to possible new targets to reverse or even halt reverse retinopathy.
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93
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Zhao J, Lai HM, Qi Y, He D, Sun H. Current Status of Tissue Clearing and the Path Forward in Neuroscience. ACS Chem Neurosci 2021; 12:5-29. [PMID: 33326739 DOI: 10.1021/acschemneuro.0c00563] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Due to the complexity and limited availability of human brain tissues, for decades, pathologists have sought to maximize information gained from individual samples, based on which (patho)physiological processes could be inferred. Recently, new understandings of chemical and physical properties of biological tissues and multiple chemical profiling have given rise to the development of scalable tissue clearing methods allowing superior optical clearing of across-the-scale samples. In the past decade, tissue clearing techniques, molecular labeling methods, advanced laser scanning microscopes, and data visualization and analysis have become commonplace. Combined, they have made 3D visualization of brain tissues with unprecedented resolution and depth widely accessible. To facilitate further advancements and applications, here we provide a critical appraisal of these techniques. We propose a classification system of current tissue clearing and expansion methods that allows users to judge the applicability of individual ones to their questions, followed by a review of the current progress in molecular labeling, optical imaging, and data processing to demonstrate the whole 3D imaging pipeline based on tissue clearing and downstream techniques for visualizing the brain. We also raise the path forward of tissue-clearing-based imaging technology, that is, integrating with state-of-the-art techniques, such as multiplexing protein imaging, in situ signal amplification, RNA detection and sequencing, super-resolution imaging techniques, multiomics studies, and deep learning, for drawing the complete atlas of the human brain and building a 3D pathology platform for central nervous system disorders.
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Affiliation(s)
- Jiajia Zhao
- Department of Neurosurgery, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China
- The Second Clinical Medical College, Southern Medical University, Guangzhou 510515, China
| | - Hei Ming Lai
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China
| | - Yuwei Qi
- Department of Neurosurgery, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China
- The Second Clinical Medical College, Southern Medical University, Guangzhou 510515, China
| | - Dian He
- Department of Neurosurgery, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China
- The Second Clinical Medical College, Southern Medical University, Guangzhou 510515, China
| | - Haitao Sun
- Department of Neurosurgery, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China
- The Second Clinical Medical College, Southern Medical University, Guangzhou 510515, China
- Microbiome Medicine Center, Department of Laboratory Medicine, Clinical Biobank Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
- Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Southern Medical University, Guangzhou 510515, China
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94
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IBEX: A versatile multiplex optical imaging approach for deep phenotyping and spatial analysis of cells in complex tissues. Proc Natl Acad Sci U S A 2020; 117:33455-33465. [PMID: 33376221 DOI: 10.1073/pnas.2018488117] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The diverse composition of mammalian tissues poses challenges for understanding the cell-cell interactions required for organ homeostasis and how spatial relationships are perturbed during disease. Existing methods such as single-cell genomics, lacking a spatial context, and traditional immunofluorescence, capturing only two to six molecular features, cannot resolve these issues. Imaging technologies have been developed to address these problems, but each possesses limitations that constrain widespread use. Here we report a method that overcomes major impediments to highly multiplex tissue imaging. "Iterative bleaching extends multiplexity" (IBEX) uses an iterative staining and chemical bleaching method to enable high-resolution imaging of >65 parameters in the same tissue section without physical degradation. IBEX can be employed with various types of conventional microscopes and permits use of both commercially available and user-generated antibodies in an "open" system to allow easy adjustment of staining panels based on ongoing marker discovery efforts. We show how IBEX can also be used with amplified staining methods for imaging strongly fixed tissues with limited epitope retention and with oligonucleotide-based staining, allowing potential cross-referencing between flow cytometry, cellular indexing of transcriptomes and epitopes by sequencing, and IBEX analysis of the same tissue. To facilitate data processing, we provide an open-source platform for automated registration of iterative images. IBEX thus represents a technology that can be rapidly integrated into most current laboratory workflows to achieve high-content imaging to reveal the complex cellular landscape of diverse organs and tissues.
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95
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Commensal-driven immune zonation of the liver promotes host defence. Nature 2020; 589:131-136. [PMID: 33239787 DOI: 10.1038/s41586-020-2977-2] [Citation(s) in RCA: 126] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 09/11/2020] [Indexed: 12/21/2022]
Abstract
The liver connects the intestinal portal vasculature with the general circulation, using a diverse array of immune cells to protect from pathogens that translocate from the gut1. In liver lobules, blood flows from portal triads that are situated in periportal lobular regions to the central vein via a polarized sinusoidal network. Despite this asymmetry, resident immune cells in the liver are considered to be broadly dispersed across the lobule. This differs from lymphoid organs, in which immune cells adopt spatially biased positions to promote effective host defence2,3. Here we used quantitative multiplex imaging, genetic perturbations, transcriptomics, infection-based assays and mathematical modelling to reassess the relationship between the localization of immune cells in the liver and host protection. We found that myeloid and lymphoid resident immune cells concentrate around periportal regions. This asymmetric localization was not developmentally controlled, but resulted from sustained MYD88-dependent signalling induced by commensal bacteria in liver sinusoidal endothelial cells, which in turn regulated the composition of the pericellular matrix involved in the formation of chemokine gradients. In vivo experiments and modelling showed that this immune spatial polarization was more efficient than a uniform distribution in protecting against systemic bacterial dissemination. Together, these data reveal that liver sinusoidal endothelial cells sense the microbiome, actively orchestrating the localization of immune cells, to optimize host defence.
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96
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Bekkouche BMB, Fritz HKM, Rigosi E, O'Carroll DC. Comparison of Transparency and Shrinkage During Clearing of Insect Brains Using Media With Tunable Refractive Index. Front Neuroanat 2020; 14:599282. [PMID: 33328907 PMCID: PMC7714936 DOI: 10.3389/fnana.2020.599282] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 10/26/2020] [Indexed: 11/26/2022] Open
Abstract
Improvement of imaging quality has the potential to visualize previously unseen building blocks of the brain and is therefore one of the great challenges in neuroscience. Rapid development of new tissue clearing techniques in recent years have attempted to solve imaging compromises in thick brain samples, particularly for high resolution optical microscopy, where the clearing medium needs to match the high refractive index of the objective immersion medium. These problems are exacerbated in insect tissue, where numerous (initially air-filled) tracheal tubes branching throughout the brain increase the scattering of light. To date, surprisingly few studies have systematically quantified the benefits of such clearing methods using objective transparency and tissue shrinkage measurements. In this study we compare a traditional and widely used insect clearing medium, methyl salicylate combined with permanent mounting in Permount (“MS/P”) with several more recently applied clearing media that offer tunable refractive index (n): 2,2′-thiodiethanol (TDE), “SeeDB2” (in variants SeeDB2S and SeeDB2G matched to oil and glycerol immersion, n = 1.52 and 1.47, respectively) and Rapiclear (also with n = 1.52 and 1.47). We measured transparency and tissue shrinkage by comparing freshly dissected brains with cleared brains from dipteran flies, with or without addition of vacuum or ethanol pre-treatments (dehydration and rehydration) to evacuate air from the tracheal system. The results show that ethanol pre-treatment is very effective for improving transparency, regardless of the subsequent clearing medium, while vacuum treatment offers little measurable benefit. Ethanol pre-treated SeeDB2G and Rapiclear brains show much less shrinkage than using the traditional MS/P method. Furthermore, at lower refractive index, closer to that of glycerol immersion, these recently developed media offer outstanding transparency compared to TDE and MS/P. Rapiclear protocols were less laborious compared to SeeDB2, but both offer sufficient transparency and refractive index tunability to permit super-resolution imaging of local volumes in whole mount brains from large insects, and even light-sheet microscopy. Although long-term permanency of Rapiclear stored samples remains to be established, our samples still showed good preservation of fluorescence after storage for more than a year at room temperature.
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Affiliation(s)
| | | | - Elisa Rigosi
- Department of Biology, Lund University, Lund, Sweden
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97
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Anderson MJ, Magidson V, Kageyama R, Lewandoski M. Fgf4 maintains Hes7 levels critical for normal somite segmentation clock function. eLife 2020; 9:55608. [PMID: 33210601 PMCID: PMC7717904 DOI: 10.7554/elife.55608] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 11/18/2020] [Indexed: 12/16/2022] Open
Abstract
During vertebrate development, the presomitic mesoderm (PSM) periodically segments into somites, which will form the segmented vertebral column and associated muscle, connective tissue, and dermis. The periodicity of somitogenesis is regulated by a segmentation clock of oscillating Notch activity. Here, we examined mouse mutants lacking only Fgf4 or Fgf8, which we previously demonstrated act redundantly to prevent PSM differentiation. Fgf8 is not required for somitogenesis, but Fgf4 mutants display a range of vertebral defects. We analyzed Fgf4 mutants by quantifying mRNAs fluorescently labeled by hybridization chain reaction within Imaris-based volumetric tissue subsets. These data indicate that FGF4 maintains Hes7 levels and normal oscillatory patterns. To support our hypothesis that FGF4 regulates somitogenesis through Hes7, we demonstrate genetic synergy between Hes7 and Fgf4, but not with Fgf8. Our data indicate that Fgf4 is potentially important in a spectrum of human Segmentation Defects of the Vertebrae caused by defective Notch oscillations.
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Affiliation(s)
- Matthew J Anderson
- Genetics of Vertebrate Development Section, Cancer and Developmental Biology Laboratory, National Cancer Institute, National Institutes of Health, Frederick, United States
| | - Valentin Magidson
- Optical Microscopy and Analysis Laboratory, Frederick National Laboratory for Cancer Research, Frederick, United States
| | - Ryoichiro Kageyama
- Institute for Frontier Life and Medical Sciences, Kyoto University, Kyoto, Japan
| | - Mark Lewandoski
- Genetics of Vertebrate Development Section, Cancer and Developmental Biology Laboratory, National Cancer Institute, National Institutes of Health, Frederick, United States
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98
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Boylan M, Anderson MJ, Ornitz DM, Lewandoski M. The Fgf8 subfamily (Fgf8, Fgf17 and Fgf18) is required for closure of the embryonic ventral body wall. Development 2020; 147:dev189506. [PMID: 32907848 PMCID: PMC7595690 DOI: 10.1242/dev.189506] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 08/28/2020] [Indexed: 12/26/2022]
Abstract
The closure of the embryonic ventral body wall in amniotes is an important morphogenetic event and is essential for life. Defects in human ventral wall closure are a major class of birth defect and a significant health burden. Despite this, very little is understood about how the ventral body wall is formed. Here, we show that fibroblast growth factor (FGF) ligands FGF8, FGF17 and FGF18 are essential for this process. Conditional mouse mutants for these genes display subtle migratory defects in the abdominal muscles of the ventral body wall and an enlarged umbilical ring, through which the internal organs are extruded. By refining where and when these genes are required using different Cre lines, we show that Fgf8 and Fgf17 are required in the presomitic mesoderm, whereas Fgf18 is required in the somites. This study identifies complex and multifactorial origins of ventral wall defects and has important implications for understanding their origins during embryonic development.
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Affiliation(s)
- Michael Boylan
- Cancer and Developmental Biology Lab, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, USA
| | - Matthew J Anderson
- Cancer and Developmental Biology Lab, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, USA
| | - David M Ornitz
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Mark Lewandoski
- Cancer and Developmental Biology Lab, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, USA
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99
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Dazzi M, Rowland EM, Mohri Z, Weinberg PD. 3D confocal microscope imaging of macromolecule uptake in the intact brachiocephalic artery. Atherosclerosis 2020; 310:93-101. [PMID: 32861514 PMCID: PMC7534415 DOI: 10.1016/j.atherosclerosis.2020.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 06/20/2020] [Accepted: 07/02/2020] [Indexed: 10/25/2022]
Abstract
BACKGROUND AND AIMS Elevated uptake of plasma macromolecules by the arterial wall is an early event in atherogenesis. Existing optical techniques for detecting macromolecular tracers in the wall have poor depth penetration and hence require en face imaging of flattened arterial segments. Imaging uptake in undistorted curved and branched vessels would be useful in understanding disease development. METHODS Depth penetration was increased by applying optical clearing techniques. The rat aorto-brachiocephalic junction was imaged intact by confocal microscopy after it had been exposed to circulating rhodamine-labelled albumin in vivo, fixed in situ, excised and then cleared with benzyl alcohol/benzyl benzoate. Tracer uptake was mapped onto a 3D surface mesh of the arterial geometry. RESULTS Tracer fluorescence was detectable throughout the wall closest to the objective lens and, despite a vessel diameter of c. 1 mm, in the wall on the other side of the artery, across the lumen. By tile scanning, tracer concentrations were mapped in the aorta, the brachiocephalic artery and their junction without opening or flattening either vessel. Optical clearing was also shown to be compatible with immunofluorescent staining and imaging of experimental atherosclerosis. CONCLUSIONS The technique obviates the need for labour-intensive sample preparation associated with standard en face imaging. More importantly, it preserves arterial geometry, facilitating co-localisation of uptake maps with maps of biomechanical factors, which typically exist on 3D surface meshes. It will permit the correlation of haemodynamic wall shear stress with macromolecule permeability more accurately in regions of high curvature or branching, such as in the coronary arteries.
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Affiliation(s)
- Marta Dazzi
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Ethan M Rowland
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Zahra Mohri
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Peter D Weinberg
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
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100
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Tian T, Li X. Applications of tissue clearing in the spinal cord. Eur J Neurosci 2020; 52:4019-4036. [DOI: 10.1111/ejn.14938] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 07/22/2020] [Accepted: 08/03/2020] [Indexed: 12/12/2022]
Affiliation(s)
- Ting Tian
- Beijing Key Laboratory for Biomaterials and Neural Regeneration School of Biological Science and Medical Engineering Beihang University Beijing China
| | - Xiaoguang Li
- Beijing Key Laboratory for Biomaterials and Neural Regeneration School of Biological Science and Medical Engineering Beihang University Beijing China
- Beijing International Cooperation Bases for Science and Technology on Biomaterials and Neural Regeneration Beijing Advanced Innovation Center for Biomedical Engineering Beihang University Beijing China
- Department of Neurobiology School of Basic Medical Sciences Capital Medical University Beijing China
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