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Bareham B, Dibble M, Parsons M. Defining and modeling dynamic spatial heterogeneity within tumor microenvironments. Curr Opin Cell Biol 2024; 90:102422. [PMID: 39216233 PMCID: PMC11846781 DOI: 10.1016/j.ceb.2024.102422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 08/05/2024] [Accepted: 08/07/2024] [Indexed: 09/04/2024]
Abstract
Many solid tumors exhibit significant genetic, cellular, and biophysical heterogeneity which dynamically evolves during disease progression and after treatment. This constant flux in cell composition, phenotype, spatial relationships, and tissue properties poses significant challenges in accurately diagnosing and treating patients. Much of the complexity lies in unraveling the molecular changes in different tumor compartments, how they influence one another in space and time and where vulnerabilities exist that might be appropriate to target therapeutically. Recent advances in spatial profiling tools and technologies are enabling new insight into the underlying biology of complex tumors, creating a greater understanding of the intricate relationship between cell types, states, and the microenvironment. Here we reflect on some recent discoveries in this area, where the key knowledge and technology gaps lie, and the advancements in spatial measurements and in vitro models for the study of spatial intratumoral heterogeneity.
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Affiliation(s)
- Bethany Bareham
- Randall Centre for Cell and Molecular Biophysics, King's College London, New Hunt's House, Guy's Campus, London, SE1 1UL, UK
| | - Matthew Dibble
- Randall Centre for Cell and Molecular Biophysics, King's College London, New Hunt's House, Guy's Campus, London, SE1 1UL, UK
| | - Maddy Parsons
- Randall Centre for Cell and Molecular Biophysics, King's College London, New Hunt's House, Guy's Campus, London, SE1 1UL, UK.
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2
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Frenkel N, Poghosyan S, van Wijnbergen JW, van den Bent L, Wiljer L, Verheem A, Borel Rinkes I, Kranenburg O, Hagendoorn J. Tissue clearing and immunostaining to visualize the spatial organization of vasculature and tumor cells in mouse liver. Front Oncol 2023; 13:1062926. [PMID: 37077833 PMCID: PMC10108913 DOI: 10.3389/fonc.2023.1062926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 03/06/2023] [Indexed: 03/30/2023] Open
Abstract
The liver has a complex and hierarchical segmental organization of arteries, portal veins, hepatic veins and lymphatic vessels. In-depth imaging of liver vasculature and malignancies could improve knowledge on tumor micro-environment, local tumor growth, invasion, as well as metastasis. Non-invasive imaging techniques such as computed tomography (CT), magnetic resonance imaging (MRI) and positron-emission transmission (PET) are routine for clinical imaging, but show inadequate resolution at cellular and subcellular level. In recent years, tissue clearing – a technique rendering tissues optically transparent allowing enhanced microscopy imaging – has made great advances. While mainly used in the neurobiology field, recently more studies have used clearing techniques for imaging other organ systems as well as tumor tissues. In this study, our aim was to develop a reproducible tissue clearing and immunostaining model for visualizing intrahepatic blood microvasculature and tumor cells in murine colorectal liver metastases. CLARITY and 3DISCO/iDISCO+ are two established clearing methods that have been shown to be compatible with immunolabelling, most often in neurobiology research. In this study, CLARITY unfortunately resulted in damaged tissue integrity of the murine liver lobes and no specific immunostaining. Using the 3DISCO/iDISCO+ method, liver samples were successfully rendered optically transparent. After which, successful immunostaining of the intrahepatic microvasculature using panendothelial cell antigen MECA-32 and colorectal cancer cells using epithelial cell adhesion molecule (EpCAM) was established. This approach for tumor micro-environment tissue clearing would be especially valuable for allowing visualization of spatial heterogeneity and complex interactions of tumor cells and their environment in future studies.
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Woo A, Botta A, Shi SSW, Paus T, Pausova Z. Obesity-Related Neuroinflammation: Magnetic Resonance and Microscopy Imaging of the Brain. Int J Mol Sci 2022; 23:8790. [PMID: 35955925 PMCID: PMC9368789 DOI: 10.3390/ijms23158790] [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: 07/17/2022] [Revised: 08/03/2022] [Accepted: 08/06/2022] [Indexed: 12/01/2022] Open
Abstract
Obesity is a major risk factor of Alzheimer's disease and related dementias. The principal feature of dementia is a loss of neurons and brain atrophy. The mechanistic links between obesity and the neurodegenerative processes of dementias are not fully understood, but recent research suggests that obesity-related systemic inflammation and subsequent neuroinflammation may be involved. Adipose tissues release multiple proinflammatory molecules (fatty acids and cytokines) that impact blood and vessel cells, inducing low-grade systemic inflammation that can transition to tissues, including the brain. Inflammation in the brain-neuroinflammation-is one of key elements of the pathobiology of neurodegenerative disorders; it is characterized by the activation of microglia, the resident immune cells in the brain, and by the structural and functional changes of other cells forming the brain parenchyma, including neurons. Such cellular changes have been shown in animal models with direct methods, such as confocal microscopy. In humans, cellular changes are less tangible, as only indirect methods such as magnetic resonance (MR) imaging are usually used. In these studies, obesity and low-grade systemic inflammation have been associated with lower volumes of the cerebral gray matter, cortex, and hippocampus, as well as altered tissue MR properties (suggesting microstructural variations in cellular and molecular composition). How these structural variations in the human brain observed using MR imaging relate to the cellular variations in the animal brain seen with microscopy is not well understood. This review describes the current understanding of neuroinflammation in the context of obesity-induced systemic inflammation, and it highlights need for the bridge between animal microscopy and human MR imaging studies.
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Affiliation(s)
- Anita Woo
- The Hospital for Sick Children, University of Toronto, Toronto, ON M5G 1X8, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Amy Botta
- The Hospital for Sick Children, University of Toronto, Toronto, ON M5G 1X8, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Sammy S. W. Shi
- The Hospital for Sick Children, University of Toronto, Toronto, ON M5G 1X8, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Tomas Paus
- Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC H3T 1C5, Canada
- Departments of Psychiatry of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON M5S 1A1, Canada
- ECOGENE-21, Chicoutimi, QC G7H 7K9, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, ON M5G 1X8, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON M5S 1A1, Canada
- ECOGENE-21, Chicoutimi, QC G7H 7K9, Canada
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Jiang SH, Zhang S, Wang H, Xue JL, Zhang ZG. Emerging experimental models for assessing perineural invasion in human cancers. Cancer Lett 2022; 535:215610. [PMID: 35283209 DOI: 10.1016/j.canlet.2022.215610] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 02/23/2022] [Accepted: 02/26/2022] [Indexed: 12/13/2022]
Abstract
Cancer neuroscience has emerged as a burgeoning field for the investigation of cancer-nervous system interactions. Perineural invasion (PNI) is defined as the presence of cancer cells that surround and/or invade the nerves infiltrating the tumor microenvironment. PNI is closely associated with increased tumor recurrence and diminished survival in many cancer types. Based on diverse in vitro, ex vivo, and in vivo models, mounting evidence suggests that the reciprocal crosstalk between nerves and cancer cells drives PNI, which is mediated by several factors including secreted neurotrophins, chemokines, exosomes, and inflammatory cells. Typical in vitro models using dorsal root ganglia (DRG) cells cocultured with cancer cells or other cell types allow the study of isolated factors. Ex vivo PNI models created by cocultivating cancer cells with explanted vagus and sciatic nerves enable the study of neuroaffinity in a time-saving and cost-efficient manner. In vivo models such as genetically engineered mouse models (GEMMs) and the chicken embryo chorioallantoic membrane (CAM)-DRG model, provide the nerve microenvironment needed to recapitulate the complex pathophysiological processes of PNI. Here, we summarize the current methods commonly used for modeling PNI and discuss the inherent pros and cons of these approaches for understanding PNI biology.
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Affiliation(s)
- Shu-Heng Jiang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200240, PR China.
| | - Shan Zhang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200240, PR China
| | - Hao Wang
- Department of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, PR China
| | - Jun-Li Xue
- Department of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, PR China.
| | - Zhi-Gang Zhang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200240, PR China.
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Germain RN, Radtke AJ, Thakur N, Schrom EC, Hor JL, Ichise H, Arroyo-Mejias AJ, Chu CJ, Grant S. Understanding immunity in a tissue-centric context: Combining novel imaging methods and mathematics to extract new insights into function and dysfunction. Immunol Rev 2021; 306:8-24. [PMID: 34918351 DOI: 10.1111/imr.13052] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/20/2021] [Accepted: 11/24/2021] [Indexed: 02/02/2023]
Abstract
A central question in immunology is what features allow the immune system to respond in a timely manner to a variety of pathogens encountered at unanticipated times and diverse body sites. Two decades of advanced and static dynamic imaging methods have now revealed several major principles facilitating host defense. Suborgan spatial prepositioning of distinct cells promotes time-efficient interactions upon pathogen sensing. Such pre-organization also provides an effective barrier to movement of pathogens from parenchymal tissues into the blood circulation. Various molecular mechanisms maintain effective intercellular communication among otherwise rapidly moving cells. These and related discoveries have benefited from recent increases in the number of parameters that can be measured simultaneously in a single tissue section and the extension of such multiplex analyses to 3D tissue volumes. The application of new computational methods to such imaging data has provided a quantitative, in vivo context for cell trafficking and signaling pathways traditionally explored in vitro or with dissociated cell preparations. Here, we summarize our efforts to devise and employ diverse imaging tools to probe immune system organization and function, concluding with a commentary on future developments, which we believe will reveal even more about how the immune system operates in health and disease.
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Affiliation(s)
- Ronald N Germain
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA.,Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA
| | - Andrea J Radtke
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA.,Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA
| | - Nishant Thakur
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA.,Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA
| | - Edward C Schrom
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA
| | - Jyh Liang Hor
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA
| | - Hiroshi Ichise
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA
| | - Armando J Arroyo-Mejias
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA
| | - Colin J Chu
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA.,Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Spencer Grant
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA.,Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA
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Grüneboom A, Aust O, Cibir Z, Weber F, Hermann DM, Gunzer M. Imaging innate immunity. Immunol Rev 2021; 306:293-303. [PMID: 34837251 DOI: 10.1111/imr.13048] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/26/2021] [Accepted: 11/11/2021] [Indexed: 12/23/2022]
Abstract
Innate immunity is the first line of defense against infectious intruders and also plays a major role in the development of sterile inflammation. Direct microscopic imaging of the involved immune cells, especially neutrophil granulocytes, monocytes, and macrophages, has been performed since more than 150 years, and we still obtain novel insights on a frequent basis. Initially, intravital microscopy was limited to small-sized animal species, which were often invertebrates. In this review, we will discuss recent results on the biology of neutrophils and macrophages that have been obtained using confocal and two-photon microscopy of individual cells or subcellular structures as well as light-sheet microscopy of entire organs. This includes the role of these cells in infection defense and sterile inflammation in mammalian disease models relevant for human patients. We discuss their protective but also disease-enhancing activities during tumor growth and ischemia-reperfusion damage of the heart and brain. Finally, we provide two visions, one experimental and one applied, how our knowledge on the function of innate immune cells might be further enhanced and also be used in novel ways for disease diagnostics in the future.
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Affiliation(s)
- Anika Grüneboom
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V, Dortmund, Germany
| | - Oliver Aust
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V, Dortmund, Germany
| | - Zülal Cibir
- Institute for Experimental Immunology and Imaging, University Hospital, University Duisburg-Essen, Essen, Germany
| | - Flora Weber
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V, Dortmund, Germany
| | - Dirk M Hermann
- Department of Neurology, University Hospital, University Duisburg-Essen, Essen, Germany
| | - Matthias Gunzer
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V, Dortmund, Germany.,Institute for Experimental Immunology and Imaging, University Hospital, University Duisburg-Essen, Essen, Germany
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