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Deng D, Hao T, Lu L, Yang M, Zeng Z, Lovell JF, Liu Y, Jin H. Applications of Intravital Imaging in Cancer Immunotherapy. Bioengineering (Basel) 2024; 11:264. [PMID: 38534538 DOI: 10.3390/bioengineering11030264] [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: 12/20/2023] [Revised: 02/20/2024] [Accepted: 03/06/2024] [Indexed: 03/28/2024] Open
Abstract
Currently, immunotherapy is one of the most effective treatment strategies for cancer. However, the efficacy of any specific anti-tumor immunotherapy can vary based on the dynamic characteristics of immune cells, such as their rate of migration and cell-to-cell interactions. Therefore, understanding the dynamics among cells involved in the immune response can inform the optimization and improvement of existing immunotherapy strategies. In vivo imaging technologies use optical microscopy techniques to visualize the movement and behavior of cells in vivo, including cells involved in the immune response, thereby showing great potential for application in the field of cancer immunotherapy. In this review, we briefly introduce the technical aspects required for in vivo imaging, such as fluorescent protein labeling, the construction of transgenic mice, and various window chamber models. Then, we discuss the elucidation of new phenomena and mechanisms relating to tumor immunotherapy that has been made possible by the application of in vivo imaging technology. Specifically, in vivo imaging has supported the characterization of the movement of T cells during immune checkpoint inhibitor therapy and the kinetic analysis of dendritic cell migration in tumor vaccine therapy. Finally, we provide a perspective on the challenges and future research directions for the use of in vivo imaging technology in cancer immunotherapy.
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Affiliation(s)
- Deqiang Deng
- College of Biomedicine and Health and College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Tianli Hao
- College of Biomedicine and Health and College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Lisen Lu
- College of Biomedicine and Health and College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Muyang Yang
- College of Biomedicine and Health and College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Zhen Zeng
- College of Biomedicine and Health and College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Jonathan F Lovell
- Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA
| | - Yushuai Liu
- Department of Ophthalmology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Honglin Jin
- College of Biomedicine and Health and College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
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2
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Lin Q, Choyke PL, Sato N. Visualizing vasculature and its response to therapy in the tumor microenvironment. Theranostics 2023; 13:5223-5246. [PMID: 37908739 PMCID: PMC10614675 DOI: 10.7150/thno.84947] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/30/2023] [Indexed: 11/02/2023] Open
Abstract
Tumor vasculature plays a critical role in the progression and metastasis of tumors, antitumor immunity, drug delivery, and resistance to therapies. The morphological and functional changes of tumor vasculature in response to therapy take place in a spatiotemporal-dependent manner, which can be predictive of treatment outcomes. Dynamic monitoring of intratumor vasculature contributes to an improved understanding of the mechanisms of action of specific therapies or reasons for treatment failure, leading to therapy optimization. There is a rich history of methods used to image the vasculature. This review describes recent advances in imaging technologies to visualize the tumor vasculature, with a focus on enhanced intravital imaging techniques and tumor window models. We summarize new insights on spatial-temporal vascular responses to various therapies, including changes in vascular perfusion and permeability and immune-vascular crosstalk, obtained from intravital imaging. Finally, we briefly discuss the clinical applications of intravital imaging techniques.
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Affiliation(s)
| | | | - Noriko Sato
- Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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3
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Proof of concept of a multimodal intravital molecular imaging system for tumour transpathology investigation. Eur J Nucl Med Mol Imaging 2021; 49:1157-1165. [PMID: 34651225 PMCID: PMC8921117 DOI: 10.1007/s00259-021-05574-y] [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: 05/13/2021] [Accepted: 09/22/2021] [Indexed: 12/22/2022]
Abstract
Background Transpathology highlights the interpretation of the underlying physiology behind molecular imaging. However, it remains challenging due to the discrepancies between in vivo and in vitro measurements and difficulties of precise co-registration between trans-scaled images. This study aims to develop a multimodal intravital molecular imaging (MIMI) system as a tool for in vivo tumour transpathology investigation. Methods The proposed MIMI system integrates high-resolution positron imaging, magnetic resonance imaging (MRI) and microscopic imaging on a dorsal skin window chamber on an athymic nude rat. The window chamber frame was designed to be compatible with multimodal imaging and its fiducial markers were customized for precise physical alignment among modalities. The co-registration accuracy was evaluated based on phantoms with thin catheters. For proof of concept, tumour models of the human colorectal adenocarcinoma cell line HT-29 were imaged. The tissue within the window chamber was sectioned, fixed and haematoxylin–eosin (HE) stained for comparison with multimodal in vivo imaging. Results The final MIMI system had a maximum field of view (FOV) of 18 mm × 18 mm. Using the fiducial markers and the tubing phantom, the co-registration errors are 0.18 ± 0.27 mm between MRI and positron imaging, 0.19 ± 0.22 mm between positron imaging and microscopic imaging and 0.15 ± 0.27 mm between MRI and microscopic imaging. A pilot test demonstrated that the MIMI system provides an integrative visualization of the tumour anatomy, vasculatures and metabolism of the in vivo tumour microenvironment, which was consistent with ex vivo pathology. Conclusions The established multimodal intravital imaging system provided a co-registered in vivo platform for trans-scale and transparent investigation of the underlying pathology behind imaging, which has the potential to enhance the translation of molecular imaging. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-021-05574-y.
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4
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Huang Q, Garrett A, Bose S, Blocker S, Rios AC, Clevers H, Shen X. The frontier of live tissue imaging across space and time. Cell Stem Cell 2021; 28:603-622. [PMID: 33798422 PMCID: PMC8034393 DOI: 10.1016/j.stem.2021.02.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
What you see is what you get-imaging techniques have long been essential for visualization and understanding of tissue development, homeostasis, and regeneration, which are driven by stem cell self-renewal and differentiation. Advances in molecular and tissue modeling techniques in the last decade are providing new imaging modalities to explore tissue heterogeneity and plasticity. Here we describe current state-of-the-art imaging modalities for tissue research at multiple scales, with a focus on explaining key tradeoffs such as spatial resolution, penetration depth, capture time/frequency, and moieties. We explore emerging tissue modeling and molecular tools that improve resolution, specificity, and throughput.
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Affiliation(s)
- Qiang Huang
- Department of Pediatric Surgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004 Shaanxi, China; Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA
| | - Aliesha Garrett
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA
| | - Shree Bose
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA
| | - Stephanie Blocker
- Center for In Vitro Microscopy, Duke University, Durham, NC 27708, USA
| | - Anne C Rios
- Princess Máxima Center for Pediatric Oncology, Utrecht 3584, the Netherlands; Department of Cancer Research, Oncode Institute, Hubrecht Institute-KNAW Utrecht, Utrecht 3584, the Netherlands
| | - Hans Clevers
- Princess Máxima Center for Pediatric Oncology, Utrecht 3584, the Netherlands; Department of Cancer Research, Oncode Institute, Hubrecht Institute-KNAW Utrecht, Utrecht 3584, the Netherlands; Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center (UMC) Utrecht, Utrecht 3584, the Netherlands
| | - Xiling Shen
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA.
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Prasad S, Chandra A, Cavo M, Parasido E, Fricke S, Lee Y, D'Amone E, Gigli G, Albanese C, Rodriguez O, Del Mercato LL. Optical and magnetic resonance imaging approaches for investigating the tumour microenvironment: state-of-the-art review and future trends. NANOTECHNOLOGY 2021; 32:062001. [PMID: 33065554 DOI: 10.1088/1361-6528/abc208] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The tumour microenvironment (TME) strongly influences tumorigenesis and metastasis. Two of the most characterized properties of the TME are acidosis and hypoxia, both of which are considered hallmarks of tumours as well as critical factors in response to anticancer treatments. Currently, various imaging approaches exist to measure acidosis and hypoxia in the TME, including magnetic resonance imaging (MRI), positron emission tomography and optical imaging. In this review, we will focus on the latest fluorescent-based methods for optical sensing of cell metabolism and MRI as diagnostic imaging tools applied both in vitro and in vivo. The primary emphasis will be on describing the current and future uses of systems that can measure intra- and extra-cellular pH and oxygen changes at high spatial and temporal resolution. In addition, the suitability of these approaches for mapping tumour heterogeneity, and assessing response or failure to therapeutics will also be covered.
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Affiliation(s)
- Saumya Prasad
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
| | - Anil Chandra
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
| | - Marta Cavo
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
| | - Erika Parasido
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States of America
| | - Stanley Fricke
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States of America
- Department of Radiology, Georgetown University Medical Center, Washington, DC, United States of America
| | - Yichien Lee
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
| | - Eliana D'Amone
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
| | - Giuseppe Gigli
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
- Department of Mathematics and Physics 'Ennio De Giorgi', University of Salento, via Arnesano, 73100, Lecce, Italy
| | - Chris Albanese
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States of America
- Department of Radiology, Georgetown University Medical Center, Washington, DC, United States of America
| | - Olga Rodriguez
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States of America
| | - Loretta L Del Mercato
- Institute of Nanotechnology, National Research Council (CNR-NANOTEC), c/o Campus Ecotekne, via Monteroni, 73100, Lecce, Italy
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6
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Intravital Optical Imaging to Monitor Anti-Tumor Immunological Response in Preclinical Models. Bioanalysis 2021. [DOI: 10.1007/978-3-030-78338-9_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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7
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Henscheid N. Generating patient-specific virtual tumor populations with reaction-diffusion models and molecular imaging data. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2020; 17:6531-6556. [PMID: 33378865 PMCID: PMC7780222 DOI: 10.3934/mbe.2020341] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
The use of mathematical tumor growth models coupled to noisy imaging data has been suggested as a possible component in the push towards precision medicine. We discuss the generation of population and patient-specific virtual populations in this context, providing in silico experiments to demonstrate how intra- and inter-patient heterogeneity can be estimated by applying rigorous statistical procedures to noisy molecular imaging data, and how the noise properties of such data can be analyzed to estimate uncertainties in predicted patient outcomes.
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8
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Microarray Embedding/Sectioning for Parallel Analysis of 3D Cell Spheroids. Sci Rep 2019; 9:16287. [PMID: 31705048 PMCID: PMC6841729 DOI: 10.1038/s41598-019-52007-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 08/30/2019] [Indexed: 11/20/2022] Open
Abstract
Three-dimensional cell spheroid models can be used to predict the effect of drugs and therapeutics and to model tissue development and regeneration. The utility of these models is enhanced by high throughput 3D spheroid culture technologies allowing researchers to efficiently culture numerous spheroids under varied experimental conditions. Detailed analysis of high throughput spheroid culture is much less efficient and generally limited to narrow outputs, such as metabolic viability. We describe a microarray approach that makes traditional histological embedding/sectioning/staining feasible for large 3D cell spheroid sample sets. Detailed methodology to apply this technology is provided. Analysis of the technique validates the potential for efficient histological analysis of up to 96 spheroids in parallel. By integrating high throughput 3D spheroid culture technologies with advanced immunohistochemical techniques, this approach will allow researchers to efficiently probe expression of multiple biomarkers with spatial localization within 3D structures. Quantitative comparison of staining will have improved inter- and intra-experimental reproducibility as multiple samples are collectively processed, stained, and imaged on a single slide.
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Lo YH, Liao CT, Zhou J, Rana A, Bevis CS, Gui G, Enders B, Cannon KM, Yu YS, Celestre R, Nowrouzi K, Shapiro D, Kapteyn H, Falcone R, Bennett C, Murnane M, Miao J. Multimodal x-ray and electron microscopy of the Allende meteorite. SCIENCE ADVANCES 2019; 5:eaax3009. [PMID: 31555739 PMCID: PMC6754224 DOI: 10.1126/sciadv.aax3009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 08/23/2019] [Indexed: 06/10/2023]
Abstract
Multimodal microscopy that combines complementary nanoscale imaging techniques is critical for extracting comprehensive chemical, structural, and functional information, particularly for heterogeneous samples. X-ray microscopy can achieve high-resolution imaging of bulk materials with chemical, magnetic, electronic, and bond orientation contrast, while electron microscopy provides atomic-scale spatial resolution with quantitative elemental composition. Here, we combine x-ray ptychography and scanning transmission x-ray spectromicroscopy with three-dimensional energy-dispersive spectroscopy and electron tomography to perform structural and chemical mapping of an Allende meteorite particle with 15-nm spatial resolution. We use textural and quantitative elemental information to infer the mineral composition and discuss potential processes that occurred before or after accretion. We anticipate that correlative x-ray and electron microscopy overcome the limitations of individual imaging modalities and open up a route to future multiscale nondestructive microscopies of complex functional materials and biological systems.
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Affiliation(s)
- Yuan Hung Lo
- Department of Physics and Astronomy and California NanoSystems Institute, University of California, Los Angeles, CA 90095, USA
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
| | - Chen-Ting Liao
- JILA and Department of Physics, University of Colorado and National Institute of Standards and Technology (NIST), Boulder, CO 80309, USA
| | - Jihan Zhou
- Department of Physics and Astronomy and California NanoSystems Institute, University of California, Los Angeles, CA 90095, USA
| | - Arjun Rana
- Department of Physics and Astronomy and California NanoSystems Institute, University of California, Los Angeles, CA 90095, USA
| | - Charles S. Bevis
- JILA and Department of Physics, University of Colorado and National Institute of Standards and Technology (NIST), Boulder, CO 80309, USA
| | - Guan Gui
- JILA and Department of Physics, University of Colorado and National Institute of Standards and Technology (NIST), Boulder, CO 80309, USA
| | - Bjoern Enders
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Kevin M. Cannon
- Department of Physics, University of Central Florida, Orlando, FL 32816, USA
| | - Young-Sang Yu
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Richard Celestre
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Kasra Nowrouzi
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - David Shapiro
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Henry Kapteyn
- JILA and Department of Physics, University of Colorado and National Institute of Standards and Technology (NIST), Boulder, CO 80309, USA
| | - Roger Falcone
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Chris Bennett
- Department of Physics, University of Central Florida, Orlando, FL 32816, USA
| | - Margaret Murnane
- JILA and Department of Physics, University of Colorado and National Institute of Standards and Technology (NIST), Boulder, CO 80309, USA
| | - Jianwei Miao
- Department of Physics and Astronomy and California NanoSystems Institute, University of California, Los Angeles, CA 90095, USA
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10
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Abstract
Most of preclinical cancer studies use xenograft models established from human cell lines or patient-derived cancer cells subcutaneously implanted into the flank of immunocompromised mice. These models are often assumed to represent the original diseases and are valuable tools, at least to some extent, for understanding both the basic biology of cancer and for proof-of-concept studies of molecularly targeted therapies. However, analyzing the cellular behavior of individual components within xenografts, including tumor cells, stromal cells, immune cells, and blood vessels, is challenging. In particular, it has been difficult and urgently required to trace the whole process of heterogeneous tumor microenvironment formation mediated by various components described above. Here we demonstrate a method for monitoring this process using a window device system that we have recently developed and a subcutaneous xenograft model that accurately recapitulates the histology of human lung adenocarcinoma. Use of our imaging window device and a multiphoton laser scanning microscope provides a powerful tool for investigating tumor heterogeneity and responses to drug treatments in an in vivo live imaging system.
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Affiliation(s)
- Wataru Ikeda
- KAN Research Institute Inc., Kobe, Hyogo, Japan.
| | - Ken Sasai
- KAN Research Institute Inc., Kobe, Hyogo, Japan
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11
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Pinkert MA, Salkowski LR, Keely PJ, Hall TJ, Block WF, Eliceiri KW. Review of quantitative multiscale imaging of breast cancer. J Med Imaging (Bellingham) 2018; 5:010901. [PMID: 29392158 PMCID: PMC5777512 DOI: 10.1117/1.jmi.5.1.010901] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2017] [Accepted: 12/19/2017] [Indexed: 12/12/2022] Open
Abstract
Breast cancer is the most common cancer among women worldwide and ranks second in terms of overall cancer deaths. One of the difficulties associated with treating breast cancer is that it is a heterogeneous disease with variations in benign and pathologic tissue composition, which contributes to disease development, progression, and treatment response. Many of these phenotypes are uncharacterized and their presence is difficult to detect, in part due to the sparsity of methods to correlate information between the cellular microscale and the whole-breast macroscale. Quantitative multiscale imaging of the breast is an emerging field concerned with the development of imaging technology that can characterize anatomic, functional, and molecular information across different resolutions and fields of view. It involves a diverse collection of imaging modalities, which touch large sections of the breast imaging research community. Prospective studies have shown promising results, but there are several challenges, ranging from basic physics and engineering to data processing and quantification, that must be met to bring the field to maturity. This paper presents some of the challenges that investigators face, reviews currently used multiscale imaging methods for preclinical imaging, and discusses the potential of these methods for clinical breast imaging.
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Affiliation(s)
- Michael A. Pinkert
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Laboratory for Optical and Computational Instrumentation, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
| | - Lonie R. Salkowski
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Radiology, Madison, Wisconsin, United States
| | - Patricia J. Keely
- University of Wisconsin–Madison, Department of Cell and Regenerative Biology, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Timothy J. Hall
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Walter F. Block
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Radiology, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Kevin W. Eliceiri
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Laboratory for Optical and Computational Instrumentation, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
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12
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Procedures and applications of long-term intravital microscopy. Methods 2017; 128:52-64. [PMID: 28669866 DOI: 10.1016/j.ymeth.2017.06.029] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 06/22/2017] [Accepted: 06/24/2017] [Indexed: 01/05/2023] Open
Abstract
Intravital microscopy (IVM) is increasingly used in biomedical research to study dynamic processes at cellular and subcellular resolution in their natural environment. Long-term IVM especially can be applied to visualize migration and proliferation over days to months within the same animal without recurrent surgeries. Skin can be repetitively imaged without surgery. To intermittently visualize cells in other organs, such as liver, mammary gland and brain, different imaging windows including the abdominal imaging window (AIW), dermal imaging window (DIW) and cranial imaging window (CIW) have been developed. In this review, we describe the procedure of window implantation and pros and cons of each technique as well as methods to retrace a position of interest over time. In addition, different fluorescent biosensors to facilitate the tracking of cells for different purposes, such as monitoring cell migration and proliferation, are discussed. Finally, we consider new techniques and possibilities of how long-term IVM can be even further improved in the future.
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13
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Flores-Borja F, Irshad S, Gordon P, Wong F, Sheriff I, Tutt A, Ng T. Crosstalk between Innate Lymphoid Cells and Other Immune Cells in the Tumor Microenvironment. J Immunol Res 2016; 2016:7803091. [PMID: 27882334 PMCID: PMC5110869 DOI: 10.1155/2016/7803091] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 08/20/2016] [Accepted: 08/30/2016] [Indexed: 12/26/2022] Open
Abstract
Our knowledge and understanding of the tumor microenvironment (TME) have been recently expanded with the recognition of the important role of innate lymphoid cells (ILC). Three different groups of ILC have been described based on their ability to produce cytokines that mediate the interactions between innate and adaptive immune cells in a variety of immune responses in infection, allergy, and autoimmunity. However, recent evidence from experimental models and clinical studies has demonstrated that ILC contribute to the mechanisms that generate suppressive or tolerant environments that allow tumor regression or progression. Defining the complex network of interactions and crosstalk of ILC with other immune cells and understanding the specific contributions of each type of ILC leading to tumor development will allow the manipulation of their function and will be important to develop new interventions and therapeutic strategies.
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Affiliation(s)
- Fabian Flores-Borja
- Breast Cancer Now Research Unit, Division of Cancer Studies, Guy's Hospital, King's College London School of Medicine, London SE1 9RT, UK
| | - Sheeba Irshad
- Breast Cancer Now Research Unit, Division of Cancer Studies, Guy's Hospital, King's College London School of Medicine, London SE1 9RT, UK
| | - Peter Gordon
- Breast Cancer Now Research Unit, Division of Cancer Studies, Guy's Hospital, King's College London School of Medicine, London SE1 9RT, UK
| | - Felix Wong
- Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, King's College London, Guy's Medical School Campus, London SE1 1ULK, UK
| | - Ibrahim Sheriff
- Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, King's College London, Guy's Medical School Campus, London SE1 1ULK, UK
| | - Andrew Tutt
- Breast Cancer Now Research Unit, Division of Cancer Studies, Guy's Hospital, King's College London School of Medicine, London SE1 9RT, UK
- Breast Cancer Now Toby Robins Research Centre, Institute of Cancer Research, London SW3 6JB, UK
| | - Tony Ng
- Breast Cancer Now Research Unit, Division of Cancer Studies, Guy's Hospital, King's College London School of Medicine, London SE1 9RT, UK
- Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, King's College London, Guy's Medical School Campus, London SE1 1ULK, UK
- UCL Cancer Institute, Paul O'Gorman Building, University College London, London WC1E 6DD, UK
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Maeda A, Kulbatski I, DaCosta RS. Emerging Applications for Optically Enabled Intravital Microscopic Imaging in Radiobiology. Mol Imaging 2015. [DOI: 10.2310/7290.2015.00022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Azusa Maeda
- From the Princess Margaret Cancer Centre, University Health Network, MaRS Centre; Techna Institute for Advancement of Technologies for Health; and Department of Medical Biophysics, University of Toronto, MaRS Centre, Toronto, ON
| | - Iris Kulbatski
- From the Princess Margaret Cancer Centre, University Health Network, MaRS Centre; Techna Institute for Advancement of Technologies for Health; and Department of Medical Biophysics, University of Toronto, MaRS Centre, Toronto, ON
| | - Ralph S. DaCosta
- From the Princess Margaret Cancer Centre, University Health Network, MaRS Centre; Techna Institute for Advancement of Technologies for Health; and Department of Medical Biophysics, University of Toronto, MaRS Centre, Toronto, ON
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15
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Leung HM, Gmitro AF. Fluorescence and reflectance spectral imaging system for a murine mammary window chamber model. BIOMEDICAL OPTICS EXPRESS 2015; 6:2887-94. [PMID: 26309753 PMCID: PMC4541517 DOI: 10.1364/boe.6.002887] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Revised: 07/10/2015] [Accepted: 07/13/2015] [Indexed: 05/20/2023]
Abstract
A spectral imaging system was developed to study the development of breast cancer xenografts in a murine mammary window chamber model. The instrument is configured to work with either a laser to excite fluorescence or a broadband light source for diffuse reflectance imaging. Two applications were demonstrated. First, spectral imaging of fluorescence signals was demonstrated with a GFP-breast cancer tumor and fluorescein injection. Second, based on the principles of broadband reflectance spectroscopy, the instrument was used to monitor dynamic changes of tissue absorbance to yield tissue oxygenation maps at different time points during tumor progression.
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Affiliation(s)
- Hui Min Leung
- University of Arizona, College of Optical Sciences, 1630 E University Blvd., Tucson, AZ 85721, USA
- University of Arizona, Department of Medical Imaging, 1609 N Warren Ave, Tucson, AZ 85724, USA
| | - Arthur F. Gmitro
- University of Arizona, College of Optical Sciences, 1630 E University Blvd., Tucson, AZ 85721, USA
- University of Arizona, Department of Medical Imaging, 1609 N Warren Ave, Tucson, AZ 85724, USA
- University of Arizona, Department of Biomedical Engineering, 1127 E James E. Rogers Way, Tucson, AZ 85721, USA
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Schafer R, Gmitro AF. Dynamic oxygenation measurements using a phosphorescent coating within a mammary window chamber mouse model. BIOMEDICAL OPTICS EXPRESS 2015; 6:639-50. [PMID: 25780753 PMCID: PMC4354589 DOI: 10.1364/boe.6.000639] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Revised: 01/14/2015] [Accepted: 01/26/2015] [Indexed: 05/14/2023]
Abstract
Phosphorescent lifetime imaging was employed to measure the spatial and temporal distribution of oxygen partial pressure in tissue under the coverslip of a mammary window chamber breast cancer mouse model. A thin platinum-porphyrin coating, whose phosphorescent lifetime varies monotonically with oxygen partial pressure, was applied to the coverslip surface. Dynamic temporal responses to induced modulations in oxygenation levels were measured using this approach.
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Affiliation(s)
- Rachel Schafer
- Department of Biomedical Engineering, University of Arizona, 1657 E. Helen St., Tucson, AZ 85721,
USA
- Department of Medical Imaging, University of Arizona, 1609 N Warren Ave, Tucson, AZ 85724,
USA
| | - Arthur F. Gmitro
- Department of Biomedical Engineering, University of Arizona, 1657 E. Helen St., Tucson, AZ 85721,
USA
- College of Optical Sciences, University of Arizona, 1630 E. University Blvd, Tucson, AZ 85721,
USA
- Department of Medical Imaging, University of Arizona, 1609 N Warren Ave, Tucson, AZ 85724,
USA
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