1
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Filipe EC, Velayuthar S, Philp A, Nobis M, Latham SL, Parker AL, Murphy KJ, Wyllie K, Major GS, Contreras O, Mok ETY, Enriquez RF, McGowan S, Feher K, Quek L, Hancock SE, Yam M, Tran E, Setargew YFI, Skhinas JN, Chitty JL, Phimmachanh M, Han JZR, Cadell AL, Papanicolaou M, Mahmodi H, Kiedik B, Junankar S, Ross SE, Lam N, Coulson R, Yang J, Zaratzian A, Da Silva AM, Tayao M, Chin IL, Cazet A, Kansara M, Segara D, Parker A, Hoy AJ, Harvey RP, Bogdanovic O, Timpson P, Croucher DR, Lim E, Swarbrick A, Holst J, Turner N, Choi YS, Kabakova IV, Philp A, Cox TR. Tumor Biomechanics Alters Metastatic Dissemination of Triple Negative Breast Cancer via Rewiring Fatty Acid Metabolism. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2307963. [PMID: 38602451 PMCID: PMC11186052 DOI: 10.1002/advs.202307963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 03/11/2024] [Indexed: 04/12/2024]
Abstract
In recent decades, the role of tumor biomechanics on cancer cell behavior at the primary site has been increasingly appreciated. However, the effect of primary tumor biomechanics on the latter stages of the metastatic cascade, such as metastatic seeding of secondary sites and outgrowth remains underappreciated. This work sought to address this in the context of triple negative breast cancer (TNBC), a cancer type known to aggressively disseminate at all stages of disease progression. Using mechanically tuneable model systems, mimicking the range of stiffness's typically found within breast tumors, it is found that, contrary to expectations, cancer cells exposed to softer microenvironments are more able to colonize secondary tissues. It is shown that heightened cell survival is driven by enhanced metabolism of fatty acids within TNBC cells exposed to softer microenvironments. It is demonstrated that uncoupling cellular mechanosensing through integrin β1 blocking antibody effectively causes stiff primed TNBC cells to behave like their soft counterparts, both in vitro and in vivo. This work is the first to show that softer tumor microenvironments may be contributing to changes in disease outcome by imprinting on TNBC cells a greater metabolic flexibility and conferring discrete cell survival advantages.
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2
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Conway JRW, Warren SC, Lee YK, McCulloch AT, Magenau A, Lee V, Metcalf XL, Stoehr J, Haigh K, Abdulkhalek L, Guaman CS, Reed DA, Murphy KJ, Pereira BA, Mélénec P, Chambers C, Latham SL, Lenthall H, Deenick EK, Ma Y, Phan T, Lim E, Joshua AM, Walters S, Grey ST, Shi YC, Zhang L, Herzog H, Croucher DR, Philp A, Scheele CLGJ, Herrmann D, Sansom OJ, Morton JP, Papa A, Haigh JJ, Nobis M, Timpson P. Monitoring AKT activity and targeting in live tissue and disease contexts using a real-time Akt-FRET biosensor mouse. SCIENCE ADVANCES 2023; 9:eadf9063. [PMID: 37126544 PMCID: PMC10132756 DOI: 10.1126/sciadv.adf9063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Aberrant AKT activation occurs in a number of cancers, metabolic syndrome, and immune disorders, making it an important target for the treatment of many diseases. To monitor spatial and temporal AKT activity in a live setting, we generated an Akt-FRET biosensor mouse that allows longitudinal assessment of AKT activity using intravital imaging in conjunction with image stabilization and optical window technology. We demonstrate the sensitivity of the Akt-FRET biosensor mouse using various cancer models and verify its suitability to monitor response to drug targeting in spheroid and organotypic models. We also show that the dynamics of AKT activation can be monitored in real time in diverse tissues, including in individual islets of the pancreas, in the brown and white adipose tissue, and in the skeletal muscle. Thus, the Akt-FRET biosensor mouse provides an important tool to study AKT dynamics in live tissue contexts and has broad preclinical applications.
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Affiliation(s)
- James R W Conway
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Sean C Warren
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Young-Kyung Lee
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Andrew T McCulloch
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- School of Clinical Medicine, UNSW Sydney, Randwick Clinical Campus, Sydney, NSW, Australia
| | - Astrid Magenau
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Victoria Lee
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Xanthe L Metcalf
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Janett Stoehr
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Katharina Haigh
- Department of Pharmacology and Therapeutics, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- CancerCare Manitoba Research Institute, Winnipeg, Manitoba, Canada
| | - Lea Abdulkhalek
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Cristian S Guaman
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Daniel A Reed
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Kendelle J Murphy
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Brooke A Pereira
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Pauline Mélénec
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Cecilia Chambers
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Sharissa L Latham
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Helen Lenthall
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
| | - Elissa K Deenick
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Yuanqing Ma
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Tri Phan
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Elgene Lim
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Anthony M Joshua
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Stacey Walters
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
| | - Shane T Grey
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Yan-Chuan Shi
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Lei Zhang
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Herbert Herzog
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - David R Croucher
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Andy Philp
- School of Clinical Medicine, Randwick Clinical Campus, UNSW Sydney, Centre for Healthy Ageing, Centenary Institute, Missenden Road, Sydney, NSW 2050, Australia
- Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Colinda L G J Scheele
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, 3000 Leuven, Belgium
- Department of Oncology, KU Leuven, 3000 Leuven, Belgium
| | - David Herrmann
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Owen J Sansom
- Cancer Research UK Beatson Institute, Glasgow G611BD, UK
- School of Cancer Sciences, Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow G611QH, UK
| | - Jennifer P Morton
- Cancer Research UK Beatson Institute, Glasgow G611BD, UK
- School of Cancer Sciences, Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow G611QH, UK
| | - Antonella Papa
- Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia
| | - Jody J Haigh
- Department of Pharmacology and Therapeutics, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- CancerCare Manitoba Research Institute, Winnipeg, Manitoba, Canada
| | - Max Nobis
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, 3000 Leuven, Belgium
- Intravital Imaging Expertise Center, VIB Center for Cancer Biology, KU Leuven, 3000 Leuven, Belgium
| | - Paul Timpson
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
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3
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Hastings JF, Latham SL, Kamili A, Wheatley MS, Han JZ, Wong-Erasmus M, Phimmachanh M, Nobis M, Pantarelli C, Cadell AL, O’Donnell YE, Leong KH, Lynn S, Geng FS, Cui L, Yan S, Achinger-Kawecka J, Stirzaker C, Norris MD, Haber M, Trahair TN, Speleman F, De Preter K, Cowley MJ, Bogdanovic O, Timpson P, Cox TR, Kolch W, Fletcher JI, Fey D, Croucher DR. Memory of stochastic single-cell apoptotic signaling promotes chemoresistance in neuroblastoma. SCIENCE ADVANCES 2023; 9:eabp8314. [PMID: 36867694 PMCID: PMC9984174 DOI: 10.1126/sciadv.abp8314] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
Gene expression noise is known to promote stochastic drug resistance through the elevated expression of individual genes in rare cancer cells. However, we now demonstrate that chemoresistant neuroblastoma cells emerge at a much higher frequency when the influence of noise is integrated across multiple components of an apoptotic signaling network. Using a JNK activity biosensor with longitudinal high-content and in vivo intravital imaging, we identify a population of stochastic, JNK-impaired, chemoresistant cells that exist because of noise within this signaling network. Furthermore, we reveal that the memory of this initially random state is retained following chemotherapy treatment across a series of in vitro, in vivo, and patient models. Using matched PDX models established at diagnosis and relapse from individual patients, we show that HDAC inhibitor priming cannot erase the memory of this resistant state within relapsed neuroblastomas but improves response in the first-line setting by restoring drug-induced JNK activity within the chemoresistant population of treatment-naïve tumors.
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Affiliation(s)
- Jordan F. Hastings
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Sharissa L. Latham
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Alvin Kamili
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Madeleine S. Wheatley
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Jeremy Z. R. Han
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Marie Wong-Erasmus
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Monica Phimmachanh
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Max Nobis
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Chiara Pantarelli
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Antonia L. Cadell
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Yolande E. I. O’Donnell
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - King Ho Leong
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Sophie Lynn
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Fan-Suo Geng
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Lujing Cui
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Sabrina Yan
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Joanna Achinger-Kawecka
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Clare Stirzaker
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Murray D. Norris
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
- University of New South Wales Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia
| | - Michelle Haber
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Toby N. Trahair
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
- Kids Cancer Centre, Sydney Children’s Hospital, Randwick, NSW 2031, Australia
| | - Frank Speleman
- Center for Medical Genetics, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium
| | - Katleen De Preter
- Center for Medical Genetics, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium
| | - Mark J. Cowley
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
- University of New South Wales Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia
| | - Ozren Bogdanovic
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Paul Timpson
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Thomas R. Cox
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Walter Kolch
- Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland
| | - Jamie I. Fletcher
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
- University of New South Wales Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia
| | - Dirk Fey
- Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland
| | - David R. Croucher
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
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4
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Scheele CLGJ, Herrmann D, Yamashita E, Celso CL, Jenne CN, Oktay MH, Entenberg D, Friedl P, Weigert R, Meijboom FLB, Ishii M, Timpson P, van Rheenen J. Multiphoton intravital microscopy of rodents. NATURE REVIEWS. METHODS PRIMERS 2022; 2:89. [PMID: 37621948 PMCID: PMC10449057 DOI: 10.1038/s43586-022-00168-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/12/2022] [Indexed: 08/26/2023]
Abstract
Tissues are heterogeneous with respect to cellular and non-cellular components and in the dynamic interactions between these elements. To study the behaviour and fate of individual cells in these complex tissues, intravital microscopy (IVM) techniques such as multiphoton microscopy have been developed to visualize intact and live tissues at cellular and subcellular resolution. IVM experiments have revealed unique insights into the dynamic interplay between different cell types and their local environment, and how this drives morphogenesis and homeostasis of tissues, inflammation and immune responses, and the development of various diseases. This Primer introduces researchers to IVM technologies, with a focus on multiphoton microscopy of rodents, and discusses challenges, solutions and practical tips on how to perform IVM. To illustrate the unique potential of IVM, several examples of results are highlighted. Finally, we discuss data reproducibility and how to handle big imaging data sets.
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Affiliation(s)
- Colinda L. G. J. Scheele
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - David Herrmann
- Cancer Ecosystems Program, Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Department, Sydney, New South Wales, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Erika Yamashita
- Department of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, Osaka University, Osaka, Japan
- WPI-Immunology Frontier Research Center, Osaka University, Osaka, Japan
- Laboratory of Bioimaging and Drug Discovery, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Cristina Lo Celso
- Department of Life Sciences and Centre for Hematology, Imperial College London, London, UK
- Sir Francis Crick Institute, London, UK
| | - Craig N. Jenne
- Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Maja H. Oktay
- Department of Pathology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - David Entenberg
- Department of Pathology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Peter Friedl
- Department of Cell Biology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- David H. Koch Center for Applied Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Roberto Weigert
- Laboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Franck L. B. Meijboom
- Department of Population Health Sciences, Sustainable Animal Stewardship, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
- Faculty of Humanities, Ethics Institute, Utrecht University, Utrecht, Netherlands
| | - Masaru Ishii
- Department of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, Osaka University, Osaka, Japan
- WPI-Immunology Frontier Research Center, Osaka University, Osaka, Japan
- Laboratory of Bioimaging and Drug Discovery, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Paul Timpson
- Cancer Ecosystems Program, Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Department, Sydney, New South Wales, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Jacco van Rheenen
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, Netherlands
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5
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Murphy KJ, Reed DA, Vennin C, Conway JRW, Nobis M, Yin JX, Chambers CR, Pereira BA, Lee V, Filipe EC, Trpceski M, Ritchie S, Lucas MC, Warren SC, Skhinas JN, Magenau A, Metcalf XL, Stoehr J, Major G, Parkin A, Bidanel R, Lyons RJ, Zaratzian A, Tayao M, Da Silva A, Abdulkhalek L, Gill AJ, Johns AL, Biankin AV, Samra J, Grimmond SM, Chou A, Goetz JG, Samuel MS, Lyons JG, Burgess A, Caldon CE, Horvath LG, Daly RJ, Gadegaard N, Wang Y, Sansom OJ, Morton JP, Cox TR, Pajic M, Herrmann D, Timpson P. Intravital imaging technology guides FAK-mediated priming in pancreatic cancer precision medicine according to Merlin status. SCIENCE ADVANCES 2021; 7:eabh0363. [PMID: 34586840 PMCID: PMC8480933 DOI: 10.1126/sciadv.abh0363] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 08/06/2021] [Indexed: 05/05/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly metastatic, chemoresistant malignancy and is characterized by a dense, desmoplastic stroma that modulates PDAC progression. Here, we visualized transient manipulation of focal adhesion kinase (FAK), which integrates bidirectional cell-environment signaling, using intravital fluorescence lifetime imaging microscopy of the FAK-based Förster resonance energy transfer biosensor in mouse and patient-derived PDAC models. Parallel real-time quantification of the FUCCI cell cycle reporter guided us to improve PDAC response to standard-of-care chemotherapy at primary and secondary sites. Critically, micropatterned pillar plates and stiffness-tunable matrices were used to pinpoint the contribution of environmental cues to chemosensitization, while fluid flow–induced shear stress assessment, patient-derived matrices, and personalized in vivo models allowed us to deconstruct how FAK inhibition can reduce PDAC spread. Last, stratification of PDAC patient samples via Merlin status revealed a patient subset with poor prognosis that are likely to respond to FAK priming before chemotherapy.
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Affiliation(s)
- Kendelle J. Murphy
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Daniel A. Reed
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Claire Vennin
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Oncode Institute, Division of Molecular Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, Netherlands
| | - James R. W. Conway
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
| | - Max Nobis
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Julia X. Yin
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Cecilia R. Chambers
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Brooke A. Pereira
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Victoria Lee
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Elysse C. Filipe
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Michael Trpceski
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Shona Ritchie
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Morghan C. Lucas
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Sean C. Warren
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Joanna N. Skhinas
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Astrid Magenau
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Xanthe L. Metcalf
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Janett Stoehr
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Gretel Major
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Ashleigh Parkin
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Romain Bidanel
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Ruth J. Lyons
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Anaiis Zaratzian
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Michael Tayao
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Andrew Da Silva
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Lea Abdulkhalek
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Australian Pancreatic Genome Initiative (APGI)
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Oncode Institute, Division of Molecular Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, Netherlands
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
- Sydney Medical School, University of Sydney, Sydney, NSW 2006, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, NSW 2065, Australia
- Cancer Diagnosis and Pathology Research Group, Kolling Institute of Medical Research, NSW 2064, Australia
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
- West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow, UK
- Department of Surgery, Royal North Shore Hospital, Sydney, NSW 2065, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, 305 Grattan Street, Melbourne, VIC 3000, Australia
- Department of Anatomical Pathology, SydPath, Darlinghurst, NSW 2010, Australia
- INSERM UMR, Tumour Biomechanics, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
- Centre for Cancer Biology, SA Pathology and University of South Australia, SA, Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- Dermatology, Sydney Medical School, University of Sydney, Camperdown, NSW, Australia
- Cancer Services, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Centenary Institute, The University of Sydney, Camperdown, NSW, Australia
- ANZAC Research Institute, Sydney, NSW 2139, Australia
- Faculty of Medicine and Health, Concord Clinical School, University of Sydney, Sydney, NSW 2000, Australia
- Medical Oncology, Chris O’Brien Lifehouse, Camperdown, NSW 2006, Australia
- Cancer Program and Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia
- James Watt School of Engineering, University of Glasgow, Glasgow, UK
- Department of Bioengineering and Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA, USA
- Cancer Research UK Beatson Institute, Glasgow, UK
| | - Australian Pancreatic Cancer Matrix Atlas (APMA)
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Oncode Institute, Division of Molecular Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, Netherlands
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
- Sydney Medical School, University of Sydney, Sydney, NSW 2006, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, NSW 2065, Australia
- Cancer Diagnosis and Pathology Research Group, Kolling Institute of Medical Research, NSW 2064, Australia
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
- West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow, UK
- Department of Surgery, Royal North Shore Hospital, Sydney, NSW 2065, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, 305 Grattan Street, Melbourne, VIC 3000, Australia
- Department of Anatomical Pathology, SydPath, Darlinghurst, NSW 2010, Australia
- INSERM UMR, Tumour Biomechanics, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
- Centre for Cancer Biology, SA Pathology and University of South Australia, SA, Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- Dermatology, Sydney Medical School, University of Sydney, Camperdown, NSW, Australia
- Cancer Services, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Centenary Institute, The University of Sydney, Camperdown, NSW, Australia
- ANZAC Research Institute, Sydney, NSW 2139, Australia
- Faculty of Medicine and Health, Concord Clinical School, University of Sydney, Sydney, NSW 2000, Australia
- Medical Oncology, Chris O’Brien Lifehouse, Camperdown, NSW 2006, Australia
- Cancer Program and Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia
- James Watt School of Engineering, University of Glasgow, Glasgow, UK
- Department of Bioengineering and Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA, USA
- Cancer Research UK Beatson Institute, Glasgow, UK
| | - Anthony J. Gill
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW 2006, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, NSW 2065, Australia
- Cancer Diagnosis and Pathology Research Group, Kolling Institute of Medical Research, NSW 2064, Australia
| | - Amber L. Johns
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
| | - Andrew V. Biankin
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
- West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow, UK
| | - Jaswinder Samra
- Department of Surgery, Royal North Shore Hospital, Sydney, NSW 2065, Australia
| | - Sean M. Grimmond
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, 305 Grattan Street, Melbourne, VIC 3000, Australia
| | - Angela Chou
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW 2006, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, NSW 2065, Australia
- Cancer Diagnosis and Pathology Research Group, Kolling Institute of Medical Research, NSW 2064, Australia
- Department of Anatomical Pathology, SydPath, Darlinghurst, NSW 2010, Australia
| | - Jacky G. Goetz
- INSERM UMR, Tumour Biomechanics, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
| | - Michael S. Samuel
- Centre for Cancer Biology, SA Pathology and University of South Australia, SA, Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - J. Guy Lyons
- Dermatology, Sydney Medical School, University of Sydney, Camperdown, NSW, Australia
- Cancer Services, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Centenary Institute, The University of Sydney, Camperdown, NSW, Australia
| | - Andrew Burgess
- ANZAC Research Institute, Sydney, NSW 2139, Australia
- Faculty of Medicine and Health, Concord Clinical School, University of Sydney, Sydney, NSW 2000, Australia
| | - C. Elizabeth Caldon
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Lisa G. Horvath
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW 2006, Australia
- Medical Oncology, Chris O’Brien Lifehouse, Camperdown, NSW 2006, Australia
| | - Roger J. Daly
- Cancer Program and Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia
| | - Nikolaj Gadegaard
- James Watt School of Engineering, University of Glasgow, Glasgow, UK
| | - Yingxiao Wang
- Department of Bioengineering and Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Owen J. Sansom
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
- Cancer Research UK Beatson Institute, Glasgow, UK
| | - Jennifer P. Morton
- Institute of Cancer Sciences, Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
- Cancer Research UK Beatson Institute, Glasgow, UK
| | - Thomas R. Cox
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Marina Pajic
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - David Herrmann
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Paul Timpson
- Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Division, Sydney, NSW 2010, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
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6
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Floerchinger A, Murphy KJ, Latham SL, Warren SC, McCulloch AT, Lee YK, Stoehr J, Mélénec P, Guaman CS, Metcalf XL, Lee V, Zaratzian A, Da Silva A, Tayao M, Rolo S, Phimmachanh M, Sultani G, McDonald L, Mason SM, Ferrari N, Ooms LM, Johnsson AKE, Spence HJ, Olson MF, Machesky LM, Sansom OJ, Morton JP, Mitchell CA, Samuel MS, Croucher DR, Welch HCE, Blyth K, Caldon CE, Herrmann D, Anderson KI, Timpson P, Nobis M. Optimizing metastatic-cascade-dependent Rac1 targeting in breast cancer: Guidance using optical window intravital FRET imaging. Cell Rep 2021; 36:109689. [PMID: 34525350 DOI: 10.1016/j.celrep.2021.109689] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 07/06/2021] [Accepted: 08/18/2021] [Indexed: 01/18/2023] Open
Abstract
Assessing drug response within live native tissue provides increased fidelity with regards to optimizing efficacy while minimizing off-target effects. Here, using longitudinal intravital imaging of a Rac1-Förster resonance energy transfer (FRET) biosensor mouse coupled with in vivo photoswitching to track intratumoral movement, we help guide treatment scheduling in a live breast cancer setting to impair metastatic progression. We uncover altered Rac1 activity at the center versus invasive border of tumors and demonstrate enhanced Rac1 activity of cells in close proximity to live tumor vasculature using optical window imaging. We further reveal that Rac1 inhibition can enhance tumor cell vulnerability to fluid-flow-induced shear stress and therefore improves overall anti-metastatic response to therapy during transit to secondary sites such as the lung. Collectively, this study demonstrates the utility of single-cell intravital imaging in vivo to demonstrate that Rac1 inhibition can reduce tumor progression and metastases in an autochthonous setting to improve overall survival.
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Affiliation(s)
- Alessia Floerchinger
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Kendelle J Murphy
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Sharissa L Latham
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Sean C Warren
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Andrew T McCulloch
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Young-Kyung Lee
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Janett Stoehr
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Pauline Mélénec
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Cris S Guaman
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Xanthe L Metcalf
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Victoria Lee
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Anaiis Zaratzian
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Andrew Da Silva
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Michael Tayao
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Sonia Rolo
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow G611BD, UK
| | - Monica Phimmachanh
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Ghazal Sultani
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Laura McDonald
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow G611BD, UK
| | - Susan M Mason
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow G611BD, UK
| | - Nicola Ferrari
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow G611BD, UK; Institute of Cancer Sciences, University of Glasgow, Switchback Road, Glasgow G111QH, UK
| | - Lisa M Ooms
- Cancer Program, Monash Biomedicine Discovery Institute, and Department of Biochemistry and Molecular Biology, Monash University, VIC 3800, Australia
| | | | - Heather J Spence
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Michael F Olson
- Department of Chemistry and Biology, Ryerson University, Toronto ON, M5B 2K3, Canada
| | - Laura M Machesky
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Owen J Sansom
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow G611BD, UK; Institute of Cancer Sciences, University of Glasgow, Switchback Road, Glasgow G111QH, UK
| | - Jennifer P Morton
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow G611BD, UK; Institute of Cancer Sciences, University of Glasgow, Switchback Road, Glasgow G111QH, UK
| | - Christina A Mitchell
- Cancer Program, Monash Biomedicine Discovery Institute, and Department of Biochemistry and Molecular Biology, Monash University, VIC 3800, Australia
| | - Michael S Samuel
- Centre for Cancer Biology, SA Pathology and University of South Australia; and the School of Medicine, University of Adelaide, Adelaide, SA 5000, Australia
| | - David R Croucher
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Heidi C E Welch
- Signalling Programme, Babraham Institute, Cambridge CB223AT, UK
| | - Karen Blyth
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow G611BD, UK; Institute of Cancer Sciences, University of Glasgow, Switchback Road, Glasgow G111QH, UK
| | - C Elizabeth Caldon
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - David Herrmann
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Kurt I Anderson
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow G611BD, UK; Francis Crick Institute, London NW11AT, UK
| | - Paul Timpson
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia.
| | - Max Nobis
- The Garvan Institute of Medical Research, St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia.
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7
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Aziz D, Portman N, Fernandez KJ, Lee C, Alexandrou S, Llop-Guevara A, Phan Z, Yong A, Wilkinson A, Sergio CM, Ferraro D, Etemadmoghadam D, Bowtell DD, Serra V, Waring P, Lim E, Caldon CE. Synergistic targeting of BRCA1 mutated breast cancers with PARP and CDK2 inhibition. NPJ Breast Cancer 2021; 7:111. [PMID: 34465787 PMCID: PMC8408175 DOI: 10.1038/s41523-021-00312-x] [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: 02/22/2020] [Accepted: 07/28/2021] [Indexed: 12/18/2022] Open
Abstract
Basal-like breast cancers (BLBC) are aggressive breast cancers that respond poorly to targeted therapies and chemotherapies. In order to define therapeutically targetable subsets of BLBC we examined two markers: cyclin E1 and BRCA1 loss. In high grade serous ovarian cancer (HGSOC) these markers are mutually exclusive, and define therapeutic subsets. We tested the same hypothesis for BLBC. Using a BLBC cohort enriched for BRCA1 loss, we identified convergence between BRCA1 loss and high cyclin E1 protein expression, in contrast to HGSOC in which CCNE1 amplification drives increased cyclin E1. In cell lines, BRCA1 loss was associated with stabilized cyclin E1 during the cell cycle, and BRCA1 siRNA led to increased cyclin E1 in association with reduced phospho-cyclin E1 T62. Mutation of cyclin E1 T62 to alanine increased cyclin E1 stability. We showed that tumors with high cyclin E1/BRCA1 mutation in the BLBC cohort also had decreased phospho-T62, supporting this hypothesis. Since cyclin E1/CDK2 protects cells from DNA damage and cyclin E1 is elevated in BRCA1 mutant cancers, we hypothesized that CDK2 inhibition would sensitize these cancers to PARP inhibition. CDK2 inhibition induced DNA damage and synergized with PARP inhibitors to reduce cell viability in cell lines with homologous recombination deficiency, including BRCA1 mutated cell lines. Treatment of BRCA1 mutant BLBC patient-derived xenograft models with combination PARP and CDK2 inhibition led to tumor regression and increased survival. We conclude that BRCA1 status and high cyclin E1 have potential as predictive biomarkers to dictate the therapeutic use of combination CDK inhibitors/PARP inhibitors in BLBC.
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Affiliation(s)
- Diar Aziz
- Centre for Translational Pathology, Department of Pathology and Department of Surgery, University of Melbourne, Parkville, VIC, Australia
- Peter MacCallum Cancer Institute, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
- Department of Surgery, University of Melbourne, Parkville, VIC, Australia
- Pathology Department, College of Medicine, University of Mosul, Mosul, Iraq
| | - Neil Portman
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Kristine J Fernandez
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Christine Lee
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Sarah Alexandrou
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Alba Llop-Guevara
- Experimental Therapeutics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Zoe Phan
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Aliza Yong
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Ashleigh Wilkinson
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - C Marcelo Sergio
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Danielle Ferraro
- Centre for Translational Pathology, Department of Pathology and Department of Surgery, University of Melbourne, Parkville, VIC, Australia
- Department of Surgery, University of Melbourne, Parkville, VIC, Australia
| | - Dariush Etemadmoghadam
- Peter MacCallum Cancer Institute, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - David D Bowtell
- Peter MacCallum Cancer Institute, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Violeta Serra
- Experimental Therapeutics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Paul Waring
- Centre for Translational Pathology, Department of Pathology and Department of Surgery, University of Melbourne, Parkville, VIC, Australia
- Department of Surgery, University of Melbourne, Parkville, VIC, Australia
| | - Elgene Lim
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - C Elizabeth Caldon
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, NSW, Australia.
- St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia.
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8
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Cancer Cell Invasion and Metastasis in Zebrafish Models (Danio rerio). Methods Mol Biol 2021; 2294:3-16. [PMID: 33742390 DOI: 10.1007/978-1-0716-1350-4_1] [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: 05/14/2023]
Abstract
Cancer cell vascular invasion and extravasation at metastatic sites are hallmarks of malignant progression of cancer and associated with poor disease outcome. Here we describe an in vivo approach to study the invasive ability of cancer cells into the vasculature and their hematogenous metastatic seeding in zebrafish (Danio rerio). In one approach, extravasation of fluorescently labeled cancer cells is monitored in zebrafish embryos whose vasculature is marked by a contrasting fluorescent reporter. After injection into the precardiac sinus of 2-day-old embryos, cancer cells can extravasate from the vasculature into tissues over the next few days. Extravasated cancer cells are identified and counted in live embryos via fluorescence microscopy. In a second approach, intravasation of cancer cells can be evaluated by changing their injection site to the yolk sac of zebrafish embryos. In addition to monitoring the impact of drivers of malignant progression, candidate inhibitors can be studied in this in vivo model system for their efficacy as well as their toxicity for the host.
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9
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Murphy KJ, Reed DA, Trpceski M, Herrmann D, Timpson P. Quantifying and visualising the nuances of cellular dynamics in vivo using intravital imaging. Curr Opin Cell Biol 2021; 72:41-53. [PMID: 34091131 DOI: 10.1016/j.ceb.2021.04.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/23/2021] [Accepted: 04/28/2021] [Indexed: 12/14/2022]
Abstract
Intravital imaging is a powerful technology used to quantify and track dynamic changes in live cells and tissues within an intact environment. The ability to watch cell biology in real-time 'as it happens' has provided novel insight into tissue homeostasis, as well as disease initiation, progression and response to treatment. In this minireview, we highlight recent advances in the field of intravital microscopy, touching upon advances in awake versus anaesthesia-based approaches, as well as the integration of biosensors into intravital imaging. We also discuss current challenges that, in our opinion, need to be overcome to further advance the field of intravital imaging at the single-cell, subcellular and molecular resolution to reveal nuances of cell behaviour that can be targeted in complex disease settings.
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Affiliation(s)
- Kendelle J Murphy
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Cancer Theme, Sydney, NSW, 2010, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, 2010, Australia
| | - Daniel A Reed
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Cancer Theme, Sydney, NSW, 2010, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, 2010, Australia
| | - Michael Trpceski
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Cancer Theme, Sydney, NSW, 2010, Australia
| | - David Herrmann
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Cancer Theme, Sydney, NSW, 2010, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, 2010, Australia.
| | - Paul Timpson
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Cancer Theme, Sydney, NSW, 2010, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, 2010, Australia.
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10
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Yan C, Zeng T, Lee K, Nobis M, Loh K, Gou L, Xia Z, Gao Z, Bensellam M, Hughes W, Lau J, Zhang L, Ip CK, Enriquez R, Gao H, Wang QP, Wu Q, Haigh JJ, Laybutt DR, Timpson P, Herzog H, Shi YC. Peripheral-specific Y1 receptor antagonism increases thermogenesis and protects against diet-induced obesity. Nat Commun 2021; 12:2622. [PMID: 33976180 PMCID: PMC8113522 DOI: 10.1038/s41467-021-22925-3] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 03/16/2021] [Indexed: 12/20/2022] Open
Abstract
Obesity is caused by an imbalance between food intake and energy expenditure (EE). Here we identify a conserved pathway that links signalling through peripheral Y1 receptors (Y1R) to the control of EE. Selective antagonism of peripheral Y1R, via the non-brain penetrable antagonist BIBO3304, leads to a significant reduction in body weight gain due to enhanced EE thereby reducing fat mass. Specifically thermogenesis in brown adipose tissue (BAT) due to elevated UCP1 is enhanced accompanied by extensive browning of white adipose tissue both in mice and humans. Importantly, selective ablation of Y1R from adipocytes protects against diet-induced obesity. Furthermore, peripheral specific Y1R antagonism also improves glucose homeostasis mainly driven by dynamic changes in Akt activity in BAT. Together, these data suggest that selective peripheral only Y1R antagonism via BIBO3304, or a functional analogue, could be developed as a safer and more effective treatment option to mitigate diet-induced obesity.
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Affiliation(s)
- Chenxu Yan
- Neuroscience Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia.,Diabetes and Metabolism Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia
| | - Tianshu Zeng
- Wuhan Union Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Kailun Lee
- Neuroscience Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia
| | - Max Nobis
- Invasion and Metastasis Lab, Cancer Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia.,Faculty of Medicine, UNSW Australia, Sydney, NSW, Australia
| | - Kim Loh
- Neuroscience Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia.,St. Vincent's Institute of Medical Research, Fitzroy, VIC, Australia
| | - Luoning Gou
- Wuhan Union Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zefeng Xia
- Wuhan Union Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhongmin Gao
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia
| | - Mohammed Bensellam
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia.,Institute of Experimental and Clinical Research, Pole of Endocrinology, Diabetes and Nutrition, Université catholique de Louvain, Brussels, Belgium
| | - Will Hughes
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia.,Faculty of Medicine, UNSW Australia, Sydney, NSW, Australia
| | - Jackie Lau
- Neuroscience Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia
| | - Lei Zhang
- Neuroscience Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia.,Faculty of Medicine, UNSW Australia, Sydney, NSW, Australia
| | - Chi Kin Ip
- Neuroscience Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia.,Faculty of Medicine, UNSW Australia, Sydney, NSW, Australia
| | - Ronaldo Enriquez
- Neuroscience Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia
| | - Hanyu Gao
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia
| | - Qiao-Ping Wang
- School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Qi Wu
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia
| | - Jody J Haigh
- Research Institute in Oncology and Hematology, Department of Pharmacology and Therapeutics, University of Manitoba, Winnipeg, MB, Canada
| | - D Ross Laybutt
- Diabetes and Metabolism Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia.,Faculty of Medicine, UNSW Australia, Sydney, NSW, Australia
| | - Paul Timpson
- Invasion and Metastasis Lab, Cancer Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia.,Faculty of Medicine, UNSW Australia, Sydney, NSW, Australia
| | - Herbert Herzog
- Neuroscience Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia. .,Faculty of Medicine, UNSW Australia, Sydney, NSW, Australia.
| | - Yan-Chuan Shi
- Neuroscience Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia. .,Diabetes and Metabolism Division, Garvan Institute of Medical Research, St Vincent's Hospital, Sydney, NSW, Australia. .,Faculty of Medicine, UNSW Australia, Sydney, NSW, Australia.
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11
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McDonald MM, Khoo WH, Ng PY, Xiao Y, Zamerli J, Thatcher P, Kyaw W, Pathmanandavel K, Grootveld AK, Moran I, Butt D, Nguyen A, Corr A, Warren S, Biro M, Butterfield NC, Guilfoyle SE, Komla-Ebri D, Dack MRG, Dewhurst HF, Logan JG, Li Y, Mohanty ST, Byrne N, Terry RL, Simic MK, Chai R, Quinn JMW, Youlten SE, Pettitt JA, Abi-Hanna D, Jain R, Weninger W, Lundberg M, Sun S, Ebetino FH, Timpson P, Lee WM, Baldock PA, Rogers MJ, Brink R, Williams GR, Bassett JHD, Kemp JP, Pavlos NJ, Croucher PI, Phan TG. Osteoclasts recycle via osteomorphs during RANKL-stimulated bone resorption. Cell 2021; 184:1330-1347.e13. [PMID: 33636130 PMCID: PMC7938889 DOI: 10.1016/j.cell.2021.02.002] [Citation(s) in RCA: 169] [Impact Index Per Article: 56.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 11/20/2020] [Accepted: 02/01/2021] [Indexed: 02/02/2023]
Abstract
Osteoclasts are large multinucleated bone-resorbing cells formed by the fusion of monocyte/macrophage-derived precursors that are thought to undergo apoptosis once resorption is complete. Here, by intravital imaging, we reveal that RANKL-stimulated osteoclasts have an alternative cell fate in which they fission into daughter cells called osteomorphs. Inhibiting RANKL blocked this cellular recycling and resulted in osteomorph accumulation. Single-cell RNA sequencing showed that osteomorphs are transcriptionally distinct from osteoclasts and macrophages and express a number of non-canonical osteoclast genes that are associated with structural and functional bone phenotypes when deleted in mice. Furthermore, genetic variation in human orthologs of osteomorph genes causes monogenic skeletal disorders and associates with bone mineral density, a polygenetic skeletal trait. Thus, osteoclasts recycle via osteomorphs, a cell type involved in the regulation of bone resorption that may be targeted for the treatment of skeletal diseases.
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Affiliation(s)
- Michelle M McDonald
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Weng Hua Khoo
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Pei Ying Ng
- Bone Biology & Disease Laboratory, School of Biomedical Sciences, University of Western Australia, Nedlands, WA, Australia
| | - Ya Xiao
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Jad Zamerli
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Peter Thatcher
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Wunna Kyaw
- Immunology Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | | | - Abigail K Grootveld
- Immunology Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Imogen Moran
- Immunology Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Danyal Butt
- Immunology Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Akira Nguyen
- Immunology Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Alexander Corr
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Sean Warren
- Cancer, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Maté Biro
- EMBL Australia, Single Molecule Science Node, School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Natalie C Butterfield
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
| | - Siobhan E Guilfoyle
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
| | - Davide Komla-Ebri
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
| | - Michael R G Dack
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
| | - Hannah F Dewhurst
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
| | - John G Logan
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
| | - Yongxiao Li
- John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - Sindhu T Mohanty
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Niall Byrne
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Rachael L Terry
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Marija K Simic
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Ryan Chai
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Julian M W Quinn
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Scott E Youlten
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Jessica A Pettitt
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - David Abi-Hanna
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Rohit Jain
- Immune Imaging Program, Centenary Institute, Sydney, NSW, Australia; Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Wolfgang Weninger
- Immune Imaging Program, Centenary Institute, Sydney, NSW, Australia; Sydney Medical School, University of Sydney, Sydney, NSW, Australia; Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Mischa Lundberg
- The University of Queensland Diamantina Institute, University of Queensland, Woolloongabba, QLD, Australia; Transformational Bioinformatics, Commonwealth Scientific and Industrial Research Organisation, Sydney, NSW, Australia
| | | | | | - Paul Timpson
- Cancer, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Woei Ming Lee
- John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - Paul A Baldock
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Michael J Rogers
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia
| | - Robert Brink
- St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia; Immunology Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Graham R Williams
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
| | - J H Duncan Bassett
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
| | - John P Kemp
- The University of Queensland Diamantina Institute, University of Queensland, Woolloongabba, QLD, Australia; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Nathan J Pavlos
- Bone Biology & Disease Laboratory, School of Biomedical Sciences, University of Western Australia, Nedlands, WA, Australia
| | - Peter I Croucher
- Healthy Ageing Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia; St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia.
| | - Tri Giang Phan
- St. Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia; Immunology Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia.
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12
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Nuclear F-actin counteracts nuclear deformation and promotes fork repair during replication stress. Nat Cell Biol 2020; 22:1460-1470. [PMID: 33257806 DOI: 10.1038/s41556-020-00605-6] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 10/26/2020] [Indexed: 12/25/2022]
Abstract
Filamentous actin (F-actin) provides cells with mechanical support and promotes the mobility of intracellular structures. Although F-actin is traditionally considered to be cytoplasmic, here we reveal that nuclear F-actin participates in the replication stress response. Using live and super-resolution imaging, we find that nuclear F-actin is polymerized in response to replication stress through a pathway regulated by ATR-dependent activation of mTORC1, and nucleation through IQGAP1, WASP and ARP2/3. During replication stress, nuclear F-actin increases the nuclear volume and sphericity to counteract nuclear deformation. Furthermore, F-actin and myosin II promote the mobility of stressed-replication foci to the nuclear periphery through increasingly diffusive motion and directed movements along the nuclear actin filaments. These actin functions promote replication stress repair and suppress chromosome and mitotic abnormalities. Moreover, we find that nuclear F-actin is polymerized in vivo in xenograft tumours after treatment with replication-stress-inducing chemotherapeutic agents, indicating that this pathway has a role in human disease.
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13
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Margarido AS, Bornes L, Vennin C, van Rheenen J. Cellular Plasticity during Metastasis: New Insights Provided by Intravital Microscopy. Cold Spring Harb Perspect Med 2020; 10:cshperspect.a037267. [PMID: 31615867 DOI: 10.1101/cshperspect.a037267] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Metastasis is a highly dynamic process during which cancer and microenvironmental cells undergo a cascade of events required for efficient dissemination throughout the body. During the metastatic cascade, tumor cells can change their state and behavior, a phenomenon commonly defined as cellular plasticity. To monitor cellular plasticity during metastasis, high-resolution intravital microscopy (IVM) techniques have been developed and allow us to visualize individual cells by repeated imaging in animal models. In this review, we summarize the latest technological advancements in the field of IVM and how they have been applied to monitor metastatic events. In particular, we highlight how longitudinal imaging in native tissues can provide new insights into the plastic physiological and developmental processes that are hijacked by cancer cells during metastasis.
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Affiliation(s)
- Andreia S Margarido
- Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, The Netherlands
| | - Laura Bornes
- Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, The Netherlands
| | - Claire Vennin
- Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, The Netherlands
| | - Jacco van Rheenen
- Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, The Netherlands
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14
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Deal J, Pleshinger DJ, Johnson SC, Leavesley SJ, Rich TC. Milestones in the development and implementation of FRET-based sensors of intracellular signals: A biological perspective of the history of FRET. Cell Signal 2020; 75:109769. [PMID: 32898611 DOI: 10.1016/j.cellsig.2020.109769] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/28/2020] [Accepted: 08/31/2020] [Indexed: 01/24/2023]
Abstract
Fӧrster resonance energy transfer (FRET) has been described for more than a century. FRET has become a mainstay for the study of protein localization in living cells and tissues. It has also become widely used in the fields that comprise cellular signaling. FRET-based probes have been developed to monitor second messenger signals, the phosphorylation state of peptides and proteins, and subsequent cellular responses. Here, we discuss the milestones that led to FRET becoming a widely used tool for the study of biological systems: the theoretical description of FRET, the insight to use FRET as a molecular ruler, and the isolation and genetic modification of green fluorescent protein (GFP). Each of these milestones were critical to the development of a myriad of FRET-based probes and reporters in common use today. FRET-probes offer a unique opportunity to interrogate second messenger signals and subsequent protein phosphorylation - and perhaps the most effective approach for study of cAMP/PKA pathways. As such, FRET probes are widely used in the study of intracellular signaling pathways. Yet, somehow, the potential of FRET-based probes to provide windows through which we can visualize complex cellular signaling systems has not been fully reached. Hence we conclude by discussing the technical challenges to be overcome if FRET-based probes are to live up to their potential for the study of complex signaling networks.
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Affiliation(s)
- J Deal
- Basic Medical Sciences Graduate Program, University of South Alabama, Mobile, AL 36688, USA; Center for Lung Biology, Departments of Biomolecular Engineering, University of South Alabama, Mobile, AL 36688, USA
| | - D J Pleshinger
- Center for Lung Biology, Departments of Biomolecular Engineering, University of South Alabama, Mobile, AL 36688, USA; Pharmacology and Biomolecular Engineering, University of South Alabama, Mobile, AL 36688, USA
| | - S C Johnson
- Basic Medical Sciences Graduate Program, University of South Alabama, Mobile, AL 36688, USA; Pharmacology and Biomolecular Engineering, University of South Alabama, Mobile, AL 36688, USA
| | - S J Leavesley
- Basic Medical Sciences Graduate Program, University of South Alabama, Mobile, AL 36688, USA; Center for Lung Biology, Departments of Biomolecular Engineering, University of South Alabama, Mobile, AL 36688, USA; Pharmacology and Biomolecular Engineering, University of South Alabama, Mobile, AL 36688, USA; Chemical and Biomolecular Engineering, University of South Alabama, Mobile, AL 36688, USA
| | - T C Rich
- Basic Medical Sciences Graduate Program, University of South Alabama, Mobile, AL 36688, USA; Center for Lung Biology, Departments of Biomolecular Engineering, University of South Alabama, Mobile, AL 36688, USA; Pharmacology and Biomolecular Engineering, University of South Alabama, Mobile, AL 36688, USA.
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15
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Barkauskas DS, Medley G, Liang X, Mohammed YH, Thorling CA, Wang H, Roberts MS. Using in vivo multiphoton fluorescence lifetime imaging to unravel disease-specific changes in the liver redox state. Methods Appl Fluoresc 2020; 8:034003. [PMID: 32422610 DOI: 10.1088/2050-6120/ab93de] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Multiphoton fluorescence lifetime microscopy has revolutionized studies of pathophysiological and xenobiotic dynamics, enabling the spatial and temporal quantification of these processes in intact organs in vivo. We have previously used multiphoton fluorescence lifetime microscopy to characterise the morphology and amplitude weighted mean fluorescence lifetime of the endogenous fluorescent metabolic cofactor nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) of mouse livers in vivo following induction of various disease states. Here, we extend the characterisation of liver disease models by using nonlinear regression to estimate the unbound, bound fluorescence lifetimes for NAD(P)H, flavin adenine dinucleotide (FAD), along with metabolic ratios and examine the impact of using multiple segmentation methods. We found that NAD(P)H amplitude ratio, and fluorescence lifetime redox ratio can be used as discriminators of diseased liver from normal liver. The redox ratio provided a sensitive measure of the changes in hepatic fibrosis and biliary fibrosis. Hepatocellular carcinoma was associated with an increase in spatial heterogeneity and redox ratio coupled with a decrease in mean fluorescence lifetime. We conclude that multiphoton fluorescence lifetime microscopy parameters and metabolic ratios provided insights into the in vivo redox state of diseased compared to normal liver that were not apparent from a global, mean fluorescence lifetime measurement alone.
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Affiliation(s)
- Deborah S Barkauskas
- Therapeutics Research Group, University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia
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16
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Datta R, Heaster TM, Sharick JT, Gillette AA, Skala MC. Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-43. [PMID: 32406215 PMCID: PMC7219965 DOI: 10.1117/1.jbo.25.7.071203] [Citation(s) in RCA: 304] [Impact Index Per Article: 76.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/24/2020] [Indexed: 05/18/2023]
Abstract
SIGNIFICANCE Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique to distinguish the unique molecular environment of fluorophores. FLIM measures the time a fluorophore remains in an excited state before emitting a photon, and detects molecular variations of fluorophores that are not apparent with spectral techniques alone. FLIM is sensitive to multiple biomedical processes including disease progression and drug efficacy. AIM We provide an overview of FLIM principles, instrumentation, and analysis while highlighting the latest developments and biological applications. APPROACH This review covers FLIM principles and theory, including advantages over intensity-based fluorescence measurements. Fundamentals of FLIM instrumentation in time- and frequency-domains are summarized, along with recent developments. Image segmentation and analysis strategies that quantify spatial and molecular features of cellular heterogeneity are reviewed. Finally, representative applications are provided including high-resolution FLIM of cell- and organelle-level molecular changes, use of exogenous and endogenous fluorophores, and imaging protein-protein interactions with Förster resonance energy transfer (FRET). Advantages and limitations of FLIM are also discussed. CONCLUSIONS FLIM is advantageous for probing molecular environments of fluorophores to inform on fluorophore behavior that cannot be elucidated with intensity measurements alone. Development of FLIM technologies, analysis, and applications will further advance biological research and clinical assessments.
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Affiliation(s)
- Rupsa Datta
- Morgridge Institute for Research, Madison, Wisconsin, United States
| | - Tiffany M. Heaster
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Joe T. Sharick
- Morgridge Institute for Research, Madison, Wisconsin, United States
| | - Amani A. Gillette
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Melissa C. Skala
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin, Department of Biomedical Engineering, Madison, Wisconsin, United States
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17
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Matsuda M, Terai K. Experimental pathology by intravital microscopy and genetically encoded fluorescent biosensors. Pathol Int 2020; 70:379-390. [PMID: 32270554 PMCID: PMC7383902 DOI: 10.1111/pin.12925] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 03/13/2020] [Accepted: 03/16/2020] [Indexed: 01/03/2023]
Abstract
The invention of two‐photon excitation microscopes widens the potential application of intravital microscopy (IVM) to the broad field of experimental pathology. Moreover, the recent development of fluorescent protein‐based, genetically encoded biosensors provides an ideal tool to visualize the cell function in live animals. We start from a brief review of IVM with two‐photon excitation microscopes and genetically encoded biosensors based on the principle of Förster resonance energy transfer (FRET). Then, we describe how IVM using biosensors has revealed the pathogenesis of several disease models.
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Affiliation(s)
- Michiyuki Matsuda
- Department of Pathology and Biology of Diseases, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Research Center for Dynamic Living Systems, Graduate School of Biostudies, Kyoto University, Kyoto, Japan
| | - Kenta Terai
- Research Center for Dynamic Living Systems, Graduate School of Biostudies, Kyoto University, Kyoto, Japan
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18
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Ito S, Hashimoto M, Taguchi Y. Development of a Robust Autofluorescence Lifetime Sensing Method for Use in an Endoscopic Application. SENSORS 2020; 20:s20071847. [PMID: 32225086 PMCID: PMC7180751 DOI: 10.3390/s20071847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 03/17/2020] [Accepted: 03/24/2020] [Indexed: 12/28/2022]
Abstract
Endoscopic autofluorescence lifetime imaging is a promising technique for making quantitative and non-invasive diagnoses of abnormal tissue. However, motion artifacts caused by vibration in the direction perpendicular to the tissue surface in a body makes clinical diagnosis difficult. Thus, this paper proposes a robust autofluorescence lifetime sensing technique with a lens tracking system based on a laser beam spot analysis. Our optical setup can be easily mounted on the head of an endoscope. The variation in distance between the optical system and the target surface is tracked by the change in the spot size of the laser beam captured by the camera, and the lens actuator is feedback-controlled to suppress motion artifacts. The experimental results show that, when using a lens tracking system, the standard deviation of fluorescence lifetime is dramatically reduced. Furthermore, the validity of the proposed method is experimentally confirmed by using a bio-mimicking phantom that replicates the shape, optical parameters, and chemical component distribution of the cancerous tissue.
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Affiliation(s)
- Shuntaro Ito
- School of Integrated Design Engineering, Keio University, 3-14-1, Hiyoshi, Yokohama 223-8522, Japan; (S.I.); (M.H.)
| | - Masaaki Hashimoto
- School of Integrated Design Engineering, Keio University, 3-14-1, Hiyoshi, Yokohama 223-8522, Japan; (S.I.); (M.H.)
- Research Fellow of Japan Society for the Promotion of Science, 5-3-1 Kojimachi, Tokyo 102-0083, Japan
| | - Yoshihiro Taguchi
- Department of System Design Engineering, Keio University, 3-14-1, Hiyoshi, Yokohama 223-8522, Japan
- Correspondence: ; Tel.: +81-45-566-1809
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19
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Ueki H, Wang IH, Zhao D, Gunzer M, Kawaoka Y. Multicolor two-photon imaging of in vivo cellular pathophysiology upon influenza virus infection using the two-photon IMPRESS. Nat Protoc 2020; 15:1041-1065. [PMID: 31996843 PMCID: PMC7086515 DOI: 10.1038/s41596-019-0275-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 12/03/2019] [Indexed: 12/14/2022]
Abstract
In vivo two-photon imaging is a valuable technique for studies of viral pathogenesis and host responses to infection in vivo. In this protocol, we describe a methodology for analyzing influenza virus-infected lung in vivo by two-photon imaging microscopy. We describe the surgical procedure, how to stabilize the lung, and an approach to analyzing the data. Further, we provide a database of fluorescent dyes, antibodies, and reporter mouse lines that can be used in combination with a reporter influenza virus (Color-flu) for multicolor analysis. Setup of this model typically takes ~30 min and enables the observation of influenza virus-infected lungs for >4 h during the acute phase of the inflammation and at least 1 h in the lethal phase. This imaging system, which we termed two-photon IMPRESS (imaging pathophysiology research system), is broadly applicable to analyses of other respiratory pathogens and reveals disease progression at the cellular level in vivo.
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Affiliation(s)
- Hiroshi Ueki
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - I-Hsuan Wang
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Dongming Zhao
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, People's Republic of China
| | - Matthias Gunzer
- Institute for Experimental Immunology and Imaging, University Hospital, University Duisburg-Essen, Essen, Germany
| | - Yoshihiro Kawaoka
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
- Department of Special Pathogens, International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
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20
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Follain G, Herrmann D, Harlepp S, Hyenne V, Osmani N, Warren SC, Timpson P, Goetz JG. Fluids and their mechanics in tumour transit: shaping metastasis. Nat Rev Cancer 2020; 20:107-124. [PMID: 31780785 DOI: 10.1038/s41568-019-0221-x] [Citation(s) in RCA: 207] [Impact Index Per Article: 51.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/21/2019] [Indexed: 02/07/2023]
Abstract
Metastasis is a dynamic succession of events involving the dissemination of tumour cells to distant sites within the body, ultimately reducing the survival of patients with cancer. To colonize distant organs and, therefore, systemically disseminate within the organism, cancer cells and associated factors exploit several bodily fluid systems, which provide a natural transportation route. Indeed, the flow mechanics of the blood and lymphatic circulatory systems can be co-opted to improve the efficiency of cancer cell transit from the primary tumour, extravasation and metastatic seeding. Flow rates, vessel size and shear stress can all influence the survival of cancer cells in the circulation and control organotropic seeding patterns. Thus, in addition to using these fluids as a means to travel throughout the body, cancer cells exploit the underlying physical forces within these fluids to successfully seed distant metastases. In this Review, we describe how circulating tumour cells and tumour-associated factors leverage bodily fluids, their underlying forces and imposed stresses during metastasis. As the contribution of bodily fluids and their mechanics raises interesting questions about the biology of the metastatic cascade, an improved understanding of this process might provide a new avenue for targeting cancer cells in transit.
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Affiliation(s)
- Gautier Follain
- INSERM UMR_S1109, Tumor Biomechanics, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
| | - David Herrmann
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- St. Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Sébastien Harlepp
- INSERM UMR_S1109, Tumor Biomechanics, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
| | - Vincent Hyenne
- INSERM UMR_S1109, Tumor Biomechanics, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
- CNRS SNC 505, Strasbourg, France
| | - Naël Osmani
- INSERM UMR_S1109, Tumor Biomechanics, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
| | - Sean C Warren
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- St. Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Paul Timpson
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
- St. Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
| | - Jacky G Goetz
- INSERM UMR_S1109, Tumor Biomechanics, Strasbourg, France.
- Université de Strasbourg, Strasbourg, France.
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.
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21
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Perrin L, Bayarmagnai B, Gligorijevic B. Frontiers in Intravital Multiphoton Microscopy of Cancer. Cancer Rep (Hoboken) 2020; 3:e1192. [PMID: 32368722 PMCID: PMC7197974 DOI: 10.1002/cnr2.1192] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 03/12/2019] [Accepted: 03/21/2019] [Indexed: 12/23/2022] Open
Abstract
Background Cancer is a highly complex disease which involves the co-operation of tumor cells with multiple types of host cells and the extracellular matrix. Cancer studies which rely solely on static measurements of individual cell types are insufficient to dissect this complexity. In the last two decades, intravital microscopy has established itself as a powerful technique that can significantly improve our understanding of cancer by revealing the dynamic interactions governing cancer initiation, progression and treatment effects, in living animals. This review focuses on intravital multiphoton microscopy (IV-MPM) applications in mouse models of cancer. Recent Findings IV-MPM studies have already enabled a deeper understanding of the complex events occurring in cancer, at the molecular, cellular and tissue levels. Multiple cells types, present in different tissues, influence cancer cell behavior via activation of distinct signaling pathways. As a result, the boundaries in the field of IV-MPM are continuously being pushed to provide an integrated comprehension of cancer. We propose that optics, informatics and cancer (cell) biology are co-evolving as a new field. We have identified four emerging themes in this new field. First, new microscopy systems and image processing algorithms are enabling the simultaneous identification of multiple interactions between the tumor cells and the components of the tumor microenvironment. Second, techniques from molecular biology are being exploited to visualize subcellular structures and protein activities within individual cells of interest, and relate those to phenotypic decisions, opening the door for "in vivo cell biology". Third, combining IV-MPM with additional imaging modalities, or omics studies, holds promise for linking the cell phenotype to its genotype, metabolic state or tissue location. Finally, the clinical use of IV-MPM for analyzing efficacy of anti-cancer treatments is steadily growing, suggesting a future role of IV-MPM for personalized medicine. Conclusion IV-MPM has revolutionized visualization of tumor-microenvironment interactions in real time. Moving forward, incorporation of novel optics, automated image processing, and omics technologies, in the study of cancer biology, will not only advance our understanding of the underlying complexities but will also leverage the unique aspects of IV-MPM for clinical use.
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Affiliation(s)
- Louisiane Perrin
- Department of BioengineeringTemple UniversityPhiladelphiaPennsylvania
| | | | - Bojana Gligorijevic
- Department of BioengineeringTemple UniversityPhiladelphiaPennsylvania
- Fox Chase Cancer CenterCancer Biology ProgramPhiladelphiaPennsylvania
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22
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Mohammed YH, Barkauskas DS, Holmes A, Grice J, Roberts MS. Noninvasive in vivo human multiphoton microscopy: a key method in proving nanoparticulate zinc oxide sunscreen safety. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-19. [PMID: 31939224 PMCID: PMC7008509 DOI: 10.1117/1.jbo.25.1.014509] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 12/03/2019] [Indexed: 05/27/2023]
Abstract
We describe the contribution of our in vivo multiphoton microscopy (MPM) studies over the last ten years with DermaInspect;® (JenLab, Germany), a CE-certified medical tomograph based on detection of fluorescent biomolecules, to the assessment of possible penetration of nanoparticulate zinc oxide in sunscreen through human skin. At the time we started our work, there was a strong movement for the precautionary principle to be applied to the use of nanoparticles in consumer products due to a lack of knowledge. The combined application of different MPM modalities, including spectral imaging, fluorescence lifetime imaging, second harmonic fluorescence generation, and phosphorescence microscopy, has provided overwhelming evidence that nanoparticle zinc oxide particles do not penetrate human skin when applied to various skin types with a range of methods of topical sunscreen application. MPM has also been used to study the viable epidermal morphology and redox state in supporting the safe use of topical zinc oxide nanoparticles. The impact of this work is emphasized by the recent proposed rule by the United States FDA on Sunscreen Drug Products for Over-the-Counter Human Use, which listed only zinc oxide and titanium dioxide of the currently marketed products to be generally recognized as safe and effective.
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Affiliation(s)
- Yousuf H. Mohammed
- University of Queensland, University of Queensland Diamantina Institute, Therapeutics Research Group, Woolloongabba, Queensland, Australia
| | - Deborah S. Barkauskas
- University of Queensland, University of Queensland Diamantina Institute, Therapeutics Research Group, Woolloongabba, Queensland, Australia
| | - Amy Holmes
- University of South Australia, Basil Hetzel Institute for Translational Medical Research, The Queen Elizabeth Hospital, School of Pharmacy and Medical Sciences, Adelaide, Australia
| | - Jeffrey Grice
- University of Queensland, University of Queensland Diamantina Institute, Therapeutics Research Group, Woolloongabba, Queensland, Australia
| | - Michael S. Roberts
- University of Queensland, University of Queensland Diamantina Institute, Therapeutics Research Group, Woolloongabba, Queensland, Australia
- University of South Australia, Basil Hetzel Institute for Translational Medical Research, The Queen Elizabeth Hospital, School of Pharmacy and Medical Sciences, Adelaide, Australia
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23
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Multiscale Imaging of Metastasis in Zebrafish. Trends Cancer 2019; 5:766-778. [DOI: 10.1016/j.trecan.2019.10.003] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 10/11/2019] [Accepted: 10/14/2019] [Indexed: 12/12/2022]
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24
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Di Martino JS, Mondal C, Bravo-Cordero JJ. Textures of the tumour microenvironment. Essays Biochem 2019; 63:619-629. [PMID: 31654075 PMCID: PMC6839695 DOI: 10.1042/ebc20190019] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 09/09/2019] [Accepted: 09/10/2019] [Indexed: 02/07/2023]
Abstract
In this review, we present recent findings on the dynamic nature of the tumour microenvironment (TME) and how intravital microscopy studies have defined TME components in a spatiotemporal manner. Intravital microscopy has shed light into the nature of the TME, revealing structural details of both tumour cells and other TME co-habitants in vivo, how these cells communicate with each other, and how they are organized in three-dimensional space to orchestrate tumour growth, invasion, dissemination and metastasis. We will review different imaging tools, imaging reporters and fate-mapping strategies that have begun to uncover the complexity of the TME in vivo.
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Affiliation(s)
- Julie S Di Martino
- Department of Medicine, Division of Hematology and Oncology, The Tisch Cancer Institute, Icahn School of Medicine at
Mount Sinai, New York, New York, USA
| | - Chandrani Mondal
- Department of Medicine, Division of Hematology and Oncology, The Tisch Cancer Institute, Icahn School of Medicine at
Mount Sinai, New York, New York, USA
| | - Jose Javier Bravo-Cordero
- Department of Medicine, Division of Hematology and Oncology, The Tisch Cancer Institute, Icahn School of Medicine at
Mount Sinai, New York, New York, USA
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25
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Laine RF, Sinnige T, Ma KY, Haack AJ, Poudel C, Gaida P, Curry N, Perni M, Nollen EA, Dobson CM, Vendruscolo M, Kaminski Schierle GS, Kaminski CF. Fast Fluorescence Lifetime Imaging Reveals the Aggregation Processes of α-Synuclein and Polyglutamine in Aging Caenorhabditis elegans. ACS Chem Biol 2019; 14:1628-1636. [PMID: 31246415 PMCID: PMC7612977 DOI: 10.1021/acschembio.9b00354] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The nematode worm Caenorhabditis elegans has emerged as an important model organism in the study of the molecular mechanisms of protein misfolding diseases associated with amyloid formation because of its small size, ease of genetic manipulation, and optical transparency. Obtaining a reliable and quantitative read-out of protein aggregation in this system, however, remains a challenge. To address this problem, we here present a fast time-gated fluorescence lifetime imaging (TG-FLIM) method and show that it provides functional insights into the process of protein aggregation in living animals by enabling the rapid characterization of different types of aggregates. Specifically, in longitudinal studies of C. elegans models of Parkinson's and Huntington's diseases, we observed marked differences in the aggregation kinetics and the nature of the protein inclusions formed by α-synuclein and polyglutamine. In particular, we found that α-synuclein inclusions do not display amyloid-like features until late in the life of the worms, whereas polyglutamine forms amyloid characteristics rapidly in early adulthood. Furthermore, we show that the TG-FLIM method is capable of imaging live and non-anaesthetized worms moving in specially designed agarose microchambers. Taken together, our results show that the TG-FLIM method enables high-throughput functional imaging of living C. elegans that can be used to study in vivo mechanisms of protein aggregation and that has the potential to aid the search for therapeutic modifiers of protein aggregation and toxicity.
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Affiliation(s)
- Romain F. Laine
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
| | - Tessa Sinnige
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom
| | - Kai Yu Ma
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom
| | - Amanda J. Haack
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
- Molecular Neuroscience Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
| | - Chetan Poudel
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
| | - Peter Gaida
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
| | - Nathan Curry
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
| | - Michele Perni
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom
| | - Ellen A.A. Nollen
- European Research Institute for the Biology of Ageing, University Medical Centre Groningen, 9700 AD Groningen, The Netherlands
| | - Christopher M. Dobson
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom
| | - Michele Vendruscolo
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom
| | - Gabriele S. Kaminski Schierle
- Molecular Neuroscience Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
| | - Clemens F. Kaminski
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
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26
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Dilipkumar A, Al‐Shemmary A, Kreiß L, Cvecek K, Carlé B, Knieling F, Gonzales Menezes J, Thoma O, Schmidt M, Neurath MF, Waldner M, Friedrich O, Schürmann S. Label-Free Multiphoton Endomicroscopy for Minimally Invasive In Vivo Imaging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2019; 6:1801735. [PMID: 31016109 PMCID: PMC6468963 DOI: 10.1002/advs.201801735] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 01/29/2019] [Indexed: 05/24/2023]
Abstract
Multiphoton microscopy of cellular autofluorescence and second harmonic generation from collagen facilitates imaging of living cells and tissues without the need for additional fluorescent labels. Here, a compact multiphoton endomicroscope for label-free in vivo imaging in small animals via side-viewing needle objectives is presented. Minimal invasive imaging at cellular resolution is performed in colonoscopy of mice without surgical measures and without fluorescent dyes as a contrast agent. The colon mucosa is imaged repeatedly in the same animal in a mouse model of acute intestinal inflammation to study the process of inflammation at the tissue level within a time period of ten days, demonstrating the capabilities of label-free endomicroscopy for longitudinal studies for the first time.
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Affiliation(s)
- Ashwathama Dilipkumar
- Institute of Medical BiotechnologyFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 391052ErlangenGermany
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
| | - Alaa Al‐Shemmary
- Institute of Medical BiotechnologyFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 391052ErlangenGermany
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
| | - Lucas Kreiß
- Institute of Medical BiotechnologyFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 391052ErlangenGermany
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
| | - Kristian Cvecek
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
- Institute of Photonic TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Konrad‐Zuse‐Str. 3–591052ErlangenGermany
| | - Birgitta Carlé
- Institute of Medical BiotechnologyFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 391052ErlangenGermany
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
| | - Ferdinand Knieling
- Department of Internal Medicine 1University Hospital ErlangenUlmenweg 1891054ErlangenGermany
- Department of Pediatrics and Adolescent MedicineUniversity Hospital ErlangenLoschgestr. 1591054ErlangenGermany
| | - Jean Gonzales Menezes
- Department of Internal Medicine 1University Hospital ErlangenUlmenweg 1891054ErlangenGermany
| | - Oana‐Maria Thoma
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
- Department of Internal Medicine 1University Hospital ErlangenUlmenweg 1891054ErlangenGermany
| | - Michael Schmidt
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
- Institute of Photonic TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Konrad‐Zuse‐Str. 3–591052ErlangenGermany
| | - Markus F. Neurath
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
- Department of Internal Medicine 1University Hospital ErlangenUlmenweg 1891054ErlangenGermany
| | - Maximilian Waldner
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
- Department of Internal Medicine 1University Hospital ErlangenUlmenweg 1891054ErlangenGermany
| | - Oliver Friedrich
- Institute of Medical BiotechnologyFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 391052ErlangenGermany
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
| | - Sebastian Schürmann
- Institute of Medical BiotechnologyFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 391052ErlangenGermany
- Erlangen Graduate School in Advanced Optical TechnologiesFriedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU)Paul‐Gordan‐Str. 791052ErlangenGermany
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27
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Tify: A quality-based frame selection tool for improving the output of unstable biomedical imaging. PLoS One 2019; 14:e0213162. [PMID: 30856207 PMCID: PMC6411139 DOI: 10.1371/journal.pone.0213162] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 02/17/2019] [Indexed: 11/19/2022] Open
Abstract
The ability to image biological tissues is critical to our understanding of a range of systems and processes. In the case of in situ living tissue, such imaging is hampered by the innate mechanical properties of the tissue. In many cases, this provides challenges in how to process large amounts of image data which may contain aberrations from movement. Generally, current tools require the provision of reference images and are unable to maintain temporal correlations within an image set. Here, we describe a tool-Tify-which can accurately predict a numerical quality score versus human scoring and can analyse image sets in a manner that allows the maintenance of temporal relationships. The tool uses regression-based techniques to link image statistics to image quality based on user provided scores from a sample of images. Scores calculated by the software correlate strongly with the scores provided by human users. We identified that, in most cases, the software requires users to score between 20-30 frames in order to be able to accurately calculate the remaining images. Importantly, our results suggest that the software can use coefficients generated from consolidated image sets to process images without the need for additional manual scoring. Finally, the tool is able to use a frame windowing technique to identify the highest quality frame from a moving window, thus retaining macro-chronological connections between frames. In summary, Tify is able to successfully predict the quality of images in an image set based on a small number of sample scores provided by end-users. This software has the potential to improve the effectiveness of biological imaging techniques where motion artefacts, even in the presence of stabilisation, pose a significant problem.
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28
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Toolbox for In Vivo Imaging of Host-Parasite Interactions at Multiple Scales. Trends Parasitol 2019; 35:193-212. [PMID: 30745251 DOI: 10.1016/j.pt.2019.01.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 01/04/2019] [Accepted: 01/04/2019] [Indexed: 12/19/2022]
Abstract
Animal models have for long been pivotal for parasitology research. Over the last few years, techniques such as intravital, optoacoustic and magnetic resonance imaging, optical projection tomography, and selective plane illumination microscopy developed promising potential for gaining insights into host-pathogen interactions by allowing different visualization forms in vivo and ex vivo. Advances including increased resolution, penetration depth, and acquisition speed, together with more complex image analysis methods, facilitate tackling biological problems previously impossible to study and/or quantify. Here we discuss advances and challenges in the in vivo imaging toolbox, which hold promising potential for the field of parasitology.
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29
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Beadnell T, Borriello L, Christenson J, Fornetti J, Guldner I, Hanna A, Kyjacova L, Marinak-Whately K, de Melo Martins PC, Rotinen M, Te Boekhorst V, Cox TR. Meeting report: Metastasis Research Society (MRS) 17th Biennial conference and associated Young Investigator Satellite Meeting (YISM) on cancer metastasis. Clin Exp Metastasis 2019; 36:119-137. [PMID: 30673912 DOI: 10.1007/s10585-018-09953-y] [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: 12/20/2018] [Accepted: 12/31/2018] [Indexed: 11/24/2022]
Abstract
The Metastasis Research Society (MRS) 17th Biennial conference on metastasis was held on the 1st to the 5th of August 2018 at Princeton University, NJ, USA. The meeting was held around themes addressing notable aspects of the understanding and treatment of metastasis and metastatic disease covering basic, translational, and clinical research. Importantly, the meeting was largely supported by our patient advocate partners including Susan G. Komen for the Cure, Theresa's Research Foundation and METAvivor. There were a total of 85 presentations from invited and selected speakers spread across the main congress and presentations from the preceding Young Investigator Satellite Meeting. Presentations are summarized in this report by session topic.
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Affiliation(s)
- Thomas Beadnell
- Department of Cancer Biology, The Kansas University Medical Center, and The University of Kansas Cancer Center, Kansas City, KS, 66160, USA
| | - Lucia Borriello
- Department of Anatomy and Structural Biology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.,Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Jessica Christenson
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jaime Fornetti
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, 84112, USA
| | - Ian Guldner
- Department of Biological Sciences, College of Science, University of Notre Dame, Notre Dame, IN, USA
| | - Ann Hanna
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Lenka Kyjacova
- European Center for Angioscience (ECAS), Medical Faculty Mannheim, University of Heidelberg, 681 67, Mannheim, Germany
| | - Kristina Marinak-Whately
- WVU Cancer Institute, Cancer Cell Biology, West Virginia School of Medicine, Morgantown, WV, USA
| | | | - Mirja Rotinen
- Division of Cancer Biology and Therapeutics, Departments of Surgery & Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Veronika Te Boekhorst
- David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, 77030, Houston, TX, USA.,Department of Cell Biology, Radboud University Medical Centre, 6525GA, Nijmegen, The Netherlands
| | - Thomas R Cox
- Cancer Division, Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW, Australia. .,Faculty of Medicine, St Vincent's Clinical School, UNSW Sydney, Sydney, NSW, Australia.
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