3 articles published in JoVE
Induction and Micro-CT Imaging of Cerebral Cavernous Malformations in Mouse Model Jaesung P. Choi1,2, Xi Yang3, Matthew Foley4, Xian Wang1, Xiangjian Zheng1,2,3 1Lab of Cardiovascular Signaling, Centenary Institute, 2Faculty of Medicine, Sydney Medical School, University of Sydney, 3Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, 4Australian Centre for Microscopy & Microanalysis, University of Sydney This protocol demonstrates the induction of cerebral cavernous malformation disease in a mouse model and uses contrast enhanced micro computed tomography to measure lesion burden. This method enhances the value of established mouse models to study the molecular basis and potential therapies for cerebral cavernous malformation and other cerebrovascular diseases.
Inducing Ischemia-reperfusion Injury in the Mouse Ear Skin for Intravital Multiphoton Imaging of Immune Responses Chi Ching Goh1,2, Jackson LiangYao Li1, David Becker3, Wolfgang Weninger4,5,6, Veronique Angeli2,7, Lai Guan Ng1,2,5,8 1Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Biopolis, 2Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 3Lee Kong Chian School of Medicine, Nanyang Technological University, 4Centenary Institute for Cancer Medicine and Cell Biology, 5Discipline of Dermatology, University of Sydney, 6Department of Dermatology, Royal Prince Alfred Hospital, 7LSI Immunology Programme, National University of Singapore, 8School of Biological Sciences, Nanyang Technological University This protocol describes the induction of an ischemia-reperfusion (IR) model on mouse ear skin using magnet clamping. Using a custom-built intravital imaging model, we study in vivo inflammatory responses post-reperfusion. The rationale behind the development of this technique is to extend the understanding of how leukocytes respond to skin IR injury.
Imaging- and Flow Cytometry-based Analysis of Cell Position and the Cell Cycle in 3D Melanoma Spheroids Kimberley A. Beaumont1,2, Andrea Anfosso1,2, Farzana Ahmed3, Wolfgang Weninger*1,4,5, Nikolas K. Haass*1,3,5 1The Centenary Institute, 2Sydney Medical School, University of Sydney, 3The University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, 4Department of Dermatology, Royal Prince Alfred Hospital, 5Discipline of Dermatology, University of Sydney We describe two complementary methods using the fluorescence ubiquitination cell cycle indicator (FUCCI) and image analysis or flow cytometry to identify and isolate cells in the inner G1 arrested and outer proliferating regions of 3D spheroids.