3 articles published in JoVE
Methods for Detecting Cytotoxic Amyloids Following Infection of Pulmonary Endothelial Cells by Pseudomonas aeruginosa Ron Balczon1,4, Michael Francis2,4, Silas Leavesley3,4, Troy Stevens2,4 1Department of Biochemistry and Molecular Biology, University of South Alabama, 2Department of Physiology and Cell Biology, University of South Alabama, 3Department of Chemical and Biomolecular Engineering, University of South Alabama, 4Center for Lung Biology, University of South Alabama Simple methods are described for demonstrating the production of cytotoxic amyloids following infection of pulmonary endothelium by Pseudomonas aeruginosa.
Reprogramming Primary Amniotic Fluid and Membrane Cells to Pluripotency in Xeno-free Conditions Jaroslav Slamecka1, Javier Laurini2, Troy Shirley1, Simon Philipp Hoerstrup3, Benedikt Weber3,4,5, Laurie Owen1, Steven McClellan1 1Mitchell Cancer Institute, University of South Alabama, 2College of Medicine, University of South Alabama, 3Institute for Regenerative Medicine, University of Zurich, 4Department of Dermatology, University Hospital Zurich, 5Center for Applied Biotechnology and Molecular Medicine (CABMM), University of Zurich - Irchel Campus This protocol describes the reprogramming of primary amniotic fluid and membrane mesenchymal stem cells into induced pluripotent stem cells using a non-integrating episomal approach in fully chemically defined conditions. Procedures of extraction, culture, reprogramming, and characterization of the resulting induced pluripotent stem cells by stringent methods are detailed.
Automated Analysis of Dynamic Ca2+ Signals in Image Sequences Michael Francis1, Josh Waldrup2, Xun Qian2, Mark S. Taylor2 1Department of Pharmacology, University of South Alabama, 2Department of Physiology, University of South Alabama Here a novel region of interest analysis protocol based on sorting best-fit ellipses assigned to regions of positive signal within two-dimensional time lapse image sequences is demonstrated. This algorithm may enable investigators to comprehensively analyze physiological Ca2+ signals with minimal user input and bias.