University of Luxembourg 3 articles published in JoVE Biology A Gut-on-a-Chip Model to Study the Gut Microbiome-Nervous System Axis Catherine Sedrani1, Gemma Gomez-Giro1, Léa Grandmougin1, Jens Christian Schwamborn1, Paul Wilmes1,2 1Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 2Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine, University of Luxembourg neuroHuMiX is an advanced gut-on-a-chip model to study the interactions of bacterial, epithelial, and neuronal cells under proximal and representative co-culture conditions. This model allows unravelling of the molecular mechanisms underlying the communication between the gut microbiome and the nervous system. Medicine Erythrocyte Sedimentation Rate: A Physics-Driven Characterization in a Medical Context Alexis Darras1, Thomas John1, Christian Wagner1,2, Lars Kaestner1,3 1Experimental Physics, Saarland University, 2Department of Physics and Materials Science, University of Luxembourg, 3Theoretical Medicine and Biosciences, Saarland University Erythrocyte sedimentation rate (ESR) is a physical parameter, often used in routine health checks and medical diagnosis. A theoretical model that allows to extract physically-meaningful parameters from the whole sedimentation curve, based on modern colloidal knowledge, has recently been developed. Here, we present a protocol to automatically collect the ESR over time, and extract the parameters of this recent model from this automated data collection. These refined parameters are also likely to improve the medical testimony. Biology 5-Ethynyl-2'-Deoxyuridine/Phospho-Histone H3 Dual-Labeling Protocol for Cell Cycle Progression Analysis in Drosophila Neural Stem Cells Rohan Chippalkatti1,2, Beat Suter1 1Cell Biology, University of Bern, 2Department of life sciences and medicine, University of Luxembourg Cell cycle analysis with 5-ethynyl-2'-deoxyuridine (EdU) and phospho-histone H3 (pH3) labeling is a multi-step procedure that may require extensive optimization. Here, we present a detailed protocol that describes all steps for this procedure including image analysis and quantification to distinguish cells in different cell cycle phases.
