University of Chieti-Pescara 3 articles published in JoVE Biology Microvascular and Macrovascular Endothelial Cell Isolation and Purification from Lung-Derived Samples Roberto Plebani1,2, Alessandra D'Alessandro2, Paola Lanuti2,3, Pasquale Simeone2,3, Massimiliano Cinalli1, Ilaria Righi4, Alessandro Palleschi4,5, Matteo Mucci1,2, Marco Marchisio2,3, Francesco Cappabianca1, Marina Camera6,7, Felice Mucilli1, Mario Romano1,2 1Department of Medical, Oral and Biotechnological Sciences, “G. d’Annunzio” University of Chieti-Pescara, 2Center on Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, 3Department of Medicine and Aging Sciences, University “G. d’Annunzio” of Chieti-Pescara, 4 Although challenging, the isolation of pulmonary endothelial cells is essential for studies on lung inflammation. The present protocol describes a procedure for the high-yield, high-purity isolation of macrovascular and microvascular endothelial cells. Genetics A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene Vincenzo De Iuliis1, Sebastiano Ursi1, Alfonso Pennelli2, Marika Caruso2, Sabrina Capodifoglio2, Antonio Marino1, Vincenzo Flati3, Gianfranco Vitullo1, Elena Toniato2, Iole Robuffo4, Stefano Martinotti1,2 1SS Annunziata University Hospital, Unit of Clinical Molecular Biology and Predictive Medicine, University of Chieti, 2Department of Medical, Oral and Biotechnological Sciences, University of Chieti, 3 In the present study, we describe a methodology to analyze the C924T genotype. The protocol consists of three phases: DNA extraction, amplification by polymerase chain reaction (PCR), and analysis of the restriction fragment length polymorphism (RFLP) on agarose gel. Behavior Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks Paola Pinti1,2, Clarisse Aichelburg3, Frida Lind3, Sarah Power1, Elizabeth Swingler3, Arcangelo Merla2, Antonia Hamilton3, Sam Gilbert3, Paul Burgess3, Ilias Tachtsidis1 1Department of Medical Physics and Biomedical Engineering, Malet Place Engineering Building, University College London, 2Infrared Imaging Lab, Institute for Advanced Biomedical Technology (ITAB), Department of Neuroscience, Imaging and Clinical Sciences, University of Chieti-Pescara, 3Institute of Cognitive Neuroscience, Alexandra House, University College London Monitoring brain activity outside the lab without physical constraints presents methodological challenges. A fiberless, wearable functional Near Infrared Spectroscopy (fNIRS) system was used to measure brain activity during an ecological prospective memory task. It was demonstrated that this system could be used to monitor brain activity during non-lab based experiments.