by Keyword: Time factors
Selfa, IL, Gallo, M, Montserrat, N, Garreta, E, (2021). Directed Differentiation of Human Pluripotent Stem Cells for the Generation of High-Order Kidney Organoids Crispr Knock-Ins In Organoids To Track Tumor Cell Subpopulations 2258, 171-192
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature. Our understanding in the inherent properties of human pluripotent stem cells (hPSCs) have made possible the development of differentiation procedures to generate three-dimensional tissue-like cultures, so-called organoids. Here we detail a stepwise methodology to generate kidney organoids from hPSCs. This is achieved through direct differentiation of hPSCs in two-dimensional monolayer culture toward the posterior primitive streak fate, followed by induction of intermediate mesoderm-committed cells, which are further aggregated and cultured in three-dimensions to generate kidney organoids containing segmented nephron-like structures in a process that lasts 20 days. We also provide a concise description on how to assess renal commitment during the time course of kidney organoid generation. This includes the use of flow cytometry and immunocytochemistry analyses for the detection of specific renal differentiation markers.
JTD Keywords: 2d monolayer, 3d organotypic culture, differentiation, flow cytometry, human pluripotent stem cells, immunocytochemistry, intermediate mesoderm, kidney organoid, nephron progenitor cells, nephrons, primitive streak, 2d monolayer, 3d organotypic culture, Cell culture techniques, Cell differentiation, Cells, cultured, Differentiation, Flow cytometry, Fluorescent antibody technique, Gene expression regulation, developmental, Human pluripotent stem cells, Humans, Immunocytochemistry, Intermediate mesoderm, Kidney, Kidney organoid, Microscopy, fluorescence, Morphogenesis, Nephron progenitor cells, Nephrons, Organoids, Pluripotent stem cells, Primitive streak, Signal transduction, Time factors, Tissue, Tissue engineering
Orini, Michele, Giraldo, Beatriz F., Bailon, Raquel, Vallverdu, Montserrat, Mainardi, Luca, Benito, Salvador, Diaz, Ivan, Caminal, Pere, (2008). Time-frequency analysis of cardiac and respiratory parameters for the prediction of ventilator weaning IEEE Engineering in Medicine and Biology Society Conference Proceedings 
30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (ed. IEEE), IEEE (Vancouver, Canada) 1-8, 2793-2796
Mechanical ventilators are used to provide life support in patients with respiratory failure. Assessing autonomic control during the ventilator weaning provides information about physiopathological imbalances. Autonomic parameters can be derived and used to predict success in discontinuing from the mechanical support. Time-frequency analysis is used to derive cardiac and respiratory parameters, as well as their evolution in time, during ventilator weaning in 130 patients. Statistically significant differences have been observed in autonomic parameters between patients who are considered ready for spontaneous breathing and patients who are not. A classification based on respiratory frequency, heart rate and heart rate variability spectral components has been proposed and has been able to correctly classify more than 80% of the cases.
JTD Keywords: Automatic Data Processing, Databases, Factual, Electrocardiography, Humans, Models, Statistical, Respiration, Respiration, Artificial, Respiratory Insufficiency, Respiratory Mechanics, Respiratory Muscles, Signal Processing, Computer-Assisted, Time Factors, Ventilator Weaning, Ventilators, Mechanical, Work of Breathing
