Examinando por Materia ""Saccharomyces cerevisiae""
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Ítem Relación dinámica entre el envejecimiento celular y la difusión Browniana para “Saccharomyces cerevisiae”Naranjo Mojica, Juan Diego; Herreño Fierro, César Aurelio; Pedraza Leal, Juan Manuel; 0000-0003-2394-4322; 0000-0002-1802-3337“Saccharomyces cerevisiae” is the scientific name of one of the most representative unicellular organisms at an industrial and scientific level. Being a widely researched type of yeast, it allows access to and manipulation of its structural components. Therefore, it has been used as a model organism for all kinds of studies at a cellular level. Among them, aging is understood as a series of time-dependent events that are linked to deterioration at a structural and homeostatic level. It is also one of the most important pillars in the vital process of cells. By understanding the internal-external factors that affect aging, we can forecast, predict and hypothesize what physiological processes have changed, as well as what circumstances to avoid in order to prolong the proper functioning of a cell. There are two definitions of aging at the cellular and experimental level such as: replicative lifespan (RLS), a concept that describes the aging cycle of a cell sample in the exponential phase of growth or chronological lifespan (CLS), another important concept that describes the aging cycle by measuring the time that cells that do not divide survive1. These procedures will be appropriate to analyze aging experimentally. Trapping these cells in microfluidic systems called Slipstreaming Mother Machine, which can grab cells, allowing the obtaining of dynamic images of a yeast cell. The construction of a hydrodynamic trapping device allows the unique advantage of eliminating mechanical pressures with a specific percentage of trapping. Given the amalgam of factors, properties and stochastic processes that may or may not affect aging, we find diffusion, specifically Brownian diffusion, understood as the statistical fluctuations of particles in a medium. This can be studied by means of GEMs (Genetically Encoded Multi- meric Nanoparticles) fluorescent nanoparticles generated by the yeast cell itself. The project has two parallel stages. Data from the Holt laboratory at New York University are collected in cooperation with David Camilo Duran Chaparro, PhD candidate at the Universidad de los Andes, with the aim of further expanding the database, which will allow us to estimate with greater precision a possible relationship between these dynamic variables. Using the data collected, a statistical treatment began to validate how diffusivity varies in these cells. With the help of image processing packages such as Fiji or NIS-Elements, in addition to an individual trajectory tracking analysis program GEMspa, the effective diffusivity will be calculated. Once the statistical treatments were applied, a fundamental parameter in diffusivity such as the alpha factor was interpreted through deviation measurements such as the MSD (mean squared displacement).