一种用于药物发现的固定酵母模型的手动动力学试验

V. Nahapetyan, Shiela Delos Santos, K. Crocker, Dayana E. Tobar, Dante Nazarian, Hovannes Chirishyan, G. Beltran, Rachel Dubin, Leticia Reque, Prabkiran Singh, Brandie Cardona, Graciel Royce Bachinela, L. Sarkisyan, Gregory C. Zem, S. Oppenheimer
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引用次数: 3

摘要

在某些应用中,由于直接观察结果,人工细胞计数测定通常被认为是金标准。本研究采用人工动态细胞计数方法来评估试剂在固定酵母(Saccharomyces cerevisae)模型中解团细胞的功效。在癌症扩散、血小板阻塞和生物膜感染等许多人类环境中,团块细胞比单个细胞更危险。在本研究中,在存在或不存在特定试剂的情况下,随时间分析单细胞的百分比,并评估细胞团和每团细胞的数量。结果表明,当单细胞百分比增加时,团块数量和每团块细胞数量减少,有助于验证该方法。这些发现表明,该试验可作为评估模型系统中特定试剂对细胞解团作用的金标准,可用于药物发现研究。这项研究是奥巴马总统在白宫颁发的美国总统科学指导奖项目的一部分。这些实验很容易由本科生完成,也可以在没有复杂科学方法论背景的研究课堂上完成。
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A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery
Manual cell counting assays are often considered as a gold standard in some applications because of direct observation of results. Here a manual kinetic cell counting method is used to evaluate the efficacy of reagents to unclump cells in a fixed yeast ( Saccharomyces cerevisae ) model. Clumped cells are more dangerous than single cells in many human venues such as cancer spread, thrombocytic blockages and biofilm infectivity. In this study percentage of single cells are analyzed over time in the presence or absence of specific reagents and the number of cell clumps and cells per clump are also assessed. The results show that when the percentage of single cells increases, the number of clumps and cells per clump decrease, helping to validate the assay. These findings suggest that this assay can be a gold standard for evaluating the effects of specific reagents on cell unclumping in a model system that can be used in drug discovery investigations. This study is part of a program that won a U.S. Presidential Award for science mentoring presented by President Obama at the White House. The experiments are easily accomplished by undergraduate students and can be done by research classes without background in complex science methodology.
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