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首页> 外文期刊>BMC Bioinformatics >YODA: Software to facilitate high-throughput analysis of chronological life span, growth rate, and survival in budding yeast
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YODA: Software to facilitate high-throughput analysis of chronological life span, growth rate, and survival in budding yeast

机译:YODA:有助于高通量分析发芽酵母中的时间寿命,生长速率和存活率的软件

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Background The budding yeast Saccharomyces cerevisiae is one of the most widely studied model organisms in aging-related science. Although several genetic modifiers of yeast longevity have been identified, the utility of this system for longevity studies has been limited by a lack of high-throughput assays for quantitatively measuring survival of individual yeast cells during aging. Results Here we describe the Yeast Outgrowth Data Analyzer (YODA), an automated system for analyzing population survival of yeast cells based on the kinetics of outgrowth measured by optical density over time. YODA has been designed specifically for quantification of yeast chronological life span, but can also be used to quantify growth rate and survival of yeast cells in response to a variety of different conditions, including temperature, nutritional composition of the growth media, and chemical treatments. YODA is optimized for use with a Bioscreen C MBR shaker/incubator/plate reader, but is also amenable to use with any standard plate reader or spectrophotometer. Conclusions We estimate that use of YODA as described here reduces the effort and resources required to measure chronological life span and analyze the resulting data by at least 15-fold.
机译:背景技术发芽的酵母啤酒酵母是衰老相关科学中研究最广泛的模型生物之一。尽管已经确定了酵母寿命的几种遗传修饰剂,但是由于缺乏用于定量测量衰老过程中单个酵母细胞存活率的高通量分析方法,该系统在寿命研究中的应用受到了限制。结果在这里,我们描述了酵母菌生长数据分析仪(YODA),这是一种基于通过光密度随时间测量的菌毛生长动力学来分析酵母细胞种群存活的自动化系统。 YODA专为量化酵母的时间长短而设计,但也可用于定量响应各种不同条件(包括温度,生长培养基的营养成分和化学处理)的酵母细胞的生长速率和存活。 YODA经过优化,可与Bioscreen C MBR摇床/培养箱/酶标仪一起使用,但也可与任何标准的酶标仪或分光光度计一起使用。结论我们估计,使用此处所述的YODA可以减少测量时间期限和分析结果数据所需的精力和资源至少15倍。

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