Small Eric M, Felker Daniel P, Heath Olivia C, Cantergiani Ryla J, Osley Mary Ann, McCormick Mark A
Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA.
Department of Biochemistry and Molecular Biology, School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA.
Transl Med Aging. 2020;4:141-148. doi: 10.1016/j.tma.2020.08.003. Epub 2020 Aug 21.
Plate reader-based methods for high-throughput measurement of growth rate, cellular survival, and chronological lifespan are a compelling addition to the already powerful toolbox of budding yeast genetics. These methods have overcome many of the limits of traditional yeast biology techniques, but also present a new bottleneck at the point of data-analysis. Herein, we describe SPOCK (Survival Percentage and Outgrowth Collection Kit), an R-based package for the analysis of data created by high-throughput plate reader based methods. This package allows for the determination of chronological lifespan, cellular growth rate, and survival in an efficient, robust, and reproducible fashion.
基于酶标仪的高通量测量生长速率、细胞存活率和时序寿命的方法，是对已经十分强大的芽殖酵母遗传学工具箱的有力补充。这些方法克服了传统酵母生物学技术的许多局限性，但在数据分析阶段也带来了新的瓶颈。在此，我们描述了SPOCK（存活百分比和生长收集试剂盒），这是一个基于R语言的软件包，用于分析基于高通量酶标仪方法产生的数据。该软件包能够以高效、稳健且可重复的方式测定时序寿命、细胞生长速率和存活率。
