细胞周期中基因表达的微阵列分析。

Stephen Cooper, Kerby Shedden
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引用次数: 65

摘要

微阵列已被应用于许多不同细胞的细胞周期中全基因组表达模式的测定。真核细胞和原核细胞已经用全培养和选择性同步方法进行了研究。已发表的酵母、哺乳动物和细菌细胞的微阵列数据被一致地解释为表明大量基因以细胞周期依赖的方式表达。这些结论是重新考虑使用明确的标准,同步和精确的标准,以确定基因表达模式在细胞周期。关于基于微阵列分析的细胞周期依赖性基因表达的结论被可能存在问题的同步方法选择(例如,不同步细胞的全培养方法)和鉴定细胞周期依赖性基因表达的可疑统计严谨性所削弱。由于同步方法的不确定性,以及微阵列分析的不确定性,人们应该对大量基因以细胞周期依赖的方式表达的说法持怀疑态度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Microarray analysis of gene expression during the cell cycle.

Microarray analysis of gene expression during the cell cycle.

Microarrays have been applied to the determination of genome-wide expression patterns during the cell cycle of a number of different cells. Both eukaryotic and prokaryotic cells have been studied using whole-culture and selective synchronization methods. The published microarray data on yeast, mammalian, and bacterial cells have been uniformly interpreted as indicating that a large number of genes are expressed in a cell-cycle-dependent manner. These conclusions are reconsidered using explicit criteria for synchronization and precise criteria for identifying gene expression patterns during the cell cycle. The conclusions regarding cell-cycle-dependent gene expression based on microarray analysis are weakened by arguably problematic choices for synchronization methodology (e.g., whole-culture methods that do not synchronize cells) and questionable statistical rigor for identifying cell-cycle-dependent gene expression. Because of the uncertainties in synchrony methodology, as well as uncertainties in microarray analysis, one should be somewhat skeptical of claims that there are a large number of genes expressed in a cell-cycle-dependent manner.

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