Suppr超能文献

细胞周期中基因表达的微阵列分析。

Microarray analysis of gene expression during the cell cycle.

作者信息

Cooper Stephen, Shedden Kerby

机构信息

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor Michigan 48109-0620, USA.

出版信息

Cell Chromosome. 2003 Sep 19;2(1):1. doi: 10.1186/1475-9268-2-1.

Abstract

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.

摘要

微阵列已被应用于测定多种不同细胞在细胞周期中的全基因组表达模式。真核细胞和原核细胞均已使用全培养和选择性同步化方法进行了研究。已发表的关于酵母、哺乳动物和细菌细胞的微阵列数据均被一致解释为表明大量基因以细胞周期依赖性方式表达。使用明确的同步化标准和精确的细胞周期中基因表达模式识别标准重新审视了这些结论。基于微阵列分析得出的关于细胞周期依赖性基因表达的结论,因同步化方法存在问题(例如,不能使细胞同步化的全培养方法)以及识别细胞周期依赖性基因表达时统计严谨性存疑而受到削弱。由于同步化方法存在不确定性,以及微阵列分析存在不确定性,人们对于存在大量以细胞周期依赖性方式表达的基因这一说法应有所怀疑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c899/239863/e98c290e7f45/1475-9268-2-1-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验