Friedel Caroline C, Dölken Lars
Institute for Informatics, Ludwig-Maximilians-University Munich, Amalienstr. 17, 80333 München, Germany.
Mol Biosyst. 2009 Nov;5(11):1271-8. doi: 10.1039/b911233b. Epub 2009 Aug 26.
Gene expression profiling to analyze cellular responses against different stimuli or conditions is generally performed at the total cellular RNA level. This results in poor resolution of the temporal kinetics of the cellular response and a bias towards detecting up-regulation of short-lived transcripts. Furthermore, changes in transcription rate and RNA stability cannot be distinguished. These problems can be addressed by analyzing nascent RNA instead of total cellular RNA. Throughout the last few years methods have been developed for metabolic tagging and purification of nascent RNA. In this article, we review these experimental procedures and discuss their implications for large-scale gene expression profiling.
用于分析细胞对不同刺激或条件反应的基因表达谱分析通常在总细胞RNA水平上进行。这导致细胞反应的时间动力学分辨率较差，并且倾向于检测短寿命转录本的上调。此外，转录速率和RNA稳定性的变化无法区分。通过分析新生RNA而不是总细胞RNA可以解决这些问题。在过去几年中，已经开发出了用于新生RNA代谢标记和纯化的方法。在本文中，我们回顾了这些实验程序，并讨论了它们对大规模基因表达谱分析的意义。
