Department of Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany.
Bioinformatics. 2012 Mar 15;28(6):884-5. doi: 10.1093/bioinformatics/bts052. Epub 2012 Jan 28.
Standard transcriptomics measures total cellular RNA levels. Our understanding of gene regulation would be greatly improved if we could measure RNA synthesis and decay rates on a genome-wide level. To that end, the Dynamic Transcriptome Analysis (DTA) method has been developed. DTA combines metabolic RNA labeling with standard transcriptomics to measure RNA synthesis and decay rates in a precise and non-perturbing manner. Here, we present the open source R/Bioconductor software package DTA. It implements all required bioinformatics steps that allow the accurate absolute quantification and comparison of RNA turnover.
标准转录组学测量总细胞 RNA 水平。如果我们能够在全基因组水平上测量 RNA 的合成和降解速率，我们对基因调控的理解将会大大提高。为此，开发了动态转录组分析 (DTA) 方法。DTA 将代谢 RNA 标记与标准转录组学相结合，以精确且非干扰的方式测量 RNA 的合成和降解速率。在这里，我们介绍了开源的 R/Bioconductor 软件包 DTA。它实现了所有必需的生物信息学步骤，允许对 RNA 周转进行准确的绝对定量和比较。
