Measurement of genome-wide RNA synthesis and decay rates with Dynamic Transcriptome Analysis (DTA)

作者:Schwalb Bjoern*; Schulz Daniel; Sun Mai; Zacher Benedikt; Duemcke Sebastian; Martin Dietmar E; Cramer Patrick; Tresch Achim
来源:Bioinformatics, 2012, 28(6): 884-885.
DOI:10.1093/bioinformatics/bts052

摘要

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.

  • 出版日期2012-3-15