Department of Informatics, Technical University of Munich, Garching, Germany.
Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany.
Elife. 2019 Apr 26;8:e45056. doi: 10.7554/eLife.45056.
RNA splicing is an essential part of eukaryotic gene expression. Although the mechanism of splicing has been extensively studied in vitro, in vivo kinetics for the two-step splicing reaction remain poorly understood. Here, we combine transient transcriptome sequencing (TT-seq) and mathematical modeling to quantify RNA metabolic rates at donor and acceptor splice sites across the human genome. Splicing occurs in the range of minutes and is limited by the speed of RNA polymerase elongation. Splicing kinetics strongly depends on the position and nature of nucleotides flanking splice sites, and on structural interactions between unspliced RNA and small nuclear RNAs in spliceosomal intermediates. Finally, we introduce the 'yield' of splicing as the efficiency of converting unspliced to spliced RNA and show that it is highest for mRNAs and independent of splicing kinetics. These results lead to quantitative models describing how splicing rates and yield are encoded in the human genome.
RNA 剪接是真核生物基因表达的重要组成部分。尽管体外对剪接机制进行了广泛研究,但对两步剪接反应的体内动力学仍知之甚少。在这里,我们结合瞬时转录组测序(TT-seq)和数学建模来定量跨人类基因组的供体位点和受体位点点的 RNA 代谢率。剪接发生在数分钟内,受 RNA 聚合酶延伸速度的限制。剪接动力学强烈依赖于剪接位点侧翼核苷酸的位置和性质,以及未剪接 RNA 与剪接体中间物中小核 RNA 之间的结构相互作用。最后,我们引入了“剪接效率”作为将未剪接 RNA 转化为剪接 RNA 的效率,并表明它对于 mRNA 最高,并且与剪接动力学无关。这些结果导致了定量模型,描述了剪接速率和效率如何在人类基因组中编码。