Schafer Sebastian, Miao Kui, Benson Craig C, Heinig Matthias, Cook Stuart A, Hubner Norbert
Cardiovascular and Metabolic Sciences, Max-Delbrück-Center for Molecular Medicine, Berlin, Germany.
National Heart Center Singapore, Singapore.
Curr Protoc Hum Genet. 2015 Oct 6;87:11.16.1-11.16.14. doi: 10.1002/0471142905.hg1116s87.
Thousands of alternative exons are spliced out of messenger RNA to increase protein diversity. High-throughput sequencing of short cDNA fragments (RNA-seq) generates a genome-wide snapshot of these post-transcriptional processes. RNA-seq reads yield insights into the regulation of alternative splicing by revealing the usage of known or unknown splice sites as well as the expression level of exons. Constitutive exons are never covered by split alignments, whereas alternative exonic parts are located within highly expressed splicing junctions. The ratio between reads including or excluding exons, also known as percent spliced in index (PSI), indicates how efficiently sequences of interest are spliced into transcripts. This protocol describes a method to calculate the PSI without prior knowledge of splicing patterns. It provides a quantitative, global assessment of exon usage that can be integrated with other tools that identify differential isoform processing. Novel, complex splicing events along a genetic locus can be visualized in an exon-centric manner and compared across conditions.
数以千计的可变外显子从信使RNA中剪接出来,以增加蛋白质的多样性。短cDNA片段的高通量测序(RNA测序)生成了这些转录后过程的全基因组快照。RNA测序读数通过揭示已知或未知剪接位点的使用情况以及外显子的表达水平,深入了解可变剪接的调控。组成型外显子从不被拆分比对覆盖,而可变外显子部分位于高表达的剪接连接处。包含或排除外显子的读数之间的比率,也称为剪接百分率指数(PSI),表明感兴趣的序列被剪接到转录本中的效率。本方案描述了一种在不预先了解剪接模式的情况下计算PSI的方法。它提供了对外显子使用情况的定量、全局评估,可与识别差异异构体加工的其他工具相结合。沿着基因座的新型、复杂剪接事件可以以外显子为中心的方式可视化,并在不同条件下进行比较。