Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195.
Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195;
Proc Natl Acad Sci U S A. 2017 Aug 29;114(35):9415-9420. doi: 10.1073/pnas.1709166114. Epub 2017 Aug 10.
Transcriptional mutagenesis (TM) due to misincorporation during RNA transcription can result in mutant RNAs, or epimutations, that generate proteins with altered properties. TM has long been hypothesized to play a role in aging, cancer, and viral and bacterial evolution. However, inadequate methodologies have limited progress in elucidating a causal association. We present a high-throughput, highly accurate RNA sequencing method to measure epimutations with single-molecule sensitivity. Accurate RNA consensus sequencing (ARC-seq) uniquely combines RNA barcoding and generation of multiple cDNA copies per RNA molecule to eliminate errors introduced during cDNA synthesis, PCR, and sequencing. The stringency of ARC-seq can be scaled to accommodate the quality of input RNAs. We apply ARC-seq to directly assess transcriptome-wide epimutations resulting from RNA polymerase mutants and oxidative stress.
转录突变(TM)由于 RNA 转录过程中的错误掺入,会导致产生具有改变性质的突变 RNA 或表观突变。TM 长期以来一直被假设在衰老、癌症以及病毒和细菌进化中发挥作用。然而,方法学的不足限制了阐明因果关系的进展。我们提出了一种高通量、高准确性的 RNA 测序方法,以单分子灵敏度测量表观突变。准确的 RNA 共识测序(ARC-seq)独特地结合了 RNA 条形码和每个 RNA 分子生成多个 cDNA 拷贝,以消除在 cDNA 合成、PCR 和测序过程中引入的错误。ARC-seq 的严格程度可以根据输入 RNA 的质量进行调整。我们应用 ARC-seq 直接评估 RNA 聚合酶突变体和氧化应激引起的转录组范围的表观突变。