Sarver Aaron
Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA.
Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
Methods Mol Biol. 2019;1907:73-79. doi: 10.1007/978-1-4939-8967-6_5.
Forward genetic insertional mutagenesis screens are used by many labs to identify candidate cancer genes. We and others have used the Sleeping Beauty DNA transposon to generate random mutations within the murine genome that cause cancer. Identification of the insertion sites, either via RNA sequencing or DNA sequencing, is required for cancer gene discovery. Multiple sequencing-based approaches have been utilized to identify locations of transposon insertions within a genome including linker-mediated PCR, RNA-Seq, and Seq capture. Here, a bioinformatics pipeline is presented applicable to both the identification of transposon-generated fusions in RNA-Seq data and the direct identification of transposon insertion sites in DNA sequencing data. We are currently utilizing this method to identify transposon insertions generated by Sleeping Beauty transposase-mediated mobilization of the T2/Onc transposon within the murine genome. With slight modification, this approach is amenable to the identification of any mobile genetic element within any genome.
许多实验室使用正向遗传插入诱变筛选来鉴定候选癌症基因。我们和其他研究团队已经利用睡美人DNA转座子在小鼠基因组中产生致癌的随机突变。为了发现癌症基因,需要通过RNA测序或DNA测序来鉴定插入位点。多种基于测序的方法已被用于确定基因组中转座子插入的位置,包括接头介导的PCR、RNA测序和序列捕获。本文介绍了一种生物信息学流程,它既适用于鉴定RNA测序数据中转座子产生的融合基因,也适用于直接鉴定DNA测序数据中转座子的插入位点。我们目前正在利用这种方法来鉴定睡美人转座酶介导的T2/Onc转座子在小鼠基因组中的插入情况。只需稍加修改,这种方法就适用于鉴定任何基因组中的任何可移动遗传元件。