Division of Molecular Biology and Cancer Systems Biology Center, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Genome Res. 2011 Dec;21(12):2181-9. doi: 10.1101/gr.112763.110. Epub 2011 Aug 18.
Retroviral and transposon-based insertional mutagenesis (IM) screens are widely used for cancer gene discovery in mice. Exploiting the full potential of IM screens requires methods for high-throughput sequencing and mapping of transposon and retroviral insertion sites. Current protocols are based on ligation-mediated PCR amplification of junction fragments from restriction endonuclease-digested genomic DNA, resulting in amplification biases due to uneven genomic distribution of restriction enzyme recognition sites. Consequently, sequence coverage cannot be used to assess the clonality of individual insertions. We have developed a novel method, called shear-splink, for the semiquantitative high-throughput analysis of insertional mutations. Shear-splink employs random fragmentation of genomic DNA, which reduces unwanted amplification biases. Additionally, shear-splink enables us to assess clonality of individual insertions by determining the number of unique ligation points (LPs) between the adapter and genomic DNA. This parameter serves as a semiquantitative measure of the relative clonality of individual insertions within heterogeneous tumors. Mixing experiments with clonal cell lines derived from mouse mammary tumor virus (MMTV)-induced tumors showed that shear-splink enables the semiquantitative assessment of the clonality of MMTV insertions. Further, shear-splink analysis of 16 MMTV- and 127 Sleeping Beauty (SB)-induced tumors showed enrichment for cancer-relevant insertions by exclusion of irrelevant background insertions marked by single LPs, thereby facilitating the discovery of candidate cancer genes. To fully exploit the use of the shear-splink method, we set up the Insertional Mutagenesis Database (iMDB), offering a publicly available web-based application to analyze both retroviral- and transposon-based insertional mutagenesis data.
逆转录病毒和转座子插入诱变(IM)筛选被广泛用于小鼠癌症基因的发现。要充分利用 IM 筛选,需要开发高通量测序和转座子和逆转录病毒插入位点图谱的方法。目前的方案是基于连接介导的 PCR 扩增,从限制性内切酶消化的基因组 DNA 中扩增连接片段,这会导致由于限制性内切酶识别位点在基因组中的不均匀分布而导致扩增偏倚。因此,序列覆盖度不能用于评估单个插入的克隆性。我们开发了一种称为剪切连接的新型方法,用于插入突变的半定量高通量分析。剪切连接采用基因组 DNA 的随机片段化,从而减少不必要的扩增偏倚。此外,剪切连接使我们能够通过确定连接适配器和基因组 DNA 之间的独特连接点(LPs)的数量来评估单个插入的克隆性。该参数作为在异质肿瘤中单个插入的相对克隆性的半定量度量。用源自鼠乳腺肿瘤病毒(MMTV)诱导的肿瘤的克隆细胞系的混合实验表明,剪切连接可以对半定量评估 MMTV 插入的克隆性。进一步,对 16 个 MMTV 和 127 个睡眠美人(SB)诱导的肿瘤进行剪切连接分析,通过排除由单个 LPs 标记的不相关背景插入,富集与癌症相关的插入,从而有助于发现候选癌症基因。为了充分利用剪切连接方法的使用,我们建立了插入诱变数据库(iMDB),提供了一个公开的基于网络的应用程序,用于分析基于逆转录病毒和转座子的插入诱变数据。