National Center of Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA,
Pac Symp Biocomput. 2020;25:262-273.
Cancer genomes accumulate a large number of somatic mutations resulting from imperfection of DNA processing during normal cell cycle as well as from carcinogenic exposures or cancer related aberrations of DNA maintenance machinery. These processes often lead to distinctive patterns of mutations, called mutational signatures. Several computational methods have been developed to uncover such signatures from catalogs of somatic mutations. However, cancer mutational signatures are the end-effect of several interplaying factors including carcinogenic exposures and potential deficiencies of the DNA repair mechanism. To fully understand the nature of each signature, it is important to disambiguate the atomic components that contribute to the final signature. Here, we introduce a new descriptor of mutational signatures, DNA Repair FootPrint (RePrint), and show that it can capture common properties of deficiencies in repair mechanisms contributing to diverse signatures. We validate the method with published mutational signatures from cell lines targeted with CRISPR-Cas9-based knockouts of DNA repair genes.
癌症基因组积累了大量的体细胞突变,这些突变是由于正常细胞周期中 DNA 处理的不完美,以及致癌暴露或与 DNA 维持机制相关的癌症异常导致的。这些过程通常会导致独特的突变模式,称为突变特征。已经开发了几种计算方法来从体细胞突变目录中发现这些特征。然而,癌症突变特征是多种相互作用因素的最终结果,包括致癌暴露和 DNA 修复机制的潜在缺陷。为了充分了解每个特征的本质,重要的是要澄清导致最终特征的原子成分。在这里,我们引入了一个新的突变特征描述符,DNA 修复足迹(RePrint),并表明它可以捕捉导致不同特征的修复机制缺陷的常见特性。我们使用基于 CRISPR-Cas9 的 DNA 修复基因敲除靶向细胞系的已发表突变特征对该方法进行了验证。