Slipek Nicholas J, Varshney Jyotika, Largaespada David A
Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
Methods Mol Biol. 2019;1907:137-144. doi: 10.1007/978-1-4939-8967-6_11.
Since the advent of large-scale, detailed descriptive cancer genomics studies at the beginning of the century, such as The Cancer Genome Atlas (TCGA), labs around the world have been working to make this data useful. Data like these can be made more useful by comparison with complementary functional genomic data. One new example is the application of CRISPR/Cas9-based library screening for cancer-related traits in cell lines. Such screens can reveal genome-wide suppressors of tumorigenesis and metastasis. Here we describe the use of widely available lentiviral libraries for such screens in cultured cell lines.
自本世纪初大规模、详细的描述性癌症基因组学研究（如癌症基因组图谱计划，即TCGA）问世以来，世界各地的实验室一直在努力让这些数据发挥作用。通过与互补的功能基因组数据进行比较，此类数据能变得更有用。一个新的例子是基于CRISPR/Cas9的文库筛选在细胞系中用于癌症相关性状的研究。这样的筛选能够揭示全基因组范围内肿瘤发生和转移的抑制因子。在此，我们描述了如何在培养的细胞系中使用广泛可得的慢病毒文库进行此类筛选。
