Colic Medina, Hart Traver
Department of Bioinformatics and Computational Biology and Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
UTHealth Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Comput Struct Biotechnol J. 2019 Oct 26;17:1318-1325. doi: 10.1016/j.csbj.2019.09.006. eCollection 2019.
Chemogenetic profiling enables the identification of genes that enhance or suppress the phenotypic effect of chemical compounds. Using this approach in cancer therapies could improve our ability to predict the response of specific tumor genotypes to chemotherapeutic agents, thus accelerating the development of personalized drug therapy. In the not so distant past, this strategy was only applied in model organisms because there was no feasible technology to thoroughly exploit desired genetic mutations and their impact on drug efficacy in human cells. Today, with the advent of CRISPR gene-editing technology and its application to pooled library screens in mammalian cells, chemogenetic screens are performed directly in human cell lines with high sensitivity and specificity. Chemogenetic profiling provides insights into drug mechanism-of-action, genetic vulnerabilities, and resistance mechanisms, all of which will help to accurately deliver the right drug to the right target in the right patient while minimizing side effects.
化学遗传学分析能够识别增强或抑制化合物表型效应的基因。在癌症治疗中采用这种方法可以提高我们预测特定肿瘤基因型对化疗药物反应的能力,从而加速个性化药物治疗的发展。在不久之前,这种策略仅应用于模式生物,因为当时没有可行的技术来充分利用所需的基因突变及其对人类细胞中药物疗效的影响。如今,随着CRISPR基因编辑技术的出现及其在哺乳动物细胞汇集文库筛选中的应用,化学遗传学筛选可直接在人类细胞系中以高灵敏度和特异性进行。化学遗传学分析提供了对药物作用机制、遗传易感性和耐药机制的深入了解,所有这些都将有助于在将副作用降至最低的同时,准确地为合适的患者提供合适的药物并作用于合适的靶点。