Gasparri Fabio, Fraietta Ivan, Gianellini Laura, Montemartini Marisa, Raddrizzani Laura, Somaschini Alessio, Ukmar Giorgio, Colombo Riccardo, Perrera Claudia
Nerviano Medical Sciences Srl, Nerviano, Milan, Italy.
Debiopharm International SA, Lausanne, Switzerland.
Methods Mol Biol. 2025;2905:73-93. doi: 10.1007/978-1-0716-4418-8_5.
During the past decades, advances in RNA interference (RNAi) technology have paved the way for the systematic exploration of gene function, and phenotypic screening of small interfering RNA (siRNA) oligonucleotides is a strategy still commonly pursued for the identification and validation of targets, particularly in oncology drug discovery. Here we present a method for large-scale automated siRNA transfection and cell phenotypic screening using colony formation as a readout. Experimental conditions were optimized to achieve efficient and nontoxic transfection of siRNA oligonucleotides in different cell lines using liposomal reagents. For each gene, the most active and specific siRNA oligos were selected through a phenotypic prescreening in HeLa cells, selected as control cell line, and grouped in the same oligo pool. Cells were then transfected at low seeding density in 96-well plates, and after 7-14 days colony formation was analyzed. We have found this procedure to be more sensitive than standard 48-72 h proliferation assays for identifying genes essential for cell viability/proliferation, as it allows to reveal long-term consequences in slow growing cell lines, or phenotypes that occur after multiple cell divisions. This approach generated robust and reliable results through the limitation of siRNA off-target toxic effects by combining a pool of different siRNA oligos designed against the same target. Furthermore, a parallel evaluation of gene silencing phenotypes is performed against a large panel of cell lines, allowing the simultaneous identification of target related genetic dependencies in several cancer cell line models of different tumor origin.
在过去几十年中,RNA干扰(RNAi)技术的进步为系统探索基因功能铺平了道路,小分子干扰RNA(siRNA)寡核苷酸的表型筛选仍然是一种常用于鉴定和验证靶点的策略,特别是在肿瘤学药物研发中。在此,我们介绍一种以集落形成为读出指标的大规模自动化siRNA转染和细胞表型筛选方法。优化实验条件,以使用脂质体试剂在不同细胞系中实现siRNA寡核苷酸的高效无毒转染。对于每个基因,通过在作为对照细胞系的HeLa细胞中进行表型预筛选,选择最具活性和特异性的siRNA寡核苷酸,并将其分组到同一个寡核苷酸池中。然后将细胞以低密度接种于96孔板中进行转染,7-14天后分析集落形成情况。我们发现,对于鉴定细胞活力/增殖所必需的基因,该方法比标准的48-72小时增殖测定更敏感,因为它能够揭示生长缓慢的细胞系中的长期后果,或多次细胞分裂后出现的表型。通过组合针对同一靶点设计的不同siRNA寡核苷酸池来限制siRNA脱靶毒性效应,该方法产生了稳健可靠的结果。此外,针对大量细胞系对基因沉默表型进行平行评估,从而能够在不同肿瘤来源的几种癌细胞系模型中同时鉴定靶点相关的遗传依赖性。