发布: 2015年05月20日第5卷第10期 DOI: 10.21769/BioProtoc.1474 浏览次数: 14383
评审: HongLok LungMichael EnosAgnieszka Pastula
Abstract
The expression of genes is frequently manipulated in cell lines to study their cellular functions. The use of exogenous small Interfering RNAs (siRNAs) is a very efficient technique to temporarily downregulate the expression of genes of interest [reviewed by Hannon and Rossi (2004)]. A genome-wide siRNA library allows the user to study both the effect of each individual gene on a particular cell phenotype in a high throughput manner and also assess its phenotypic effect relative to all other genes targeted. Several factors that potentially influence the outcome of a screen need to be considered when performing a large siRNA screen (Jiang et al., 2011). Here we present a detailed protocol for a genome-wide screen to identify genes involved in anti-cancer drug resistance using the human siGENOME library from Dharmacon. In this protocol, we focus on resistance to treatment with the Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitor (EGFR-TKI) erlotinib in the lung cancer cell line PC9, which is exquisitely sensitive to EGFR-TKIs (de Bruin et al., 2014). This protocol can be used for other cell lines and other drug treatments, as we expand in the Notes below.
Materials and Reagents
Equipment

Important considerations
Before performing a large-scale siRNA screen, there are a few crucial points to consider and to optimize in order to obtain the best results (Jiang et al., 2011). These include:
Details of these optimization steps are provided in the Notes section at the end of this protocol. We recommend performing, if possible, a pilot screen with a range of random siRNAs and selected control RNAs to determine the feasibility and screen read-out prior to the genome-wide screen.
Procedure
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文章信息
版权信息
© 2015 The Authors; exclusive licensee Bio-protocol LLC.
如何引用
de Bruin, E. C., Jiang, M., Howell, M. and Downward, J. (2015). Genome-Wide siRNA Screen for Anti-Cancer Drug Resistance in Adherent Cell Lines. Bio-protocol 5(10): e1474. DOI: 10.21769/BioProtoc.1474.
分类
癌症生物学 > 通用技术 > 癌症治疗 > 全基因组分析
分子生物学 > RNA > RNA 干扰
分子生物学 > DNA > 基因表达
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