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体外高通量RNA干扰筛选:从细胞系到原代细胞

High-throughput RNAi screening in vitro: from cell lines to primary cells.

作者信息

Ovcharenko Dmitriy, Jarvis Richard, Hunicke-Smith Scott, Kelnar Kevin, Brown David

机构信息

Ambion Inc., Austin, TX 78744, USA.

出版信息

RNA. 2005 Jun;11(6):985-93. doi: 10.1261/rna.7288405.

Abstract

Small interfering RNAs (siRNAs) are being used to induce sequence-specific gene silencing in cultured cells to study mammalian gene function. Libraries of siRNAs targeting entire human gene classes can be used to identify genes with specific cellular functions. Here we describe high-throughput siRNA delivery methods to facilitate siRNA library screening experiments with both immortalized and primary cells. We adapted chemical reverse transfection for immortalized adherent cell lines in a 96-well format. The method is fast, robust, and exceptionally effective for many cell types. For primary cells and immortalized cells that are recalcitrant to lipofection-based methods, we developed electropermeabilization (electroporation) conditions that facilitate siRNA delivery to a broad range of cell types, including primary human T-cells, hMSC, NHA, NDHF-Neo, HUVEC, DI TNC1, RPTEC, PC12, and K562 cells. To enable high-throughput electropermeabilization of primary cells, we developed a novel 96-well electroporation device that provides highly efficient and reproducible delivery of siRNAs. The combination of high-throughput chemical reverse transfection and electroporation makes it possible to deliver libraries of siRNAs to virtually any cell type, enabling gene function analysis and discovery on a genome scale.

摘要

小干扰RNA(siRNA)正被用于在培养细胞中诱导序列特异性基因沉默,以研究哺乳动物基因功能。针对整个人类基因类别的siRNA文库可用于鉴定具有特定细胞功能的基因。在此,我们描述了高通量siRNA递送方法,以促进对永生化细胞和原代细胞进行siRNA文库筛选实验。我们将化学反向转染方法应用于96孔板格式的永生化贴壁细胞系。该方法快速、稳健,对许多细胞类型都极为有效。对于对基于脂质转染的方法有抗性的原代细胞和永生化细胞,我们开发了电穿孔条件,可促进将siRNA递送至多种细胞类型,包括原代人T细胞、人间充质干细胞、正常人皮肤成纤维细胞、新生大鼠背根神经节细胞、人脐静脉内皮细胞、人胰腺导管癌细胞、大鼠肾小管上皮细胞、大鼠肾上腺嗜铬细胞瘤细胞和人慢性髓原白血病细胞。为了实现原代细胞的高通量电穿孔,我们开发了一种新型96孔电穿孔装置,可高效且可重复地递送siRNA。高通量化学反向转染和电穿孔的结合使得将siRNA文库递送至几乎任何细胞类型成为可能,从而能够在基因组规模上进行基因功能分析和发现。

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