High Throughput Delivery of siRNAs: Examples
|In the article, High Throughput siRNA Delivery In Vitro: From Cell Lines to Primary Cells, we examined the efficiency and reproducibility of two techniques for high throughput delivery of siRNAs: reverse transfection and 96 well electroporation. We found that reverse transfection is compatible with most immortalized adherent cell types, whereas electroporation is superior for delivering siRNAs to most primary cells and cells grown in suspension. Once optimized, these methods support high cell viability while effectively delivering siRNAs. Finally, while maximum transfection efficiency and cell viability are cell type specific, siRNA delivery by both methods is highly reproducible. The adaptation of reverse transfection and electroporation for medium to high throughput applications makes it possible to deliver sets, or libraries, of siRNAs to virtually any cell type, enabling reverse genetics analyses of tens to thousands of genes per experiment. |
Here we use reverse transfection of 174 different siRNAs in a functional genomic screen to identify kinase genes involved in cell proliferation. Data from this article and the previous one validating these high throughput delivery methods have been published in RNA (2005) 11:985–993 . This analysis provides an example of the types of RNAi screening experiments that can be designed and demonstrates that these screens are feasible in any laboratory with a multichannel pipettor.
Identifying Kinases Involved in Cell Proliferation
Reverse transfection was used to deliver 174 siRNAs targeting 58 different human kinases (3 distinct siRNAs per target gene) plus positive and negative control siRNAs into HeLa cells in 96 well plates. Transfection complexes were prepared in Opti-MEM® serum-free medium (Invitrogen) by mixing 0.3 µl siPORT™ NeoFX™ Transfection Agent and 1 pmol siRNA (Silencer® CMGC Kinase siRNA Library Subset). HeLa cells were then plated in 96 well plates with simultaneous addition of the transfection complexes. Transfections were performed in triplicate. Using a multichannel pipettor, reverse transfection of the 531 samples (174 kinase gene siRNAs + 3 control siRNAs done in triplicate = 531) took under two hours, including cell preparation. 72 hours after transfection, cell proliferation was measured by alamarBlue assay. Individual data points were compared to the results from the negative control non-silencing siRNA (Figure 1).
A subset of samples were analyzed by real-time RT-PCR to quantify target mRNA knockdown. For these samples, total RNA was isolated using the MagMAX-96 Total RNA Isolation Kit 24 hours after transfection. The purified, DNase-treated RNA was reverse transcribed with random decamers using the RETROscript® Kit. Gene expression levels were then determined by real-time PCR on the ABI Prism® 7900 SDS (Applied Biosystems). 18S rRNA was amplified as an endogenous control to adjust for well-to-well variation in the amount of starting template. The corrected values were normalized to average values obtained from samples individually transfected with three different non-silencing siRNAs (Silencer Negative Control #1, #2, #3 siRNA).
The screen identified several kinases whose down-regulation appeared to inhibit or enhance cell proliferation. For several of the kinase genes, cell number per well differed significantly for each of the three siRNAs directed to the same target. These siRNAs reduced target mRNA expression to similar levels (data not shown). Given that siRNAs can target unintended genes , we suspect that in cases where only a single siRNA caused an effect, the siRNA targeted a distinct gene essential for cell proliferation in addition to the intended kinase. This result illustrates the advantage of using three different siRNAs per target in the screen. Indeed, in most cases two or three siRNAs altered cell numbers to a similar degree, and we were able to conclude that knocking down these kinases directly affected cell number.
The screen identified 5 genes for which two or three siRNAs to that target resulted in lower than normal cell numbers (Figure 2). Knockdown of these genes could be due to a cell proliferation defect or other cellular mechanism. The screen also identified 5 genes that when knocked down by at least two different siRNAs resulted in higher than normal cell numbers. Several of the identified genes, such as CDK7, CDK11, CDK2, CDC2L1, and RAGE, have already been implicated in cell cycle regulation [3–7].
Figure 2. Kinase Genes Identified by the Screen. siRNAs to these 10 Kinase targets significantly decreased or increased cell numbers compared to negative control siRNA transfected cells.
The NCBI compendium currently lists over 5500 human genes with unknown function. Thus, siRNA screening experiments provide an obvious opportunity for gene function discovery. There are dozens of enzymatic and biological assays commercially available to aid in phenotypic screening. Ambion has worked to develop reagents and techniques that simplify the high throughput siRNA delivery process, and to make it accessible to even small laboratories without robotic capabilities. In addition to providing several highly effective siRNAs to each human, mouse, and rat gene (over 200,000 siRNAs), Ambion offers a wide selection of siRNA libraries to human gene targets, grouped by functional class
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