Combinatorial delivery of small interfering RNAs reduces RNAi efficacy by selective incorporation into RISC

Despite the great potential of RNAi, ectopic expression of shRNA or siRNAs holds the inherent risk of competition for critical RNAi components, thus altering the regulatory functions of some cellular microRNAs. In addition, specific siRNA sequences can potentially hinder incorporation of other siRNAs when used in a combinatorial approach. We show that both synthetic siRNAs and expressed shRNAs compete against each other and with the endogenous microRNAs for transport and for incorporation into the RNA induced silencing complex (RISC). The same siRNA sequences do not display competition when expressed from a microRNA backbone. We also show that TAR RNA binding protein (TRBP) is one of the sensors for selection and incorporation of the guide sequence of interfering RNAs. These findings reveal that combinatorial siRNA approaches can be problematic and have important implications for the methodology of expression and use of therapeutic interfering RNAs.     

Mechanisms and optimization of in vivo delivery of lipophilic siRNAs

Cholesterol-conjugated siRNAs can silence gene expression in vivo. Here we synthesize a variety of lipophilic siRNAs and use them to elucidate the requirements for siRNA delivery in vivo. We show that conjugation to bile acids and long-chain fatty acids, in addition to cholesterol, mediates siRNA uptake into cells and gene silencing in vivo. Efficient and selective uptake of these siRNA conjugates depends on interactions with lipoprotein particles, lipoprotein receptors and transmembrane proteins. High-density lipoprotein (HDL) directs siRNA delivery into liver, gut, kidney and steroidogenic organs, whereas low-density lipoprotein (LDL) targets siRNA primarily to the liver. LDL-receptor expression is essential for siRNA delivery by LDL particles, and SR-BI receptor expression is required for uptake of HDL-bound siRNAs. Cellular uptake also requires the mammalian homolog of the Caenorhabditis elegans transmembrane protein Sid1. Our results demonstrate that conjugation to lipophilic molecules enables effective siRNA uptake through a common mechanism that can be exploited to optimize therapeutic siRNA delivery.     

Gene silencing by systemic delivery of synthetic siRNAs in adult mice

In mammalian cells, RNA duplexes of 21-23 nucleotides, known as small interfering RNAs (siRNAs) specifically inhibit gene expression in vitro. Here, we show that systemic delivery of siRNAs can inhibited exogenous and endogenous gene expression in adult mice. Cationic liposome-based intravenous injection in mice of plasmid encoding the green fluorescent protein (GFP) with its cognate siRNA, inhibited GFP gene expression in various organs. Furthermore, intraperitoneal injection of anti-TNF-alpha siRNA inhibited lipopolysaccharide-induced TNF-alpha gene expression, whereas secretion of IL1-alpha was not inhibited. Importantly, the development of sepsis in mice following a lethal dose of lipopolysaccharide injection, was significantly inhibited by pre-treatment of the animals with anti-TNF-alpha siRNAs. Collectively, these results demonstrate that synthetic siRNAs can function in vivo as pharmaceutical drugs.     

A novel program to design siRNAs simultaneously effective to highly variable virus genomes

A major concern of antiviral therapy using small interfering RNAs (siRNAs) targeting RNA viral genome is high sequence diversity and mutation rate due to genetic instability. To overcome this problem, it is indispensable to design siRNAs targeting highly conserved regions. We thus designed CAPSID (Convenient Application Program for siRNA Design), a novel bioinformatics program to identify siRNAs targeting highly conserved regions within RNA viral genomes. From a set of input RNAs of diverse sequences, CAPSID rapidly searches conserved patterns and suggests highly potent siRNA candidates in a hierarchical manner. To validate the usefulness of this novel program, we investigated the antiviral potency of universal siRNA for various Human enterovirus B (HEB) serotypes. Assessment of antiviral efficacy using Hela cells, clearly demonstrates that HEB-specific siRNAs exhibit protective effects against all HEBs examined. These findings strongly indicate that CAPSID can be applied to select universal antiviral siRNAs against highly divergent viral genomes.     

Prediction of siRNA functionality using generalized string kernel and support vector machine

Small interfering RNAs (siRNAs) are becoming widely used for sequence-specific gene silencing in mammalian cells, but designing an effective siRNA is still a challenging task. In this study, we developed an algorithm for predicting siRNA functionality by using generalized string kernel (GSK) combined with support vector machine (SVM). With GSK, siRNA sequences were represented as vectors in a multi-dimensional feature space according to the numbers of subsequences in each siRNA, and subsequently classified with SVM into effective or ineffective siRNAs. We applied this algorithm to published siRNAs, and could classify effective and ineffective siRNAs with 90.6%, 86.2% accuracy, respectively.     

Functional comparison of single- and double-stranded siRNAs in mammalian cells

The concept of small interfering RNA (siRNA) has been extended to include not only short double-stranded RNA of 19-25bp, but also single-stranded antisense RNA of the same length, since such single-stranded antisense siRNAs were recently found to be able to inhibit gene expression as well. We made comprehensive comparison of double- and single-stranded siRNA functions in RNA interference (RNAi), targeting multiple sites and different mRNAs, measuring RNAi effects at different time-points and in different cell lines, and examining response curves. Duplex siRNAs were found to be more potent than single-stranded antisense siRNAs. This was verified by the observation that single-stranded antisense siRNAs, which were inefficient in some cases when used alone, could be rescued from inefficiency by sequentially transfecting with the sense siRNAs. This result suggests that the structural character of siRNA molecules might be a more important determinant of siRNA efficiency than the cellular persistence of them.     

Generation of shrnas from randomized oligonucleotides

Suppression of gene expression by small interfering RNA (siRNA) has proved to be a gene-specific and cost effective alternative to other gene suppression technologies. Short hairpin RNAs (shRNAs) generated from the vector-based expression are believed to be processed into functional siRNAs in vivo, leading to gene silencing. Since an shRNA library carries a large pool of potential siRNAs, such a library makes it possible to knock down gene expression at the genome wide scale. Although much of research has been focused on generating shRNA libraries from either individually made gene specific sequences or cDNA libraries, there is no report on constructing randomized shRNA libraries, which could provide a good alternative to these existing libraries. We have developed a method of constructing shRNAs from randomized oligonucleotides. Through this method, one can generate a partially or fully randomized shRNA library for various functional analyses. We validated this procedure by constructing a p53-specific shRNA. Western blot revealed that the p53-shRNA successfully suppressed expression of the endogenous p53 in MCF-7 cells. We then made a partially randomized shRNA library. Sequencing of 15 randomly picked cloned confirmed the randomness of the library. Therefore, the library can be used for various functional assays, such as target validation when a suitable screening or selection method is available.     

Local RNA target structure influences siRNA efficacy: a systematic global analysis

The efficiency with which small interfering RNAs (siRNAs) down-regulate specific gene expression in living cells is variable and a number of sequence-governed, biochemical parameters of the siRNA duplex have been proposed for the design of an efficient siRNA. Some of these parameters have been clearly identified to influence the assembly of the RNA-induced silencing complex (RISC), or to favour the sequence preferences of the RISC endonuclease. For other parameters, it is difficult to ascertain whether the influence is a determinant of the siRNA per se, or a determinant of the target RNA, especially its local structural characteristics. In order to gain an insight into the effects of local target structure on the biological activity of siRNA, we have used large sets of siRNAs directed against local targets of the mRNAs of ICAM-1 and survivin. Target structures were classified as accessible or inaccessible using an original, iterative computational approach and by experimental RNase H mapping. The effectiveness of siRNA was characterized by measuring the IC50 values in cell culture and the maximal extent of target suppression. Mean IC50 values were tenfold lower for accessible local target sites, with respect to inaccessible ones. Mean maximal target suppression was improved. These data illustrate that local target structure does, indeed, influence the activity of siRNA. We suggest that local target screening can significantly improve the hit rate in the design of biologically active siRNAs.     

Small interfering RNA–mediated gene suppression as a therapeutic intervention in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the lethal and difficult-to-cure cancers worldwide. Owing to the late diagnosis and drug resistance of malignant hepatocytes, treatment of this cancer by conventional chemotherapy agents is challenging, and researchers are seeking new alternative treatment options to overcome therapy resistance in this neoplasm. RNA interference (RNAi) is a potent and specific approach in targeting gene expression and has emerged as a novel therapeutic tool for many diseases, including cancers. Small interfering RNA (siRNA) is a type of RNAi that is produced intracellularly from exogenous synthetic oligonucleotides and can selectively knock down target gene expression in a sequence-specific manner. Various factors play roles in the initiation and progression of HCC and provide multiple candidate targets for siRNA intervention. In addition, due to the liver's unique architecture and availability of some hepatic siRNA delivery methods, this organ has received much more attention as a target tissue for such oligonucleotide action. Recent advances in designing nanoparticle systems for the in vivo delivery of siRNAs have markedly enhanced the potency of siRNA-mediated gene silencing under clinical development for HCC therapy. The utility of siRNAs as anti-HCC agents is the subject of the current review. siRNA-based gene therapies could be one of the main feasible approaches for HCC therapy in the future.     

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

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.     

Transcriptional targeting of small interfering RNAs into cancer cells

Small interfering RNAs (siRNAs) are widely used for analyzing gene function and have the potential to be developed into human therapeutics. However, persistent siRNA expression in normal cells may cause toxic side effects. Therefore, the therapeutic applications of RNAi in cancer require either the specific delivery of synthetic siRNAs into cancer cells or the control of siRNA expression. Accordingly, we have developed a cancer-specific vector that expresses siRNAs from the human survivin promoter. A plasmid vector expressing siRNAs under this promoter enabled efficient gene silencing of gene expression in different cancer cell lines. The levels of inhibition were comparable to that obtained with the constitutively active U6 promoter. By contrast to U6 promoter, no significant gene silencing was obtained with the Survivin promoter in normal mammary epithelial cells. Collectively, these data indicate that the survivin promoter is suitable for directing siRNA expression in cancer cells, but not normal cells.     

Common seed analysis to identify off-target effects in siRNA screens

Genome-scale small interfering RNA (siRNA) screens have become an increasingly popular approach to new target identification and pathway elucidation. However, the large data sets generated from siRNA screens have demonstrated high false-positive rates and the requirement for extensive experimental triage to distinguish true hits. A number of groups have independently reported the presence of siRNAs with identical seed sequences among their top screening hits. Based on these observations, we have developed a comprehensive technique for detecting and visualizing seed-based off-target effects in siRNA screening data. This is accomplished by analyzing the behavior of siRNAs that share identical seed sequences, which we refer to as common seed analysis (CSA). By applying these techniques to primary screening data of the Wnt pathway, we identify 158 distinct seed sequences that have a statistically significant effect on the assay. The promiscuous seed sequences identified in this manner can then be discounted in the analysis of follow-up experiments using single siRNAs. The ability to detect off-target effects when sufficient numbers of siRNAs share a common seed has significant implications for the design of siRNA screening experiments, data analysis, hit selection, and library design.