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.