In Silico Target-Specific siRNA Design Based on Domain Transfer in Heterogeneous Data

RNA interference via exogenous small interference RNAs (siRNA) is a powerful tool in gene function study and disease treatment. Designing efficient and specific siRNA on target gene remains the key issue in RNAi. Although various in silico models have been proposed for rational siRNA design, most of them focus on the efficiencies of selected siRNAs, while limited effort has been made to improve their specificities targeted on specific mRNAs, which is related to reducing off-target effects (OTEs) in RNAi. In our study, we propose for the first time that the enhancement of target specificity of siRNA design can be achieved computationally by domain transfer in heterogeneous data sources from different siRNA targets. A transfer learning based method i.e., heterogeneous regression (HEGS) is presented for target-specific siRNA efficacy modeling and feature selection. Based on the model, (1) the target regression model can be built by extracting information from related data in other targets/experiments, thus increasing the target specificity in siRNA design with the help of information from siRNAs binding to other homologous genes, and (2) the potential features correlated to the current siRNA design can be identified even when there is lack of experimental validated siRNA affinity data on this target. In summary, our findings present useful instructions for a better target-specific siRNA design, with potential applications in genome-wide high-throughput screening of effective siRNA, and will provide further insights on the mechanism of RNAi.     

Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study

Background  

Gene silencing using exogenous small interfering RNAs (siRNAs) is now a widespread molecular tool for gene functional study and new-drug target identification. The key mechanism in this technique is to design efficient siRNAs that incorporated into the RNA-induced silencing complexes (RISC) to bind and interact with the mRNA targets to repress their translations to proteins. Although considerable progress has been made in the computational analysis of siRNA binding efficacy, few joint analysis of different RNAi experiments conducted under different experimental scenarios has been done in research so far, while the joint analysis is an important issue in cross-platform siRNA efficacy prediction. A collective analysis of RNAi mechanisms for different datasets and experimental conditions can often provide new clues on the design of potent siRNAs.     

Sequence characteristics of functional siRNAs

RNA interference in mammalian cells is actively used to conduct genetic screens, to identify and to validate targets, and to elucidate regulators and modifiers of cellular pathways. To ensure the specificity and efficacy of the active 21mer siRNA molecules, it is pertinent to develop a strategy for their rational design. Here we show that most functional siRNAs have characteristic sequence features. We tested 601 siRNAs targeting one exogenous and three endogenous genes. The efficacy of the siRNAs was determined at the protein level. Using a decision tree algorithm in combination with information analysis, our analyses revealed four sets of rules with a mean knockdown efficacy ranging from 60% to 73%. (To distinguish between percentages used to describe the quality of an siRNA and the percentages used to describe parts of data sets we underlined the former throughout this paper.) The best rule comprises an A/U at positions 10 and 19, a G/C at position 1, and more than three A/Us between positions 13 and 19, in the sense strand of the siRNA sequence. Using these rules, there is a 99.9% chance of designing an effective siRNA in a set of three with more than 50% knockdown efficiency in a biological readout.     

Identification of sequence features that predict competition potency of siRNAs

Small interfering RNAs (siRNAs) specifically knock-down target mRNAs via RNA interference (RNAi) mechanism. During this process, introduction of excess amount of exogenous siRNAs could lead to the saturation of cellular RNAi machinery. One consequence of RNAi machinery saturation is the competition between two simultaneously introduced siRNAs, during which one siRNA loses gene silencing activity. Although competition phenomena have been well characterized, the molecular and sequence features of siRNAs that specify the competition potency remain poorly understood. Here, for the first time, we performed a large-scale siRNA competition potency analysis by measuring the competition potency of 56 different siRNAs and ranking them based on their competition potency. We have also established an algorithm to predict the competition potency of siRNAs based upon the conserved sequence features of strong and weak competitor siRNAs. The present study supports our hypothesis that the competition potency of siRNAs is specified by the 5′-half antisense sequence and provides a useful guideline to design siRNAs with minimal RNAi machinery saturation.     

siSPOTR: a tool for designing highly specific and potent siRNAs for human and mouse

RNA interference (RNAi) serves as a powerful and widely used gene silencing tool for basic biological research and is being developed as a therapeutic avenue to suppress disease-causing genes. However, the specificity and safety of RNAi strategies remains under scrutiny because small inhibitory RNAs (siRNAs) induce off-target silencing. Currently, the tools available for designing siRNAs are biased toward efficacy as opposed to specificity. Prior work from our laboratory and others’ supports the potential to design highly specific siRNAs by limiting the promiscuity of their seed sequences (positions 2–8 of the small RNA), the primary determinant of off-targeting. Here, a bioinformatic approach to predict off-targeting potentials was established using publically available siRNA data from more than 50 microarray experiments. With this, we developed a specificity-focused siRNA design algorithm and accompanying online tool which, upon validation, identifies candidate sequences with minimal off-targeting potentials and potent silencing capacities. This tool offers researchers unique functionality and output compared with currently available siRNA design programs. Furthermore, this approach can greatly improve genome-wide RNAi libraries and, most notably, provides the only broadly applicable means to limit off-targeting from RNAi expression vectors.     

Designing of highly effective complementary and mismatch siRNAs for silencing a gene

In past, numerous methods have been developed for predicting efficacy of short interfering RNA (siRNA). However these methods have been developed for predicting efficacy of fully complementary siRNA against a gene. Best of author's knowledge no method has been developed for predicting efficacy of mismatch siRNA against a gene. In this study, a systematic attempt has been made to identify highly effective complementary as well as mismatch siRNAs for silencing a gene.Support vector machine (SVM) based models have been developed for predicting efficacy of siRNAs using composition, binary and hybrid pattern siRNAs. We achieved maximum correlation 0.67 between predicted and actual efficacy of siRNAs using hybrid model. All models were trained and tested on a dataset of 2182 siRNAs and performance was evaluated using five-fold cross validation techniques. The performance of our method desiRm is comparable to other well-known methods. In this study, first time attempt has been made to design mutant siRNAs (mismatch siRNAs). In this approach we mutated a given siRNA on all possible sites/positions with all possible nucleotides. Efficacy of each mutated siRNA is predicted using our method desiRm. It is well known from literature that mismatches between siRNA and target affects the silencing efficacy. Thus we have incorporated the rules derived from base mismatches experimental data to find out over all efficacy of mutated or mismatch siRNAs. Finally we developed a webserver, desiRm (http://www.imtech.res.in/raghava/desirm/) for designing highly effective siRNA for silencing a gene. This tool will be helpful to design siRNA to degrade disease isoform of heterozygous single nucleotide polymorphism gene without depleting the wild type protein.     

The effects of thiophosphate substitutions on native siRNA gene silencing

RNA mediated interference has emerged as a powerful tool in controlling gene expression in mammalian cells. We investigated the gene silencing properties of six thiophosphate substituted siRNAs (all based on a commercial luciferase medium silencer) compared to that of unmodified siRNA. We also examined the cytotoxicity and dose-response using several thiophosphate modified siRNAs with unmodified siRNA. Our results show that two thiophosphate siRNA sequences convert from medium to high silencers with the addition of four randomly placed thiophosphates. Both thiophosphate siRNAs have a statistically significant difference in luciferase gene silencing (5% and 6% activity) relative to the unmodified native medium silencer referred to as siRNA-2 (18% activity) and four other thiophosphate siRNAs that maintain their medium silencing capability. This indicates that specific thiophosphate substitutions may alter native siRNA function. Further, this shows that thiophosphate siRNAs with the same nucleotide sequence but with different sulfur modification positions have different silencing effects. Both the native siRNA and the thio siRNAs showed a concentration dependent relationship, i.e., with concentration increase, the luciferase gene silencing effect also increased. Confirming cytotoxicity experiments showed no significant changes when HeLa cells were treated with 10nM thiophosphate siRNAs over the course of several days. These results suggest that specific placement of thiophosphates could play an important role in the development of siRNAs as therapeutics by engineering in properties such as strength of binding, nuclease sensitivity, and ultimately efficacy.     

Picking a winner: new mechanistic insights into the design of effective siRNAs

Recent work has shown that the efficacy of a small interfering RNA (siRNA) for silencing gene expression is a function of how easy it is to unwind the siRNA from the 5'-antisense end. Based on these insights, one group has designed an algorithm that substantially improves the odds of picking an effective siRNA, and two groups have shown that 'forked' or 'frayed' siRNAs, which should be easier to unwind from the 5'-antisense end, are more effective than conventional siRNAs. These strategies represent important steps towards the rational design of effective siRNAs.     

siRNA-induced immunostimulation through TLR7 promotes antitumoral activity against HPV-driven tumors in vivo

Oncogene-specific downregulation mediated by RNA interference (RNAi) is a promising avenue for cancer therapy. In addition to specific gene silencing, in vivo RNAi treatment with short interfering RNAs (siRNAs) can initiate immune activation through innate immune receptors including Toll-like receptors, (TLRs) 7 and 8. Two recent studies have shown that activation of innate immunity by addition of tri-phosphate motifs to oncogene-specific siRNAs, or by co-treatment with CpG oligos, can potentiate siRNA antitumor effects. To date, there are no reports on applying such approach against human papillomavirus (HPV)-driven cancers. Here, we characterized the antitumor effects of non-modified siRNAs that can target a specific oncogene and/or recruit the innate immune system against HPV-driven tumors. Following the characterization of silencing efficacy and TLR7 immunostimulatory potential of 15 siRNAs targeting the HPV type 16 E6/E7 oncogenes, we identified a bifunctional siRNA sequence that displayed both potent gene silencing and active immunostimulation effect. In vivo systemic administration of this siRNA resulted in reduced growth of established TC-1 tumors in C57BL/6 mice. Ablation of TLR7 recruitment via 2'O-methyl modification of the oligo backbone reduced these antitumor effects. Further, a highly immunostimulatory, but non-HPV targeting siRNA was also able to exert antitumoral effects although for less prolonged time compared with the bifunctional siRNA. Collectively, our work demonstrates for the first time that siRNA-induced immunostimulation can have antitumoral effects against HPV-driven tumors in vivo, even independent of gene silencing efficacy.     

Competition potency of siRNA is specified by the 5'-half sequence of the guide strand

Small-interfering RNAs (siRNAs) execute specific cellular gene silencing by exploiting the endogenous RNA interference (RNAi) pathway. Therefore, excess amounts of siRNAs can saturate cellular RNAi machineries. Indeed, some siRNAs saturate the RNA-induced silencing complex (RISC) and competitively inhibit silencing by other siRNAs. However, the molecular feature of siRNAs that specifies competition potency has been undetermined. While previous reports suggested a correlation between the competition potency and silencing efficiency of siRNAs, we found that the silencing efficiency was insufficient to explain the competition potency. Instead, we show that the nucleotide sequence of the 5′-half of the guide strand determines the competition potency of an siRNA. Our finding provides important information for understanding the mechanistic basis of competition in combinatorial RNAi treatment.     

Gene silencing through RNA interference (RNAi) in vivo: strategies based on the direct application of siRNAs

RNA interference (RNAi) offers great potential not only for in vitro target validation, but also as a novel therapeutic strategy based on the highly specific and efficient silencing of a target gene, e.g. in tumor therapy. Since it relies on small interfering RNAs (siRNAs), which are the mediators of RNAi-induced specific mRNA degradation, a major issue is the delivery of therapeutically active siRNAs into the target tissue/target cells in vivo. For safety reasons, strategies based on (viral) vector delivery may be of only limited clinical use. The more desirable approach is to directly apply catalytically active siRNAs. This review highlights the recent knowledge on the guidelines for the selection of siRNAs which show high activity in the absence of non-specific siRNA effects. It then focuses on approaches to directly use siRNA molecules in vivo and gives a comprehensive overview of in vivo studies based on the direct application of siRNAs to induce RNAi. One promising approach is the in vivo siRNA delivery through complexation of chemically unmodified siRNAs with polyethylenimine (PEI). The anti-tumoral effects of PEI/siRNA-based targeting of tumor-relevant genes in vivo are described.     

Comprehensive evaluation of canonical versus Dicer-substrate siRNA in vitro and in vivo

Since the discovery of RNA interference (RNAi), researchers have identified a variety of small interfering RNA (siRNA) structures that demonstrate the ability to silence gene expression through the classical RISC-mediated mechanism. One such structure, termed "Dicer-substrate siRNA" (dsiRNA), was proposed to have enhanced potency via RISC-mediated gene silencing, although a comprehensive comparison of canonical siRNAs and dsiRNAs remains to be described. The present study evaluates the in vitro and in vivo activities of siRNAs and dsiRNAs targeting Phosphatase and Tensin Homolog (PTEN) and Factor VII (FVII). More than 250 compounds representing both siRNA and dsiRNA structures were evaluated for silencing efficacy. Lead compounds were assessed for duration of silencing and other key parameters such as cytokine induction. We identified highly active compounds from both canonical siRNAs and 25/27 dsiRNAs. Lead compounds were comparable in potency both in vitro and in vivo as well as duration of silencing in vivo. Duplexes from both structural classes tolerated 2'-OMe chemical modifications well with respect to target silencing, although some modified dsiRNAs demonstrated reduced activity. On the other hand, dsiRNAs were more immunostimulatory as compared with the shorter siRNAs, both in vitro and in vivo. Because the dsiRNA structure does not confer any appreciable benefits in vitro or in vivo while demonstrating specific liabilities, further studies are required to support their applications in RNAi therapeutics.     

Variations of the 3' protruding ends in synthetic short interfering RNA (siRNA) tested by microinjection in Drosophila embryos

Short interfering RNAs (siRNAs) are the processing product originating from long double-stranded RNAs (dsRNAs) that are cleaved by the RNase III-like ribonuclease Dicer. As siRNAs mediate cleavage of specific single-stranded target RNAs, they are essential intermediates of RNA interference (RNAi). When applied in synthetic form, siRNAs likewise can induce the silencing process in the absence of long dsRNAs. Here, we tested variations of a conventional synthetic siRNA that had been used successfully to silence the Drosophila notch gene. The variants had two 3 ' -terminal deoxynucleotides in their protruding single-stranded ends. In one case, the deoxynulceotides would match to the notch mRNA, whereas the other variant had nonmatching deoxy-T residues, representing a widely used siRNA design. siRNAs with different combinations of sense and antisense strands were injected into Drosophila embryos at two different concentrations. We found that the all-ribonucleotide siRNA gave the best inhibition of notch expression. The combination of two modified strands with 3 ' -terminal deoxynucleotides was effective, but if combined with a sense or antisense ribostrand, the efficacy dropped. The siRNAs with nonmatching 3 ' -terminal TT residues showed a reduced silencing potential, which became evident at low concentration. An siRNA with a nonmatching 3 ' -terminal ribonucleotide in the antisense strand retained most of its silencing potential in accordance with the hypothesis that primer extension for generation of ssRNA from single-stranded mRNA does not operate in Drosophila.     

Structural diversity repertoire of gene silencing small interfering RNAs

Since the discovery of double-stranded (ds) RNA-mediated RNA interference (RNAi) phenomenon in Caenorhabditis elegans, specific gene silencing based upon RNAi mechanism has become a novel biomedical tool that has extended our understanding of cell biology and opened the door to an innovative class of therapeutic agents. To silence genes in mammalian cells, short dsRNA referred to as small interfering RNA (siRNA) is used as an RNAi trigger to avoid nonspecific interferon responses induced by long dsRNAs. An early structure-activity relationship study performed in Drosophila melanogaster embryonic extract suggested the existence of strict siRNA structural design rules to achieve optimal gene silencing. These rules include the presence of a 3' overhang, a fixed duplex length, and structural symmetry, which defined the structure of a classical siRNA. However, several recent studies performed in mammalian cells have hinted that the gene silencing siRNA structure could be much more flexible than that originally proposed. Moreover, many of the nonclassical siRNA structural variants reported improved features over the classical siRNAs, including increased potency, reduced nonspecific responses, and enhanced cellular delivery. In this review, we summarize the recent progress in the development of gene silencing siRNA structural variants and discuss these in light of the flexibility of the RNAi machinery in mammalian cells.     

The impact of target site accessibility on the design of effective siRNAs

Small-interfering RNAs (siRNAs) assemble into RISC, the RNA-induced silencing complex, which cleaves complementary mRNAs. Despite their fluctuating efficacy, siRNAs are widely used to assess gene function. Although this limitation could be ascribed, in part, to variations in the assembly and activation of RISC, downstream events in the RNA interference (RNAi) pathway, such as target site accessibility, have so far not been investigated extensively. In this study we present a comprehensive analysis of target RNA structure effects on RNAi by computing the accessibility of the target site for interaction with the siRNA. Based on our observations, we developed a novel siRNA design tool, RNAxs, by combining known siRNA functionality criteria with target site accessibility. We calibrated our method on two data sets comprising 573 siRNAs for 38 genes, and tested it on an independent set of 360 siRNAs targeting four additional genes. Overall, RNAxs proves to be a robust siRNA selection tool that substantially improves the prediction of highly efficient siRNAs.     

Focusing on RISC assembly in mammalian cells

RISC (RNA-induced silencing complex) is a central protein complex in RNAi, into which a siRNA strand is assembled to become effective in gene silencing. By using an in vitro RNAi reaction based on Drosophila embryo extract, an asymmetric model was recently proposed for RISC assembly of siRNA strands, suggesting that the strand that is more loosely paired at its 5′ end is selectively assembled into RISC and results in target gene silencing. However, in the present study, we were unable to establish such a correlation in cell-based RNAi assays, as well as in large-scale RNAi data analyses. This suggests that the thermodynamic stability of siRNA is not a major determinant of gene silencing in mammalian cells. Further studies on fork siRNAs showed that mismatch at the 5′ end of the siRNA sense strand decreased RISC assembly of the antisense strand, but surprisingly did not increase RISC assembly of the sense strand. More interestingly, measurements of melting temperature showed that the terminal stability of fork siRNAs correlated with the positions of the mismatches, but not gene silencing efficacy. In summary, our data demonstrate that there is no definite correlation between siRNA stability and gene silencing in mammalian cells, which suggests that instead of thermodynamic stability, other features of the siRNA duplex contribute to RISC assembly in RNAi.