Identifying siRNA-induced off-targets by microarray analysis.

RNA interference (RNAi) is an endogenous gene regulatory pathway that the research community has adopted to facilitate the creation of a functional map of the human genome. To achieve this, small interfering RNAs (siRNAs), short synthetic duplexes having complete homology to the intended target, are introduced into cells to silence gene expression via a posttranscriptional cleavage mechanism. While siRNAs can be designed to effectively knock down any target gene, recent studies have shown that these small molecules frequently trigger off-target effects. These unintended events can have a significant impact on experimental outcomes and subsequent data interpretation. As RNAi is envisioned to play a central role in developing a functional map of the human genome, the development of reliable protocols for identifying off-targeted genes is essential. This chapter focuses on the underlying features of siRNA-mediated off-targeting and the state-of-the-art methodology used to identify off-targeted genes via microarray-based gene expression analysis. Future adoption of standards in this field will allow a clean distinction between sequence-specific off-target gene regulation and other forms of gene modulation resulting from delivery effects and other events unrelated to the RNAi pathway.

Rational siRNA design for RNA interference.

Short-interfering RNAs suppress gene expression through a highly regulated enzyme-mediated process called RNA interference (RNAi). RNAi involves multiple RNA-protein interactions characterized by four major steps: assembly of siRNA with the RNA-induced silencing complex (RISC), activation of the RISC, target recognition and target cleavage. These interactions may bias strand selection during siRNA-RISC assembly and activation, and contribute to the overall efficiency of RNAi. To identify siRNA-specific features likely to contribute to efficient processing at each step, we performed a systematic analysis of 180 siRNAs targeting the mRNA of two genes. Eight characteristics associated with siRNA functionality were identified: low G/C content, a bias towards low internal stability at the sense strand 3'-terminus, lack of inverted repeats, and sense strand base preferences (positions 3, 10, 13 and 19). Further analyses revealed that application of an algorithm incorporating all eight criteria significantly improves potent siRNA selection. This highlights the utility of rational design for selecting potent siRNAs and facilitating functional gene knockdown studies.

Mechanistic insights aid computational short interfering RNA design.

RNA interference is widely recognized for its utility as a functional genomics tool. In the absence of reliable target site selection tools, however, the impact of RNA interference (RNAi) may be diminished. The primary determinants of silencing are influenced by highly coordinated RNA-protein interactions that occur throughout the RNAi process, including short interfering RNA (siRNA) binding and unwinding followed by target recognition, cleavage, and subsequent product release. Recently developed strategies for identification of functional siRNAs reveal that thermodynamic and siRNA sequence-specific properties are crucial to predict functional duplexes (Khvorova et al., 2003; Reynolds et al., 2004; Schwarz et al., 2003). Additional assessments of siRNA specificity reveal that more sophisticated sequence comparison tools are also required to minimize potential off-target effects (Jackson et al., 2003; Semizarov et al., 2003). This chapter reviews the biological basis for current computational design tools and how best to utilize and assess their predictive capabilities for selecting functional and specific siRNAs.

A protocol for designing siRNAs with high functionality and specificity.

Effective gene silencing by the RNA interference (RNAi) pathway requires a comprehensive understanding of the elements that influence small interfering RNA (siRNA) functionality and specificity. These include (i) sequence space restrictions that define the boundaries of siRNA targeting, (ii) structural and sequence features required for efficient siRNA performance, (iii) mechanisms that underlie nonspecific gene modulation and (iv) additional features specific to the intended use (i.e., inclusion of native sugar or base chemical modifications for increased stability or specificity, vector design, etc.). Attention to each of these factors enhances siRNA performance and heightens overall confidence in the output of RNAi-mediated functional genomic studies. Here, we provide a detailed protocol explaining the methodologies used for manual and web-based design of siRNAs.

Insulin signaling through Akt/protein kinase B analyzed by small interfering RNA-mediated gene silencing.

Glucose homeostasis is controlled by insulin in part through the translocation of intracellular glucose transporter 4 to the plasma membrane in muscle and fat cells. Akt/protein kinase B downstream of phosphatidylinositol 3-kinase has been implicated in this insulin-signaling pathway, but results with a variety of reagents including Akt1-/- and Akt2-/- mice have been equivocal. Here we report the application of small interfering RNA-directed gene silencing to deplete both Akt1 and Akt2 in cultured 3T3-L1 adipocytes. Loss of Akt1 alone slightly impaired insulin-mediated hexose transport activity but had no detectable effect on glycogen synthase kinase (GSK)-3 phosphorylation. In contrast, depletion of Akt2 alone by 70% inhibited approximately half of the insulin responsiveness. Combined depletions of Akt1 plus Akt2 in these cells even more markedly attenuated insulin action on glucose transporter 4 movements, hexose transport activity, and GSK-3 phosphorylation. These data demonstrate a primary role of Akt2 in insulin signaling, significant functional redundancy of Akt1 and Akt2 isoforms in this pathway, and an absolute requirement of Akt protein kinases for regulation of glucose transport and GSK-3 in cultured adipocytes.

Roles of the Homothorax/Meis/Prep homolog UNC-62 and the Exd/Pbx homologs CEH-20 and CEH-40 in C. elegans embryogenesis.

Co-factor homeodomain proteins such as Drosophila Homothorax (Hth) and Extradenticle (Exd) and their respective vertebrate homologs, the Meis/Prep and Pbx proteins, can increase the DNA-binding specificity of Hox protein transcription factors and appear to be required for many of their developmental functions. We show that the unc-62 gene encodes the C. elegans ortholog of Hth, and that maternal-effect unc-62 mutations can cause severe posterior disorganization during embryogenesis (Nob phenotype), superficially similar to that seen in embryos lacking function of either the two posterior-group Hox genes nob-1 and php-3 or the caudal homolog pal-1. Other zygotically acting unc-62 alleles cause earlier embryonic arrest or incompletely penetrant larval lethality with variable morphogenetic defects among the survivors, suggesting that unc-62 functions are required at several stages of development. The differential accumulation of four unc-62 transcripts is consistent with multiple functions. The C. elegans exd homologs ceh-20 and ceh-40 interact genetically with unc-62 and may have overlapping roles in embryogenesis: neither CEH-20 nor CEH-40 appears to be required when the other is present, but loss of both functions causes incompletely penetrant embryonic lethality in the presence of unc-62(+) and complete embryonic lethality in the presence of an unc-62 hypomorphic allele.