Effect of target secondary structure on RNAi efficiency

RNA interference (RNAi) mediated by small interfering RNAs (siRNAs) or short hairpin RNAs (shRNAs) has become a powerful tool for gene knockdown studies. However, the levels of knockdown vary greatly. Here, we examine the effect of target disruption energy, a novel measure of target accessibility, along with other parameters that may affect RNAi efficiency. Based on target secondary structures predicted by the Sfold program, the target disruption energy represents the free energy cost for local alteration of the target structure to allow target binding by the siRNA guide strand. In analyses of 100 siRNAs and 101 shRNAs targeted to 103 endogenous human genes, we find that the disruption energy is an important determinant of RNAi activity and the asymmetry of siRNA duplex asymmetry is important for facilitating the assembly of the RNA-induced silencing complex (RISC). We estimate that target accessibility and duplex asymmetry can improve the target knockdown level significantly by nearly 40% and 26%, respectively. In the RNAi pathway, RISC assembly precedes target binding by the siRNA guide strand. Thus, our findings suggest that duplex asymmetry has significant upstream effect on RISC assembly and target accessibility has strong downstream effect on target recognition. The results of the analyses suggest criteria for improving the design of siRNAs and shRNAs.     

More complete gene silencing by fewer siRNAs: transparent optimized design and biophysical signature

Highly accurate knockdown functional analyses based on RNA interference (RNAi) require the possible most complete hydrolysis of the targeted mRNA while avoiding the degradation of untargeted genes (off-target effects). This in turn requires significant improvements to target selection for two reasons. First, the average silencing activity of randomly selected siRNAs is as low as 62%. Second, applying more than five different siRNAs may lead to saturation of the RNA-induced silencing complex (RISC) and to the degradation of untargeted genes. Therefore, selecting a small number of highly active siRNAs is critical for maximizing knockdown and minimizing off-target effects. To satisfy these needs, a publicly available and transparent machine learning tool is presented that ranks all possible siRNAs for each targeted gene. Support vector machines (SVMs) with polynomial kernels and constrained optimization models select and utilize the most predictive effective combinations from 572 sequence, thermodynamic, accessibility and self-hairpin features over 2200 published siRNAs. This tool reaches an accuracy of 92.3% in cross-validation experiments. We fully present the underlying biophysical signature that involves free energy, accessibility and dinucleotide characteristics. We show that while complete silencing is possible at certain structured target sites, accessibility information improves the prediction of the 90% active siRNA target sites. Fast siRNA activity predictions can be performed on our web server at http://optirna.unl.edu/.     

Both Strands of siRNA Have Potential to Guide Posttranscriptional Gene Silencing in Mammalian Cells

Despite the widespread application of RNA interference (RNAi) as a research tool for diverse purposes, the key step of strand selection of siRNAs during the formation of RNA-induced silencing complex (RISC) remains poorly understood. Here, using siRNAs targeted to the complementary region of Survivin and the effector protease receptor 1 (EPR-1), we show that both strands of the siRNA duplex can find their target mRNA and are equally eligible for assembly into Argonaute 2 (Ago2) of RISC in HEK293 cells. Transfection of the synthetic siRNA duplexes with different thermodynamic profiles or short hairpin RNA (shRNA) vectors that generate double-stranded RNAs (dsRNAs), permitting processing specifically from either the 5′ or 3′ end of the incipient siRNA, results in the degradation of the respective target mRNAs of either strand of the siRNA duplex with comparable efficiencies. Thus, while most RNAi reactions may follow the thermodynamic asymmetry rule in strand selection, our study suggests an exceptional mode for certain siRNAs in which both strands of the duplex are competent in sponsoring RNAi, and implies additional factors that might dictate the RNAi targets.     

Uncoupling of RNAi from active translation in mammalian cells

Small inhibitory RNAs (siRNAs) are produced from longer RNA duplexes by the RNAse III family member Dicer. The siRNAs function as sequence-specific guides for RNA cleavage or translational inhibition. The precise mechanism by which siRNAs direct the RNA-induced silencing complex (RISC) to find the complementary target mRNA remains a mystery. Some biochemical evidence connects RNAi with translation making attractive the hypothesis that RISC is coupled with the translational apparatus for scanning mRNAs. Such coupling would facilitate rapid alignment of the siRNA antisense with the complementary target sequence. To test this hypothesis we took advantage of a well-characterized translational switch afforded by the ferritin IRE-IRP to analyze RNAi mediated cleavage of a target mRNA in the presence and absence of translation. Our results demonstrate that neither active translation nor unidirectional scanning is required for siRNA mediated target degradation. Our findings demonstrate that nontranslated mRNAs are highly susceptible to RNAi, and blocking scanning from both the 5' and 3' ends of an mRNA does not impede RNAi. Interestingly, RNAi is about threefold more active in the absence of translation.     

Single-stranded antisense siRNAs guide target RNA cleavage in RNAi

Small interfering RNAs (siRNAs) are the mediators of mRNA degradation in the process of RNA interference (RNAi). Here, we describe a human biochemical system that recapitulates siRNA-mediated target RNA degradation. By using affinity-tagged siRNAs, we demonstrate that a single-stranded siRNA resides in the RNA-induced silencing complex (RISC) together with eIF2C1 and/or eIF2C2 (human GERp95) Argonaute proteins. RISC is rapidly formed in HeLa cell cytoplasmic extract supplemented with 21 nt siRNA duplexes, but also by adding single-stranded antisense RNAs, which range in size between 19 and 29 nucleotides. Single-stranded antisense siRNAs are also effectively silencing genes in HeLa cells, especially when 5'-phosphorylated, and expand the repertoire of RNA reagents suitable for gene targeting.     

The rough endoplasmatic reticulum is a central nucleation site of siRNA-mediated RNA silencing

Despite progress in mechanistic understanding of the RNA interference (RNAi) pathways, the subcellular sites of RNA silencing remain under debate. Here we show that loading of lipid‐transfected siRNAs and endogenous microRNAs (miRNA) into RISC (RNA‐induced silencing complexes), encounter of the target mRNA, and Ago2‐mediated mRNA slicing in mammalian cells are nucleated at the rough endoplasmic reticulum (rER). Although the major RNAi pathway proteins are found in most subcellular compartments, the miRNA‐ and siRNA‐loaded Ago2 populations co‐sediment almost exclusively with the rER membranes, together with the RISC loading complex (RLC) factors Dicer, TAR RNA binding protein (TRBP) and protein activator of the interferon‐induced protein kinase (PACT). Fractionation and membrane co‐immune precipitations further confirm that siRNA‐loaded Ago2 physically associates with the cytosolic side of the rER membrane. Additionally, RLC‐associated double‐stranded siRNA, diagnostic of RISC loading, and RISC‐mediated mRNA cleavage products exclusively co‐sediment with rER. Finally, we identify TRBP and PACT as key factors anchoring RISC to ER membranes in an RNA‐independent manner. Together, our findings demonstrate that the outer rER membrane is a central nucleation site of siRNA‐mediated RNA silencing.     

Molecular basis for improved gene silencing by Dicer substrate interfering RNA compared with other siRNA variants

The canonical exogenous trigger of RNA interference (RNAi) in mammals is small interfering RNA (siRNA). One promising application of RNAi is siRNA-based therapeutics, and therefore the optimization of siRNA efficacy is an important consideration. To reduce unfavorable properties of canonical 21mer siRNAs, structural and chemical variations to canonical siRNA have been reported. Several of these siRNA variants demonstrate increased potency in downstream readout-based assays, but the molecular mechanism underlying the increased potency is not clear. Here, we tested the performance of canonical siRNAs and several sequence-matched variants in parallel in gene silencing, RNA-induced silencing complex (RISC) assembly, stability and Argonaute (Ago) loading assays. The commonly used 19mer with two deoxythymidine overhangs (19merTT) variant performed similarly to canonical 21mer siRNA. A shorter 16mer variant (16merTT) did not perform comparably in our assays. Dicer substrate interfering RNA (dsiRNA) demonstrated better gene silencing by the guide strand (target complementary strand), better RISC assembly, persistence of the guide strand and relatively more loading of the guide strand into Ago. Hence, we demonstrate the advantageous properties of dsiRNAs at upstream, intermediate and downstream molecular steps of the RNAi pathway.     

RNA interference tolerates 2'-fluoro modifications at the Argonaute2 cleavage site

Short interfering RNA (siRNA) molecules with good gene-silencing properties are needed for drug development based on RNA interference (RNAi). An initial step in RNAi is the activation of the RNA-induced silencing complex RISC, which requires degradation of the sense strand of the siRNA duplex. Although various chemical modifications have been introduced to the antisense strand, modifications to the Argonaute2 (Ago2) cleavage site in the sense strand have, so far, not been described in detail. In this work, novel 2'-F-purine modifications were introduced to siRNAs, and their biological efficacies were tested in cells stably expressing human tartrate-resistant acid phosphatase (TRACP). A validated siRNA that contains both purine and pyrimidine nucleotides at the putative Ago2 cleavage site was chemically modified to contain all possible combinations of 2'-fluorinated 2'-deoxypurines and/or 2'-deoxypyrimidines in the antisense and/or sense strands. The capacity of 2'-F-modified siRNAs to knock down their target mRNA and protein was studied, together with monitoring siRNA toxicity. All 2'-F-modified siRNAs resulted in target knockdown at nanomolar concentrations, despite their high thermal stability. These experiments provide the first evidence that RISC activation not only allows 2'-F modifications at the sense-strand cleavage site, but also increase the biological efficacy of modified siRNAs in vitro.     

Reduced levels of Ago2 expression result in increased siRNA competition in mammalian cells

Administration of small interfering RNAs (siRNAs) leads to degradation of specific mRNAs utilizing the cellular RNA interference (RNAi) machinery. It has been demonstrated that co-administration of siRNAs may lead to attenuation of activity of one of the siRNAs. Utilizing antisense and siRNA-mediated RNA-induced silencing complex (RISC) gene reduction we show that siRNA competition is correlated with differences in the cellular expression levels of Ago2, while levels of other RISC proteins have no effect on competition. We also show that under certain conditions siRNA competition rather than reduction of cellular RISC levels may be responsible for apparent reduction in siRNA activity. Furthermore, exploiting siRNA competition, we show that the RISC pathway loads and results in detectable cleavage of the target RNA in ~2h after transfection. The RISC pathway is also capable of being reloaded even in the absence of new protein synthesis. RISC reloading and subsequent induction of detectable cleavage of a new target RNA, requires about 9–12h following the initial transfection.     

高效siRNA设计的研究进展

RNA干扰(RNA interference, RNAi) 是生物界普遍存在的一种抵御外来基因和病毒感染的保守进化机制, 其本质是siRNA与靶向mRNA特异结合、并由RISC介导其降解, 从而阻止mRNA的翻译, 导致基因沉默。因此, RNAi可以作为基因功能研究、基因治疗等的新工具。但是, 随机设计的siRNA之间沉默效应差别很大。如何针对靶基因设计特异、高效的siRNA就成了一个关键的问题。文章对siRNA设计原则的研究进展进行了总结论述。     

Fluorescence cross-correlation spectroscopy reveals mechanistic insights into the effect of 2'-O-methyl modified siRNAs in living cells

RNA interference (RNAi) offers a powerful tool to specifically direct the degradation of complementary RNAs, and thus has great therapeutic potential for targeting diseases. Despite the reported preferences of RNAi, there is still a need for new techniques that will allow for a detailed mechanistic characterization of RNA-induced silencing complex (RISC) assembly and activity to further improve the biocompatibility of modified siRNAs. In contrast to previous reports, we investigated the effects of 2′-O-methyl (2′OMe) modifications introduced at specific positions within the siRNA at the early and late stages of RISC assembly, as well as their influence on target recognition and cleavage directly in living cells. We found that six to 10 2′OMe nucleotides on the 3′-end inhibit passenger-strand release as well as target-RNA cleavage without changing the affinity, strand asymmetry, or target recognition. 2′OMe modifications introduced at the 5′-end reduced activated RISC stability, whereas incorporations at the cleavage site showed only minor effects on passenger-strand release when present on the passenger strand. Our new fluorescence cross-correlation spectroscopy assays resolve different steps and stages of RISC assembly and target recognition with heretofore unresolved detail in living cells, which is needed to develop therapeutic siRNAs with optimized in vivo properties.     

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.     

R2D2 leads the silencing trigger to mRNA's death star

During RNA interference (RNAi), Dicer generates short interfering RNAs (siRNAs), which then guide target mRNA cleavage by the RISC complex. Now, Liu et al. identify R2D2, a Dicer-associated protein that is important for siRNA incorporation into RISC, thus linking the initiation and execution phases of RNAi.     

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.     

Analysis of energetically biased transcripts of viruses and transposable elements

RNA interference (RNAi) is a natural endogenous process by which double-stranded RNA molecules trigger potent and specific gene silencing in eukaryotic cells and is characterized by target RNA cleavage. In mammals, small interfering RNAs (siRNAs) are the trigger molecules of choice and constitute a new class of RNA-based antiviral agents. In an efficient RNAi response, the antisense strand of siRNAs must enter the RNA-induced silencing complex (RISC) in a process mediated by thermodynamic features. In this report, we hypothesize that silent mutations capable of inverting thermodynamic properties can promote resistance to siRNAs. Extensive computational analyses were used to assess whether continuous selective pressure that promotes such mutations could lead to the emergence of viral strains completely resistant to RNAi (i.e., prone to transfer only the sense strands to RISC). Based on our findings, we propose that, although synonymous mutations may produce functional resistance, this strategy cannot be systematically adopted by viruses since the longest RNAi-refractory sequence is only 10 nt long. This finding also suggests that all mRNAs display fluctuating thermodynamic landscapes and that, in terms of thermodynamic features, RNAi is a very efficient antiviral system since there will always be sites susceptible to 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.