The efficacy of small interfering RNAs targeted to the type 1 insulin-like growth factor receptor (IGF1R) is influenced by secondary structure in the IGF1R transcript

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.

Synthetic dsRNA Dicer substrates enhance RNAi potency and efficacy

RNA interference (RNAi) is the process of sequence-specific post-transcriptional gene silencing triggered by double-stranded RNAs. In attempts to identify RNAi triggers that effectively function at lower concentrations, we found that synthetic RNA duplexes 25-30 nucleotides in length can be up to 100-fold more potent than corresponding conventional 21-mer small interfering RNAs (siRNAs). Some sites that are refractory to silencing by 21-mer siRNAs can be effectively targeted by 27-mer duplexes, with silencing lasting up to 10 d. Notably, the 27-mers do not induce interferon or activate protein kinase R (PKR). The enhanced potency of the longer duplexes is attributed to the fact that they are substrates of the Dicer endonuclease, directly linking the production of siRNAs to incorporation in the RNA-induced silencing complex. These results provide an alternative strategy for eliciting RNAi-mediated target cleavage using low concentrations of synthetic RNA as substrates for cellular Dicer-mediated cleavage.

Stable knock-down of the sphingosine 1-phosphate receptor S1P1 influences multiple functions of human endothelial cells

OBJECTIVES

Sphingosine 1-phosphate (S1P) is a bioactive phospholipid acting both as a ligand for the G protein-coupled receptors S1P1-5 and as a second messenger. Because S1P1 knockout is lethal in the transgenic mouse, an alternative approach to study the function of S1P1 in endothelial cells is needed.

METHODS AND RESULTS

All human endothelial cells analyzed expressed abundant S1P1 transcripts. We permanently silenced (by RNA interference) the expression of S1P1 in the human endothelial cell lines AS-M.5 and ISO-HAS.1. The S1P1 knock-down cells manifested a distinct morphology and showed neither actin ruffles in response to S1P nor an angiogenic reaction. In addition, these cells were more sensitive to oxidant stress-mediated injury. New S1P1-dependent gene targets were identified in human endothelial cells. S1P1 silencing decreased the expression of platelet-endothelial cell adhesion molecule-1 and VE-cadherin and abolished the induction of E-selectin after cell stimulation with lipopolysaccharide or tumor necrosis factor-alpha. Microarray analysis revealed downregulation of further endothelial specific transcripts after S1P1 silencing.

CONCLUSIONS

Long-term silencing of S1P1 enabled us for the first time to demonstrate the involvement of S1P1 in key functions of endothelial cells and to identify new S1P1-dependent gene targets.

RNAi-mediated silencing of CD40 prevents leukocyte adhesion on CD154-activated endothelial cells

The CD40-CD154 dyad has a central role in the development of immune-inflammatory processes. Therefore, disruption of CD40 signaling has the potential to be therapeutically useful in a number of disease indications, including autoimmune syndromes, atherosclerosis, and allograft rejection. Blocking antibodies to CD154 have been successfully employed in experimental animal models, and recently in clinical trials, to prevent or treat these immunologically induced diseases. However, the thrombotic events observed in some of these studies raise important issues regarding future use of anti-CD154 antibodies in humans. In this study, we demonstrate that a small interfering RNA (siRNA) can effectively reduce the surface expression of the human CD40 costimulatory receptor. Moreover, by rendering endothelial cells unresponsive to CD154+ Jurkat cell–mediated activation through RNA interference, induction of endothelial cell-adhesion molecule expression and leukocyte adhesion is prevented in vitro. Thus, anti-CD40 siRNA may become a safe and effective therapeutic option for interfering with CD40-CD154–mediated acute or chronic immune-inflammatory conditions.

Oligonucleotide-based knockdown technologies: antisense versus RNA interference

The postgenomic era is characterized by an almost intimidating amount of information regarding the sequences and expression of previously unknown genes. In response, researchers have developed an increasing interest in functional studies. At the start of such a study, one may have little more than sequence information and bioinformatic annotation. The next step is to hypothesize a potential role in the context of a cell. Testing of the hypothesis needs to be fast, cheap, and applicable to a large number of genes. Knockdown methods that rely on binding of antisense oligonucleotides to mRNA combined with a subsequent functional assay in cell culture fulfil these requirements: sequence information is sufficient for synthesis of active inhibitors. Depending on the in vitro model chosen, knockdown of gene expression can be achieved with medium or even high throughput. The two most popular methods of knockdown in cell culture are the use of antisense oligonucleotides that rely on ribonuclease H (RNAse H)-dependent cleavage of mRNA, and RNA interference triggered by small double-stranded RNA molecules. Both methods act in a sequence-specific manner and can give efficient knockdown. In both cases, researchers struggle with nonspecific "off-target" effects and the difficulty of site selection. Studies that compare the methods differ in their judgment as to which method is superior.

A population-based statistical approach identifies parameters characteristic of human microRNA-mRNA interactions

Background

MicroRNAs are ~17–24 nt. noncoding RNAs found in all eukaryotes that degrade messenger RNAs via RNA interference (if they bind in a perfect or near-perfect complementarity to the target mRNA), or arrest translation (if the binding is imperfect). Several microRNA targets have been identified in lower organisms, but only one mammalian microRNA target has yet been validated experimentally.

Results

We carried out a population-wide statistical analysis of how human microRNAs interact complementarily with human mRNAs, looking for characteristics that differ significantly as compared with scrambled control sequences. These characteristics were used to identify a set of 71 outlier mRNAs unlikely to have been hit by chance.

Unlike the case in C. elegans and Drosophila, many human microRNAs exhibited long exact matches (10 or more bases in a row), up to and including perfect target complementarity. Human microRNAs hit outlier mRNAs within the protein coding region about 2/3 of the time. And, the stretches of perfect complementarity within microRNA hits onto outlier mRNAs were not biased near the 5'-end of the microRNA. In several cases, an individual microRNA hit multiple mRNAs that belonged to the same functional class.

Conclusions

The analysis supports the notion that sequence complementarity is the basis by which microRNAs recognize their biological targets, but raises the possibility that human microRNA-mRNA target interactions follow different rules than have been previously characterized in Drosophila and C. elegans.

Rapid Assessment of Anti-HIV siRNA Efficacy Using PCR-Derived Pol III shRNA Cassettes

Identification of sequences within a target mRNA that are susceptible to potent siRNA knockdown often requires testing several independent siRNAs or shRNA expression cassettes. Using RNAi against HIV RNAs is further complicated by the length of the viral genome, the complexity of splicing patterns, and the propensity for genetic heterogeneity; consequently, it is most important to identify a number of siRNA targets that potently block viral replication. We previously described a facile PCR-based strategy for rapid synthesis of si/shRNA expression units and their testing in mammalian cells. Using this approach, which is rapid and inexpensive, it is possible to screen a number of potential RNAi targets in HIV to identify those that are most susceptible to RNAi. We report that shRNA expression cassettes constructed by PCR and cotransfected directly into mammalian cells with HIV proviral DNA express shRNAs that are inhibitory to HIV-1 replication. Our results also demonstrate that there is a wide range of efficacies among shRNAs targeting different sites throughout the HIV genome. By screening several different targets we were able to identify a sequence in a common tat/rev exon that is exquisitely sensitive to RNAi. Furthermore we relate the efficacies of our PCR product expressed shRNAs to the relative stabilities of the siRNA duplexes and the accessibilities of the target sites to antisense base pairing in cell extracts.

Sfold web server for statistical folding and rational design of nucleic acids

The Sfold web server provides user-friendly access to Sfold, a recently developed nucleic acid folding software package, via the World Wide Web (WWW). The software is based on a new statistical sampling paradigm for the prediction of RNA secondary structure. One of the main objectives of this software is to offer computational tools for the rational design of RNA-targeting nucleic acids, which include small interfering RNAs (siRNAs), antisense oligonucleotides and trans-cleaving ribozymes for gene knock-down studies. The methodology for siRNA design is based on a combination of RNA target accessibility prediction, siRNA duplex thermodynamic properties and empirical design rules. Our approach to target accessibility evaluation is an original extension of the underlying RNA folding algorithm to account for the likely existence of a population of structures for the target mRNA. In addition to the application modules Sirna, Soligo and Sribo for siRNAs, antisense oligos and ribozymes, respectively, the module Srna offers comprehensive features for statistical representation of sampled structures. Detailed output in both graphical and text formats is available for all modules. The Sfold server is available at http://sfold.wadsworth.org and http://www.bioinfo.rpi.edu/applications/sfold.

The insulin like growth factor-1 receptor (IGF-1R) as a drug target: novel approaches to cancer therapy

The insulin-like growth factor 1 receptor (IGF-1R) is an important signaling molecule in cancer cells and plays an essential role in the establishment and maintenance of the transformed phenotype. Inhibition of IGF-1R signaling thus appears to be a promising strategy to interfere with the growth and survival of cancer cells. Different classes of molecules, e.g., antisense RNA, monoclonal antibodies and dominant negative IGF-1R gene variants, have been employed towards this aim. These agents have been able to reverse the transformed phenotype in several rodent and human cancer cell lines. The application of peptide aptamers specifically binding to the IGF-1R represents a novel approach to target IGF-1R signaling. The integration of peptide aptamers into targeted protein degradation vehicles and their transduction into cells allows the temporary elimination of the receptor protein. This review summarizes recently published data about inhibition of IGF-1R signaling and provides a perspective on upcoming possibilities.

Approaches for the sequence-specific knockdown of mRNA

Over the past 25 years there have been thousands of published reports describing applications of antisense nucleic acid derivatives for targeted inhibition of gene function. The major classes of antisense agents currently used by investigators for sequence-specific mRNA knockdowns are antisense oligonucleotides (ODNs), ribozymes, DNAzymes and RNA interference (RNAi). Whatever the method, the problems for effective application are remarkably similar: efficient delivery, enhanced stability, minimization of off-target effects and identification of sensitive sites in the target RNAs. These challenges have been in existence from the first attempts to use antisense research tools, and need to be met before any antisense molecule can become widely accepted as a therapeutic agent.

Characterization of RNA interference in rat PC12 cells: requirement of GERp95

Double-stranded RNA can initiate post transcriptional gene silencing in mammalian cell cultures via a mechanism known as RNA interference (RNAi). The sequence-specific degradation of homologous mRNA is triggered by 21-nucleotide RNA-duplexes termed short interfering RNA (siRNA). The homologous strand of the siRNA guides a multi-protein complex, RNA-induced silencing complex (RISC), to cleave target mRNA. Although the exact function and composition of RISC is still unclear, it has been shown to include several proteins of the Argonaute protein family. Here we report of a robust system to achieve RNAi in a cultured rat neuronal cell line, PC12. Targeting of neuropeptide Y mRNA by synthetic siRNA results in knock down of the mRNA levels with an IC50 of approximately 0.1 nM. The mRNA knockdown lasts for at least 96 h and is not dependent on protein synthesis. Further, PC12 cells were ablated of the rat Golgi-ER protein 95 kDa (GERp95), an Argonaute family protein, by siRNA methodology. After GERp95-ablation, sequential knockdown of NPY by siRNA was shown to be impaired. Thus, we report that the GERp95 protein is functionally required for RNAi targeting NPY in rat PC12 cells.

Antisense technology in molecular and cellular bioengineering

Antisense technology is finding increasing application not only in clinical development, but also for cellular engineering. Several types of antisense methods (e.g. antisense oligonucleotides, antisense RNA and small interfering RNA) can be used to inhibit the expression of a target gene. These antisense methods are being used as part of metabolic engineering strategies to downregulate enzymes controlling undesired pathways with regard to product formation. In addition, they are beginning to be utilized to control cell phenotype in tissue engineering constructs. As improved methods for antisense effects that can be externally regulated emerge, these approaches are likely to find increased application in cellular engineering applications.

Gene silencing nucleic acids designed by scanning arrays: anti-EGFR activity of siRNA, ribozyme and DNA enzymes targeting a single hybridization-accessible region using the same delivery system

Gene silencing nucleic acids such as ribozymes, DNA enzymes (DNAzymes), antisense oligonucleotides (ODNs), and small interfering (si)RNA rely on hybridization to accessible sites within target mRNA for activity. However, the accurate prediction of hybridization accessible sites within mRNAs for design of effective gene silencing reagents has been problematic. Here we have evaluated the use of scanning arrays for the effective design of ribozymes, DNAzymes and siRNA sequences targeting the epidermal growth factor receptor (EGFR) mRNA. All three gene silencing nucleic acids designed to be complementary to the same array-defined hybridization accessible-site within EGFR mRNA were effective in inhibiting the growth of EGFR over-expressing A431 cancer cells in a dose dependent manner when delivered using the cationic lipid (Lipofectin) delivery system. Effects on cell growth were correlated in all cases with concomitant dose-dependent reduction in EGFR protein expression. The control sequences did not markedly alter cell growth or EGFR expression. The ribozyme and DNAzyme exhibited similar potency in inhibiting cell growth with IC50 values of around 750 nM. In contrast, siRNA was significantly more potent with an IC50 of about 100 nM when delivered with Lipofectin. The potency of siRNA was further enhanced when Oligofectamine was used to further improve both the cellular uptake and subcellular distribution of fluorescently labelled siRNA. Our studies show that active siRNAs can be designed using hybridization accessibility profiles on scanning arrays and that siRNAs targeting the same array-designed hybridization accessible site in EGFR mRNA and delivered using the same delivery system are more potent than ribozymes and DNAzymes in inhibiting EGFR expression in A431 cells.

The gene-silencing efficiency of siRNA is strongly dependent on the local structure of mRNA at the targeted region

The gene-silencing effect of short interfering RNA (siRNA) is known to vary strongly with the targeted position of the mRNA. A number of hypotheses have been suggested to explain this phenomenon. We would like to test if this positional effect is mainly due to the secondary structure of the mRNA at the target site. We proposed that this structural factor can be characterized by a single parameter called "the hydrogen bond (H-b) index," which represents the average number of hydrogen bonds formed between nucleotides in the target region and the rest of the mRNA. This index can be determined using a computational approach. We tested the correlation between the H-b index and the gene-silencing effects on three genes (Bcl-2, hTF, and cyclin B1) using a variety of siRNAs. We found that the gene-silencing effect is inversely dependent on the H-b index, indicating that the local mRNA structure at the targeted site is the main cause of the positional effect. Based on this finding, we suggest that the H-b index can be a useful guideline for future siRNA design.

A genomic selection strategy to identify accessible and dimerization blocking targets in the 5'-UTR of HIV-1 RNA

Defining target sites for antisense oligonucleotides in highly structured RNA is a non-trivial exercise that has received much attention. Here we describe a novel and simple method to generate a library composed of all 20mer oligoribonucleotides that are sense- and antisense to any given sequence or genome and apply the method to the highly structured HIV-1 leader RNA. Oligoribonucleotides that interact strongly with folded HIV-1 RNA and potentially inhibit its dimerization were identified through iterative rounds of affinity selection by native gel electrophoresis. We identified five distinct regions in the HIV-1 RNA that were particularly prone to antisense annealing and a structural comparison between these sites suggested that the 3'-end of the antisense RNA preferentially interacts with single-stranded loops in the target RNA, whereas the 5'-end binds within double-stranded regions. The selected RNA species and corresponding DNA oligonucleotides were assayed for HIV-1 RNA binding, ability to block reverse transcription and/or potential to interfere with dimerization. All the selected oligonucleotides bound rapidly and strongly to the HIV-1 leader RNA in vitro and one oligonucleotide was capable of disrupting RNA dimers efficiently. The library selection methodology we describe here is rapid, inexpensive and generally applicable to any other RNA or RNP complex. The length of the oligonucleotide in the library is similar to antisense molecules generally applied in vivo and therefore likely to define targets relevant for HIV-1 therapy.

The reduction of Raf-1 protein by phosphorothioate ODNs and siRNAs targeted to the same two mRNA sequences

Two sets of 20-mer phosphorothioate-modified oligodeoxynucleotide DNAs (sODN) and 21-mer or 22-mer small interfering RNAs (siRNAs), targeted to the same coding sites in raf-1 mRNA, were compared for their abilities to reduce the amount of endogenously expressed Raf-1 protein in T24 cells. The amount of Raf-1 protein was monitored by careful quantitation of Western blots. We found that the siRNAs were somewhat less effective than the S-ODNs in reducing the Raf-1 protein level 20 hours after a 4-hour transfection. The siRNA duplexes were characterized by circular dichroism (CD) spectra, and melting temperatures (Tm) were obtained for the siRNA duplexes and DNA x RNA hybrids formed by the S-ODNs. The S-ODNs differed in their effectiveness, the S-ODN that formed the more stable hybrid being the more effective in reducing the Raf-1 protein level, but the two siRNAs were equally effective despite a difference in Tm of about 20 degrees C. Finally, the siRNAs and S-ODNs had a comparable nonspecific effect on a nontargeted (Bcl-2) protein. Our data add to others in the literature that show it can be difficult to select siRNAs that are more effective than antisense ODNs in downregulating endogenously expressed proteins.

Specific killing of Ph+ chronic myeloid leukemia cells by a lentiviral vector-delivered anti-bcr/abl small hairpin RNA

Chronic myeloid leukemia (CML) is characterized by a reciprocal chromosomal translocation between chromosomes 9 and 22 t(9;22)(q34;q11) that causes fusion of the bcr and abl genes. Transcription and splicing of the fusion gene generate two major splice variants of the bcr/abl transcript that encode an oncoprotein with tyrosine kinase activity. We have taken advantage of lentiviral vectormediated delivery of anti-bcr/abl short hairpin RNAs (shRNA) to downregulate the bcr/abl transcript in Philadelphia chromosome-positive (Ph+) K562 leukemia cells. This downregulation caused complete inhibition of proliferation of these cells and was accompanied by >90% inhibition of the bcr/abl transcript and p210 protein. These results demonstrate the feasibility of using a lentiviral vector to stably transduce therapeutic shRNAs into leukemia cells for the potential ex vivo purging of Ph+ cells in an autologous hematopoietic cell transplant setting. Furthermore, the robust expression of the shRNAs from our lentiviral vector suggests that this system could be generally useful for the expression of other shRNAs.

An algorithm for selection of functional siRNA sequences

Randomly designed siRNA targeting different positions within the same mRNA display widely differing activities. We have performed a statistical analysis of 46 siRNA, identifying various features of the 19bp duplex that correlate significantly with functionality at the 70% knockdown level and verified these results against an independent data set of 34 siRNA recently reported by others. Features that consistently correlated positively with functionality across the two data sets included an asymmetry in the stability of the duplex ends (measured as the A/U differential of the three terminal basepairs at either end of the duplex) and the motifs S1, A6, and W19. The presence of the motifs U1 or G19 was associated with lack of functionality. A selection algorithm based on these findings strongly differentiated between the two functional groups of siRNA in both data sets and proved highly effective when used to design siRNA targeting new endogenous human genes.

Human immunodeficiency virus type 1 escapes from RNA interference-mediated inhibition

Short-term assays have suggested that RNA interference (RNAi) may be a powerful new method for intracellular immunization against human immunodeficiency virus type 1 (HIV-1) infection. However, RNAi has not yet been shown to protect cells against HIV-1 in long-term virus replication assays. We stably introduced vectors expressing small interfering RNAs (siRNAs) directed against the HIV-1 genome into human T cells by retroviral transduction. We report here that an siRNA directed against the viral Nef gene (siRNA-Nef) confers resistance to HIV-1 replication. This block in replication is not absolute, and HIV-1 escape variants that were no longer inhibited by siRNA-Nef appeared after several weeks of culture. These RNAi-resistant viruses contained nucleotide substitutions or deletions in the Nef gene that modified or deleted the siRNA-Nef target sequence. These results demonstrate that efficient inhibition of HIV-1 replication through RNAi is possible in stably transduced cells. Therefore, RNAi could become a realistic gene therapy approach with which to overcome the devastating effect of HIV-1 on the immune system. However, as is known for antiviral drug therapy against HIV-1, antiviral approaches involving RNAi should be used in a combined fashion to prevent the emergence of resistant viruses.

Efficient RNA interference depends on global context of the target sequence: quantitative analysis of silencing efficiency using Eulerian graph representation of siRNA

Several aspects of gene silencing by small interfering RNA duplexes (siRNA) influence the efficiency of the silencing. They can be divided into two categories, one covering the cell-specific factors and the other covering molecular factors of the RNA interference (RNAi). A prerequisite for sequence-based siRNA design is that hybridization thermodynamics is the dominant factor. Our assumption is that cell-specific parameters (cell line, degradation, cross-hybridization, target conformation, etc.) can be pooled into an average cellular factor. Our hypothesis is that the molecular basis of the positional dependence of siRNA-induced gene silencing is the uniqueness of context of a corresponding target sequence segment relative to all other such segments along the attacked RNA. We encode this context into descriptors derived from Eulerian graph representation of siRNAs and show that the descriptor based upon the contextual similarity and predicted thermodynamic stability correlates with the experimentally observed silencing efficiency of human lamin A/C gene. We further show that information encoded in this regression function is generalizable and can be used as a predictor of siRNA efficiency in unrelated genes (CD54 and PTEN). In summary, our method represents an evolution of siRNA design from the currently used algorithms which are only qualitative in nature.

Inhibition of hepatitis B virus replication by stably expressed shRNA

The major challenges for anti-hepatitis B Virus (HBV) therapy are the low efficacy of current drugs and the occurrence of drug resistant HBV mutations. A drug with new target sites or independent metabolic pathways may overcome these shortcomings. Small interfering RNA (siRNA) offers the possibility of developing a new anti-HBV therapy. Here we describe the almost complete inhibition of HBV replication by stably expressed 21-mer short hairpin RNAs (shRNA). Besides the conventional targets on HBV reverse-transcriptase, we also systemically targeted other sites of pregenomic RNA, including direct repeat (DR) elements, S, core, and X gene. Our results indicated that shRNAs can serve as efficient alternative anti-HBV agents. They can also be used in combination with chemotherapy, because they showed better effects on the inhibition of HBV replication due to different mechanisms of drug actions.

Probing alternative foldings of the HIV-1 leader RNA by antisense oligonucleotide scanning arrays

Scanning arrays of antisense DNA oligonucleotides provide a novel and systematic means to study structural features within an RNA molecule. We used this approach to probe the structure of the untranslated leader of the human immunodeficiency virus type 1 (HIV-1) RNA genome. This 335 nt RNA encodes multiple important replication signals and adopts two mutually exclusive conformations. The poly(A) and the dimer initiation signal (DIS) sequences of the leader RNA are base-paired in the long-distance interaction (LDI) conformation, but both domains form distinct hairpins in the branched multiple hairpins (BMH) conformation. An RNA switch mechanism has been proposed to regulate the activity of the DIS dimerization signal that is masked in one, yet exposed in the other conformation. The two RNA conformations demonstrate discrete differences in the array-based hybridization patterns. LDI shows increased hybridization in the poly(A) region and decreased hybridization in the DIS region when compared with BMH. These results provide additional evidence for the structure models of the two alternative leader RNA conformations. We also found a correlation between the efficiency of oligonucleotide hybridization and the accessibility of the RNA structure as determined by chemical and enzymatic probing in previous studies. The array approach therefore provides a very sensitive method to detect structural differences in related transcripts.

Distinct roles for insulin and insulin-like growth factor-1 receptors in pancreatic beta-cell glucose sensing revealed by RNA silencing

The importance of the insulin receptor (IR) and the insulin-like growth factor-1 receptor (IGF-1R) for glucose-regulated insulin secretion and gene expression in pancreatic islet beta-cells is at present unresolved. Here, we have used small interfering RNAs (siRNAs) to silence the expression of each receptor selectively in clonal MIN6 beta-cells. Reduction of IR levels by >90% completely inhibited glucose (30 mM compared with 3 mM)-induced insulin secretion, but had no effect on depolarization-stimulated secretion. IR depletion also blocked the accumulation of preproinsulin (PPI), pancreatic duodenum homoeobox-1 (PDX-1) and glucokinase (GK) mRNAs at elevated glucose concentrations, as assessed by quantitative real-time PCR analysis (TaqMan). Similarly, depletion of IGF-1R inhibited glucose-induced insulin secretion but, in contrast with the effects of IR silencing, had little impact on the regulation of gene expression by glucose. Moreover, loss of IGF-1R, but not IR, markedly inhibited glucose-stimulated increases in cytosolic and mitochondrial ATP, suggesting a role for IGF-1R in the maintenance of oxidative metabolism and in the generation of mitochondrial coupling factors. RNA silencing thus represents a useful tool for the efficient and selective inactivation of receptor tyrosine kinases in isolated beta-cells. By inhibiting glucose-stimulated insulin secretion through the inactivation of IGF-1R, this approach also demonstrates the existence of insulin-independent mechanisms whereby elevated glucose concentrations regulate PPI, PDX-1 and GK gene expression in beta-cells.

A statistical sampling algorithm for RNA secondary structure prediction

An RNA molecule, particularly a long-chain mRNA, may exist as a population of structures. Further more, multiple structures have been demonstrated to play important functional roles. Thus, a representation of the ensemble of probable structures is of interest. We present a statistical algorithm to sample rigorously and exactly from the Boltzmann ensemble of secondary structures. The forward step of the algorithm computes the equilibrium partition functions of RNA secondary structures with recent thermodynamic parameters. Using conditional probabilities computed with the partition functions in a recursive sampling process, the backward step of the algorithm quickly generates a statistically representative sample of structures. With cubic run time for the forward step, quadratic run time in the worst case for the sampling step, and quadratic storage, the algorithm is efficient for broad applicability. We demonstrate that, by classifying sampled structures, the algorithm enables a statistical delineation and representation of the Boltzmann ensemble. Applications of the algorithm show that alternative biological structures are revealed through sampling. Statistical sampling provides a means to estimate the probability of any structural motif, with or without constraints. For example, the algorithm enables probability profiling of single-stranded regions in RNA secondary structure. Probability profiling for specific loop types is also illustrated. By overlaying probability profiles, a mutual accessibility plot can be displayed for predicting RNA:RNA interactions. Boltzmann probability-weighted density of states and free energy distributions of sampled structures can be readily computed. We show that a sample of moderate size from the ensemble of an enormous number of possible structures is sufficient to guarantee statistical reproducibility in the estimates of typical sampling statistics. Our applications suggest that the sampling algorithm may be well suited to prediction of mRNA structure and target accessibility. The algorithm is applicable to the rational design of small interfering RNAs (siRNAs), antisense oligonucleotides, and trans-cleaving ribozymes in gene knock-down studies.

A Multi-Model Approach to Nucleic Acid-Based Drug Development

With the advent of functional genomics and the shift of interest towards sequence-based therapeutics, the past decades have witnessed intense research efforts on nucleic acid-mediated gene regulation technologies. Today, RNA interference is emerging as a groundbreaking discovery, holding promise for development of genetic modulators of unprecedented potency. Twenty-five years after the discovery of antisense RNA and ribozymes, gene control therapeutics are still facing developmental difficulties, with only one US FDA-approved antisense drug currently available in the clinic. Limited predictability of target site selection models is recognized as one major stumbling block that is shared by all of the so-called complementary technologies, slowing the progress towards a commercial product. Currently employed in vitro systems for target site selection include RNAse H-based mapping, antisense oligonucleotide microarrays, and functional screening approaches using libraries of catalysts with randomized target-binding arms to identify optimal ribozyme/DNAzyme cleavage sites. Individually, each strategy has its drawbacks from a drug development perspective. Utilization of message-modulating sequences as therapeutic agents requires that their action on a given target transcript meets criteria of potency and selectivity in the natural physiological environment. In addition to sequence-dependent characteristics, other factors will influence annealing reactions and duplex stability, as well as nucleic acid-mediated catalysis. Parallel consideration of physiological selection systems thus appears essential for screening for nucleic acid compounds proposed for therapeutic applications. Cellular message-targeting studies face issues relating to efficient nucleic acid delivery and appropriate analysis of response. For reliability and simplicity, prokaryotic systems can provide a rapid and cost-effective means of studying message targeting under pseudo-cellular conditions, but such approaches also have limitations. To streamline nucleic acid drug discovery, we propose a multi-model strategy integrating high-throughput-adapted bacterial screening, followed by reporter-based and/or natural cellular models and potentially also in vitro assays for characterization of the most promising candidate sequences, before final in vivo testing.

Genetic Manipulation of Mammary Gland Development and Lactation

The mammalian genome is believed to contain some 30,000 to 40,000 different genes. Of these an estimated 42% have no known function. Genetically engineered mouse models (GEMM) have been a powerful tool available for determining gene function in vivo. In the mammary gland, a variety of genetic engineering approaches have been applied successfully to understanding the importance of specific gene products to mammary gland development and lactation. Our own laboratory has applied genetically engineered mice to facilitate understanding of the regulation of mammary gland development and lactation by insulin-like growth factors (IGF) and by the transcription factor, upstream stimulatory factor (USF-2). Our studies on transgenic mice that overexpress IGF-I have demonstrated the importance of IGF-dependent signaling pathways to maintenance of mammary epithelial cells during the declining phase of lactation. Our analysis of early developmental processes in mammary tissue from mice that carry a targeted mutation in the IGF-I receptor gene suggests that IGF-dependent stimulation of cell cycle progression is more important to early mammary gland development than potential antiapoptotic effects. Lastly, our studies on mice that carry a targeted mutation of the Usf2 gene have demonstrated that this gene is necessary for normal lactation and have highlighted the importance of this gene to the maintenance of protein synthesis. These studies, as well as studies of others, have highlighted both the strengths and limitations inherent in the use of GEMM. Limitations serve as the driving force behind development of new experimental strategies and genetic engineering schemes that will allow for a full understanding of gene function within the mammary gland.

Growth factor receptors as therapeutic targets: strategies to inhibit the insulin-like growth factor I receptor

Neoplastic transformation is often related to abnormal activation of growth factor receptors and their signaling pathways. The concept of targeting specific tumorigenic receptors and/or signaling molecules has been validated by the development and successful clinical application of drugs acting against the epidermal growth factor receptor 2 (HER2/neu, Erb2), the epidermal growth factor receptor 1 (EGFR, HER1), the Brc-Abl kinase, the platelet-derived growth factor receptor, and c-kit. This review will focus on the next promising therapeutic target, the insulin-like growth factor I receptor (IGF-IR). IGF-IR has been implicated in a number of neoplastic diseases, including several common carcinomas. From a pharmaceutical standpoint, of particular importance is that IGF-IR appears to be required for many transforming agents (genetic, viral, chemical) to act, but is not obligatory for the function of normal adult cells. The tumorigenic potential of IGF-IR is mediated through its antiapoptotic and transforming signaling, and in some cases through induction of prometastatic pathways. Preclinical studies demonstrated that downregulation of IGF-IR reversed the neoplastic phenotype and sensitized cells to antitumor treatments. The strategies to block IGF-IR function employed anti-IGF-IR antibodies, small-molecule inhibitors of the IGF-IR tyrosine kinase, antisense oligodeoxynucleotides and antisense RNA, small inhibitory RNA, triple helix, dominant-negative mutants, and various compounds reducing ligand availability. The experience with these strategies combined with the knowledge gained with current anti-growth factor receptor drugs should streamline the development of anti-IGF-IR therapeutics.

Identification of modulators of TRAIL-induced apoptosis via RNAi-based phenotypic screening

New opportunities in mammalian functional genomics are emerging through the combination of high throughput technology and methods that allow manipulation of gene expression in living cells. Here we describe the application of an RNAi-based forward genomics approach toward understanding the biology and mechanism of TRAIL-induced apoptosis. TRAIL is a TNF superfamily member that induces selective cytotoxicity of tumor cells when bound to its cognate receptors. In addition to detecting well-characterized genes in the apoptosis pathway, we uncover several modulators including DOBI, a gene required for progression of the apoptotic signal through the intrinsic mitochondrial cell death pathway, and MIRSA, a gene that acts to limit TRAIL-induced apoptosis. Moreover, our data suggest a role for MYC and the WNT pathway in maintaining susceptibility to TRAIL. Collectively, these observations offer several insights on how TRAIL mediates the selective killing of tumor cells and demonstrate the utility of large-scale RNAi screens in mammalian cells.

Enhanced gene silencing by the application of multiple specific small interfering RNAs

Small interfering RNA duplexes (siRNA) induce gene silencing in various eukaryotic cells, although usually in an incomplete manner. Using chemically synthesized siRNAs targeting the HIV-1 co-receptor CXCR4 or the apoptosis-inducing Fas-ligand (FasL), co-transfection of cells with two or more siRNA duplexes targeting different sites on the same mRNA resulted in an enhanced gene silencing compared with each single siRNA. This was shown in the down-regulation of protein and mRNA expression, and functionally in the inhibition of CXCR4-mediated HIV infection and of FasL-mediated cell apoptosis. Transfection efficiency determined for the FasL-specific siRNAs was dose-dependent and varied among the siRNAs tested, but was not the main reason for the enhanced gene silencing.

The activity of siRNA in mammalian cells is related to structural target accessibility: a comparison with antisense oligonucleotides

The biological activity of siRNA seems to be influenced by local characteristics of the target RNA, including local RNA folding. Here, we investigated quantitatively the relationship between local target accessibility and the extent of inhibition of the target gene by siRNA. Target accessibility was assessed by a computational approach that had been shown earlier to be consistent with experimental probing of target RNA. Two sites of ICAM-1 mRNA predicted to serve as accessible motifs and one site predicted to adopt an inaccessible structure were chosen to test siRNA constructs for suppression of ICAM-1 gene expression in ECV304 cells. The local target-dependent effectiveness of siRNA was compared with antisense oligonucleotides (asON). The concentration dependency of siRNA-mediated suppression indicates a >1000-fold difference between active siRNAs (IC50 approximately 0.2-0.5 nM) versus an inactive siRNA (IC50 > or = 1 microM) which is consistent with the activity pattern of asON when relating target suppression to predicted local target accessibility. The extremely high activity of the siRNA si2B (IC50 = 0.24 nM) indicates that not all siRNAs shown to be active at the usual concentrations of >10-100 nM belong to this highly active species. The observations described here suggest an option to assess target accessibility for siRNA and, thus, support the design of active siRNA constructs. This approach can be automated, work at high throughput and is open to include additional parameters relevant to the biological activity of siRNA.