RNA accessibility prediction: a theoretical approach is consistent with experimental studies in cell extracts

Analysis of 11,430 recombinant protein production experiments reveals that protein yield is tunable by synonymous codon changes of translation initiation sites

Recombinant protein production is a key process in generating proteins of interest in the pharmaceutical industry and biomedical research. However, about 50% of recombinant proteins fail to be expressed in a variety of host cells. Here we show that the accessibility of translation initiation sites modelled using the mRNA base-unpairing across the Boltzmann's ensemble significantly outperforms alternative features. This approach accurately predicts the successes or failures of expression experiments, which utilised Escherichia coli cells to express 11,430 recombinant proteins from over 189 diverse species. On this basis, we develop TIsigner that uses simulated annealing to modify up to the first nine codons of mRNAs with synonymous substitutions. We show that accessibility captures the key propensity beyond the target region (initiation sites in this case), as a modest number of synonymous changes is sufficient to tune the recombinant protein expression levels. We build a stochastic simulation model and show that higher accessibility leads to higher protein production and slower cell growth, supporting the idea of protein cost, where cell growth is constrained by protein circuits during overexpression.

Effects of Pathogenic Variations in the Human Rhodopsin Gene (hRHO) on the Predicted Accessibility for a Lead Candidate Ribozyme

Purpose

The mutation-independent strategy for hammerhead ribozyme (hhRz) or RNA interference (RNAi)-based gene therapeutics to treat autosomal dominant diseases is predicated on the hypothesis that a single therapeutic would equivalently suppress all/most of the diverse mutant mRNAs in patients with the disease phenotype. However, the hypothesis has not been formally tested. We address this through a comprehensive bioinformatics study of how mutations affect target mRNA structure accessibility for a single lead hhRz therapeutic (725GUC↓), designed against human rod rhodopsin mRNA (hRHO), for patients with hRHO mutations that cause autosomal dominant retinitis pigmentosa.

Methods

A total of 199 in silico coding region mutations (missense, nonsense, insert, deletion, indel) were made in hRHO mRNA based on Human Gene Mutation Database and Database of Single Nucleotide Polymorphisms. Each mRNA was folded with MFold, SFold, and OligoWalk algorithms and subjected to a bioinformatics model called multiparameter prediction of RNA accessibility. Predicted accessibility of each mutant over both a broad local region and the explicit lead ribozyme annealing site were compared quantitatively to wild-type hRHO mRNA.

Results

Accessibility of the 725GUC↓ site is sensitive to some mutations. For single nucleotide missense mutations, proximity of the mutation to the hhRz annealing site increases the impact on predicted accessibility, but some distant mutations also influence accessibility.

Conclusions

A mutation-independent strategy appears viable in this specific context but certain mutations could significantly influence ribozyme or RNAi efficacy through impact on accessibility at the target annealing site/region. This possibility must be considered in applications of this gene therapy strategy.

Rational design of inducible CRISPR guide RNAs for de novo assembly of transcriptional programs

CRISPR-based transcription regulators (CRISPR-TRs) have transformed the current synthetic biology landscape by allowing specific activation or repression of any target gene. Here we report a modular and versatile framework enabling rapid implementation of inducible CRISPR-TRs in mammalian cells. This strategy relies on the design of a spacer-blocking hairpin (SBH) structure at the 5' end of the single guide RNA (sgRNA), which abrogates the function of CRISPR-transcriptional activators. By replacing the SBH loop with ligand-controlled RNA-cleaving units, we demonstrate conditional activation of quiescent sgRNAs programmed to respond to genetically encoded or externally delivered triggers. We use this system to couple multiple synthetic and endogenous target genes with specific inducers, and assemble gene regulatory modules demonstrating parallel and orthogonal transcriptional programs. We anticipate that this 'plug and play' approach will be a valuable addition to the synthetic biology toolkit, facilitating the understanding of natural gene circuits and the design of cell-based therapeutic strategies.

A cellular high-throughput screening approach for therapeutic trans-cleaving ribozymes and RNAi against arbitrary mRNA disease targets

Major bottlenecks in development of therapeutic post transcriptional gene silencing (PTGS) agents (e.g. ribozymes, RNA interference, antisense) include the challenge of mapping rare accessible regions of the mRNA target that are open for annealing and cleavage, testing and optimization of agents in human cells to identify lead agents, testing for cellular toxicity, and preclinical evaluation in appropriate animal models of disease. Methods for rapid and reliable cellular testing of PTGS agents are needed to identify potent lead candidates for optimization. Our goal was to develop a means of rapid assessment of many RNA agents to identify a lead candidate for a given mRNA associated with a disease state. We developed a rapid human cell-based screening platform to test efficacy of hammerhead ribozyme (hhRz) or RNA interference (RNAi) constructs, using a model retinal degeneration target, human rod opsin (RHO) mRNA. The focus is on RNA Drug Discovery for diverse retinal degeneration targets. To validate the approach, candidate hhRzs were tested against NUH↓ cleavage sites (N = G,C,A,U; H = C,A,U) within the target mRNA of secreted alkaline phosphatase (SEAP), a model gene expression reporter, based upon in silico predictions of mRNA accessibility. HhRzs were embedded in a larger stable adenoviral VAI RNA scaffold for high cellular expression, cytoplasmic trafficking, and stability. Most hhRz expression plasmids exerted statistically significant knockdown of extracellular SEAP enzyme activity when readily assayed by a fluorescence enzyme assay intended for high throughput screening (HTS). Kinetics of PTGS knockdown of cellular targets is measureable in live cells with the SEAP reporter. The validated SEAP HTS platform was transposed to identify lead PTGS agents against a model hereditary retinal degeneration target, RHO mRNA. Two approaches were used to physically fuse the model retinal gene target mRNA to the SEAP reporter mRNA. The most expedient way to evaluate a large set of potential VAI-hhRz expression plasmids against diverse NUH↓ cleavage sites uses cultured human HEK293S cells stably expressing a dicistronic Target-IRES-SEAP target fusion mRNA. Broad utility of this rational RNA drug discovery approach is feasible for any ophthalmological disease-relevant mRNA targets and any disease mRNA targets in general. The approach will permit rank ordering of PTGS agents based on potency to identify a lead therapeutic compound for further optimization.

Variables and strategies in development of therapeutic post-transcriptional gene silencing agents

Post-transcriptional gene silencing (PTGS) agents such as ribozymes, RNAi and antisense have substantial potential for gene therapy of human retinal degenerations. These technologies are used to knockdown a specific target RNA and its cognate protein. The disease target mRNA may be a mutant mRNA causing an autosomal dominant retinal degeneration or a normal mRNA that is overexpressed in certain diseases. All PTGS technologies depend upon the initial critical annealing event of the PTGS ligand to the target RNA. This event requires that the PTGS agent is in a conformational state able to support hybridization and that the target have a large and accessible single-stranded platform to allow rapid annealing, although such platforms are rare. We address the biocomplexity that currently limits PTGS therapeutic development with particular emphasis on biophysical variables that influence cellular performance. We address the different strategies that can be used for development of PTGS agents intended for therapeutic translation. These issues apply generally to the development of PTGS agents for retinal, ocular, or systemic diseases. This review should assist the interested reader to rapidly appreciate critical variables in PTGS development and facilitate initial design and testing of such agents against new targets of clinical interest.

Molecular imaging of MDM2 messenger RNA with 99mTc-labeled antisense oligonucleotides in experimental human breast cancer xenografts

The mouse double-minute 2 (MDM2) oncogene, amplified or overexpressed in many human cancers, has been suggested to be a novel target for cancer therapy. Visualization of MDM2 expression using radionuclide targeting can provide important diagnostic information in malignant tumors. The overall aim of this study was to evaluate whether liposome-coated (99m)Tc-radiolabeled antisense oligonucleotides (ASONs) targeting MDM2 messenger RNA (mRNA) could be used for imaging of MDM2 expression in vivo.

METHODS

ASON and mismatch oligonucleotide (ASONM) targeted to MDM2 mRNA were synthesized and radiolabeled with (99m)Tc using the bifunctional chelator hydrazinonicotinamide (HYNIC). Then the radiolabeled probe was characterized in vitro. Reverse-transcriptase polymerase chain reaction and Western blotting were performed to assay the MDM2 mRNA and protein level after MCF-7 (human breast adenocarcinoma cell line) cells were incubated with liposome-coated (99m)Tc-HYNIC-ASON/ASONM at various concentrations for 24 h. Following established MCF-7-bearing nude mice models, the biodistribution of liposome-coated (99m)Tc-HYNIC-ASON/ASONM was investigated, and in vivo tumor scintigraphic images were acquired for these animal models. All data were analyzed by statistical software.

RESULTS

The labeling efficiencies of (99m)Tc-HYNIC-ASON and (99m)Tc-HYNIC-ASONM were 57.2% ± 2.98% and 56.3% ± 3.01%, respectively; the specific activities were 1,450 ± 60.2 and 1,370 ± 55.4 kBq/μg, respectively; and the radiochemical purity for both was above 95%. The radiolabeled ASON still had the ability to hybridize to the sense oligonucleotide. In comparison with the mismatch probe, the antisense probe had an obvious effect on the levels of MDM2 mRNA and protein. The levels of mRNA and protein were significantly different for different concentration antisense probe groups (P < 0.01). The excretion of the antisense and mismatch probe was mainly through the liver and kidneys. The tumor radioactivity uptake of the antisense probe was significantly higher than that of the mismatch probe (P < 0.01). At 1-10 h after injection of the antisense probe, the tumor could be clearly visualized, whereas the tumors were not imaged at any time after injection of the mismatch probe.

CONCLUSION

The accumulation of liposome-coated (99m)Tc-labeled ASONs in breast cancer tissue is specific. The antisense imaging with liposome-coated (99m)Tc-HYNIC-ASON may be a promising method for visualization of MDM2 expression in human breast cancer.

Antisense gapmers selectively suppress individual oncogenic p73 splice isoforms and inhibit tumor growth in vivo

BACKGROUND

Differential mRNA splicing and alternative promoter usage of the TP73 gene results in the expression of multiple NH2-truncated isoforms that act as oncogenes. Abundant levels of these p73 variants in a variety of human cancers correlated with adverse clinical prognosis and response failure to conventional therapies, underscoring their relevance as marker for disease severity and target for cancer intervention. With respect to an equally important role for amino-truncated p73 splice forms (DeltaTAp73) and DeltaNp73 (summarized as DNp73) in the tumorigenic process, we designed locked nucleic acid (LNA) antisense oligonucleotide (ASO) gapmers against individual species that were complementary to DeltaEx2 and DeltaEx2/3 splice junctions and a region in exon 3B unique for DeltaN' and DeltaN.

RESULTS

Treatment of cancer cells with these ASOs resulted in a strong and specific reduction of tumorigenic p73 transcripts and proteins, importantly, without abolishing the wild-type p73 tumor suppressor form as observed with p73-shRNA. The specific antisense oligonucleotides rescued cells from apoptosis inhibition due to overexpression of their corresponding amino-truncated p73 isoform and decreased tumor cell proliferation. Furthermore, ASO-116 against DeltaEx2/3 coupled to magnetic nanobead polyethyleneimine (MNB/PEI) carriers significantly inhibited malignant melanoma growth, which correlated with a shift in the balance between endogenous TAp73 and DeltaEx2/3 towards apoptotic full-length p73.

CONCLUSION

Our study demonstrates the successful development of LNA-ASOs that selectively differentiate between the closely related p73 oncoproteins, and provide new tools to further delineate their biological properties in different human malignancies and for therapeutic cancer targeting.

Antisense applications for biological control

Although Nature's antisense approaches are clearly impressive, this Perspectives article focuses on the experimental uses of antisense reagents (ASRs) for control of biological processes. ASRs comprise antisense oligonucleotides (ASOs), and their catalytically active counterparts ribozymes and DNAzymes, as well as small interfering RNAs (siRNAs). ASOs and ribozymes/DNAzymes target RNA molecules on the basis of Watson-Crick base pairing in sequence-specific manner. ASOs generally result in destruction of the target RNA by RNase-H mediated mechanisms, although they may also sterically block translation, also resulting in loss of protein production. Ribozymes and DNAzymes cleave target RNAs after base pairing via their antisense flanking arms. siRNAs, which contain both sense and antisense regions from a target RNA, can mediate target RNA destruction via RNAi and the RISC, although they can also function at the transcriptional level. A considerable number of ASRs (mostly ASOs) have progressed into clinical trials, although most have relatively long histories in Phase I/II settings. Clinical trial results are surprisingly difficult to find, although few ASRs appear to have yet established efficacy in Phase III levels. Evolution of ASRs has included: (a) Modifications to ASOs to render them nuclease resistant, with analogous modifications to siRNAs being developed; and (b) Development of strategies to select optimal sites for targeting. Perhaps the biggest barrier to effective therapies with ASRs is the "Delivery Problem." Various liposomal vehicles have been used for systemic delivery with some success, and recent modifications appear to enhance systemic delivery, at least to liver. Various nanoparticle formulations are now being developed which may also enhance delivery. Going forward, topical applications of ASRs would seem to have the best chances for success. In summary, modifications to ASRs to enhance stability, improve targeting, and incremental improvements in delivery vehicles continue to make ASRs attractive as molecular therapeutics, but their advance toward the bedside has been agonizingly slow.

Development of lead hammerhead ribozyme candidates against human rod opsin mRNA for retinal degeneration therapy

To identify lead candidate allele-independent hammerhead ribozymes (hhRz) for the treatment of autosomal dominant mutations in the human rod opsin (RHO) gene, we tested a series of hhRzs for potential to significantly knockdown human RHO gene expression in a human cell expression system. Multiple computational criteria were used to select target mRNA regions likely to be single stranded and accessible to hhRz annealing and cleavage. Target regions are tested for accessibility in a human cell culture expression system where the hhRz RNA and target mRNA and protein are coexpressed. The hhRz RNA is embedded in an adenoviral VAI RNA chimeric RNA of established structure and properties which are critical to the experimental paradigm. The chimeric hhRz-VAI RNA is abundantly transcribed so that the hhRzs are expected to be in great excess over substrate mRNA. HhRz-VAI traffics predominantly to the cytoplasm to colocalize with the RHO mRNA target. Colocalization is essential for second-order annealing reactions. The VAI chimera protects the hhRz RNA from degradation and provides for a long half-life. With cell lines chosen for high transfection efficiency and a molar excess of hhRz plasmid over target plasmid, the conditions of this experimental paradigm are specifically designed to evaluate for regions of accessibility of the target mRNA in cellulo. Western analysis was used to measure the impact of hhRz expression on RHO protein expression. Three lead candidate hhRz designs were identified that significantly knockdown target protein expression relative to control (p<0.05). Successful lead candidates (hhRz CUC [see in text downward arrow] 266, hhRz CUC [see in text downward arrow] 1411, hhRz AUA [see in text downward arrow] 1414) targeted regions of human RHO mRNA that were predicted to be accessible by a bioinformatics approach, whereas regions predicted to be inaccessible supported no knockdown. The maximum opsin protein level knockdown is approximately 30% over a 48h paradigm of testing. These results validate a rigorous computational bioinformatics approach to detect accessible regions of target mRNAs in cellulo. The opsin knockdown effect could prove to be clinically significant when integrated over longer periods in photoreceptors. Further optimization and animal testing are the next step in this stratified RNA drug discovery program. A recently developed novel and efficient screening assay based upon expression of a dicistronic mRNA (RHO-IRES-SEAP) containing both RHO and reporter (SEAP) cDNAs was used to compare the hhRz 266 lead candidate to another agent (Rz525/hhRz485) already known to partially rescue retinal degeneration in a rodent model. Lead hhRz 266 CUC [see in text downward arrow] proved more efficacious than Rz525/hhRz485 which infers viability for rescue of retinal degeneration in appropriate preclinical models of disease.

Ribozyme cleavage of Plasmodium falciparum gyrase A gene transcript affects the parasite growth

Deoxyribonucleic acid (DNA) gyrase is an important enzyme that facilitates the movement of replication and transcription complexes through DNA by creating negative supercoils ahead of the complex. Its presence in Plasmodium falciparum is now established and considered a good drug target since it is absent in the human host. The sequence of P. falciparum gyrase A subunit was analyzed for its messenger ribonucleic acid (mRNA) folding as well as target accessibility for ribozymes. The four GUC triplet sites identified at 334, 491, 1907, and 2642 nucleotide positions of the Gyrase A mRNA were also accessible to oligos by RNase H assay. Site GUC491 was optimally accessible followed by GUC1907, GUC334, and GUC2642 sites. Ribozymes were produced against all these sites and tested for their in vitro transcript cleavage potentials where RZ491 showed the maximum cleavage rate. Therefore, this ribozyme (RZ491) was chemically synthesized albeit with modifications so as to make it resistant against ribonuclease attack. The modified ribozyme retained its cleavage potential and was able to inhibit the P. falciparum parasite growth up to 49.54% and 74.77% at 20 and 30 microM ribozyme concentrations, respectively, as compared to the untreated culture. However, up to 20% and 24.32% parasite growth inhibition was observed at the same ribozyme concentrations of 20 and 30 microM when compared with control ribozyme-treated cultures. This ribozyme as well as other targets identified here can be investigated further to develop the effective chemotherapeutic agents against malaria.

Bottlenecks in development of retinal therapeutic post-transcriptional gene silencing agents

Development of post-transcriptional gene silencing (PTGS) agents for therapeutic purposes is an immense challenge in modern biology. Established technologies used to knockdown a specific target RNA and its cognate protein: antisense, ribozyme, RNAi, all conditionally depend upon an initial, critical annealing event of the PTGS ligand to a target RNA. In this review we address the nature of the bottlenecks, emphasizing the biocomplexity of target RNA structure, that currently limit PTGS therapeutic development. We briefly review existing and emerging technologies designed to release these constraints to realize the potential of PTGS agents in gene based therapies.

Hitting bacteria at the heart of the central dogma: sequence-specific inhibition

An important objective in developing new drugs is the achievement of high specificity to maximize curing effect and minimize side-effects, and high specificity is an integral part of the antisense approach. The antisense techniques have been extensively developed from the application of simple long, regular antisense RNA (asRNA) molecules to highly modified versions conferring resistance to nucleases, stability of hybrid formation and other beneficial characteristics, though still preserving the specificity of the original nucleic acids. These new and improved second- and third-generation antisense molecules have shown promising results. The first antisense drug has been approved and more are in clinical trials. However, these antisense drugs are mainly designed for the treatment of different human cancers and other human diseases. Applying antisense gene silencing and exploiting RNA interference (RNAi) are highly developed approaches in many eukaryotic systems. But in bacteria RNAi is absent, and gene silencing by antisense compounds is not nearly as well developed, despite its great potential and the intriguing possibility of applying antisense molecules in the fight against multiresistant bacteria. Recent breakthrough and current status on the development of antisense gene silencing in bacteria including especially phosphorothioate oligonucleotides (PS-ODNs), peptide nucleic acids (PNAs) and phosphorodiamidate morpholino oligomers (PMOs) will be presented in this review.

Identification of sequence motifs significantly associated with antisense activity

Background

Predicting the suppression activity of antisense oligonucleotide sequences is the main goal of the rational design of nucleic acids. To create an effective predictive model, it is important to know what properties of an oligonucleotide sequence associate significantly with antisense activity. Also, for the model to be efficient we must know what properties do not associate significantly and can be omitted from the model. This paper will discuss the results of a randomization procedure to find motifs that associate significantly with either high or low antisense suppression activity, analysis of their properties, as well as the results of support vector machine modelling using these significant motifs as features.

Results

We discovered 155 motifs that associate significantly with high antisense suppression activity and 202 motifs that associate significantly with low suppression activity. The motifs range in length from 2 to 5 bases, contain several motifs that have been previously discovered as associating highly with antisense activity, and have thermodynamic properties consistent with previous work associating thermodynamic properties of sequences with their antisense activity. Statistical analysis revealed no correlation between a motif's position within an antisense sequence and that sequences antisense activity. Also, many significant motifs existed as subwords of other significant motifs. Support vector regression experiments indicated that the feature set of significant motifs increased correlation compared to all possible motifs as well as several subsets of the significant motifs.

Conclusion

The thermodynamic properties of the significantly associated motifs support existing data correlating the thermodynamic properties of the antisense oligonucleotide with antisense efficiency, reinforcing our hypothesis that antisense suppression is strongly associated with probe/target thermodynamics, as there are no enzymatic mediators to speed the process along like the RNA Induced Silencing Complex (RISC) in RNAi. The independence of motif position and antisense activity also allows us to bypass consideration of this feature in the modelling process, promoting model efficiency and reducing the chance of overfitting when predicting antisense activity. The increase in SVR correlation with significant features compared to nearest-neighbour features indicates that thermodynamics alone is likely not the only factor in determining antisense efficiency.

Nucleic acid therapeutics for hematologic malignancies--theoretical considerations

Our work is motivated by the belief that RNA targeted gene silencing agents can be developed into effective drugs for treating hematologic malignancies. In many experimental systems, antisense nucleic acids of various composition, including antisense oligodeoxynucleotides (AS ODNs) and short interfering RNA (siRNA), have been shown to perturb gene expression in a sequence specific manner. Nevertheless, our clinical experience, and those of others, have led us to conclude that the antisense nucleic acids (ASNAs) we, and others, employ need to be optimized with regard to intracellular delivery, targeting, chemical composition, and efficiency of mRNA destruction. We have hypothesized that addressing these critical issues will lead to the development of practical and effective nucleic acid drugs. An overview of our recent work which seeks to addresses these core issues is contained within this review.

A molecular beacon-based real time NASBA assay for detection of Listeria monocytogenes in food products: role of target mRNA secondary structure on NASBA design

A molecular beacon-based real-time NASBA (QNASBA) assay for detection and identification of Listeria monocytogenes has been developed. A correlation between targeting highly accessible mRNA sequences and QNASBA efficiency and sensitivity was demonstrated. The assay targets a sequence from the mRNA transcript of the hly gene which is specific for this bacterium; and includes an internal amplification control to disclose failure of the reaction. It was fully selective and consistently detected down to 100 target molecules and 40 L. monocytogenes exponentially growing cells per reaction. In addition, it was capable of accurate quantification of target RNA molecules independently of the presence of DNA in the sample. In combination with a short RNase treatment prior to nucleic acids extraction our QNASBA specifically detected viable L. monocytogenes cells. It was successfully applied to rapid detection of this pathogen in meat and salmon products, and is therefore a useful tool for the study of L. monocytogenes in food samples. We finally discuss considerations of target secondary structure with regard to development of NASBA assays.

RNA targeted therapeutics for hematologic malignancies

In a variety of experimental systems, antisense nucleic acids (ASNA) of various composition, including antisense oligodeoxynucleotides (ODN) and siRNA, have been shown to have the ability to variably perturb gene expression in a sequence specific manner. Pilot clinical studies from our group, and others, have demonstrated that gene silencing is a therapeutic strategy that is starting to make a real contribution to the treatment of various diseases. The development of this field, with specific reference to hematologic malignancies, is reviewed very briefly below.

In silico selection of active siRNA

RNA interference (RNAi) mediated by short interfering RNA (siRNA) represents a powerful reverse genetics tool, and siRNAs are attracting increasing interest as potential therapeutics. Progress in the design of functional siRNAs has significantly contributed to our understanding of cellular RNA silencing pathways and vice versa. Parameters related to RNA sequence and structure have a strong impact on various steps along the silencing pathway and build the backbone of many siRNA design tools. Recent work has demonstrated that there is more to siRNA design than enhancement of gene silencing activity. Current efforts aim at avoidance of off-target effects, the understanding of siRNA-triggered immunostimulation, and evasion of interference with cellular regulatory RNA. Molecular features determining the biological functions of siRNA and their meaning for computational (in silico) selection are the focus of this review.

Integrated siRNA design based on surveying of features associated with high RNAi effectiveness

Background

Short interfering RNAs have allowed the development of clean and easily regulated methods for disruption of gene expression. However, while these methods continue to grow in popularity, designing effective siRNA experiments can be challenging. The various existing siRNA design guidelines suffer from two problems: they differ considerably from each other, and they produce high levels of false-positive predictions when tested on data of independent origins.

Results

Using a distinctly large set of siRNA efficacy data assembled from a vast diversity of origins (the siRecords data, containing records of 3,277 siRNA experiments targeting 1,518 genes, derived from 1,417 independent studies), we conducted extensive analyses of all known features that have been implicated in increasing RNAi effectiveness. A number of features having positive impacts on siRNA efficacy were identified. By performing quantitative analyses on cooperative effects among these features, then applying a disjunctive rule merging (DRM) algorithm, we developed a bundle of siRNA design rule sets with the false positive problem well curbed. A comparison with 15 online siRNA design tools indicated that some of the rule sets we developed surpassed all of these design tools commonly used in siRNA design practice in positive predictive values (PPVs).

Conclusion

The availability of the large and diverse siRNA dataset from siRecords and the approach we describe in this report have allowed the development of highly effective and generally applicable siRNA design rule sets. Together with ever improving RNAi lab techniques, these design rule sets are expected to make siRNAs a more useful tool for molecular genetics, functional genomics, and drug discovery studies.

Intravesical antisense therapy for cystitis using TAT-peptide nucleic acid conjugates

The present study investigated the potential of intravesical instillation for localized reduction of NGF (nerve growth factor) expression in the urinary bladder. Overexpression of NGF has been linked to the pathogenesis of interstitial cystitis (IC). A minimum free energy algorithm was used to predict suitable regions in mRNA of rat betaNGF, which can be targeted for an antisense approach. The candidate antisense oligos were evaluated for their ability to reduce NGF expression in vitro by cotransfecting HEK293 cells with NGF cDNA. A single oligonucleotide ODN sequence was chosen for testing in an acute cystitis model in rat induced by cyclophosphamide. Overexpression of NGF is known to mediate inflammation of bladder in this model. For improved stability, antisense ODN was replaced with antisense peptide nucleic acid (PNA) and its penetration into bladder was facilitated by tethering TAT peptide sequence. Rat bladders were instilled with either antisense or its scrambled control prior to cystitis induction. Cystometrograms performed on rats under urethane anaesthesia exhibited bladder contraction frequency that was significantly decreased in the antisense treated rats than rats treated with the control. NGF immunoreactivity was also decreased in the urothelium of the antisense treated bladders. Our findings demonstrate the feasibility of using TAT-PNA conjugates for intravesical antisense therapy.

Application of hammerhead ribozymes in filamentous fungi

Metabolic engineering in filamentous fungi is a emerging field of research as many fungi produce high value primary and secondary metabolites. Ribozyme technology can be used as a tool for metabolic engineering to influence metabolic pathways and to knock down the expression of specific genes of interest. Hammerhead ribozymes can target virtually any mRNA sequence of choice and prevent gene expression on the post-transcriptional level. They are thus a versatile tool for timed and spatial elimination of unwanted gene products. As current research has only investigated the application of ribozymes in bacteria, yeast and mammalian cells, we decided to carry out a study on whether this technology can also function with filamentous fungi. We employed a sensitive, quantitative reporter-based model system as a proof of concept, using the Escherichia coli beta-glucuronidase transcript (uidA) as the target mRNA and Aspergillus giganteus as the host. This system was used to validate the in vivo activities of seven different hammerhead ribozymes, which were selected by in silico analysis of the uidA mRNA. All ribozymes tested were able to reduce the reporter activity up to a maximum of 100%, demonstrating that ribozyme technology is indeed a useful tool in fungal metabolic engineering.

Oligonucleotide-Based Therapeutic Options against Hepatitis C Virus Infection

The hepatitis C virus (HCV) is the cause of a silent pandemic that, due to the chronic nature of the disease and the absence of curative therapy, continues to claim an ever-increasing number of lives. Current antiviral regimens have proven largely unsatisfactory for patients with HCV drug-resistant genotypes. It is therefore important to explore alternative therapeutic stratagems whose mode of action allows them to bypass viral resistance. Antisense oligonucleotides, ribozymes, small interfering RNAs, aptamers and deoxyribozymes constitute classes of oligonucleotide-based compounds designed to target highly conserved or functionally crucial regions contained within the HCV genome. The therapeutic expectation for such compounds is the elimination of HCV from infected individuals. Progress in oligonucleotide-based HCV antivirals towards clinical application depends on development of nucleotide designs that bolster efficacy while minimizing toxicity, improvement in liver-targeting delivery systems, and refinement of small-animal models for preclinical testing.

Selection of antisense oligonucleotides based on multiple predicted target mRNA structures

Background

Local structures of target mRNAs play a significant role in determining the efficacies of antisense oligonucleotides (ODNs), but some structure-based target site selection methods are limited by uncertainties in RNA secondary structure prediction. If all the predicted structures of a given mRNA within a certain energy limit could be used simultaneously, target site selection would obviously be improved in both reliability and efficiency. In this study, some key problems in ODN target selection on the basis of multiple predicted target mRNA structures are systematically discussed.

Results

Two methods were considered for merging topologically different RNA structures into integrated representations. Several parameters were derived to characterize local target site structures. Statistical analysis on a dataset with 448 ODNs against 28 different mRNAs revealed 9 features quantitatively associated with efficacy. Features of structural consistency seemed to be more highly correlated with efficacy than indices of the proportion of bases in single-stranded or double-stranded regions. The local structures of the target site 5' and 3' termini were also shown to be important in target selection. Neural network efficacy predictors using these features, defined on integrated structures as inputs, performed well in "minus-one-gene" cross-validation experiments.

Conclusion

Topologically different target mRNA structures can be merged into integrated representations and then used in computer-aided ODN design. The results of this paper imply that some features characterizing multiple predicted target site structures can be used to predict ODN efficacy.

Cleavage of intracellular hepatitis C RNA in the virus core protein coding region by deoxyribozymes

Hepatitis C virus (HCV) infection represents an important global health problem. Current antiviral therapeutics for HCV have proven inadequate in stemming the disease process. A novel therapeutic strategy involves the use of deoxyribozymes, also known as DNA enzymes or DNAzymes. These catalytic DNA molecules, designed to target and cleave specific RNA sequences, have shown promise in in vitro experimental models for various diseases and may serve as an alternative or adjunct to current HCV drug therapy. We designed and tested several deoxyribozymes that can bind and cleave highly conserved RNA sequences encoding the HCV core protein in in vitro systems. One of these deoxyribozymes reduced the level of our HCV RNA target by 32% and 48% after 24 h of cell exposure when tested in human hepatoma and epithelial cell lines, respectively. As this deoxyribozyme showed significant cleavage activity against HCV core protein target RNA in human cells, it may have potential as a therapeutic candidate for clinical trial in HCV infected patients.

Selecting effective siRNAs based on guide RNA structure

In RNA interference, guide RNAs direct RNA-induced silencing complexes to mRNA targets, mediating cleavage and ultimately leading to gene silencing. We have observed that unstructured guide strands, which either completely lack complementary bases or in which internal base pairing is thermodynamically unlikely, confer strongest silencing, whereas structures with base-paired ends are inactive. Thus, the structure of the guide strand represents a major determinant of small interfering RNA activity. Here we describe a detailed computational protocol for identification of unstructured guide strands for a given mRNA target sequence. Sequentially, all guide sequences with target complementarity are simulated, their corresponding structures are folded and unstructured guide strands are selected and rated according to thermodynamic parameters. Although this procedure is new and remains to be validated by the community, it allows reliable identification of highly active siRNAs that can be used for functional target validation or drug development.

Technical improvements in the computational target search for antisense oligonucleotides

A number of theoretical and experimental approaches to design biologically active antisense oligonucleotides (AS-ON) have proven their usefulness. This includes systematic computational strategies that are based on the understanding of antisense mechanisms. Here, we investigate in detail the relationship between computational parameters of the local target search for the theoretical design of AS-ON and the hit rate, that is, the biologic efficacy of AS-ON in cell culture. The computational design of AS-ON studied in this work is based on an established algorithm to predict structurally favorable local target sites along a given target RNA against which AS-ON are directed. Briefly, a sequence segment of a certain length (window) is used to predict a group of lowest-energy RNA secondary structures. Subsequently, this window is shifted along the target sequence by a certain step width. To date, those technical parameters of the systematic structural target analysis have been chosen arbitrarily. Here, we investigate their role for the successful design of AS-ON and suggest an optimized computer-based protocol for the selection of favorable local target sequences and, hence, an improved design of active AS-ON. Further, this study provides systematic insights into the structure- function relationship of AS-ON.

"Parallel" and "antiparallel tail-clamps" increase the efficiency of triplex formation with structured DNA and RNA targets

Sequence-specific triple-helix structures can be formed by parallel and antiparallel DNA clamps interacting with single-stranded DNA or RNA targets. Single-stranded nucleic acid molecules are known to adopt secondary structures that might interfere with intermolecular interactions. We demonstrate the correlation between a secondary structure involving the target--a stable stem predicted by in silico folding and experimentally confirmed by thermal stability and competition analyses--and an inhibitory effect on triplex formation. We overcame structural impediments by designing a new type of clamp: "tail-clamps". A combination of gel-shift, kinetic analysis, UV thermal melting and thermodynamic techniques was used to demonstrate that tail-clamps efficiently form triple helices with a structured target sequence. The performance of parallel and antiparallel tail-clamps was compared: antiparallel tail-clamps had higher binding efficiencies than parallel tail-clamps both with structured DNA and RNA targets. In addition, the reported triplex-stabilizing property of 8-aminopurine residues was confirmed for tail-clamps. Finally, we discuss the possible use of this improved triplex technology as a new tool for applications in molecular biology.

Computational identification of antisense oligonucleotides that rapidly hybridize to RNA

The ability of a computational model to determine the relative rate of hybridization between anti-sense oligonucleotides and RNA was tested using HIV-1 tat mRNA. The model, which was based on the assumptions that hybridization is a second-order reaction and that early in the hybridization reaction the concentrations of intermediates are approximately constant (steady-state), allows calculation of a rate factor that is proportional to the reaction constant. Formation of oligodeoxynucleotide (ODN)-RNA hybrid, detected by RNase H-dependent cleavage, increased nearly linearly during an initial incubation period, consistent with the steady-state approximation. The initial hybridization rate increased linearly with substrate RNA concentration and with ODN concentration, indicating a second-order reaction. The logarithm of the second-order reaction constant, determined from the initial rate for hybridization between tat mRNA and 16 ODNs targeted to various sites, was linearly related to the logarithm of the calculated rate factor (r = 0.83, p < 0.001). Thus, the rate factor can be used to identify rapidly hybridizing antisense sequences using target nucleotide sequence information.

Local RNA target structure influences siRNA efficacy: a systematic global analysis

The efficiency with which small interfering RNAs (siRNAs) down-regulate specific gene expression in living cells is variable and a number of sequence-governed, biochemical parameters of the siRNA duplex have been proposed for the design of an efficient siRNA. Some of these parameters have been clearly identified to influence the assembly of the RNA-induced silencing complex (RISC), or to favour the sequence preferences of the RISC endonuclease. For other parameters, it is difficult to ascertain whether the influence is a determinant of the siRNA per se, or a determinant of the target RNA, especially its local structural characteristics. In order to gain an insight into the effects of local target structure on the biological activity of siRNA, we have used large sets of siRNAs directed against local targets of the mRNAs of ICAM-1 and survivin. Target structures were classified as accessible or inaccessible using an original, iterative computational approach and by experimental RNase H mapping. The effectiveness of siRNA was characterized by measuring the IC50 values in cell culture and the maximal extent of target suppression. Mean IC50 values were tenfold lower for accessible local target sites, with respect to inaccessible ones. Mean maximal target suppression was improved. These data illustrate that local target structure does, indeed, influence the activity of siRNA. We suggest that local target screening can significantly improve the hit rate in the design of biologically active siRNAs.

Secondary structure in the target as a confounding factor in synthetic oligomer microarray design

Background

Secondary structure in the target is a property not usually considered in software applications for design of optimal custom oligonucleotide probes. It is frequently assumed that eliminating self-complementarity, or screening for secondary structure in the probe, is sufficient to avoid interference with hybridization by stable secondary structures in the probe binding site. Prediction and thermodynamic analysis of secondary structure formation in a genome-wide set of transcripts from Brucella suis 1330 demonstrates that the properties of the target molecule have the potential to strongly influence the rate and extent of hybridization between transcript and tethered oligonucleotide probe in a microarray experiment.

Results

Despite the relatively high hybridization temperatures and 1M monovalent salt imposed in the modeling process to approximate hybridization conditions used in the laboratory, we find that parts of the target molecules are likely to be inaccessible to intermolecular hybridization due to the formation of stable intramolecular secondary structure. For example, at 65°C, 28 ± 7% of the average cDNA target sequence is predicted to be inaccessible to hybridization. We also analyzed the specific binding sites of a set of 70mer probes previously designed for Brucella using a freely available oligo design software package. 21 ± 13% of the nucleotides in each probe binding site are within a double-stranded structure in over half of the folds predicted for the cDNA target at 65°C. The intramolecular structures formed are more stable and extensive when an RNA target is modeled rather than cDNA. When random shearing of the target is modeled for fragments of 200, 100 and 50 nt, an overall destabilization of secondary structure is predicted, but shearing does not eliminate secondary structure.

Conclusion

Secondary structure in the target is pervasive, and a significant fraction of the target is found in double stranded conformations even at high temperature. Stable structure in the target has the potential to interfere with hybridization and should be a factor in interpretation of microarray results, as well as an explicit criterion in array design. Inclusion of this property in an oligonucleotide design procedure would change the definition of an optimal oligonucleotide significantly.

Selection of optimal antisense accessible sites of survivin and its application in treatment of gastric cancer

AIM: To select the optimal antisense accessible sites of survivin, a highly expressed gene in tumor tissues, in order to explore a novel approach to improve biological therapy of gastric cancer.

METHODS: The 20 mer random oligonucleotide library was synthesized, hybridized with in vitro transcribed total survivin cRNA, then digested by RNase H. After primer extension and autoradiography, the antisense accessible sites (AAS) of survivin were selected. Then RNADraw software was used to analyze and choose the AAS with obvious stem-loop structures, according to which the complementary antisense oligonucleotides (AS-ODNs) were synthesized and transferred into survivin highly- expressing gastric cancer cell line MKN-45. Survivin expression was detected by RT-PCR and Western Blotting. Cellular growth activities were assayed by tetrazolium bromide (MTT) colorimetry. Cellular ultrastructure was observed by electronic microscopy, while apoptosis was detected by annexin V-FITC and propidium iodide staining flow cytometry.

RESULTS: Thirteen AAS of survivin were selected in vitro. Four AAS with stem-loop structures were chosen, locating at 207-226 bp, 187-206 bp, 126-145 bp and 44-63 bp of survivin cDNA respectively. When compared with non-tranfection controls, their corresponding AS-ODNs (AS-ODN₁, AS-ODN₂, AS-ODN₃ and AS-ODN₄) could reduce Survivin mRNA levels in MKN-45 cells by 54.3±1.1% (t = 6.12, P<0.01), 86.1±1.0% (t = 5.27, P<0.01), 32.2±1.3% (t = 7.34, P<0.01) and 56.2±0.9% (t = 6.45, P<0.01) respectively, while survivin protein levels were decreased by 42.2±2.5% (t = 6.26, P<0.01), 75.4±3.1% (t = 7.11, P<0.01), 28.3±2.0% (t = 6.04, P<0.01) and 45.8±1.2% (t = 6.38, P<0.01) respectively. After transfection with 600 nmol/L AS-ODN₁~AS-ODN₄ for 24 h, cell growth was inhibited by 28.12±1.54% (t = 7.62, P<0.01), 38.42±3.12% (t = 7.75, P<0.01), 21.46±2.63% (t = 5.94, P<0.01) and 32.12±1.77% (t = 6.17, P<0.01) respectively. Partial cancer cells presented the characteristic morphological changes of apoptosis, with apoptotic rates being 19.31±1.16% (t = 7.16, P<0.01), 29.24±1.94% (t = 8.15, P<0.01), 11.87±0.68% (t = 6.68, P<0.01) and 21.68±2.14% (t = 7.53, P<0.01) respectively.

CONCLUSION: The AAS of survivin could be effectively selected in vitro by random oligonucleotide library/RNase H cleavage method combined with computer software analysis, this has important reference values for further studying survivin-targeted therapy strategies for gastric cancer.

Downregulation of osteopontin and bone sialoprotein II is related to reduced colony formation and metastasis formation of MDA-MB-231 human breast cancer cells

Osteopontin (OPN), bone sialoprotein (BSPII), and osteonectin (ON) belong to a family of glycoproteins, which have been linked to cancer metastasis and progression. Here, we report on the selection of antisense oligonucleotides (ASOs), which are effective in reducing their protein levels. In human MDA-MB-231 breast cancer cells, the maximum inhibition of protein expression ranged from 84% (OPN) to 75% (BSPII) and 70% (ON). Erucylphospho-NNN-trimethylpropanolamine (ErPC3) was used as positive control and combination partner. Exposure to ErPC3 inhibited colony formation of MDA-MB-231 cells by 11% (10 microM), 45% (14 microM) and 78% (20 microM). The clonogenicity of breast cancer cells was reduced by 15%, 11%, 8% (5 microM), 39%, 19%, 14% (10 microM) and 46%, 39%, 21% (20 microM) in response to ASO-OPN-04, ASO-BSPII-06 and ASO-ON-03, respectively. Combination of ErPC3 with the ASOs caused additive combination effects. Pre-exposure to the ASOs, but not to the NSO, inhibited formation of osteolytic metastasis in three of four (ASO-OPN-04, P<0.03) and two of four (ASO-BSPII-06) nude rats, and reduced metastasis lesions significantly (T/C%=4.3 and 9.1, P=0.05, respectively). We conclude that downregulation of OPN and BSPII reduces colony formation of MDA-MB-231 cells and formation of osteolytic metastasis in nude rats.

Profiled support vector machines for antisense oligonucleotide efficacy prediction

BACKGROUND

This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises 315 AO molecules including 68 features each, inducing a problem well-suited to SVMs. The task of feature selection is crucial given the presence of noisy or redundant features, and the well-known problem of the curse of dimensionality. We propose a two-stage strategy to develop an optimal model: (1) feature selection using correlation analysis, mutual information, and SVM-based recursive feature elimination (SVM-RFE), and (2) AO prediction using standard and profiled SVM formulations. A profiled SVM gives different weights to different parts of the training data to focus the training on the most important regions.

RESULTS

In the first stage, the SVM-RFE technique was most efficient and robust in the presence of low number of samples and high input space dimension. This method yielded an optimal subset of 14 representative features, which were all related to energy and sequence motifs. The second stage evaluated the performance of the predictors (overall correlation coefficient between observed and predicted efficacy, r; mean error, ME; and root-mean-square-error, RMSE) using 8-fold and minus-one-RNA cross-validation methods. The profiled SVM produced the best results (r = 0.44, ME = 0.022, and RMSE= 0.278) and predicted high (>75% inhibition of gene expression) and low efficacy (<25%) AOs with a success rate of 83.3% and 82.9%, respectively, which is better than by previous approaches. A web server for AO prediction is available online at http://aosvm.cgb.ki.se/.

CONCLUSIONS

The SVM approach is well suited to the AO prediction problem, and yields a prediction accuracy superior to previous methods. The profiled SVM was found to perform better than the standard SVM, suggesting that it could lead to improvements in other prediction problems as well.

Antisense-mediated VEGF suppression in bladder and breast cancer cells

Angiogenesis plays a key role in tumor growth and metastasis. Vascular endothelial growth factor (VEGF) is one of the major angiogenic factors. In the study we have evaluated the efficiency of antisense oligodeoxynucleotides (AS-ODN) against VEGF selected from computational prediction of VEGF mRNA structure. Twenty-five different AS-ODN in two different tumor cell lines were investigated. Treatment of cell line EJ28 by VEGF723 resulted in a 83.5% suppression of VEGF protein when compared with control-ODN. Three further AS-ODN reduced VEGF protein more than 45% in comparison to control-ODN. This was caused by an antisense-specific downregulation of the VEGF transcript determined by real-time PCR. Furthermore, antisense-mediated inhibition of VEGF was associated by a reduced cell viability. In MCF-7 cells VEGF protein was inhibited more than 45% by two AS-ODN. In conclusion, we found that computational prediction of potential single strand mRNA motifs is a well suitable method to elect effective AS-ODN.

Effects of additional sequences directly downstream from the AUG on the expression of GFP gene

We have studied the expression of the green fluorescent protein (GFP) gene to gain more understanding of the effects of additional nucleotide triplets (codons) downstream from the initiation codon on the translation of the GFP mRNA in CHO and Cos1 cells. A leader sequence of six consecutive identical codons (GUG, CUC, AGU or UCA) was introduced into a humanized GFP (hm gfp) gene downstream from the AUG to produce four GFP gene variants. Northern blot and RT-PCR analysis indicated that mRNA transcription from the GFP gene was not significantly affected by any of the additional sequences. However, immunoblotting and FACS analysis revealed that AGU and UCA GFP variants produced GFP at a mean level per cell 3.5-fold higher than the other two GFP variants and the hm gfp gene. [35S]-Methionine labeling and immunoprecipitation demonstrate that GFP synthesis was very active in UCA variant transfected-cells, but not in GUG variant and hm gfp transfected-cells. Moreover, proteasome inhibitor MG-132 treatment indicated that the GFPs encoded by each of the GFP variants and the hm gfp were equally stable, and this together with the comparable mRNA levels observed for each construct suggested that the different steady-state GFP concentrations observed reflected different translation efficiencies of the various GFP genes. In addition, the CUC GFP variant, when transiently transfected into CHO or COS-1 cells, did not produce any GFP expressing cells (fully green cells), and the GUG variant produced GFP expressing cells less than 10%, while AGU and UCA GFP variants up to 30-35% in a time course study from 8 to 36 h posttransfection. Analysis of the potential secondary structure of the GFP variant mRNAs especially in the translation initiation region suggested that the secondary structure of the GFP mRNAs was unlikely to explain the different translation efficiencies of the GFP variants. The present findings indicate that a change of the initiation context of the GFP gene by addition of extra coding sequence can alter the translation efficiency of GFP mRNA, providing a means of more efficient expression of GFP in eukaryotic cells.

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.

Survival of motor neuron gene downregulation by RNAi: towards a cell culture model of spinal muscular atrophy

Gene silencing with double-stranded RNA (RNAi) has proved useful for gene function studies, and should be especially well suited to studying diseases resulting in embryonal lethality where transgenic animal models are difficult to generate. We are applying this approach to the autosomal recessive disease spinal muscular atrophy (SMA). SMA is caused by mutations in the survival of motor neuron gene (SMN). The SMN protein is ubiquitously expressed and plays a role in RNA processing and its reduction in SMA ultimately leads to motor neuron degeneration in the spinal cord. The reasons for this motor neuron selectivity, however, are still unclear. SMN is essential for the viability of most eukaryotic organisms and this has made the generation of animal models of SMA extremely difficult. Here we describe a different approach to study SMN function using RNAi to silence SMN expression in cells. We designed double-stranded small interfering RNA (siRNA) targeted against murine Smn and transfected the murine embryonal terato-carcinoma cell line P19. The siRNAs reduced both Smn RNA and protein levels in the P19 cells compared to controls. These results illustrate that double-stranded RNA can be an effective gene silencing approach even in a protein that is essential for survival and highly expressed, and it could therefore be a valuable tool to study SMN function.

Promoter choice affects the potency of HIV-1 specific RNA interference

RNA interference (RNAi) is mediated by small interfering (si) RNAs that target and degrade mRNA in a sequence-specific manner. Cellular expression of siRNA can be achieved by the use of expression cassettes driven by RNA polymerase III (pol III) promoters. Here, we demonstrate that a modified tRNA(met)-derived (MTD) promoter effectively drives the cellular expression of HIV-1-specific siRNA. We observed up to 56% greater inhibition of virus production when the MTD promoter was used to drive the expression of short hairpin (sh) RNA targeting the HIV-1 transactivator protein tat compared to cassettes containing other pol III promoters such as H1, U6+1 and U6+27. We conclude that the MTD promoter is ideally suited to drive intracellular expression of HIV-1 specific siRNA and may serve as an important component of future RNAi vector delivery systems.

Thermodynamic criteria for high hit rate antisense oligonucleotide design

Antisense oligonucleotides are used for therapeutic applications and in functional genomic studies. In practice, however, many of the oligonucleotides complementary to an mRNA have little or no antisense activity. Theoretical strategies to improve the 'hit rate' in antisense screens will reduce the cost of discovery and may lead to identification of antisense oligonucleotides with increased potency. Statistical analysis performed on data collected from more than 1000 experiments with phosphorothioate-modified oligonucleotides revealed that the oligo-probes, which form stable duplexes with RNA (DeltaG(o)37 < or = -30 kcal/mol) and have small self-interaction potential, are more frequently efficient than molecules that form less stable oligonucleotide-RNA hybrids or more stable self-structures. To achieve optimal statistical preference, the values for self-interaction should be (DeltaG(o)37) > or = -8 kcal/mol for inter-oligonucleotide pairing and (DeltaG(o)37) > or = -1.1 kcal/mol for intra-molecular pairing. Selection of oligonucleotides with these thermodynamic values in the analyzed experiments would have increased the 'hit rate' by as much as 6-fold.

The pain of antisense: in vivo application of antisense oligonucleotides for functional genomics in pain and analgesia

As the genomic revolution continues to evolve, there is an increasing demand for efficient and reliable tools for functional characterization of individual gene products. Antisense oligonucleotide-mediated knockdown has been used successfully as a functional genomics tool in animal models of pain and analgesia yet skepticism regarding the validity and utility of antisense technology remains. Contributing to this uncertainty are the lack of systematic studies exploring antisense oligonucleotide use in vivo and the many technical and methodological challenges intrinsic to the method. This article reviews the contributions of antisense oligonucleotide-based studies to the field of pain and analgesia and the general principles of antisense technology. A special emphasis is placed on technical issues surrounding the successful application of antisense oligonucleotides in vivo, including sequence selection, antisense oligonucleotide chemistry, DNA controls, route of administration, uptake, dose-dependence, time-course and adequate evaluation of knockdown.

Engineered catalytic RNA and DNA : new biochemical tools for drug discovery and design

Since the fundamental discovery that RNA catalyzes critical biological reactions, the conceptual and practical utility of nucleic acid catalysts as molecular therapeutic and diagnostic agents continually develops. RNA and DNA catalysts are particularly attractive tools for drug discovery and design due to their relative ease of synthesis and tractable rational design features. Such catalysts can intervene in cellular or viral gene expression by effectively destroying virtually any target RNA, repairing messenger RNAs derived from mutant genes, or directly disrupting target genes. Consequently, catalytic nucleic acids are apt tools for dissecting gene function and for effecting gene pharmacogenomic strategies. It is in this capacity that RNA and DNA catalysts have been most widely utilized to affect gene expression of medically relevant targets associated with various disease states, where a number of such catalysts are presently being evaluated in clinical trials. Additionally, biotechnological prospects for catalytic nucleic acids are seemingly unlimited. Controllable nucleic acid catalysts, termed allosteric ribozymes or deoxyribozymes, form the basis of effector or ligand-dependent molecular switches and sensors. Allosteric nucleic acid catalysts promise to be useful tools for detecting and scrutinizing the function of specified components of the metabolome, proteome, transcriptome, and genome. The remarkable versatility of nucleic acid catalysis is thus the fountainhead for wide-ranging applications of ribozymes and deoxyribozymes in biomedical and biotechnological research.

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.

Small interfering RNAs expressed from a Pol III promoter suppress the EWS/Fli-1 transcript in an Ewing sarcoma cell line

The EWS/Fli-1 fusion gene encodes an oncogenic fusion protein. The fusion is a product of the translocation t(11;22) (q24;q12), which is detected in 85% of Ewing sarcoma and primitive neuroectodermal tumor cells. Utilizing intracellularly expressed 21- to 23-nucleotide small interfering RNAs (siRNAs) targeting the EWS/Fli-1 fusion transcript in an Ewing sarcoma cell line, we achieved a greater than 80% reduction in the EWS/Fli-1 transcript. The reduction in transcript levels was accompanied by growth inhibition of an Ewing cell line. In addition to quantitating the reduction of the fusion transcript, we carefully monitored reduction of the endogenous EWS and Fli-1 mRNAs as well. One of the two siRNAs targeted to the fusion transcript also partially downregulated the Fli-1 mRNA, further potentiating the growth inhibition. These results highlight both the power of siRNAs and the potential side reactions that need to be carefully monitored. In addition, these results provide the first demonstration of expressed siRNAs downregulating an oncogenic fusion transcript. The results and observations from these studies should prove useful in targeting other fusion transcripts characteristic of sarcomas and erythroleukemias.

Modeling hybridization kinetics

Formation of complementary base pairs between nucleic acids over a short region (<or=15 nucleotides) is described by a kinetic model in which the intermediate state is assumed to be locally single stranded. The model enables calculation of a rate factor that is proportional to the rate constant for hybridization under steady-state reaction conditions. Rate factors calculated for various sites in acetylcholinesterase mRNA correlated with sites found previously to be experimentally accessible for hybridization to antisense oligonucleotides. Hybridization rate of longer antisense oligodeoxynucleotides was modeled by calculation of a maximal rate factor for all possible 15-nucleotide segments of a given antisense molecule. Maximal rate factor calculated for a set of antisense oligonucleotides correlated (r=0.95) with initial rate of hybridization reported previously. Two other models proposed for identifying accessible sites for hybridization were less predictive than the rate factor calculation.

A method for prediction of accessible sites on an mRNA sequence for target selection of hammerhead ribozymes

Hammerhead ribozymes are short RNA molecules endowed with endoribonucleolytic activity. Their use as molecular tools for specific inhibition of gene translation is affected by many factors including the target accessibility. A method for the prediction of accessible target sites for hammerhead ribozymes within a given RNA sequence is described. This method maps all putative NUH cleavage sites (N = A, C, G, U and H = A, C, U) and picks out short flanking regions as the binding domain for the corresponding ribozyme. The probabilistic level of unfolding, accessibility score (AS), is then calculated for each target region on the basis of a comparison of all folding structures obtained for the target RNA and arranged according to the Boltzmann's distribution. At the end, a series of imposed limits gives the best target sequences endowed with highly probable accessibility and with a potentially active catalytic structure of the hammerhead sequence. A successive experimental approach to verify the effective accessibility of selected targets was used. For that, antisense oligonucleotides addressed to the coding region of bcl2 mRNA were synthesized and administered to the MCF7 human cell line. The inhibition of gene expression, as measured by western analysis of the BCL2 protein, demonstrated that all target sites selected on the basis of their putative accessibility were actually sensitive to antisense treatments while the inaccessible ones were not. The application of this target discovery method to ribozyme design is proposed in order to satisfy a crucial condition.

Design of a ribozyme targeting human telomerase reverse transcriptase and cloning of it’s gene

AIM: To design a hammerhead ribozyme targeting human telomerase reverse transcriptase (hTERT) and clone it’s gene for future use in the study of tumor gene therapy.

METHODS: Using the software RNAstructure, the secondary structure of hTERT mRNA was predicted and the cleavage site of ribozyme was selected. A hammerhead ribozyme targeting this site was designed and bimolecular fold between the ribozyme and hTERT was predicted. The DNA encoding the ribozyme was synthesized and cloned into pGEMEX-1 and the sequence of the ribozyme gene was confirmed by DNA sequencing.

RESULTS: Triplet GUC at 1742 of hTERT mRNA was chosen as the cleavage site of the ribozyme. The designed ribozyme was comprised of 22 nt catalytic core and 17 nt flanking sequence. Computer-aided prediction suggested that the ribozyme and hTERT mRNA could cofold into a proper conformation. Endonuclease restriction and DNA sequencing confirmed the correct insertion of the ribozyme gene into the vector pGEMEX-1.

CONCLUSION: This fundamental work of successful designing and cloning of an anti-hTERT hammerhead ribozyme has paved the way for further study of inhibiting tumor cell growth by cleaving hTERT mRNA with ribozyme.

Rapid identification of efficient target cleavage sites using a hammerhead ribozyme library in an iterative manner

A major limitation to the effectiveness of ribozymes is definition of accessible sites in targeted RNAs. Although library selection procedures have been developed, they are generally difficult to perform and have not been widely employed. Here we describe a selection technology that utilizes a randomized, active hammerhead ribozyme (Rz) library in an iterative manner. After two rounds of binding under inactive conditions, the selected, active Rz library is incubated with target RNA, and the sites of cleavage are identified on sequencing gels. We performed this library-selection protocol using human papillomavirus type 16 E6/E7 mRNA as target and constructed Rz targeted to the identified sites. Rz targeted to sites identified with this procedure were generally highly active in vitro and, more importantly, they were highly active in cell culture, whereas their catalytically inactive counterparts were not. This protocol can be used to identify a set of potential target sites within a relatively short time.

Development and comparison of procedures for the selection of delta ribozyme cleavage sites within the hepatitis B virus

Delta ribozyme possesses several unique features related to the fact that it is the only catalytic RNA known to be naturally active in human cells. This makes it attractive as a therapeutic tool for the inactivation of clinically relevant RNAs. However, several hurdles must be overcome prior to the development of useful gene-inactivation systems based on delta ribozyme. We have developed three procedures for the selection of potential delta ribozyme target sites within the hepatitis B virus (HBV) pregenome: (i) the use of bioinformatic tools coupled to biochemical assays; (ii) RNase H hydrolysis with a pool of oligonucleotides; and (iii) cleavage assays with a pool of ribozymes. The results obtained with delta ribozyme show that these procedures are governed by several rules, some of which are different from those both for other catalytic RNAs and antisense oligonucleotides. Together, these procedures identified 12 sites in the HBV pregenome that can be cleaved by delta ribozymes, although with different efficiencies. Clearly, both target site accessibility and the ability to form an active ribozyme-substrate complex constitute interdependent factors that can best be addressed using a combinatorial library of either oligonucleotides or ribozymes.

Nucleic-acid therapeutics: basic principles and recent applications

The sequencing of the human genome and the elucidation of many molecular pathways that are important in disease have provided unprecedented opportunities for the development of new therapeutics. The types of molecule in development are increasingly varied, and include antisense oligonucleotides and ribozymes. Antisense technology and catalytic nucleic-acid enzymes are important tools for blocking the expression of abnormal genes. One FDA-approved antisense drug is already in the clinic for the treatment of cytomegalovirus retinitis, and other nucleic-acid therapies are undergoing clinical trials. This article reviews different strategies for modulating gene expression, and discusses the successes and problems that are associated with this type of therapy.

Oligodeoxynucleotide-mediated inhibition of c-myb gene expression in autografted bone marrow: a pilot study

Antisense oligodeoxynucleotide (ODN) drugs might be more effective if their delivery was optimized and they were targeted to short-lived proteins encoded by messenger RNA (mRNA) species with equally short half-lives. To test this hypothesis, an ODN targeted to the c-myb proto-oncogene was developed and used to purge marrow autografts administered to allograft-ineligible chronic myelogenous leukemia patients. CD34(+) marrow cells were purged with ODN for either 24 (n = 19) or 72 (n = 5) hours. After purging, Myb mRNA levels declined substantially in approximately 50% of patients. Analysis of bcr/abl expression in long-term culture-initiating cells suggested that purging had been accomplished at a primitive cell level in more than 50% of patients and was ODN dependent. Day-100 cytogenetics were evaluated in surviving patients who engrafted without infusion of unmanipulated "backup" marrow (n = 14). Whereas all patients were approximately 100% Philadelphia chromosome-positive (Ph(+)) before transplantation, 2 patients had complete cytogenetic remissions; 3 patients had fewer than 33% Ph(+) metaphases; and 8 remained 100% Ph(+). One patient's marrow yielded no metaphases, but fluorescent in situ hybridization evaluation approximately 18 months after transplantation revealed approximately 45% bcr/abl(+) cells, suggesting that 6 of 14 patients had originally obtained a major cytogenetic response. Conclusions regarding clinical efficacy of ODN marrow purging cannot be drawn from this small pilot study. Nevertheless, these results lead to the speculation that enhanced delivery of ODN, targeted to critical proteins of short half-life, might lead to the development of more effective nucleic acid drugs and the enhanced clinical utility of these compounds in the future.