Modulation of thermal stability can enhance the potency of siRNA.

During RNA-induced silencing complex (RISC) assembly the guide (or antisense) strand has to separate from its complementary passenger (or sense) strand to generate the active RISC complex. Although this process was found to be facilitated through sense strand cleavage, there is evidence for an alternate mechanism, in which the strands are dissociated without prior cleavage. Here we show that the potency of siRNA can be improved by modulating the internal thermodynamic stability profile with chemical modifications. Using a model siRNA targeting the firefly luciferase gene with subnanomolar IC50, we found that placement of thermally destabilizing modifications, such as non-canonical bases like 2,4-difluorotoluene or single base pair mismatches in the central region of the sense strand (9-12 nt), significantly improve the potency. For this particular siRNA, the strongest correlation between the decrease in thermal stability and the increase in potency was found at position 10. Controls with stabilized sugar-phosphate backbone indicate that enzymatic cleavage of the sense strand prior to strand dissociation is not required for silencing activity. Similar potency-enhancing effects were observed as this approach was applied to other functional siRNAs targeting a different site on the firefly luciferase transcript or endogenously expressed PTEN.

Reversed-phase high-performance liquid chromatography method for simultaneous analysis of two liposome-formulated short interfering RNA duplexes.

Gene silencing induced by short interfering RNA (siRNA) has proven to be useful in genomic research and has great potential for therapeutic applications; however, siRNAs are not readily bioavailable. Cationic liposomes offer effective protection of drug product from nucleases and enable distribution to desired target organs. The amount of siRNA in the formulation must be determined accurately. We have developed a stability-indicating, ion-pair, reversed-phase high-performance liquid chromatography method to separate and accurately quantitate two siRNA duplexes in a liposome without sample pretreatment. The gradient mobile phase system consisted of 385mM hexafluoro-2-propanol, 14.5mM triethylamine, and 5% methanol (mobile phase A) and 385mM hexafluoro-2-propanol, 14.5mM triethylamine, and 90% methanol (mobile phase B). The column used was an XBridge C18 column (50x2.1mm i.d., 2.5microm particle size), and separation was performed at 60 degrees C. Quantitation was achieved with ultraviolet (UV) detection at 260nm. Linearity was established for the single strands of both siRNA duplexes for concentrations ranging from 10 to 110microg/ml. Accuracy of the method was determined by replicate analysis (n=5) at four concentrations (R(2)>0.996 and relative standard deviations [RSDs] of 1-4%). The use of an ion-pairing reagent that is compatible with mass spectrometry detection makes this method amenable to liquid chromatography-mass spectrometry (LC-MS) impurity profiling.

An automated algorithm for sequence confirmation of chemically modified oligonucleotides by tandem mass spectrometry.

We have developed a tandem mass spectrometry (MS/MS) data analysis program for confirmation of sequence of chemically modified oligonucleotides. The method is based on the analysis of deconvoluted MS/MS data for fragment ions from three charge states and comparison of these data against a set of computer-generated masses from expected fragmentation patterns. The algorithm compares the experimental masses not only against the fragment set predicted for the expected sequence but also against a wider test set covering all next-neighbor position switches of the original sequence and all pairwise swaps of nucleosides, which in synthesis would result in molecules with masses within a preset mass tolerance. The algorithm is capable of identifying incorrect sequences that would not be distinguished by identity testing with electrospray ionization mass spectrometry. The method has been tested with permutations of the two 21-mer single strands of a chemically modified short interfering RNA containing 2'-O-methyl and phosphorothioate linkages. For both strands, challenge sequences were synthesized and tested with the premise that they were the original sequences. The algorithm correctly reported the locations of next-neighbor position switches and nucleoside swaps. The results confirm the approach as useful for MS/MS-based identity test methods for synthetic oligonucleotides.

Therapeutic silencing of an endogenous gene by systemic administration of modified siRNAs.

RNA interference (RNAi) holds considerable promise as a therapeutic approach to silence disease-causing genes, particularly those that encode so-called 'non-druggable' targets that are not amenable to conventional therapeutics such as small molecules, proteins, or monoclonal antibodies. The main obstacle to achieving in vivo gene silencing by RNAi technologies is delivery. Here we show that chemically modified short interfering RNAs (siRNAs) can silence an endogenous gene encoding apolipoprotein B (apoB) after intravenous injection in mice. Administration of chemically modified siRNAs resulted in silencing of the apoB messenger RNA in liver and jejunum, decreased plasma levels of apoB protein, and reduced total cholesterol. We also show that these siRNAs can silence human apoB in a transgenic mouse model. In our in vivo study, the mechanism of action for the siRNAs was proven to occur through RNAi-mediated mRNA degradation, and we determined that cleavage of the apoB mRNA occurred specifically at the predicted site. These findings demonstrate the therapeutic potential of siRNAs for the treatment of disease.

Integrative biological analysis of the APOE*3-leiden transgenic mouse.

Integrative (or systems biology) is a new approach to analyzing biological entities as integrated systems of genetic, genomic, protein, metabolite, cellular, and pathway events that are in flux and interdependent. Here, we demonstrate the application of intregrative biological analysis to a mammalian disease model, the apolipoprotein E3-Leiden (APO*E3) transgenic mouse. Mice selected for the study were fed a normal chow diet and sacrificed at 9 weeks of age-conditions under which they develop only mild type I and II atherosclerotic lesions. Hepatic mRNA expression analysis showed a 25% decrease in APO A1 and a 43% increase in liver fatty acid binding protein expression between transgenic and wild type control mice, while there was no change in PPAR-alpha expression. On-line high performance liquid chromatography-mass spectrometry quantitative profiling of tryptic digests of soluble liver proteins and liver lipids, coupled with principle component analysis, enabled rapid identification of early protein and metabolite markers of disease pathology. These included a 44% increase in L-FABP in transgenic animals compared to controls, as well as an increase in triglycerides and select bioactive lysophosphatidylcholine species. A correlation analysis of identified genes, proteins, and lipids was used to construct an interaction network. Taken together, these results indicate that integrative biology is a powerful tool for rapid identification of early markers and key components of pathophysiologic processes, and constitute the first application of this approach to a mammalian system.

Methods for the differential integrative omic analysis of plasma from a transgenic disease animal model.

Multitiered quantitative analysis of biological systems is rapidly becoming the desired approach to study hierarchical functional interactions between proteins and metabolites. We describe here a novel systematic approach to analyze organisms with complex metabolic regulatory networks. By using precise analytical methods to measure biochemical constituents and their relative abundance in whole plasma of transgenic ApoE*3-Leiden mice and an isogenic wild-type control group, simultaneous snapshots of metabolic and protein states were obtained. Novel data processing and multivariate analysis tools such as Impurity Resolution Software (IMPRESS) and Windows-based linear fit program (WINLIN) were used to compare protein and metabolic profiles in parallel. Canonical correlations of the resulting data show quantitative relationships between heterogeneous components in the TG animals. These results, obtained solely from whole plasma analysis allowed us, in a rapid manner, to corroborate previous findings as well as find new events pertaining to dominant and peripheral events in lipoprotein metabolism of a genetically modified mammalian organism in relation to ApoE3, a key mediator of lipoprotein metabolism.