Quantitative antisense dose-response relationships: mathematical modeling of antisense action under steady-state conditions

Molecular and cellular barriers limiting the effectiveness of antisense oligonucleotides

Antisense oligonucleotides present a powerful means to inhibit expression of specific genes, but their effectiveness is limited by factors including cellular delivery, biochemical attack, and poor binding to target. We have developed a systems model of the processes required for an antisense oligonucleotide to enter, gain access to its target mRNA, and exert activity in a cell. The model accurately mimics observed trends in antisense effectiveness with the stability of the oligonucleotide backbone and with the affinity/kinetics of binding to the mRNA over the time course of inhibition. By varying the model parameters within the physically realizable range, we note that the major molecular and cellular barriers to antisense effectiveness are intracellular trafficking, oligonucleotide-mRNA binding rate, and nuclease degradation of oligonucleotides, with a weaker dependence on total cellular uptake than might be expected. Furthermore, the model may serve as a predictive tool to design and test strategies for the cellular use of antisense oligonucleotides. The use of integrated mathematical modeling can play a significant role in the development of antisense and related technologies.

A dynamical systems model to simulate the perturbation kinetics of gene expression by antisense oligonucleotides

Antisense oligonucleotides owe their efficacy to an ability to induce RNase H-dependent suppression of RNA translation, for sufficient time to allow physiological proteolysis. The magnitude and time delay preceding the protein nadir concentration determine the extent and timing of maximum antisense oligonucleotide activity. Antisense oligonucleotide degradation underlies reversal of RNA downregulation. The kinetics of protein downregulation is therefore determined by the complex interaction of both ligand chemistry (nuclease stability, affinity and RNase H activation), and gene expression kinetics. Optimization of antisense oligonucleotide efficacy and experimental design requires understanding of these interactions. The kinetics of protein and RNA downregulation have therefore been simulated by analysing a two-compartment kinetic model incorporating RNase H-dependent transcript degradation. The system of nonlinear differential equations describing this model was solved numerically using Runge-Kutte integration. The timecourse solutions corresponding to the four state variables (RNA, protein, antisense/RNA heteroduplex and antisense oligonucleotide), were determined simultaneously. This allowed systematic in silico examination of the consequences of altering variables such as oligonucleotide concentration, affinity, and stability, or the scheduling of multiple transfections on RNA and protein perturbations. By providing a tool for examining antisense oligonucleotide action theoretically, this heuristic model should facilitate both the rational design and interpretation of antisense experiments.

Antisense inhibition of chondrocyte CD44 expression leading to cartilage chondrolysis

OBJECTIVE

To better define critical functions of the hyaluronan receptor CD44 in cartilage.

METHODS

Articular chondrocytes and cartilage tissue slices were treated with CD44 sequence-specific antisense phosphorothioate oligonucleotides. CD44 expression was probed by immunofluorescence microscopy, enzyme-linked immunosorbent assay, and Western blotting.

RESULTS

Antisense oligonucleotides demonstrated a dose- and time-dependent inhibition of CD44 protein expression; negative controls showed no effect. Similar to osteoarthritic cartilage, antisense-treated cartilage slices displayed a near-total loss of stainable proteoglycan-rich matrix.

CONCLUSION

CD44 expression is needed for maintenance of cartilage homeostasis.