Continuously tunable nucleic acid hybridization probes.

In silico-designed nucleic acid probes and primers often do not achieve favorable specificity and sensitivity tradeoffs on the first try, and iterative empirical sequence-based optimization is needed, particularly in multiplexed assays. We present a novel, on-the-fly method of tuning probe affinity and selectivity by adjusting the stoichiometry of auxiliary species, which allows for independent and decoupled adjustment of the hybridization yield for different probes in multiplexed assays. Using this method, we achieved near-continuous tuning of probe effective free energy. To demonstrate our approach, we enforced uniform capture efficiency of 31 DNA molecules (GC content, 0-100%), maximized the signal difference for 11 pairs of single-nucleotide variants and performed tunable hybrid capture of mRNA from total RNA. Using the Nanostring nCounter platform, we applied stoichiometric tuning to simultaneously adjust yields for a 24-plex assay, and we show multiplexed quantitation of RNA sequences and variants from formalin-fixed, paraffin-embedded samples.

Modular probes for enriching and detecting complex nucleic acid sequences.

Complex DNA sequences are difficult to detect and profile, but are important contributors to human health and disease. Existing hybridization probes lack the capability to selectively bind and enrich hypervariable, long or repetitive sequences. Here, we present a generalized strategy for constructing modular hybridization probes (M-Probes) that overcomes these challenges. We demonstrate that M-Probes can tolerate sequence variations of up to 7 nt at prescribed positions while maintaining single nucleotide sensitivity at other positions. M-Probes are also shown to be capable of sequence-selectively binding a continuous DNA sequence of more than 500 nt. Furthermore, we show that M-Probes can detect genes with triplet repeats exceeding a programmed threshold. As a demonstration of this technology, we have developed a hybrid capture method to determine the exact triplet repeat expansion number in the Huntington's gene of genomic DNA using quantitative PCR.

Simulation-guided DNA probe design for consistently ultraspecific hybridization.

Hybridization of complementary sequences is one of the central tenets of nucleic acid chemistry; however, the unintended binding of closely related sequences limits the accuracy of hybridization-based approaches to analysing nucleic acids. Thermodynamics-guided probe design and empirical optimization of the reaction conditions have been used to enable the discrimination of single-nucleotide variants, but typically these approaches provide only an approximately 25-fold difference in binding affinity. Here we show that simulations of the binding kinetics are both necessary and sufficient to design nucleic acid probe systems with consistently high specificity as they enable the discovery of an optimal combination of thermodynamic parameters. Simulation-guided probe systems designed against 44 sequences of different target single-nucleotide variants showed between a 200- and 3,000-fold (median 890) higher binding affinity than their corresponding wild-type sequences. As a demonstration of the usefulness of this simulation-guided design approach, we developed probes that, in combination with PCR amplification, detect low concentrations of variant alleles (1%) in human genomic DNA.