Developing predictive hybridization models for phosphorothioate oligonucleotides using high-resolution melting.

Area of Science:

• Molecular Biology
• Biophysics
• Chemical Biology

Background:

• Predicting nucleic acid hybridization is vital for applications but requires extensive experimentation.
• Current models are limited, especially for non-natural nucleic acid analogues and chemistries.

Purpose of the Study:

• To evaluate dye-based, high-resolution melting (HRM) as a faster alternative to UV-Vis for acquiring duplex stability parameters.
• To develop predictive models for DNA duplexes, including those with phosphorothioate (PS) linkages.

Main Methods:

• Utilized high-resolution melting (HRM) to determine duplex stability parameters.
• Developed predictive models for phosphodiester (PO) DNA and DNA with phosphorothioate (PS) linkages.
• Applied developed models to design and test a catalytic hairpin assembly circuit.

Main Results:

• HRM-derived models for PO DNA showed comparable predictions to established methods.
• Successfully developed predictive models for DNA duplexes with PS linkages (PS:PS, PS:PO, mixed).
• Found that individual PS modifications destabilize helices by an average of 0.12 kcal/mol.
• PS circuit behavior changes aligned with model predictions.

Conclusions:

• HRM is a viable and efficient method for acquiring parameters for nucleic acid duplex stability prediction.
• HRM enables the development of predictive models for modified nucleic acids like PS DNA.
• These models facilitate the rational design of nucleic acid hybridization applications, such as molecular detection circuits.