Novel Programmable DNA Nanosystem Designed for Low Cost Molecular Detection

Henderson, professor, Iowa State University (Ames, IO, USA). Prof. Henderson and former student Dr. Divita Mathur developed the system and its first application: genetic detection of Ebola virus. Such a machine would prove valuable in the developing world, where access to diagnostic medical equipment can be rare. This nanotechnology could be fabricated cheaply and deployed easily. In conjunction with a smartphone app, it could be used independently of traditional medical facilities to detect Ebola or other pathogens and diseases.

The trick lies in understanding the rules that govern how DNA works, said Prof. Henderson, “It’s possible to exploit that rule set in a way that creates advantages for medicine and biotechnology.” The researchers harnessed DNA hybridization forces so that the components of the nanomachines, once added to water and then heated and cooled, find each other and assemble correctly without further effort from the individual deploying the machines.

More technically, they harnessed the difference in persistence length (“rigidity”) of single-stranded and double-stranded DNA to elicit a defined physical state change in a self-assembling DNA nanosystem, a platform they call OPTIMuS (Oligo-Propelled Technology for Interrogating Molecular Systems). This inducible state change can be used to interrogate user-programmed molecular interactions within OPTIMuS. In this study they showed how OPTIMuS can be used to detect a soluble target molecule and assess the relative strength of a non-covalent (base stacking) molecular interaction. They employed an embedded photonic system that tests for the presence of the target molecules, where upon detection the photonic system flashes a light, which can be read with a fluorometer.

This sort of technology could be modified to detect other pathogens and other kinds of molecules. Prof. Henderson also envisions development of similar nanomachines that would encapsulate medication for targeted delivery.

The study, by Mathur D & Henderson ER, was published online June 7, 2016, in the journal Scientific Reports.

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