Biochip Combines Graphene Electronics and DNA Strand Displacement for Detection of Polymorphism Mutations

Detection of SNPs with high specificity and sensitivity is essential for effective practical implementation of personalized medicine. However, current DNA sequencing, including SNP detection, primarily uses enzyme-based methods or fluorophore-labeled assays that are time-consuming, need laboratory-scale settings, and are expensive. Previously reported electrical charge-based SNP detectors have insufficient specificity and accuracy, limiting their effectiveness.

In an effort to improve the accuracy and specificity of SNP detection, investigators at the University of California, San Diego (USA) combined dynamic DNA nanotechnology with high resolution electronic sensing in the form of a double stranded DNA probe embedded onto a graphene field effect transistor (FET).

The detection method was based on the displacement of a weakly bound DNA double strand by one containing a specific SNP. The single mismatch was detected by measuring strand displacement-induced resistance (and hence current) change in the graphene transistor. Use of large double-helix DNA strands (up to 47 bases) improved the accuracy of SNP detection by minimizing false-positive results.

“A single stranded DNA probe does not provide this selectivity - even a DNA strand containing one mismatching nucleotide base can bind to the probe and generate false-positive results,” said senior author Dr. Ratnesh Lal, professor of bioengineering, mechanical engineering, and materials science at the University of California, San Diego. “We expected that with a longer probe, we can develop a reliable sequence-specific SNP detection chip. Indeed, we have achieved a high level of sensitivity and specificity with the technology we have developed.”

“We are at the forefront of developing a fast and inexpensive digital method to detect gene mutations at high resolution—on the scale of a single nucleotide change in a nucleic acid sequence,” said Dr. Lal.

The SNP biosensor probe was described in detail in the June 13, 2016, online edition of the journal Proceedings of the [U.S.] National Academy of Sciences.

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University of California, San Diego