Discrimination of single-point mutations in unamplified genomic DNA via Cas9 immobilized on a graphene field-effect transistor

Simple and fast methods for the detection of target genes with single-nucleotide specificity could open up genetic research and diagnostics beyond laboratory settings. We recently reported a biosensor for the electronic detection of unamplified target genes using liquid-gated graphene field-effect t...

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Veröffentlicht in:Nature biomedical engineering 2021-07, Vol.5 (7), p.713-725
Hauptverfasser: Balderston, Sarah, Taulbee, Jeffrey J., Celaya, Elizabeth, Fung, Kandace, Jiao, Amanda, Smith, Kasey, Hajian, Reza, Gasiunas, Giedrius, Kutanovas, Simonas, Kim, Daehwan, Parkinson, Jonathan, Dickerson, Kenneth, Ripoll, Juan-José, Peytavi, Regis, Lu, Hsiang-Wei, Barron, Francie, Goldsmith, Brett R., Collins, Philip G., Conboy, Irina M., Siksnys, Virginijus, Aran, Kiana
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Sprache:eng
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Zusammenfassung:Simple and fast methods for the detection of target genes with single-nucleotide specificity could open up genetic research and diagnostics beyond laboratory settings. We recently reported a biosensor for the electronic detection of unamplified target genes using liquid-gated graphene field-effect transistors employing an RNA-guided catalytically deactivated CRISPR-associated protein 9 (Cas9) anchored to a graphene monolayer. Here, using unamplified genomic samples from patients and by measuring multiple types of electrical response, we show that the biosensors can discriminate within one hour between wild-type and homozygous mutant alleles differing by a single nucleotide. We also show that biosensors using a guide RNA–Cas9 orthologue complex targeting genes within the protospacer-adjacent motif discriminated between homozygous and heterozygous DNA samples from patients with sickle cell disease, and that the biosensors can also be used to rapidly screen for guide RNA–Cas9 complexes that maximize gene-targeting efficiency. Liquid-gated graphene field-effect transistors anchoring guide RNA–Cas9 complexes can be used to discriminate between single-point mutations in human genomic samples.
ISSN:2157-846X
2157-846X
DOI:10.1038/s41551-021-00706-z