Detection of CRISPR-dCas9 on DNA with Solid-State Nanopores

Journal Article (2018)
Author(s)

Wayne Yang (TU Delft - Applied Sciences, Kavli institute of nanoscience Delft)

Laura Restrepo-Pérez (TU Delft - Applied Sciences, Kavli institute of nanoscience Delft)

Michel Bengtson (Kavli institute of nanoscience Delft, TU Delft - Applied Sciences)

Stephanie J. Heerema (TU Delft - Applied Sciences, Kavli institute of nanoscience Delft)

Anthony Birnie (Kavli institute of nanoscience Delft, TU Delft - Applied Sciences)

Jaco Van Der Torre (Kavli institute of nanoscience Delft, TU Delft - BN/Technici en Analisten)

Cees Dekker (Kavli institute of nanoscience Delft, TU Delft - Applied Sciences)

Research Group
BN/Cees Dekker Lab
DOI related publication
https://doi.org/10.1021/acs.nanolett.8b02968 Final published version
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Publication Year
2018
Language
English
Research Group
BN/Cees Dekker Lab
Journal title
Nano Letters
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Abstract

Solid-state nanopores have emerged as promising platforms for biosensing including diagnostics for disease detection. Here we show nanopore experiments that detect CRISPR-dCas9, a sequence-specific RNA-guided protein system that specifically binds to a target DNA sequence. While CRISPR-Cas9 is acclaimed for its gene editing potential, the CRISPR-dCas9 variant employed here does not cut DNA but instead remains tightly bound at a user-defined binding site, thus providing an excellent target for biosensing. In our nanopore experiments, we observe the CRISPR-dCas9 proteins as local spikes that appear on top of the ionic current blockade signal of DNA molecules that translocate through the nanopore. The proteins exhibit a pronounced blockade signal that allows for facile identification of the targeted sequence. Even at the high salt conditions (1 M LiCl) required for nanopore experiments, dCas9 proteins are found to remain stably bound. The binding position of the target sequence can be read from the spike position along the DNA signal. We anticipate applications of this nanopore-based CRISPR-dCas9 biosensing approach in DNA-typing based diagnostics such as quick disease-strain identification, antibiotic-resistance detection, and genome typing.