Employing LiCl salt gradient in the wild-type α-hemolysin nanopore to slow down DNA translocation and detect

Trang Vu1, Julia Borgesi, Joanna Soyring

  • 1Department of Biomedical Engineering, Rowan University, Glassboro, NJ 08028, USA. shimj@rowan.edu.

Nanoscale
|May 23, 2019
PubMed

Insights

This study introduces a label-free nanopore method to differentiate methylated cytosine (mC) from cytosine (C). Optimized salt gradients significantly prolong DNA translocation, enabling precise mC detection in mixtures without methyl-specific labels.

Area of Science:

  • Biophysics
  • Nanotechnology
  • Genomics

Background:

  • Distinguishing methylated cytosine (mC) from cytosine (C) is crucial for understanding gene regulation and disease.
  • Current methods often require specific labels, complicating analysis.
  • Nanopore technology offers label-free detection potential for biomolecules.

Purpose of the Study:

  • To develop a label-free, biological nanopore-based method for distinguishing mC from C in mixed samples.
  • To enhance DNA translocation duration and capture rate using optimized salt gradients.
  • To achieve high-resolution detection of mC without methyl-specific labels.

Main Methods:

  • Utilized a biological nanopore system with asymmetric LiCl salt gradients (0.2 M to 3.0 M).
  • Measured translocation dwell time and event capture rate of single-stranded DNA (ssDNA).
  • Analyzed current blockade amplitudes to differentiate mC from C in various mixture ratios.

Main Results:

  • Achieved a 5-fold increase in ssDNA translocation dwell time and a 6-fold increase in capture rate compared to control (1.0 M KCl).
  • Observed a prolonged dwell time of 52 μs per nucleotide and a capture rate of 60 ssDNA/sec.
  • Successfully distinguished 5'-mC from C in mixtures at ratios of 1:1, 3:7, and 7:3, with bimodal current blockade amplitudes corresponding to mixture composition.

Conclusions:

  • Salt gradients effectively slow DNA translocation, enhancing nanopore resolution for label-free mC detection.
  • The developed method provides a sensitive and accurate way to identify mC in complex DNA mixtures.
  • This approach holds promise for epigenetic studies and diagnostics.

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