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Detecting Single Molecule Deoxyribonucleic Acid in a Cell Using a Three-Dimensionally Integrated Nanopore
Makusu Tsutsui1, Kazumichi Yokota2, Akihide Arima3
1The Institute of Scientific and Industrial Research, Osaka University, Mihogaoka 8-1, Ibaraki, Osaka, 567-0047, Japan.
Small Methods
|December 20, 2021
Summary
This study introduces a 3D nanopore device for direct, amplification-free DNA analysis within single cells. The technology detects ionic current changes from DNA molecules, paving the way for rapid genetic variation discovery.
Area of Science:
- Nanotechnology
- Genomics
- Biophysics
Background:
- Genetic variation analysis is crucial for personalized medicine.
- Current methods often require complex amplification steps.
- Single-molecule detection offers a more direct approach.
Purpose of the Study:
- To develop an amplification-free method for in situ single-molecule DNA detection within cells.
- To demonstrate a novel 3D-integrated nanopore device for ionic current measurements.
- To explore the potential for on-chip sequencing and multi-omics analysis at the single-cell level.
Main Methods:
- Fabrication of a 3D-integrated nanopore device using SiO2 and SiNx membranes on a Si wafer.
- Application of a high electrostatic field for single-cell lysis and multinanopore focusing.
- Detection of intracellular molecules via ionic current measurements as they pass through the nanopore sensing zone.
Main Results:
- Successful demonstration of single-cell lysis using a focused electrostatic field.
- Observation of unique telegraphic current signatures corresponding to DNA molecule folding within the nanopore.
- Establishment of a direct, amplification-free method for analyzing single DNA molecules in situ.
Conclusions:
- The 3D-integrated nanopore device enables direct, amplification-free detection of single DNA molecules in cells.
- The observed current signatures provide insights into polynucleotide folding dynamics.
- This technology holds promise for advancing on-chip single-molecule sequencing and single-cell multi-omics.

