Adaption of a Solid-State Nanopore to Homogeneous DNA Organization Verification and Label-Free Molecular Analysis without Covalent Modification.
Zhentong ZhuYa ZhouXiaolong XuRuiping WuYongdong JinBingling LiPublished in: Analytical chemistry (2017)
Recent advances have shown increasing designs of nucleic acid organizations via controlling the thermodynamics and kinetics of oligonucleotides. Nevertheless, deeper understanding and further applications of these DNA nanotechnologies are majorly hampered by the lack of effective analytical methodologies that are competent enough to investigate them. To deliver a potential solution, here we developed an innovative exploration that employed the emerging nanopore technique to characterize DNA organization at the single-molecule level and in completely homogeneous condition without covalent modification. With the help of counting and profiling the translocation-induced current drop of a DNA assembly structure passing through a conical glass nanopore (CGN), we have directly verified the formation of the individual double-helix concatemer generated from our model, hybridization chain reaction (HCR). Due to the ultrasensitivity of the nanopore technology, those concatemers that were difficult to observe on a conventional electrophoresis image were brought to light. The translocation duration time also provided the approximate length and folding information for the concatemers. These advantages were proven also applicable to structures with more sophisticated folding behaviors. Eventually, when coupling with an upstream reaction, CGN was further turned to a universal detector that was capable of even detecting other nucleic acid organization behaviors as well as targets that were unable to generate huge products. All of these results are expected to promote deeper study and applications of the nanopore technique in the field of nucleic acid nanotechnology.
Keyphrases
- nucleic acid
- single molecule
- solid state
- label free
- living cells
- atomic force microscopy
- high resolution
- deep learning
- healthcare
- computed tomography
- diabetic rats
- health information
- magnetic resonance
- endothelial cells
- climate change
- ionic liquid
- mass spectrometry
- oxidative stress
- single cell
- social media
- drug induced