Single Molecular Nanopores as a Label-Free Method for Homogeneous Conformation Investigation and Anti-Interference Molecular Analysis.
Chunmiao YuYesheng WangRuiping WuBingling LiPublished in: ACS applied materials & interfaces (2023)
In this paper, we propose a "reciprocal strategy" that, on the one hand, explores the ability of solid-state nanopores in a homogeneous high-fidelity characterization of nucleic acid assembly and, on the other hand, the formed nucleic acid assembly with a large size serves as an amplifier to provide a highly distinguished and anti-interference signal for molecular sensing. Four-hairpin hybridization chain reaction (HCR) with G-rich tail tags is taken as the proof-of-concept demonstration. G-rich tail tags are commonly used to form G-quadruplex signal probes on the side chain of HCR duplex concatemers. When such G-tailed HCR concatemers translocate the nanopore, abnormal, much higher nanopore signals over normal duplexes can be observed. Combined with atomic force microscopy, we reveal the G-rich tail may easily induce the "intermolecular interaction" between HCR concatemers to form "branched assembly structure (BAS)". To the best of our knowledge, this is the first evidence for the formation BAS of the G tailed HCR concatemers in a homogeneous solution. Systematic nanopore measurements further suggest the formation of these BASs is closely related to the types of salt ions, the amount of G, the concentration of substrate hairpins, the reaction time, and so forth. Under optimized conditions, these BASs can be grown to just the right size without being too large to block the pores, while producing a current 14 times that of conventional double-stranded chains. Here, these very abnormal large current blockages have, in turn, been taken as an anti-interference signal indicator for small targets in order to defend the high noises resulting from co-existing big species (e.g., enzymes or other long double-stranded DNA).
Keyphrases
- nucleic acid
- solid state
- single molecule
- atomic force microscopy
- label free
- living cells
- healthcare
- high speed
- machine learning
- quantum dots
- mass spectrometry
- fluorescent probe
- single cell
- gene expression
- big data
- dna methylation
- high resolution
- artificial intelligence
- plant growth
- deep learning
- circulating tumor cells