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DNA‐Driven Two‐Layer Core–Satellite Gold Nanostructures for Ultrasensitive MicroRNA Detection in Living Cells
Author(s) -
Meng Dan,
Ma Wei,
Wu Xiaoling,
Xu Chuanlai,
Kuang Hua
Publication year - 2020
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.202000003
Subject(s) - biomolecule , raman scattering , rna , raman spectroscopy , materials science , nanotechnology , nanostructure , detection limit , nanoparticle , dna , colloidal gold , linear range , circular dichroism , drop (telecommunication) , biophysics , chemistry , crystallography , gene , chromatography , physics , biology , optics , biochemistry , telecommunications , computer science
It is a significant challenge to achieve controllable self‐assembly of superstructures for biological applications in living cells. Here, a two‐layer core–satellite assembly is driven by a Y‐DNA, which is designed with three nucleotide chains that hybridized through complementary sequences. The two‐layer core–satellite nanostructure (C 30 S 5 S 10 NS) is constructed using 30 nm gold nanoparticles (Au NPs) as the core, 5 nm Au NPs as the first satellite layer, and 10 nm Au NPs as the second satellite layer, resulting in a very strong circular dichroism (CD) and surface‐enhanced Raman scattering. After optimization, the yield is up to 85%, and produces a g ‐factor of 0.16 × 10 −2 . The hybridization of the target microRNA (miRNA) with the molecular probe causes a significant drop in the CD and Raman signals, and this phenomenon is used to detect the miRNA in living cells. The CD signal has a good linear range of 0.011–20.94 amol ng RNA −1 and a limit of detection (LOD) of 0.0051 amol ng RNA −1 , while Raman signal with the range of 0.052–34.98 amol ng RNA −1 and an LOD of 2.81 × 10 −2 amol ng RNA −1 . This innovative dual‐signal method can be used to quantify biomolecules in living cells, opening the way for ultrasensitive, highly accurate, and reliable diagnoses of clinical diseases.