Super‐resolution Geometric Barcoding for Multiplexed miRNA Profiling

MicroRNA (miRNA) expression profiles hold promise as biomarkers for diagnostics and prognosis of complex diseases. Herein, we report a super‐resolution fluorescence imaging‐based digital profiling method for specific, sensitive, and multiplexed detection of miRNAs. In particular, we applied the DNA‐...

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Bibliographic Details
Published in:Angewandte Chemie International Edition 2018-10, Vol.57 (43), p.14075-14079
Main Authors: Xu, Weidong, Yin, Peng, Dai, Mingjie
Format: Article
Language:English
Subjects:
Biomarkers
Deoxyribonucleic acid
Digital imaging
DNA
DNA nanotechnology
DNA-PAINT
Fluorescence
HeLa Cells
Humans
microRNA
MicroRNAs - analysis
MicroRNAs - chemistry
miRNA
Molecular Typing
Multiplexing
Optical Imaging
Ribonucleic acid
RNA
RNA Probes - chemistry
super-resolution imaging
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Summary:MicroRNA (miRNA) expression profiles hold promise as biomarkers for diagnostics and prognosis of complex diseases. Herein, we report a super‐resolution fluorescence imaging‐based digital profiling method for specific, sensitive, and multiplexed detection of miRNAs. In particular, we applied the DNA‐PAINT (point accumulation for imaging in nanoscale topography) method to implement a super‐resolution geometric barcoding scheme for multiplexed single‐molecule miRNA capture and digital counting. Using synthetic DNA nanostructures as a programmable miRNA capture nano‐array, we demonstrated high‐specificity (single nucleotide mismatch discrimination), multiplexed (8‐plex, 2 panels), and sensitive measurements on synthetic miRNA samples, as well as applied one 8‐plex panel to measure endogenous miRNAs levels in total RNA extract from HeLa cells. PAINT by numbers: A super‐resolution fluorescence imaging‐based digital profiling method for specific, sensitive, and multiplexed detection of miRNAs is presented. Specifically, the DNA‐PAINT method was applied to implement a super‐resolution geometric barcoding scheme for multiplexed single‐molecule miRNA capture and digital counting.
ISSN:1433-7851
1521-3773
DOI:10.1002/anie.201807956