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Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM
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Super-resolution Geometric Barcoding for Multiplexed miRNA Profiling.

Weidong Xu1,2,3, Peng Yin1,2, Mingjie Dai1,2

  • 1Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA.

Angewandte Chemie (International Ed. in English)
|September 6, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a super-resolution imaging technique for precise microRNA (miRNA) detection. The method enables sensitive, specific, and multiplexed profiling of miRNA biomarkers for disease diagnostics and prognosis.

Keywords:
DNA nanotechnologyDNA-PAINTmicroRNAmultiplexingsuper-resolution imaging

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Nanotechnology

Background:

  • MicroRNA (miRNA) expression profiles are crucial for disease diagnostics and prognosis.
  • Existing methods for miRNA detection face challenges in specificity, sensitivity, and multiplexing capabilities.

Purpose of the Study:

  • To develop a super-resolution fluorescence imaging-based digital profiling method for specific, sensitive, and multiplexed miRNA detection.
  • To demonstrate the capability of this method for analyzing both synthetic and endogenous miRNA samples.

Main Methods:

  • Utilized DNA-PAINT (point accumulation for imaging in nanoscale topography) for super-resolution imaging.
  • Implemented a geometric barcoding scheme with synthetic DNA nanostructures for multiplexed single-molecule miRNA capture and digital counting.
  • Applied an 8-plex panel to measure endogenous miRNA levels in HeLa cell total RNA extracts.

Main Results:

  • Achieved high specificity with single nucleotide mismatch discrimination.
  • Demonstrated multiplexed detection capabilities (8-plex, 2 panels) for synthetic miRNA samples.
  • Successfully measured endogenous miRNA levels in a biological sample.

Conclusions:

  • The developed super-resolution imaging method offers a powerful tool for precise miRNA profiling.
  • This technique shows significant potential for advancing miRNA-based diagnostics and prognostics in complex diseases.