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Related Experiment Video

Updated: Sep 15, 2025

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Composite Fluorescence Encoding Technology Based on Tetrahedral DNA Framework for Logical Distinction and Multiplexed

Xiaoshuang Zhao1,2,3, Yi Xu1, Ning Dai2,3

  • 1Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 865 Changning Road, Shanghai 200050 China.

Analytical Chemistry
|July 15, 2025
PubMed
Summary
This summary is machine-generated.

A new composite fluorescence encoding technology (CFET) uses DNA frameworks and dyes for multiplexed bioanalysis. This method enables precise cell line differentiation and simultaneous detection of multiple microRNAs in vitro and in live cells.

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Nanotechnology

Background:

  • Multiplexed bioanalysis is crucial for disease diagnosis and treatment.
  • Current methods face challenges in specificity and sensitivity for complex biological systems.

Purpose of the Study:

  • To develop a novel composite fluorescence encoding technology (CFET) for advanced multiplexed bioanalysis.
  • To demonstrate the capability of CFET for simultaneous detection and differentiation of biological samples.

Main Methods:

  • Utilized tetrahedral DNA frameworks (TDFs) as carriers and four Alexa Fluor dyes for composite fluorescence encoding.
  • Developed 69 distinct CFET codes by varying dye types and numbers on TDFs.
  • Constructed CFET probes for simultaneous in vitro detection of specific microRNAs (miRNAs) and applied logic gates for cell line discrimination.

Main Results:

  • Achieved multiplexed detection of five miRNAs with high specificity and sensitivity (LOD = 1 nM).
  • Successfully distinguished three breast cell lines (MCF-10A, MCF-7, MDA-MB-231) using fluorescence imaging based on miRNA expression levels.
  • Demonstrated decoding of miRNA identities at the single-cell level through merged fluorescence colors.

Conclusions:

  • CFET offers a versatile platform for multiplexed labeling in vitro and in live cells.
  • The technology shows significant potential for applications in cell differentiation and complex biomolecular recognition.