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Single-Molecule FRET-Based Dynamic DNA Sensor.

Anoja Megalathan1, Kalani M Wijesinghe1, Soma Dhakal1

  • 1Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.

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|March 15, 2021
PubMed
Summary

This study presents a simple, background-free sensor for ultrasensitive detection of the p53 tumor suppressor gene. The novel method achieves femtomolar detection limits without amplification, aiding early cancer diagnosis.

Keywords:
DNA/RNA detectionbiomarkersfluorescence resonance energy transfer (FRET)hybridization sensorsingle moleculesingle-nucleotide polymorphism (SNP)ultrasensitive sensor

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Area of Science:

  • Biomolecular Engineering
  • Molecular Diagnostics
  • Cancer Genomics

Background:

  • Ultrasensitive nucleic acid detection is crucial for early disease diagnosis and targeted therapy.
  • Current methods often rely on complex designs or target amplification.
  • The p53 tumor suppressor gene is frequently mutated in human cancers.

Purpose of the Study:

  • To develop a simple, background-free platform for ultrasensitive detection of nucleic acid biomarkers.
  • To demonstrate the utility of this platform for detecting p53 gene mutations.
  • To establish a method for early disease diagnosis and genetic disorder screening.

Main Methods:

  • Utilized a Förster Resonance Energy Transfer (FRET)-based sensor with dynamic switching behavior.
  • Employed a simple, generic hybridization-based detection platform.
  • Assessed sensor performance in detecting p53 gene sequences and discriminating against single-nucleotide polymorphisms (SNPs).

Main Results:

  • Achieved a background-free, ultrasensitive detection limit down to low femtomolar (fM) concentrations without target amplification.
  • Demonstrated continuous dynamic switching between low- and high-FRET states in the presence of the target p53 gene.
  • Showcased high efficacy in discriminating against single-nucleotide polymorphisms (SNPs).

Conclusions:

  • The developed sensor offers a simple yet powerful approach for ultrasensitive nucleic acid detection.
  • This platform holds significant potential for early disease diagnosis and genetic disorder screening.
  • The generic nature of the platform allows for broad applicability to various nucleic acid targets.