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Machine-Learning-Based Single-Molecule Quantification of Circulating MicroRNA Mixtures.

Jonathan Jeffet1,2,3, Sayan Mondal2,3, Amit Federbush1,4

  • 1School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.

ACS Sensors
|October 4, 2023
PubMed
Summary
This summary is machine-generated.

We developed a novel method for detecting microRNAs (miRs) in blood plasma. This fast, cost-effective liquid biopsy technique uses spectral imaging and machine learning for early disease detection.

Keywords:
cancer diagnosticscirculating microRNAmachine learningsingle-moleculespectral imaging

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Biotechnology

Background:

  • MicroRNAs (miRs) are small noncoding RNAs regulating gene expression.
  • Circulating miRs in blood plasma serve as potential biomarkers for early disease detection via liquid biopsy.
  • Current detection methods can be complex and time-consuming.

Purpose of the Study:

  • To develop a novel, rapid, and cost-effective method for multiplexed detection and quantification of microRNAs.
  • To enable direct analysis of native, unamplified miRs from small blood volumes.
  • To establish a new tool for early disease diagnostics using liquid biopsy.

Main Methods:

  • A novel assay combining compact spectral imaging with a machine learning-based detection scheme.
  • Multiplexed single-molecule detection and quantification of a selected panel of miRs.
  • Direct analysis of native, unamplified miRs without sequencing.

Main Results:

  • Demonstrated ability for simultaneous multiplexed classification of multiple miR targets.
  • Achieved quantification and distinction of subtle ratio changes between miR targets using synthetic mixtures.
  • Validated the method's time efficiency and cost-effectiveness.

Conclusions:

  • The proposed method offers a significant advancement in microRNA analysis for diagnostics.
  • This technique facilitates early disease detection through non-invasive liquid biopsy.
  • The assay is time-efficient, cost-effective, and suitable for clinical applications.