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Updated: Mar 31, 2026

Circulating MicroRNA Quantification Using DNA-binding Dye Chemistry and Droplet Digital PCR

Circulating MicroRNA Quantification Using DNA-binding Dye Chemistry and Droplet Digital PCR

Published on: June 26, 2016

Novel method to detect microRNAs using chip-based QuantStudio 3D digital PCR.

Davide Conte¹, Carla Verri², Cristina Borzi³

¹Tumor Genomics Unit, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, via Venezian 1, 20133, Milan, Italy. davide.conte@istitutotumori.mi.it.

|October 24, 2015

Summary

This summary is machine-generated.

This study introduces a novel chip-based digital PCR method for precise quantification of circulating microRNAs (miRNAs) in lung cancer patients. This approach offers a reliable tool for early cancer detection and diagnosis.

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Last Updated: Mar 31, 2026

Circulating MicroRNA Quantification Using DNA-binding Dye Chemistry and Droplet Digital PCR

Circulating MicroRNA Quantification Using DNA-binding Dye Chemistry and Droplet Digital PCR

Published on: June 26, 2016

Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs

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Published on: April 14, 2015

Digital PCR for Quantifying Circulating MicroRNAs in Acute Myocardial Infarction and Cardiovascular Disease

Digital PCR for Quantifying Circulating MicroRNAs in Acute Myocardial Infarction and Cardiovascular Disease

Published on: July 3, 2018

Area of Science:

Biochemistry
Molecular Biology
Genomics

Background:

Lung cancer management requires early detection strategies.
Circulating microRNAs (miRNAs) show promise as cancer biomarkers.
Standardized normalization methods for miRNA quantification are lacking, hindering diagnostic potential.

Purpose of the Study:

To present a novel chip-based digital PCR approach for absolute quantification of circulating miRNAs.
To validate the method for profiling miRNAs in plasma samples from lung cancer patients.

Main Methods:

Utilized the QuantStudio 3D digital PCR platform for miRNA profiling.
Employed synthetic oligonucleotides for method validation.
Tested the approach with plasma samples from lung cancer patients, lung tissues, and cell lines.

Main Results:

Successfully profiled circulating miRNAs using the chip-based digital PCR platform.
Validated the method's accuracy and reliability with synthetic and biological samples.

Conclusions:

The developed approach demonstrates reproducibility and reliability for miRNA quantification.
This chip-digital PCR method can be applied to various biological samples, including exosomes.
It serves as a robust tool for quantitative assessment of miRNA copy number in diagnosing lung cancer and other diseases.