Jump to main content
Jump to site search

Issue 21, 2015
Previous Article Next Article

Digital quantification of miRNA directly in plasma using integrated comprehensive droplet digital detection

Author affiliations

Abstract

Quantification of miRNAs in blood can be potentially used for early disease detection, surveillance monitoring and drug response evaluation. However, quantitative and robust measurement of miRNAs in blood is still a major challenge in large part due to their low concentration and complicated sample preparation processes typically required in conventional assays. Here, we present the ‘Integrated Comprehensive Droplet Digital Detection’ (IC 3D) system where the plasma sample containing target miRNAs is encapsulated into microdroplets, enzymatically amplified and digitally counted using a novel, high-throughput 3D particle counter. Using Let-7a as a target, we demonstrate that IC 3D can specifically quantify target miRNA directly from blood plasma at extremely low concentrations ranging from 10s to 10 000 copies per mL in ≤3 hours without the need for sample processing such as RNA extraction. Using this new tool, we demonstrate that target miRNA content in colon cancer patient blood is significantly higher than that in healthy donor samples. Our IC 3D system has the potential to introduce a new paradigm for rapid, sensitive and specific detection of low-abundance biomarkers in biological samples with minimal sample processing.

Graphical abstract: Digital quantification of miRNA directly in plasma using integrated comprehensive droplet digital detection

Back to tab navigation

Supplementary files

Publication details

The article was received on 12 Jun 2015, accepted on 11 Sep 2015 and first published on 14 Sep 2015


Article type: Paper
DOI: 10.1039/C5LC00650C
Citation: Lab Chip, 2015,15, 4217-4226
  •   Request permissions

    Digital quantification of miRNA directly in plasma using integrated comprehensive droplet digital detection

    K. Zhang, D. Kang, M. M. Ali, L. Liu, L. Labanieh, M. Lu, H. Riazifar, T. N. Nguyen, J. A. Zell, M. A. Digman, E. Gratton, J. Li and W. Zhao, Lab Chip, 2015, 15, 4217
    DOI: 10.1039/C5LC00650C

Search articles by author

Spotlight

Advertisements