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Updated: Aug 4, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
Comparison of Reproducibility, Accuracy, Sensitivity, and Specificity of miRNA Quantification Platforms
Paula M Godoy1, Andrea J Barczak2, Peter DeHoff3
1Division of Medical Oncology, Department of Medicine and Department of Developmental Biology, Washington University in Saint Louis, 4518 McKinley Ave., CB 8069, St. Louis, MO 63110, USA; Lung Biology Center, University of California, San Francisco, UCSF Box 2922, San Francisco, CA 94143, USA.
Abstract:
Given the increasing interest in their use as disease biomarkers, the establishment of reproducible, accurate, sensitive, and specific platforms for microRNA (miRNA) quantification in biofluids is of high priority. We compare four platforms for these characteristics: small RNA sequencing (RNA-seq), FirePlex, EdgeSeq, and nCounter. For a pool of synthetic miRNAs, coefficients of variation for technical replicates are lower for EdgeSeq (6.9%) and RNA-seq (8.2%) than for FirePlex (22.4%); nCounter replicates are not performed. Receiver operating characteristic analysis for distinguishing present versus absent miRNAs shows small RNA-seq (area under curve 0.99) is superior to EdgeSeq (0.97), nCounter (0.94), and FirePlex (0.81). Expected differences in expression of placenta-associated miRNAs in plasma from pregnant and non-pregnant women are observed with RNA-seq and EdgeSeq, but not FirePlex or nCounter. These results indicate that differences in performance among miRNA profiling platforms impact ability to detect biological differences among samples and thus their relative utility for research and clinical use.

