Stem-loop RT-qPCR system for multiplex miRNA profiling and its application in wound healing-specific biomarker identification

Abstract

MiRNAs are biomarkers widely used in research but their clinical application is still challenging due to their low expression levels. Current methods for miRNA detection involve separate transcription and quantification for each target, which is costly and unsuitable for large sample sizes. This study provides a strategy for designing and screening miRNA-specific stem-loop reverse transcription (RT) primers, which enable the simultaneous transcription of three miRNAs and U6, and the concurrent detection of miRNA and U6 in the same transcript using TaqMan probes labeled with different dyes. The strategy was successfully employed to establish multiplex RT-PCR and dual-quantitative PCR (qPCR) quantification systems for 21 differentially expressed miRNAs during wound healing. The corresponding system can accurately quantify the cell culture samples containing miR-7a-5p mimic, miR-7a-5p inhibitor, or negative control. In summary, our results demonstrate that this strategy could efficiently accomplish the design, screening, and analysis of stem-loop RT primers for multiplex miRNA detection. Compared with the commercially customized miRNA assay kits, our system showed a higher degree of automation, more accurate qPCR assay capabilities, and lower assay costs, which could provide practical value for clinical diagnosis.