LC-MS-Based Direct Quantification of MicroRNAs in Rat Blood
- PMID: 37970034
- PMCID: PMC10634253
- DOI: 10.1021/acsomega.3c06045
LC-MS-Based Direct Quantification of MicroRNAs in Rat Blood
Abstract
MicroRNA (miRNA) has recently garnered significant research attention, owing to its potential as a diagnostic biomarker and therapeutic target. Liquid chromatography-mass spectrometry (LC-MS) offers accurate quantification, multiplexing capacity, and high compatibility with various matrices. These advantages establish it as a preferred technique for detecting miRNA in biological samples. In this study, we presented an LC-MS method for directly quantifying seven miRNAs (rno-miR-150, 146a, 21, 155, 223, 181a, and 125a) associated with immune and inflammatory responses in rat whole blood. To ensure miRNA stability in the samples and efficiently purify target analytes, we compared Trizol- and proteinase K-based extraction methods, and the Trizol extraction proved to be superior in terms of analytical sensitivity and convenience. Chromatographic separation was carried out using an oligonucleotide C18 column with a mobile phase composed of N-butyldimethylamine, 1,1,1,3,3,3-hexafluoro-2-propanol, and methanol. For MS detection, we performed high-resolution full scan analysis using an orbitrap mass analyzer with negative electrospray ionization. The established method was validated by assessing its selectivity, linearity, limit of quantification, accuracy, precision, recovery, matrix effect, carry-over, and stability. The proposed assay was then applied to simultaneously monitor target miRNAs in lipopolysaccharide-treated rats. Although potentially less sensitive than conventional methods, such as qPCR and microarray, this direct-detection-based LC-MS method can accurately and precisely quantify miRNA. Given these promising results, this method could be effectively deployed in various miRNA-related applications.
© 2023 The Authors. Published by American Chemical Society.
Conflict of interest statement
The authors declare no competing financial interest.
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References
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- Song C.; Chen W.; Kuang J.; Yao Y.; Tang S.; Zhao Z.; Guo X.; Shen W.; Lee H. K. Recent advances in the detection of multiple microRNAs. TrAC, Trends Anal. Chem. 2021, 139, 116269 10.1016/j.trac.2021.116269. - DOI
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