
pmid: 32774694
pmc: PMC7407681
MicroRNAs (miRNAs) are small RNAs of 18-25 nucleotides in length that are widely distributed in eukaryotes and are produced by DNA transcription. As regulators of post-transcriptional gene expression, it plays an important role in the physiological processes of cells. As some miRNAs in the body are abnormally expressed at different and earlier stages of diseases, this phenomenon suggests that accurate, sensitive and specifical detection of them can be helpful for early and differential diagnosis. To expound the technological progress of miRNA detection, we reviewed all the related articles in PubMed database published before May 6, 2019, with the following keywords: "miRNA", "real-time fluorescent quantitative PCR", "electrochemical detection", "next-generation sequencing", "digital PCR technology". Original articles and reviews on the topics were selected. The present methods established for quantitative detection of miRNAs mainly relies on various probe design and labeling techniques, and the improvement of the sensitivity and specificity of detection is often through combination of microarray chips, real-time fluorescent quantitative PCR, high-throughput sequencing and other techniques. This paper combines the existing microRNA detection methods to provide a reference for researchers to choose the best detection method.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
