Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer.
Yuliya Andreevna VeryaskinaSergei E TitovMikhail K IvanovPavel S RuzankinAnton S TarasenkoSergei P ShevchenkoIgor B KovynevEvgenij V StupakTatiana I PospelovaIgor F ZhimulevPublished in: PloS one (2022)
MicroRNAs (miRNAs) are promising biomarkers in cancer research. Quantitative PCR (qPCR), also known as real-time PCR, is the most frequently used technique for measuring miRNA expression levels. The use of this technique, however, requires that expression data be normalized against reference genes. The problem is that a universal internal control for quantitative analysis of miRNA expression by qPCR has yet to be known. The aim of this work was to find the miRNAs with stable expression in the thyroid gland, brain and bone marrow according to NanoString nCounter miRNA quantification data. As a results, the most stably expressed miRNAs were as follows: miR-361-3p, -151a-3p and -29b-3p in the thyroid gland; miR-15a-5p, -194-5p and -532-5p in the brain; miR-140-5p, -148b-3p and -362-5p in bone marrow; and miR-423-5p, -28-5p and -532-5p, no matter what tissue type. These miRNAs represent promising reference genes for miRNA quantification by qPCR.
Keyphrases
- poor prognosis
- bone marrow
- binding protein
- mesenchymal stem cells
- high resolution
- papillary thyroid
- real time pcr
- long non coding rna
- multiple sclerosis
- white matter
- gene expression
- machine learning
- squamous cell
- mass spectrometry
- dna methylation
- bioinformatics analysis
- young adults
- transcription factor
- childhood cancer