Optimal endogenous controls for microRNA analysis of visceral adipose tissue in the NAFLD mouse model
Language English Country India Media print
Document type Journal Article
PubMed
40098399
PII: 11
Knihovny.cz E-resources
- MeSH
- Algorithms MeSH
- MicroRNAs * genetics metabolism MeSH
- Disease Models, Animal MeSH
- Mice, Inbred C57BL MeSH
- Mice MeSH
- Non-alcoholic Fatty Liver Disease * genetics pathology metabolism MeSH
- Intra-Abdominal Fat * metabolism pathology MeSH
- Gene Expression Regulation MeSH
- Gene Expression Profiling methods MeSH
- Animals MeSH
- Check Tag
- Male MeSH
- Mice MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- MicroRNAs * MeSH
The selection of proper reference genes and materials is critical in the design of PCR experiments, especially for differential expression studies. In this study, we propose a method to identify robust endogenous control miRNAs in the visceral adipose tissue of C57BL/6J mice with non-alcoholic fatty liver disease induced by alternating Western and control diets. This study outlines a comprehensive methodology for the analysis of microRNA endogenous controls using microfluidic cards in conjunction with miRNA profiling through small RNA sequencing and subsequent validation by quantitative PCR and the RefFinder algorithm. Criteria included were fold change, p-value, reads per million, and gene stability assessment. A set of six putative endogenous microRNAs was identified (miR-331-3p, let-7a-5p, miR-1839-5p, miR-151a-5p, let-7d-5p, and let-7c-5p). Subsequent validation and analysis using the RefFinder algorithm assessed the stability of the selected genes, and a combination of the three most stable endogenous miRNA controls (miR-331-3p, let-7a- 5p, and miR-1839-5p) exhibiting consistent expression patterns with minimal variability was set. Given the absence of universal endogenous controls, individual evaluation of normalizers for each experiment is imperative for accurate miRNA expression measurements. This approach, which combines multiple techniques and assessments, provides a reliable strategy for identifying and validating endogenous controls in miRNA studies.