Abstract
BACKGROUND: MicroRNAs are regulatory molecules and suggested as non-invasive biomarkers for molecular diagnostics and prognostics. Altered expression levels of specific microRNAs are associated with hepatitis B virus infection and hepatocellular carcinoma. We previously identified differentially expressed microRNAs with liver-specific target genes in plasma from children with chronic hepatitis B. To further understand the biological role of these microRNAs in the pathogenesis of chronic hepatitis B, we have used the human liver cell line HepG2, with and without HBV replication, after transfection of hepatitis B virus expression vectors. RT-qPCR is the preferred method for microRNA studies, and a careful normalisation strategy, verifying the optimal set of reference genes, is decisive for correctly evaluating microRNA expression levels. The aim of this study was to provide valid reference genes for the human HCC-derived cell line HepG2.
RESULTS: A panel of 739 microRNAs was screened to identify the most stably expressed microRNAs, followed by a PubMed search identifying microRNAs previously used as reference genes. Sixteen candidate reference genes were validated by RT-qPCR. Reference gene stabilities were calculated first by standard deviations of ΔCt values and then by geNorm and NormFinder analyses, taking into account the amplification efficiency of each microRNA primer set. The optimal set of reference genes was verified by a target analysis using RT-qPCR on miR-215-5p.
CONCLUSION: We identified miR-24-3p, miR-151a-5p, and miR-425-5p as the most valid combination of reference genes for microRNA RT-qPCR studies in our hepatitis B virus replicating HepG2 cell model.
Original language | English |
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Article number | 38 |
Journal | BMC Research Notes |
Volume | 9 |
Pages (from-to) | 1-7 |
Number of pages | 7 |
ISSN | 1756-0500 |
DOIs | |
Publication status | Published - 22 Jan 2016 |
Keywords
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic
- Genes, Essential
- Hep G2 Cells
- Hepatitis B virus
- Humans
- MicroRNAs
- Real-Time Polymerase Chain Reaction
- Reference Standards
- Software
- Virus Replication
- Journal Article