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Hepatocellular carcinoma (HCC), which accounts for 85–90% of primary liver cancer, is the fifth most common malignant tumor and the third leading cause of cancer-related deaths worldwide, but the pathological mechanism of HCC is still not fully elucidated. miRNAs are evolutionarily endogenous small noncoding RNAs that negatively regulate gene expression via posttranscriptional inhibition or target mRNA degradation in several diseases, especially human cancer. Therefore, discovering the roles of miRNAs is appealing to scientific researchers. Emerging evidence has shown that the aberrant expressions of numerous miRNAs are involved in many HCC biological processes. In hepatocarcinogenesis, miRNAs with dysregulated expression can exert their function as oncogenes or tumor suppressors depending on their cellular target during the cell cycle, and in tumor development, differentiation, apoptosis, angiogenesis, metastasis, and progression of the tumor microenvironment. In this review, we summarize current findings on miRNAs and assess their functions to explore the molecular mechanisms of tumor progression in HCC. [ABSTRACT FROM AUTHOR]

Abstract: Reference genes are used to normalize target genes for relative quantification in gene expression studies. However, different experimental conditions may affect the expression of reference genes, which could lead to erroneous quantitative results. In this study, we performed real-time polymerase chain to investigate the expression of eight reference genes (rpoN, rpoD, dbhA, phaF, 16S rRNA, gst, lexA, and atkA) in Pseudomonas putida mt-2 during degradation of p-xylene. According to their expression stability, geNorm software analysis revealed that rpoN, rpoD, 16S rRNA, and atkA were suitable reference genes with highly stable expression, whereas phaF and dbhA were not suitable due to unstable expression. When normalized either to phaF or dbhA, xylA and xylE expression were significantly different compared to the expression levels normalized with the normalization factor (NF4) obtained from the four most stable reference genes (rpoN, -rpoD, -16S rRNA, and -atkA). The use of unstably expressing reference genes resulted in an over- or underestimation of target gene expression, a delay in maximal gene expression, and an increase in gene expression in the absence of inducer. While experimental results indicated that the relative maximum expression of xylA and xylE occurred at different times, unstable reference genes indicated that the maximum expression occurred at the same time. Our study indicates that a valid set of reference genes covering a broad expression range is recommended to accurately normalize and quantify the relative expression levels of the target gene(s) transcripts in many microbial processes. [Copyright &y& Elsevier]