Rat liver regeneration (LR) proceeds along a process of highly organized and ordered tissue growth in response to the loss or injury of liver tissue, during which many physiological processes may play important roles. The molecular mechanism of hepatocyte proliferation, energy metabolism and substance metabolism during rat LR had been elucidated. Further, the correlation of circular RNA (circRNA) abundance with proliferation has recently been clarified. However, the regulatory capacity of circRNA in rat LR remains a fascinating topic. To investigate the regulatory mechanism of circRNA during priming phase of rat LR, high-throughput RNA sequencing technology was performed to unbiasedly profile the expression of circRNA during priming phase of rat LR. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) biological pathway analysis was conducted to predict the functions of differentially expressed circRNAs and their host linear transcripts. Co-expression networks of circRNA-miRNA were constructed based on the correlation analysis between the differentially expressed LR-related circRNAs and the condition of their miRNA binding sites. To excavate the key circRNAs in the early phase of rat LR, we comprehensively evaluated and integrated the relationship of expression level between the circRNAs and the linear transcripts as well as the distribution of miRNA binding sites in circRNA sequences. This paper is the first to employ the comprehensive circRNA expression profile and to investigate circRNA-miRNA interactions during priming phase of rat LR. Two thousand four hundred twelve circRNAs were detected, and 159 circRNAs deriving from 116 host linear transcripts differentially expressed (p < 0.05). Six significantly changed circRNAs during priming phase of rat LR were screened as key circle molecules, and then were validated by qRT-PCR. This study will lay the foundation for revealing the functional roles of circRNAs during rat LR and help solve the remaining clinical problems.

MicroRNAs (miRNAs) are small non-coding RNAs (ncRNAs) about 22 nucleotides in size, which play an important role in gene regulation and are involved in almost all major cellular physiological processes. In recent years, the abnormal expression of miRNAs has been shown to be associated with human diseases including cancer. In the past ten years, the link between miRNAs and various cancers has been extensively studied, and the abnormal expression of miRNAs has been reported in various malignant tumors, such as lung cancer, gastric cancer, colorectal cancer, liver cancer, breast cancer, and prostate cancer. Due to the high malignancy grade of these cancers, it is more necessary to develop the related diagnostic and prognostic methods. According to the study of miRNAs, many potential cancer biomarkers have been proposed for the diagnosis and prognosis of diseases, especially cancer, thus providing a new theoretical basis and perspective for cancer screening. The use of miRNAs as biomarkers for diagnosis or prognosis of cancer has the advantages of being less invasive to patients, with better accuracy and lower price. In view of the important clinical significance of miRNAs in human cancer research, this article reviewed the research status of miRNAs in the above-mentioned cancers in 2021, especially in terms of diagnosis and prognosis, and provided some new perspectives and theoretical basis for the diagnosis and treatment of cancers.

Researchers have been exploring the genetic mechanisms underlying the control of liver regeneration (LR). However, an integrated analysis of circRNAs expression of rat regenerating livers during the proliferation phase has not been performed yet. For this purpose, circRNAs expression profile was globally analyzed by high-throughput sequencing. It showed that 10,003 circRNAs were detected, and 164 circRNAs were differentially expressed. Subsequently, 27 circRNAs were predicted to bind to 58 candidate miRNAs and compete for miRNA-binding sites with 2195 mRNAs. By applying GO and KEGG analysis, it was predicted that these circRNAs significantly participated in tissue regeneration, regulation of cell proliferation and Ras, p53, Wnt, Jak-STAT, MAPK signalling pathways. Based on the number of the corresponding miRNAs and their role enriched and reported in cell proliferation of LR or hepatocellular carcinoma, four kinds of circRNAs (circ_03848, circ_08236, circ_13398 and circ_15013) were considered as the key circRNAs. The predicted competing endogenous RNA networks and bioinformatics analysis revealed the potential role of these circRNAs in LR, which would provide useful information for understanding the mechanism of LR.

To predict the types, stages and prognostic evaluation of liver diseases based on gene expression changes in liver tissues, the “superposition analysis method” was employed to screen mRNAs which were significant, differentially expressed, relevant, critical, and prognostically informative. Differential expression of candidate critical mRNAs in rat liver diseases was assessed using the t-test, and mRNAs with a p-value ≤ 0.01 were designated as prognostic mRNAs. The expression levels of the prognostic mRNAs were quantified by real-time PCR. The superposition analysis method was applied to calculate the weighted minimum Manhattan distance, which served as the basis for predicting the type of liver disease. 328 critical mRNAs were identified from the rat liver tissues with seven aforementioned liver diseases. Among them, six prognostic mRNAs, including ANXA2, AVPR1A, CLEC10A, FABP4, GSTP1 and RCN2, exhibited p-values ≤ 0.01. qPCR revealed that AVPR1A was downregulated in rat hepatocellular carcinoma (HCC), whereas others were upregulated. The superposition analysis method demonstrated prediction accuracies of 100% for hepatitis, advanced HCC, and terminal-stage HCC; 90% for hepatic fibrosis and early-stage HCC; 80% for cirrhosis; and 50% for intermediate-stage HCC, which described herein for predicting rat liver diseases exhibits considerable reliability and feasibility.

The key event of liver regeneration initiation (LRI) is the switch of hepatocytes from the G0 phase to the G1 phase. This study aimed to use the data from large-scale quantitatively detecting and analyzing (LQDA) to reveal the regulation of hepatocytes in the G0 or G1 phase by competing endogenous RNAs (ceRNAs) during LRI. The hepatocytes of the rat liver right lobe were isolated 0, 6, and 24h after partial hepatectomy. Their ceRNA expression level was measured using LQDA, and the correlation among their expression, interaction, and role was revealed by ceRNA comprehensive analysis. The expression of neurogenic loci notch homologous protein 3 (NOTCH3) mRNA was upregulated in 0h, but the expression of miR-369-3p and rno-Rmdn2_0006 of hepatocytes did not change significantly. Meanwhile, the expression of the G0 phase-related gene CDKN1c was promoted by NOTCH3 upregulation, and the expression of the G1 phase-related gene PSEN2 was inhibited by NOTCH3 downregulation. On the contrary, the expression of NOTCH3 mRNA and rno-Rmdn2_0006 was upregulated at 6h, but the expression of miR-136-3p was downregulated. The expression of the G1 phase-related genes CHUK, DDX24, HES1, NET1, and STAT3 was promoted by NOTCH3 upregulation, and the expression of the G0 phase-related gene CDKN1a was inhibited by NOTCH3 downregulation. These results suggested that the ceRNAs and the NOTCH3-regulated G0 phase- and G1 phase-related genes showed a correlation in expression, interaction, and role. They together regulated the hepatocytes in the G0 phase at 0h and in the G1 phase at 6h. These findings might help understand the mechanism by which ceRNA together regulated the hepatocytes in the G0 or G1 phase.