Integrated mRNA‐Seq and miRNA‐Seq analysis of PLCγ2‐overexpressing hepatocarcinoma cells and identification of the associated miRNA‐mRNA network

Variation in the co-expression profile highlights a loss of miRNA-mRNA regulation in multiple cancer types

Recent research provides insight into the ability of miRNA to regulate various pathways in several cancer types. Despite their involvement in the regulation of the mRNA via targeting the 3′UTR, there are relatively few studies examining the changes in these regulatory mechanisms specific to single cancer types or shared between different cancer types.

We analyzed samples where both miRNA and mRNA expression had been measured and performed a thorough correlation analysis on 7494 experimentally validated human miRNA-mRNA target-gene pairs in both healthy and tumoral samples.

We show how more than 90% of these miRNA-mRNA interactions show a loss of regulation in the tumoral samples compared with their healthy counterparts.

As expected, we found shared miRNA-mRNA dysregulated pairs among different tumors of the same tissue. However, anatomically different cancers also share multiple dysregulated interactions, suggesting that some cancer-related mechanisms are not tumor-specific. 2865 unique miRNA-mRNA pairs were identified across 13 cancer types, ≈ 40% of these pairs showed a loss of correlation in the tumoral samples in at least 2 out of the 13 analyzed cancers. Specifically, miR-200 family, miR-155 and miR-1 were identified, based on the computational analysis described below, as the miRNAs that potentially lose the highest number of interactions across different samples (only literature-based interactions were used for this analysis).

Moreover, the miR-34a/ALDH2 and miR-9/MTHFD2 pairs show a switch in their correlation between healthy and tumor kidney samples suggesting a possible change in the regulation exerted by the miRNAs. Interestingly, the expression of these mRNAs is also associated with the overall survival. The disruption of miRNA regulation on its target, therefore, suggests the possible involvement of these pairs in cell malignant functions.

The analysis reported here shows how the regulation of miRNA-mRNA interactions strongly differs between healthy and tumoral cells, based on the strong correlation variation between miRNA and its target that we obtained by analyzing the expression data of healthy and tumor tissue in highly reliable miRNA-target pairs. Finally, a go term enrichment analysis shows that the critical pairs identified are involved in cellular adhesion, proliferation, and migration.

Multi-omics reveals the anticancer mechanism of asparagus saponin-asparanin A on endometrial cancer Ishikawa cells

Multi-omics reveals that AA not only induced apoptosis, but also triggered autophagy in Ishikawa cells through ER stress and DNA damage-related pathways.

Integrative analysis of microRNA and mRNA expression profiles in MARC-145 cells infected with PRRSV

Porcine reproductive and respiratory syndrome virus (PRRSV) causes tremendous economic losses to the swine industry worldwide. miRNAs are crucial regulators of gene expression and a wide range of complex interactions of miRNAs-mRNAs is possible during virus infection. However, there is no comprehensive integrated study of miRNA and mRNA networks in MARC-145 cells after infection with PRRSV. We analyzed the differential expressions, co-relations, annotations, and putative functions of miRNA and mRNA networks in PRRSV-infected MARC-145 cells. Based on the filtering criterion, 22 differentially expressed miRNAs (DEmiRs) (15 up- and 7 downregulated) were filtered out. miRNA-mRNA interaction networks were constructed. For the 18 selected miRNAs, 390 potential target genes were predicted from the differentially expressed mRNAs (DEmRs). GO and KEGG pathway annotations predicted 34 KEGG pathways, 12 of which are known to be involved in virus infection. Real-time PCR validated the RNA-seq results. Our analysis showed that miR-27a-5p and miR-21-3p downregulate the expression of two of their potential target genes-SPARC, CLIC1, and cofilin-1, COX7A2, respectively. Further experiments proved that miR-21-3p and miR-27a-5p can promote PRRSV replication significantly. It is the first report that these two miRNAs participate in the interaction of host cells with PRRSV. Our results provide insights into the role of miRNAs in response to PRRSV infection, which will aid the research for developing novel therapies against PRRSV.