MicroRNAs (miRNAs) are endogenous 19-25 nucleotide noncoding single-stranded RNAs that regulate gene expression by blocking the translation or decreasing the stability of mRNAs. In this study, with the treatment of CsA (Cyclosporin A), we showed that miR144 expression levels were decreased while titin mRNA expression levels were increased in human trophoblast (HT) cells, and identified titin as a novel direct target of miR-144. Overexpression of miR-144 suppressed titin and its downstream signaling molecule such as p-ERK1/2 and MMP2/9 expression, and attenuated cell proliferation and invasion. Forced expression of titin can partly rescue the inhibitory effect of miR-144 in the cells. Taken together, these findings will shed light to the role and mechanism of miR-144 in regulating HT cells proliferation and invasion via miR-144/titin axis, and miR-144 may serve as a potential therapeutic target in HT in the future.
MicroRNAs (miRNAs) play roles in the clinic, both as diagnostic and therapeutic tools. The identification of relevant microRNAs is critically required for ovarian cancer because of the prevalence of late diagnosis and poor treatment options currently. To identify miRNAs involved in the development or progression of ovarian cancer, we analyzed gene expression profiles downloaded from Gene Expression Omnibus. Comparison of expression patterns between carcinomas and the corresponding normal ovarian tissues enabled us to identify 508 genes that were commonly up-regulated and 1331 genes that were down-regulated in the cancer specimens. Function annotation of these genes showed that most of the up-regulated genes were related to cell cycling, and most of the down-regulated genes were associated with the immune response. When these differentially expressed genes were mapped to MiRTarBase, we obtained a total of 18 key miRNAs which may play important regulatory roles in ovarian cancer. Investigation of these genes and microRNAs should help to disclose the molecular mechanisms of ovarian carcinogenesis and facilitate development of new approaches to therapeutic intervention.
To investigate insulin resistance of the fetal growth restriction (FGR) mice with catch-up growth (CUG) and the underlying mechanism, in this study, low protein diet was used during pregnancy to establish the FGR mice model, and high fat diet was applied to establish the CUG model of FGR mice. The insulin and Pifithrin-α stimulation was performed via intraperitoneal injection. The physical characters, biochemical parameters, expression of related molecules in each group were detected via ELISA, RT-PCR, WB, etc. The results showed FBG, FINS and HOAM-IR in CUG-FGR group were higher than those in high fat feeding control group (NC+HF), but the content of IGF-1 in blood was lower than that in NC + HF group. Meanwhile, RT-PCR and WB showed that the expression of IGF was negatively correlated with the expression of P53/IGFBP3. Moreover, the expression of P-IRS/p-PI3K/p-Akt decreased with the increasing of HOAM-IR in IGF signaling pathway. When the mice were injected with Pifithrin-α, the phosphorylation level of IGF signaling pathway and insulin resistance index in the CUG-FGR group were increased and decreased, respectively. In conclusion, insulin resistance in CUG-FGR mice is correlated with the IGFBP3/IGF-1/IRS-1/Akt signaling pathway and inhibited p53 could activate this signaling pathway and relieve insulin resistance.
Ovarian cancer is the second most common gynaecological cancer worldwide, and its molecular mechanism has not been completely understood. Ets-1 is a member of the Ets transcription family and can play important roles in the regulation of extracellular matrix remodelling, invasion, angiogenesis and drug resistance in several malignancies, including ovarian cancer. In the current study, we downloaded two datasets from Gene Expression Omnibus database and sought to explore the regulation mechanism of Ets-1 in ovarian cancer by computational analysis of gene expression profiles. Microarray analysis identified a total of 548 genes that were regulated by Ets-1 in ovarian cancer. Functional annotation of these genes revealed that Ets-1 may be involved in several biological processes, both physiological and pathological, such as system development, response to stimulus, vascular endothelial growth factor (VEGF) production, morphogenesis, cell proliferation, cell adhesion and signal transduction. Further, DNA methylation analysis of the DEGs found that 26.5% (145) of them were differentially methylated genes in ovarian cancer. Our results provide insight into the mechanism of Ets-1 regulating the transcription of its target genes in the complex and multistep process of ovarian cancer progression.
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