ObjectiveTo explore the mechanism of dihydrouridine synthase 4-like (DUS4L) on the development of lung adenocarcinoma (LUAD).MethodsThe RNA-seq expression data of LUAD was downloaded from The Cancer Genome Atlas (TCGA), and the relationship between its clinical pathological characteristics and DUS4L mRNA expression was evaluated. The effect of DUS4L knockdown on the proliferation of A549 cells was detected by EDU proliferation assay. The gene expression profile of lung adenocarcinoma A549 cells in the DUS4L knockdown group (KD group) and control group (NC group) was detected by transcriptome sequencing technique. The differential genes were screened by DESeq2. ClusterProfiler was used to perform GO functional enrichment analysis of differential genes.ResultsThe expression of DUS4L mRNA in LUAD tissues was higher than that in normal tissues, and the up-regulation of DUS4L was related to the clinical pathological characteristics of LUAD patients. EDU proliferation assay suggested that knocking down DUS4L could inhibit the proliferation of A549 cells. A total of 456 differential genes were screened, including 289 up-regulated genes and 167 down-regulated genes [|log2(fold change)|>1 and Padj<0.05]. STC2 and TRIB3 were significantly down-regulated (P<0.05). Differential genes were mainly involved in the production of interleukin-8, angiogenesis, vascular endothelial cell proliferation and other biological pathways.ConclusionDUS4L can widely regulate the gene expression of LUAD cells, which provides a new idea for further studying the function and role of DUS4L in the occurrence and development of LUAD and finding new therapeutic targets for LUAD.
ObjectiveTo detect the differentially expressed circular RNA (circRNA) in rotator cuff tendinopathy and analyze the potential molecular mechanism of these parental genes.MethodsTen supraspinatus tendons donated from patients who underwent tendon repair surgery between June 2018 and June 2019 were used for RNA-sequence. All rotator cuff tendinopathy and normal tendon samples were confirmed by MRI, histological staining, and observation by arthroscopy. All pathological tendons were matched with tendon samples for patients’ age, gender, body mass index, and Bonar score. The bioinformatic analysis was performed based on the differentially expressed circRNA and their parental genes, including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and competing endogenous RNA (ceRNA) network construction.ResultsThere were 94 differentially expressed circRNAs, including 31 up-regulated and 63 down-regulated, detected between the rotator cuff tendinopathy and normal tendon samples with |log2 fold change (FC)| >2, P<0.05. GO analysis showed that the genes were mostly enriched in response to cyclic adenosine monophosphate (cAMP). KEGG pathway analysis showed that the most genes were enriched in extracellular matrix-receptor interaction, protein digestion and absorption, cell cycle, and nuclear factor κB signaling pathway. ceRNA networks showed the interactions among circRNAs, mRNAs, and miRNAs. And circRNA.8951-has-miR-6089-DNMT3B was the most sum max energy.ConclusionThis bioinformatic study reveals several potential therapeutic targets for rotator cuff tendinopathy, which paves the way to better treatment and prevention of this disorder.