Identification and verification of aging-related lncRNAs for prognosis prediction and immune microenvironment in patients with head and neck squamous carcinoma

Aging is highly associated with tumor formation and progression.However,little research has explored the association of aging-related lncRNAs(ARLs)with the prognosis and tumor immune microenvironment(TIME)of head and neck squamous cell carcinoma(HNSCC).RNA sequences and clinicopathological data of HNSCC patients and normal subjects were downloaded from The Cancer Genome Atlas.In the training group,we used Pearson correlation,univariate Cox regression,least absolute shrinkage/selection operator regression analyses,and multivariate Cox regression to build a prognostic model.In the test group,we evaluated the model.Multivariate Cox regression was done to screen out independent prognostic factors,with which we constructed a nomogram.Afterward,we demonstrated the predictive value of the risk scores based on the model and the nomogram using time-dependent receiver operating characteristics.Gene set enrichment analysis,immune correlation analysis,and half-maximal inhibitory concentration were also performed to reveal the different landscapes of TIME between risk groups and to predict immuno-and chemo-therapeutic responses.The most important LINC00861 in the model was examined in HNE1,CNE1,and CNE2 nasopharyngeal carcinoma cell lines and transfected into the cell lines CNE1 and CNE2 using the LINC00861-pcDNA3.1 construct plasmid.In addition,CCK-8,Edu,and SA-β-gal staining assays were conducted to test the biofunction of LINC00861 in the CNE1 and CNE2 cells.The signature based on nine ARLs has a good predictive value in survival time,immune infiltration,immune checkpoint expression,and sensitivity to multiple drugs.LINC00861 expression in CNE2 was significantly lower than in the HNE1 and CNE1 cells,and LINC00861 overexpression significantly inhibited the proliferation and increased the senescence of nasopharyngeal carcinoma cell lines.This work built and verified a new prognostic model for HNSCC based on ARLs and mapped the immune landscape in HNSCC.LINC00861 is a protective factor for the development of HNSCC.

Feedforward loop profile among transcription factor, miRNA and mRNA in influenza A virus-infected mouse lungs

Purpose:In the present study,we focused on the 46 microRNAs and 719 genes in the microRNA-gene network,reported by us,and aimed to build a research blueprint of feedforward loops and reveal the key TFs in H1N1-infected mouse lung.Method:Based on microRNAs and genes in the microRNA-gene network previously reported by us,we used Jemboss software to find relationships between TFs and microRNAs(or genes),and then built a TF-microRNA-gene network exploiting the interactions between TFs and microRNAs(or genes).Next,we searched the sequences of above genes or microRNAs near the transcription start site(TSS)area,and then used the MatchTM algorithm to predict relevant TFs,and built the TF-Gene-Network.Result:We built a TF-microRNAgene network and exploreed eight key TFs,namely NF-AT1,GKLF,SRY,SOX10,AML1,MZF1,CRX and myogenin,in the network,and then constructed subgraphs of these eight TFs.Simultaneously,we predicted the possible target genes of microRNAs and identified the feedforward regulation relationship of possible TFs,microRNAs and mRNAs.The results showed that all eight factors with a score greater than 100 were TFs,namely NF-AT1,GKLF,SRY,SOX10,AML1,CRX,myogenin and MZF1.We then constructed subtables of the above eight TFs.Conclusion:In this study,TFs including NF-AT1,GKLF,SRY,SOX10,AML1,MZF1,CRX and myogenin showed the highest score(>100)not only in the TF-microRNA-gene network but also in feedforward loops,indicating that these eight TFs play the most important roles in mouse H1N1 influenza virus infection biology.

Antiviral activity of Jinchai capsule against influenza virus

OBJECTIVE:To evaluate the effect on influenza virus of Jinchai,a capsule made of Traditional Chinese Medicine.METHODS:Madin-darby canine kidney(MDCK) cells were infected with the FM1 strain of influenza virus A(subtype H1N1) in vitro.They were used to explore how Jinchai affected cell adsorption,cell membrane fusion,transcription and replication of the influenza virus.Hemagglutinin(HA) protein,intracellular pH,and influenza virus protein acid(PA) polymerase subunit were detected with confocal microscopy and real-time fluorescent quantitative polymerase chain reaction.RESULTS:Jinchai significantly reduced the expression of HA and PA polymerase subunit mRNA in infected MDCK cells.Jinchai also significantly decreased intracellular pH in infected cells.CONCLUSIONS:Jinchai had strong anti-influenza activity against the influenza virus.It weakened the ability of the influenza virus to adsorb to cell wall and fuse with cell membranes in the early infection stage,and inhibited the transcription and replication of the virus.