Objective:To analyze the relationship between the expression level of calumenin(CALU)and the prognosis of hepatocellular carcinoma(HCC)patients by bioinformatics tools and establish the prognostic prediction nomogram,and to clarify its possible mechanism.Methods:The data of 374 HCC tissue samples were downloaded from The Cancer Genome Atlas(TCGA)database and the data of 160 normal tissue samples were down loaded from Genotype-Tissue Expression(GTEx)database.Paired sample t-test was used to analyze the difference in CALU expression between the HCC tissue samples and the paired adjacent normal tissue samples.Human Protein Atlas(HPA)database was used to verify the results.DESeq2 package was used to screen the differentially expressed genes(DEGs)between CALU low expression group and CALU high expression group in the HCC tissue samples.R package pROC was used to analyze the receiver operating characteristic(ROC)curve.Univariate and multivariate Cox regression analyses were used to confirm the prognosis value of CALU in the HCC patients with different clinicopathological characteristics,and ggplot2 package was used to construct the forest plot.R packages rms and survival were used to construct the nomogram and its calibration curve,and the diagnostic value of CALU in distinguishing HCC tissue from normal tissue was analyzed.The data from Kaplan-Meier Plotter database were used to further verify the relationship between CALU and the prognosis of HCC patients.The gene transcriptional expression data of 216 HCC samples obtained from GSE14520 dataset were used to verify the prediction accuracy of the nomogram.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were used to determine the function and enrichment pathways of the DEGs,and Gene Set Enrichment Analysis(GSEA)was used to obtain the significantly enriched gene sets of the DEGs.Single-cell sequencing data of 10 HCC tissue samples and 8 adjacent normal tissue samples obtained from GSE149614 dataset were used to verify the relationship between CALU and the prognosis of HCC patients and its mechanism.Results:Compared with normal tissue,the expression level of CALU mRNA in HCC tissue was significantly increased(P＜0.001),and the expression level of CALU protein in HCC samples was also increased.A total of 928 DEGs were identified between CALU low expression group and CALU high expression group in the HCC samples,including 784 upregulated DEGs and 144 downregulated DEGs.The ROC analysis results indicated that CALU showed high diagnostic value in distinguishing cancer tissue from adjacent non-cancer tissue with an area under curve(AUC)of 0.839.Kaplan-Meier survival analysis showed that the survival rate of HCC patients in CALU high expression group was significantly lower than that in CALU group low expression(P＜0.001).Univariate and multivariate Cox regression analyses results demonstrated that high expression of CALU was an independent risk factor of the prognosis in HCC patients,and a prognosis prediction nomogram was constructed.The applicability of nomogram on the prognosis of HCC was verified by GSE14520 dataset.The GO enrichment analysis results showed that DEGs were mainly enriched in pathways related to the oxidative stress,ferroptosis and cuproptosis(P＜0.05).The KEGG enrichment analysis results showed that DEGs were mainly enriched in the pathways related to extracellular matrix(ECM)receptor interaction,linoleic acid metabolism and neuroactive ligand receptor interaction(P＜0.05).The GSEA results showed that high expression of CALU may promote the G1-S phase transition of the cell cycle,ubiquitination protein polymerization and HCC progression,while low expression of CALU may activate oxidative stress,ferroptosis and cuproptosis in HCC cells.Single-cell sequencing analysis results showed that the expression level of CALU mRNA was significantly increased in HCC cells with advanced tumor stages.HCC_CALU_High cell subset was mainly related to ubiquitination,p53 and cell cycle(P＜0.01),and HCC_CALU_Low cell subset was mainly related to oxidative stress,ferroptosis,and histone binding(P＜0.01).Conclusion:The high expression of CALU may be related to the poor prognosis of HCC patients.The constructed nomogram of HCC prognosis shows favourable effect in predicting the survival rate of the HCC patients.The up-regulation of CALU may promote HCC progression by regulating the G1-S phase of the cell cycle and ubiquitination of protein,while down-regulation of CALU may inhibit HCC progression by inducing oxidative stress,ferroptosis and cuproptosis in cells.

Objective:To screen the interacting protein of ubiquitin-conjugating enzyme E2S(UBE2S)and construct the hepatocellular carcinoma(HCC)based on UBE2S interacting protein prognosis model(UIPM),and to discuss the value of UIPM in assessing the prognosis of the HCC patients.Methods:Co-immunoprecipitation(Co-IP)was used to screen the protein complexes binding to Flag-UBE2S.After validation by sodium dodecyl sulphate-polyacrylamide gel electrophoresis(SDS-PAGE)and Western blotting methods;liquid chromatography-mass spectrometer(LC-MS)was used to identify the UBE2S interacting proteins;Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis were conducted on these proteins;the prognosis-related proteins from The Cancer Genome Atlas(TCGA)were cross-referenced with UBE2S interacting proteins by survival package of R software;the key proteins were extracted through LASSO regression analysis to build the UIPM;the prognostic model risk scoring formula was established.The HCC patients in TCGA were divided into high risk group and low risk group based on median value of the risk scores.The predictive accuracy of UIPM was evaluated by receiver operating characteristic curve(ROC),and the predictive accuracy was further validated by International Cancer Genome Consortium(ICGC)Database;univariate regression analysis and multivariate Cox regression analysis were used to detect whether the UIPM risk score was an independent prognostic factor for HCC.Furthermore,the nomogram model was built.Results:A total of 97 UBE2S interacting proteins were identified through Co-IP combined with LC-MS analysis.The GO functional enrichment analysis and KEGG signaling pathway enrichment analysis results showed that the interacting proteins were closely associated with cysteine-type endopeptidase activity,oxidative stress,and cell death.The TCGA revealed 5 163 HCC prognosis-related proteins;after intersecting with UBE2S interacting proteins,40 prognosis-related interacting proteins were found.Seven key proteins were determined through LASSO regression analysis,including UBE2S,heat shock protein family A member 8(HSPA8),heterogeneous nuclear ribonucleoprotein H1(HNRNPH1),chaperonin containing TCP1 subunit 3(CCT3),eukaryotic translation initiation factor 2 subunit 1(EIF2S1),receptor for activated C kinase 1(RACK1),and actin related protein 2/3 complex subunit 4(ARPC4),and the UIPM was constructed.There was significant difference in survival rate of the patients between high risk group and low risk group(P<0.05).The ROC curve analysis results showed the area under ROC curve(AUC)values of UIPM for predicting 1-year,2-year,and 3-year survival risk scores of the HCC patients were all greater than 0.7,indicating the model had high predictive accuracy.This was also confirmed by ICGC Database data.The univariate and multivariate Cox regression analysis results showed that the UIPM risk score was an independent prognostic risk factor for the HCC patients(P<0.05).The nomogram results showed good consistency between predicted survival rate and actual survival rate of the patient.Conclusion:A total of 97 interacting proteins that interact with UBE2S may promote the occurence and devolopment of HCC through oxidative stress and dysregulation of ferroptosis pathways.The UIPM risk score is an independent risk factor for the prognosis of HCC and can be used to predict the outcomes of the patients.UBE2S,HSPA8,HNRNPH1,CCT3,EIF2S1,RACK1,and ARPC4 could be regarded as the new biomarkers and therapeutic targets for HCC.

Objective To explore the effect of hepatitis B virus (HBV) X protein (HBx) on autotaxin (ATX) expression and its significance. Methods The recombinant eukaryotic expression vector of HBx ,pcD-NA3.1(+)-HBx,and the recombinant luciferase reporter gene vector of ATX promoter,pGL3-ATX,were con-structed and used to co-transfect HepG2 cells to examine the effect of HBx on the activity of ATX promoter. The sta-ble cell expressing HBx,HepG2.HBx,was constructed,and Western blot(WB)was used to detect the effect of HBx on ATX expression. Results The luciferase activity of pcDNA3.1(+)-HBx and pGL3-ATX group was 1.47 times as that of the empty vector cDNA3.1(+)and pGL3-ATX group(P<0.000). WB detection showed that the expression of ATX protein was increased in HepG2.HBx cells,and 1.75 times as that of HepG2 cells(P<0.05). Conclusion HBx can activate ATX promoter and up-regulate ATX expression ,thus suggests that HBV infection might enhance ATX/LPA signaling.

Objective To explore the effect of the gene silencing of phosphatidic acid-preferring phospholipase A1 (PA-PLA1) on insulin secretion in mouse insulin-secreting cell line MIN6. Methods The siRNA expression vector of mouse PA-PLA1 gene targeting was constructed using mouse PA-PLA1 mRNA sequence available in GenBank, and MIN6 cells were transfected with the vector. Fluorescence quantitative PCR and Western-blotwere applied to screen efficient RNAi-vector. After transfection with obtained efficient RNAi-vectors for 48 hours, glucose-stimulated insulin secretion experiments were conducted, and the changes of insulin secretion were examined. Results Four siRNA expression vectors of mouse PA-PLA1 gene targeting were confirmed to be successfully constructed by the analyses of enzyme cleavage and sequencing. The results of fluorescence quantitative PCR and Western blot analyses indicated that the siRNA expression vectorpGPU6-PA-PLA1-1885was the most effective RNAi-vector in the four vectors. The expression levels of the PA-PLA1 mRNA and protein of the MIN6 cells transfectedwith pGPU6-PA-PLA1-1885 decreased to 46.3% and 33.9% of that of the control, respectively, and meanwhile the insulin secretion levels of the cells decreased to 65.0% of that of the control (P < 0.05). Conclusion The gene silencing of phosphatidic acid-preferring phospholipase A1 might decrease insulin secretion in MIN6 cells.

It remains a common problem that the evaluation model of course learning for stu-dents is so simple in the higher education of China. Moreover, the teachers are usually used to evalu-ating student's course learning by summative appraisal and ignore process appraisal, so that the stu-dents are usually lack of learning enthusiasm for self study. Besides, the course learning evaluation of students generally lacks the uniform and detail standard in the country. To resolve these problems, a comprehensive evaluation model of course learning based on the principle of talent evaluation has been practiced and improved since 2007 in some basic medical courses at our university. This model is composed of four parts:the evaluation of mastering basic knowledge, the evaluation of the ability to resolve problems through applied knowledge, the evaluation of practical study and the evaluation of learning initiatives. The model has showed in the practice the characteristics of powerful operability, pluralistic evaluating indicators, combining summative appraisal and process one, reflecting objectively the mastering degree of expertise of students and promoting the self-study of students.

Molecular biology is the fundamental course of life science,and its experimental teaching is difficult to offer due to its long process and need of expensive equipments.Virtual laboratory platform is an important approach for practice teaching in recent years.This article discussed the advantages and requirements,provided the experience of its applying at our university,and suggested that virtual laboratory platform can play a key role in molecular biology experimental teaching.