Transcriptomic and bioinformatics analysis of the mechanism by which erythropoietin promotes recovery from traumatic brain injury in mice

Recent studies have found that erythropoietin promotes the recovery of neurological function after traumatic brain injury.However,the precise mechanism of action remains unclea r.In this study,we induced moderate traumatic brain injury in mice by intrape ritoneal injection of erythro poietin for 3 consecutive days.RNA sequencing detected a total of 4065 differentially expressed RNAs,including 1059 mRNAs,92 microRNAs,799 long non-coding RNAs,and 2115circular RNAs.Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analyses revealed that the coding and non-coding RNAs that were differentially expressed after traumatic brain injury and treatment with erythropoietin play roles in the axon guidance pathway,Wnt pathway,and MAPK pathway.Constructing competing endogenous RNA networks showed that regulatory relationship between the differentially expressed non-coding RNAs and mRNAs.Because the axon guidance pathway was repeatedly enriched,the expression of Wnt5a and Ephb6,key factors in the axonal guidance pathway,was assessed.Ephb6 expression decreased and Wnt5a expression increased after traumatic brain injury,and these effects were reversed by treatment with erythro poietin.These findings suggest that erythro poietin can promote recove ry of nerve function after traumatic brain injury through the axon guidance pathway.

Molecular Cloning and Bioinformatics Analysis of msrA Gene from Vibrio alginolyticus Strain HY9901

[Objectives]This study was conducted to understand the structure and function of MsrA protein.[Methods]With Vibrio alginolyticus HY9901 as the object of study,primers were designed to amplify the full-length gene of msrA,and its bioinformatics analysis was carried out.[Results]The full length of msrA gene was 639 bp,encoding 212 amino acids,and its theoretical molecular weight was about 23729.60 Da.The protein had a stable structure,and it was hydrophobic overall.The structure of signal peptides at the N terminal of the amino acid sequence was predicted,and it was found that there was no signal peptide cleavage site and no transmembrane region.The amino acid sequence of MsrA contained multiple signal binding sites.Protein subcellular localization showed that MsrA protein was most likely located in the cytoplasm.Homology analysis showed that MsrA of V.alginolyticus had high homology with other Vibrio species,and the highest homology with V.alginolyticus.In the prediction of functional domains,MsrA had the function of methionine sulfoxide reduction.In secondary structure prediction,MsrA contained random coils at a proportion of 46.70%,which was the highest.The similarity between the tertiary structure model of MsrA and template Q87SW6.1.A was 89.15%.PTM analysis showed that MsrA protein had many PTM modification sites such as phosphorylation and glycosylation sites.[Conclusions]This study provides some reference value for further study on the role of MsrA in bacterial antioxidant stress.

Molecular Cloning of sodB Gene from Vibrio alginolyticus HY9901 and Its Bioinformatics Analysis

Vibrio alginolyticus is a zoonotic bacterium.A pair of specific primers was designed using the sodB gene sequence of Vibrio alginolyticus HY9901 in order to amplify the full length of the gene by PCR.The results indicated that the total length of the sodB gene was 585 bp and that it could encode 194 amino acids.The predicted amino acid sequence derivation indicated that the molecular weight of the protein was approximately 21.56 kDa,with an isoelectric point of 4.95.Upon prediction of the N-terminal signal peptide structure of the protein,no significant signal peptide cleavage site was observed,indicating that the protein lacked both a signal peptide and a transmembrane region.The amino acid sequence contained an N-glycosylation site,a casein kinase II phosphorylation site,a microsomal C-terminal target signal site,and a manganese and iron superoxide dismutase signal site.The probability of intracytoplasmic localization of the SodB protein was 56.5%,which was analyzed according to the subcellular localization of the protein.The amino acid sequence of the sodB gene of V.alginolyticus exhibited 98%-100%homology to other Vibrio species,clustering into the same subfamily with V.parahaem,indicating a relatively close relationship between them.In the prediction of protein structure,the proportions ofα-helix,random coil,β-sheet,and extended strand were 48.45%,30.41%,5.67%,and 15.46%,respectively.The similarity to template 1dt0.1.A reached 71.58%.A PTM site analysis revealed the presence of phosphorylation,glycosylation,ubiquitination,sumoylation,acetylation,and methylation modification sites,as well as the absence of lactylation modification sites.

Molecular Cloning and Bioinformatics Analysis of cyaA Gene of Vibrio alginolyticus Strain HY9901

[Objectives]This study was conducted to explore the biological functions of cyaA gene of Vibrio alginolyticus.[Methods]With DNA of V.alginolyticus HY 9901 as a template,primers were designed according to the sequence of cyaA gene,and the cyaA gene was amplified by PCR.Bioinformatics analysis was performed.[Results]The cyaA gene of V.alginolyticus HY9901 was 2529 bp in size,and encoded 842 amino acids.The molecular structure of CyaA protein was C_(4358)H_(6745)N_(1171)O_(1286)S_(35).Its theoretical molecular weight was 97.24167 kDa and the theoretical pI value was 5.56.It had no signal peptide and transmembrane domain.CyaA protein had three N-terminal glycosylation sites,one cAMP and cGMP-dependent protein kinase phosphorylation site,nine protein kinase C phosphorylation sites,nine casein kinase II phosphorylation sites,one tyrosine kinase phosphorylation site,seven N-terminal myristoylation sites,one pentenyl binding site and ten microbody C-terminal localization signal sites.Subcellular localization prediction showed that CyaA protein was mainly located in the nucleus and cytoplasm.Through multi-sequence alignment and phylogenetic tree construction,it was concluded that V.alginolyticus had high CyaA homology with other Vibrio species.cyaA of V.alginolyticus was clustered with Vibrio fluminensis and Vibrio marinisedimini,and they were closely related.The secondary structure of CyaA protein consisted ofα-helixes(43.11%),random coils(38.00%)and extended strands(14.49%).In protein network interaction,it was found that the proteins adjacent to CyaA protein were Crp-2,CpdA,Crr,PtsG-2,ANP67209.1,Crp-1,PykF,Pyk,RelA and Ndk.[Conclusions]This study provides a new idea for formulating strategies for the prevention and control of vibriosis.

Bioinformatics Analysis of the Association between Ewing’s Sarcoma and Tuberculosis Comorbidity

Objective To screen and analyze the differentially expressed genes of Ewing’s sarcoma (ES) and Tuberculosis (TB) by bioinformatics. Methods GEO gene chip public database in NCBI was used for data retrieval, and chip data GSE17674 and GSE57736 were selected as analysis objects. The R language limma toolkit was used to screen DEmRNAs, and the data were standardized, and the common differentially expressed genes were screened by Venn diagram. The GO function and KEGG pathway enrichment of common differentially expressed genes were analyzed by using the R cluster Profiler package. String database was selected for PPI analysis, and the results were imported into Cytoscape software to obtain PPI interaction map, core module and Hub gene. Import Hub gene into BioGPS database. Results: A total of 3 Hub genes were screened, namely CD3D, LCK, KLRB1;The genes were imported into BioGPS database to obtain the specific genes. Conclusion The selected differential genes and related signaling pathways are helpful to understand the molecular mechanism of ES and TB, and can provide the basis for early diagnosis of ES complicated with TB. It also provides new ideas for clinical treatment and diagnosis.

Bioinformatics Analysis of the Biological Properties of Ewing Sarcoma

Purpose: Bioinformatics-based approach to screen and analyze differentially expressed genes associated with the biological characteristics of Ewing sarcoma. Means: The GSE17674 dataset was selected for analysis, obtained by data retrieval based on the GEO public database. The R language limma toolkit was used to screen DEmRNAs. After the data were normalized, the Metascape online analysis software and the R language clusterProfiler package were used to analyze the GO function and KEGG pathway enrichment of DEmRNAs lines, respectively. The string database was selected for PPI analysis, and the results were imported into Cytoscape software to derive the core modules and predicted core genes. The genes selected above were analyzed for tissue localization specificity. Results: Through the analysis of GSE17674, differentially expressed genes were screened out, and GO and KEGG analyses were performed on the differentially expressed genes. The GO functional enrichment analysis was mainly enriched in the process of muscle system, muscle contraction, myocyte development, contractile fibers, myogenic fibers, myofibers, myofibrillar segments, actin binding, structural composition of muscle, and actin filament binding. KEGG pathway analysis showed that the core pathways associated with the development of ES were the core genes for myocardial contraction, congestive cardiomyopathy, and hypertrophic cardiomyopathy. Five Hub genes were obtained based on Cytoscape prediction. Tissue localization specificity analysis of Hub genes was performed, and a total of 2 Hub genes with tissue specificity were screened;MYH6 was specifically expressed in cardiac cells and MYL1 was specifically expressed in skeletal muscle cells. Conclusions: The differential genes screened will help to understand the molecular mechanisms underlying the highly invasive and metastasis-prone biological characteristics of ES, as well as provide new ideas for clinical drug-targeted treatment of ES.

Bioinformatics Analysis of the Relationship between Dilated Cardiomyopathy and Chronic Heart Failure

Objective: To screen and analyze the differentially expressed genes between dilated cardiomyopathy (DCM) and chronic heart failure (CHF) based on bioinformatics methods. Methods: The Gene Expression Omnibus (GEO) database was used for data retrieval, and the chip data GSE3585 was downloaded, which was the original data of DCM and normal control group. At the same time, the chip data GSE76701 was downloaded, which was the original data of CHF and control group. Differentially expressed mRNAs (DEmRNAs) were screened by R language limma package, the data were standardized, and the common differentially expressed genes were screened. GO function and KEGG pathway enrichment analysis were performed on the common differentially expressed genes. String11.0 online tool was used for data analysis to obtain differentially expressed genes, and the results were imported into Cytoscape 3.9.1 software. The results were imported into Cytoscape 3.9.1 software, and the common expression gene module was obtained by MOCDE algorithm. Nine Hub genes were obtained by 10 algorithms such as MCC. Results: A total of 248 differentially expressed genes were screened. GO analysis showed that differentially expressed genes were mainly concentrated in 9 different physiological and pathological processes. KEGG analysis showed that the main signaling pathways involved in differentially expressed genes were 2, and 9 key differentially expressed genes were predicted: NPPB, NPPA, MYH6, FRZB, ASPN, SFRP4, RPS4Y1, DDX3Y. Conclusion: This study preliminarily explored the molecular mechanism of DCM and CHF, and obtained the common differentially expressed genes of the two diseases. Further experimental studies are needed to verify the correlation between gene expression and clinicopathological features. Provide new ideas for clinical drug treatment research.

A Bioinformatics Analysis of FAM3A to Identify its Potential Role as a Biomarker in Liver Hepatocellular Cancer

Liver hepatocellular cancer(LIHC)is positioned as the third cancer with the highest mortalities worldwide,and high mortalities are associated with late diagnosis and recurrence.This study advances bioinformatics analysis of FAM3A expression in LIHC to evaluate its potential as a prognostic,diagnostic and therapeutic biomarker.Bioinformatics tools such as UALCAN,GEPIA2,KM plotter,TIMER2 and cBioPortal are employed to conduct analysis.Initially,the expression analysis revealed up-regulation of FAM3A in LIHC based on various variables.Further,the study observed that FAM3A methylation regulates expression as variation in methylation level of FAM3A was assessed in LIHC.Moreover,this over-expression of FAM3A results in poor overall survival(OS)in LIHC patients.All of these proposed that FAM3A has a role in the progression and development of LIHC.While examined association of FAM3A expression and infiltration level of CD8+T cells in LIHC patients using TIMER2 revealed that FAM3A has a positive correlation with purity in LIHC that highlights the molecular landscape.Analysis of genetic alteration revealed minute role of FAM3A in LIHC still provides valuable insight.Overall,our findings reveal that FAM3A has potential as diagnostic,therapeutic and prognostic biomarkers in LIHC.

Identification and Validation of SLC9A2 as A Potential Tumor Suppressor in Colorectal Cancer:Integrating Bioinformatics Analysis with Experimental Confirmation

Objective To uncover the mechanisms underlying the development of colorectal cancer(CRC),we applied bioinformatic analyses to identify key genes and experimentally validated their possible roles in CRC onset and progression.Methods We performed Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis on differentially expressed genes(DEGs),constructed a protein-protein interaction(PPI)network to find the top 10 hub genes,and analyzed their expression in colon adenocarcinoma(COAD)and rectum adenocarcinoma(READ).We also studied the correlation between these genes and immune cell infiltration and prognosis and validated the expression of SLC9A2 in CRC tissues and cell lines using qRT-PCR and Western blotting.Functional experiments were conducted in vitro to investigate the effects of SLC9A2 on tumor growth and metastasis.Results We found 130 DEGs,with 45 up-regulated and 85 down-regulated in CRC.GO analysis indicated that these DEGs were primarily enriched in functions related to the regulation of cellular pH,zymogen granules,and transmembrane transporter activity.KEGG pathway analysis revealed that the DEGs played pivotal roles in pancreatic secretion,rheumatoid arthritis,and the IL-17 signaling pathway.We identified 10 hub genes:CXCL1,SLC26A3,CXCL2,MMP7,MMP1,SLC9A2,SLC4A4,CLCA1,CLCA4,and ZG16.GO enrichment analysis showed that these hub genes were predominantly involved in the positive regulation of transcription.Gene expression analysis revealed that CXCL1,CXCL2,MMP1,and MMP7 were highly expressed in CRC,whereas CLCA1,CLCA4,SLC4A4,SLC9A2,SLC26A3,and ZG16 were expressed at lower levels.Survival analysis revealed that 5 key genes were significantly associated with the prognosis of CRC.Both mRNA and protein expression levels of SLC9A2 were markedly reduced in CRC tissues and cell lines.Importantly,SLC9A2 overexpression in SW480 cells led to a notable inhibition of cell proliferation,migration,and invasion.Western blotting analysis revealed that the expression levels of phosphorylated ERK(p-ERK)and phosphorylated JNK(p-JNK)proteins were significantly increased,whereas there were no significant changes in the expression levels of ERK and JNK following SLC9A2 overexpression.Correlation analysis indicated a potential link between SLC9A2 expression and the MAPK signaling pathway.Conclusion Our study suggests that SLC9A2 acts as a tumor suppressor through the MAPK pathway and could be a potential target for CRC diagnosis and therapy.

Identification of functional genes regulating gastric cancer progression using integrated bioinformatics analysis

BACKGROUND Gastric cancer(GC)is one of the most common cancers and has a poor prognosis.Treatment of GC has remained unchanged over the past few years.AIM To investigate the potential therapeutic targets and related regulatory biomarkers of GC.METHODS We obtained the public GC transcriptome sequencing dataset from the Gene Expression Omnibus database.The datasets contained 348 GC tissues and 141 healthy tissues.In total,251 differentially expressed genes(DEGs)were identified,including 187 down-regulated genes and 64 up-regulated genes.The DEGs’enriched functions and pathways include Progesterone-mediated oocyte maturation,cell cycle,and oocyte meiosis,Hepatitis B,and the Hippo signaling pathway.Survival analysis showed that BUB1,MAD2L1,CCNA2,CCNB1,and BIRC5 may be associated with regulation of the cell cycle phase mitotic spindle checkpoint pathway.We selected 26 regulated genes with the aid of the protein-protein interaction network analyzed by Molecular Complex Detection.RESULTS We focused on three critical genes,which were highly expressed in GC,but negatively related to patient survival.Furthermore,we found that knockdown of Yu K et al.Biochemical analysis in GC WJCC https://www.wjgnet.com 5024 July 26,2023 Volume 11 Issue 21 BIRC5,TRIP13 or UBE2C significantly inhibited cell proliferation and induced cell apoptosis.In addition,knockdown of BIRC5,TRIP13 or UBE2C increased cellular sensitivity to cisplatin.CONCLUSION Our study identified significantly upregulated genes in GC with a poor prognosis using integrated bioinformatics methods.

Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer

BACKGROUND Gastric cancer(GC)is one of the most common malignant tumors with poor prognosis in terms of advanced stage.However,the survival-associated biomarkers for GC remains unclear.AIM To investigate the potential biomarkers of the prognosis of patients with GC,so as to provide new methods and strategies for the treatment of GC.METHODS RNA sequencing data from The Cancer Genome Atlas(TCGA)database of STAD tumors,and microarray data from Gene Expression Omnibus(GEO)database(GSE19826,GSE79973 and GSE29998)were obtained.The differentially expressed genes(DEGs)between GC patients and health people were picked out using R software(x644.1.3).The intersections were underwent between the above obtained co-expression of differential genes(co-DEGs)and the DEGs of GC from Gene Expression Profiling Interactive Analysis database,and Gene Ontology(GO)analysis,Kyoto Encyclopedia of Gene and Genome(KEGG)pathway analysis,Gene Set Enrichment Analysis(GSEA),Protein-protein Interaction(PPI)analysis and Kaplan-Meier Plotter survival analysis were performed on these DEGs.Using Immunohistochemistry(IHC)database of Human Protein Atlas(HPA),we verified the candidate Hub genes.RESULTS With DEGs analysis,there were 334 co-DEGs,including 133 up-regulated genes and 201 down-regulated genes.GO enrichment analysis showed that the co-DEGs were involved in biological process,cell composition and molecular function pathways.KEGG enrichment analysis suggested the co-DEGs pathways were mainly enriched in ECM-receptor interaction,protein digestion and absorption pathways,etc.GSEA pathway analysis showed that co-DEGs mainly concentrated in cell cycle progression,mitotic cell cycle and cell cycle pathways,etc.PPI analysis showed 84 nodes and 654 edges for the co-DEGs.The survival analysis illustrated 11 Hub genes with notable significance for prognosis of patients were screened.Furtherly,using IHC database of HPA,we confirmed the above candidate Hub genes,and 10 Hub genes that associated with prognosis of GC were identified,namely BGN,CEP55,COL1A2,COL4A1,FZD2,MAOA,PDGFRB,SPARC,TIMP1 and VCAN.CONCLUSION The 10 Hub genes may be the potential biomarkers for predicting the prognosis of GC,which can provide new strategies and methods for the diagnosis and treatment of GC.

Amplification and Bioinformatics Analysis of h-ns Gene of Vibrio alginolyticus

[Objectives]To amplify the h-ns gene of Vibrio alginolyticus and analyze it by bioinformatics.[Methods]According to the h-ns gene sequence of V.alginolyticus HY9901,a pair of specific primers were designed and amplified by PCR.[Results]The h-ns gene was 408 bp in length and 135 amino acids were encoded.The predicted theoretical protein molecular weight was about 14.98 kD,and the isoelectric point was 4.99.Protein subcellular localization,SignalP 5.0,TMHMM Server 2.0 and SoftBerry-Psite predictions showed that H-NS was located outside the cell membrane,and the protein was unstable and hydrophobic.There was no signal peptide cleavage site,no transmembrane region and no KEGG metabolic pathway.The amino acid sequence contained three phosphorylation sites,one N-terminal myristoylation site and three microsomal C-terminal target signal sites.Using MEGA 5.0,H-NS phylogenetic tree was constructed by ortho-connection method.The results showed that H-NS of V.alginolyticus was closer to H-NS of Vibrio diabolicus.Using SWISS-MODEL,the three-dimensional structure model of H-NS subunit was simulated,which was similar to the crystal structure of Salmonella typhimurium H-NS1-83.[Conclusions]This study lays a foundation for exploring the regulation mechanism of V.alginolyticus H-NS protein on bacterial virulence in the future.

Cloning and Bioinformatics Analysis of vscB Gene of T3SS Chaperone of Vibrio alginolyticus

[Objectives]To clone and analyze the vscB gene of Vibrio alginolyticus HY9901 by bioinformatics.[Methods]A pair of specific primers were designed according to the vscB gene sequence of Vibrio alginolyticus HY9901.The full length of the primers was cloned by PCR and analyzed by bioinformatics.[Results]The vscB gene was 429 bp long,encoding 142 amino acids,with a theoretical molecular weight of 16.4 kDa and a pI value of 5.48.Amino acid sequence analysis of VscB showed that VscB was not a secretory protein,without signal peptide and transmembrane region,and there were protein kinase C phosphorylation site and casein kinase II phosphorylation site in the sequence.Homologous comparison of amino acid sequences showed that VscB of V.alginolyticus had the highest protein similarity with Vibrio Parahaemolyticus,reaching 91%.Phylogenetic tree analysis showed that the corresponding proteins of V.alginolyticus VscB,Vibrio Parahaemolyticus and Vibrio diabolicus were clustered in the same subfamily.Functional domain analysis showed that it had CesT family domain.Tertiary structure prediction showed that there were 3α-helices and 5β-turns in VscB protein.[Conclusions]This study provided a theoretical basis for further study on the function of chaperone of V.alginolyticus.

Cloing and Bioinformatics Analysis of ndk Gene from Vibrio alginolyticus

[Objectives]The paper was to clone and analyze bioinformatics of ndk gene from Vibrio alginolyticus.[Methods]A pair of specific primers was designed based on the ndk gene sequence of V.alginolyticus HY9901.The full length of ndk gene was amplified by PCR and bioinformatics analysis was performed.MEGA 5.0 software was used to construct NDK phylogenetic tree by neighbor-joining method.SWISS-MODEL program was used to obtain the three-dimensional structural model of single subunit from NDK protein.[Results]The ndk gene,molecular structural formula C702H1094N192O214S7,was 426 bp in total,encoding 141 amino acids,with the theoretical molecular weight of 15.87199 kD and the theoretical pI value of 5.13.The prediction results of protein subcellular localization,SignalP 5.0,TMHMM Server 2.0 and SoftBerry-Psite showed that NDK mainly existed in the cytoplasm,and the protein was unstable and hydrophobic.There was neither signal peptide cleavage site,nor transmembrane region and KEGG metabolic pathway.The amino acid sequence had two protein kinase C phosphorylation sites,a casein kinaseⅡphosphorylation site,a N-myristoylation site,three microbody C-terminal target signal sites,and a nucleoside diphosphate kinase active site.Homology analysis showed that the NDK of V.alginolyticus had high homology with that of V.diabolicus,with a similarity of 98.58%.Analysis of the structural functional domain revealed that the protein had one NDK structural functional domain.The prediction results of secondary structure showed that theα-helix,random coil,β-sheet and extended strand accounted for 53.19%,28.37%,7.09%and 11.35%,respectively.Analysis of NDK protein via STRING database demonstrated that the proteins interacting with NDK protein were NrdA,NrdB,GmK,CmK,TmK,PyrG,PyrH,RelA,FolE and SpoT.[Conclusions]The study plays a positive role in the prevention and control of vibriosis and the improvement of the current aquaculture environment.

Amplification and Bioinformatics Analysis of vscN Gene from Vibrio alginolyticus

[Objectives]The paper was to clone and analyze bioinformatics of vscN gene from Vibrio alginolyticus.[Methods]A pair of specific primers was designed based on the vscN gene sequence of V.alginolyticus HY9901.The full length of vscN gene was amplified by PCR and bioinformatics analysis was performed.[Results]The vscN gene was 1323 bp in total,encoding 440 amino acids,with the theoretical molecular weight of 47.86 kD and the theoretical pI value of 5.89.The online prediction showed that there was no signal peptide and no transmembrane region in VscN.The amino acid sequence had 10 N-myristoylation sites,8 phosphorylation sites(2 protein kinase C phosphorylation sites,6 casein kinase II phosphorylation sites),1 amidation site,11 microbody C-terminal target signal sites,1 ATP/GTP binding site motif A(P ring),and 1 ATPaseαandβsubunit specific site.Homology analysis showed that the VscN protein of V.alginolyticus had high homology with that of V.antiquarius,with a similarity of 95.14%.Phylogenetic tree analysis showed that the VscN of V.alginolyticus was clustered into the same subgroup as that of V.diabolicus and V.antiquarius.Functional domain analysis of VscN protein showed that it had Pfam and AAA domains,and involved in the regulation of bacterial virulence.The three-dimensional structure model of VscN simulated by SWISS-MODEL software was similar to the structure of flagellate-specific ATPase FliH-FliI complex.[Conclusions]The results lay a foundation for further study on the regulatory mechanism of VscN protein on bacterial virulence.

Bioinformatics Analysis and Identification of Potential Genes Associated with Pathogenesis and Prognosis of Gastric Cancer

Objective Gastric cancer(GC)is a deadly cancer and a challenging public health problem globally.This study aimed to analyze potential genes associated with pathogenesis and prognosis of gastric cancer.Methods This work selected the overlapping differentially expressed genes(DEGs)in GC from four datasets,the GSE29272,GSE29998,GSE54129 and GSE118916 Gene Expression Omnibus databases.These DEGs were used to carry out comprehensive bioinformatic analysis to analyze the related functions and pathways enriched,the relative expression levels and immune infiltrates,the prognostic characteristics and the interaction network.Results In total,55 DEGs increased while 98 decreased in their expression levels.For those DEGs with increased expression,they were mostly concentrated on“focal adhesion”and“ECM-receptor interaction”,whereas DEGs with decreased expression were mostly associated with“gastric acid secretion”and“drug metabolism cytochrome P450”.MCODE and ClueGO results were then integrated to screen 10 hub genes,which were FN1,COL1A1,COL3A1,BGN,TIMP1,COL1A2,LUM,VCAN,COL5A2 and SPP1.Survival analysis revealed that higher expression of the ten hub genes significantly predicted lower overall survival of GC patients.TIMP1 was most significantly related to neutrophils,CD8+T cells,as well as dendritic cells,while LUM was most significantly related to macrophages.Conclusion Immunohistochemistry results and functional testing showed that the expression of COL5A2 was elevated in GC and that it might be a key gene in GC tumorigenesis.

Identification of ITGA3 as an Oncogene in Human Tongue Cancer via Integrated Bioinformatics Analysis

Human tongue cancer （TC） is an aggressive malignancy with a very poor prognosis. There is an urgent need to elucidate the underlying molecular mechanisms involved in TC progression, mRNA expression profiles play a vital role in the exploration of cancer-related genes. Therefore, the purpose of our study was to identify the progression associated candidate genes of TC by bioinformatics analysis. Five microarray datasets of TC samples were downloaded from the Gene Expression Onmibus （GEO） database and the data of 133 TC patients were screened from The Cancer Genome Atlas （TCGA） head and neck squamous cell carcinoma （HNSC） database. The integrated analysis of five microarray datasets and the RNA sequencing data of TC samples in TCGA-HNSC was performed to obtain 1023 overlapping differentially expressed genes （DEGs） in TC and adjacent normal tissue （ANT） samples. Next, Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway analysis was conducted to enrich the significant pathways of the 1023 DEGs and PI3K- Akt signaling pathway （P=0.011） was selected to be the candidate pathway. A total of 23 DEGs with ｜log2 fold change （FC）｜ ≥1.0 in phosphatidylinositol 3-kinase-serine/threonine kinase （PI3K-Akt） signaling pathway were subjected to survival analysis of 125 eligible TC samples in TCGA database, indicating increased integrin-α3 gene （ITGA3） expression was significantly associated with poorer prognosis. Taken together, our study suggested ITGA3 may facilitate the development of TC via activating PI3K-Akt signaling pathway.

Bioinformatics Analysis Raises Candidate Genes in Blood for Early Screening of Parkinson's Disease

Parkinson＇s disease （PD） is a typical degenerative disease, which is characterized by the most obvious symptoms of movement dysfunction, including shaking, rigidity, slowness of movement and difficulty in walking and gait. This disease can not be clearly identified through laboratory tests at present, thus application of high-throughput technique in studying the expression profiles of PD helps to find the genetic markers for its early diagnosis. Studies on expression profiles of neurodegenerative diseases have revealed the novel genes and pathways involved in the progress of illness. In this study, the expression profiles of PD in blood were compared, showing that 181 differentially expressed genes （DEG） exhibit a similar expression trend both in patients and in normal controls.

TopoisomeraseⅡαGene as a Marker for Prognostic Prediction of Hepatocellular Carcinoma:A Bioinformatics Analysis

Objective To investigate the expression of topoisomeraseⅡα(TOP2α)in hepatocellular carcinoma(HCC)and its role in predicting prognosis of HCC patients.Methods We used HCC-related datasets in UALCAN,HCCDB,and cBioPortal databases to analyze the expression and mutation of TOP2αand its co-expressed genes in HCC tissues.GO function and KEGG pathway enrichment of TOP2αand its co-expressed genes were identified.The TIMER database was used to analyze infiltration levels of immune cells in HCC.The impacts of TOP2αand its co-expression genes and the infiltrated immune cells on the survival of HCC patients were assayed by Kaplan-Meier plotter analysis.Results TOP2αand its co-expression genes were highly expressed in HCC(P<0.001)and detrimental to overall survival of HCC patients(P<0.001).TOP2αand its co-expression genes were mainly involved in cell mitosis and proliferation,and cell cycle pathway(ID:hsa04110,P=0.001945).TOP2αand its co-expression genes were mutated in HCC and the mutations were significantly detrimental to overall survival(P=0.0247)and disease-free survival(P=0.0265)of HCC patients.High TOP2αexpression was positively correlated with the infiltration of B cell(r=0.459,P<0.01),CD8^(+)T cell(r=0.312,P<0.01),CD4^(+)T cell(r=0.370,P<0.01),macrophage(r=0.459,P<0.01),neutrophil(r=0.405,P<0.01),and dendritic cell(r=0.473,P<0.01)in HCC.The CD8^(+)T cell infiltration significantly prolonged the 3-and 5-year survival of HCC patients(all P<0.05),and CD4^(+)T cell infiltration significantly shortened the 3-,5-,and 10-year survival of HCC patients(all P<0.05).Conclusion TOP2αmay be an oncogene,which was associated with poor prognosis of HCC patients and could be used as a biomarker for the prognostic prediction of HCC.

Prognostic role of expression of angiogenesis markers in hepatocellular carcinoma:A bioinformatics analysis

The expression of angiopoietin(ANGPT)1,ANGPT2,vascular endothelial growth factor(VEGF)A,VEGFB,VEGFC,VEGFD,and placental growth factor(PGF)is significantly higher in tumor tissues than in normal tissues in both unpaired and paired hepatocellular carcinoma(HCC)samples.ANGPT2,VEGFB,VEGFC,and PGF are primarily involved in regulating the activation of the epithelialmesenchymal transition pathway;ANGPT1 is primarily involved in regulating the activation of the RAS/mitogen-activated protein kinase and receptor tyrosine kinase(RTK)pathways;VEGFA is engaged in regulating the RTK activation pathway;and VEGFD is mainly involved in regulating the activation of the tuberous sclerosis protein/mammalian target of rapamycin pathway.There is a significant difference in overall survival between HCC patients with high and low expression of ANGPT2,PGF,VEGFA,and VEGFD.Disease free survival(DFS)is significantly shorter in HCC patients with high ANGPT2,PGF,and VEGFA expression than in those with low ANGPT2,PGF,and VEGFA expression.