OBJECTIVES: Hepatocellular carcinoma is one of the most common primary malignant tumors with the third highest mortality rate worldwide. This study aims to identify key genes associated with hepatocellular carcinoma prognosis using the Gene Expression Omnibus (GEO) database and provide a theoretical basis for discovering novel prognostic biomarkers for hepatocellular carcinoma. METHODS: Hepatocellular carcinoma-related datasets were retrieved from the GEO database. Differentially expressed genes (DEGs) were identified using the GEO2R tool. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). A protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), and key genes were identified using Cytoscape software. The University of Alabama at Birmingham Cancer Data Analysis Resource (UALCAN) was used to analyze the expression levels of key genes in normal and hepatocellular carcinoma tissues, as well as their associations with pathological grade, clinical stage, and patient survival. The Human Protein Atlas (THPA) was used to further validate the impact of key genes on overall survival. Expression levels of key genes in the blood of hepatocellular carcinoma patients were evaluated using the expression atlas of blood-based biomarkers in the early diagnosis of cancers (BBCancer). RESULTS: A total of 78 DEGs were identified from the GEO database. GO and KEGG analyses indicated that these genes may contribute to hepatocellular carcinoma progression by promoting cell division and regulating protein kinase activity. Sixteen key genes were screened via Cytoscape and validated using UALCAN and THPA. These genes were overexpressed in hepatocellular carcinoma tissues and were associated with disease progression and poor prognosis. Finally, BBCancer analysis showed that ASPM and NCAPG were also elevated in the blood of hepatocellular carcinoma patients. CONCLUSIONS This study identified 16 key genes as potential prognostic biomarkers for hepatocellular carcinoma, among which ASPM and NCAPG may serve as promising blood-based markers for hepatocellular carcinoma.
Humans ; Carcinoma, Hepatocellular/mortality* ; Liver Neoplasms/pathology* ; Prognosis ; Computational Biology/methods* ; Protein Interaction Maps/genetics* ; Biomarkers, Tumor/genetics* ; Gene Expression Regulation, Neoplastic ; Gene Expression Profiling ; Gene Ontology ; Databases, Genetic

OBJECTIVES: To explore ferroptosis-related genes in osteoporosis through bioinformatic analysis and in vitro study. METHODS: Osteoporosis-related genes were identified from dataset GSE35958 in the Gene Expression Omnibus database; and the ferroptosis-related genes were identified from the FerrDb database. These were intersected with the differentially expressed genes in GSE35958 to obtain ferroptosis-related genes in osteoporosis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed for the differentially expressed genes. And Spearman correlation and protein-protein interaction network analysis were performed. Then, the hub genes of ferroptosis in osteoporosis were screened by Degree, MNC, EPC, MCC and DMNC in Cytoscape software CytoHubba plugin; and analyzed with receiver operating characteristic (ROC) curves. The bone marrow mesenchymal stem cells from osteoporosis patients (osteoporosis group) and non-osteoporosis patients (control group) were subjected to quantitative reverse transcription polymerase chain reaction to detect the messenger RNA expression of ferroptosis hub genes in both groups. RESULTS: A total of 32 differentially expressed genes related to ferroptosis in osteoporosis were identified, including 26 up-regulated genes and 6 down-regulated genes. GO enrichment analysis showed that the identified genes were mainly involved in intercellular adhesion, lipid metabolism and cytokine response. KEGG enrichment analysis showed that the genes were mainly involved in signaling pathways of adhesive plaques, MAPK, PI3K-Akt, and Wnt. Spearman correlation analysis showed correlation among differentially expressed genes. Six hub genes for ferroptosis in osteoporosis were obtained, namely MAPK3, CDKN1A, MAP1LC3A, TNF, RELA, and TGF-β1. ROC curve analysis showed that these hub genes had good diagnostic performance in osteoporosis and may become potential biomarkers of osteoporosis. In vitro experiments confirmed significant differences in these hub genes between the control group and the osteoporosis group (all P<0.05). CONCLUSIONS This study has identified six ferroptosis-related hub genes in osteoporosis, which may be used as novel biomarkers for the early diagnosis and treatment of osteoporosis.
Osteoporosis/genetics* ; Humans ; Computational Biology ; Ferroptosis/genetics* ; Protein Interaction Maps/genetics* ; Gene Ontology ; Mesenchymal Stem Cells/metabolism* ; Gene Expression Profiling ; Databases, Genetic

Shotgun based proteomics and peptidomics analysis were used to investigate the proteins and peptides in marine traditional Chinese medicine(TCM) Sepiae Endoconcha(cuttlebone). Peptides were extracted from cuttlebone by acidified methanol, and then strong cation exchange(SCX) resin was used to enrich those peptides. Also, proteins from cuttlebone were extracted and digested by trypsin. nano-LC Q Exactive Orbitrap mass spectrometry was used to analyze proteins and peptides from cuttlebone. As a result, a total of 16 proteins and 168 peptides were identified by protein database search, and 328 peptides were identified by De novo sequencing. The identified proteins were hemocyanin, enolase, myosin, actin, calmodulin, etc., and the identified peptides were derived from actin, histone, and tubulin. All these proteins and peptides were important components in cuttlebone, which would provide important theoretical and research basis for marine TCM cuttlebone investigations.
Cations ; Databases, Protein ; Mass Spectrometry ; Peptides ; Proteomics

The aim of this paper was to screen the active targets of Schizonepetae Herba and Saposhnikoviae Radix in the treatment of ulcerative colitis by means of network pharmacology,and to investigate their mechanism of action. The effective components of Schizonepetae Herba and Saposhnikoviae Radix were screened out by traditional Chinese medicine systematic pharmacological( TCMSP)database,with oral bioavilability( OB) ≥30% and drug-like( DL) ≥18% selected as the thresholds. Target PPI network was built between the main components and their corresponding targets. One hundred and eighty-two human genes corresponding to the medicine target sites were obtained from Uniprot database; 3 874 genes corresponding to ulcerative colitis were obtained from Genecard database.A total of 115 intersection genes were screened from disease genes and medicine genes,and the PPI interaction analysis was conducted by using String tool. Disease-target PPI network was drawn by using Cytoscape software,and component-target-disease network was constructed. One hundred and eight nodes and 1 882 connections were found,and then Cytoscape software was used to merge the networks and filter the core network for gene GO function analysis and KEGG pathway enrichment analysis. The mechanism of Schizonepetae Herba and Saposhnikoviae Radix was then verified by animal experiment. Gene GO functional analysis suggested that biological process,molecular functions and cell components were involved,and it was found that ulcerative colitis might be related to transcription factor activity,and cytokine receptor binding,etc. Gene KEGG pathway enrichment analysis showed that the mechanism of ulcerative colitis might be associated with TNF and Toll-like receptors( TLRs) signaling pathway-mediated cytoinflammatory factors interleukin-1( IL-1) and interleukin-6( IL6). The possible mechanism of the effective components of Schizonepetae Herba and Saposhnikoviae Radix in treating ulcerative colitis might be related to intervening the cytokine receptor binding of TNF and TLRs signaling pathways,reducing the transcription of nuclear factor-kappaB( NF-κB),and inhibiting the secretion of intestinal inflammatory factors IL-1 and IL-6.
Animals ; Apiaceae/chemistry* ; Colitis, Ulcerative/drug therapy* ; Databases, Genetic ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Interleukins/metabolism* ; Lamiaceae/chemistry* ; Medicine, Chinese Traditional ; Phytotherapy ; Plant Roots/chemistry* ; Protein Interaction Mapping ; Signal Transduction ; Software ; Toll-Like Receptors/metabolism*

In this study, bioinformatics methods such as molecular docking and network pharmacology were adopted to establish Xiaoxuming Decoction (XXMD) "compound-vasodilatory and vasoconstrictory related G protein-coupled receptors (GPCR) targets" network, then the vascular function regulatory effective components and the potential targets of XXMD were analyzed. Based on the XXMD herb sources, the chemical structures of the compounds were retrieved from the national scientific data sharing platform for population and health pharmaceutical information center, TCMSP database and the latest research literatures. The chemical molecular library was established after class prediction and screening for medicinal and metabolic properties. Then, five kinds of vasodilatory and vasoconstrictory related GPCR crystal structure including 5-HT receptors (5-HT1AR, 5-HT1BR), AT1R, β2-AR, hUTR and ETB were retrieved from RCSB Protein Data Bank database or constructed by homology modeling of Discovery Studio 4.1 built-in modeling tools. After virtual screening by Libdock molecular docking, the highest rated 50 compounds of each target were collected and analyzed. The collected data were further used to construct and analyze the network by Cytoscape 3.4.0. The results showed that most of the chemical composition effects were associated with different vasodilatory and vasoconstrictory related GPCR targets, while a few effective components could be applied to multiple GPCR targets at the same time, therefore forming synergies and vasorelaxant effects of XXMD.
Databases, Protein ; Drugs, Chinese Herbal ; Models, Chemical ; Molecular Docking Simulation ; Receptors, G-Protein-Coupled ; metabolism ; Vasodilation

Various posttranslational modifications (PTMs) participate in nearly all aspects of biological processes by regulating protein functions, and aberrant states of PTMs are frequently implicated in human diseases. Therefore, an integral resource of PTM-disease associations (PDAs) would be a great help for both academic research and clinical use. In this work, we reported PTMD, a well-curated database containing PTMs that are associated with human diseases. We manually collected 1950 known PDAs in 749 proteins for 23 types of PTMs and 275 types of diseases from the literature. Database analyses show that phosphorylation has the largest number of disease associations, whereas neurologic diseases have the largest number of PTM associations. We classified all known PDAs into six classes according to the PTM status in diseases and demonstrated that the upregulation and presence of PTM events account for a predominant proportion of disease-associated PTM events. By reconstructing a disease-gene network, we observed that breast cancers have the largest number of associated PTMs and AKT1 has the largest number of PTMs connected to diseases. Finally, the PTMD database was developed with detailed annotations and can be a useful resource for further analyzing the relations between PTMs and human diseases. PTMD is freely accessible at http://ptmd.biocuckoo.org.
Databases, Protein ; Disease ; genetics ; Gene Regulatory Networks ; Humans ; Phosphorylation ; Protein Processing, Post-Translational ; Proteins ; metabolism ; Search Engine

Tumor-specific neoantigens have attracted much attention since they can be used as biomarkers to predict therapeutic effects of immune checkpoint blockade therapy and as potential targets for cancer immunotherapy. In this study, we developed a comprehensive tumor-specific neoantigen database (TSNAdb v1.0), based on pan-cancer immunogenomic analyses of somatic mutation data and human leukocyte antigen (HLA) allele information for 16 tumor types with 7748 tumor samples from The Cancer Genome Atlas (TCGA) and The Cancer Immunome Atlas (TCIA). We predicted binding affinities between mutant/wild-type peptides and HLA class I molecules by NetMHCpan v2.8/v4.0, and presented detailed information of 3,707,562/1,146,961 potential neoantigens generated by somatic mutations of all tumor samples. Moreover, we employed recurrent mutations in combination with highly frequent HLA alleles to predict potential shared neoantigens across tumor patients, which would facilitate the discovery of putative targets for neoantigen-based cancer immunotherapy. TSNAdb is freely available at http://biopharm.zju.edu.cn/tsnadb.
Antigens, Neoplasm ; metabolism ; Data Analysis ; Databases, Genetic ; Humans ; Immunotherapy ; Mutation ; genetics ; Neoplasms ; genetics ; immunology ; Tumor Suppressor Protein p53 ; genetics ; Urinary Bladder Neoplasms ; genetics

Actinobacillus pleuropneumoniae is a Gram-negative bacterium that resides in the respiratory tract of pigs and causes porcine respiratory disease complex, which leads to significant losses in the pig industry worldwide. The incidence of drug resistance in this bacterium is increasing; thus, identifying new protein/gene targets for drug and vaccine development is critical. In this study, we used an in silico approach, utilizing several databases including the Kyoto Encyclopedia of Genes and Genomes (KEGG), the Database of Essential Genes (DEG), DrugBank, and Swiss-Prot to identify non-homologous essential genes and prioritize these proteins for their druggability. The results showed 20 metabolic pathways that were unique and contained 273 non-homologous proteins, of which 122 were essential. Of the 122 essential proteins, there were 95 cytoplasmic proteins and 11 transmembrane proteins, which are potentially suitable for drug and vaccine targets, respectively. Among these, 25 had at least one hit in DrugBank, and three had similarity to metabolic proteins from Mycoplasma hyopneumoniae, another pathogen causing porcine respiratory disease complex; thus, they could serve as common therapeutic targets. In conclusion, we identified glyoxylate and dicarboxylate pathways as potential targets for antimicrobial therapy and tetra-acyldisaccharide 4′-kinase and 3-deoxy-D-manno-octulosonic-acid transferase as vaccine candidates against A. pleuropneumoniae.
Actinobacillus pleuropneumoniae ; Actinobacillus ; Computer Simulation ; Cytoplasm ; Databases, Protein ; Drug Resistance ; Genes, Essential ; Genome ; Genomics ; Incidence ; Metabolic Networks and Pathways ; Mycoplasma hyopneumoniae ; Pleuropneumonia ; Respiratory System ; Swine ; Transferases

This paper proposes a method based on quaternion for characterization a helix of proteins. The method defines the parameter called Quaternion Helix Axis Spherical Distance (QHASD) on the basis of mapping protein Cα frames' helical axis onto a unit sphere, and uses QHASD to characterize the a helix of the protein secondary structure. Application of this method has been verified based on the PDBselect database, with an a helix characterization accuracy of 91.7%. This method possesses significant advantages of high detection accuracy, low computation and clear geometric significance.
Algorithms ; Databases, Protein ; Models, Molecular ; Protein Structure, Secondary ; Proteins ; chemistry

Multiple therapeutic modalities are available for hepatocellular carcinoma (HCC) treatment. We aimed to evaluate the trends for HCC treatment in Korea. Recent trends and patterns in treatment modalities were assessed in HCC patients who first registered for the Health Insurance Review Assessment Service between 2008 and 2012. From 2009 to 2012, 57,690 patients were diagnosed with HCC. Transcatheter arterial chemoembolization (TACE) was the most common treatment modality for initial treatment. Curative treatment modalities like hepatic resection, liver transplantation, and local ablation therapy increased gradually. The 3 most common treatment modalities (hepatic resection, local ablation therapy, TACE) used after initial treatment in 2009 were studied. Following initial hepatic resection, 44.5% of patients required re-treatment. TACE was the most common modality (in 48.3% of cases), while 15.0% of patients received local ablation therapy. After local ablation therapy, 55.4% of patients were re-treated, wherein 45.0% of patients received TACE and 31.5% received local ablation therapy. Following initial TACE, 73.9% patients were re-treated, most commonly with TACE (57.7%) followed by local ablation therapy (12.8%). While there were no significant differences between the initial and re-treatment modalities, various multiple treatments followed the initial treatment. The treatment modalities were interchangeable.
Aged ; Carcinoma, Hepatocellular/epidemiology/pathology/*therapy ; Chemoembolization, Therapeutic ; Combined Modality Therapy/trends ; Cross-Sectional Studies ; Databases, Factual ; Female ; Humans ; Insurance Claim Review ; Liver Neoplasms/epidemiology/pathology/*therapy ; Liver Transplantation ; Male ; Middle Aged ; Niacinamide/administration & dosage/analogs & derivatives ; Phenylurea Compounds/administration & dosage ; Prevalence ; Protein Kinase Inhibitors/administration & dosage ; Republic of Korea/epidemiology