AnatomyOrganismsDiseasesChemicals and DrugsAnalytical, Diagnostic and Therapeutic Techniques and EquipmentPsychiatry and PsychologyPhenomena and ProcessesDisciplines and OccupationsTechnology, Industry, AgricultureHumanitiesInformation ScienceHealth Care
Gene OntologyVocabulary, ControlledDatabases, GeneticMolecular Sequence AnnotationGene Expression ProfilingTerminology as TopicComputational BiologyInformation Storage and RetrievalSoftwareDatabase Management SystemsUser-Computer InterfaceOligonucleotide Array Sequence AnalysisNatural Language ProcessingInternetDatabases, ProteinTranscriptomeExpressed Sequence TagsAlgorithmsSemanticsGenomicsCluster AnalysisAnatomyDocumentationSystems IntegrationData MiningProteinsProtein Interaction MappingDatabases, FactualGene Regulatory NetworksComputer GraphicsProgramming LanguagesPubMedKnowledge BasesArtificial IntelligenceBiological ProcessesProteomeProtein Interaction MapsGenesProteomicsSequence Analysis, ProteinClassificationGene LibraryGenomeMicroarray AnalysisPattern Recognition, AutomatedUnified Medical Language SystemGene Expression RegulationAbstracting and Indexing as TopicDatabases, Nucleic AcidGenes, PlantHypermediaSequence Analysis, DNAGenome, PlantInformation ScienceReproducibility of ResultsGenome, FungalSystematized Nomenclature of MedicineMedical Subject HeadingsMetabolic Networks and PathwaysBiologyInformaticsHigh-Throughput Nucleotide SequencingModels, GeneticSoftware DesignSequence Analysis, RNADiseaseSearch EngineGenome, HumanGene Expression Regulation, PlantMEDLINEDictionaries as TopicPhenotypeData Interpretation, StatisticalGene ExpressionMedical InformaticsToxicogeneticsReverse Transcriptase Polymerase Chain ReactionSystems BiologyPhylogenyContig MappingSignal TransductionMultigene FamilySequence AlignmentDatabases as TopicComputer SimulationChromosome MappingKnowledgeLogicHost-Pathogen InteractionsBiological OntologiesNeuroanatomyModels, BiologicalRNA, MessengerMicroRNAsPrincipal Component AnalysisGenes, NeoplasmOomycetesTranscription, GeneticModels, StatisticalSaccharomyces cerevisiae

Large deletions in the pAtC58 megaplasmid of Agrobacterium tumefaciens can confer reduced carriage cost and increased expression of virulence genes. (49/220)

 (+info)

ToP: a trend-of-disease-progression procedure works well for identifying cancer genes from multi-state cohort gene expression data for human colorectal cancer. (50/220)

 (+info)

Competition between virus-derived and endogenous small RNAs regulates gene expression in Caenorhabditis elegans. (51/220)

 (+info)

Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding. (52/220)

 (+info)

A context-sensitive framework for the analysis of human signalling pathways in molecular interaction networks. (53/220)

 (+info)

Information-theoretic evaluation of predicted ontological annotations. (54/220)

 (+info)

New insight into genes in association with asthma: literature-based mining and network centrality analysis. (55/220)

BACKGROUND: Asthma is a heterogeneous disease for which a strong genetic basis has been firmly established. Until now no studies have been undertaken to systemically explore the network of asthma-related genes using an internally developed literature-based discovery approach. This study was to explore asthma-related genes by using literature-based mining and network centrality analysis. METHODS: Literature involving asthma-related genes were searched in PubMed from 2001 to 2011. Integration of natural language processing with network centrality analysis was used to identify asthma susceptibility genes and their interaction network. Asthma susceptibility genes were classified into three functional groups by gene ontology (GO) analysis and the key genes were confirmed by establishing asthma-related networks and pathways. RESULTS: Three hundred and twenty-six genes related with asthma such as IGHE (IgE), interleukin (IL)-4, 5, 6, 10, 13, 17A, and tumor necrosis factor (TNF)-alpha were identified. GO analysis indicated some biological processes (developmental processes, signal transduction, death, etc.), cellular components (non-structural extracellular, plasma membrane and extracellular matrix), and molecular functions (signal transduction activity) that were involved in asthma. Furthermore, 22 asthma-related pathways such as the Toll-like receptor signaling pathway, hematopoietic cell lineage, JAK-STAT signaling pathway, chemokine signaling pathway, and cytokine-cytokine receptor interaction, and 17 hub genes, such as JAK3, CCR1-3, CCR5-7, CCR8, were found. CONCLUSIONS: Our study provides a remarkably detailed and comprehensive picture of asthma susceptibility genes and their interacting network. Further identification of these genes and molecular pathways may play a prominent role in establishing rational therapeutic approaches for asthma.  (+info)

Layered signaling regulatory networks analysis of gene expression involved in malignant tumorigenesis of non-resolving ulcerative colitis via integration of cross-study microarray profiles. (56/220)

 (+info)