Search results for "Protein Interaction Map"

showing 10 items of 80 documents

Phylostratic Shift of Whole-Genome Duplications in Normal Mammalian Tissues towards Unicellularity Is Driven by Developmental Bivalent Genes and Reve…

2020

Tumours were recently revealed to undergo a phylostratic and phenotypic shift to unicellularity. As well, aggressive tumours are characterized by an increased proportion of polyploid cells. In order to investigate a possible shared causation of these two features, we performed a comparative phylostratigraphic analysis of ploidy-related genes, obtained from transcriptomic data for polyploid and diploid human and mouse tissues using pairwise cross-species transcriptome comparison and principal component analysis. Our results indicate that polyploidy shifts the evolutionary age balance of the expressed genes from the late metazoan phylostrata towards the upregulation of unicellular and early m…

CarcinogenesisCircadian clockAntineoplastic AgentsBiologyGenomeArticleCatalysisBivalent (genetics)Epigenesis Geneticlcsh:ChemistryProto-Oncogene Proteins c-mycInorganic ChemistryTranscriptomeMicePolyploidGene DuplicationNeoplasmsProtein Interaction MappingAnimalsHumanscancerEpigeneticsPhysical and Theoretical Chemistrylcsh:QH301-705.5Molecular BiologyGenepolyploidybivalent genesSpectroscopyGeneticsGenomePloidiesCircadian Rhythm Signaling Peptides and ProteinsOrganic Chemistryearly multicellularityviral-origin oncogenesOncogenesGeneral MedicineembryonalityPhenotypeNeoplasm ProteinsunicellularityComputer Science ApplicationsGene Expression Regulation Neoplasticlcsh:Biology (General)lcsh:QD1-999Drug Resistance NeoplasmMetabolic Networks and PathwaysInternational Journal of Molecular Sciences
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Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation

2012

Gene expression profiles can be used to infer previously unknown transcriptional regulatory interaction among thousands of genes, via systems biology 'reverse engineering' approaches. We 'reverse engineered' an embryonic stem (ES)-specific transcriptional network from 171 gene expression profiles, measured in ES cells, to identify master regulators of gene expression ('hubs'). We discovered that E130012A19Rik (E13), highly expressed in mouse ES cells as compared with differentiated cells, was a central 'hub' of the network. We demonstrated that E13 is a protein-coding gene implicated in regulating the commitment towards the different neuronal subtypes and glia cells. The overexpression and …

Chromosomal Proteins Non-HistoneCellular differentiationNeurogenesisNerve Tissue ProteinsBiologyCell LineMiceGene expressionProtein Interaction MappingGeneticsTranscriptional regulationmedicineAnimalsGene Regulatory NetworksTransgenesEmbryonic Stem CellsGene Expression ProfilingSystems BiologyNeurogenesisBrainComputational BiologyEmbryonic stem cellCell biologyGene expression profilingmedicine.anatomical_structurenervous systemNeuron differentiationNeurogliaTranscriptome
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Transcriptome and metabolome analysis of citrus fruit to elucidate puffing disorder.

2014

a b s t r a c t A systems-level analysis reveals details of molecular mechanisms underlying puffing disorder in Citrus fruit. Flavedo, albedo and juice sac tissues of normal fruits and fruits displaying symptoms of puffing disorder were studied using metabolomics at three developmental stages. Microarrays were used to compare normal and puffed fruits for each of the three tissues. A protein-protein interaction network inferred from previous work on Arabidopsis identified hub proteins whose transcripts show significant changes in expression. Glycolysis, the backbone of primary metabolism, appeared to be severely affected by the disorder, based on both transcriptomic and metabolomic results. …

CitrusPlant ScienceBiologyTranscriptomechemistry.chemical_compoundMetabolomicsPlant Growth RegulatorsArabidopsisGeneticsMetabolomeBrassinosteroidMetabolomicsProtein Interaction MapsAbscisic acidOligonucleotide Array Sequence AnalysisPlant DiseasesAlbedo breakdown Citrus Fruit disorder Metabolomics Puffing TranscriptomicsGene Expression Profilingfood and beveragesGeneral Medicinebiology.organism_classificationchemistryBiochemistryFruitGibberellinCitric acidAgronomy and Crop ScienceSignal TransductionTranscription FactorsPlant science : an international journal of experimental plant biology
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Reliability of Virtual Screening Methods in Prediction of PDE4Binhibitor Activity

2015

Identification of active ligands using computational methods is a challenging task. For example, molecular docking, pharmacophore modeling, and three dimensional quantitative structure-activity relationship models (3D-QSAR) are widely used methods to identify novel small molecules. However, all these methods have, in addition to advantages, also significant pitfalls. The aim of this study was to compare some commonly used computational methods to estimate their ability to separate highly active PDE4B-inhibitors from less active and inactive ones. Here, 152 molecules with pIC 50 -range of 3.4-10.5, originating from six original studies were used. High correlation coefficients by using dockin…

Computer scienceQuantitative Structure-Activity RelationshipMultiple methodsLigandsComputers MolecularDrug DiscoveryProtein Interaction MappingHumansSimulationPharmacological Phenomenathree-dimensional quantitative structure-activity relationshipVirtual screeningbusiness.industryta1182Pattern recognitionmolecular dockingmolecular mechanics-generalized born-surface areavirtual screeningCyclic Nucleotide Phosphodiesterases Type 4Molecular Docking SimulationDocking (molecular)pharmacophore modelingArtificial intelligencePhosphodiesterase 4 InhibitorsPharmacophorebusinessphosphodiesteraseCurrent Drug Discovery Technologies
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MIPPIE: the mouse integrated protein–protein interaction reference

2020

Abstract Cells operate and react to environmental signals thanks to a complex network of protein–protein interactions (PPIs), the malfunction of which can severely disrupt cellular homeostasis. As a result, mapping and analyzing protein networks are key to advancing our understanding of biological processes and diseases. An invaluable part of these endeavors has been the house mouse (Mus musculus), the mammalian model organism par excellence, which has provided insights into human biology and disorders. The importance of investigating PPI networks in the context of mouse prompted us to develop the Mouse Integrated Protein–Protein Interaction rEference (MIPPIE). MIPPIE inherits a robust infr…

Computer scienceved/biology.organism_classification_rank.speciesprotein-protein interactionsCellular homeostasisContext (language use)Computational biologycomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyProtein–protein interaction03 medical and health sciencesMice0302 clinical medicineProtein Interaction MappingMus musculusAnimalsProtein Interaction MapsModel organismDatabases Proteinmousedatabase030304 developmental biology0303 health sciencesved/biologyComputational BiologyComplex networkprotein interaction networkOriginal ArticleWeb serviceUser interfaceGeneral Agricultural and Biological SciencesProtein networkcomputer030217 neurology & neurosurgerySoftwareInformation SystemsDatabase: The Journal of Biological Databases and Curation
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Aneuploid IMR90 cells induced by depletion of pRB, DNMT1 and MAD2 show a common gene expression signature

2019

Chromosome segregation defects lead to aneuploidy which is a major feature of solid tumors. How diploid cells face chromosome mis-segregation and how aneuploidy is tolerated in tumor cells are not completely defined yet. Thus, an important goal of cancer genetics is to identify gene networks that underlie aneuploidy and are involved in its tolerance. To this aim, we induced aneuploidy in IMR90 human primary cells by depleting pRB, DNMT1 and MAD2 and analyzed their gene expression profiles by microarray analysis. Bioinformatic analysis revealed a common gene expression profile of IMR90 cells that became aneuploid. Gene Set Enrichment Analysis (GSEA) also revealed gene-sets/pathways that are …

DNA (Cytosine-5-)-Methyltransferase 1AneuploidyBiologyMicroarrayReal-Time Polymerase Chain ReactionRetinoblastoma ProteinCell LineRNA interferenceGene expressionProtein Interaction MappingGeneticsmedicineHumansGeneOligonucleotide Array Sequence AnalysisMicroarray analysis techniquesGene Expression ProfilingBioinformatics analysiChromosomeFibroblastsmedicine.diseaseAneuploidyGene Expression RegulationRNAiMad2 ProteinsDNMT1Cancer researchKIF4ARNA InterferenceTranscriptomeIMR90 human fibroblast
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Interaction with OGG1 Is Required for Efficient Recruitment of XRCC1 to Base Excision Repair and Maintenance of Genetic Stability after Exposure to O…

2015

International audience; XRCC1 is an essential protein required for the maintenance of genomic stability through its implication in DNA repair. The main function of XRCC1 is associated with its role in the single-strand break (SSB) and base excision repair (BER) pathways that share several enzymatic steps. We show here that the polymorphic XRCC1 variant R194W presents a defect in its interaction with the DNA glycosylase OGG1 after oxidative stress. While proficient for single-strand break repair (SSBR), this variant does not colocalize with OGG1, reflecting a defect in its involvement in BER. Consistent with a role of XRCC1 in the coordination of the BER pathway, induction of oxidative base …

DNA RepairDNA repairCHO CellsOxidative phosphorylation[SDV.BC.BC]Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC]Biologymedicine.disease_causePolymorphism Single NucleotideDNA-binding proteinCell LineDNA GlycosylasesXRCC1Cricetulusmedicine[SDV.BC.BC] Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC]AnimalsHumansProtein Interaction Maps[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]Molecular Biology[SDV.BBM.BC] Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]GeneticsArticlesCell BiologyBase excision repairDNA-Binding ProteinsOxidative StressX-ray Repair Cross Complementing Protein 1DNA glycosylaseGene DeletionOxidative stressNucleotide excision repair
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A knowledge-based decision support system in bioinformatics: An application to protein complex extraction

2013

Abstract Background We introduce a Knowledge-based Decision Support System (KDSS) in order to face the Protein Complex Extraction issue. Using a Knowledge Base (KB) coding the expertise about the proposed scenario, our KDSS is able to suggest both strategies and tools, according to the features of input dataset. Our system provides a navigable workflow for the current experiment and furthermore it offers support in the configuration and running of every processing component of that workflow. This last feature makes our system a crossover between classical DSS and Workflow Management Systems. Results We briefly present the KDSS' architecture and basic concepts used in the design of the knowl…

Decision support systemSaccharomyces cerevisiae ProteinsComputer scienceKnowledge BasesCrossovercomputer.software_genreBioinformaticslcsh:Computer applications to medicine. Medical informaticsBiochemistryDecision Support TechniquesWorkflowSoftwareknowledge base; decision support systemStructural BiologyArtificial IntelligenceProtein Interaction MappingPreprocessorCluster analysisMolecular Biologylcsh:QH301-705.5Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryApplied MathematicsResearchComputational BiologyComputer Science ApplicationsWorkflowKnowledge baselcsh:Biology (General)Multiprotein Complexesprotein complex extractionlcsh:R858-859.7Data miningbusinesscomputerWorkflow management systemAlgorithmsSoftware
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Inhibitory activities of short linear motifs underlie Hox interactome specificity in vivo

2015

Hox proteins are well-established developmental regulators that coordinate cell fate and morphogenesis throughout embryogenesis. In contrast, our knowledge of their specific molecular modes of action is limited to the interaction with few cofactors. Here, we show that Hox proteins are able to interact with a wide range of transcription factors in the live Drosophila embryo. In this context, specificity relies on a versatile usage of conserved short linear motifs (SLiMs), which, surprisingly, often restrains the interaction potential of Hox proteins. This novel buffering activity of SLiMs was observed in different tissues and found in Hox proteins from cnidarian to mouse species. Although th…

Embryo Nonmammalian[SDV]Life Sciences [q-bio]Amino Acid MotifsinteractomeInteractomeBimolecular fluorescence complementationMiceTARGET GENEDrosophila ProteinsCELL REGULATIONProtein Interaction MapsBiology (General)Hox genetranscription factorGeneticsD. melanogasterGeneral NeuroscienceQRINTERACTION MODULESGeneral MedicineREGIONSHoxTRANSCRIPTION FACTORSDrosophila melanogasterGenomics and Evolutionary BiologyOrgan Specificityembryonic structuresMedicineOligopeptidesProtein BindingResearch Articleanimal structuresQH301-705.5ScienceembryoContext (language use)Computational biology[SDV.BC]Life Sciences [q-bio]/Cellular BiologyCell fate determinationBiologyBinding CompetitiveGeneral Biochemistry Genetics and Molecular BiologyFluorescenceProtein–protein interactionEvolution MolecularStructure-Activity Relationship[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyAnimalsShort linear motif[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyBiFCTranscription factor[SDV.BC] Life Sciences [q-bio]/Cellular BiologydevelopmentHomeodomain ProteinsABDOMINAL-AGeneral Immunology and MicrobiologyBIMOLECULAR FLUORESCENCE COMPLEMENTATIONREPRESSIONDNAPROTEIN INTERACTIONSIntrinsically Disordered ProteinsDROSOPHILA-MELANOGASTERMutationeLife
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Network pharmacology of cancer: From understanding of complex interactomes to the design of multi-target specific therapeutics from nature

2015

Despite massive investments in drug research and development, the significant decline in the number of new drugs approved or translated to clinical use raises the question, whether single targeted drug discovery is the right approach. To combat complex systemic diseases that harbour robust biological networks such as cancer, single target intervention is proved to be ineffective. In such cases, network pharmacology approaches are highly useful, because they differ from conventional drug discovery by addressing the ability of drugs to target numerous proteins or networks involved in a disease. Pleiotropic natural products are one of the promising strategies due to their multi-targeting and d…

EpigenomicsProteomics0301 basic medicineDrugmedia_common.quotation_subjectSystems biologyGene regulatory networkSynthetic lethalityDiseaseComputational biologyBiologyPharmacology03 medical and health sciencesNeoplasmsDrug DiscoveryBiomarkers TumormedicineAnimalsHumansMetabolomicsGene Regulatory NetworksMolecular Targeted TherapyProtein Interaction Mapsmedia_commonPharmacologyPlants MedicinalDrug discoveryGene Expression ProfilingSystems BiologyCancermedicine.diseaseAntineoplastic Agents PhytogenicGene Expression Regulation Neoplastic030104 developmental biologyBiological networkPhytotherapySignal TransductionPharmacological Research
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