Search results for "Molecular Sequence Annotation"

showing 10 items of 46 documents

Effects of different kinds of essentiality on sequence evolution of human testis proteins

2016

We asked if essentiality for either fertility or viability differentially affects sequence evolution of human testis proteins. Based on murine knockout data, we classified a set of 965 proteins expressed in human seminiferous tubules into three categories: proteins essential for prepubertal survival (“lethality proteins”), associated with male sub- or infertility (“male sub-/infertility proteins”), and nonessential proteins. In our testis protein dataset, lethality genes evolved significantly slower than nonessential and male sub-/infertility genes, which is in line with other authors’ findings. Using tissue specificity, connectivity in the protein-protein interaction (PPI) network, and mul…

MaleGene Expression ProfilingComputational BiologyProteinsMolecular Sequence AnnotationSeminiferous TubulesArticle570 Life sciencesEvolution MolecularMiceOrgan SpecificityProtein Interaction MappingTestisAnimalsHumansGene Regulatory NetworksProtein Interaction MapsSpermatogenesisTranscriptomeInfertility Male570 BiowissenschaftenScientific Reports
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Gene expression profiles of metabolic aggressiveness and tumor recurrence in benign meningioma.

2013

Around 20% of meningiomas histologically benign may be clinically aggressive and recur. This strongly affects management of meningioma patients. There is a need to evaluate the potential aggressiveness of an individual meningioma. Additional criteria for better classification of meningiomas will improve clinical decisions as well as patient follow up strategy after surgery. The aim of this study was to determine the relationship between gene expression profiles and new metabolic subgroups of benign meningioma with potential clinical relevance. Forty benign and fourteen atypical meningioma tissue samples were included in the study. We obtained metabolic profiles by NMR and recurrence after s…

MalePathologyNon-Clinical MedicineAngiogenesisGene Expressionlcsh:MedicineTranscriptomeGene expressionMolecular Cell BiologyPathologyMeningeal NeoplasmsCluster Analysislcsh:ScienceNeurological TumorsNeuropathologyAged 80 and overMultidisciplinaryLIM Domain ProteinsMiddle AgedUp-RegulationGene Expression Regulation NeoplasticReal-time polymerase chain reactionOncologyMedicineFemaleMeningiomaResearch ArticleAdultmedicine.medical_specialtyBiologyReal-Time Polymerase Chain ReactionMeningiomaDiagnostic MedicinemedicineGeneticsCancer Detection and DiagnosisBiomarkers Tumorotorhinolaryngologic diseasesHumansMeningeal NeoplasmClinical significanceBiologyneoplasmsAdaptor Proteins Signal TransducingAgedHealth Care Policylcsh:RHealth Risk AnalysisCancers and NeoplasmsMolecular Sequence Annotationmedicine.diseasenervous system diseasesAnatomical PathologyBenign Meningiomalcsh:QNeoplasm Recurrence LocalTranscriptomePLoS ONE
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Isolation and Characterization of Two Klebsiella pneumoniae Phages Encoding Divergent Depolymerases

2020

The emergence of multidrug-resistant bacteria is a major global health concern. The search for new therapies has brought bacteriophages into the spotlight, and new phages are being described as possible therapeutic agents. Among the bacteria that are most extensively resistant to current antibiotics is Klebsiella pneumoniae, whose hypervariable extracellular capsule makes treatment particularly difficult. Here, we describe two new K. pneumoniae phages, &pi

Models Molecular0301 basic medicineKlebsiellaPhage therapyKlebsiella pneumoniae<i>Klebsiella pneumoniae</i>virusesmedicine.medical_treatmentAntibioticsMolecular Conformationlcsh:ChemistryBacteriophagebacteriophagewide infection rangeBacteriophagesAntigens Virallcsh:QH301-705.5PhylogenySpectroscopybiologyGeneral Medicine3. Good healthComputer Science ApplicationsKlebsiella pneumoniaePhenotypephage therapyPhage therapymedicine.drug_class030106 microbiologyGenome ViralArticleHost SpecificityCatalysisMicrobiologyInorganic ChemistryViral Proteins03 medical and health sciencesPodoviridaeBacteriolysismedicineAmino Acid SequencePhysical and Theoretical ChemistryBacteriophageMolecular BiologyTropismWhole Genome SequencingOrganic ChemistryComputational BiologyGenetic VariationMolecular Sequence Annotationbiology.organism_classificationKlebsiella Infections030104 developmental biologylcsh:Biology (General)lcsh:QD1-999Wide infection rangeBacteriaInternational Journal of Molecular Sciences
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In Search of Pathogens: Transcriptome-Based Identification of Viral Sequences from the Pine Processionary Moth (Thaumetopoea pityocampa)

2015

Thaumetopoea pityocampa (pine processionary moth) is one of the most important pine pests in the forests of Mediterranean countries, Central Europe, the Middle East and North Africa. Apart from causing significant damage to pinewoods, T. pityocampa occurrence is also an issue for public and animal health, as it is responsible for dermatological reactions in humans and animals by contact with its irritating hairs. High throughput sequencing technologies have allowed the fast and cost-effective generation of genetic information of interest to understand different biological aspects of non-model organisms as well as the identification of potential pathogens. Using these technologies, we have o…

Pine processionary mothPPMCypovirusGenes ViralTurkeylcsh:QR1-502Biological pest controlZoologyMothsBiologyArticlelcsh:MicrobiologyDNA sequencingTranscriptomesTranscriptomecypovirusPhylogeneticsVirologyiflavirusAnimalsPhylogenyIllumina dye sequencingLarvaIflavirusEcologyComputational BiologyHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationRhabdovirusPinuspine processionary mothInfectious DiseasesLarvaViruses<i>Thaumatopoea pityocampa</i>Identification (biology)Thaumatopoea pityocampaIntegumentrhabdovirustranscriptomeViruses
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Using Deep Learning to Extrapolate Protein Expression Measurements

2020

Mass spectrometry (MS)-based quantitative proteomics experiments typically assay a subset of up to 60% of the ≈20 000 human protein coding genes. Computational methods for imputing the missing values using RNA expression data usually allow only for imputations of proteins measured in at least some of the samples. In silico methods for comprehensively estimating abundances across all proteins are still missing. Here, a novel method is proposed using deep learning to extrapolate the observed protein expression values in label-free MS experiments to all proteins, leveraging gene functional annotations and RNA measurements as key predictive attributes. This method is tested on four datasets, in…

ProteomicsIn silicoQuantitative proteomicsComputational biologyBiologyBiochemistryprotein abundance predictionMass SpectrometryProtein expressionMice03 medical and health sciencesDeep LearningAbundance (ecology)AnimalsMolecular BiologyGeneResearch Articles030304 developmental biologydeep learning networks0303 health sciencesUniProt keywordsbusiness.industryDeep learning030302 biochemistry & molecular biologyProteinsRNAMolecular Sequence AnnotationMissing dataGene OntologyArtificial intelligencebusinessResearch ArticlePROTEOMICS
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General Statistical Framework for Quantitative Proteomics by Stable Isotope Labeling

2014

Pedro J. Navarro et al.

ProteomicsSaccharomyces cerevisiae ProteinsProteomeQuantitative proteomicsGene Expressionstable isotope labelingSaccharomyces cerevisiaeyeastOxygen Isotopescomputer.software_genreBiochemistryStatistical powerInterpretation (model theory)statistical analysisStable isotope labeling by amino acids in cell cultureQuantitative proteomicsData MiningModels StatisticalChromatographyChemistryMolecular Sequence AnnotationHydrogen PeroxideGeneral ChemistryVariance (accounting)Isotope LabelingStable Isotope LabelingBiological systemNull hypothesiscomputerData integrationJournal of Proteome Research
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CiliaCarta: An integrated and validated compendium of ciliary genes

2019

The cilium is an essential organelle at the surface of mammalian cells whose dysfunction causes a wide range of genetic diseases collectively called ciliopathies. The current rate at which new ciliopathy genes are identified suggests that many ciliary components remain undiscovered. We generated and rigorously analyzed genomic, proteomic, transcriptomic and evolutionary data and systematically integrated these using Bayesian statistics into a predictive score for ciliary function. This resulted in 285 candidate ciliary genes. We generated independent experimental evidence of ciliary associations for 24 out of 36 analyzed candidate proteins using multiple cell and animal model systems (mouse…

ProteomicsSensory ReceptorsNematodaSocial SciencesCiliopathiesBiochemistrySensory disorders Donders Center for Medical Neuroscience [Radboudumc 12]Transcriptome0302 clinical medicineAnimal CellsPsychologyRETINAL PHOTORECEPTOR CELLSExomeNeurons0303 health sciences030302 biochemistry & molecular biologyEukaryotaGenomicsPRIMARY CILIUMthecilium3. Good healthNucleic acidsGenetic interferenceOsteichthyesMedicineEpigeneticsCellular Structures and OrganellesCellular Typesproteomic databasesSensory Receptor CellsScienceeducationCiliary genesLEBER CONGENITAL AMAUROSISGenomics03 medical and health sciencesGeneticsCiliaCaenorhabditis elegansIDENTIFICATIONMUTATIONSEmbryosciliaOrganismsBiology and Life SciencesBayes TheoremMolecular Sequence Annotationmedicine.diseaseInvertebratesFishciliary proteomeAnimal StudiesCaenorhabditisGene expressionembryos030217 neurology & neurosurgeryDevelopmental BiologyNeurosciencePhotoreceptorsCandidate geneEmbryologyOligonucleotidesMorpholinoDatabase and Informatics MethodsRNA interferenceBayesian classifierTRANSITION ZONEZebrafishAntisense OligonucleotidesZebrafishGeneticsMultidisciplinarySpectrometric Identification of ProteinsProteomic DatabasesNucleotidesCiliumQStable Isotope Labeling by Amino Acids in Cell CultureRphotoreceptorsMetabolic Disorders Radboud Institute for Molecular Life Sciences [Radboudumc 6]Animal ModelsPhenotypeINTRAFLAGELLAR TRANSPORTDIFFERENTIATIONPhenotypeExperimental Organism SystemsCaenorhabditis ElegansVertebratesSensory PerceptionResearch ArticleSignal TransductionEXPRESSIONStable isotope labeling by amino acids in cell cultureComputational biologyBiologyResearch and Analysis MethodsSOLUTE-CARRIER-PROTEINModel OrganismsmedicineAnimalsdata integration030304 developmental biologyAfferent NeuronsReproducibility of ResultsCell Biologyzebrafishbiology.organism_classificationCiliopathyRenal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11]Biological DatabasesCellular NeuroscienceRNAOSCP1CiliaCartaPLoS ONE
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BAG3 Proteomic Signature under Proteostasis Stress

2020

The multifunctional HSP70 co-chaperone BAG3 (BCL-2-associated athanogene 3) represents a key player in the quality control of the cellular proteostasis network. In response to stress, BAG3 specifically targets aggregation-prone proteins to the perinuclear aggresome and promotes their degradation via BAG3-mediated selective macroautophagy. To adapt cellular homeostasis to stress, BAG3 modulates and functions in various cellular processes and signaling pathways. Noteworthy, dysfunction and deregulation of BAG3 and its pathway are pathophysiologically linked to myopathies, cancer, and neurodegenerative disorders. Here, we report a BAG3 proteomic signature under proteostasis stress. To elucidat…

ProteomicsautophagyCell signalingCellular homeostasisinteractomeBiologyBAG3InteractomeArticleStress PhysiologicalHumansddc:610Protein Interaction Mapsprotein quality controllcsh:QH301-705.5Adaptor Proteins Signal TransducingProto-Oncogene Proteins c-yesproteostasisBAG3AutophagyMolecular Sequence Annotationstress responseGeneral MedicineCell biologyGene OntologyHEK293 CellsAggresomeProteostasislcsh:Biology (General)Multivariate AnalysisSignal transductionApoptosis Regulatory ProteinsProteasome InhibitorsProtein BindingCells
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Changes in the Transcriptome Profiles of Human Amnion-Derived Mesenchymal Stromal/Stem Cells Induced by Three-Dimensional Culture: A Potential Primin…

2022

Mesenchymal stromal/stem cells (MSCs) are believed to function in vivo as a homeostatic tool that shows therapeutic properties for tissue repair/regeneration. Conventionally, these cells are expanded in two-dimensional (2D) cultures, and, in that case, MSCs undergo genotypic/phenotypic changes resulting in a loss of their therapeutic capabilities. Moreover, several clinical trials using MSCs have shown controversial results with moderate/insufficient therapeutic responses. Different priming methods were tested to improve MSC effects, and three-dimensional (3D) culturing techniques were also examined. MSC spheroids display increased therapeutic properties, and, in this context, it is crucial…

QH301-705.5Cell Culture TechniquesCell SeparationRegenerative MedicineArticleCatalysisEpigenesis GeneticImmunophenotypingInorganic ChemistryHumansAmnionPhysical and Theoretical ChemistryBiology (General)Molecular BiologyQD1-999SpectroscopyCells CulturedGene Expression ProfilingOrganic ChemistryComputational BiologyRNA sequencingCell DifferentiationMesenchymal Stem CellsMolecular Sequence AnnotationGeneral MedicineMSC therapeutic propertiesComputer Science ApplicationsChemistryGene OntologyMSC spheroidsGene Expression Regulationhuman amnion-derived mesenchymal stromal/stem cells; RNA sequencing; 3D priming; MSC spheroids; MSC therapeutic properties; regenerative medicineHuman amnion-derived mesenchymal stromal/stem cells3D primingTranscriptomeBiomarkers
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Rpb4 and Puf3 imprint and post-transcriptionally control the stability of a common set of mRNAs in yeast

2020

ABSTRACTGene expression involving RNA polymerase II is regulated by the concerted interplay between mRNA synthesis and degradation, crosstalk in which mRNA decay machinery and transcription machinery respectively impact transcription and mRNA stability. Rpb4, and likely dimer Rpb4/7, seem the central components of the RNA pol II governing these processes. In this work we unravel the molecular mechanisms participated by Rpb4 that mediate the posttranscriptional events regulating mRNA imprinting and stability. By RIP-Seq, we analyzed genome-wide the association of Rpb4 with mRNAs and demonstrated that it targeted a large population of more than 1400 transcripts. A group of these mRNAs was als…

Saccharomyces cerevisiae ProteinsTranscription GeneticRNA StabilityRNA polymerase IIRNA-binding proteinSaccharomyces cerevisiaeGenomic Imprinting03 medical and health sciences0302 clinical medicineTranscription (biology)Gene Expression Regulation FungalGene expressionRNA MessengerRNA Processing Post-TranscriptionalImprinting (psychology)Molecular Biology030304 developmental biology0303 health sciencesMessenger RNABinding SitesbiologyChemistryRNA-Binding ProteinsMolecular Sequence AnnotationCell BiologyChromatinChromatinCell biologyCrosstalk (biology)030220 oncology & carcinogenesisbiology.proteinRNA Polymerase IIProtein BindingResearch PaperRNA Biology
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