Search results for "Gene Ontology"

showing 9 items of 39 documents

Comparative Quantitative Analysis of Porcine Optic Nerve Head and Retina Subproteomes

2019

Optic nerve head (ONH) and retina (RET) are the main sites of damage in neurodegenerative optic neuropathies including glaucoma. Up to date, little is known about the molecular interplay between these two adjoining ocular components in terms of proteomics. To close this gap, we investigated ONH and RET protein extracts derived from porcine eyes (n = 12) (Sus scrofa domestica Linnaeus 1758) using semi-quantitative mass spectrometry (MS)-based proteomics comprising bottom-up LC&ndash

Proteomics0301 basic medicineretinaProteomegenetic structuresSus scrofaGlaucomaProteomicslcsh:ChemistrySus scrofa domestica0302 clinical medicineTandem Mass SpectrometryProtein Interaction Mapslcsh:QH301-705.5Spectroscopybiologyoptic nerve headGeneral MedicineComputer Science ApplicationsCell biologymedicine.anatomical_structureProteomeOptic nerveProtein Binding<i>Sus scrofa domestica</i>Optic DiskArticleCatalysisInorganic Chemistry03 medical and health sciencesmedicineMALDI-TOF MSAnimalsHumansPhysical and Theoretical ChemistryEndoplasminMolecular BiologyRetinaClusterinOrganic Chemistrymedicine.diseaseeye diseasesLC-MSglaucomaGene Ontology030104 developmental biologylcsh:Biology (General)lcsh:QD1-999Spectrometry Mass Matrix-Assisted Laser Desorption-Ionizationbiology.proteinsense organsCeruloplasmin030217 neurology & neurosurgeryInternational Journal of Molecular Sciences
researchProduct

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
researchProduct

Common Factors in Neurodegeneration: A Meta-Study Revealing Shared Patterns on a Multi-Omics Scale

2020

Neurodegenerative diseases such as Alzheimer&rsquo

Proteomicsamyotrophic lateral sclerosisParkinson's diseaseDatabases FactualProteomeDiseaseComputational biologyBiologyPolymorphism Single NucleotideArticleTranscriptomeImmune systemHuntington's diseaseAlzheimer DiseasemedicineHumansbiochemistryAmyotrophic lateral sclerosislcsh:QH301-705.5GeneAlzheimer’s disease ; multi-omics ; neurodegeneration ; Huntington’s disease ; Parkinson’s disease ; amyotrophic lateral sclerosisNeurodegenerationneurodegenerationNeurodegenerative DiseasesParkinson DiseaseGenomicsGeneral Medicinemulti-omicsmedicine.diseaseImmunity HumoralGene OntologyHuntington Diseaselcsh:Biology (General)Parkinson’s diseaseTranscriptomeAlzheimer’s diseaseGenome-Wide Association StudyHuntington’s disease
researchProduct

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
researchProduct

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
researchProduct

RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures

2020

The RepeatsDB database (URL: https://repeatsdb.org/) provides annotations and classification for protein tandem repeat structures from the Protein Data Bank (PDB). Protein tandem repeats are ubiquitous in all branches of the tree of life. The accumulation of solved repeat structures provides new possibilities for classification and detection, but also increasing the need for annotation. Here we present RepeatsDB 3.0, which addresses these challenges and presents an extended classification scheme. The major conceptual change compared to the previous version is the hierarchical classification combining top levels based solely on structural similarity (Class > Topology > Fold) with two new lev…

Repetitive Sequences Amino AcidAcademicSubjects/SCI00010BiologíaStatistics as TopicProtein Data Bank (RCSB PDB)Computational biologyBiologyRepetitive SequencesGene Ontology; HEK293 Cells; HeLa Cells; Humans; Proteins; Reproducibility of Results; Statistics as Topic; User-Computer Interface; Databases Protein; Repetitive Sequences Amino Acid; Tandem Repeat SequencesDatabases03 medical and health sciencesAnnotationUser-Computer InterfaceProtein structureSimilarity (network science)Tandem repeatGeneticsDatabase IssueHumansDatabases ProteinCiencias Exactasdatabase030304 developmental biology0303 health sciencesHierarchy (mathematics)Protein030302 biochemistry & molecular biologyProteinsReproducibility of Resultscomputer.file_formatProtein Data BankClass (biology)proteinsAmino AcidComputingMethodologies_PATTERNRECOGNITIONGene OntologyHEK293 CellsclassificationTandem Repeat Sequencesprotein tandem repeat structures[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]computerHeLa CellsNucleic Acids Research
researchProduct

Il neurone autistico: analisi funzionale in silico dei geni coinvolti nelle Copy Number Variants

2009

Settore BIO/13 - Biologia ApplicataGene ontology Autism CNV
researchProduct

Urinary MicroRNA Profiling Predicts the Development of Microalbuminuria in Patients with Type 1 Diabetes

2015

Microalbuminuria provides the earliest clinical marker of diabetic nephropathy among patients with Type 1 diabetes, yet it lacks sensitivity and specificity for early histological manifestations of disease. In recent years microRNAs have emerged as potential mediators in the pathogenesis of diabetes complications, suggesting a possible role in the diagnosis of early stage disease. We used quantiative polymerase chain reaction (qPCR) to evaluate the expression profile of 723 unique microRNAs in the normoalbuminuric urine of patients who did not develop nephropathy (n = 10) relative to patients who subsequently developed microalbuminuria (n = 17). Eighteen microRNAs were strongly associated w…

Type 1 diabetesmicroalbuminuriabusiness.industrylcsh:Rlcsh:MedicineGeneral MedicineDiseaseBioinformaticsmedicine.diseaseArticlemicroRNAsNephropathyDiabetic nephropathyPathogenesisType 1 diabetesDiabetes mellitusmicroRNAmedicinegene ontologyprognostic modelMicroalbuminuriatarget analysisbusinessJournal of Clinical Medicine
researchProduct

Autism Spectrum Disorders: From Candidate Genes to Candidate Ontology Terms

2008

Genetic heterogeneity for a multifactorial disease such as autism would imply that any two patients are unlikely to share the same susceptibility loci. Since different susceptibility loci may affect the same function and since functions may be considered at different levels of analysis, the following question arises: at what phenotypic levels is convergence attained by different genes in autism ? This is an important question to answer in order to shed light on subcellular, cellular or multicellular structures and functions possibly involved in the pathogenesis of autism. Among the various attempts made to answer this question it is worth mentioning the use of the best available genetic inf…

gene ontology autismSettore BIO/13 - Biologia ApplicataSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
researchProduct