Search results for "Data"

showing 10 items of 12992 documents

Multi-level integration of environmentally perturbed internal phenotypes reveals key points of connectivity between them

2017

The genotype and external phenotype of organisms are linked by so-called internal phenotypes which are influenced by environmental conditions. In this study, we used five existing -omics datasets representing five different layers of internal phenotypes, which were simultaneously measured in dietarily perturbed mice. We performed 10 pair-wise correlation analyses verified with a null model built from randomized data. Subsequently, the inferred networks were merged and literature mined for co-occurrences of identified linked nodes. Densely connected internal phenotypes emerged. Forty-five nodes have links with all other data-types and we denote them "connectivity hubs." In literature, we fou…

0301 basic medicineProteomicsPhysiologySystems biologyComputational biologyBiologyProteomicslcsh:PhysiologyCorrelation03 medical and health sciences0302 clinical medicineGenotype-phenotype distinctionGastrointestinal tractPhysiology (medical)GenotypeMetabolomicsSystems and Synthetic BiologyHost-Microbe InteractomicsFokkerij & GenomicaTranscriptomicsOriginal ResearchVLAGHost Pathogen Interaction & DiagnosticsGeneticsSysteem en Synthetische BiologieInternal phenotypelcsh:QP1-981Null modelMicrobiotaBacteriologieBacteriologyBacteriology Host Pathogen Interaction & DiagnosticsPhenotypeHost Pathogen Interactie & Diagnostiek030104 developmental biologyBacteriologie Host Pathogen Interactie & DiagnostiekKey (cryptography)Data integrationSystems biology030217 neurology & neurosurgeryAnimal Breeding & Genomics
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The Human Proteome Organization–Proteomics Standards Initiative Quality Control Working Group: Making quality control more accessible for biological …

2017

To have confidence in results acquired during biological mass spectrometry experiments, a systematic approach to quality control is of vital importance. Nonetheless, until now, only scattered initiatives have been undertaken to this end, and these individual efforts have often not been complementary. To address this issue, the Human Proteome Organization–Proteomics Standards Initiative has established a new working group on quality control at its meeting in the spring of 2016. The goal of this working group is to provide a unifying framework for quality control data. The initial focus will be on providing a community-driven standardized file format for quality control. For this purpose, the…

0301 basic medicineProteomicsQuality ControlProteomics Standards InitiativeProteomeChemistrymedia_common.quotation_subjectControl (management)File formatData scienceMass SpectrometryAnalytical ChemistryVariety (cybernetics)03 medical and health sciences030104 developmental biologyControl dataHuman proteome projectHumansUse caseQuality (business)Databases Proteinmedia_common
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Data for the identification of proteins and post-translational modifications of proteins associated to histones H3 and H4 in S. cerevisiae, using tan…

2016

Tandem affinity purification method (TAP) allows the efficient purification of native protein complexes which incorporate a target protein fused with the TAP tag. Purified multiprotein complexes can then be subjected to diverse types of proteomic analyses. Here we describe the data acquired after applying the TAP strategy on histones H3 and H4 coupled with mass spectrometry to identify associated proteins and protein post-translational modifications in the budding yeast, Saccharomyces cerevisiae. The mass spectrometry dataset described here consists of 14 files generated from four different analyses in a 5600 Triple TOF (Sciex) by information‐dependent acquisition (IDA) LC–MS/MS. The above …

0301 basic medicineProteomicsSaccharomyces cerevisiaeComputational biologyProteomicsMass spectrometrylcsh:Computer applications to medicine. Medical informaticsTandem affinity purificationHistones03 medical and health scienceslcsh:Science (General)Data ArticleTandem affinity purificationMultidisciplinaryChromatography030102 biochemistry & molecular biologybiologybiology.organism_classificationYeastChromatinYeastChromatin030104 developmental biologyHistonebiology.proteinlcsh:R858-859.7Target proteinlcsh:Q1-390Post-translational modificationsData in Brief
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Label-free quantification in ion mobility-enhanced data-independent acquisition proteomics.

2016

Unbiased data-independent acquisition (DIA) strategies have gained increased popularity in the field of quantitative proteomics. The integration of ion mobility separation (IMS) into DIA workflows provides an additional dimension of separation to liquid chromatography-mass spectrometry (LC-MS), and it increases the achievable analytical depth of DIA approaches. Here we provide a detailed protocol for a label-free quantitative proteomics workflow based on ion mobility-enhanced DIA, which synchronizes precursor ion drift times with collision energies to improve precursor fragmentation efficiency. The protocol comprises a detailed description of all major steps including instrument setup, filt…

0301 basic medicineProteomicsTime FactorsProteomeComputer scienceQuantitative proteomicsProteolytic enzymesProteinsProteomicsMass spectrometryGeneral Biochemistry Genetics and Molecular BiologyChemistry Techniques AnalyticalMass Spectrometry03 medical and health sciencesLabel-free quantification030104 developmental biologyProteomeHumansData-independent acquisitionSample preparationBiological systemChromatography LiquidHeLa CellsNature protocols
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Proteomics Standards Initiative: Fifteen Years of Progress and Future Work.

2017

Abstract: The Proteomics Standards Initiative (PSI) of the Human Proteome Organization (HUPO) has now been developing and promoting open community standards and software tools in the field of proteomics for 15 years. Under the guidance of the chair, co-chairs, and other leadership positions, the PSI working groups are tasked with the development and maintenance of community standards via special workshops and ongoing work. Among the existing, ratified standards, the PSI working groups continue to update PSI-MI XML, MITAB, mzML, mzIdentML, mzQuantML, mzTab, and the MIAPE (Minimum Information About a Proteomics Experiment) guidelines with the advance of new technologies and techniques. Furthe…

0301 basic medicineProteomicsprotein quantificationEmerging technologiesComputer sciencecomputer.internet_protocolGuidelines as Topiccomputer.software_genreBiochemistry03 medical and health sciencesprotein identificationHuman proteome projectHumansCommunity standardsquality controlDatabases ProteinBiologydatabasemass spectrometryComputer. Automation030102 biochemistry & molecular biologyApplication programming interfaceProteomics Standards InitiativeGeneral ChemistryReference StandardsData sciencemetabolomicsChemistry030104 developmental biologyPerspectivedata standardWeb servicebioinformatics softwareWorking groupcomputerXMLSoftwaremolecular interactionsJournal of proteome research
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A Simple Method to Predict Blood-Brain Barrier Permeability of Drug- Like Compounds Using Classification Trees

2017

Background: To know the ability of a compound to penetrate the blood-brain barrier (BBB) is a challenging task; despite the numerous efforts realized to predict/measure BBB passage, they still have several drawbacks. Methods: The prediction of the permeability through the BBB is carried out using classification trees. A large data set of 497 compounds (recently published) is selected to develop the tree model. Results: The best model shows an accuracy higher than 87.6% for training set; the model was also validated using 10-fold cross-validation procedure and through a test set achieving accuracy values of 86.1% and 87.9%, correspondingly. We give a brief explanation, in structural terms, o…

0301 basic medicineQuantitative structure–activity relationshipComputer scienceDatasets as TopicQuantitative Structure-Activity Relationshipcomputer.software_genre01 natural sciencesPermeability03 medical and health sciencesMolecular descriptorDrug DiscoveryInternational literatureComputer SimulationTraining setDecision tree learningDecision Trees0104 chemical sciences010404 medicinal & biomolecular chemistry030104 developmental biologyPharmaceutical PreparationsBlood-Brain BarrierTest setData miningBlood brain barrier permeabilitycomputerAlgorithmsDecision tree modelMedicinal Chemistry
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Innovative Strategies to Develop Chemical Categories Using a Combination of Structural and Toxicological Properties.

2016

Interest is increasing in the development of non-animal methods for toxicological evaluations. These methods are however, particularly challenging for complex toxicological endpoints such as repeated dose toxicity. European Legislation, e.g., the European Union's Cosmetic Directive and REACH, demands the use of alternative methods. Frameworks, such as the Read-across Assessment Framework or the Adverse Outcome Pathway Knowledge Base, support the development of these methods. The aim of the project presented in this publication was to develop substance categories for a read-across with complex endpoints of toxicity based on existing databases. The basic conceptual approach was to combine str…

0301 basic medicineQuantitative structure–activity relationshipread acrossPredictive Clustering Tree (PCT) methodComputer science610010501 environmental sciencescomputer.software_genre600 Technik Medizin angewandte Wissenschaften::610 Medizin und Gesundheit01 natural sciences03 medical and health sciencesPharmacology (medical)Cluster analysis0105 earth and related environmental sciencesOriginal ResearchAlternative methodsPharmacologytoxicological and structural similaritybusiness.industryQSARlcsh:RM1-950non-animal methods; QSAR; readacross; Predictive Clustering Tree (PCT) method; toxicological and structural similarityIdentification (information)Tree (data structure)030104 developmental biologyConceptual approachlcsh:Therapeutics. PharmacologyKnowledge basenon-animal methodsData miningWeb servicebusinesscomputerFrontiers in pharmacology
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MODOMICS: a database of RNA modification pathways. 2017 update

2017

Abstract MODOMICS is a database of RNA modifications that provides comprehensive information concerning the chemical structures of modified ribonucleosides, their biosynthetic pathways, the location of modified residues in RNA sequences, and RNA-modifying enzymes. In the current database version, we included the following new features and data: extended mass spectrometry and liquid chromatography data for modified nucleosides; links between human tRNA sequences and MINTbase - a framework for the interactive exploration of mitochondrial and nuclear tRNA fragments; new, machine-friendly system of unified abbreviations for modified nucleoside names; sets of modified tRNA sequences for two bact…

0301 basic medicineRNA methylationBiologycomputer.software_genreMass Spectrometry03 medical and health scienceschemistry.chemical_compound0302 clinical medicineRNA TransferEpitranscriptomicsTerminology as TopicRNA modificationDatabases GeneticGeneticsDatabase IssueHumanschemistry.chemical_classificationDatabase2'-O-methylationRNA030104 developmental biologyEnzymechemistry030220 oncology & carcinogenesisTransfer RNARNARibonucleosidesN6-MethyladenosinecomputerChromatography LiquidNucleic Acids Research
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CoverageAnalyzer (CAn): A Tool for Inspection of Modification Signatures in RNA Sequencing Profiles

2016

Combination of reverse transcription (RT) and deep sequencing has emerged as a powerful instrument for the detection of RNA modifications, a field that has seen a recent surge in activity because of its importance in gene regulation. Recent studies yielded high-resolution RT signatures of modified ribonucleotides relying on both sequence-dependent mismatch patterns and reverse transcription arrests. Common alignment viewers lack specialized functionality, such as filtering, tailored visualization, image export and differential analysis. Consequently, the community will profit from a platform seamlessly connecting detailed visual inspection of RT signatures and automated screening for modifi…

0301 basic medicineRNA modifications; reverse transcription; reverse transcription (RT) signature; RNA sequencing (RNA-Seq); Next-Generation Sequencing (NGS); candidate screening; alignment viewerNext-Generation Sequencing (NGS)lcsh:QR1-502[ SDV.BBM.BM ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyBiologycomputer.software_genre01 natural sciencesBiochemistryField (computer science)Differential analysisDeep sequencinglcsh:MicrobiologyArticleWorld Wide Web03 medical and health sciencesUser-Computer InterfaceRNA modificationsRNA sequencing (RNA-Seq)[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]candidate screeningMolecular BiologyComputingMilieux_MISCELLANEOUS010405 organic chemistrySequence Analysis RNAGene Expression ProfilingRNAComputational BiologyHigh-Throughput Nucleotide Sequencing[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyreverse transcription (RT) signaturereverse transcriptionFile formatalignment viewer0104 chemical sciencesVisualizationVisual inspection030104 developmental biology[ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Data miningcomputerSoftwareBiomolecules
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Sentinel hospital-based surveillance for norovirus infection in children with gastroenteritis between 2015 and 2016 in Italy

2018

Noroviruses are one of the leading causes of gastro-enteric diseases worldwide in all age groups. Novel epidemic noroviruses with GII.P16 polymerase and GII.2 or GII.4 capsid type have emerged worldwide in late 2015 and in 2016. We performed a molecular epidemiological study of the noroviruses circulating in Italy to investigate the emergence of new norovirus strains. Sentinel hospital-based surveillance, in three different Italian regions, revealed increased prevalence of norovirus infection in children (<15 years) in 2016 (14.4% versus 9.8% in 2015) and the emergence of GII.P16 strains in late 2016, which accounted for 23.0% of norovirus infections. The majority of the strains with a GII.…

0301 basic medicineRNA virusesEuropean PeopleSettore MED/07 - Microbiologia E Microbiologia Clinicavirusesmedicine.disease_causePathology and Laboratory MedicinePediatricsGeographical locationsfluids and secretionsEpidemiologyGenotypePrevalenceMedicine and Health SciencesEthnicitiesChildCaliciviridae InfectionsMultidisciplinaryIncidence (epidemiology)Database and informatics methodsQRSequence analysisvirus diseasesGastroenteritisItalian PeopleEuropeCapsidItalyMedical MicrobiologyChild PreschoolViral PathogensVirusesMedicineRNA ViralPathogensPediatric InfectionsResearch Articlemedicine.medical_specialtyGenotypingGenotypeBioinformaticsScience030106 microbiologySequence DatabasesMicrobiologyCaliciviruses03 medical and health sciencesAge groupsmedicineHumansEuropean UnionMolecular Biology TechniquesGenotypingMicrobial PathogensMolecular BiologyBiochemistry Genetics and Molecular Biology (all)RNA sequence analysisBiology and life sciencesbusiness.industrySequence Analysis RNANorovirusOrganismsGenetic VariationRNA-Dependent RNA PolymeraseVirologydigestive system diseasesResearch and analysis methods030104 developmental biologyCaliciviridae InfectionsBiological DatabasesAgricultural and Biological Sciences (all)NorovirusCapsid ProteinsPopulation GroupingsPeople and placesbusinessSentinel Surveillance
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