Search results for "DATABASE"

showing 10 items of 2136 documents

The shell of the invasive bivalve species Dreissena polymorpha: biochemical, elemental and textural Investigations.

2016

28 pages; International audience; The zebra mussel Dreissena polymorpha is a well-established invasive model organism. Although extensively used in environmental sciences, virtually nothing is known of the molecular process of its shell calcification. By describing the microstructure, geochemistry and biochemistry/proteomics of the shell, the present study aims at promoting this species as a model organism in biomineralization studies, in order to establish a bridge with ecotoxicology, while sketching evolutionary conclusions. The shell of D. polymorpha exhibits the classical crossed-lamellar/complex crossed lamellar combination found in several heterodont bivalves, in addition to an extern…

0301 basic medicinelcsh:MedicineInvasive Species010501 environmental sciencesProteomicsEcotoxicology01 natural sciencesBiochemistrychemistry.chemical_compoundDatabase and Informatics MethodsMaterials PhysicsLectinsMusselslcsh:ScienceMicrostructureGel ElectrophoresisStainingMineralsMultidisciplinarybiologyOrganic CompoundsPhysicsMonosaccharidesBiological EvolutionEuropeChemistry[ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Physical SciencesFranceSequence AnalysisResearch ArticleSilver StainingBivalvesMaterials ScienceShell (structure)CarbohydratesSequence DatabasesElectrophoretic StainingResearch and Analysis MethodsDreissenaDreissenaCoomassie Blue staining03 medical and health sciencesElectrophoretic TechniquesSpecies ColonizationAnimal Shells[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Botany[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyEcotoxicologyAnimals[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular Biology14. Life underwaterShell calcificationMolecular Biology TechniquesSequencing Techniques[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/BiomaterialsMolecular Biology[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular Biology0105 earth and related environmental scienceslcsh:ROrganic ChemistryEcology and Environmental SciencesOrganismsChemical CompoundsBiology and Life SciencesProteinsMolluscs[ SDV.IB.BIO ] Life Sciences [q-bio]/Bioengineering/Biomaterialsbiology.organism_classificationInvertebrates030104 developmental biologyCalcium carbonateBiological DatabaseschemistrySpecimen Preparation and TreatmentZebra mussellcsh:QIntroduced SpeciesBiomineralization
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Unexpected associated microalgal diversity in the lichen Ramalina farinacea is uncovered by pyrosequencing analyses

2017

The current literature reveals that the intrathalline coexistence of multiple microalgal taxa in lichens is more common than previously thought, and additional complexity is supported by the coexistence of bacteria and basidiomycete yeasts in lichen thalli. This replaces the old paradigm that lichen symbiosis occurs between a fungus and a single photobiont. The lichen Ramalina farinacea has proven to be a suitable model to study the multiplicity of microalgae in lichen thalli due to the constant coexistence of Trebouxia sp. TR9 and T. jamesii in long-distance populations. To date, studies involving phycobiont diversity within entire thalli are based on Sanger sequencing, but this method see…

0301 basic medicinelcsh:MedicineLichenologyArtificial Gene Amplification and ExtensionPlant SciencePolymerase Chain ReactionDatabase and Informatics MethodsDiversity indexMicroalgaeCluster AnalysisDNA Fungallcsh:ScienceLichenPhylogenyData ManagementMultidisciplinaryEcologybiologyEcologyPhylogenetic AnalysisBiodiversitysymbiosisThallusPhylogeneticspyrosequencingLichenologyTrebouxiaSequence AnalysisResearch ArticleTrebouxiaComputer and Information SciencesBioinformaticsSequence DatabasesReal-Time Polymerase Chain ReactionResearch and Analysis MethodslichenRamalina farinacea03 medical and health sciencesAscomycotaAlgaelichen photobionts pyrosequencing symbiosis TrebouxiaBotanyEvolutionary SystematicsMolecular Biology TechniquesMolecular BiologyDNA sequence analysisTaxonomyEvolutionary BiologyEcology and Environmental Scienceslcsh:RGenetic VariationBiology and Life SciencesSequence Analysis DNAReverse Transcriptase-Polymerase Chain Reactionbiology.organism_classificationBiological Databases030104 developmental biologyphotobiontsPyrosequencinglcsh:QSequence AlignmentPLOS ONE
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Non-Redundant tRNA Reference Sequences for Deep Sequencing Analysis of tRNA Abundance and Epitranscriptomic RNA Modifications

2021

Analysis of RNA by deep-sequencing approaches has found widespread application in modern biology. In addition to measurements of RNA abundance under various physiological conditions, such techniques are now widely used for mapping and quantification of RNA modifications. Transfer RNA (tRNA) molecules are among the frequent targets of such investigation, since they contain multiple modified residues. However, the major challenge in tRNA examination is related to a large number of duplicated and point-mutated genes encoding those RNA molecules. Moreover, the existence of multiple isoacceptors/isodecoders complicates both the analysis and read mapping. Existing databases for tRNA sequencing pr…

0301 basic medicinelcsh:QH426-470ved/biology.organism_classification_rank.speciesComputational biologyBiology01 natural sciencesArticleDeep sequencingdeep sequencing03 medical and health sciencesRNA modificationsRNA Transferepitranscriptome[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Escherichia coliGeneticsModel organismtRNAGeneComputingMilieux_MISCELLANEOUSGenetics (clinical)Sequence Analysis RNA010405 organic chemistryved/biologyreference sequenceHigh-Throughput Nucleotide SequencingRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyquantification0104 chemical scienceslcsh:GeneticsRNA Bacterial030104 developmental biologyTransfer RNADatabases Nucleic AcidtRNA poolBacillus subtilisReference genomeGenes
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Text mining and expert curation to develop a database on psychiatric diseases and their genes

2017

Psychiatric disorders constitute one of the main causes of disability worldwide. During the past years, considerable research has been conducted on the genetic architecture of such diseases, although little understanding of their etiology has been achieved. The difficulty to access up-to-date, relevant genotype-phenotype information has hampered the application of this wealth of knowledge to translational research and clinical practice in order to improve diagnosis and treatment of psychiatric patients. PsyGeNET (http://www.psygenet.org/) has been developed with the aim of supporting research on the genetic architecture of psychiatric diseases, by providing integrated and structured accessi…

0301 basic medicinemedia_common.quotation_subjectLibrary scienceMental disordersHealth informaticsGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicinePlatformExcellencePolitical scienceDatabases GeneticGeneticsData MiningHumansData miningData Curationmedia_commonGlobal burdenDisordersData curationbusiness.industryMental DisordersData science3. Good health030104 developmental biologyOriginal ArticleChristian ministryGeneral Agricultural and Biological Sciencesbusiness030217 neurology & neurosurgerySoftwareInformation Systems
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WES/WGS Reporting of Mutations from Cardiovascular "Actionable" Genes in Clinical Practice: A Key Role for UMD Knowledgebases in the Era of Big Datab…

2016

International audience; High-throughput next-generation sequencing such as whole-exome and whole-genome sequencing are being rapidly integrated into clinical practice. The use of these techniques leads to the identification of secondary variants for which decisions about the reporting or not to the patient need to be made. The American College of Medical Genetics and Genomics recently published recommendations for the reporting of these variants in clinical practice for 56 "actionable" genes. Among these, seven are involved in Marfan Syndrome And Related Disorders (MSARD) resulting from mutations of the FBN1, TGFBR1 and 2, ACTA2, SMAD3, MYH11 and MYLK genes. Here, we show that mutations col…

0301 basic medicinemedicine.medical_specialtyKnowledge BasesGenomicsmarfan-syndrome[SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics030105 genetics & heredityBiologycomputer.software_genreGenomeExAC03 medical and health sciencesAnnotationincidental findingsGeneticsmedicineHumanspathogenicityGenetic Predisposition to Diseasetgfbr2ExomegenomeESPGenetics (clinical)Exome sequencing[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]variantsDatabasethoracic aortic-aneurysmsGenome HumanHigh-Throughput Nucleotide SequencingMYLKGenomicspredictionmutations3. Good healthMarfan syndrome030104 developmental biologydissection[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human geneticsCardiovascular DiseasesMutationMedical geneticsIdentification (biology)LSDB[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]computerexome
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Clinical whole-exome sequencing for the diagnosis of rare disorders with congenital anomalies and/or intellectual disability: substantial interest of…

2017

International audience; PurposeCongenital anomalies and intellectual disability (CA/ID) are a major diagnostic challenge in medical genetics—50% of patients still have no molecular diagnosis after a long and stressful diagnostic “odyssey.” Solo clinical whole-exome sequencing (WES) was applied in our genetics center to improve diagnosis in patients with CA/ID.MethodsThis retrospective study examined 416 consecutive tests performed over 3 years to demonstrate the effectiveness of periodically reanalyzing WES data. The raw data from each nonpositive test was reanalyzed at 12 months with the most recent pipeline and in the light of new data in the literature. The results of the reanalysis for …

0301 basic medicinemedicine.medical_specialtyPediatricsCongenital anomaliesIntellectual disabilityTranslational researchClinical WES dataCongenital Abnormalities03 medical and health sciencesRare DiseasesIntellectual disabilityDatabases GeneticExome SequencingmedicineHumansExomeGenetic Testing[ SDV.GEN.GH ] Life Sciences [q-bio]/Genetics/Human geneticsExomeGenetics (clinical)Exome sequencingGenetic testingRetrospective Studiesmedicine.diagnostic_testbusiness.industryHigh-Throughput Nucleotide SequencingRetrospective cohort studySequence Analysis DNAmedicine.diseaseAdditional research3. Good health030104 developmental biology[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human geneticsWhole-exome sequencingPhysical therapyRaw databusiness
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Anatomical Variations in the Sinoatrial Nodal Artery: A Meta-Analysis and Clinical Considerations

2016

Background and Objective The sinoatrial nodal artery (SANa) is a highly variable vessel which supplies blood to the sinoatrial node (SAN). Due to its variability and susceptibility to iatrogenic injury, our study aimed to assess the anatomy of the SANa and determine the prevalence of its anatomical variations. Study Design An extensive search of major electronic databases was performed to identify all articles reporting anatomical data on the SANa. No lower date limit or language restrictions were applied. Anatomical data regarding the artery were extracted and pooled into a meta-analysis. Results Sixty-six studies (n = 21455 hearts) were included in the meta-analysis. The SANa usually aros…

0301 basic medicinemedicine.medical_specialtyPopulation Dynamicslcsh:MedicineCoronary Artery Disease030204 cardiovascular system & hematologyResearch and Analysis MethodsVascular MedicineCoronary artery diseaseDatabase and Informatics Methods03 medical and health sciencesMathematical and Statistical Techniques0302 clinical medicinemedicine.arteryInternal medicineMedicine and Health SciencesmedicineStatistical MethodsDatabase SearchingPulmonary Arterieslcsh:ScienceSinoatrial nodal arteryCoronary ArteriesMultidisciplinaryPopulation BiologySinoatrial nodebusiness.industryIatrogenic injurylcsh:RBiology and Life SciencesArteriesmedicine.diseaseGeographic DistributionCoronary arteriesGeographic distributionmedicine.anatomical_structureMeta-analysisPhysical SciencesCardiovascular AnatomyCardiologyBlood Vesselslcsh:Q030101 anatomy & morphologyAnatomybusinessMathematicsStatistics (Mathematics)Research ArticleMeta-AnalysisPLOS ONE
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EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research

2017

We argue that the field of extracellular vesicle (EV) biology needs more transparent reporting to facilitate interpretation and replication of experiments. To achieve this, we describe EV-TRACK, a crowdsourcing knowledgebase (http://evtrack.org) that centralizes EV biology and methodology with the goal of stimulating authors, reviewers, editors and funders to put experimental guidelines into practice.

0301 basic medicineminimum informationblood-plasmaphysiology [Extracellular Vesicles]Biomedical ResearchInternationalityComputer sciencephenotype[SDV]Life Sciences [q-bio]MedizinexosomesCrowdsourcingBioinformaticsBiochemistry03 medical and health sciencesExtracellular VesiclesultracentrifugationBiological propertycancerddc:610resolution flow-cytometryMolecular Biologysubpopulationsbusiness.industrybiological-propertiesCell BiologyExtracellular vesicleData scienceDatabases BibliographicReplication (computing)030104 developmental biologycellsbusinessBiotechnology
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Off-Target-Based Design of Selective HIV-1 PROTEASE Inhibitors

2021

The approval of the first HIV-1 protease inhibitors (HIV-1 PRIs) marked a fundamental step in the control of AIDS, and this class of agents still represents the mainstay therapy for this illness. Despite the undisputed benefits, the necessary lifelong treatment led to numerous severe side-effects (metabolic syndrome, hepatotoxicity, diabetes, etc.). The HIV-1 PRIs are capable of interacting with “secondary” targets (off-targets) characterized by different biological activities from that of HIV-1 protease. In this scenario, the in-silico techniques undoubtedly contributed to the design of new small molecules with well-fitting selectivity against the main target, analyzing possible undesirabl…

0301 basic medicineon/off-targetsProtein ConformationComputer sciencemedicine.medical_treatmentHIV InfectionsLigands01 natural sciencesHIV ProteaseHIV-1 proteaseCatalytic DomainDrug DiscoveryBiology (General)DRUDITSpectroscopyMolecular StructurebiologyGeneral MedicineResearch processSmall moleculeComputer Science ApplicationsMolecular Docking SimulationChemistryligand-structure basedQH301-705.5NCI databaseComputational biologyArticleCatalysisInorganic ChemistryStructure-Activity Relationshipmolecular descriptors03 medical and health sciencesHIV-1 proteasemedicineHumansComputer SimulationPhysical and Theoretical ChemistryQD1-999Molecular BiologyVirtual screeningProteaseOrganic ChemistryHIV Protease Inhibitorsmolecular dockingvirtual screening0104 chemical sciences010404 medicinal & biomolecular chemistry030104 developmental biologyDrug DesignHIV-1biology.proteinInternational Journal of Molecular Sciences
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Bacteria classification using minimal absent words

2017

Bacteria classification has been deeply investigated with different tools for many purposes, such as early diagnosis, metagenomics, phylogenetics. Classification methods based on ribosomal DNA sequences are considered a reference in this area. We present a new classificatier for bacteria species based on a dissimilarity measure of purely combinatorial nature. This measure is based on the notion of Minimal Absent Words, a combinatorial definition that recently found applications in bioinformatics. We can therefore incorporate this measure into a probabilistic neural network in order to classify bacteria species. Our approach is motivated by the fact that there is a vast literature on the com…

0301 basic medicinesupervised classificationRelation (database)Computer science0102 computer and information sciences01 natural sciencesMeasure (mathematics)03 medical and health sciencesProbabilistic neural networkcombinatorics on wordsprobabilistic neural networkminimal absent wordlcsh:R5-920Settore INF/01 - Informaticabusiness.industryBacterial taxonomyPattern recognitionbacteria classificationGeneral MedicineCombinatorics on words030104 developmental biology010201 computation theory & mathematicsMetagenomicsClassification methodsArtificial intelligencebusinesslcsh:Medicine (General)AIMS Medical Science
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