Search results for "Base"

showing 10 items of 8362 documents

Diversity, evolution, and function of myriapod hemocyanins.

2018

Background Hemocyanin transports O2 in the hemolymph of many arthropod species. Such respiratory proteins have long been considered unnecessary in Myriapoda. As a result, the presence of hemocyanin in Myriapoda has long been overlooked. We analyzed transcriptome and genome sequences from all major myriapod taxa – Chilopoda, Diplopoda, Symphyla, and Pauropoda – with the aim of identifying hemocyanin-like proteins. Results We investigated the genomes and transcriptomes of 56 myriapod species and identified 46 novel full-length hemocyanin subunit sequences in 20 species of Chilopoda, Diplopoda, and Symphyla, but not Pauropoda. We found in Cleidogona sp. (Diplopoda, Chordeumatida) a hemocyanin-…

0301 basic medicineArthropodaEvolutionmedicine.medical_treatmentMyriapodaZoologychemical and pharmacologic phenomenacomplex mixturesHemocyaninPauropodaEvolution Molecular03 medical and health sciencesHemolymphmedicineQH359-425AnimalsAmino Acid SequenceRNA MessengerArthropodsEcology Evolution Behavior and SystematicsPhylogenyBinding SitesbiologyBase SequenceMonophenol MonooxygenaseMyriapodaGenetic VariationHemocyaninhemic and immune systemsbiology.organism_classificationRespiratory proteinOxygenProtein Subunits030104 developmental biologyHemocyaninsPhenoloxidaseSubunit diversityArthropodSymphylaCentipedeCopperResearch ArticleBMC evolutionary biology
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Autism and carnitine: A possible link

2019

Patients with autism spectrum disorders (ASD) present deficits in social interactions and communication, they also show limited and stereotypical patterns of behaviors and interests. The pathophysiological bases of ASD have not been defined yet. Many factors seem to be involved in the onset of this disorder. These include genetic and environmental factors, but autism is not linked to a single origin, only. Autism onset can be connected with various factors such as metabolic disorders: including carnitine deficiency. Carnitine is a derivative of two amino acid lysine and methionine. Carnitine is a cofactor for a large family of enzymes: the carnitine acyltransferases. Through their action th…

0301 basic medicineAutismMetabolic homeostasisBioinformatics03 medical and health scienceschemistry.chemical_compound0302 clinical medicineCarnitinemental disordersmedicineDietary supplementationCarnitineMethioninebusiness.industryCarnitine AcyltransferasesMinireviewsmedicine.diseaseMetabolism disorderMetabolism030104 developmental biologychemistry030220 oncology & carcinogenesisPathophysiological basesNeurodevelopmentalAutismbusinessmedicine.drugWorld Journal of Biological Chemistry
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Distribution, redox state and (bio)geochemical implications of arsenic in present day microbialites of Laguna Brava, Salar de Atacama

2018

Understanding how microorganisms adapted to the high arsenic concentration present on early Earth requires understanding of the processes involved in the arsenic biogeochemical cycle operating in living microbial mats. To this end, we investigated a living microbial mat from Laguna Brava (Salar de Atacama, Chile), a hypersaline lake with high arsenic concentration, using an array of conventional geochemical techniques, such as X-ray diffraction, SEM-EDX and Confocal Laser Scanning Microscopy (CLSM), combined with state-of-the-art high resolution scanning imaging techniques, including X-ray micro-fluorescence (μXRF) and X-ray Absorption Near Edge Structure (XANES) mapping. This experimental …

0301 basic medicineBiogeochemical cycleMicroorganism030106 microbiologyOtras Ciencias de la Tierra y relacionadas con el Medio Ambientechemistry.chemical_elementSynchrotron-based X-ray imagingArsenicCiencias de la Tierra y relacionadas con el Medio AmbienteSYNCHROTRON-BASED X-RAY IMAGING03 medical and health sciencesStromatolitesMICROBIAL MATSGeochemistry and Petrology[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/GeochemistryMicrobial matsBiosignatureTrace metalMicrobial matBiosignatureArsenicComputingMilieux_MISCELLANEOUSBIOGEOCHEMICAL CYCLESGeologySorptionHypersaline lakeBiogeochemical cyclesBIOSIGNATURE030104 developmental biologychemistrySTROMATOLITES13. Climate actionEnvironmental chemistryARSENICGeologyCIENCIAS NATURALES Y EXACTAS
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Exceptional Pattern Discovery

2017

This chapter is devoted to a discussion on exceptional pattern discovery, namely on scenarios, contexts, and techniques concerning the mining of patterns which are so rare or so frequent to be considered as exceptional and, then, of interest for an expert to shed lights on the domain. Frequent patterns have found broad applications in areas like association rule mining, indexing, and clustering [1, 20, 23]. The application of frequent patterns in classification also achieved some success in the classification of relational data [6, 13, 14, 19, 25], text [15], and graphs [7]. The part is organized as follows. First, the frequent pattern mining on classical datasets is presented. This is not …

0301 basic medicineBiological dataPoint (typography)Association rule learningComputer scienceRelational databasebusiness.industrySearch engine indexingcomputer.software_genreDomain (software engineering)Network pattern03 medical and health sciences030104 developmental biology0302 clinical medicineArtificial intelligenceCluster analysisbusinesscomputer030217 neurology & neurosurgeryNatural language processing
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Making sense of big data in health research: {T}owards an {EU} action plan

2016

Genome medicine 8(1), 71 (2016). doi:10.1186/s13073-016-0323-y

0301 basic medicineBiomedical ResearchDatabases FactualPREDICTIONComputer scienceBig data: Santé publique services médicaux & soins de santé [D22] [Sciences de la santé humaine]XXBioinformaticsBases de dadesSYSTEMS MEDICINE0302 clinical medicineINFORMATICSCultural diversityHealth careGenetics(clinical)030212 general & internal medicineGenetics (clinical)media_commonGenetics & HeredityExabyteCHALLENGESMacrodadesCANCER3. Good healthAction planMolecular MedicineErratumLife Sciences & BiomedicineMedical GeneticsOpinion: Public health health care sciences & services [D22] [Human health sciences]MedicinaInformation DisseminationMECHANISMS03 medical and health sciencesFUTUREJournal ArticleGeneticsmedia_common.cataloged_instanceHumansKNOWLEDGEEuropean UnionEuropean unionMolecular BiologyMedicinsk genetik0604 GeneticsScience & Technologybusiness.industryInformation DisseminationHealth Plan Implementation1103 Clinical SciencesCAREData scienceData sharing030104 developmental biologyUNDIAGNOSED DISEASES NETWORKbusiness
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Dry selection and wet evaluation for the rational discovery of new anthelmintics

2017

Helminths infections remain a major problem in medical and public health. In this report, atom-based 2D bilinear indices, a TOMOCOMD-CARDD (QuBiLs-MAS module) molecular descriptor family and linear discriminant analysis (LDA) were used to find models that differentiate among anthelmintic and non-anthelmintic compounds. Two classification models obtained by using non-stochastic and stochastic 2D bilinear indices, classified correctly 86.64% and 84.66%, respectively, in the training set. Equation 1(2) correctly classified 141(135) out of 165 [85.45%(81.82%)] compounds in external validation set. Another LDA models were performed in order to get the most likely mechanism of action of anthelmin…

0301 basic medicineBiophysicsNon-stochastic and stochastic atom-based bilinear indicesBilinear interpolationLDA-based QSAR modelQuBiLs-MAS module01 natural sciencesSet (abstract data type)03 medical and health sciencesMolecular descriptorStatisticsPhysical and Theoretical ChemistryMolecular BiologySelection (genetic algorithm)MathematicsFree and open source softwareTraining setTOMOCOMD-CARDD softwareExternal validationAnthelmintic activityAtom (order theory)Computational creeningCondensed Matter PhysicsLinear discriminant analysis0104 chemical sciencesIndazole010404 medicinal & biomolecular chemistry030104 developmental biologyLead generationMolecular Physics
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Comparing Targeted vs. Untargeted MS2 Data-Dependent Acquisition for Peak Annotation in LC-MS Metabolomics

2020

One of the most widely used strategies for metabolite annotation in untargeted LCMS is based on the analysis of MSn spectra acquired using data-dependent acquisition (DDA), where precursor ions are sequentially selected from MS scans based on user-selected criteria. However, the number of MSn spectra that can be acquired during a chromatogram is limited and a trade-off between analytical speed, sensitivity and coverage must be ensured. In this research, we compare four different strategies for automated MS2 DDA, which can be easily implemented in the frame of standard QA/QC workflows for untargeted LC&ndash

0301 basic medicineBioquímicaBiologiaComputer scienceEndocrinology Diabetes and Metabolismlcsh:QR1-50201 natural sciencesBiochemistryliquid chromatography–mass spectrometryArticlelcsh:Microbiology03 medical and health sciencesAnnotationMetabolomicsLiquid chromatography–mass spectrometrypeak annotationMolecular BiologyData dependentliquid chromatography-mass spectrometrydata dependent acquisitionbusiness.industry010401 analytical chemistryhuman milkPattern recognition0104 chemical sciencesWorking range030104 developmental biologyFeature (computer vision)Reference databaseArtificial intelligencebusinessMETABOLIC FEATURES
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Lack of association between screening interval and cancer stage in Lynch syndrome may be accounted for by over-diagnosis; a prospective Lynch syndrom…

2019

Background Recent epidemiological evidence shows that colorectal cancer (CRC) continues to occur in carriers of pathogenic mismatch repair (path_MMR) variants despite frequent colonoscopy surveillance in expert centres. This observation conflicts with the paradigm that removal of all visible polyps should prevent the vast majority of CRC in path_MMR carriers, provided the screening interval is sufficiently short and colonoscopic practice is optimal. Methods To inform the debate, we examined, in the Prospective Lynch Syndrome Database (PLSD), whether the time since last colonoscopy was associated with the pathological stage at which CRC was diagnosed during prospective surveillance. Path_MMR…

0301 basic medicineCOLONOSCOPIC SURVEILLANCEColorectal cancerColonoscopy030105 genetics & hereditycomputer.software_genreFAMILIESCOLORECTAL-CANCERBreast cancer screening0302 clinical medicine610 Medical sciences MedicineEpidemiologytähystysStage (cooking)Hereditary nonpolyposis colorectal cancerMUTATIONGenetics (clinical)RISKSurveillanceDatabasemedicine.diagnostic_testIncidence (epidemiology)Colonoscopylcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensLynch syndrome3. Good healthOncology030220 oncology & carcinogenesisendoskopiaScreeningsyöpätauditkoloskopiamedicine.medical_specialtylcsh:QH426-4703122 Cancers610suolistosyövätmikrosatelliititlcsh:RC254-282Mismatch repair03 medical and health sciencesCàncer colorectalmedicineEndoscòpiaLynchin oireyhtymäperinnölliset tauditseulontatutkimusbusiness.industryResearchColonoscòpiaMicrosatellite instabilityEndoscopyDNAdiagnostiikkamedicine.diseaseColorectal cancerdigestive system diseasesHereditary cancerADENOMAlcsh:GeneticsLynch syndromeOver-diagnosisMicrosatellite instabilitytarkkailubusinesscomputer
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Intraspinal stem cell transplantation for amyotrophic lateral sclerosis: Ready for efficacy clinical trials?

2016

Intraspinal stem cell (SC) transplantation represents a new therapeutic approach for amyotrophic lateral sclerosis (ALS) clinical trials. There are considerable difficulties in designing future efficacy trials, some related to the field of ALS and some that are specific to SCs or the mode of delivery. In October 2015, the most controversial points on SC transplantation were addressed during an international workshop intended to bring together international SC and ALS researchers in a public discussion on a topic for which expertise is limited. During the meeting, a discussion was started on the basic structure of the ideal clinical trial testing the efficacy and safety of SC transplantation…

0301 basic medicineCancer ResearchCell- and Tissue-Based Therapy0302 clinical medicinePublic discussionNeural Stem CellsImmunology and AllergyNeural Stem CellALS; clinical trials; stem cells; transplantation; Immunology and Allergy; Immunology; Oncology; Genetics (clinical); Cell Biology; Cancer Research; TransplantationAmyotrophic lateral sclerosisGenetics (clinical)clinical trialMiddle AgedOncologyStem cellSafetyHumanAdultmedicine.medical_specialtyConsensusAdolescentImmunologyConsensu03 medical and health sciencesTherapeutic approachYoung AdultClinical Trials Phase II as Topicstem cellsmedicineHumansIntensive care medicineAgedclinical trialsTransplantationbusiness.industryAmyotrophic Lateral SclerosisBIO/13 - BIOLOGIA APPLICATACell Biologymedicine.diseasestem cellClinical trialTransplantation030104 developmental biologyClinical Trials Phase III as TopicImmunologyALSbusiness030217 neurology & neurosurgeryAmyotrophic Lateral SclerosiStem Cell TransplantationCytotherapy
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Cytosine methylation patterns suggest a role of methylation in plastic and adaptive responses to temperature in European grayling (Thymallus thymallu…

2020

Temperature is a key environmental parameter affecting both the phenotypes and distributions of organisms, particularly ectotherms. Rapid organismal responses to thermal environmental changes have been described for several ectotherms; however, the underlying molecular mechanisms often remain unclear. Here, we studied whole genome cytosine methylation patterns of European grayling (Thymallus thymallus) embryos from five populations with contemporary adaptations of early life history traits at either 'colder' or 'warmer' spawning grounds. We reared fish embryos in a common garden experiment using two temperatures that resembled the 'colder' and 'warmer' conditions of the natal natural enviro…

0301 basic medicineCancer ResearchDATABASEsalmonidPopulationCytosine methylationSNPepigenetic variationCytosine03 medical and health sciences0302 clinical medicineINTRAGENIC DNA METHYLATIONthermal adaptationPHENOTYPIC PLASTICITYAnimalsADAPTATIONeducationMolecular BiologyGENE-EXPRESSIONLocal adaptationeducation.field_of_studyPhenotypic plasticitypromoterCLIMATE-CHANGEbiologyTemperatureGenetic VariationDNA Methylationbiology.organism_classificationThymallusEVOLUTIONEuropean graylingINSIGHTS030104 developmental biologyCpG siteEvolutionary biologydevelopmental plasticity030220 oncology & carcinogenesisEctotherm1181 Ecology evolutionary biologyDNA methylationTHERMAL PLASTICITYtranscriptionSalmonidaeResearch PaperEpigenetics
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