Search results for " Systems biology"

showing 10 items of 19 documents

Perspective: Essential study quality descriptors for data from nutritional epidemiologic research

2017

Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. First, a literature review was performed to get an insight on existing instruments that assess the quality of cohort, case-control, and cross-sectional studies and dietary measurement. Second, 2 face-to-face workshops were organized to determine the study characteristics that affect data quality. Third, consensus on the data descrip…

0301 basic medicineDatabases FactualMedicine (miscellaneous)StorageBiomedical InnovationOntology (information science)Bioinformatics0302 clinical medicineLifedata interoperabilityObservational studyData interoperabilityMedicine030212 general & internal medicineAdipositymedia_commonNutrition and DieteticsAnthropometryOntologydietary assessmentNutritional assessmentObservational Studies as TopicIdentification (information)Research DesignDietary assessmentControlled vocabularyHealthy LivingPerspectivesHumanConsensusmedia_common.quotation_subject03 medical and health sciencesControlled vocabularyHumansQuality (business)Data QualityBiologyCross-sectional studyNutritional epidemiologyNutritional epidemiologybusiness.industryData qualityStudy designData scienceDietEpidemiologic StudiesCritical appraisalnutritional epidemiologyNutrition Assessment030104 developmental biologyMSB - Microbiology and Systems BiologyCardiovascular and Metabolic DiseasesData qualitySystematic reviewObservational studyobservational studyELSS - Earth Life and Social SciencesbusinessMeta analysisFood Science
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Characterization of the porcine seminal plasma proteome comparing ejaculate portions.

2016

Full identification of boar seminal plasma (SP) proteins remains challenging. This study aims to provide an extensive proteomic analysis of boar SP and to generate an accessible database of boar SP-proteome. A SP-pool (33 entire ejaculates/11 boars; 3 ejaculates/boar) was analyzed to characterize the boar SP-proteome. Twenty ejaculates (5 boars, 4 ejaculates/boar) collected in portions (P1: first 10 mL of sperm rich ejaculate fraction (SRF), P2: rest of SRF and P3: post-SRF) were analyzed to evaluate differentially expressed SP-proteins among portions. SP-samples were analyzed using a combination of SEC, 1-D SDS PAGE and NanoLC-ESI-MS/MS followed by functional bioinformatics. The identified…

0301 basic medicineMaleProteomicsendocrine systemBOARProteomeSwineQuantitative proteomicsBiophysicsComputational biologyBioinformatik och systembiologiBiologyBioinformaticsBiochemistry03 medical and health sciencesTandem Mass SpectrometryAnimalsPorcine; Ejaculate; Seminal plasma; ProteomeEjaculationSperm qualityDatabases ProteinLabel freeBioinformatics and Systems Biologyurogenital systemProteomic ProfilingReproductionSeminal Plasma ProteinsComputational BiologySpermSemen Analysis030104 developmental biologyFertilityGene Expression RegulationBiological significanceProteomeElectrophoresis Polyacrylamide GelChromatography LiquidJournal of proteomics
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A "systems medicine" approach to the study of non-alcoholic fatty liver disease

2016

a b s t r a c t The prevalence of fatty liver (steatosis) in the general population is rapidly increasing worldwide. The progress of knowledge in the physiopathology of fatty liver is based on the systems biology approach to studying the complex interactions among different physiological systems. Similarly, translational and clinical research should address the complex interplay between these systems impacting on fatty liver. The clinical needs drive the applications of systems medicine to re-define clinical phenotypes, assessing the multiple nature of disease susceptibility and progression (e.g. the definition of risk, prognosis, diag- nosis criteria, and new endpoints of clinical trials).…

0301 basic medicinePathologymedicine.medical_specialtyFatty liver; Medicine; NAFLD; NASH; Personalized; Systems medicine; Gastroenterology; HepatologySystems AnalysisSystems biologyPersonalizedPopulationDiseaseBioinformatics03 medical and health sciences0302 clinical medicineNon-alcoholic Fatty Liver DiseaseRisk FactorsInternal medicineFatty liverNAFLDFatty liver; Medicine; NAFLD; NASH; Personalized; Systems medicinemedicineHumansFatty liver; Medicine; NAFLD; NASH; Personalized; Systems medicine; Hepatology; GastroenterologyeducationFatty liver; Medicine; NAFLD; NASH; Personalized; Systems medicine; Disease Progression; Humans; Non-alcoholic Fatty Liver Disease; Phenotype; Risk Factors; Systems Biology; Systems Analysis; Medicine (all); Hepatology; Gastroenterologyeducation.field_of_studyHepatologybusiness.industrySystems BiologySettore MED/09 - MEDICINA INTERNAFatty liverGastroenterologyNASHHepatologymedicine.diseaseSystems medicineClinical trial030104 developmental biologyPhenotypeSystems medicineDisease ProgressionMedicine030211 gastroenterology & hepatologySteatosisbusiness
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Viral fitness correlates with the magnitude and direction of the perturbation induced in the host’s transcriptome: the tobacco etch Potyvirus—tobacco…

2018

Determining the fitness of viral genotypes has become a standard practice in virology as it is essential to evaluate their evolutionary potential. Darwinian fitness, defined as the advantage of a given genotype with respect to a reference one, is a complex property that captures, in a single figure, differences in performance at every stage of viral infection. To what extent does viral fitness result from specific molecular interactions with host factors and regulatory networks during infection? Can we identify host genes in functional classes whose expression depends on viral fitness? Here, we compared the transcriptomes of tobacco plants infected with seven genotypes of tobacco etch potyv…

0301 basic medicinePotyvirusViral fitnessGene ExpressionBiologyReal-Time Polymerase Chain ReactionHost-virus interactionModels BiologicalTranscriptome03 medical and health sciencesDarwinian FitnessTobaccoGene expressionGeneticsTranscriptomicsGeneMolecular BiologyDiscoveriesEcology Evolution Behavior and SystematicsPlant DiseasesNicotiana tabacum PotyvirusGeneticsNicotiana tabacumPotyvirusresponse to infection Systems biologyPotyvirusRNAMicroarray Analysisbiology.organism_classificationResponse to infectionVirus evolutionRNA silencing030104 developmental biologyViral evolutionHost-Pathogen InteractionsTEVGenetic FitnessTranscriptomeSystems biologyHost–virus interaction
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A Spatially Resolved Dark- Versus Light-Zone Microenvironment Signature Subdivides Germinal Center-Related Aggressive B-Cell Lymphomas

2020

Summary: We applied digital spatial profiling for 87 immune and stromal genes to lymph node germinal center (GC) dark- and light-zone (DZ/LZ) regions of interest to obtain a differential signature of these two distinct microenvironments. The spatially resolved 53-genes signature, comprising key genes of the DZ mutational machinery and LZ immune and mesenchymal milieu, was applied to the transcriptomes of 543 GC-related diffuse large B cell lymphomas and double-hit (DH) lymphomas. According to the DZ/LZ signature, the GC-related lymphomas were sub-classified into two clusters. The subgroups differed in the distribution of DH cases and survival, with most DH displaying a distinct DZ-like prof…

0301 basic medicineStromal cellCancer Cancer Systems Biology02 engineering and technologycancer systems biologyBiologyTranscriptome03 medical and health sciencestranscriptomicsImmune systemmedicinecancerTranscriptomicslcsh:ScienceGeneLymph nodeB cellCancerMultidisciplinaryMesenchymal stem cellGerminal centerGene signature021001 nanoscience & nanotechnologyMolecular biologycancer; cancer systems biology; transcriptomics030104 developmental biologymedicine.anatomical_structurelcsh:Q0210 nano-technologySignature (topology)Cancer Systems BiologySSRN Electronic Journal
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Evolutionary Analysis of DELLA-Associated Transcriptional Networks

2017

DELLA proteins are transcriptional regulators present in all land plants which have been shown to modulate the activity of over 100 transcription factors in Arabidopsis, involved in multiple physiological and developmental processes. It has been proposed that DELLAs transduce environmental information to pre-wired transcriptional circuits because their stability is regulated by gibberellins (GAs), whose homeostasis largely depends on environmental signals. The ability of GAs to promote DELLA degradation coincides with the origin of vascular plants, but the presence of DELLAs in other land plants poses at least two questions: what regulatory properties have DELLAs provided to the behavior of…

0301 basic medicineevo–devoChlamydomonas reinhardtiiPlant ScienceBiologylcsh:Plant culturePhyscomitrella patensGene co-expression networks03 medical and health sciencesTranscriptional regulationArabidopsisBotanyTranscriptional regulationBIOQUIMICA Y BIOLOGIA MOLECULARArabidopsis thalianalcsh:SB1-1110Transcription factorIntegrative molecular systems biologyOriginal ResearchEvo-devofood and beveragesPlant signalingbiology.organism_classificationCell biologyGENETICA030104 developmental biologyEvolutionary developmental biologyFunction (biology)
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Boolean Networks: A Primer

2021

Abstract Autism Spectrum Disorders (ASDs) stand out as a relevant example where omics-data approaches have been extensively and successfully employed. For instance, an outstanding outcome of the Autism Genome Project relies in the identification of biomarkers and the mapping of biological processes potentially implicated in ASDs’ pathogenesis. Several of these mapped processes are related to molecular and cellular events (e.g., synaptogenesis and synapse function, axon growth and guidance, etc.) that are required for the development of a correct neuronal connectivity. Interestingly, these data are consistent with results of brain imaging studies of some patients. Despite these remarkable pr…

Computer scienceIn silicoAttractor Autism spectrum disorders (ASDs) Axon guidance Basin of attraction Boolean network BoolNet Computational model Copy number variants (CNVs) Growth cone In silico mutagenesis Mutations Neurodevelopmental disorders Systems biologyGenome projectComputational biologyGene mutationmedicine.diseasePhenotypeEndophenotypemental disordersmedicineAutismIdentification (biology)Function (biology)
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Towards human cell simulation

2019

The faithful reproduction and accurate prediction of the phe-notypes and emergent behaviors of complex cellular systems are among the most challenging goals in Systems Biology. Although mathematical models that describe the interactions among all biochemical processes in a cell are theoretically feasible, their simulation is generally hard because of a variety of reasons. For instance, many quantitative data (e.g., kinetic rates) are usually not available, a problem that hinders the execution of simulation algorithms as long as some parameter estimation methods are used. Though, even with a candidate parameterization, the simulation of mechanistic models could be challenging due to the extr…

Constraint-based modelingAgent-based simulation; Big data; Biochemical simulation; Computational intelligence; Constraint-based modeling; Fuzzy logic; High-performance computing; Model reduction; Multi-scale modeling; Parameter estimation; Reaction-based modeling; Systems biology; Theoretical Computer Science; Computer Science (all)Computer scienceBiochemical simulationDistributed computingSystems biologyBig dataComputational intelligenceContext (language use)ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONITheoretical Computer ScienceReduction (complexity)Big dataParameter estimationHigh-performance computingComputational intelligenceAgent-based simulationMathematical modelbusiness.industryModel reductionComputer Science (all)Multi-scale modelingINF/01 - INFORMATICASupercomputerVariety (cybernetics)Fuzzy logicReaction-based modelingbusinessSystems biology
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Network reconstruction for trans acting genetic loci using multi-omics data and prior information.

2022

Background: Molecular measurements of the genome, the transcriptome, and the epigenome, often termed multi-omics data, provide an in-depth view on biological systems and their integration is crucial for gaining insights in complex regulatory processes. These data can be used to explain disease related genetic variants by linking them to intermediate molecular traits (quantitative trait loci, QTL). Molecular networks regulating cellular processes leave footprints in QTL results as so-called trans-QTL hotspots. Reconstructing these networks is a complex endeavor and use of biological prior information can improve network inference. However, previous efforts were limited in the types of priors…

Data Integrationeducation.field_of_studyComputer scienceScale (chemistry)Bayesian probabilityPopulationQuantitative Trait LociBiological databaseInferenceData Integration ; Machine Learning ; Multi-omics ; Network Inference ; Personalized Medicine ; Prior Information ; Simulation ; Systems BiologyComputational biologyQuantitative trait locusReplication (computing)Machine LearningPrior probabilityCohortGeneticsMolecular MedicineHumans:Medicine [Science]Gene Regulatory NetworkseducationTranscriptomeMolecular BiologyGenetics (clinical)Genome medicine
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An open-source computational and data resource to analyze digital maps of immunopeptidomes

2015

We present a novel mass spectrometry-based high-throughput workflow and an open-source computational and data resource to reproducibly identify and quantify HLA-associated peptides. Collectively, the resources support the generation of HLA allele-specific peptide assay libraries consisting of consensus fragment ion spectra, and the analysis of quantitative digital maps of HLA peptidomes generated from a range of biological sources by SWATH mass spectrometry (MS). This study represents the first community-based effort to develop a robust platform for the reproducible and quantitative measurement of the entire repertoire of peptides presented by HLA molecules, an essential step towards the de…

Databases FactualimmunopeptidomeQH301-705.5Systems biologyScienceImmunologyComputational biologyBiologyBioinformaticsMass spectrometryGeneral Biochemistry Genetics and Molecular BiologyMass Spectrometry03 medical and health sciencesResource (project management)Fragment (logic)HLA Antigenstargeted mass spectrometryHigh-Throughput Screening AssaysDIAhumanAntigenshuman leukocytes antigenBiology (General)030304 developmental biology0303 health sciencesAntigen PresentationGeneral Immunology and MicrobiologyDigital mappingGeneral Neuroscience030302 biochemistry & molecular biologyQRComputational BiologyGeneral Medicine3. Good healthTools and ResourcesHigh-Throughput Screening AssaysWorkflowTargeted mass spectrometrySWATH-MSMedicinePeptidesComputational and Systems BiologyeLife
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