Search results for " Systems biology"

showing 10 items of 19 documents

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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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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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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Combined Stress Conditions in Melon Induce Non-additive Effects in the Core miRNA Regulatory Network

2021

Climate change has been associated with a higher incidence of combined adverse environmental conditions that can promote a significant decrease in crop productivity. However, knowledge on how a combination of stresses might affect plant development is still scarce. MicroRNAs (miRNAs) have been proposed as potential targets for improving crop productivity. Here, we have combined deep-sequencing, computational characterization of responsive miRNAs and validation of their regulatory role in a comprehensive analysis of response of melon to several combinations of four stresses (cold, salinity, short day, and infection with a fungus). Twenty-two miRNA families responding to double and/or triple …

MelonBiotic and abiotic stressRNA regulatory networksPlant cultureDifferentially expressed mirnasComputational biologyPlant ScienceBiologyCrop productivitybiotic and abiotic stressSB1-1110crop production and climate changePlant developmentGENETICAMiRNAs and stress response in Cucumis melomiRNAs and stress response in Cucumis melomicroRNACrop production and climate changeRNA regulatory networks; RNA-seq and systems biology; biotic and abiotic stress; crop production and climate change; miRNAs and stress response in Cucumis meloStress conditionsTranscription factorGeneRNA-seq and systems biologyOriginal ResearchFrontiers in Plant 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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Positioning Europe for the EPITRANSCRIPTOMICS challenge

2018

WOS: 000444092300018 PubMed ID: 29671387 The genetic alphabet consists of the four letters: C, A, G, and T in DNA and C,A,G, and U in RNA. Triplets of these four letters jointly encode 20 different amino acids out of which proteins of all organisms are built. This system is universal and is found in all kingdoms of life. However, bases in DNA and RNA can be chemically modified. In DNA, around 10 different modifications are known, and those have been studied intensively over the past 20years. Scientific studies on DNA modifications and proteins that recognize them gave rise to the large field of epigenetic and epigenomic research. The outcome of this intense research field is the discovery t…

Epigenomics0301 basic medicine[SDV]Life Sciences [q-bio]Gene ExpressionDetection of RNA ModificationEpigenesis GeneticTranscriptomechemistry.chemical_compoundEcologyEvolution & EthologyNeoplasmsRNA NeoplasmEuropean FundingComputingMilieux_MISCELLANEOUSRNA Neoplasm/geneticsEpitranscriptomicsEpigenomicsStem CellsDNA NeoplasmNeoplasms/genetics[SDV] Life Sciences [q-bio]EuropeGene Expression Regulation NeoplasticDetection of RNA modificationGenetics & GenomicsComputational biologyBiologyBiochemistry & ProteomicsENCODE03 medical and health sciencesEpigenomics/standardsEpitranscriptomicsModel systemsHumansEpigeneticsDatabase of ModificationDNA Neoplasm/geneticsMolecular BiologyComputational & Systems BiologyEuropean funding[SDV.GEN]Life Sciences [q-bio]/GeneticsGene Expression ProfilingFOS: Clinical medicineNeurosciencesModel SystemsRNACell Biology030104 developmental biologychemistryGene Expression Profiling/methodsAlphabetTranscriptomeDNARNA 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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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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Mollusc shellomes: Past, present and future.

2020

13 pages; International audience; In molluscs, the shell fabrication requires a large array of secreted macromolecules including proteins and polysaccharides. Some of them are occluded in the shell during mineralization process and constitute the shell repertoire. The protein moieties, also called shell proteomes or, more simply, 'shellomes', are nowadays analyzed via high-throughput approaches. These latter, applied so far on about thirty genera, have evidenced the huge diversity of shellomes from model to model. They also pinpoint the recurrent presence of functional domains of diverse natures. Shell proteins are not only involved in guiding the mineral deposition, but also in enzymatic a…

[SDE] Environmental SciencesProteomeLarge arrayCarbohydratesMacroevolutionEmergent propertyLow complexity03 medical and health sciencesStructural BiologyAnimal Shells[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]ShellAnimalsBiomineralComplex systems biology[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/BiomaterialsShellomicsComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesMineralsMatrixChemistry030302 biochemistry & molecular biologyMineral depositionEvolvability[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate ZoologyEvolutionary biologyMolluscaProteome[SDE]Environmental Sciences[SDV.BA.ZI] Life Sciences [q-bio]/Animal biology/Invertebrate ZoologyMolluscJournal of structural biology
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