Search results for "Omics technologies"

showing 4 items of 4 documents

The impact of “omics” technologies for grapevine (Vitis vinifera) research

2021

BACKGROUND: Grapevine (Vitis vinifera L.) as basis for winemaking is one of the most economically important plants in modern agriculture. As requirements in viticulture are increasing due to changing environments, terroir and pests, classical agriculture techniques reach their limits. OBJECTIVE: We summarize the impact of modern “omics” technologies on modern grapevine breeding and cultivation, as well as for dealing with challenges in viniculture caused by environmental or terroir changes and pests and diseases. In this review, we give an overview on current research on the influence of “omics” technologies on modern viticulture. RESULTS: Considerable advances in bioinformatics and analyti…

0106 biological sciences0301 basic medicineSoil SciencePlant ScienceHorticultureBiology01 natural sciencesBiochemistry03 medical and health sciences030104 developmental biologyBotanyVitis viniferaAgronomy and Crop Science010606 plant biology & botanyFood ScienceOmics technologiesJournal of Berry Research
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Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM

2019

Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage differentiation trajectories, along with the characterization of cellular heterogeneity and state transitions. Several methods have been developed for reconstructing developmental trajectories from single-cell transcriptomic data, but efforts on analyzing single-cell epigenomic data and on trajectory visualization remain limited. Here we present STREAM, an interactive pipeline capable of disentangling and visualizing complex branching trajectories from both single-cell transcriptomic and epigenomic data. We have tested STREAM on several synthetic and real datasets generated with different single-cell techno…

0301 basic medicineEpigenomicsMultifactor Dimensionality ReductionComputer scienceGeneral Physics and Astronomy02 engineering and technologyOmics dataMyoblastsMiceSingle-cell analysisGATA1 Transcription FactorMyeloid CellsLymphocyteslcsh:ScienceData processingMultidisciplinaryQGene Expression Regulation DevelopmentalRNA sequencingCell DifferentiationGenomics021001 nanoscience & nanotechnologyData processingDNA-Binding ProteinsInterferon Regulatory FactorsSingle-Cell Analysis0210 nano-technologyAlgorithmsOmics technologiesSignal TransductionLineage differentiationScienceComputational biologyGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health sciencesErythroid CellsAnimalsCell LineageGeneral Chemistrydevelopmental trajectories visualizationHematopoietic Stem CellsPipeline (software)Visualization030104 developmental biologyTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESCellular heterogeneitySingle cell analysilcsh:QGene expressionTranscriptomeTranscription FactorsNature Communications
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Metabolic differences between a wild and a wine strain of Saccharomyces cerevisiae during fermentation unveiled by multi‐omic analysis

2021

Saccharomyces cerevisiae, a widespread yeast present both in the wild and in fermentative processes, like winemaking. During the colonization of these human‐associated fermentative environments, certain strains of S. cerevisiae acquired differential adaptive traits that enhanced their physiological properties to cope with the challenges imposed by these new ecological niches. The advent of omics technologies allowed unveiling some details of the molecular bases responsible for the peculiar traits of S. cerevisiae wine strains. However, the metabolic diversity within yeasts remained poorly explored, in particular that existing between wine and wild strains of S. cerevisiae. For this purpose,…

Omics technologiesSaccharomyces cerevisiaeWineSaccharomyces cerevisiaeMicrobiologyTranscriptome03 medical and health sciencesMetabolomicsYeastsHumansMetabolomicsGeneEcology Evolution Behavior and Systematics030304 developmental biologyWinemakingGeneticsWine0303 health sciencesbiology030306 microbiologyfood and beveragesbiology.organism_classificationMetabolic pathwayPhenotypeMetabolismFermentationFermentationGene expression
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Proteomic Strategies and their Application in Cancer Research

2006

The understanding of carcinogenesis and tumor progression on a molecular basis needs a detailed study of proteins as effector molecules and as critical components of the multiple interconnected signaling pathways that drive the neoplastic phenotype. Thus, the proteomic approach represents a powerful tool for the challenge of the post-genomic era. The term “cancer proteome” refers to the collection of proteins expressed by a given cancer cell and should be considered as a highly dynamic entity within the cell, which affects a variety of cellular activities. The emerging proteomic analysis platforms including 2D-PAGE, mass spectrometry technologies, and protein microarrays represent powerful…

ProteomicsCancer ResearchBiomedical ResearchProtein Array AnalysisBiologyBioinformaticsProteomicsmedicine.disease_causeMass Spectrometry03 medical and health sciences0302 clinical medicineSettore BIO/13 - Biologia ApplicataNeoplasmsBiomarkers TumormedicineAnimalsHumansElectrophoresis Gel Two-DimensionalDrug discoveryCancerGeneral Medicinemedicine.diseasecancer proteomics protein microarray proteomics technologies tumor markers.OncologyTumor progression030220 oncology & carcinogenesisProteomeProtein microarrayCancer biomarkersCarcinogenesisTumori Journal
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