Search Results - "Burgess, Karl"
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Topic modeling for untargeted substructure exploration in metabolomics
Published in Proceedings of the National Academy of Sciences - PNAS (29-11-2016)“…The potential of untargeted metabolomics to answer important questions across the life sciences is hindered because of a paucity of computational tools that…”
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Toward Global Metabolomics Analysis with Hydrophilic Interaction Liquid Chromatography–Mass Spectrometry: Improved Metabolite Identification by Retention Time Prediction
Published in Analytical chemistry (Washington) (15-11-2011)“…Metabolomics is an emerging field of postgenomic biology concerned with comprehensive analysis of small molecules in biological systems. However, difficulties…”
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IDEOM: an Excel interface for analysis of LC-MS-based metabolomics data
Published in Bioinformatics (Oxford, England) (01-04-2012)“…The application of emerging metabolomics technologies to the comprehensive investigation of cellular biochemistry has been limited by bottlenecks in data…”
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Stable Isotope-Assisted Metabolomics for Network-Wide Metabolic Pathway Elucidation
Published in Analytical chemistry (Washington) (16-10-2012)“…The combination of high-resolution LC–MS-based untargeted metabolomics with stable isotope tracing provides a global overview of the cellular fate of precursor…”
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Probing the metabolic network in bloodstream-form Trypanosoma brucei using untargeted metabolomics with stable isotope labelled glucose
Published in PLoS pathogens (01-03-2015)“…Metabolomics coupled with heavy-atom isotope-labelled glucose has been used to probe the metabolic pathways active in cultured bloodstream form trypomastigotes…”
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Nacre Topography Produces Higher Crystallinity in Bone than Chemically Induced Osteogenesis
Published in ACS nano (25-07-2017)“…It is counterintuitive that invertebrate shells can induce bone formation, yet nacre, or mother of pearl, from marine shells is both osteoinductive and…”
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Unsupervised Discovery and Comparison of Structural Families Across Multiple Samples in Untargeted Metabolomics
Published in Analytical chemistry (Washington) (18-07-2017)“…In untargeted metabolomics approaches, the inability to structurally annotate relevant features and map them to biochemical pathways is hampering the full…”
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Recent advances in liquid and gas chromatography methodology for extending coverage of the metabolome
Published in Current opinion in biotechnology (01-02-2017)“…Graphical abstract…”
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Skeletal stem cell physiology on functionally distinct titania nanotopographies
Published in Biomaterials (01-10-2011)“…Abstract Functionalisation of the surface of orthopaedic implants with nanotopographies that could stimulate in situ osteogenic differentiation of the…”
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Nanoscale surfaces for the long-term maintenance of mesenchymal stem cell phenotype and multipotency
Published in Nature materials (17-07-2011)“…There is currently an unmet need for the supply of autologous, patient-specific stem cells for regenerative therapies in the clinic. Mesenchymal stem cell…”
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A novel metabolomic approach used for the comparison of Staphylococcus aureus planktonic cells and biofilm samples
Published in Metabolomics (01-04-2016)“…Introduction Bacterial cell characteristics change significantly during differentiation between planktonic and biofilm states. While established methods exist…”
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The emergence of proton nuclear magnetic resonance metabolomics in the cardiovascular arena as viewed from a clinical perspective
Published in Atherosclerosis (01-11-2014)“…Abstract The ability to phenotype metabolic profiles in serum has increased substantially in recent years with the advent of metabolomics. Metabolomics is the…”
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MetAssign: probabilistic annotation of metabolites from LC-MS data using a Bayesian clustering approach
Published in Bioinformatics (Oxford, England) (01-10-2014)“…The use of liquid chromatography coupled to mass spectrometry has enabled the high-throughput profiling of the metabolite composition of biological samples…”
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Substantial Extracellular Metabolic Differences Found Between Phylogenetically Closely Related Probiotic and Pathogenic Strains of Escherichia coli
Published in Frontiers in microbiology (2019)“…Since its first isolation a century ago, the gut inhabitant strain Nissle 1917 has been shown to have probiotic activities; however, it is yet not fully…”
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Nanotopographical Induction of Osteogenesis through Adhesion, Bone Morphogenic Protein Cosignaling, and Regulation of MicroRNAs
Published in ACS nano (28-10-2014)“…It is emerging that nanotopographical information can be used to induce osteogenesis from mesenchymal stromal cells from the bone marrow, and it is hoped that…”
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Candida albicans Mycofilms Support Staphylococcus aureus Colonization and Enhances Miconazole Resistance in Dual-Species Interactions
Published in Frontiers in microbiology (23-02-2017)“…Polymicrobial inter-kingdom biofilm infections represent a clinical management conundrum. The presence of co-isolation of bacteria and fungi complicates the…”
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Biostimulants for Plant Growth and Mitigation of Abiotic Stresses: A Metabolomics Perspective
Published in Metabolites (10-12-2020)“…Adverse environmental conditions due to climate change, combined with declining soil fertility, threaten food security. Modern agriculture is facing a pressing…”
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A novel targeted/untargeted GC-Orbitrap metabolomics methodology applied to Candida albicans and Staphylococcus aureus biofilms
Published in Metabolomics (01-12-2016)“…Introduction Combined infections from Candida albicans and Staphylococcus aureus are a leading cause of death in the developed world. Evidence suggests that…”
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Dynamic Surfaces for the Study of Mesenchymal Stem Cell Growth through Adhesion Regulation
Published in ACS nano (26-07-2016)“…Out of their niche environment, adult stem cells, such as mesenchymal stem cells (MSCs), spontaneously differentiate. This makes both studying these important…”
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Optimisation of surfactin yield in Bacillus using data-efficient active learning and high-throughput mass spectrometry
Published in Computational and structural biotechnology journal (01-12-2024)“…Integration of machine learning and high throughput measurements are essential to drive the next generation of the design-build-test-learn (DBTL) cycle in…”
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