Search results for "Ligo"

showing 10 items of 1427 documents

A systems biology perspective on cholangiocellular carcinoma development: focus on MAPK-signaling and the extracellular environment.

2008

Background/Aims Multiple genes have been implicated in cholangiocellular carcinoma (CCC) development. However, the overall neoplastic risk is likely associated with a much lower number of critical physiological pathways. Methods To investigate this hypothesis, we extracted all published genetic associations for the development of CCC from PubMed (genetic association studies, but also studies associating genes and CCC in general, i.e. functional studies in cell lines, genetic studies in humans, knockout mice etc.) and integrated CCC microarray data. Results We demonstrated the MAPK pathway was consistently enriched in CCC. Comparing our data to genetic associations in HCC often successfully …

SorafenibMAPK/ERK pathwayNiacinamideMAP Kinase Signaling SystemPyridinesSystems biologyAntineoplastic AgentsOncogenomicsBiologyCholangiocarcinomaMiceDatabases GeneticmedicineAnimalsHumansGeneOligonucleotide Array Sequence AnalysisHepatologyMicroarray analysis techniquesKinasePhenylurea CompoundsSystems BiologyBenzenesulfonatesComputational BiologySorafenibBiological EvolutionBile Ducts IntrahepaticBile Duct NeoplasmsMultigene FamilyImmunologyKnockout mouseCancer researchExtracellular Spacemedicine.drugJournal of hepatology
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Chemoenzymatic Synthesis of Functional Sialyl LewisX Mimetics with a Heteroaromatic Core

2014

Functional mimetics of the sialyl Lewis(X) tetrasaccharide were prepared by the enzymatic sialylation of a 1,3-diglycosylated indole and a glycosyl azide, which was subsequently transformed into a 1,4-diglycosylated 1,2,3-triazole, by using the trans-sialidase of Trypanosoma cruzi. These compounds inhibited the binding of E-, L-, and P-selectin-coated nanoparticles to polyacrylamide-bound sialyl-Lewis(X) -containing neighboring sulfated tyrosine residues (sTyr/sLe(X) -PAA) at low or sub-millimolar concentrations. Except for E-selectin, the mimetics showed higher activities than the natural tetrasaccharide.

Spectrometry Mass Electrospray IonizationStereochemistryProton Magnetic Resonance SpectroscopyTrypanosoma cruziMolecular Sequence DataNeuraminidaseOligosaccharidessaccharide mimeticsBiochemistryenzyme catalysisEnzyme catalysischemistry.chemical_compoundSulfationTetrasaccharideAnimalsGlycosylTyrosineCarbon-13 Magnetic Resonance SpectroscopySialyl Lewis X AntigenGlycoproteinsIndole testheterocyclesOrganic ChemistryMolecular Mimicrycell adhesionGeneral ChemistryFull Paperscarbohydrates (lipids)Sialyl-Lewis XchemistryCarbohydrate SequenceSelectinsAzideChemistry, an Asian Journal
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Levansucrases from Pseudomonas syringae pv. tomato and P. chlororaphis subsp. aurantiaca: Substrate specificity, polymerizing properties and usage of…

2011

Levansucrases of Pseudomonas syringae pv. tomato DC3000 (Lsc3) and Pseudomonas chlororaphis subsp. aurantiaca (also Pseudomonas aurantiaca) (LscA) have 73% identity of protein sequences, similar substrate specificity and kinetic properties. Both enzymes produce levan and fructooligosaccharides (FOS) of varied length from sucrose, raffinose and sugar beet molasses. A novel high-throughput chip-based nanoelectrospray mass spectrometric method was applied to screen alternative fructosyl acceptors for levansucrases. Lsc3 and LscA could both transfructosylate D-xylose, D-fucose, L- and D-arabinose, D-ribose, D-sorbitol, xylitol, xylobiose, D-mannitol, D-galacturonic acid and methyl-α-D-glucopyra…

Spectrometry Mass Electrospray IonizationSucroseRecombinant Fusion ProteinsMolecular Sequence DataPseudomonas syringaeBioengineeringFructoseXylitolApplied Microbiology and BiotechnologySubstrate SpecificityStructure-Activity Relationshipchemistry.chemical_compoundRaffinoseBacterial ProteinsPseudomonasPseudomonas aurantiacaPseudomonas syringaeXylobioseHistidineAmino Acid SequenceRaffinoseHistidinebiologySubstrate (chemistry)General Medicinebiology.organism_classificationPseudomonas chlororaphisFructansHexosyltransferaseschemistryBiochemistryMutagenesis Site-DirectedChromatography Thin LayerOligopeptidesSequence AlignmentBiotechnologyJournal of Biotechnology
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Structural analysis of the lipid A isolated from Hafnia alvei 32 and PCM 1192 lipopolysaccharides[S]

2010

Hafnia alvei, a Gram-negative bacterium, is an opportunistic pathogen associated with mixed hospital infections, bacteremia, septicemia, and respiratory diseases. The majority of clinical symptoms of diseases caused by this bacterium have a lipopolysaccharide (LPS, endotoxin)-related origin. The lipid A structure affects the biological activity of endotoxins predominantly. Thus, the structure of H. alvei lipid A was analyzed for the first time. The major form, asymmetrically hexa-acylated lipid A built of beta-D-GlcpN4P-(1-->6)-alpha-D-GlcpN1P substituted with (R)-14:0(3-OH) at N-2 and O-3, 14:0(3-(R)-O-12:0) at N-2', and 14:0(3-(R)-O-14:0) at O-3', was identified by ESI-MS(n) and MALDI-tim…

Spectrometry Mass Electrospray IonizationendotoxinLipopolysaccharideAcylationOligosaccharidesQD415-436BiochemistryMicrobiologyLipid Achemistry.chemical_compoundOpportunistic pathogenEndocrinologyPalmitoylationEscherichiapalmitoylationmass spectrometryPolish Collection of MicroorganismsbiologyHafnia alveiBiological activityCell Biologybiology.organism_classificationOxygenHafnia alveiLipid AchemistrySpectrometry Mass Matrix-Assisted Laser Desorption-Ionizationlipids (amino acids peptides and proteins)BacteriaResearch ArticleJournal of Lipid Research
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Dicopper(II) metallacyclophanes with photoswitchable oligoacene spacers: a joint experimental and computational study on molecular magnetic photoswit…

2018

Dinuclear copper(II) complexes of the metallacyclophane-type, (nBu4N)4[Cu2(2,6-anba)2] (1) and (nBu4N)4[Cu2(1,5-naba)2]·4H2O (2) with photoactive 2,6-anthracene-(2,6-anba) and 1,5-naphthalenebis(oxamate) (1,5-naba) bridging ligands, are reported. They undergo a thermally reversible, solid-state photomagnetic (ON/OFF) switching between the moderately strong antiferromagnetically coupled dicopper(II) species and the corresponding magnetically uncoupled [4+4] photocycloaddition product. Density functional calculations give further insights on the intramolecular (“pseudo-bimolecular”) photocycloaddition reaction of the two facing 2,6-anthracene or 1,5-naphthalene spacers in this novel family of…

Spintronics010405 organic chemistryChemistryIntermetallicchemistry.chemical_elementOligoacenes010402 general chemistry01 natural sciencesCopper0104 chemical sciencesIonPhotochemical reactivityCrystallographyDensity functional calculationsIntramolecular forceMagnetic propertiesMaterials ChemistryAntiferromagnetismPhotochemical reactivityPhysical and Theoretical ChemistryCopper
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Lipid and phase specificity of α-toxin from S. aureus

2013

AbstractThe pore forming toxin Hla (α-toxin) from Staphylococcus aureus is an important pathogenic factor of the bacterium S. aureus and also a model system for the process of membrane-induced protein oligomerisation and pore formation. It has been shown that binding to lipid membranes at neutral or basic pH requires the presence of a phosphocholine-headgroup. Thus, sphingomyelin and phosphatidylcholine may serve as interaction partners in cellular membranes. Based on earlier studies it has been suggested that rafts of sphingomyelin are particularly efficient in toxin binding. In this study we compared the oligomerisation of Hla on liposomes of various lipid compositions in order to identif…

Staphylococcus aureusPore formationLiquid ordered phaseBacterial ToxinsLipid BilayersBiophysicsBiologyBiochemistryPhase Transitionchemistry.chemical_compoundHemolysin ProteinsMembrane LipidsMembrane MicrodomainsPhosphatidylcholineBinding siteLipid raftUnilamellar LiposomesPore-forming toxinLiposomeArtificial membranesBinding SitesCell MembraneOligomerisationCell BiologyS. aureusSphingomyelinsMembraneBiochemistrychemistryMicroscopy FluorescenceMutationPhosphatidylcholineslipids (amino acids peptides and proteins)Protein MultimerizationToxinSphingomyelinBiochimica et Biophysica Acta (BBA) - Biomembranes
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Tests for Differentiation in Gene Expression Using a Data-Driven Order or Weights for Hypotheses

2005

In the analysis of gene expression by microarrays there are usually few subjects, but high-dimensional data. By means of techniques, such as the theory of spherical tests or with suitable permutation tests, it is possible to sort the endpoints or to give weights to them according to specific criteria determined by the data while controlling the multiple type I error rate. The procedures developed so far are based on a sequential analysis of weighted p-values (corresponding to the endpoints), including the most extreme situation of weighting leading to a complete order of p-values. When the data for the endpoints have approximately equal variances, these procedures show good power properties…

Statistics and ProbabilityModels StatisticalModels GeneticBiometricsGene Expression ProfilingWord error rateFamilywise error rateGeneral MedicineData-drivenWeightingData Interpretation StatisticalsortComputer Simulationp-valueStatistics Probability and UncertaintyAlgorithmAlgorithmsOligonucleotide Array Sequence AnalysisMathematicsType I and type II errorsBiometrical Journal
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RNA-Seq Atlas—a reference database for gene expression profiling in normal tissue by next-generation sequencing

2012

Abstract Motivation: Next-generation sequencing technology enables an entirely new perspective for clinical research and will speed up personalized medicine. In contrast to microarray-based approaches, RNA-Seq analysis provides a much more comprehensive and unbiased view of gene expression. Although the perspective is clear and the long-term success of this new technology obvious, bioinformatics resources making these data easily available especially to the biomedical research community are still evolving. Results: We have generated RNA-Seq Atlas, a web-based repository of RNA-Seq gene expression profiles and query tools. The website offers open and easy access to RNA-Seq gene expression pr…

Statistics and ProbabilitySystems biologyRNA-SeqComputational biologyBiologycomputer.software_genreBiochemistryNeoplasmsGene expressionHumansMicroarray databasesMolecular BiologyGeneOligonucleotide Array Sequence AnalysisInternetSequence Analysis RNAbusiness.industryGene Expression ProfilingHigh-Throughput Nucleotide SequencingComputer Science ApplicationsGene expression profilingComputational MathematicsComputational Theory and MathematicsGene chip analysisData miningPersonalized medicineDatabases Nucleic AcidbusinesscomputerSoftwareBioinformatics
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Structure Learning in Nested Effects Models

2007

Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs of phenotyping studies, e.g., the effects showing in gene expression profiles or as morphological features of the perturbed cell. In this paper we expand the statistical basis of NEMs in four directions. First, we derive a new formula for the likelihood function of a NEM, which generalizes previous results for binary data. Second, we prove model identifiability under mild assumptions. Third, we show that the new formulation of the likelihood allows efficiency in traversing model space. Fourth, we…

Statistics and ProbabilityTraverseComputer scienceMolecular Networks (q-bio.MN)Genes MHC Class IIPerturbation (astronomy)Genes InsectFeature selectionQuantitative Biology - Quantitative Methods03 medical and health sciences0302 clinical medicineGeneticsAnimalsheterocyclic compoundsQuantitative Biology - Molecular NetworksGraphical modelMolecular BiologyQuantitative Methods (q-bio.QM)Oligonucleotide Array Sequence Analysis030304 developmental biologyLikelihood Functions0303 health sciencesNanoelectromechanical systemsModels StatisticalModels GeneticGene Expression ProfilingGenomicsComputational MathematicsDrosophila melanogasterPhenotypeFOS: Biological sciencesBinary dataIdentifiabilityRNA InterferenceLikelihood functionAlgorithmAlgorithms030217 neurology & neurosurgery
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Efficient change point detection in genomic sequences of continuous measurements

2010

Abstract Motivation: Knowing the exact locations of multiple change points in genomic sequences serves several biological needs, for instance when data represent aCGH profiles and it is of interest to identify possibly damaged genes involved in cancer and other diseases. Only a few of the currently available methods deal explicitly with estimation of the number and location of change points, and moreover these methods may be somewhat vulnerable to deviations of model assumptions usually employed. Results: We present a computationally efficient method to obtain estimates of the number and location of the change points. The method is based on a simple transformation of data and it provides re…

Statistics and Probabilitymodel selectionBreast Neoplasmscomputer.software_genreBiochemistryCell LineSimple (abstract algebra)Cell Line TumorHumansComputer Simulationpiecewise constant modelMolecular BiologyMathematicsOligonucleotide Array Sequence AnalysisSupplementary dataComparative Genomic HybridizationModels StatisticalSeries (mathematics)Model selectionGenomicsComputer Science ApplicationsComputational MathematicsR packageTransformation (function)Computational Theory and MathematicsChange pointsChangepointaCGH analysiFemaleData miningSettore SECS-S/01 - StatisticacomputerChange detection
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