Search results for "H30"

showing 10 items of 1587 documents

The Status of EGFR Modulates the Effect of miRNA-200c on ZEB1 Expression and Cell Migration in Glioblastoma Cells

2020

Migration of glioblastoma cells into surrounding tissue is one of the main features that makes this tumor incurable. We evaluated whole-genome miRNA expression profiling associated with different EGFR amplification patterns in 30 cases of primary glioblastoma. From the 64 miRNAs that showed differential expression between tumors with a high level of EGFR amplification and tumors without EGFR amplification, 40% were related with cell migration, being miR-200c the most differentially expressed between these two groups. We investigated the effect of miR-200c on ZEB1 expression and cell migration in an in vitro transfection model with a miR-200c mimic, a miR-200c inhibitor and siRNA targeting E…

cell migrationEGFR AmplificationApoptosisBiologyArticleCatalysismiR-200clcsh:ChemistryInorganic ChemistryDownregulation and upregulationCell MovementmicroRNABiomarkers TumorTumor Cells CulturedmedicineZEB1HumansGene silencingEGFR amplificationPhysical and Theoretical Chemistrylcsh:QH301-705.5Molecular BiologySpectroscopyCell ProliferationOrganic ChemistryglioblastomaGene AmplificationZinc Finger E-box-Binding Homeobox 1Cell migrationGeneral MedicineTransfectionPrognosismedicine.diseaseComputer Science ApplicationsErbB ReceptorsGene Expression Regulation NeoplasticMicroRNAslcsh:Biology (General)lcsh:QD1-999Cell cultureMutationCancer researchGlioblastomaInternational Journal of Molecular Sciences
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Relationships between metabolic fluxes and enzyme amino acid composition

2013

AbstractMetabolic fluxes are a key parameter of metabolic pathways being closely related to the kinetic properties of enzymes and could be conditional on their sequence characteristics. This study examines possible relationships between the metabolic fluxes and the amino acid (AA) composition (AAC) for enzymes from the yeast Saccharomyces cerevisiae glycolysis pathway. Metabolic fluxes were quantified by the COPASI tool using the kinetic models of Hynne and Teusink at 25 mM, 50 mM, and 100 mM of external glucose or employing literature data for cognate kinetic or stoichiometric models. The enzyme sequences were taken from the UniProtKB, and the AAC computed by the ExPASy/ProtParam tool. Mul…

chemistry.chemical_classificationGeneral Immunology and MicrobiologyQH301-705.5General NeuroscienceSaccharomyces cerevisiaeExPASyBiologybiology.organism_classificationGeneral Biochemistry Genetics and Molecular BiologyYeastAmino acidMetabolic pathwayEnzymechemistryBiochemistrymultivariate relationshipssaccharomyces cerevisiaeGlycolysisComposition (visual arts)Biology (General)glycolytic enzymesamino acid compositionGeneral Agricultural and Biological Sciencesmetabolic fluxesOpen Life Sciences
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Discriminative features of type I and type III secreted proteins from Gram-negative bacteria

2006

AbstractThe amino acid composition of sequences and structural attributes (α-helices, β-sheets) of C-and N-terminal fragments (50 amino acids) were compared to annotated (SWISS-PROT/ TrEMBL) type I (20 sequences) and type III (22 sequences) secreted proteins of Gram-negative bacteria.The discriminant analysis together with the stepwise forward and backward selection of variables revealed the frequencies of the residues Arg, Glu, Gly, Ile, Met, Pro, Ser, Tyr, Val as a set of strong (1-P < 0.001) predictor variables to discriminate between the sequences of type I and type III secreted proteins with a cross-validated accuracy of 98.6–100 %. The internal and external validity of discriminant…

chemistry.chemical_classificationGram-negative bacteriaGeneral Immunology and MicrobiologybiologyQH301-705.5General Neurosciencediscriminant analysisbiology.organism_classificationLinear discriminant analysisgram-negative bacteriaGeneral Biochemistry Genetics and Molecular Biologyamino acid sequenceAmino acidSecretory proteinBiochemistrychemistryprotein secretionSecretionBiology (General)General Agricultural and Biological SciencesPeptide sequenceBacteriaGramOpen Life Sciences
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Omega-3 PUFAs and gut microbiota: A preventive approach for colorectal cancer

2021

The influence of diet on the composition of the intestinal microbiota and related pathologies has been known for some time. Some classes of nutrients, such as fatty acids belonging to the omega 3 series, have particular effects on the bacteria that make up the intestinal microbiota. ω-3 PUFAs affect the gut microbiota in three different ways: by modulating the type and abundance of intestinal bacteria, by regulate SCFAs levels, and by alter the levels of proinflammatory mediators. Through these modalities, ω-3 PUFAs could be useful for the prevention of intestinal diseases such as Colorectal Cancer (CRC). The ability of ω-3 PUFAs to modulate the intestinal inflammatory response, to preserve…

chemistry.chemical_classificationω-3 PUFAsgut microbiotabiologyQH301-705.5Colorectal cancerbusiness.industryBiochemistry (medical)colorectal cancerPlant ScienceGut florabiology.organism_classificationmedicine.diseaseBioinformaticsdigestive systemGeneral Biochemistry Genetics and Molecular BiologyMucosal Associated Lymphatic Tissue (MALT)preventionchemistrymedicineBiology (General)businesscolorectale cancer prevention gut microbiota mucosal associated lymphatic tissue omega-3 PUFAsPolyunsaturated fatty acidJournal of Biological Research - Bollettino della Società Italiana di Biologia Sperimentale
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Removal of Chromophore-proximal Polar Atoms Decreases Water Content and Increases Fluorescence in a Near Infrared Phytofluor

2015

Genetically encoded fluorescent markers have revolutionized cell and molecular biology due to their biological compatibility, controllable spatiotemporal expression, and photostability. To achieve in vivo imaging in whole animals, longer excitation wavelength probes are needed due to the superior ability of near infrared light to penetrate tissues unimpeded by absorbance from biomolecules or autofluorescence of water. Derived from near infrared-absorbing bacteriophytochromes, phytofluors are engineered to fluoresce in this region of the electromagnetic spectrum, although high quantum yield remains an elusive goal. An invariant aspartate residue is of utmost importance for photoconversion in…

chromophore binding domain (CBD)Analytical chemistryQuantum yieldPhotochemistryBiochemistry Genetics and Molecular Biology (miscellaneous)BiochemistryFluorescence spectroscopychemistry.chemical_compoundDeinococcus radioduransWiPhy2Side chainMolecular Biologylcsh:QH301-705.5Wisconsin infrared phytofluor (WiPhy2)Original ResearchBiliverdinta114Physicsta1182Excitation-emission matrix (EEM)ChromophorePhotobleachingFluorescenceexcitation-emission matrix (EEM)chemistrylcsh:Biology (General)Excited statetetrapyrroleFrontiers in Molecular Biosciences
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(+)-(E)-Chrysanthenyl Acetate: A Molecule with Interesting Biological Properties Contained in the Anthemis secundiramea (Asteraceae) Flowers

2020

Anthemis secundiramea is a perennial herb native widespread throughout the Mediterranean basin. The oil obtained from the flowers of this plant has antimicrobial properties against gram-positive and -negative bacteria, and inhibits the biofilm formation. The extract of A. secundiramea also has antioxidant activity&mdash

chrysanthenyl acetateAntibacterial and antioxidant activitieAntioxidantmedicine.medical_treatmentAnthemis secundiramea01 natural scienceslcsh:Technologyessential oillcsh:ChemistryNutraceuticalBotanymedicineGeneral Materials Scienceantibacterial and antioxidant activitiesInstrumentationessential oilslcsh:QH301-705.5Fluid Flow and Transfer Processes<i>Anthemis secundiramea</i>Anthemis secundirameabiology010405 organic chemistryChemistrylcsh:TProcess Chemistry and TechnologyfungiGeneral EngineeringBiofilmfood and beveragesAsteraceaeAntimicrobialbiology.organism_classificationChrysanthenyl acetatelcsh:QC1-9990104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistrylcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040lcsh:Engineering (General). Civil engineering (General)Bacterialcsh:PhysicsApplied Sciences
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Circular RNAs in Sepsis: Biogenesis, Function, and Clinical Significance

2020

Sepsis is a life-threatening condition that occurs when the body responds to an infection that damages it is own tissues. The major problem in sepsis is rapid, vital status deterioration in patients, which can progress to septic shock with multiple organ failure if not properly treated. As there are no specific treatments, early diagnosis is mandatory to reduce high mortality. Despite more than 170 different biomarkers being postulated, early sepsis diagnosis and prognosis remain a challenge for clinicians. Recent findings propose that circular RNAs (circRNAs) may play a prominent role in regulating the patients’ immune system against different pathogens, including bacteria and viruses. Mou…

circular RNAs (circRNAs)ReviewBioinformaticssepsisSepsisalternative splicingImmune systemmedicineHumansDiagnostic biomarkerClinical significanceEpigeneticslcsh:QH301-705.5epigeneticsbusiness.industrySeptic shockRNA CircularGeneral Medicinemedicine.diseaselcsh:Biology (General)biomarkerBiomarker (medicine)transcriptionbusinessBiomarkersBiogenesisCells
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Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistic…

2008

Abstract Background Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analysis and Classification, in particular with regard to the prediction of the number of clusters in a dataset, usually established via internal validation measures. Despite the wealth of internal measures available in the literature, new ones have been recently proposed, some of them specifically for microarray data. Results We consider five such measures: Clest, Consensus (Consensus Clustering), FOM (Figure of Merit), Gap (Gap Statistics) and ME (Model Explorer), in addition to the classic WCSS (Within Cluster…

clustering microarray dataMicroarrayComputer scienceStatistics as Topiccomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsBiochemistryStructural BiologyDatabases GeneticConsensus clusteringStatisticsCluster (physics)AnimalsCluster AnalysisHumansCluster analysislcsh:QH301-705.5Molecular BiologyOligonucleotide Array Sequence AnalysisStructure (mathematical logic)Microarray analysis techniquesApplied MathematicsComputational BiologyComputer Science ApplicationsBenchmarkingComputingMethodologies_PATTERNRECOGNITIONlcsh:Biology (General)Gene chip analysislcsh:R858-859.7Data miningDNA microarraycomputerAlgorithmsSoftwareResearch ArticleBMC Bioinformatics
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Questions for The Psychology of the Artful Mind

2019

This paper reconstructs the &ldquo

cognitionpsychology of artvisual artCognitive Neurosciencemedia_common.quotation_subjectperceptionAesthetic experience050105 experimental psychologyArticle03 medical and health sciencesPresentation0302 clinical medicinePerception0501 psychology and cognitive scienceslcsh:QH301-705.5media_common05 social sciencesCognitionCell BiologySensory SystemsEpistemologyOphthalmologyGeneral purposelcsh:Biology (General)Settore M-FIL/04 - EsteticaPsychology of artpaleoanthropologyPsychologyConstruct (philosophy)030217 neurology & neurosurgeryOptometryVision
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Inducing Cold-Sensitivity in the Frigophilic Fly Drosophila montana by RNAi

2016

The work was supported by CNPq (Fellowship to FMV) and a NERC Studentship to DJP. Cold acclimation is a critical physiological adaptation for coping with seasonal cold. By increasing their cold tolerance individuals can remain active for longer at the onset of winter and can recover more quickly from a cold shock. In insects, despite many physiological studies, little is known about the genetic basis of cold acclimation. Recently, transcriptomic analyses in Drosophila virilis and D.montana revealed candidate genes for cold acclimation by identifying genes upregulated during exposure to cold. Here, we test the role of myo-inositol-1-phosphate synthase (Inos), in cold tolerance in D. montana …

cold-sensitivityQH301 Biologycold acclimationselviytyminenlcsh:Rfungilcsh:MedicineQH426 Geneticscold toleranceseasonal coldThermal adaptationQH301RNAitalvihyönteisetlcsh:Qlcsh:ScienceDrosophiliaQH426
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