Search results for "profiling"

showing 10 items of 881 documents

Genomic response programs of Candida albicans following protoplasting and regeneration

2005

Transcription profiling of Candida albicans cells responding to the elimination of the wall (protoplasts) and posterior regeneration was explored. DNA microarrays were used to measure changes in the expression of 6039 genes, and the upregulated genes during regeneration at 28 degrees C were assigned to fourteen categories. A total of 407 genes were upregulated during the process, of which 144 reached a maximum after 1 h. MKC1, a gene encoding a member of the regulatory pathway involved in cell wall integrity was overexpressed. Time-dependent expression divided the genes into 40 clusters. Clusters 1-19 were highly expressed initially (time 0) and downregulated following incubation, whereas t…

Regulation of gene expressionbiologyGene Expression ProfilingProtoplastsbiology.organism_classificationMicrobiologyGenomeMolecular biologyFungal ProteinsGene expression profilingCell WallTranscription (biology)Gene Expression Regulation FungalCandida albicansGene expressionGeneticsCluster AnalysisRegenerationGenome FungalDNA microarrayCandida albicansGeneOligonucleotide Array Sequence AnalysisFungal Genetics and Biology
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An integrated framework for risk profiling of breast cancer patients following surgery.

2006

Objective: An integrated decision support framework is proposed for clinical oncologists making prognostic assessments of patients with operable breast cancer. The framework may be delivered over a web interface. It comprises a triangulation of prognostic modelling, visualisation of historical patient data and an explanatory facility to interpret risk group assignments using empirically derived Boolean rules expressed directly in clinical terms. Methods and materials: The prognostic inferences in the interface are validated in a multicentre longitudinal cohort study by modelling retrospective data from 917 patients recruited at Christie Hospital, Wilmslow between 1983 and 1989 and predictin…

Risk profilingAdultmedicine.medical_specialtyDecision support systemMedicine (miscellaneous)Breast NeoplasmsMachine learningcomputer.software_genreModels BiologicalRisk AssessmentDecision Support TechniquesUser-Computer InterfaceBreast cancerRisk groupsArtificial IntelligencemedicineConfidence IntervalsHealth Status IndicatorsHumansMedical physicsSurvival analysisMastectomyRetrospective StudiesInternetbusiness.industryPatient SelectionReproducibility of ResultsPatient dataMiddle Agedmedicine.diseaseDecision Support Systems ClinicalPrognosisConfidence intervalTreatment OutcomeNottingham Prognostic IndexFemaleArtificial intelligenceNeural Networks ComputerbusinesscomputerMonte Carlo MethodAlgorithmsArtificial intelligence in medicine
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Guideline-adherence and perspectives in the acute management of unstable angina - Initial results from the German chest pain unit registry.

2015

Abstract Background We investigated the current management of unstable angina pectoris (UAP) in certified chest pain units (CPUs) in Germany and focused on the European Society of Cardiology (ESC) guideline-adherence in the timing of invasive strategies or choice of conservative treatment options. More specifically, we analyzed differences in clinical outcome with respect to guideline-adherence. Method Prospective data from 1400 UAP patients were collected. Analyses of high-risk criteria with indication for invasive management and 3-month clinical outcome data were performed. Guideline-adherence was tested for a primarily conservative strategy as well as for percutaneous coronary interventi…

Risk profilingMalemedicine.medical_specialtyTime Factorsmedicine.medical_treatmentMedizinCardiologyChest painPatient AdmissionPercutaneous Coronary InterventionRisk FactorsInternal medicineGermanymedicineHumansAcute managementAngina UnstableProspective StudiesRegistriesAgedGuideline adherenceUnstable anginabusiness.industryPercutaneous coronary interventionDisease ManagementGuidelineMiddle Agedmedicine.diseaseConventional PCIEmergency medicinePractice Guidelines as TopicPhysical therapyCardiologyGuideline Adherencemedicine.symptombusinessCardiology and Cardiovascular MedicineHospital UnitsJournal of cardiology
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Generation of T Follicular Helper Cells Is Mediated by Interleukin-21 but Independent of T Helper 1, 2, or 17 Cell Lineages

2008

After activation, CD4(+) helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3 (STAT3). However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor beta (TGF-beta…

STAT3 Transcription FactorAdoptive cell transferCellular differentiationCellImmunologyGene ExpressionLymphocyte ActivationCXCR5ArticleInducible T-Cell Co-Stimulator LigandMiceInterleukin 21T-Lymphocyte SubsetsTransforming Growth Factor betaFollicular phasemedicineAnimalsCytotoxic T cellImmunology and AllergyCell LineageMOLIMMUNOOligonucleotide Array Sequence AnalysisB-LymphocytesT follicular helper cell differentiationbiologyInterleukin-6Reverse Transcriptase Polymerase Chain ReactionGene Expression ProfilingInterleukinsInterleukin-17ProteinsGerminal centerCell DifferentiationT-Lymphocytes Helper-InducerTransforming growth factor betaFlow CytometryGerminal CenterAdoptive TransferImmunohistochemistryMolecular biologyMice Mutant Strainsmedicine.anatomical_structureInfectious DiseasesT helper 1CELLIMMUNOImmunologybiology.proteinInterleukin 17Signal TransductionImmunity
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STAT3 links IL-22 signaling in intestinal epithelial cells to mucosal wound healing.

2009

Signal transducer and activator of transcription (STAT) 3 is a pleiotropic transcription factor with important functions in cytokine signaling in a variety of tissues. However, the role of STAT3 in the intestinal epithelium is not well understood. We demonstrate that development of colonic inflammation is associated with the induction of STAT3 activity in intestinal epithelial cells (IECs). Studies in genetically engineered mice showed that epithelial STAT3 activation in dextran sodium sulfate colitis is dependent on interleukin (IL)-22 rather than IL-6. IL-22 was secreted by colonic CD11c+ cells in response to Toll-like receptor stimulation. Conditional knockout mice with an IEC-specific d…

STAT3 Transcription FactorAnimals; Colitis/chemically induced; Colitis/immunology; Dextran Sulfate/pharmacology; Epithelial Cells/cytology; Epithelial Cells/physiology; Gene Expression Profiling; Inflammation/immunology; Inflammation/pathology; Interleukin-6/genetics; Interleukin-6/immunology; Interleukins/genetics; Interleukins/immunology; Intestinal Mucosa/cytology; Intestinal Mucosa/pathology; Mice; Mice Inbred C57BL; Mice Knockout; Oligonucleotide Array Sequence Analysis; STAT3 Transcription Factor/genetics; STAT3 Transcription Factor/metabolism; Signal Transduction/physiology; Wound HealingImmunologyInterleukin 22Mice03 medical and health sciences0302 clinical medicineIntestinal mucosaConditional gene knockoutImmunology and AllergyAnimalsIntestinal MucosaSTAT3Oligonucleotide Array Sequence Analysis030304 developmental biologyInflammationMice KnockoutWound Healing0303 health sciencesbiologyInterleukin-6Gene Expression ProfilingInterleukinsDextran SulfateBrief Definitive ReportEpithelial CellsCell BiologySTAT3 Transcription FactorColitisIntestinal epithelium3. Good healthMice Inbred C57BLbiology.proteinCancer researchSTAT proteinWound healingSignal Transduction030215 immunology
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Addition of ammonia or amino acids to a nitrogen-depleted medium affects gene expression patterns in yeast cells during alcoholic fermentation

2007

Yeast cells require nitrogen and are capable of selectively using good nitrogen sources in preference to poor ones by means of the regulatory mechanism known as nitrogen catabolite repression (NCR). Herein, the effect of ammonia or amino acid addition to nitrogen-depleted medium on global yeast expression patterns in yeast cells was studied using alcoholic fermentation as a system. The results indicate that there is a differential reprogramming of the gene expression depending on the nitrogen source added. Ammonia addition resulted in a higher expression of genes involved in amino acids biosynthesis while amino acid addition prepares the cells for protein biosynthesis. Therefore, a high per…

Saccharomyces cerevisiae ProteinsBiologyApplied Microbiology and BiotechnologyMicrobiologySaccharomyceschemistry.chemical_compoundBiosynthesisAmmoniaGene expressionProtein biosynthesisRNA MessengerAmino AcidsGeneAmino acid synthesisOligonucleotide Array Sequence Analysischemistry.chemical_classificationEthanolReverse Transcriptase Polymerase Chain ReactionGene Expression ProfilingRNA FungalGeneral MedicineYeastBiosynthetic PathwaysCulture MediaAmino acidGene Expression RegulationBiochemistrychemistryProtein BiosynthesisFermentationFermentationFEMS Yeast Research
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Yeast gene CMR1/YDL156W is consistently co-expressed with genes participating in DNA-metabolic processes in a variety of stringent clustering experim…

2013

© 2013 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited. The binarization of consensus partition matrices (Bi-CoPaM) method has, among its unique features, the ability to perform ensemble clustering over the same set of genes from multiple microarray datasets by using various clustering methods in order to generate tunable tight clusters. Therefore, we have used the Bi-CoPaM method to the most synchronized 500 cell-cycle-regulated yeast genes from different microarray datasets to produce four tight, specific …

Saccharomyces cerevisiae ProteinsCMR1/YDL156W1004Biomedical EngineeringBiophysicsG1/S transitionDNA repairBioengineeringDNA-Directed DNA PolymeraseSaccharomyces cerevisiaeBiologyDNA replication2244BiochemistryYeast geneBiomaterialschemistry.chemical_compoundReplication Protein Abinarization of consensus partition matrixCluster AnalysisCluster analysisGeneDNA-directed DNA polymeraseLicenseResearch Articlesta113GeneticsModels GeneticGene Expression ProfilingDNACreative commonsMicroarray AnalysisDNA-Binding ProteinsGenes cdcGene expression profilingchemistryDNABiotechnology
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Molecular response of Saccharomyces cerevisiae wine and laboratory strains to high sugar stress conditions.

2010

One of the stress conditions that can affect Saccharomyces cerevisiae cells during their growth is osmotic stress. Under particular environments (for instance, during the production of alcoholic beverages) yeasts have to cope with osmotic stress caused by high sugar concentrations. Although the molecular changes and pathways involved in the response to saline or sorbitol stress are widely understood, less is known about how cells respond to high sugar concentrations. In this work we present a comprehensive study of the response to this form of stress which indicates important transcriptomic changes, especially in terms of the genes involved in both stress response and respiration, and the i…

Saccharomyces cerevisiae ProteinsOsmotic shockProteomeMutantSaccharomyces cerevisiaeWineSaccharomyces cerevisiaeBiologyMicrobiologychemistry.chemical_compoundStress PhysiologicalGene Expression Regulation FungalGene expressionPhosphorylationOligonucleotide Array Sequence AnalysisGene Expression ProfilingRNA FungalGeneral Medicinebiology.organism_classificationYeastGlucosechemistryBiochemistryMolecular ResponseProteomeMutationSorbitolMitogen-Activated Protein KinasesFood ScienceInternational journal of food microbiology
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Transcriptomic and Proteomic Approach for Understanding the Molecular Basis of Adaptation of Saccharomyces cerevisiae to Wine Fermentation

2006

ABSTRACT Throughout alcoholic fermentation, Saccharomyces cerevisiae cells have to cope with several stress conditions that could affect their growth and viability. In addition, the metabolic activity of yeast cells during this process leads to the production of secondary compounds that contribute to the organoleptic properties of the resulting wine. Commercial strains have been selected during the last decades for inoculation into the must to carry out the alcoholic fermentation on the basis of physiological traits, but little is known about the molecular basis of the fermentative behavior of these strains. In this work, we present the first transcriptomic and proteomic comparison between …

Saccharomyces cerevisiae ProteinsProteomeTranscription GeneticSaccharomyces cerevisiaeSulfur metabolismWineSaccharomyces cerevisiaeEthanol fermentationBiologyApplied Microbiology and BiotechnologyGene Expression Regulation FungalHeat shock proteinFermentation in winemakingWineEcologyGene Expression ProfilingPhysiology and Biotechnologybiology.organism_classificationAdaptation PhysiologicalYeastBiochemistryFermentationFermentationHeat-Shock ResponseFood ScienceBiotechnologyApplied and Environmental Microbiology
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There is a steady-state transcriptome in exponentially growing yeast cells

2010

The growth of yeast cells in batches in glucose-based media is a standard condition in most yeast laboratories. Most gene expression experiments are done by taking this condition as a reference. Presumably, cells are in a stable physiological condition that can be easily reproduced in other laboratories. With this assumption, however, it is necessary to consider that the average amount of the mRNAs per cell for most genes does not change during exponential growth. That is to say, there is a steady-state condition for the transcriptome. However, this has not been rigorously demonstrated to date. In this work we take several cell samples during the exponential phase growth to perform a kineti…

Saccharomyces cerevisiaeBioengineeringMycologySaccharomyces cerevisiaeApplied Microbiology and BiotechnologyBiochemistrySaccharomycesGenètica molecularTranscriptomeSaccharomycesTranscripció genèticaExponential growthGene expressionGeneticsRNA MessengerGeneticsbiologyGene Expression ProfilingPhysiological conditionRNA Fungalbiology.organism_classificationYeastCulture MediaCell biologyGene expression profilingRNABiotechnologyYeast
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