Search results for "Oligonucleotide Array Sequence Analysis"

showing 10 items of 236 documents

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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The distribution of active RNA polymerase II along the transcribed region is gene-specific and controlled by elongation factors.

2010

In order to study the intragenic profiles of active transcription, we determined the relative levels of active RNA polymerase II present at the 3'- and 5'-ends of 261 yeast genes by run-on. The results obtained indicate that the 3'/5' run-on ratio varies among the genes studied by over 12 log(2) units. This ratio seems to be an intrinsic characteristic of each transcriptional unit and does not significantly correlate with gene length, G + C content or level of expression. The correlation between the 3'/5' RNA polymerase II ratios measured by run-on and those obtained by chromatin immunoprecipitation is poor, although the genes encoding ribosomal proteins present exceptionally low ratios in …

Saccharomyces cerevisiae ProteinsbiologyGeneral transcription factorTranscription GeneticGenes FungalRNA-dependent RNA polymeraseRNA polymerase IISaccharomyces cerevisiaeGene Regulation Chromatin and EpigeneticsMolecular biologyTranscripció genèticaMutationGeneticsRNA polymerase Ibiology.proteinRNATranscription factor II FRNA Polymerase IITranscription factor II DTranscriptional Elongation FactorsTranscription factor II BRNA polymerase II holoenzymeOligonucleotide Array Sequence AnalysisNucleic acids research
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Comprehensive Analysis of Gene Expression Profiles of the Beet Armyworm Spodoptera exigua Larvae Challenged with Bacillus thuringiensis Vip3Aa Toxin

2013

Made available in DSpace on 2014-12-03T13:11:48Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-12-02Bitstream added on 2014-12-03T13:22:24Z : No. of bitstreams: 1 WOS000327944500105.pdf: 2100332 bytes, checksum: 71ea7616e9a7949eed19cff4ce56111f (MD5) Spanish Ministerio de Ciencia e Innovacion European FEDER funds Generalitat Valenciana Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Host-pathogen interactions result in complex relationship, many aspects of which are not completely understood. Vip proteins, which are Bacillus thuringensis (Bt) insecticidal toxins produced during the vegetative stage, are selectively effective against specific insect pests. This ne…

ScienceBacillus thuringiensisSpodopteraSpodopteraBacterial ProteinsBeet armywormBacillus thuringiensisExiguaGene expressionAnimalsMode of actionPest Control BiologicalGeneOligonucleotide Array Sequence AnalysisGeneticsRegulation of gene expressionMultidisciplinarybiologyQfungiRbiology.organism_classificationMolecular biologyLarvaMedicineTranscriptomeResearch ArticlePLoS ONE
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THE FINGERPRINT OF THE HUMAN GASTROINTESTINAL TRACT MICROBIOTA: A HYPOTHESIS OF MOLECULAR MAPPING

2017

The precise etiology of Inflammatory Bowel Disease (IDB) remains unclear and several factors are believed to play a role in its development and progression, including the composition of microbial communities resident in the gastrointestinal tract. Human intestinal microbiota are extensive with at least 15,000-36,000 bacterial species. However, thanks to the new development in sequencing and molecular taxonomic methodologies, our understanding of the microbiota population composition, dynamics, and ecology has greatly increased. Intestinal microbiota play a critical role in the maintenance of the host intestinal barrier homeostasis, while dysbiosis, which involves reduction in the microbiome…

Settore MED/12 - Gastroenterologiagastrointestinal tract microbiota dysbiosis Inflammatory Bowel Diseases molecular mapping fingerprintInflammatory Bowel DiseasesDNA FingerprintingAnti-Bacterial AgentsBacterial Typing TechniquesGastrointestinal MicrobiomeGastrointestinal TractSettore MED/18 - Chirurgia GeneraleRNA Ribosomal 16SDNA Barcoding TaxonomicDysbiosisHomeostasisHumansMolecular Targeted TherapyPrecision MedicineOligonucleotide Array Sequence Analysis
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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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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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The Saccharomyces cerevisiae flavodoxin-like proteins Ycp4 and Rfs1 play a role in stress response and in the regulation of genes related to metaboli…

2011

SPI1 is a gene whose expression responds to many environmental stimuli, including entry into stationary phase. We have performed a screening to identify genes that activate SPI1 promoter when overexpressed. The phosphatidylinositol- 4-phosphate 5-kinase gene MSS4 was identified as a positive activator of SPI1. Another SPI1 transcriptional regulator isolated was the flavodoxin-like gene YCP4. YCP4 and its homolog RFS1 regulate the expression of many genes during the late stages of growth. The double deletion mutant in YCP4 and its homolog RFS1 has an impact on gene expression related to metabolism by increasing the expression of genes involved in hexose transport and glycolysis, and decreasi…

TBX1Saccharomyces cerevisiae Proteins[SDV]Life Sciences [q-bio]Genes FungalFlavodoxinSaccharomyces cerevisiae[SDV.BC]Life Sciences [q-bio]/Cellular BiologyBiologyBiochemistryMicrobiology03 medical and health sciencesGene Expression Regulation FungalGene expressionGeneticsTranscriptional regulationPromoter Regions GeneticMolecular BiologyGeneHexose transportComputingMilieux_MISCELLANEOUS030304 developmental biologyOligonucleotide Array Sequence AnalysisGenetics0303 health sciencesSPI1Membrane GlycoproteinsActivator (genetics)Gene Expression Profiling030302 biochemistry & molecular biologyRNA FungalGeneral Medicine3. Good healthOxidative StressPhosphotransferases (Alcohol Group Acceptor)FermentationMutationTranslational elongation
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