Search results for "computational"

showing 10 items of 5884 documents

Whole-blood transcriptome profiling reveals signatures of metformin and its therapeutic response

2020

Metformin, a biguanide agent, is the first-line treatment for type 2 diabetes mellitus due to its glucose-lowering effect. Despite its wide application in the treatment of multiple health conditions, the glycemic response to metformin is highly variable, emphasizing the need for reliable biomarkers. We chose the RNA-Seq-based comparative transcriptomics approach to evaluate the systemic effect of metformin and highlight potential predictive biomarkers of metformin response in drug-naive volunteers with type 2 diabetes in vivo. The longitudinal blood-derived transcriptome analysis revealed metformin-induced differential expression of novel and previously described genes involved in cholester…

0301 basic medicineMaleendocrine system diseasesMolecular biologyGene ExpressionType 2 diabetesPharmacologyBiochemistryTranscriptome0302 clinical medicineEndocrinologyMedical ConditionsSequencing techniquesGastrointestinal CancersBreast TumorsMedicine and Health SciencesHomeostasisEnergy-Producing OrganellesWhole bloodMultidisciplinarySmall nuclear RNABiguanideQRRNA sequencingGenomicsMiddle AgedMetforminMetforminMitochondriaType 2 DiabetesNucleic acidsCholesterolSmall nucleolar RNAOncology030220 oncology & carcinogenesisMedicineFemaleCellular Structures and OrganellesTranscriptome Analysismedicine.drugResearch Articlemedicine.drug_classEndocrine DisordersScienceGastroenterology and HepatologyBioenergetics03 medical and health sciencesBreast CancermedicineGeneticsDiabetes MellitusHumansNon-coding RNAGlycemicAgedbusiness.industryGene Expression ProfilingType 2 Diabetes Mellitusnutritional and metabolic diseasesBiology and Life SciencesComputational BiologyCancers and NeoplasmsCell Biologymedicine.diseaseGenome AnalysisGene regulationGene expression profilingResearch and analysis methods030104 developmental biologyMolecular biology techniquesMetabolic DisordersRNAbusinessBlood Chemical AnalysisPLoS ONE
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Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations

2020

Theta oscillations play a major role in temporarily defining the hippocampal rate code by translating behavioral sequences into neuronal representations. However, mechanisms constraining phase timing and cell-type-specific phase preference are unknown. Here, we employ computational models tuned with evolutionary algorithms to evaluate phase preference of individual CA1 pyramidal cells recorded in mice and rats not engaged in any particular memory task. We applied unbiased and hypothesis-free approaches to identify effects of intrinsic and synaptic factors, as well as cell morphology, in determining phase preference. We found that perisomatic inhibition delivered by complementary populations…

0301 basic medicineMaleneural circuits.Patch-Clamp TechniquesGeneral Physics and AstronomyAction PotentialsHippocampal formationCell morphologySettore BIO/09 - Fisiologia0302 clinical medicineTheta Rhythmlcsh:ScienceBiophysical modelPhysicsNeurons0303 health sciencesComputational modelMultidisciplinaryBiología molecularPyramidal CellsQDynamics (mechanics)Theta oscillationsFemaleAlgorithmsScienceNeurocienciasModels NeurologicalPhase (waves)Mice TransgenicNeural circuitsGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health sciencesGlutamatergicMemory taskAnimalsComputer SimulationRats WistarCA1 Region Hippocampal030304 developmental biologyGeneral ChemistryMice Inbred C57BLKinetics030104 developmental biologySynapseslcsh:QNeuroscience030217 neurology & neurosurgeryBiophysical models
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Sequential cleavage of the proteins encoded by HNOT/ALG3, the human counterpart of the Drosophila NOT and yeast ALG3 gene, results in products acting…

2017

This study provides first insights into the biosynthesis, structure, biochemistry and complex processing of the proteins encoded by hNOT/ALG3, the human counterpart of the Drosophila Neighbour of TID (NOT) and the yeast asparagine linked glycosylation 3 gene (ALG3), which encodes a mannosyltransferase. Unambiguous evidence that both the fly and human proteins act as mannosyltransferases has not been provided yet. Previously, we showed that hNOT/ALG3 encodes two alternatively spliced main transcripts, hNOT-1/ALG3-1 and hNOT-4/ALG3-4, and their 15 truncated derivatives that lack diverse sets of exons and/or carry point mutations that result in premature termination codons. Here we show that t…

0301 basic medicineMannosyltransferaseGlycosylationSaccharomyces cerevisiae ProteinsGlycosylationProtein ConformationRNA SplicingSaccharomyces cerevisiaeBiologyMannosyltransferases03 medical and health scienceschemistry.chemical_compoundExonNuclear Receptor Subfamily 4 Group A Member 2GeneticsAnimalsHumansAmino Acid SequenceAsparagineMolecular BiologyGeneGenetics (clinical)Cellular compartmentPoint mutationComputational BiologyMembrane ProteinsExonsGeneral MedicineCell biologyAlternative Splicing030104 developmental biologychemistryCodon NonsenseDrosophilaCytokinesisHuman Molecular Genetics
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Search for a Minimal Set of Parameters by Assessing the Total Optimization Potential for a Dynamic Model of a Biochemical Network.

2017

Selecting an efficient small set of adjustable parameters to improve metabolic features of an organism is important for a reduction of implementation costs and risks of unpredicted side effects. In practice, to avoid the analysis of a huge combinatorial space for the possible sets of adjustable parameters, experience-, and intuition-based subsets of parameters are often chosen, possibly leaving some interesting counter-intuitive combinations of parameters unrevealed. The combinatorial scan of possible adjustable parameter combinations at the model optimization level is possible; however, the number of analyzed combinations is still limited. The total optimization potential (TOP) approach is…

0301 basic medicineMathematical optimizationLinear programmingApplied Mathematics0206 medical engineeringComputational Biology02 engineering and technologySaccharomyces cerevisiaeModels BiologicalSmall setBiochemical networkEnzymes03 medical and health sciences030104 developmental biologyFermentationGeneticsComputer SimulationMETABOLIC FEATURESGlycolysis020602 bioinformaticsMetabolic Networks and PathwaysBiotechnologyMathematicsIntuitionIEEE/ACM transactions on computational biology and bioinformatics
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Proteins as Functional Units of Biocalcification – An Overview

2016

High-throughput approaches such as genomics, transcriptomics and proteomics have led to the discovery of a larger set of biomineralization genes than previously foreseen. These gene lists are often difficult to decode in light of the current models of calcification. Here we overview the proteins available in UniProt (Universal Protein Resource), that were identified directly in metazoan calcium carbonate mineralized structures or known to have direct key-functions in calcification processes. Functional annotation of the protein datasets using Gene Ontology reveals that functions like carbohydrate binding, structural and catalytic activities (e.g. hydrolase) are commonly represented across t…

0301 basic medicineMechanical EngineeringGenomicsComputational biologyBiologyBioinformaticsProteomicsTranscriptomeUniversal Protein Resource03 medical and health sciences030104 developmental biologyMechanics of MaterialsHydrolaseGeneral Materials ScienceUniProtGeneBiomineralizationKey Engineering Materials
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Drosophila melanogaster Models of Metal-Related Human Diseases and Metal Toxicity

2017

Iron, copper and zinc are transition metals essential for life because they are required in a multitude of biological processes. Organisms have evolved to acquire metals from nutrition and to maintain adequate levels of each metal to avoid damaging effects associated with its deficiency, excess or misplacement. Interestingly, the main components of metal homeostatic pathways are conserved, with many orthologues of the human metal-related genes having been identified and characterized in Drosophila melanogaster. Drosophila has gained appreciation as a useful model for studying human diseases, including those caused by mutations in pathways controlling cellular metal homeostasis. Flies have m…

0301 basic medicineMetal toxicityDiseaseComputational biologyReviewCatalysisInorganic Chemistrylcsh:Chemistry03 medical and health sciencesironATP7Metals HeavyMetalloproteinsmedicineAnimalsDrosophila ProteinsToxicologiaPhysical and Theoretical ChemistryMolecular BiologyGeneDrosophilalcsh:QH301-705.5SpectroscopyOrganismMetal Metabolism Inborn ErrorsMetal metabolismfrataxinbiologyEcologyOrganic ChemistryNeurodegenerationzincneurodegenerationGeneral Medicinemedicine.diseasebiology.organism_classificationdZip99CComputer Science ApplicationsDisease Models Animal030104 developmental biologyDrosophila melanogasterlcsh:Biology (General)lcsh:QD1-999coppermetal homeostasisDrosophilaDrosophila melanogasterheavy metal toxicityGenètica
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Respiratory Tularemia: Francisella Tularensis and Microarray Probe Designing

2016

Background:Francisella tularensis(F. tularensis) is the etiological microorganism for tularemia. There are different forms of tularemia such as respiratory tularemia. Respiratory tularemia is the most severe form of tularemia with a high rate of mortality; if not treated. Therefore, traditional microbiological tools and Polymerase Chain Reaction (PCR) are not useful for a rapid, reliable, accurate, sensitive and specific diagnosis. But, DNA microarray technology does. DNA microarray technology needs to appropriate microarray probe designing.Objective:The main goal of this original article was to design suitable long oligo microarray probes for detection and identification ofF. tularensis.Me…

0301 basic medicineMicroarrayBioinformaticsIn silico030106 microbiologyComputational biologyBiologyGenomeArticlelaw.inventionTularemia03 medical and health scienceslawmedicineOligo microarrayFrancisella tularensisTularemiaPolymerase chain reactionFrancisella tularensisProbe designingGeneral Immunology and MicrobiologyDNA microarraymedicine.diseasebiology.organism_classificationDry labDNA microarrayThe Open Microbiology Journal
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Experimental conditions improving in-solution target enrichment for ancient DNA.

2016

High-throughput sequencing has dramatically fostered ancient DNA research in recent years. Shotgun sequencing, however, does not necessarily appear as the best-suited approach due to the extensive contamination of samples with exogenous environmental microbial DNA. DNA capture-enrichment methods represent cost-effective alternatives that increase the sequencing focus on the endogenous fraction, whether it is from mitochondrial or nuclear genomes, or parts thereof. Here, we explored experimental parameters that could impact the efficacy of MYbaits in-solution capture assays of ~5000 nuclear loci or the whole genome. We found that varying quantities of the starting probes had only moderate ef…

0301 basic medicineMicrobial DNAComputational biologyBiologyGenome03 medical and health scienceschemistry.chemical_compoundSequencing by hybridizationGeneticsDNA AncientEcology Evolution Behavior and SystematicsGeneticsBase CompositionShotgun sequencingHigh-Throughput Nucleotide SequencingNucleic Acid HybridizationSequence Analysis DNA030104 developmental biologyAncient DNAchemistryCpG siteCpG IslandsDNA ProbesGC-contentDNABiotechnologyMolecular ecology resources
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High-throughput sequencing (HTS) for the analysis of viral populations

2020

The development of High-Throughput Sequencing (HTS) technologies is having a major impact on the genomic analysis of viral populations. Current HTS platforms can capture nucleic acid variation across millions of genes for both selected amplicons and full viral genomes. HTS has already facilitated the discovery of new viruses, hinted new taxonomic classifications and provided a deeper and broader understanding of their diversity, population and genetic structure. Hence, HTS has already replaced standard Sanger sequencing in basic and applied research fields, but the next step is its implementation as a routine technology for the analysis of viruses in clinical settings. The most likely appli…

0301 basic medicineMicrobiology (medical)030106 microbiologyPopulationGenomicsComputational biologyGenome ViralBiologyEnvironmentMicrobiologyDNA sequencingDisease OutbreaksPopulation genomicsEvolution Molecular03 medical and health sciencessymbols.namesakeGeneticsAnimalsHumanseducationMolecular BiologyEcology Evolution Behavior and SystematicsSanger sequencingeducation.field_of_studyClinical virologyOutbreaksComputational BiologyHigh-Throughput Nucleotide Sequencing030104 developmental biologyInfectious DiseasesGenetics PopulationMolecular Diagnostic TechniquesVirus DiseasesVirusessymbolsMetagenomeMolecular evolutionGene-Environment InteractionNanopore sequencingMetagenomicsTransmission clustersPopulation genomicsClinical virologyComplete genome sequencesSingle molecule real time sequencing
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Metabolic complementation in bacterial communities: Necessary conditions and optimality

2016

Bacterial communities may display metabolic complementation, in which different members of the association partially contribute to the same biosynthetic pathway. In this way, the end product of the pathway is synthesized by the community as a whole. However, the emergence and the benefits of such complementation are poorly understood. Herein, we present a simple model to analyze the metabolic interactions among bacteria, including the host in the case of endosymbiotic bacteria. The model considers two cell populations, with both cell types encoding for the same linear biosynthetic pathway. We have found that, for metabolic complementation to emerge as an optimal strategy, both product inhib…

0301 basic medicineMicrobiology (medical)Cell typeSystems biology030106 microbiologyCelllcsh:QR1-502Computational biologyBiologyMicrobiologylcsh:Microbiology03 medical and health sciencesMetabolic complementationmetabolic modelingHypothesis and TheoryBotanymedicineCinara cedricross-feedingEndosymbiotic bacteriaHost (biology)biology.organism_classificationkinetic modelingComplementation030104 developmental biologymedicine.anatomical_structureProduct inhibitionendosymbiotic bacteriaMetabolic ModellingoptimizationBacteria
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