Search results for "Linea"

showing 10 items of 7724 documents

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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Monitoring campaign over an edible dormouse population (Glis glis; rodentia: Gliridae) in Sicily: First report of mesocestodiasis

2021

Simple Summary In Nebrodi Park (Sicily, Italy), live many wild mammal species that move closer to human beings every day. The edible dormouse (Glis glis), in 2017 and 2018, was responsible for nut crop damage in the area. For this reason, a sanitary monitoring campaign involving 30 dormice was carried out by collecting rectal and conjunctival swabs and fur and nest content, which were then processed for laboratory examinations. A large presence of fleas belonging to Monopsyllus sciurorum was found. Necropsy of a dead dormouse revealed an infection of Mesocestoides lineatus, whose cysts were found in the abdomen cavity and on the liver; this is the first report of this in this species. Furth…

0301 basic medicineMesocestoides lineatus030231 tropical medicinePopulationSettore BIO/05 - ZoologiaZoologyCrop (anatomy)ArticleMesocestoides lineatus03 medical and health sciences0302 clinical medicineNestbiology.animallcsh:Zoologylcsh:QL1-991DormouseeducationEdible dormouseeducation.field_of_studyDormicelcsh:Veterinary medicineGeneral Veterinarybiology<i>Glis glis<i>biology.organism_classification<i>Monopsyllus sciorum<i>030104 developmental biologylcsh:SF600-1100Monopsyllus sciorumAnimal Science and Zoology<i>Mesocestoides lineatus<i></i></i></i></i></i></i>Glis glis
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Towards development of a statistical framework to evaluate myotonic dystrophy type 1 mRNA biomarkers in the context of a clinical trial

2020

AbstractMyotonic dystrophy type 1 (DM1) is a rare genetic disorder, characterised by muscular dystrophy, myotonia, and other symptoms. DM1 is caused by the expansion of a CTG repeat in the 3’-untranslated region of DMPK. Longer CTG expansions are associated with greater symptom severity and earlier age at onset. The primary mechanism of pathogenesis is thought to be mediated by a gain of function of the CUG-containing RNA, that leads to trans-dysregulation of RNA metabolism of many other genes. Specifically, the alternative splicing (AS) and alternative polyadenylation (APA) of many genes is known to be disrupted. In the context of clinical trials of emerging DM1 treatments, it is important…

0301 basic medicineMicroarrayPhysiologyMicroarraysBioinformaticsBiochemistryMachine Learning0302 clinical medicineMathematical and Statistical TechniquesMedicine and Health SciencesMyotonic DystrophyMuscular dystrophyOligonucleotide Array Sequence AnalysisClinical Trials as TopicMultidisciplinaryMusclesQStatisticsRGenetic disorderMuscle AnalysisBody FluidsNucleic acidsBloodBioassays and Physiological AnalysisTreatment OutcomeGenetic DiseasesPhysical SciencesMedicineRegression AnalysisAnatomyDatabases Nucleic AcidResearch Articlemusculoskeletal diseasesGenetic Markerscongenital hereditary and neonatal diseases and abnormalitiesScienceContext (language use)Linear Regression AnalysisBiostatisticsResearch and Analysis MethodsPolyadenylationMyotonic dystrophyMyotonin-Protein Kinase03 medical and health sciencesmedicineGeneticsHumansRNA MessengerStatistical MethodsLeast-Squares AnalysisGeneClinical GeneticsModels Geneticbusiness.industryAlternative splicingBiology and Life Sciencesmedicine.diseaseMyotoniaAlternative Splicing030104 developmental biologyRNA processingRNAGene expressionbusinessTrinucleotide repeat expansionTrinucleotide Repeat Expansion030217 neurology & neurosurgeryBiomarkersMathematicsForecastingPLoS ONE
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One year into the pandemic: Short-term evolution of SARS-CoV-2 and emergence of new lineages.

2021

The COVID-19 pandemic was officially declared on March 11th, 2020. Since the very beginning, the spread of the virus has been tracked nearly in real-time by worldwide genome sequencing efforts. As of March 2021, more than 830,000 SARS-CoV-2 genomes have been uploaded in GISAID and this wealth of data allowed researchers to study the evolution of SARS-CoV-2 during this first pandemic year. In parallel, nomenclatures systems, often with poor consistency among each other, have been developed to designate emerging viral lineages. Despite general fears that the virus might mutate to become more virulent or transmissible, SARS-CoV-2 genetic diversity has remained relatively low during the first ~…

0301 basic medicineMicrobiology (medical)COVID-19 VaccinesSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)030106 microbiologyReviewBiologyMicrobiologyGenomeVirusDNA sequencing03 medical and health sciencesVACCINESGenetic variationPandemicGeneticsHumansLineagesMolecular BiologyEcology Evolution Behavior and SystematicsTransmission (medicine)SARS-CoV-2VaccinationVariantsGenetic VariationCOVID-19Biological EvolutionVaccination030104 developmental biologyInfectious DiseasesEvolutionary biologyDiagnostic tests
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A New Phylogenetic Framework for the Animal-adaptedMycobacterium tuberculosisComplex

2018

Tuberculosis (TB) affects humans and other animals and is caused by bacteria from the Mycobacterium tuberculosis complex (MTBC). Previous studies have shown that there are at least nine members of the MTBC infecting animals other than humans; these have also been referred to as ecotypes. However, the ecology and the evolution of these animal-adapted MTBC ecotypes are poorly understood. Here we screened 12,886 publicly available MTBC genomes and newly sequenced 17 animal-adapted MTBC strains, gathering a total of 529 genomes of animal-adapted MTBC strains. Phylogenomic and comparative analyses confirm that the animal-adapted MTBC members are paraphyletic with some members more closely relate…

0301 basic medicineMicrobiology (medical)Host–pathogen interactionsLineage (evolution)Populationlcsh:QR1-502specificityhost rangeHost tropismMicrobiologyGenetic diversitylcsh:Microbiology03 medical and health sciencesPhylogenomicseducationClade030304 developmental biologyWhole-genome sequencing0303 health scienceseducation.field_of_studybiologyPhylogenetic tree030306 microbiologygenetic diversitybiology.organism_classification3. Good health030104 developmental biologyhost–pathogen interactions; specificity; host range; genetic diversity; whole-genome sequencingMycobacterium tuberculosis complexwhole-genome sequencingEvolutionary biologyHost rangeSpecificityMycobacterium africanumhost–pathogen interactions
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2016

AbstractThe different factors involved in the growth process of complex networks imprint valuable information in their observable topologies. How to exploit this information to accurately predict structural network changes is the subject of active research. A recent model of network growth sustains that the emergence of properties common to most complex systems is the result of certain trade-offs between node birth-time and similarity. This model has a geometric interpretation in hyperbolic space, where distances between nodes abstract this optimisation process. Current methods for network hyperbolic embedding search for node coordinates that maximise the likelihood that the network was pro…

0301 basic medicineMultidisciplinaryGeometric analysisComputer sciencebusiness.industryHyperbolic spaceNode (networking)Complex systemNonlinear dimensionality reductionComplex networkTopologyMachine learningcomputer.software_genreNetwork topology01 natural sciences03 medical and health sciences030104 developmental biology0103 physical sciencesEmbeddingArtificial intelligence010306 general physicsbusinesscomputerScientific Reports
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2020

Background Small sample sizes combined with multiple correlated endpoints pose a major challenge in the statistical analysis of preclinical neurotrauma studies. The standard approach of applying univariate tests on individual response variables has the advantage of simplicity of interpretation, but it fails to account for the covariance/correlation in the data. In contrast, multivariate statistical techniques might more adequately capture the multi-dimensional pathophysiological pattern of neurotrauma and therefore provide increased sensitivity to detect treatment effects. Results We systematically evaluated the performance of univariate ANOVA, Welch’s ANOVA and linear mixed effects models …

0301 basic medicineMultivariate statisticsMultidisciplinaryUnivariateContrast (statistics)Linear discriminant analysis03 medical and health sciences030104 developmental biology0302 clinical medicineMultivariate analysis of variancePrincipal component analysisPartial least squares regressionStatisticsAnalysis of variance030217 neurology & neurosurgeryMathematicsPLOS ONE
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Local adaptation in populations of Mycobacterium tuberculosis endemic to the Indian Ocean Rim

2021

24 páginas, 3 figuras, 1 tabla. The sequence data generated by this study has been deposited on SRA (https://www.ncbi.nlm.nih.gov/sra) under the accession number PRJNA670836. Extended data is available here: https://github.com/fmenardo/MTBC_L1_L3. DOI: https://doi.org/10.5281/zenodo.4609804 (Menardo, 2021).

0301 basic medicineMycobacterium tuberculosis / patogenicidadeTuberculosisGenotypevirusesLineage (evolution)030106 microbiologyLocus (genetics)adaptationBiologyGenomeGeneral Biochemistry Genetics and Molecular BiologyMycobacterium tuberculosis03 medical and health sciencesAdapta??oGenoma BacterianomedicineHumansOceano ?ndico / epidemiologiaGeneral Pharmacology Toxicology and PharmaceuticsAdaptationIndian OceanLocal adaptationGenetic diversityGeneral Immunology and Microbiologyvirus diseasesTuberculose / patologiaGeneral MedicineArticlesMycobacterium tuberculosisbiochemical phenomena metabolism and nutritionbiology.organism_classificationmedicine.diseasedigestive system diseases3. Good health030104 developmental biologyMycobacterium tuberculosis complexEvolutionary biologycoevolutionLinhagemCoevolutionResearch ArticleF1000Research
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Myeloid leukemia with transdifferentiation plasticity developing from T-cell progenitors

2016

Unfavorable patient survival coincides with lineage plasticity observed in human acute leukemias. These cases are assumed to arise from hematopoietic stem cells, which have stable multipotent differentiation potential. However, here we report that plasticity in leukemia can result from instable lineage identity states inherited from differentiating progenitor cells. Using mice with enhanced c-Myc expression, we show, at the single-cell level, that T-lymphoid progenitors retain broad malignant lineage potential with a high capacity to differentiate into myeloid leukemia. These T-cell-derived myeloid blasts retain expression of a defined set of T-cell transcription factors, creating a lymphoi…

0301 basic medicineMyeloidBone Marrow CellsBiologyGeneral Biochemistry Genetics and Molecular Biology03 medical and health scienceshemic and lymphatic diseasesmedicineCell LineageProgenitor cellMolecular BiologyGeneral Immunology and MicrobiologyGeneral NeuroscienceTransdifferentiationMyeloid leukemiaCell DifferentiationArticlesmedicine.diseaseHematopoietic Stem CellsHaematopoiesisLeukemia030104 developmental biologymedicine.anatomical_structureImmunologyCancer researchLymphoid Progenitor CellsStem cell
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A Systematic Nomenclature for the Drosophila Ventral Nerve Cord.

2020

Drosophila melanogaster is an established model for neuroscience research with relevance in biology and medicine. Until recently, research on the Drosophila brain was hindered by the lack of a complete and uniform nomenclature. Recognizing this, Ito et al. (2014) produced an authoritative nomenclature for the adult insect brain, using Drosophila as the reference. Here, we extend this nomenclature to the adult thoracic and abdominal neuromeres, the ventral nerve cord (VNC), to provide an anatomical description of this major component of the Drosophila nervous system. The VNC is the locus for the reception and integration of sensory information and involved in generating most of the locomotor…

0301 basic medicineNervous systemanatomytectulumanimal structures1.1 Normal biological development and functioningneuropilSensory systemhemilineageArticle03 medical and health sciences0302 clinical medicineTerminology as TopicmedicineNeuropilPsychologyAnimalsCell LineageInvertebrateontologyNomenclatureNeuronsNeurology & NeurosurgerybiologyGeneral NeurosciencefungiNeurosciencesCommissuremotorneuronbiology.organism_classificationNeuromeretractGanglia Invertebrate030104 developmental biologymedicine.anatomical_structureDrosophila melanogasterVentral nerve cordNeurologicalGangliacommissureinsectCognitive SciencesDrosophila melanogasterNerve NetNeuroscience030217 neurology & neurosurgeryneuromereNeuron
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