Search results for "76"

showing 10 items of 2584 documents

Analysis of the immune microenvironment in resected non-small cell lung cancer: the prognostic value of different T lymphocyte markers

2016

[EN] The prognosis of non-small cell lung cancer (NSCLC) remains poor and heterogeneous and new biomarkers are needed. As the immune system plays a pivotal role in cancer, the study of immune-related markers may provide valuable prognostic information of NSCLC. In 122 formalin-fixed, paraffin-embedded tumor tissue samples from early-stage NSCLC, tumor and tumor-near stromal areas were microdissected and gene expression levels of conventional and regulatory T cell markers were assessed by quantitative polymerase chain reaction. Also, the presence of infiltrating CD4+, CD8+, and FOXP3+ cells in tumor samples was assessed by immunohistochemistry. The relative proportion of conventional and reg…

0301 basic medicineMalePathologyLung NeoplasmsT-LymphocytesBIOLOGIA CELULARKaplan-Meier EstimateNSCLC0302 clinical medicineT-Lymphocyte SubsetsCarcinoma Non-Small-Cell LungTumor MicroenvironmentCytotoxic T cellAged 80 and overFOXP3Forkhead Transcription FactorsMiddle AgedPrognosismedicine.anatomical_structureOncology030220 oncology & carcinogenesisCD4 AntigensFemaleAdultmedicine.medical_specialtyStromal cellRegulatory T cellCD8 Antigensimmune-biomarkerPrognostic03 medical and health sciencesImmune systemmedicineBiomarkers TumorResearch Paper: Autophagy and Cell DeathHumansImmune biomarkerTumor stromaTumor compartmentAgedTumor microenvironmentbusiness.industryVDP::Medical disciplines: 700::Clinical medical disciplines: 750::Oncology: 762tumor stromaCancermedicine.disease030104 developmental biologyImmune-biomarkerCancer researchimmunebusinessprognosticCD8
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A Dirichlet Autoregressive Model for the Analysis of Microbiota Time-Series Data

2021

Growing interest in understanding microbiota dynamics has motivated the development of different strategies to model microbiota time series data. However, all of them must tackle the fact that the available data are high-dimensional, posing strong statistical and computational challenges. In order to address this challenge, we propose a Dirichlet autoregressive model with time-varying parameters, which can be directly adapted to explain the effect of groups of taxa, thus reducing the number of parameters estimated by maximum likelihood. A strategy has been implemented which speeds up this estimation. The usefulness of the proposed model is illustrated by application to a case study.

0301 basic medicineMathematical optimizationMultidisciplinaryArticle SubjectGeneral Computer ScienceComputer scienceMaximum likelihoodQA75.5-76.9501 natural sciencesDirichlet distribution010104 statistics & probability03 medical and health sciencessymbols.namesake030104 developmental biologyAutoregressive modelElectronic computers. Computer sciencesymbols0101 mathematicsTime seriesComplexity
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Comprehensive evaluation of coding region point mutations in microsatellite-unstable colorectal cancer

2018

Microsatellite instability (MSI) leads to accumulation of an excessive number of mutations in the genome, mostly small insertions and deletions. MSI colorectal cancers (CRCs), however, also contain more point mutations than microsatellite-stable (MSS) tumors, yet they have not been as comprehensively studied. To identify candidate driver genes affected by point mutations in MSI CRC, we ranked genes based on mutation significance while correcting for replication timing and gene expression utilizing an algorithm, MutSigCV. Somatic point mutation data from the exome kit-targeted area from 24 exome-sequenced sporadic MSI CRCs and respective normals, and 12 whole-genome-sequenced sporadic MSI CR…

0301 basic medicineMedicine (General)Candidate geneclinical evaluationgenetic identificationgenetic analysisQH426-470medicine.disease_causeChromatin Epigenetics Genomics & Functional Genomicswhole exome sequencingddc:590mutator genesingle nucleotide polymorphismddc:576.5Gene Regulatory NetworksExomeExome sequencingCancercancer cellGeneticsMutation1184 Genetics developmental biology physiology3. Good healthgenetic codesyöpägeenitpriority journalMolecular Medicinewild typepoint mutationSystems MedicineColorectal Neoplasmscongenital hereditary and neonatal diseases and abnormalitiesddc:025.063/5703122 Cancerscancer geneticsSingle-nucleotide polymorphismcolorectal cancerBiologygene frequencyta3111mikrosatelliititcolony formationR105W geneArticle03 medical and health sciencesR5-920Gene interactionReportGeneticsmedicineHumanscontrolled studyhumanneoplasmspaksusuolisyöpäPoint mutationgene interactionhuman celltumor-related geneMicrosatellite instabilityMolecular Sequence AnnotationSequence Analysis DNAmedicine.diseaseta3122digestive system diseaseshuman tissueSTK38L gene030104 developmental biologyvalidation processgene expressionSMARCB1 genemicrosatellite instability3111 Biomedicinegene replicationReports
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A Peptidoglycan-Remodeling Enzyme Is Critical for Bacteroid Differentiation in Bradyrhizobium spp. During Legume Symbiosis.

2016

International audience; In response to the presence of compatible rhizobium bacteria, legumes form symbiotic organs called nodules on their roots. These nodules house nitrogen-fixing bacteroids that are a differentiated form of the rhizobium bacteria. In some legumes, the bacteroid differentiation comprises a dramatic cell enlargement, polyploidization, and other morphological changes. Here, we demonstrate that a peptidoglycan-modifying enzyme in Bradyrhizobium strains, a DD-carboxypeptidase that contains a peptidoglycan-binding SPOR domain, is essential for normal bacteroid differentiation in Aeschynomene species. The corresponding mutants formed bacteroids that are malformed and hypertrop…

0301 basic medicinePhysiology[SDV]Life Sciences [q-bio]Mutantnodosité racinairechemistry.chemical_compoundBacteroidesBradyrhizobiumPhotosynthesisPhotosynthèseDifférenciation cellulaire2. Zero hungerhttp://aims.fao.org/aos/agrovoc/c_2603http://aims.fao.org/aos/agrovoc/c_6094food and beveragesFabaceaeGeneral MedicinePolyploïdieCode génétiqueRhizobiumhttp://aims.fao.org/aos/agrovoc/c_3215Symbiosihttp://aims.fao.org/aos/agrovoc/c_27138F60 - Physiologie et biochimie végétaleSymbioseBacterial Proteinhttp://aims.fao.org/aos/agrovoc/c_772PeptidoglycanBiologyBradyrhizobiumMicrobiology03 medical and health sciencesPhotosynthesiBacterial ProteinsSymbiosisPeptidaseSymbiosishttp://aims.fao.org/aos/agrovoc/c_7563Binding Sites[ SDV ] Life Sciences [q-bio]Binding SiteP34 - Biologie du solAeschynomeneGene Expression Regulation Bacterialbiology.organism_classificationhttp://aims.fao.org/aos/agrovoc/c_27601http://aims.fao.org/aos/agrovoc/c_5014030104 developmental biologychemistryEnzymeMutationhttp://aims.fao.org/aos/agrovoc/c_5812http://aims.fao.org/aos/agrovoc/c_5690PeptidoglycanBacteroidesAgronomy and Crop ScienceBacteriahttp://aims.fao.org/aos/agrovoc/c_2265
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Centrifugal projections to the main olfactory bulb revealed by trans‐synaptic retrograde tracing in mice

2020

A wide range of evidence indicates that olfactory perception is strongly involved in food intake. However, the polysynaptic circuitry linking the brain areas involved in feeding behavior to the olfactory regions is not well known. The aim of this article was to examine such circuits. Thus, we described, using hodological tools such as transsynaptic viruses (PRV152) transported in a retrograde manner, the long-distance indirect projections (two to three synapses) onto the main olfactory bulb (MOB). The ß-subunit of the cholera toxin which is a monosynaptic retrograde tracer was used as a control to be able to differentiate between direct and indirect projections. Our tracing experiments show…

0301 basic medicineRRID:AB_142754RRID:AB_141521Lateral hypothalamus[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/NeurobiologyRRID:AB_956454feeding behaviorNucleus accumbensBiologyRRID:AB_2534069choleratoxin b subunitMice03 medical and health sciences0302 clinical medicineRRID:AB_2650474RRID:AB_2636803Arcuate nucleusRRID:AB_2534091Animals[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]ComputingMilieux_MISCELLANEOUSrewardFluorescent DyesRRID:AB_297689General NeuroscienceSolitary nucleusOlfactory Pathwayspseudorabies virusOlfactory BulbRetrograde tracingOlfactory bulbOrexinMice Inbred C57BLodor processing[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition030104 developmental biologyMicroscopy FluorescenceHypothalamusRRID:AB_300798[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]RRID:AB_2302603RRID:AB_2269954RRID:AB_726859Neuroscience[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition030217 neurology & neurosurgery
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Wharton’s Jelly Mesenchymal Stromal Cells from Human Umbilical Cord: a Close-up on Immunomodulatory Molecules Featured In Situ and In Vitro

2019

Therapeutic options for end-stage organ failure are often limited to whole organ transplantation. The tolerance or rejection of the transplanted organ is driven by both early non-specific innate and specific adaptive responses. The use of mesenchymal stromal cells (MSCs) is considered a promising tool in regenerative medicine. Human umbilical cord (HUC) is an easily available source of MSCs, without relevant ethical issues. Moreover, Wharton's jelly-derived MSCs (WJ-MSCs), showed consistent immunomodulatory features that may be useful to promote immune tolerance in the host after transplantation. Few data are available on the phenotype of WJ-MSCs in situ. We investigated the expression of i…

0301 basic medicineSettore BIO/17 - IstologiaB7 AntigensT cellIn Vitro TechniquesBiologyLymphocyte ActivationRegenerative medicineCell therapyUmbilical CordImmune toleranceImmunomodulation03 medical and health sciences0302 clinical medicineWharton's jellymedicineHumansWharton JellyCD276Cells CulturedCell ProliferationStem cellMesenchymal stem cellCell DifferentiationMesenchymal Stem CellsHuman umbilical cordCell biologyTransplantationTolerance induction030104 developmental biologymedicine.anatomical_structureB7-H3030220 oncology & carcinogenesisLymphocyte inhibitionRegenerative medicineCytokinesWharton’s jelly mesenchymal stromal cellsStem cell
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Transcriptome analysis revealed that a quorum sensing system regulates the transfer of the pAt megaplasmid in Agrobacterium tumefaciens.

2016

Background Agrobacterium tumefaciens strain P4 is atypical, as the strain is not pathogenic and produces a for this species unusual quorum sensing signal, identified as N-(3-hydroxy-octanoyl)-homoserine lactone (3OH,C8-HSL). Results By sequence analysis and cloning, a functional luxI-like gene, named cinI, has been identified on the At plasmid of A. tumefaciens strain P4. Insertion mutagenesis in the cinI gene and transcriptome analyses permitted the identification of 32 cinI-regulated genes in this strain, most of them encoding proteins responsible for the conjugative transfer of pAtP4. Among these genes were the avhB genes that encode a type 4 secretion system (T4SS) involved in the forma…

0301 basic medicineacylhomoserime lactoneIdentification[SDV]Life Sciences [q-bio]AgrobacteriumPlasmidePlant Rootsfluids and secretionsPlasmidSolanum lycopersicumhttp://aims.fao.org/aos/agrovoc/c_16014Expression des gènesDynamique des populationsCloning MolecularPhylogenyGeneticsbiology000 - Autres thèmeshttp://aims.fao.org/aos/agrovoc/c_27583food and beveragesAgrobacterium tumefaciensLactonehttp://aims.fao.org/aos/agrovoc/c_768[SDV] Life Sciences [q-bio]Quorum sensingT4SSConjugation GeneticPropriété biologiquehttp://aims.fao.org/aos/agrovoc/c_35128PlasmidsResearch Articlehttp://aims.fao.org/aos/agrovoc/c_4145BiotechnologyDtr systemSéquence nucléotidiqueAgrobacteriumSequence analysisMutagenesis (molecular biology technique)At plasmid03 medical and health scienceshttp://aims.fao.org/aos/agrovoc/c_4891Bacterial Proteinsstomatognathic systemhttp://aims.fao.org/aos/agrovoc/c_3081Geneticshttp://aims.fao.org/aos/agrovoc/c_1501Acylhomoserine lactoneTranscriptomicsGenehttp://aims.fao.org/aos/agrovoc/c_6111H20 - Maladies des plantesCloning[ SDV ] Life Sciences [q-bio]Bactériologiehttp://aims.fao.org/aos/agrovoc/c_27444Sequence Analysis RNATranscription géniqueConjugationGene Expression ProfilingBiologie moléculaireGene Expression Regulation Bacterialbiochemical phenomena metabolism and nutritionQuorum sensing;Agrobacterïum;At plasmid;transcriptomics;conjugation;T4SS;Dtr system;Acylhomoserine lactonebiology.organism_classificationhttp://aims.fao.org/aos/agrovoc/c_27527Quorum sensinghttp://aims.fao.org/aos/agrovoc/c_3791030104 developmental biologyAgrobacterium tumefaciensbacteriaGenetic Fitness
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A Basic Architecture of an Autonomous Adaptive System With Conscious-Like Function for a Humanoid Robot.

2018

In developing a humanoid robot, there are two major objectives. One is developing a physical robot having body, hands, and feet resembling those of human beings and being able to similarly control them. The other is to develop a control system that works similarly to our brain, to feel, think, act, and learn like ours. In this article, an architecture of a control system with a brain-oriented logical structure for the second objective is proposed. The proposed system autonomously adapts to the environment and implements a clearly defined “consciousness” function, through which both habitual behavior and goal-directed behavior are realized. Consciousness is regarded as a function for effecti…

0301 basic medicinebrain-oriented systemComputer sciencelcsh:Mechanical engineering and machinerymedia_common.quotation_subjectlcsh:QA75.5-76.9503 medical and health sciences0302 clinical medicineArtificial IntelligenceAdaptive systemHypothesis and Theorylcsh:TJ1-1570Binding problemAdaptation (computer science)Function (engineering)goal-directed behaviorLibet’s experimentmedia_commonRobotics and AIautonomous adaptationhabitual behaviorArtificial neural networkbusiness.industryComputer Science Applicationsimage processing030104 developmental biologybinding problemRobotlcsh:Electronic computers. Computer scienceArtificial intelligencemodel of consciousnessConsciousnessbusiness030217 neurology & neurosurgeryHumanoid robotFrontiers in robotics and AI
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How to deal with Haplotype data: An Extension to the Conceptual Schema of the Human Genome

2016

[EN] The goal of this work is to describe the advantages of the application of Conceptual Modeling (CM) in complex domains, such as genomics. Nowadays, the study and comprehension of the human genome is a major challenge due to its high level of complexity. The constant evolution in the genomic domain contributes to the generation of ever larger amounts of new data, which means that if we do not manage it correctly data quality could be compromised (i.e., problems related with heterogeneity and inconsistent data). In this paper, we propose the use of a Conceptual Schema of the Human Genome (CSHG), designed to understand and improve our ontological commitment to the domain and also extend (e…

0301 basic medicinehaplotypesGeISHigher education0206 medical engineeringconceptual modelingLibrary science02 engineering and technologystatistical modelscomputer.software_genreGenomelcsh:QA75.5-76.95Conceptual schema03 medical and health sciencesExtension (metaphysics)Sociologybusiness.industryHaplotypeGeneral MedicineConceptual modelingStatistical models030104 developmental biologyHaplotypesGenetic diagnosisChristian ministryHuman genomelcsh:Electronic computers. Computer scienceData miningbusinessGenetic diagnosiscomputer020602 bioinformaticsgenetic diagnosis.
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Machine learning–XGBoost analysis of language networks to classify patients with epilepsy

2017

Our goal was to apply a statistical approach to allow the identification of atypical language patterns and to differentiate patients with epilepsy from healthy subjects, based on their cerebral activity, as assessed by functional MRI (fMRI). Patients with focal epilepsy show reorganization or plasticity of brain networks involved in cognitive functions, inducing ‘atypical’ (compared to ‘typical’ in healthy people) brain profiles. Moreover, some of these patients suffer from drug-resistant epilepsy, and they undergo surgery to stop seizures. The neurosurgeon should only remove the zone generating seizures and must preserve cognitive functions to avoid deficits. To preserve functions, one sho…

0301 basic medicinemedicine.medical_specialtyCognitive Neuroscience[SCCO.COMP]Cognitive science/Computer scienceAudiologyExtreme Gradient Boostinglcsh:Computer applications to medicine. Medical informaticsArticle03 medical and health sciencesEpilepsy0302 clinical medicineText miningMachine learningmedicineLanguagelcsh:Computer softwareEpilepsyCognitive mapReceiver operating characteristicbusiness.industryCognitionNeurophysiologymedicine.diseaseMLComputer Science ApplicationsStatistical classificationlcsh:QA76.75-76.765030104 developmental biologyNeurologyBinary classification[ SCCO.COMP ] Cognitive science/Computer sciencelcsh:R858-859.7Artificial intelligencePsychologybusiness030217 neurology & neurosurgeryAtypicalXGBoost
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