Search results for "MESH: Monocytes"

showing 4 items of 4 documents

Impaired Kupffer Cell Self-Renewal Alters the Liver Response to Lipid Overload during Non-alcoholic Steatohepatitis

2020

International audience; Kupffer cells (KCs) are liver-resident macrophages that self-renew by proliferation in the adult independently from monocytes. However, how they are maintained during non-alcoholic steatohepatitis (NASH) remains ill defined. We found that a fraction of KCs derived from Ly-6C+ monocytes during NASH, underlying impaired KC self-renewal. Monocyte-derived KCs (MoKCs) gradually seeded the KC pool as disease progressed in a response to embryo-derived KC (EmKC) death. Those MoKCs were partly immature and exhibited a pro-inflammatory status compared to EmKCs. Yet, they engrafted the KC pool for the long term as they remained following disease regression while acquiring matur…

0301 basic medicine[SDV]Life Sciences [q-bio]OntogenyMESH: Cell Self RenewalSelf renewalMESH: MonocytesMESH: Mice KnockoutMice0302 clinical medicineNon-alcoholic Fatty Liver DiseaseImmunology and AllergyKupffer cellsMESH: AnimalsCell Self RenewalMESH: Lipid MetabolismMice KnockoutKupffer cellLipidsResearch Highlightmacrophages[SDV] Life Sciences [q-bio]Infectious Diseasesmedicine.anatomical_structureLiver030220 oncology & carcinogenesismonocytesmedicine.medical_specialtynon-alcoholic steatohepatitis (NASH)ImmunologyBiology03 medical and health sciencesMESH: Mice Inbred C57BLMESH: Cell ProliferationInternal medicinemedicineAnimalsLiver damageMESH: MiceCell ProliferationMESH: Non-alcoholic Fatty Liver DiseaseTriglyceride storageNon alcoholicLipid Metabolismmedicine.diseaseMESH: Lipidseye diseasesMice Inbred C57BLMESH: Kupffer Cells030104 developmental biologyEndocrinologySteatohepatitisHomeostasisMESH: LiverImmunity
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Flow cytometry and spectral imaging multiphoton microscopy analysis of CD36 expression with quantum dots 605 of untreated and 7-ketocholesterol-treat…

2006

To evaluate CD36 expression with quantum dots 605 (QDs 605) on untreated and 7-ketocholesterol (7KC)-treated monocytic U937 cells by flow cytometry (FCM) and confocal and multiphoton laser scanning microscopy (CLSM).Cells were analyzed by CLSM, following flow cytometric quantification of CD36 expression and 7KC uptake. Image sequences were obtained by spectral analysis in monophoton and multiphoton CLSM and analyzed by the factor analysis of medical image sequences (FAMIS) algorithm to differentiate emission spectra. In CLSM analysis, cell deposits were screened in ultraviolet excitation modes to optimize the possibilities of QDs 605 and have the benefit of nuclei counterstaining by DAPI.FC…

CD36 AntigensMESH: PhotonsMESH : Flow CytometryMESH: AlgorithmsMESH: Flow CytometryMESH: U937 CellsMESH : Quantum DotsMESH: MonocytesMonocytesMESH : Microscopy Fluorescence MultiphotonMESH : PhotonsQuantum DotsMESH : Cells Cultured[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyHumans[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyKetocholesterols[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyCells CulturedMESH : AlgorithmsMESH : KetocholesterolsPhotonsMESH: HumansMESH: Antigens CD36MESH : HumansMESH: KetocholesterolsU937 CellsMESH: Quantum DotsFlow CytometryMESH : Antigens CD36Microscopy Fluorescence MultiphotonMESH : MonocytesMESH : U937 CellsMESH: Microscopy Fluorescence MultiphotonAlgorithmsMESH: Cells Cultured
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FRET multiphoton spectral imaging microscopy of 7-ketocholesterol and Nile Red in U937 monocytic cells loaded with 7-ketocholesterol.

2004

To show the effect of 7-ketocholesterol (7KC) on cellular lipid content by means of flow cytometry and the interaction of 7KC with Nile Red (NR) via ultraviolet fluorescence resonance energy transfer (FRET) excitation of NR on U937 monocytic cells by means of 2-photon excitation confocal laser scanning microscopy (CLSM).Untreated and 7KC-treated U937 cells were stained with NR and analyzed by flow cytometry and CLSM. 3D sequences of images were obtained by spectral analysis in a 2-photon excitation CLSM and analyzed by the factor analysis of medical image sequences (FAMIS) algorithm, which provides factor curves and images. Factor images are the result of the FAMIS image processing method, …

MESH: Cell DeathMESH: Fluorescence Resonance Energy TransferMESH: Mitochondria[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingMESH : Flow CytometryMESH: Flow CytometryMESH: U937 CellsMESH: MonocytesMonocytesMembrane PotentialsMESH : Staining and LabelingMESH : Microscopy Fluorescence MultiphotonOxazinesFluorescence Resonance Energy TransferImage Processing Computer-AssistedHumansMESH: Membrane PotentialsMESH: Microscopy ConfocalMESH : Membrane PotentialsMESH : Fluorescent DyesMESH : Microscopy ConfocalKetocholesterols[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/ImagingFluorescent DyesMESH : KetocholesterolsMicroscopy ConfocalMESH: HumansMESH : OxazinesCell DeathStaining and LabelingMESH : HumansMESH: KetocholesterolsU937 CellsFlow CytometryMESH: Fluorescent DyesMESH: Image Processing Computer-AssistedMitochondriaMESH: Staining and Labeling[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/ImagingMicroscopy Fluorescence MultiphotonMESH : MonocytesMESH : Fluorescence Resonance Energy TransferMESH : Cell DeathMESH : U937 CellsMESH: Microscopy Fluorescence MultiphotonMESH : MitochondriaMESH: OxazinesMESH : Image Processing Computer-Assisted
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Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans.

2011

One major expectation from the transcriptome in humans is to characterize the biological basis of associations identified by genome-wide association studies. So far, few cis expression quantitative trait loci (eQTLs) have been reliably related to disease susceptibility. Trans-regulating mechanisms may play a more prominent role in disease susceptibility. We analyzed 12,808 genes detected in at least 5% of circulating monocyte samples from a population-based sample of 1,490 European unrelated subjects. We applied a method of extraction of expression patterns—independent component analysis—to identify sets of co-regulated genes. These patterns were then related to 675,350 SNPs to identify maj…

MaleCancer ResearchGene ExpressionGenome-wide association studyGenetic NetworksCoronary Artery Disease[SDV.GEN] Life Sciences [q-bio]/GeneticsCardiovascularMESH: MonocytesMonocytesMESH: HypertensionTranscriptomes0302 clinical medicineMESH: ProteinsMESH: Genetic VariationGenetics (clinical)GeneticsMESH: Aged0303 health scienceseducation.field_of_studyMESH: Middle AgedMESH: Polymorphism Single NucleotideIntracellular Signaling Peptides and ProteinsMESH: Genetic Predisposition to DiseaseGenomicsMESH: Transcription FactorsMiddle AgedMESH: Ribosomal ProteinsMESH: Gene Expression Regulation3. Good healthHypertensionMedicineFemaleMESH: Diabetes Mellitus Type 1Research ArticleAdultRibosomal Proteinslcsh:QH426-470PopulationQuantitative Trait LociLocus (genetics)Single-nucleotide polymorphismBiologyQuantitative trait locusPolymorphism Single Nucleotide03 medical and health sciencesMESH: Gene Expression ProfilingGenome Analysis ToolsGeneticsGenome-Wide Association StudiesHumansGenetic Predisposition to DiseaseGene NetworkseducationMolecular BiologyBiologyEcology Evolution Behavior and SystematicsMESH: Genome Human030304 developmental biologyGenetic associationAdaptor Proteins Signal TransducingAged[SDV.GEN]Life Sciences [q-bio]/GeneticsMESH: HumansGenome HumanGene Expression ProfilingGenetic VariationProteinsHuman GeneticsMESH: AdultAtherosclerosisMESH: MaleMESH: Quantitative Trait LociGene expression profilingCeliac Diseaselcsh:GeneticsDiabetes Mellitus Type 1Gene Expression RegulationExpression quantitative trait lociGenetics of DiseaseMESH: Genome-Wide Association StudyMESH: MuramidaseMuramidaseGenome Expression AnalysisMESH: Female030217 neurology & neurosurgeryMESH: Celiac DiseaseGenome-Wide Association StudyTranscription Factors
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