Search results for "STELLA"

showing 10 items of 1995 documents

Junctional adhesion molecules JAM-B and JAM-C promote autoimmune-mediated liver fibrosis in mice

2018

Fibrosis remains a serious health concern in patients with chronic liver disease. We recently reported that chemically induced chronic murine liver injury triggers increased expression of junctional adhesion molecules (JAMs) JAM-B and JAM-C by endothelial cells and de novo synthesis of JAM-C by hepatic stellate cells (HSCs). Here, we demonstrate that biopsies of patients suffering from primary biliary cholangitis (PBC), primary sclerosing cholangitis (PSC) or autoimmune hepatitis (AIH) display elevated levels of JAM-C on portal fibroblasts (PFs), HSCs, endothelial cells and cholangiocytes, whereas smooth muscle cells expressed JAM-C constitutively. Therefore, localization and function of JA…

0301 basic medicine[SDV]Life Sciences [q-bio]Cholangitis SclerosingMyocytes Smooth MuscleeducationImmunologyImmunoglobulinsAutoimmune hepatitisVascular RemodelingChronic liver diseaseMural cellPrimary sclerosing cholangitisFatty Acids MonounsaturatedMice03 medical and health sciencesFibrosisCell AdhesionmedicineAnimalsHumansImmunology and AllergyMyofibroblastsCells CulturedInflammationMice KnockoutFibrous capsule of GlissonLiver Cirrhosis Biliarybusiness.industryfungiEndothelial Cellsmedicine.diseaseFibrosishumanities3. Good healthMice Inbred C57BLDisease Models AnimalHepatitis Autoimmune030104 developmental biologyLiverVasoconstrictioncardiovascular systemCancer researchHepatic stellate cellFemaleHepatic fibrosisbusinessCell Adhesion MoleculesJournal of Autoimmunity
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A method to discriminate between the Candida stellata and Saccharomyces cerevisiae in mixed fermentation on WLD and lysine agar media

2016

This paper presents a simple method to distinguish between Candida stellata and Saccharomyces cerevisiae yeasts during microbiological analyses. The method is based on differential yeast growth on a medium containing cycloheximide and a medium containing lysine as only nitrogen source (lysine agar). The cycloheximide resistance of 45 yeast strains belonging to Candida stellata, Hanseniaspora uvarum, Hanseniaspora guilliermondii, Metschnikowia pulcherrima, Torulaspora delbrueckii, Zygosaccharomyces bailii, Kluyveromyces thermotolerans and Zygoascus hellenicus, and 14 strains of Saccharomyces cerevisiae and Saccharomyces bayanus on WL nutrient agar, was assayed. Cycloheximide resistance is ch…

0301 basic medicinebiologyZygosaccharomyces bailii030106 microbiologySaccharomyces bayanusSettore AGR/15 - Scienze E Tecnologie Alimentaribiology.organism_classificationCycloheximide Candida stellata Saccharomyces cerevisiae mixed fermentationSaccharomycesYeast[Candida] stellata03 medical and health scienceschemistry.chemical_compoundTorulaspora delbrueckiiBiochemistrychemistryHanseniaspora guilliermondiiNutrient agarSettore AGR/16 - Microbiologia Agraria
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Characterization of Translationally Controlled Tumour Protein from the Sea Anemone Anemonia viridis and Transcriptome Wide Identification of Cnidaria…

2018

Gene family encoding translationally controlled tumour protein (TCTP) is defined as highly conserved among organisms; however, there is limited knowledge of non-bilateria. In this study, the first TCTP homologue from anthozoan was characterised in the Mediterranean Sea anemone, Anemonia viridis. The release of the genome sequence of Acropora digitifera, Exaiptasia pallida, Nematostella vectensis and Hydra vulgaris enabled a comprehensive study of the molecular evolution of TCTP family among cnidarians. A comparison among TCTP members from Cnidaria and Bilateria showed conserved intron exon organization, evolutionary conserved TCTP signatures and 3D protein structure. The pattern of mRNA exp…

0301 basic medicinefood.ingredientlcsh:QH426-470Settore BIO/11 - Biologia MolecolareNematostellacomparative genomicsCnidarianSea anemonetranscriptome wide analysisTCTPArticleAnemoniacnidarianstranslationally controlled tumour proteinTranscriptome03 medical and health sciencesTCTPsfoodGeneticComparative genomicGeneticsGene familyhomology modellingGenetics (clinical)Comparative genomicsbiologyAnemonebiology.organism_classificationCell biologycnidarians; transcriptome wide analysis; translationally controlled tumour protein; TCTPs; comparative genomics; homology modelling; gene expressionTranscriptome wide analysilcsh:Genetics030104 developmental biologygene expressionbiology.proteinTranslationally controlled tumour proteinCnidarians; Comparative genomics; Gene expression; Homology modelling; TCTPs; Transcriptome wide analysis; Translationally controlled tumour protein; Genetics; Genetics (clinical)Genes
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The Unfolded Protein Response Plays a Predominant Homeostatic Role in Response to Mitochondrial Stress in Pancreatic Stellate Cells.

2016

Activated pancreatic stellate cells (PaSC) are key participants in the stroma of pancreatic cancer, secreting extracellular matrix proteins and inflammatory mediators. Tumors are poorly vascularized, creating metabolic stress conditions in cancer and stromal cells that necessitate adaptive homeostatic cellular programs. Activation of autophagy and the endoplasmic reticulum unfolded protein response (UPR) have been described in hepatic stellate cells, but the role of these processes in PaSC responses to metabolic stress is unknown. We reported that the PI3K/mTOR pathway, which AMPK can regulate through multiple inputs, modulates PaSC activation and fibrogenic potential. Here, using primary a…

0301 basic medicinelcsh:MedicineApoptosisMitochondrionAMP-Activated Protein KinasesEndoplasmic ReticulumBiochemistrychemistry.chemical_compoundMiceeIF-2 KinasePhosphatidylinositol 3-Kinases0302 clinical medicineFluorescence MicroscopyCell SignalingTumor Microenvironment2.1 Biological and endogenous factorsSmall interfering RNAsAetiologylcsh:ScienceEnergy-Producing OrganellesCancerMice KnockoutMicroscopyMultidisciplinarySecretory PathwayCell DeathTOR Serine-Threonine KinasesLight MicroscopySignaling CascadesCell biologyMitochondriaNeoplasm ProteinsUp-RegulationNucleic acidsCell Processes030220 oncology & carcinogenesisCellular Structures and OrganellesResearch ArticleSignal TransductionProgrammed cell deathCell PhysiologyGeneral Science & TechnologyAutophagic Cell DeathKnockoutBiologyBioenergeticsResearch and Analysis MethodsStress Signaling Cascade03 medical and health sciencesGeneticsAutophagyAnimalsNon-coding RNAPancreasPI3K/AKT/mTOR pathwaylcsh:RAutophagyAMPKBiology and Life SciencesCell BiologyCell MetabolismGene regulationPancreatic NeoplasmsEnzyme Activation030104 developmental biologychemistryHepatic stellate cellUnfolded protein responseUnfolded Protein ResponseRNAlcsh:QGene expressionInterleukin-4Digestive DiseasesRottlerinTranscription Factor CHOP
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Centrosome amplification mediates small extracellular vesicles secretion via lysosome disruption

2020

SummaryBidirectional communication between cells and their surrounding environment is critical in both normal and pathological settings. Extracellular vesicles (EVs), which facilitate the horizontal transfer of molecules between cells, are recognized as an important constituent of cell-cell communication. In cancer, alterations in EV secretion contribute to the growth and metastasis of tumor cells. However, the mechanisms underlying these changes remain largely unknown. Here, we show that centrosome amplification is associated with and sufficient to promote small extracellular vesicle (SEV) secretion in pancreatic cancer cells. This is a direct result due of lysosomal dysfunction, caused by…

0303 health sciencesChemistry[SDV]Life Sciences [q-bio]Extracellular vesicle[SDV.BC]Life Sciences [q-bio]/Cellular Biologymedicine.diseaseMetastasisCell biology03 medical and health sciences0302 clinical medicinemedicine.anatomical_structureCentrosome030220 oncology & carcinogenesisPancreatic cancerLysosomeCancer cellmedicineHepatic stellate cellSecretion030304 developmental biology
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Compensation of Oxygen Transmittance Effects for Proximal Sensing Retrieval of Canopy–Leaving Sun–Induced Chlorophyll Fluorescence

2018

Estimates of Sun–Induced vegetation chlorophyll Fluorescence (SIF) using remote sensing techniques are commonly determined by exploiting solar and/or telluric absorption features. When SIF is retrieved in the strong oxygen (O 2 ) absorption features, atmospheric effects must always be compensated. Whereas correction of atmospheric effects is a standard airborne or satellite data processing step, there is no consensus regarding whether it is required for SIF proximal–sensing measurements nor what is the best strategy to be followed. Thus, by using simulated data, this work provides a comprehensive analysis about how atmospheric effects impact SIF estimations on proximal sensing, regarding: (…

1171 GeosciencesFLUXspectral fitting method (SFM)AIRBORNE010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesFlux02 engineering and technologyfraunhofer line discriminator (FLD)Surface pressure01 natural sciencesO2 transmittanceAtmospheric radiative transfer codesatmospheric pressureFIELD SPECTROSCOPYTransmittanceAstrophysics::Solar and Stellar AstrophysicsSPACESpectral resolutionAbsorption (electromagnetic radiation)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingproximal sensing4112 Forestrysun-induced chlorophyll fluorescence (SIF)Atmospheric pressureSTRESS DETECTIONPHOTOSYNTHESISQAtmospheric correctionO-2 transmittanceair temperatureREFLECTANCEsun–induced chlorophyll fluorescence (SIF)Physics::Space Physicssun–induced chlorophyll fluorescence (SIF); proximal sensing; O<sub>2</sub> transmittance; fraunhofer line discriminator (FLD); spectral fitting method (SFM); air temperature; atmospheric pressureLUMINESCENCEGeneral Earth and Planetary SciencesEnvironmental scienceABSORPTION-BANDSAstrophysics::Earth and Planetary AstrophysicsVEGETATIONRemote Sensing
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"Table 1" of "Observation and measurement of forward proton scattering in association with lepton pairs produced via the photon fusion mechanism at A…

2022

The measured fiducial cross sections. The first systematic uncertainty is the combined systematic uncertainty excluding luminosity, the second is the luminosity

13000.0Astrophysics::High Energy Astrophysical PhenomenaIntegrated Cross SectionAstrophysics::Cosmology and Extragalactic AstrophysicsCross SectionSIGlepton pair productionInclusiveProton-Proton ScatteringP P --&gt; L+ L- P Xphoton-photon fusionAstrophysics::Solar and Stellar AstrophysicsHigh Energy Physics::ExperimentAstrophysics::Galaxy Astrophysics
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"Table 1" of "Search for supersymmetry in events with four or more leptons in $\sqrt{s}=13$ TeV $pp$ collisions with ATLAS"

2018

The $m_{\mathrm{eff}}$ distribution for events passing the signal region requirements except the $m_{\mathrm{eff}}$ requirement in SR0A and SR0B. Distributions for data, the estimated SM backgrounds, and an example SUSY scenario are shown. "Other" is the sum of the $tWZ$, $t\bar{t}WW$, and $t\bar{t}t\bar{t}$ backgrounds. The last bin captures the overflow events. Both the statistical and systematic uncertainties in the SM background are included in the shaded band. The red arrows indicate the $m_{\mathrm{eff}}$ selections in the signal regions.

13000.0Astrophysics::Solar and Stellar AstrophysicsSUSYSupersymmetry
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"Table 4" of "Search for supersymmetry in events with four or more leptons in $\sqrt{s}=13$ TeV $pp$ collisions with ATLAS"

2018

The $m_{\mathrm{eff}}$ distribution for events passing the signal region requirements except the $m_{\mathrm{eff}}$ requirement in SR2. Distributions for data, the estimated SM backgrounds, and an example SUSY scenario are shown. "Other" is the sum of the $tWZ$, $t\bar{t}WW$, and $t\bar{t}t\bar{t}$ backgrounds. The last bin captures the overflow events. Both the statistical and systematic uncertainties in the SM background are included in the shaded band. The red arrows indicate the $m_{\mathrm{eff}}$ selections in the signal region.

13000.0Astrophysics::Solar and Stellar AstrophysicsSUSYSupersymmetry
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"Table 3" of "Search for supersymmetry in events with four or more leptons in $\sqrt{s}=13$ TeV $pp$ collisions with ATLAS"

2018

The $m_{\mathrm{eff}}$ distribution for events passing the signal region requirements except the $m_{\mathrm{eff}}$ requirement in SR1. Distributions for data, the estimated SM backgrounds, and an example SUSY scenario are shown. "Other" is the sum of the $tWZ$, $t\bar{t}WW$, and $t\bar{t}t\bar{t}$ backgrounds. The last bin captures the overflow events. Both the statistical and systematic uncertainties in the SM background are included in the shaded band. The red arrows indicate the $m_{\mathrm{eff}}$ selections in the signal region.

13000.0Astrophysics::Solar and Stellar AstrophysicsSUSYSupersymmetry
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