Search results for "C2"

showing 10 items of 879 documents

PD‐1‐induced T cell exhaustion is controlled by a Drp1‐dependent mechanism

2022

Programmed cell death‐1 (PD‐1) signaling downregulates the T‐cell response, promoting an exhausted state in tumor‐infiltrating T cells, through mostly unveiled molecular mechanisms. Dynamin‐related protein‐1 (Drp1)‐dependent mitochondrial fission plays a crucial role in sustaining T‐cell motility, proliferation, survival, and glycolytic engagement. Interestingly, such processes are exactly those inhibited by PD‐1 in tumor‐infiltrating T cells. Here, we show that PD‐1pos CD8+ T cells infiltrating an MC38 (murine adenocarcinoma)‐derived murine tumor mass have a downregulated Drp1 activity and more elongated mitochondria compared with PD‐1neg counterparts. Also, PD‐1pos lymphocytic elements in…

DynaminsCancer Researchendocrine systemSettore BIO/06T cellmedicine.medical_treatmentProgrammed Cell Death 1 ReceptorDrp1CD8-Positive T-LymphocytesSettore MED/08 - Anatomia PatologicaMitochondrial Dynamicstumor‐infiltrating lymphocytesMiceImmune systemDownregulation and upregulationDrp1 mitochondria PD-1 T cell tumor-infiltrating lymphocytesPD-1GeneticsmedicineAnimalsHumansSettore MED/05 - Patologia ClinicaResearch ArticlesPI3K/AKT/mTOR pathwayRC254-282Tumor-infiltrating lymphocytesChemistryPD‐1T cellNeoplasms. Tumors. Oncology. Including cancer and carcinogensGeneral MedicineImmunotherapyCell biologymitochondriamedicine.anatomical_structureOncologytumor-infiltrating lymphocytesMolecular MedicineMitochondrial fissionCD8Research ArticleMolecular Oncology
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Versican and Tumor-Associated Macrophages Promotes Tumor Progression and Metastasis in Canine and Murine Models of Breast Carcinoma

2019

Versican and tumor-associated macrophages (TAMs) are involved in growth and metastases in several cancers. Here, we investigated the potential role of versican, a matrix proteoglycan, and its correlation with TAMs infiltrates in different stages of two different breast cancer models: spontaneous canine mammary gland carcinomas and the murine 4T1 breast cancer model. The stromal versican expression was correlated with TAMs accumulation in tumors with an advanced stage from spontaneous canine mammary carcinoma samples. Versican expression in mice, identified in late stages of tumor progression, was associated to a high number of peri-tumoral infiltrating TAMs. Indeed, TAMs were related to a p…

EXPRESSION0301 basic medicineCancer ResearchStromal cellMICROENVIRONMENTlcsh:RC254-282Metastasis03 medical and health sciencesangiogenesis0302 clinical medicineBreast cancerbreast cancerINFLAMMATIONstomatognathic systemEXTRACELLULAR-MATRIXmedicineTGF-BETA-1skin and connective tissue diseasesOriginal ResearchversicanCanine Mammary CarcinomaScience & Technologybiologybusiness.industrytumor-associated macrophageslung metastasisTGF-BETAmedicine.diseaselcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensCANCERPrimary tumorcarbohydrates (lipids)030104 developmental biologyOncologyTumor progression030220 oncology & carcinogenesisCELLSbiology.proteinCancer researchGROWTHVersicanBreast carcinomabusinessLife Sciences & BiomedicineCCL2hormones hormone substitutes and hormone antagonistsFrontiers in Oncology
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Unbundling technology adoption and tfp at the firm level. Do intangibles matter?

2012

We use a panel of European firms to investigate the relationship between intangible assets and productivity. We distinguish between total factor productivity (tfp) and technology adoption, whereas standard estimations consider only a notion of productivity that conflates the two effects. Although we are unable to address simultaneity, we allow for the existence of multiple technologies within sectors through a mixture model approach. We find that intangible assets have nonnegligible effects that both push firms toward better technologies (technology adoption effects) and allow for more efficient exploitation of a given technology (tfp effects).

Economics and Econometricintangible assetsSimultaneityfirm selectionTFP Intangible Assets Heterogeneity Firm Selection Technology Adoption Mixture Modelstechnology adoptionjel:D24jel:F12Strategy and Management1409 Tourism Leisure and Hospitality ManagementTFPjel:C29TFP intangible assets firm heterogeneity firm selection technology adoption mixture modelsfirm heterogeneityManagement of Technology and Innovationmixture models;tfp;intangible assets;firm heterogeneity;firm selection;technology adoptionEconomicsjel:O32Business Management and Accounting (all)Unbundlingmixture modelsSettore SECS-P/01 - Economia PoliticaProductivityTotal factor productivityIndustrial organization
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Is full banking integration desirable?

2020

The aim of this paper is to analyze the links between banking integration and economic development for a sample of OECD countries. We measure banking integration considering state-of-the-art indicators that measure not only how open a banking system is but also its degree of connectedness with other banking systems. In a second stage, we plug these indicators in a model of economic growth, also controlling for other relevant variables considered by the economic growth literature. In contrast to previous initiatives, this second stage explicitly takes into account the differing levels of economic development of the countries in our sample, since the benefits of enhanced banking inte- gration…

Economics and Econometrics050208 financeActuarial sciencequantile regressionSocial connectednessgrowth05 social sciencesbankingintegrationOecd countriesjel:C21jel:F36Quantile regressionjel:F150502 economics and businessEconomicsOpenness to experienceEconometrics050207 economicsbanking growth integration quantile regressionMerge (version control)Finance
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Sovereign Credit Ratings and Financial Markets Linkages: Application to European Data

2012

We use EU sovereign bond yield and CDS spreads daily data to carry out an event study analysis on the reaction of government yield spreads before and after announcements from rating agencies (Standard & Poor’s, Moody’s, Fitch). Our results show significant responses of government bond yield spreads to changes in rating notations and outlook, particularly in the case of negative announcements. Announcements are not anticipated at 1–2 months horizon but there is bi-directional causality between ratings and spreads within 1–2 weeks; spillover effects especially among EMU countries and from lower rated countries to higher rated countries; and persistence effects for recently downgraded countrie…

Economics and EconometricsCredit rating spreadsYield (finance)Financial marketEvent studyemsSettore SECS-P/02 Politica EconomicaMonetary economicscredit ratings; sovereign yields; rating agencies. Classification-C23; E44; G15.Credit ratingSpillover effectSovereign YieldsCarry (investment)credit ratings rating agencies sovereign yieldsEconomicsGovernment bondSovereign creditCredit Ratingsrating sovereing spreadsRating AgenciesFinanceSSRN Electronic Journal
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Nonlinear economic growth: Some theory and cross-country evidence

2007

Abstract This paper aims to test the existence of different growth regimes, that is of different relationships between growth rate and income level. We propose a simple nonlinear growth model and test its empirical implications by estimating Markov transition matrices and stochastic kernels. We show that growth is indeed nonlinear: a first phase of slow or zero growth is followed by a take-off and, finally, by a phase of deceleration. We discuss the relevance of these results with respect to the issue of convergence and reversibility of development, in the light of models of structural change and technological diffusion.

Economics and EconometricsCross countryDistribution dynamiconlinear growth distribution dynamics convergence structural change technological diffusionPhase (waves)jel:C21DevelopmentNonlinear growthjel:C14Technological diffusionNonlinear systemjel:O40Structural changeSimple (abstract algebra)Convergence (routing)Structural changeEconomicsEconometricsGrowth rateDiffusion (business)ConvergenceJournal of Development Economics
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Urban segregation and unemployment: A case study of the urban area of Marseille – Aix-en-Provence (France)

2018

International audience; In this paper, we study the effects of the spatial organization of the urban area of Marseille – Aix-en-Provence on unemployment there. More specifically, differences in the characteristics of the residential population induce urban stratification with the result that urban structure may affect the probability of employment. In order to evaluate the effects of spatial structure on unemployment, we implement a spatial probit model to reveal the employment probabilities of young adults still living with their parents. Our results support the hypothesis that living in or near a deprived neighborhood decreases the probability of employment.

Economics and EconometricsEconomic growthmedia_common.quotation_subjectPopulation0211 other engineering and technologies02 engineering and technologyJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsUrban areaJEL: P - Economic Systems/P.P2 - Socialist Systems and Transitional Economies/P.P2.P25 - Urban Rural and Regional EconomicsSpatial probit modelProbit model0502 economics and business050207 economicseducationSpatial econometricsSpatial organizationmedia_commoneducation.field_of_studyUrban segregationgeography.geographical_feature_categorySpatial structure05 social sciences021107 urban & regional planning[SHS.ECO]Humanities and Social Sciences/Economics and FinanceUrban structureUrban StudiesGeographyUnemploymentUnemploymentJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R23 - Regional Migration • Regional Labor Markets • Population • Neighborhood CharacteristicsDemographic economicsSpatial econometrics
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Leading indicator properties of US high-yield credit spreads.

2010

Abstract In this paper we examine the out-of-sample forecast performance of high-yield credit spreads for real-time and revised data regarding employment and industrial production in the US. We evaluate models using both a point forecast and a probability forecast exercise. Our main findings suggest that the best results come from using only a few factors obtained by pooling information from a number of sector-specific high-yield credit spreads. In particular, for employment and at short-run horizons, there is a gain from using a principal components model fitted to high-yield credit spreads compared to the prediction produced by benchmarks. Moreover, forecast results based on revised data …

Economics and EconometricsFinancial economicsjel:C53Industrial productionYield (finance)Real-time dataCredit spreads principal components forecastingPoolingjel:E32jel:C22Economic indicatorPrincipal component analysisEconomicsPrincipal componentReal-time dataPoint forecastCredit spreadCredit spreads Principal components Forecasting Real-time dataForecasting
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RENT CREATION AND RENT SHARING: NEW MEASURES AND IMPACTS ON TOTAL FACTOR PRODUCTIVITY

2019

International audience; This analysis proposes new measures of rent creation and rent sharing and assesses their impact on productivity on cross-country-industry panel data. We find first that: (1) anticompetitive product market regulations positively affect rent creation and (2) employment protection legislation boosts hourly wages, particularly for low-skill workers. However, we find no significant impact of this employment legislation on rent sharing, as the hourly wage increases are offset by a negative impact on hours worked. Second, using regulation indicators as instruments, we find that rent creation and rent sharing both have a substantial negative impact on total factor productivi…

Economics and EconometricsLabour economicsProduct marketEmployment protection legislationMARKET REGULATIONSINNOVATIONmedia_common.quotation_subjectJEL: E - Macroeconomics and Monetary Economics/E.E2 - Consumption Saving Production Investment Labor Markets and Informal Economy/E.E2.E22 - Investment • Capital • Intangible Capital • Capacityo47 - "Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence"COMPETITIONo25 - Industrial Policylabor market regulationsPANELCompetition (economics)TFPMeasurement of Economic Growth; Aggregate Productivity; Cross-Country Output ConvergenceCapital; Investment; Capacitye24 - "Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital"0502 economics and businessEconomicso30 - "Technological Change; Research and Development; Intellectual Property Rights: General"JEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity/O.O4.O47 - Empirical Studies of Economic Growth • Aggregate Productivity • Cross-Country Output Convergence050207 economicsProductivityTotal factor productivityTechnological Change; Research and Development; Intellectual Property Rights: GeneralJEL: E - Macroeconomics and Monetary Economics/E.E2 - Consumption Saving Production Investment Labor Markets and Informal Economy/E.E2.E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity050205 econometrics media_commonJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C23 - Panel Data Models • Spatio-temporal Modelsmark-up05 social sciencesIndustrial Policy[SHS.ECO]Humanities and Social Sciences/Economics and FinanceInvestment (macroeconomics)General Business Management and Accountingrent-sharingJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity/O.O4.O43 - Institutions and Growth8. Economic growthUnemploymento43 - Institutions and GrowthEmployment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capitale22 - "Capital; Investment; Capacity"JEL: L - Industrial Organization/L.L5 - Regulation and Industrial Policy/L.L5.L50 - GeneralJEL: O - Economic Development Innovation Technological Change and Growth/O.O3 - Innovation • Research and Development • Technological Change • Intellectual Property Rights/O.O3.O30 - GeneralInstitutions and Growthproduct market regulationsPanel dataEconomic Inquiry
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Geographical distribution of crime in Italian provinces: a spatial econometric analysis

2009

For a long time social sciences scholars from different fields have devoted their attention to identifying the causes leading to commit criminal offences and recently lots of studies have included the analysis of spatial effects. Respect to the Italian crime phenomenon some stylized facts exist: high spatial and time variability and presence of “organised crime” (e.g. Mafia and Camorra) deep-seated in some local territorial areas. Using explanatory spatial data analysis, the paper firstly explores the spatial structure and distribution of four different typologies of crimes (murders, thefts, frauds, and squeezes) in Italian provinces in two years, 1999 and 2003. ESDA allows us to detect som…

Economics and EconometricsStylized factbusiness.industryGeography Planning and DevelopmentDistribution (economics)jel:C21Commitjel:K42GeographyOrder (exchange)Settore SECS-S/03 - Statistica EconomicaCrime Spatial EconometricsDeterrence (legal)Spatial econometricsOrganised crimeEconomic geographybusinessSpatial analysisSocial Sciences (miscellaneous)Jahrbuch für Regionalwissenschaft
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