PSMA-Specific CAR-Engineered T Cells Eradicate Disseminated Prostate Cancer in Preclinical Models.

Immunology-based interventions have been proposed as a promising curative chance to effectively attack postoperative minimal residual disease and distant metastatic localizations of prostate tumors. We developed a chimeric antigen receptor (CAR) construct targeting the human prostate-specific membrane antigen (hPSMA), based on a novel and high affinity specific mAb. As a transfer method, we employed last-generation lentiviral vectors (LV) carrying a synthetic bidirectional promoter capable of robust and coordinated expression of the CAR molecule, and a bioluminescent reporter gene to allow the tracking of transgenic T cells after in vivo adoptive transfer. Overall, we demonstrated that CAR-expressing LV efficiently transduced short-term activated PBMC, which in turn were readily stimulated to produce cytokines and to exert a relevant cytotoxic activity by engagement with PSMA+ prostate tumor cells. Upon in vivo transfer in tumor-bearing mice, CAR-transduced T cells were capable to completely eradicate a disseminated neoplasia in the majority of treated animals, thus supporting the translation of such approach in the clinical setting.

Protective role of peroxisome proliferator-activated receptor-β/δ in septic shock.

Rationale: Peroxisome proliferator activated receptor (PPAR)-beta/delta is a transcription factor that belongs to the PPAR nuclear hormone receptor family, but the role of PPAR-beta/delta in sepsis is unknown. Objectives: We investigated the role of PPAR-beta/delta in murine models of LPS-induced organ injury and dysfunction and cecal ligation and puncture (CLP)-induced polymicrobial sepsis. Methods: Wild-type (WT) and PPAR-beta/delta knockout (1(0) mice and C57BL/6 mice were subjected to LPS for 16 hours. C57BL/6 mice received the PPAR-beta/delta agonist GW0742 (0.03 mg/kg intravenously, 1 h after LPS) or GW0742 plus the PPAR-beta/delta antagonist GSK0660 (0.1 mg/kg intravenously, 30 min before LPS). CD-1 mice subjected to CLP received GW0742 or GW0742 plus GSK0660. Measurements and Main Results: In PPAR-beta/delta KO mice, endotoxemia exacerbated organ injury and dysfunction (cardiac, renal, and hepatic) and inflammation (lung) compared with WT mice. In C57BL/6 mice subjected to endotoxemia, GW0742 significantly (1) attenuated organ (cardiac and renal) dysfunction and inflammation (lung); (2) increased the phosphorylation of Akt and glycogen synthase kinase (GSK)-3 beta; (3) attenuated the increase in extracellular signal-regulated kinase (ERK)1/2 and signal transducer and activator of transcription (STAT)-3 phosphorylation; and (4) attenuated the activation of nuclear factor (NF)-kappa B and the expression of inducible nitric oxide synthase (iNOS). In CD-1 mice subjected to CLP, GW0742 improved 10-day survival. All the observed beneficial effects of GW0742 were attenuated by the PPAR-beta/delta antagonist GSK0660. Conclusions: PPAR-beta/delta protects against multiple organ injury and dysfunction, and inflammation caused by endotoxic shock and improves survival in polymicrobial sepsis by a mechanism that may involve activation of Akt and inhibition of GSK-3 beta and NF-kappa B.

The role of fixed delays in neuronal rate models

Fixed delays in neuronal interactions arise through synaptic and dendritic processing. Previous work has shown that such delays, which play an important role in shaping the dynamics of networks of large numbers of spiking neurons with continuous synaptic kinetics, can be taken into account with a rate model through the addition of an explicit, fixed delay. Here we extend this work to account for arbitrary symmetric patterns of synaptic connectivity and generic nonlinear transfer functions. Specifically, we conduct a weakly nonlinear analysis of the dynamical states arising via primary instabilities of the stationary uniform state. In this way we determine analytically how the nature and stability of these states depend on the choice of transfer function and connectivity. While this dependence is, in general, nontrivial, we make use of the smallness of the ratio in the delay in neuronal interactions to the effective time constant of integration to arrive at two general observations of physiological relevance. These are: 1 - fast oscillations are always supercritical for realistic transfer functions. 2 - Traveling waves are preferred over standing waves given plausible patterns of local connectivity.

Design and analysis of ChIP-Seq experiments for nuclear factor I DNA-binding proteins

SUMMARY : Eukaryotic DNA interacts with the nuclear proteins using non-covalent ionic interactions. Proteins can recognize specific nucleotide sequences based on the sterical interactions with the DNA and these specific protein-DNA interactions are the basis for many nuclear processes, e.g. gene transcription, chromosomal replication, and recombination. New technology termed ChIP-Seq has been recently developed for the analysis of protein-DNA interactions on a whole genome scale and it is based on immunoprecipitation of chromatin and high-throughput DNA sequencing procedure. ChIP-Seq is a novel technique with a great potential to replace older techniques for mapping of protein-DNA interactions. In this thesis, we bring some new insights into the ChIP-Seq data analysis. First, we point out to some common and so far unknown artifacts of the method. Sequence tag distribution in the genome does not follow uniform distribution and we have found extreme hot-spots of tag accumulation over specific loci in the human and mouse genomes. These artifactual sequence tags accumulations will create false peaks in every ChIP-Seq dataset and we propose different filtering methods to reduce the number of false positives. Next, we propose random sampling as a powerful analytical tool in the ChIP-Seq data analysis that could be used to infer biological knowledge from the massive ChIP-Seq datasets. We created unbiased random sampling algorithm and we used this methodology to reveal some of the important biological properties of Nuclear Factor I DNA binding proteins. Finally, by analyzing the ChIP-Seq data in detail, we revealed that Nuclear Factor I transcription factors mainly act as activators of transcription, and that they are associated with specific chromatin modifications that are markers of open chromatin. We speculate that NFI factors only interact with the DNA wrapped around the nucleosome. We also found multiple loci that indicate possible chromatin barrier activity of NFI proteins, which could suggest the use of NFI binding sequences as chromatin insulators in biotechnology applications. RESUME : L'ADN des eucaryotes interagit avec les protéines nucléaires par des interactions noncovalentes ioniques. Les protéines peuvent reconnaître les séquences nucléotidiques spécifiques basées sur l'interaction stérique avec l'ADN, et des interactions spécifiques contrôlent de nombreux processus nucléaire, p.ex. transcription du gène, la réplication chromosomique, et la recombinaison. Une nouvelle technologie appelée ChIP-Seq a été récemment développée pour l'analyse des interactions protéine-ADN à l'échelle du génome entier et cette approche est basée sur l'immuno-précipitation de la chromatine et sur la procédure de séquençage de l'ADN à haut débit. La nouvelle approche ChIP-Seq a donc un fort potentiel pour remplacer les anciennes techniques de cartographie des interactions protéine-ADN. Dans cette thèse, nous apportons de nouvelles perspectives dans l'analyse des données ChIP-Seq. Tout d'abord, nous avons identifié des artefacts très communs associés à cette méthode qui étaient jusqu'à présent insoupçonnés. La distribution des séquences dans le génome ne suit pas une distribution uniforme et nous avons constaté des positions extrêmes d'accumulation de séquence à des régions spécifiques, des génomes humains et de la souris. Ces accumulations des séquences artéfactuelles créera de faux pics dans toutes les données ChIP-Seq, et nous proposons différentes méthodes de filtrage pour réduire le nombre de faux positifs. Ensuite, nous proposons un nouvel échantillonnage aléatoire comme un outil puissant d'analyse des données ChIP-Seq, ce qui pourraient augmenter l'acquisition de connaissances biologiques à partir des données ChIP-Seq. Nous avons créé un algorithme d'échantillonnage aléatoire et nous avons utilisé cette méthode pour révéler certaines des propriétés biologiques importantes de protéines liant à l'ADN nommés Facteur Nucléaire I (NFI). Enfin, en analysant en détail les données de ChIP-Seq pour la famille de facteurs de transcription nommés Facteur Nucléaire I, nous avons révélé que ces protéines agissent principalement comme des activateurs de transcription, et qu'elles sont associées à des modifications de la chromatine spécifiques qui sont des marqueurs de la chromatine ouverte. Nous pensons que lés facteurs NFI interagir uniquement avec l'ADN enroulé autour du nucléosome. Nous avons également constaté plusieurs régions génomiques qui indiquent une éventuelle activité de barrière chromatinienne des protéines NFI, ce qui pourrait suggérer l'utilisation de séquences de liaison NFI comme séquences isolatrices dans des applications de la biotechnologie.

Combining food web and species distribution models for improved community projections

The ability to model biodiversity patterns is of prime importance in this era of severe environmental crisis. Species assemblage along environmental gradient is subject to the interplay of biotic interactions in complement to abiotic environmental filtering. Accounting for complex biotic interactions for a wide array of species remains so far challenging. Here, we propose to use food web models that can infer the potential interaction links between species as a constraint in species distribution models. Using a plant-herbivore (butterfly) interaction dataset, we demonstrate that this combined approach is able to improve both species distribution and community forecasts. Most importantly, this combined approach is very useful in rendering models of more generalist species that have multiple potential interaction links, where gap in the literature may be recurrent. Our combined approach points a promising direction forward to model the spatial variation of entire species interaction networks. Our work has implications for studies of range shifting species and invasive species biology where it may be unknown how a given biota might interact with a potential invader or in future climate.

An Introduction to parametric and non-parametric models for bivariate positive insurance claim severity distributions

We present a real data set of claims amounts where costs related to damage are recorded separately from those related to medical expenses. Only claims with positive costs are considered here. Two approaches to density estimation are presented: a classical parametric and a semi-parametric method, based on transformation kernel density estimation. We explore the data set with standard univariate methods. We also propose ways to select the bandwidth and transformation parameters in the univariate case based on Bayesian methods. We indicate how to compare the results of alternative methods both looking at the shape of the overall density domain and exploring the density estimates in the right tail.

A well-posedness theory in measures for some kinetic models of collective motion

We present existence, uniqueness and continuous dependence results for some kinetic equations motivated by models for the collective behavior of large groups of individuals. Models of this kind have been recently proposed to study the behavior of large groups of animals, such as flocks of birds, swarms, or schools of fish. Our aim is to give a well-posedness theory for general models which possibly include a variety of effects: an interaction through a potential, such as a short-range repulsion and long-range attraction; a velocity-averaging effect where individuals try to adapt their own velocity to that of other individuals in their surroundings; and self-propulsion effects, which take into account effects on one individual that are independent of the others. We develop our theory in a space of measures, using mass transportation distances. As consequences of our theory we show also the convergence of particle systems to their corresponding kinetic equations, and the local-in-time convergence to the hydrodynamic limit for one of the models.

Modelling dependence in a ratemaking procedure with multivariate Poisson regression models

When actuaries face with the problem of pricing an insurance contract that contains different types of coverage, such as a motor insurance or homeowner's insurance policy, they usually assume that types of claim are independent. However, this assumption may not be realistic: several studies have shown that there is a positive correlation between types of claim. Here we introduce different regression models in order to relax the independence assumption, including zero-inflated models to account for excess of zeros and overdispersion. These models have been largely ignored to multivariate Poisson date, mainly because of their computational di±culties. Bayesian inference based on MCMC helps to solve this problem (and also lets us derive, for several quantities of interest, posterior summaries to account for uncertainty). Finally, these models are applied to an automobile insurance claims database with three different types of claims. We analyse the consequences for pure and loaded premiums when the independence assumption is relaxed by using different multivariate Poisson regression models and their zero-inflated versions.

Estimation of dynamic latent variable models using simulated nonparametric moments

Abstract. Given a model that can be simulated, conditional moments at a trial parameter value can be calculated with high accuracy by applying kernel smoothing methods to a long simulation. With such conditional moments in hand, standard method of moments techniques can be used to estimate the parameter. Because conditional moments are calculated using kernel smoothing rather than simple averaging, it is not necessary that the model be simulable subject to the conditioning information that is used to define the moment conditions. For this reason, the proposed estimator is applicable to general dynamic latent variable models. It is shown that as the number of simulations diverges, the estimator is consistent and a higher-order expansion reveals the stochastic difference between the infeasible GMM estimator based on the same moment conditions and the simulated version. In particular, we show how to adjust standard errors to account for the simulations. Monte Carlo results show how the estimator may be applied to a range of dynamic latent variable (DLV) models, and that it performs well in comparison to several other estimators that have been proposed for DLV models.

Regulation of the akt signalling in human skeletal muscle atrophy

Abstract : The term "muscle disuse" is often used to refer collectively to reductions in neuromuscular activity as observed with sedentary lifestyles, reduced weight bearing, cancer, chronic obstructive pulmonary disease, chronic heart failure, spinal cord injury, sarcopenia or exposure to microgravity (spaceflight). Muscle disuse atrophy, caused by accelerated proteolysis, is predominantly due to the activation of the ATP-dependent ubiquitin (Ub) proteasome pathway. The current advances in understanding the molecular factors contributing to the Ub-dependent proteolysis process have been made mostly in rodent models of human disease and denervation with few investigations performed directly in humans. Recently, in mice, the genes Atrogin-1 and MuRF1 have been designated as primary candidates in the control of muscle atrophy. Additionally, the decreased activity of the Akt/GSK-3ß and Akt/mTOR pathways has been associated with a reduction in protein synthesis and contributing to skeletal muscle atrophy. Therefore, it is now commonly accepted that skeletal muscle atrophy is the result of a decreased protein synthesis concomitant with an increase in protein degradation (Glass 2003). Atrogin-1 and MuRF1 are genes expressed exclusively in muscle. In mice, their expression has been shown to be directly correlated with the severity of atrophy. KO-mice experiments showed a major protection against atrophy when either of these genes were deleted. Skeletal muscle hypertrophy is an important function in normal postnatal development and in the adaptive response to exercise. It has been shown, in vitro, that the activation of phosphatidylinositol 3-kinase (PI-3K), by insulin growth factor 1 (IGF-1), stimulates myotubes hypertrophy by activating the downstream pathways, Akt/GSK-3ß and Akt/mTOR. It has also been demonstrated in mice, in vivo, that activation of these signalling pathways causes muscle hypertrophy. Moreover, the latter were recently proposed to also reduce muscle atrophy by inhibiting the FKHR mediated transcription of several muscle atrophy genes; Atrogin-1 and MuRF1. Therefore, these targets present new avenues for developing further the understanding of the molecular mechanisms involved in both skeletal muscle atrophy and hypertrophy. The present study proposed to investigate the regulation of the Akt/GSK-3ß and Akt/mTOR signalling pathways, as well as the expression levels of the "atrogenes", Atrogin-1 and MuRF1, in four human models of skeletal muscle atrophy. In the first study, we measured the regulation of the Akt signalling pathway after 8 weeks of both hypertrophy stimulating resistance training and atrophy stimulation de-training. As expected following resistance training, muscle hypertrophy and an increase in the phosphorylation status of the different members of the Akt pathway was observed. This was paralleled by a concomitant decrease in FOXO1 nuclear protein content. Surprisingly, exercise training also induced an increase in the, expression of the atrophy genes and proteins involved in the ATP-dependant ubiquitin-proteasome system. On the opposite, following the de-training period a muscle atrophy, relative to the post-training muscle size, was measured. At the same time, the phosphorylation levels of Akt and GSK-3ß were reduced while the amount of FOXO1 in the nucleus increased. After the atrophy phase, there was also a reduction in Atrogin-1 and MuRF1 contents. In this study, we demonstrate for the first time in healthy human skeletal muscle, that the regulation of Akt and its downstream targets GSK-3ß, mTOR and FOXO1 are associated with both thé skeletal muscle hypertrophy and atrophy processes. Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease characterized by the loss of both upper and lower motor neurons, which leads to severe muscle weakness and atrophy. All measurements were performed in biopsies from 22 ALS patients and 16 healthy controls. ALS patients displayed an increase in Atrogin-1 mRNA and protein content which was associated with a decrease in Akt activity. However there was no difference in the mRNA and phospho-protein content of FOXO1, FOXO3a, p70S6K and GSK-3ß. The transcriptional regulation of human Atrogin-1 may be controlled by an Akt-mediated transcription factor other than FKHR or via an other signalling pathway. Chronic complete spinal cord injury (SCI) is associated with severe muscle atrophy which is linked to co-morbidity factors such as diabetes, obesity, lipid disorders and cardiovascular diseases. Molecular mechanisms associated with chronic complete SCI-related muscle atrophy are not well understood. The aim of the present study was to determine if there was an increase in catabolic signalling targets such as Atrogin-1, MuRF1, FOXO and myostatin, and decreases in anabolic signalling targets such as IGF, Akt, GSK-3ß, mTOR, 4E-BP1 and p-70S6K in chronic complete SCI patients. All measurements were performed in biopsies taken from 8 complete chronic SCI patients and 7 age matched healthy controls. In SCI patients when compared with controls, there was a significant reduction in mRNA levels of Atrogin1, MuRF1 and Myostatin. Protein levels for Atrogin-1, FOX01 and FOX03a were also reduced. IGF-1 and both phosphorylated GSK-3ß and 4E-BP1 were decreased; the latter two in an Akt and mTOR independent manner, respectively. Reductions in Atrogin-1, MuRF1, FOXO and myostatin suggest the existence of an internal mechanism aimed at reducing further loss of muscle proteins during chronic SCI. The downregulation of signalling proteins regulating anabolism such as IGF, GSK3ß and 4E-BP1 would reduce the ability to increase protein synthesis rates in this chronic state of muscle wasting. The molecular mechanisms controlling age-related skeletal muscle loss in humans are poorly understood. The present study aimed to investigate the regulation of several genes and proteins involved in the activation of key signalling pathways promoting muscle hypertrophy such as GH/STAT5/IGF, IGF/Akt/GSK-3ß/4E-BP1 and muscle atrophy such as TNFα/SOCS3 and Akt/FOXO/Atrogin-1 or MuRF1 in muscle biopsies from 13 young and 16 elderly men. In the older, as compared with the young subjects, TNFα and SOCS-3 were increased while growth hormone receptor protein (GHR) and IGF-1 mRNA were both decreased. Akt protein levels were increased however no change in phosphorylated Akt content was observed. GSK-3ß phosphorylation levels were increased while 4E-BP1 was not changed. Nuclear FKHR and FKHRL1 protein levels were decreased, with no changes in their atrophy target genes, Atrogin-1 and MuRF1. Myostatin mRNA and protein levels were significantly elevated. Human sarcopenia may be linked to a reduction in the activity or sensitivity of anabolic signalling proteins such as GHR, IGF and Akt. TNFα, SOCS-3 and myostatin are potential candidates influencing this anabolic perturbation. In conclusion our results support those obtained in rodent or ín vitro models, and demonstrate Akt plays a pivotal role in the control of muscle mass in humans. However, the Akt phosphorylation status was dependant upon the model of muscle atrophy as Akt phosphorylation was reduced in all atrophy models except for SCI. Additionally, the activity pattern of the downstream targets of Akt appears to be different upon the various human models. It seems that under particular conditions such as spinal cord injury or sarcopenia, .the regulation of GSK-3ß, 4eBP1 and p70S6K might be independent of Akt suggesting alternative signalling pathways in the control of these the anabolic response in human skeletal muscle. The regulation of Atrogin-1 and MuRF1 in some of our studies has been shown to be also independent of the well-described Akt/FOXO signalling pathway suggesting that other transcription factors may regulate human Atrogin-1 and MuRF1. These four different models of skeletal muscle atrophy and hypertrophy have brought a better understanding concerning the molecular mechanisms controlling skeletal muscle mass in humans.

Radiocarbon dating of modern groundwater: the role of the unsaturated zone

Biological and physical processes occurring in soils may lead to significant isotopic changes between the isotopic compositions of atmospheric CO2 and of soil CO2. Also, during water and gas transport from the soil surface to the water table, isotopic changes likely occur due to numerous physical processes such as gas production and diffusion, water advection, and gas-water-rock interactions. In most cases, these changes are not included in the correction models developed for groundwater dating, whereas they can significantly impact the calculation of the 14C age. We explore the role of these processes using: i) experimental data from two aquifer sites (Fontainebleau sands and Astian sands, France), ii) a distributed model to simulate the 14C activities of soil CO2, and iii) numerical simulations in order to highlight the role of the physical processes.¦The 13C content in soil CO2 showed seasonal variations and highlighted the competition between CO2 production and CO2 diffusion. Their respective contributions played a significant role in defining the isotopic composition of CO2 at the water table. On both study sites, variations of the 14C activity in soil CO2 reflect the competition between the fluxes of root derived-CO2 and organic matter derived-CO2. Since the nuclear weapon tests in the fifties and sixties, soil CO2 became significantly depleted in 14C compared to modern atmospheric CO2. Models that take into account this 14C depletion in soil CO2 for dating modern groundwater would lead to apparent younger 14C ages than models that only consider the 14C activity in atmospheric CO2. Moreover, since 2000-2005, the inverse effect is observed as soil CO2 is enriched in 14C compared to atmospheric CO2.¦Therefore, we conclude that the isotopic composition of CO2 at the water table have to be taken into account for the dating of modern groundwater. This requires a systematic sampling of soil CO2 and the measurement of its 13C and 14C contents. We used this information in a numerical simulation to calculate the evolution of isotopic composition of CO2 from the soil surface to the water table. This simulation integrated physical processes in the unsaturated zone (e.g. CO2 production and diffusion, water advection, etc.) and gas-water-rock interactions.