Molecular and cellular analysis of genodermatoses

Summary Skin is the essential interface between our body and its environment; not only does it prevent water loss and protect us from external insults it also plays an essential role in the central nervous system acting as a major sense organ primarily for touch and pain. The main cell type present in skin, keratinocyte, undergoes a differentiation process leading to the formation of this protecting barrier. This work is intended to contribute to the understanding of how keratinocyte differentiates and skin functions. To do this, we studied two genetic skin diseases: Erythrokeratodermia variabilis and Mal de Meleda. Our approach was to examine the expression and localization of proteins implicated in these two pathologies in normal and diseased tissues and to determine the influence of mutant proteins at the molecular and cellular levels. Connexins are major components of gap junctions, channels allowing direct communication between cells. Our laboratory has identified mutations in both connexin 30.3 (Cx30.3) and 31 (Cx31) to be causally involved in erythrokeratodermia variabilis (EKV), an autosomal dominant disorder of keratinization. In the first chapter, we show a new mutation of Cx31, L209P-Cx31, in 3 EKV patients, extending the field of EKV-causing mutations although the mechanism by which connexin mutations lead to the disease is unclear. In the second chapter, we studied the effect of F137L-Cx30.3 on expression, trafficking and localization of cotransfected Cx31 and Cx30.3 in connexin-deficient HeLa cells. The F137 amino acid, highly conserved in connexin family, is oriented towards the channel pore and F137L mutation in either Cx30.3 or Cx31 lead to EKV. As two genes can lead to EKV when mutated, our hypothesis was that Cx31 and Cx30.3 might cooperate at a molecular level. We were able to demonstrate a physical interaction between Cx31 and Cx30.3. The presence of F137L-Cx30.3 disturbed the trafficking of both connexins, less connexins were integrated into gap junctions and thus, the coupling between cell was diminished. Connexins formed in the presence of F137L-Cx30.3 are degraded at their exit from the endoplasmic reticulum. In conclusion, our results indicate that the genetic heterogeneity of EKV is due to mutations in two interacting proteins. F137L-Cx30.3 has a dominant negative effect and affects Cx31, disturbing cellular communication in epidermal cells. Mal de Meleda is an autosomal recessive inflammatory and a keratotic palmoplantar skin disorder due to mutations in SLURP1 (secreted LY6/PLAUR-related protein 1). SLURP1 belongs to the LY6/PLAUR family of proteins and has the particularity of being secreted instead of being GPI-anchored. The high degree of structural similarity between SLURP1 and the three fingers motif of snake neurotoxins and LYNX 1-C suggests that this protein could interact with the neuronal acetylcholine receptors. In the third chapter, we show that SLURP1 potentiates responses of the a7 nicotinic acetylcholine receptor (nAchR) to acetylcholine. These results identify SLURP1 as a secreted epidermal neuromodulator that is likely to be essential for palmoplantar skin. In the fourth chapter, we show that SLURP1 is expressed in the granular layer of the epidermis but is absent from skin biopsies of Mal de Meleda patients. SLURP1 is also present in secretions such as sweat, tears or saliva. An in vitro analysis on two mutant of SLURP-I demonstrates that W15R-SLURP1 is absent in cells while G86R-SLURP1 is expressed and secreted, suggesting that SLURP1 can lead to the disease by either an absent or an abnormal protein. Finally, in the fifth chapter, we analyse the expression and biological properties of other LY6/PLAUR members, clustered around SLURP] on chromosome 8. Their GPI-anchored or secreted status were analysed in vitro. SLURP1, LYNX1-A and -B are secreted while LYPDC2 and LYNX 1-C are GPI anchored. Three of these proteins are expressed in the epidermis and in cultured keratinocytes. These results suggest that these LY6/PLAUR members may have an important role in skin homeostasis. Résumé Résumé La peau est la barrière essentielle entre notre corps et l'environnement, nous protégeant des agressions extérieures, de la déshydratation et assurant aussi un rôle dans le système nerveux central en tant qu'organe du toucher et de la douleur. Le principal type de cellules présent dans la peau est le kératinocyte qui suit un processus de différenciation aboutissant à la formation de cette barrière protectrice. Ce travail est destiné à comprendre la différenciation des kératinocytes et le fonctionnement de la peau. Pour cela, nous avons étudié deux maladies génodermatoses : l'Erthrokeratodermia Variabilis (EKV) et le Mal de Meleda. Nous avons examiné l'expression et la localisation des protéines impliquées dans ces deux pathologies dans des tissus normaux et malades puis déterminé l'influence des protéines mutantes aux niveaux moléculaires et cellulaires. Les connexines (Cx) sont les composants majeurs des jonctions communicantes, canaux permettant la communication directe entre les cellules. Notre laboratoire a identifié des mutations dans les Cx30.3 et Cx31 comme responsables de l'EKV, génodermatose de transmission autosomique dominante. Dans le ler chapitre, nous décrivons une nouvelle mutation de Cx31, L209-Cx31, et contribuons à l'établissement du catalogue des mutations de Cx31 entraînant cette maladie. Cependant, le mécanisme par lequel les mutations de Cx31 et C3x0.3 provoquent l'EKV est inconnu. Dans le 2ème chapitre, nous étudions les effets de la mutation F137L-Cx30.3 sur l'expression, le trafic et la localisation des Cx31 et Cx30.3 transfectées dans des cellules HeLa, déficientes en connexines. Comme deux gènes peuvent causer une EKV quand ils sont mutés, notre hypothèse était que Cx31 et Cx30.3 pourraient coopérer au niveau moléculaire. Nous avons montré l'existence d'une interaction physique entre ces deux connexines. La présence de la mutation F137L-Cx30.3 perturbe le trafic des deux connexines, moins de connexines sont intégrées dans les jonctions communicantes et donc le couplage entre les cellules est diminué. Les connexons formés en présence de cette mutation sont dégradés à leur sortie du réticulum endoplasmique. En conclusion, nos résultats indiquent que l'hétérogénéité génétique de EKV est due à des mutations dans deux protéines qui interagissent. F137L-Cx30.3 a un effet dominant négatif et affecte Cx31, perturbant la communication entre les cellules épidermiques. Le Mal de Meleda est une maladie récessive de la peau palmoplantaire due à des mutations dans SLURP1. SLURP1 appartient à la famille des protéines contenant un domaine LY6/PLAUR et a la particularité d'être sécrétée. La grande homologie de structure existant entre SLURP1, les neurotoxines de serpent et LYNX1-C suggère que la protéine pourrait interagir avec des récepteurs à acétylcholine (Ach). Dans le 3ème chapitre, nous montrons que SLURP1 module la réponse à l'Ach du récepteur nicotinique α7. Ces résultats identifient SLURP1 comme un neuromodulateur épidermique sécrété, probablement essentiel pour la peau palmoplantaire. Dans le 4ème chapitre, nous montrons que SLURP1 est exprimé dans la couche granuleuse de l'épiderme et qu'il est absent des biopsies des patients. SLURP1 a aussi été détecté dans des sécrétions telles que la sueur, les lamies et la salive. Une analyse in vitro de deux mutants de SLURP1 a montré que W15R-SLURP1 est absent des cellules tandis que G86R-SLURP1 est exprimé et sécrété, suggérant qu'une absence ou une anomalie de SLURP1 peuvent causer la maladie. Finalement, dans le 5ème chapitre, nous analysons l'expression et les propriétés biologiques d'autres membres de la famille LY6/PLAUR localisés autour de SLURP1 sur le chromosome 8. Leur statut de protéines sécrétées ou liées à la membrane par une ancre GPI est analysé in vitro. SLURP1, LYNXI-A et -B sont sécrétées alors que LYPDC2 et LYNX1-C sont liés à la membrane. Trois de ces protéines sont exprimées dans l'épiderme et dans des kératinocytes cultivés. Ces résultats suggèrent que la famille LY6/PLAUR pourrait avoir un rôle important dans l'homéostasie de la peau.

REMAP - A Probabilistic Survery of Iowa's Perennial Rivers and Streams, 2007

This monthly report from the Iowa Department of Transportation is about the water quality management of Iowa's rivers, streams and lakes.

ZNRD1 (zinc ribbon domain-containing 1) is a host cellular factor that influences HIV-1 replication and disease progression.

BACKGROUND: Human immunodeficiency virus (HIV) takes advantage of multiple host proteins to support its own replication. The gene ZNRD1 (zinc ribbon domain-containing 1) has been identified as encoding a potential host factor that influenced disease progression in HIV-positive individuals in a genomewide association study and also significantly affected HIV replication in a large-scale in vitro short interfering RNA (siRNA) screen. Genes and polymorphisms identified by large-scale analysis need to be followed up by means of functional assays and resequencing efforts to more precisely map causal genes. METHODS: Genotyping and ZNRD1 gene resequencing for 208 HIV-positive subjects (119 who experienced long-term nonprogression [LTNP] and 89 who experienced normal disease progression) was done by either TaqMan genotyping assays or direct sequencing. Genetic association analysis was performed with the SNPassoc package and Haploview software. siRNA and short hairpin RNA (shRNA) specifically targeting ZNRD1 were used to transiently or stably down-regulate ZNRD1 expression in both lymphoid and nonlymphoid cells. Cells were infected with X4 and R5 HIV strains, and efficiency of infection was assessed by reporter gene assay or p24 assay. RESULTS: Genetic association analysis found a strong statistically significant correlation with the LTNP phenotype (single-nucleotide polymorphism rs1048412; [Formula: see text]), independently of HLA-A10 influence. siRNA-based functional analysis showed that ZNRD1 down-regulation by siRNA or shRNA impaired HIV-1 replication at the transcription level in both lymphoid and nonlymphoid cells. CONCLUSION: Genetic association analysis unequivocally identified ZNRD1 as an independent marker of LTNP to AIDS. Moreover, in vitro experiments pointed to viral transcription as the inhibited step. Thus, our data strongly suggest that ZNRD1 is a host cellular factor that influences HIV-1 replication and disease progression in HIV-positive individuals.

Bilateral dorsal and ventral fiber pathways for the processing of affective prosody identified by probabilistic fiber tracking.

Dorsal and ventral pathways for syntacto-semantic speech processing in the left hemisphere are represented in the dual-stream model of auditory processing. Here we report new findings for the right dorsal and ventral temporo-frontal pathway during processing of affectively intonated speech (i.e. affective prosody) in humans, together with several left hemispheric structural connections, partly resembling those for syntacto-semantic speech processing. We investigated white matter fiber connectivity between regions responding to affective prosody in several subregions of the bilateral superior temporal cortex (secondary and higher-level auditory cortex) and of the inferior frontal cortex (anterior and posterior inferior frontal gyrus). The fiber connectivity was investigated by using probabilistic diffusion tensor based tractography. The results underscore several so far underestimated auditory pathway connections, especially for the processing of affective prosody, such as a right ventral auditory pathway. The results also suggest the existence of a dual-stream processing in the right hemisphere, and a general predominance of the dorsal pathways in both hemispheres underlying the neural processing of affective prosody in an extended temporo-frontal network.

Recent misconceptions about the "database search problem": a probabilistic analysis using Bayesian networks

This paper analyses and discusses arguments that emerge from a recent discussion about the proper assessment of the evidential value of correspondences observed between the characteristics of a crime stain and those of a sample from a suspect when (i) this latter individual is found as a result of a database search and (ii) remaining database members are excluded as potential sources (because of different analytical characteristics). Using a graphical probability approach (i.e., Bayesian networks), the paper here intends to clarify that there is no need to (i) introduce a correction factor equal to the size of the searched database (i.e., to reduce a likelihood ratio), nor to (ii) adopt a propositional level not directly related to the suspect matching the crime stain (i.e., a proposition of the kind 'some person in (outside) the database is the source of the crime stain' rather than 'the suspect (some other person) is the source of the crime stain'). The present research thus confirms existing literature on the topic that has repeatedly demonstrated that the latter two requirements (i) and (ii) should not be a cause of concern.

Probabilistic maximal covering location-allocation models with constrained waiting time or queue length for congested systems

When dealing with the design of service networks, such as healthand EMS services, banking or distributed ticket selling services, thelocation of service centers has a strong influence on the congestion ateach of them, and consequently, on the quality of service. In this paper,several models are presented to consider service congestion. The firstmodel addresses the issue of the location of the least number of single--servercenters such that all the population is served within a standard distance,and nobody stands in line for a time longer than a given time--limit, or withmore than a predetermined number of other clients. We then formulateseveral maximal coverage models, with one or more servers per service center.A new heuristic is developed to solve the models and tested in a 30--nodesnetwork.

Equine herpesvirus protein E10 induces membrane recruitment and phosphorylation of its cellular homologue, bcl-10.

v-E10, a caspase recruitment domain (CARD)-containing gene product of equine herpesvirus 2, is the viral homologue of the bcl-10 protein whose gene was found to be translocated in mucosa-associated lymphoid tissue (MALT) lymphomas. v-E10 efficiently activates the c-jun NH(2)-terminal kinase (JNK), p38 stress kinase, and the nuclear factor (NF)-kappaB transcriptional pathway and interacts with its cellular homologue, bcl-10, via a CARD-mediated interaction. Here we demonstrate that v-E10 contains a COOH-terminal geranylgeranylation consensus site which is responsible for its plasma membrane localization. Expression of v-E10 induces hyperphosphorylation and redistribution of bcl-10 from the cytoplasm to the plasma membrane, a process which is dependent on the intactness of the v-E10 CARD motif. Both membrane localization and a functional CARD motif are important for v-E10-mediated NF-kappaB induction, but not for JNK activation, which instead requires a functional v-E10 binding site for tumor necrosis factor receptor-associated factor (TRAF)6. Moreover, v-E10-induced NF-kappaB activation is inhibited by a dominant negative version of the bcl-10 binding protein TRAF1, suggesting that v-E10-induced membrane recruitment of cellular bcl-10 induces constitutive TRAF-mediated NF-kappaB activation.

MSISpIC: A Probabilistic Scan Matching Algorithm Using a Mechanical Scanned Imaging Sonar

This paper compares two well known scan matching algorithms: the MbICP and the pIC. As a result of the study, it is proposed the MSISpIC, a probabilistic scan matching algorithm for the localization of an Autonomous Underwater Vehicle (AUV). The technique uses range scans gathered with a Mechanical Scanning Imaging Sonar (MSIS), and the robot displacement estimated through dead-reckoning with the help of a Doppler Velocity Log (DVL) and a Motion Reference Unit (MRU). The proposed method is an extension of the pIC algorithm. Its major contribution consists in: 1) using an EKF to estimate the local path traveled by the robot while grabbing the scan as well as its uncertainty and 2) proposing a method to group into a unique scan, with a convenient uncertainty model, all the data grabbed along the path described by the robot. The algorithm has been tested on an AUV guided along a 600m path within a marina environment with satisfactory results

Orosomucoid (alpha1-acid glycoprotein) plasma concentration and genetic variants: effects on human immunodeficiency virus protease inhibitor clearance and cellular accumulation.

BACKGROUND AND OBJECTIVE: Protease inhibitors are highly bound to orosomucoid (ORM) (alpha1-acid glycoprotein), an acute-phase plasma protein encoded by 2 polymorphic genes, which may modulate their disposition. Our objective was to determine the influence of ORM concentration and phenotype on indinavir, lopinavir, and nelfinavir apparent clearance (CL(app)) and cellular accumulation. Efavirenz, mainly bound to albumin, was included as a control drug. METHODS: Plasma and cells samples were collected from 434 human immunodeficiency virus-infected patients. Total plasma and cellular drug concentrations and ORM concentrations and phenotypes were determined. RESULTS: Indinavir CL(app) was strongly influenced by ORM concentration (n = 36) (r2 = 0.47 [P = .00004]), particularly in the presence of ritonavir (r2 = 0.54 [P = .004]). Lopinavir CL(app) was weakly influenced by ORM concentration (n = 81) (r2 = 0.18 [P = .0001]). For both drugs, the ORM1 S variant concentration mainly explained this influence (r2 = 0.55 [P = .00004] and r2 = 0.23 [P = .0002], respectively). Indinavir CL(app) was significantly higher in F1F1 individuals than in F1S and SS patients (41.3, 23.4, and 10.3 L/h [P = .0004] without ritonavir and 21.1, 13.2, and 10.1 L/h [P = .05] with ritonavir, respectively). Lopinavir cellular exposure was not influenced by ORM abundance and phenotype. Finally, ORM concentration or phenotype did not influence nelfinavir (n = 153) or efavirenz (n = 198) pharmacokinetics. CONCLUSION: ORM concentration and phenotype modulate indinavir pharmacokinetics and, to a lesser extent, lopinavir pharmacokinetics but without influencing their cellular exposure. This confounding influence of ORM should be taken into account for appropriate interpretation of therapeutic drug monitoring results. Further studies are needed to investigate whether the measure of unbound drug plasma concentration gives more meaningful information than total drug concentration for indinavir and lopinavir.

Time-lapse and probabilistic inversion strategies for plane-wave electromagnetic data.

L'utilisation efficace des systèmes géothermaux, la séquestration du CO2 pour limiter le changement climatique et la prévention de l'intrusion d'eau salée dans les aquifères costaux ne sont que quelques exemples qui démontrent notre besoin en technologies nouvelles pour suivre l'évolution des processus souterrains à partir de la surface. Un défi majeur est d'assurer la caractérisation et l'optimisation des performances de ces technologies à différentes échelles spatiales et temporelles. Les méthodes électromagnétiques (EM) d'ondes planes sont sensibles à la conductivité électrique du sous-sol et, par conséquent, à la conductivité électrique des fluides saturant la roche, à la présence de fractures connectées, à la température et aux matériaux géologiques. Ces méthodes sont régies par des équations valides sur de larges gammes de fréquences, permettant détudier de manières analogues des processus allant de quelques mètres sous la surface jusqu'à plusieurs kilomètres de profondeur. Néanmoins, ces méthodes sont soumises à une perte de résolution avec la profondeur à cause des propriétés diffusives du champ électromagnétique. Pour cette raison, l'estimation des modèles du sous-sol par ces méthodes doit prendre en compte des informations a priori afin de contraindre les modèles autant que possible et de permettre la quantification des incertitudes de ces modèles de façon appropriée. Dans la présente thèse, je développe des approches permettant la caractérisation statique et dynamique du sous-sol à l'aide d'ondes EM planes. Dans une première partie, je présente une approche déterministe permettant de réaliser des inversions répétées dans le temps (time-lapse) de données d'ondes EM planes en deux dimensions. Cette stratégie est basée sur l'incorporation dans l'algorithme d'informations a priori en fonction des changements du modèle de conductivité électrique attendus. Ceci est réalisé en intégrant une régularisation stochastique et des contraintes flexibles par rapport à la gamme des changements attendus en utilisant les multiplicateurs de Lagrange. J'utilise des normes différentes de la norme l2 pour contraindre la structure du modèle et obtenir des transitions abruptes entre les régions du model qui subissent des changements dans le temps et celles qui n'en subissent pas. Aussi, j'incorpore une stratégie afin d'éliminer les erreurs systématiques de données time-lapse. Ce travail a mis en évidence l'amélioration de la caractérisation des changements temporels par rapport aux approches classiques qui réalisent des inversions indépendantes à chaque pas de temps et comparent les modèles. Dans la seconde partie de cette thèse, j'adopte un formalisme bayésien et je teste la possibilité de quantifier les incertitudes sur les paramètres du modèle dans l'inversion d'ondes EM planes. Pour ce faire, je présente une stratégie d'inversion probabiliste basée sur des pixels à deux dimensions pour des inversions de données d'ondes EM planes et de tomographies de résistivité électrique (ERT) séparées et jointes. Je compare les incertitudes des paramètres du modèle en considérant différents types d'information a priori sur la structure du modèle et différentes fonctions de vraisemblance pour décrire les erreurs sur les données. Les résultats indiquent que la régularisation du modèle est nécessaire lorsqu'on a à faire à un large nombre de paramètres car cela permet d'accélérer la convergence des chaînes et d'obtenir des modèles plus réalistes. Cependent, ces contraintes mènent à des incertitudes d'estimations plus faibles, ce qui implique des distributions a posteriori qui ne contiennent pas le vrai modèledans les régions ou` la méthode présente une sensibilité limitée. Cette situation peut être améliorée en combinant des méthodes d'ondes EM planes avec d'autres méthodes complémentaires telles que l'ERT. De plus, je montre que le poids de régularisation des paramètres et l'écart-type des erreurs sur les données peuvent être retrouvés par une inversion probabiliste. Finalement, j'évalue la possibilité de caractériser une distribution tridimensionnelle d'un panache de traceur salin injecté dans le sous-sol en réalisant une inversion probabiliste time-lapse tridimensionnelle d'ondes EM planes. Etant donné que les inversions probabilistes sont très coûteuses en temps de calcul lorsque l'espace des paramètres présente une grande dimension, je propose une stratégie de réduction du modèle ou` les coefficients de décomposition des moments de Legendre du panache de traceur injecté ainsi que sa position sont estimés. Pour ce faire, un modèle de résistivité de base est nécessaire. Il peut être obtenu avant l'expérience time-lapse. Un test synthétique montre que la méthodologie marche bien quand le modèle de résistivité de base est caractérisé correctement. Cette méthodologie est aussi appliquée à un test de trac¸age par injection d'une solution saline et d'acides réalisé dans un système géothermal en Australie, puis comparée à une inversion time-lapse tridimensionnelle réalisée selon une approche déterministe. L'inversion probabiliste permet de mieux contraindre le panache du traceur salin gr^ace à la grande quantité d'informations a priori incluse dans l'algorithme. Néanmoins, les changements de conductivités nécessaires pour expliquer les changements observés dans les données sont plus grands que ce qu'expliquent notre connaissance actuelle des phénomenès physiques. Ce problème peut être lié à la qualité limitée du modèle de résistivité de base utilisé, indiquant ainsi que des efforts plus grands devront être fournis dans le futur pour obtenir des modèles de base de bonne qualité avant de réaliser des expériences dynamiques. Les études décrites dans cette thèse montrent que les méthodes d'ondes EM planes sont très utiles pour caractériser et suivre les variations temporelles du sous-sol sur de larges échelles. Les présentes approches améliorent l'évaluation des modèles obtenus, autant en termes d'incorporation d'informations a priori, qu'en termes de quantification d'incertitudes a posteriori. De plus, les stratégies développées peuvent être appliquées à d'autres méthodes géophysiques, et offrent une grande flexibilité pour l'incorporation d'informations additionnelles lorsqu'elles sont disponibles. -- The efficient use of geothermal systems, the sequestration of CO2 to mitigate climate change, and the prevention of seawater intrusion in coastal aquifers are only some examples that demonstrate the need for novel technologies to monitor subsurface processes from the surface. A main challenge is to assure optimal performance of such technologies at different temporal and spatial scales. Plane-wave electromagnetic (EM) methods are sensitive to subsurface electrical conductivity and consequently to fluid conductivity, fracture connectivity, temperature, and rock mineralogy. These methods have governing equations that are the same over a large range of frequencies, thus allowing to study in an analogous manner processes on scales ranging from few meters close to the surface down to several hundreds of kilometers depth. Unfortunately, they suffer from a significant resolution loss with depth due to the diffusive nature of the electromagnetic fields. Therefore, estimations of subsurface models that use these methods should incorporate a priori information to better constrain the models, and provide appropriate measures of model uncertainty. During my thesis, I have developed approaches to improve the static and dynamic characterization of the subsurface with plane-wave EM methods. In the first part of this thesis, I present a two-dimensional deterministic approach to perform time-lapse inversion of plane-wave EM data. The strategy is based on the incorporation of prior information into the inversion algorithm regarding the expected temporal changes in electrical conductivity. This is done by incorporating a flexible stochastic regularization and constraints regarding the expected ranges of the changes by using Lagrange multipliers. I use non-l2 norms to penalize the model update in order to obtain sharp transitions between regions that experience temporal changes and regions that do not. I also incorporate a time-lapse differencing strategy to remove systematic errors in the time-lapse inversion. This work presents improvements in the characterization of temporal changes with respect to the classical approach of performing separate inversions and computing differences between the models. In the second part of this thesis, I adopt a Bayesian framework and use Markov chain Monte Carlo (MCMC) simulations to quantify model parameter uncertainty in plane-wave EM inversion. For this purpose, I present a two-dimensional pixel-based probabilistic inversion strategy for separate and joint inversions of plane-wave EM and electrical resistivity tomography (ERT) data. I compare the uncertainties of the model parameters when considering different types of prior information on the model structure and different likelihood functions to describe the data errors. The results indicate that model regularization is necessary when dealing with a large number of model parameters because it helps to accelerate the convergence of the chains and leads to more realistic models. These constraints also lead to smaller uncertainty estimates, which imply posterior distributions that do not include the true underlying model in regions where the method has limited sensitivity. This situation can be improved by combining planewave EM methods with complimentary geophysical methods such as ERT. In addition, I show that an appropriate regularization weight and the standard deviation of the data errors can be retrieved by the MCMC inversion. Finally, I evaluate the possibility of characterizing the three-dimensional distribution of an injected water plume by performing three-dimensional time-lapse MCMC inversion of planewave EM data. Since MCMC inversion involves a significant computational burden in high parameter dimensions, I propose a model reduction strategy where the coefficients of a Legendre moment decomposition of the injected water plume and its location are estimated. For this purpose, a base resistivity model is needed which is obtained prior to the time-lapse experiment. A synthetic test shows that the methodology works well when the base resistivity model is correctly characterized. The methodology is also applied to an injection experiment performed in a geothermal system in Australia, and compared to a three-dimensional time-lapse inversion performed within a deterministic framework. The MCMC inversion better constrains the water plumes due to the larger amount of prior information that is included in the algorithm. The conductivity changes needed to explain the time-lapse data are much larger than what is physically possible based on present day understandings. This issue may be related to the base resistivity model used, therefore indicating that more efforts should be given to obtain high-quality base models prior to dynamic experiments. The studies described herein give clear evidence that plane-wave EM methods are useful to characterize and monitor the subsurface at a wide range of scales. The presented approaches contribute to an improved appraisal of the obtained models, both in terms of the incorporation of prior information in the algorithms and the posterior uncertainty quantification. In addition, the developed strategies can be applied to other geophysical methods, and offer great flexibility to incorporate additional information when available.

E2F1 regulates cellular growth by mTOR signaling

During cell proliferation, growth must occur to maintain homeostatic cell size. Here we show that E2F1 is capable of inducing growth by regulating mTORC1 activity. The activation of cell growth and mTORC1 by E2F1 is dependent on both E2F1's ability to bind DNA and to regulate gene transcription, demonstrating that a gene induction expression program is required in this process. Unlike E2F1, E2F3 is unable to activate mTORC1, suggesting that growth activity could be restricted to individual E2F members. The effect of E2F1 on the activation of mTORC1 does not depend on Akt. Furthermore, over-expression of TSC2 does not interfere with the effect of E2F1, indicating that the E2F1-induced signal pathway can compensate for the inhibitory effect of TSC2 on Rheb. Immunolocalization studies demonstrate that E2F1 induces the translocation of mTORC1 to the late endosome vesicles, in a mechanism dependent of leucine. E2F1 and leucine, or insulin, together affect the activation of S6K stronger than alone suggesting that they are complementary in activating the signal pathway. From these studies, E2F1 emerges as a key protein that integrates cell division and growth, both of which are essential for cell proliferation.

Organometallic anticancer agents that interfere with cellular energy processes: a subtle approach to inducing cancer cell death.

Two hybrid compounds comprising an antimetastatic ruthenium-arene fragment tethered to an indazole-3-carboxylic acid derivative that inhibits aerobic glycolysis in cancer cells have been prepared and evaluated in a variety of cancer cell lines, including highly relevant human glioblastoma cells, with an apparent synergistic action between the two components observed.