An examination of the effects of 4E-T-mediated re-localization of eIF4E on eIF4E function

Le facteur d'initiation de la traduction chez les eukaryotes eIF4E (4E) est un puissant oncogène en raison de sa capacité à faciliter l'export et/ou la traduction de certains transcripts, dont beaucoup sont eux-mêmes des oncogènes. 4E intéragit avec un grand nombre de protéines régulatrices dont la protéine 4E-T (pour 4E-Transporter). La capacité de 4E-T à modifier la localisation subcellulaire de 4E pourrait offrir un mécanisme permettant de modifier le potentiel oncogène d'une cellule. La surexpression de 4E-T dans des cellules d'ostéosarcome conduit à l’augmentation du nombre et de la taille des P-bodies, dans lesquels 4E colocalisent avec 4E-T mais pas avec la version tronquée 4E-T/Y30A. Cependant, les différentes expériences menées, permettant d’analyser les taux de transcription, la quantité de protéine, les profiles polysomiques ainsi que la distribution nucléo-cytoplasmique, montrent que la surexpression de 4E-T n'a pas d'effet sur la fonction de 4E. L'observation d’un enrichissement cytoplasmique et d’une charge réduite de ribosomes sur les transcripts codant les protéines cycline D1 et ODC (profile polysomique) dans la lignée 4E-T suggère un role de 4E-T dans la séquestration cytoplasmique de certains transcrips par un mécanisme qui reste encore à déterminer.

Study of the subcellular localization of cell cycle regulator Cks1 and its impact on cancer

La progression dans le cycle cellulaire est contrôlée par de vagues oscillantes de cyclines et des kinases cycline-dépendantes (Cdk). Ces kinases sont régulées positivement par l’association des sous-unités cyclines régulatrices et négativement en se liant aux inhibiteurs de Cdk. Parmi ces derniers, p27 inhibe tous les complexes cycline-Cdk quelle que soit la phase cellulaire et agit en tant que régulateur négatif principal de la prolifération cellulaire dans une variété de cellules et de tissus. Intrinsèquement, p27 phosphorylé est ubiquitiné et dégradé par le complexe SCFSkp2-Cks1. Des études génétiques de la souris, ainsi que des examens cliniques chez l’homme, ont montré que p27 est un important suppresseur de tumeur. Le gène est rarement muté. Cependant, p27 est fréquemment réprimé dans les cancers humains en raison d’une augmentation de l’expression de Skp2 et de Cks1 dans le noyau, ce qui est généralement associée à un mauvais pronostic. La localisation subcellulaire de Cks1 est donc d'une importance primordiale dans le contrôle de la prolifération cellulaire. Les résultats récents de notre laboratoire ont montré une interaction entre Cks1 et les protéines de transport nucléaire importine α1 et β3. Aussi, l’analyse de la séquence primaire de Cks1 a également révélé un signal de localisation nucléaire classique (NLS) à son extrémité C-terminale. Des mutations ont été effectuées sur le NLS suspect pour déterminer si oui ou non l'import nucléaire de Cks1 était contrôlé par cette séquence. Un inhibiteur synthétique de l’importine β a également été utilisé pour étudier l’import de Cks1 dans le noyau. Les résultats indiquent que l’extrémité C-terminale de Cks1 est en effet un NLS puisque les mutations de Cks1 et l'inhibition de l’importine β conduisent, tous deux, à l'accumulation de Cks1 dans le cytoplasme. Ces résultats ont été utiles pour mieux comprendre le mécanisme régulant la localisation de Cks1. Toutefois, des travaux futurs sont nécessaires pour mieux comprendre l'impact de la séquestration cytoplasmique de Cks1 sur le cancer et ainsi espérer aboutir à l'identification de nouvelles cibles pharmacologiques impliqués dans la prolifération cellulaire.

The Relation Between Depressive Symptoms and Semantic Memory in Amnestic Mild Cognitive Impairment and in Late-Life Depression

Semantic deficits have been documented in the prodromal phase of Alzheimer’s disease, but it is unclear whether these deficits are associated with non-cognitive manifestations. For instance, recent evidence indicates that cognitive deficits in elders with amnestic mild cognitive impairment (aMCI) are modulated by concomitant depressive symptoms. The purposes of this study were to (i) investigate if semantic memory impairment in aMCI is modulated according to the presence (aMCI-D group) or absence (aMCI group) of depressive symptoms, and (ii) compare semantic memory performance of aMCI and aMCI-D groups to that of patients with late-life depression (LLD). Seventeen aMCI, 16 aMCI-D, 15 LLD, and 26 healthy control participants were administered a semantic questionnaire assessing famous person knowledge. Results showed that performance of aMCI-D patients was impaired compared to the control and LLD groups. However, in the aMCI group performance was comparable to that of all other groups. Overall, these findings suggest that semantic deficits in aMCI are somewhat associated with the presence of concomitant depressive symptoms. However, depression alone cannot account solely for the semantic deficits since LLD patients showed no semantic memory impairment in this study. Future studies should aim at clarifying the association between depression and semantic deficits in older adults meeting aMCI criteria.

Localization and function of the endocannabinoid system throughout the retinogeniculate pathway of vervet monkeys

Le système endocannabinoïde (eCB) est présent dans le système nerveux central (SNC) de mammifères, incluant la rétine, et est responsable de la régulation de nombreux processus physiologiques. Bien que la présence du récepteur cannabinoïde de type 1 (CB1R) a bien été documenté dans la rétine de rongeurs et primates, il y a encore une controverse quant à la présence du récepteur cannabinoïde de type 2 (CB2R) au niveau du SNC. En utilisant la microscopie confocale, nous sommes les premiers à signaler les patrons d’expression du CB2R dans la rétine de singe. Nos résultats démontrent que le CB2R est exprimé exclusivement dans les cellules de Müller de la rétine du singe. En outre, nous avons comparé les différents patrons d’expression du système eCB dans la rétine de la souris, du toupaye, ainsi que du singe vervet et macaque. Nous rapportons que les distributions de CB1R, FAAH (fatty acid amid hydrolase), MAGL (monoacylglycerol lipase) et DAGLα (diacylglycerol lipase alpha) sont hautement conservées parmi ces espèces alors que CB2R et NAPE-PLD (N-acyl phosphatidylethanolamine phospholipase D) présentent différents profils d'expression. CB2R n'a pas été détecté dans les cellules neuronales de la rétine des primates. L’immunoréactivité de NAPE-PLD est présente dans les couches de la rétine de souris et toupayes, mais a été limitée à la couche des photorécepteurs des singes vervet et macaque. Pour étudier les corrélats neuronaux et le rôle de la signalisation du système eCB dans la rétine, nous avons établi un protocole standard pour l'électrorétinographie (ERG), puis enregistré la réponse ERG de la rétine après le blocage des récepteurs avec des antagonistes spécifiques pour CB1R (AM251) et CB2R (AM630). Comparé au témoin, dans des conditions photopiques, et à certaines intensités faibles du stimulus, le blocage de CB1R diminue l'amplitude de l'onde-b, alors qu’à des intensités plus élevées, le blocage de CB2R augmente l'amplitude des deux-ondes a et b. De plus, le blocage des récepteurs cannabinoïdes provoque une augmentation de la latence des deux ondes a et b. Dans des conditions d’adaptation à l'obscurité, le blocage de CB1R et CB2R réduit l’amplitudes de l'onde a seulement à des intensités plus élevées et réduit l’onde b à intensités plus faibles. Des augmentations significatives de latence ont été observées dans les deux cas. Ces résultats indiquent que les récepteurs CB1 et CB2 chez les primates non humains sont impliqués dans la fonction rétinienne conditions photopiques. En outre, nous avons évalué le profil d'expression du CB1R, de FAAH et de NAPE-PLD au-delà de la rétine dans le corps géniculé latéral des singes et nous rapportons pour la première fois que CB1R et FAAH sont exprimés davantage dans les couches magnocellulaires. La NAPE-PLD a été localisée à travers les couches magno- et parvocellulaires. Aucune de ces composantes n’est exprimée dans les couches koniocellulaires. Ces résultats nous aident à mieux comprendre les effets des cannabinoïdes sur le système visuel qui pourraient nous mener à trouver éventuellement de nouvelles cibles thérapeutiques.

Neural changes associated with semantic processing in healthy aging despite intact behavioral performance

Semantic memory recruits an extensive neural network including the left inferior prefrontal cortex (IPC) and the left temporoparietal region, which are involved in semantic control processes, as well as the anterior temporal lobe region (ATL) which is considered to be involved in processing semantic information at a central level. However, little is known about the underlying neuronal integrity of the semantic network in normal aging. Young and older healthy adults carried out a semantic judgment task while their cortical activity was recorded using magnetoencephalography (MEG). Despite equivalent behavioral performance, young adults activated the left IPC to a greater extent than older adults, while the latter group recruited the temporoparietal region bilaterally and the left ATL to a greater extent than younger adults. Results indicate that significant neuronal changes occur in normal aging, mainly in regions underlying semantic control processes, despite an apparent stability in performance at the behavioral level.

A Beacon based Localization System for Autonomous Mobile Robots and its Applications in Traffic and Transport Control

ACCURATE sensing of vehicle position and attitude is still a very challenging problem in many mobile robot applications. The mobile robot vehicle applications must have some means of estimating where they are and in which direction they are heading. Many existing indoor positioning systems are limited in workspace and robustness because they require clear lines-of-sight or do not provide absolute, driftfree measurements.The research work presented in this dissertation provides a new approach to position and attitude sensing system designed specifically to meet the challenges of operation in a realistic, cluttered indoor environment, such as that of an office building, hospital, industrial or warehouse. This is accomplished by an innovative assembly of infrared LED source that restricts the spreading of the light intensity distribution confined to a sheet of light and is encoded with localization and traffic information. This Digital Infrared Sheet of Light Beacon (DISLiB) developed for mobile robot is a high resolution absolute localization system which is simple, fast, accurate and robust, without much of computational burden or significant processing. Most of the available beacon's performance in corridors and narrow passages are not satisfactory, whereas the performance of DISLiB is very encouraging in such situations. This research overcomes most of the inherent limitations of existing systems.The work further examines the odometric localization errors caused by over count readings of an optical encoder based odometric system in a mobile robot due to wheel-slippage and terrain irregularities. A simple and efficient method is investigated and realized using an FPGA for reducing the errors. The detection and correction is based on redundant encoder measurements. The method suggested relies on the fact that the wheel slippage or terrain irregularities cause more count readings from the encoder than what corresponds to the actual distance travelled by the vehicle.The application of encoded Digital Infrared Sheet of Light Beacon (DISLiB) system can be extended to intelligent control of the public transportation system. The system is capable of receiving traffic status input through a GSM (Global System Mobile) modem. The vehicles have infrared receivers and processors capable of decoding the information, and generating the audio and video messages to assist the driver. The thesis further examines the usefulness of the technique to assist the movement of differently-able (blind) persons in indoor or outdoor premises of his residence.The work addressed in this thesis suggests a new way forward in the development of autonomous robotics and guidance systems. However, this work can be easily extended to many other challenging domains, as well.

An Error-Localization, Validation and Optimization Tool for Embedded Code Augmentation: an Architecture Oriented Approach

Embedded systems are usually designed for a single or a specified set of tasks. This specificity means the system design as well as its hardware/software development can be highly optimized. Embedded software must meet the requirements such as high reliability operation on resource-constrained platforms, real time constraints and rapid development. This necessitates the adoption of static machine codes analysis tools running on a host machine for the validation and optimization of embedded system codes, which can help meet all of these goals. This could significantly augment the software quality and is still a challenging field.Embedded systems are usually designed for a single or a specified set of tasks. This specificity means the system design as well as its hardware/software development can be highly optimized. Embedded software must meet the requirements such as high reliability operation on resource-constrained platforms, real time constraints and rapid development. This necessitates the adoption of static machine codes analysis tools running on a host machine for the validation and optimization of embedded system codes, which can help meet all of these goals. This could significantly augment the software quality and is still a challenging field.Embedded systems are usually designed for a single or a specified set of tasks. This specificity means the system design as well as its hardware/software development can be highly optimized. Embedded software must meet the requirements such as high reliability operation on resource-constrained platforms, real time constraints and rapid development. This necessitates the adoption of static machine codes analysis tools running on a host machine for the validation and optimization of embedded system codes, which can help meet all of these goals. This could significantly augment the software quality and is still a challenging field.Embedded systems are usually designed for a single or a specified set of tasks. This specificity means the system design as well as its hardware/software development can be highly optimized. Embedded software must meet the requirements such as high reliability operation on resource-constrained platforms, real time constraints and rapid development. This necessitates the adoption of static machine codes analysis tools running on a host machine for the validation and optimization of embedded system codes, which can help meet all of these goals. This could significantly augment the software quality and is still a challenging field.This dissertation contributes to an architecture oriented code validation, error localization and optimization technique assisting the embedded system designer in software debugging, to make it more effective at early detection of software bugs that are otherwise hard to detect, using the static analysis of machine codes. The focus of this work is to develop methods that automatically localize faults as well as optimize the code and thus improve the debugging process as well as quality of the code.Validation is done with the help of rules of inferences formulated for the target processor. The rules govern the occurrence of illegitimate/out of place instructions and code sequences for executing the computational and integrated peripheral functions. The stipulated rules are encoded in propositional logic formulae and their compliance is tested individually in all possible execution paths of the application programs. An incorrect sequence of machine code pattern is identified using slicing techniques on the control flow graph generated from the machine code.An algorithm to assist the compiler to eliminate the redundant bank switching codes and decide on optimum data allocation to banked memory resulting in minimum number of bank switching codes in embedded system software is proposed. A relation matrix and a state transition diagram formed for the active memory bank state transition corresponding to each bank selection instruction is used for the detection of redundant codes. Instances of code redundancy based on the stipulated rules for the target processor are identified.This validation and optimization tool can be integrated to the system development environment. It is a novel approach independent of compiler/assembler, applicable to a wide range of processors once appropriate rules are formulated. Program states are identified mainly with machine code pattern, which drastically reduces the state space creation contributing to an improved state-of-the-art model checking. Though the technique described is general, the implementation is architecture oriented, and hence the feasibility study is conducted on PIC16F87X microcontrollers. The proposed tool will be very useful in steering novices towards correct use of difficult microcontroller features in developing embedded systems.

Underwater Target Localization, Tracking and Classification

Underwater target localization and tracking attracts tremendous research interest due to various impediments to the estimation task caused by the noisy ocean environment. This thesis envisages the implementation of a prototype automated system for underwater target localization, tracking and classification using passive listening buoy systems and target identification techniques. An autonomous three buoy system has been developed and field trials have been conducted successfully. Inaccuracies in the localization results, due to changes in the environmental parameters, measurement errors and theoretical approximations are refined using the Kalman filter approach. Simulation studies have been conducted for the tracking of targets with different scenarios even under maneuvering situations. This system can as well be used for classifying the unknown targets by extracting the features of the noise emanations from the targets.

Comparison of Statistical and Semantic Similarity Techniques for Paraphrase Identification

This paper compares statistical technique of paraphrase identification to semantic technique of paraphrase identification. The statistical techniques used for comparison are word set and word-order based methods where as the semantic technique used is the WordNet similarity matrix method described by Stevenson and Fernando in [3].

eLearning and Semantic Web

Semantic Web: Software agents on the Semantic Web may use commonly agreed service language, which enables co-ordination between agents and proactive delivery of learning materials in the context of actual problems. The vision is that each user has his own personalized agent that communicates with other agents.

A Realization Of An Fpga Sub System For Reducing Odometric Localization Errors In Wheeled Mobile Robots

This paper introduces a simple and efficient method and its implementation in an FPGA for reducing the odometric localization errors caused by over count readings of an optical encoder based odometric system in a mobile robot due to wheel-slippage and terrain irregularities. The detection and correction is based on redundant encoder measurements. The method suggested relies on the fact that the wheel slippage or terrain irregularities cause more count readings from the encoder than what corresponds to the actual distance travelled by the vehicle. The standard quadrature technique is used to obtain four counts in each encoder period. In this work a three-wheeled mobile robot vehicle with one driving-steering wheel and two-fixed rear wheels in-axis, fitted with incremental optical encoders is considered. The CORDIC algorithm has been used for the computation of sine and cosine terms in the update equations. The results presented demonstrate the effectiveness of the technique

An Encoded Infrared Sheet Of Light Navigational Beacon System For Precise Localization Of Indoor Mobile Robot Vehicles

A new localization approach to increase the navigational capabilities and object manipulation of autonomous mobile robots, based on an encoded infrared sheet of light beacon system, which provides position errors smaller than 0.02m is presented in this paper. To achieve this minimal position error, a resolution enhancement technique has been developed by utilising an inbuilt odometric/optical flow sensor information. This system respects strong low cost constraints by using an innovative assembly for the digitally encoded infrared transmitter. For better guidance of mobile robot vehicles, an online traffic signalling capability is also incorporated. Other added features are its less computational complexity and online localization capability all these without any estimation uncertainty. The constructional details, experimental results and computational methodologies of the system are also described

On the localization of electrons and holes in Hg_n and rare-gas clusters

We have used a microscopic theory to study the size dependence of the degree of localization of the valence electrons and holes in neutral an ionized rare-gas and Hg_n clusters. We discuss under which circumstances localization of the electrons and holes is favoured. We have calculated the ionization potential of Xe_n, Kr_n and small Hg_n clusters. Good agreement with experiments is obtained. We have also determined the dependence of the ionization potential on cluster structure.

Towards semantic web mining

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.

Semantic web mining and the representation, analysis, and evolution of web space

Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: Growing numbers of researchers work on improving the results of Web Mining by exploiting semantic structures in the Web, and they use Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The second aim of this paper is to use these concepts to circumscribe what Web space is, what it represents and how it can be represented and analyzed. This is used to sketch the role that Semantic Web Mining and the software agents and human agents involved in it can play in the evolution of Web space.