928 resultados para Self-organization of States


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"Mémoire présenté à la faculté des études supérieures en vue de l'obtention du grade de Maîtrise en droit (LL.M.)". Ce mémoire a été accepté à l'unanimité et classé parmi les 10% des mémoires de la discipline.

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Les antibiotiques aminoglycosidiques sont des agents bactéricides de grande valeur et d’efficacité à large spectre contre les pathogènes Gram-positifs et Gram-négatifs, dont plusieurs membres naturels et semisynthétiques sont importants dans l’histoire clinique depuis 1950. Des travaux crystallographiques sur le ribosome, récompensés par le prix Nobel, ont démontré comment leurs diverses structures polyaminées sont adaptées pour cibler une hélice d’ARN dans le centre de codage de la sous-unité 30S du ribosome bactérien. Leur interférence avec l’affinité et la cinétique des étapes de sélection et vérification des tARN induit la synthèse de protéines à basse fidélité, et l’inhibition de la translocation, établissant un cercle vicieux d’accumulation d’antibiotique et de stress sur la membrane. En réponse à ces pressions, les pathogènes bactériens ont évolué et disséminé une panoplie de mécanismes de résistance enzymatiques et d’expulsion : tels que les N acétyltransférases, les O phosphotransférases et les O nucleotidyltransférases qui ciblent les groupements hydroxyle et amino sur le coeur des aminoglycosides; des méthyl-transférases, qui ciblent le site de liaison ribosomale; et des pompes d’expulsion actives pour l’élimination sélective des aminoglycosides, qui sont utilisés par les souches Gram-négatives. Les pathogènes les plus problématiques, qui présentent aujourd’hui une forte résilience envers la majorité des classes d’antibiotiques sur le bord de la pan-résistance ont été nommés des bactéries ESKAPE, une mnémonique pour Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa et Enterobacteriaceae. La distribution globale des souches avec des mécanismes de résistance envers les standards cliniques aminoglycosides, tels que la tobramycine, l’amikacine et la gentamicine, est comprise entre 20 et 60% des isolées cliniques. Ainsi, les aminoglycosides du type 4,6-disubstitués-2-deoxystreptamine sont inadéquats comme thérapies anti-infectieuses à large spectre. Cependant, la famille des aminoglycosides 4,5-disubstitués, incluant la butirosine, la neomycine et la paromomycine, dont la structure plus complexe, pourrait constituter une alternative. Des collègues dans le groupe Hanessian et collaborateurs d’Achaogen Inc. ont démontré que certains analogues de la paraomomycine et neomycine, modifiés par désoxygénation sur les positions 3’ et 4’, et par substitution avec la chaîne N1-α-hydroxy-γ-aminobutyramide (HABA) provenant de la butirosine, pourrait produire des antibiotiques très prometteurs. Le Chapitre 4 de cette dissertation présente la conception et le développement d’une stratégie semi-synthétique pour produire des nouveaux aminoglycosides améliorés du type 4,5 disubstitués, inspiré par des modifications biosynthétiques de la sisomicine, qui frustrent les mécanismes de résistance bactérienne distribuées globalement. Cette voie de synthèse dépend d’une réaction d’hydrogénolyse de type Tsuji catalysée par palladium, d’abord développée sur des modèles monosaccharides puis subséquemment appliquée pour générer un ensemble d’aminoglycosides hybrides entre la neomycine et la sisomicine. Les études structure-activité des divers analogues de cette nouvelle classe ont été évaluées sur une gamme de 26 souches bactériennes exprimant des mécanismes de résistance enzymatique et d’expulsion qui englobe l’ensemble des pathogènes ESKAPE. Deux des antibiotiques hybrides ont une couverture antibacterienne excellente, et cette étude a mis en évidence des candidats prometteurs pour le développement préclinique. La thérapie avec les antibiotiques aminoglycosidiques est toujours associée à une probabilité de complications néphrotoxiques. Le potentiel de toxicité de chaque aminoglycoside peut être largement corrélé avec le nombre de groupements amino et de désoxygénations. Une hypothèse de longue date dans le domaine indique que les interactions principales sont effectuées par des sels des groupements ammonium, donc l’ajustement des paramètres de pKa pourrait provoquer une dissociation plus rapide avec leurs cibles, une clairance plus efficace et globalement des analogues moins néphrotoxiques. Le Chapitre 5 de cette dissertation présente la conception et la synthèse asymétrique de chaînes N1 HABA β substitutées par mono- et bis-fluoration. Des chaînes qui possèdent des γ-N pKa dans l’intervalle entre 10 et 7.5 ont été appliquées sur une neomycine tétra-désoxygénée pour produire des antibiotiques avancés. Malgré la réduction considérable du γ N pKa, le large spectre bactéricide n’a pas été significativement affecté pour les analogues fluorés isosteriques. De plus, des études structure-toxicité évaluées avec une analyse d’apoptose propriétaire d’Achaogen ont démontré que la nouvelle chaîne β,β difluoro-N1-HABA est moins nocive sur un modèle de cellules de rein humain HK2 et elle est prometteuse pour le développement d’antibiotiques du type neomycine avec des propriétés thérapeutiques améliorées. Le chapitre final de cette dissertation présente la proposition et validation d’une synthèse biomimétique par assemblage spontané du aminoglycoside 66-40C, un dimère C2 symétrique bis-imine macrocyclique à 16 membres. La structure proposée du macrocycle a été affinée par spectroscopie nucléaire à un système trans,trans-bis-azadiène anti-parallèle. Des calculs indiquent que l’effet anomérique de la liaison α glycosidique entre les anneaux A et B fournit la pré-organisation pour le monomère 6’ aldéhydo sisomicine et favorise le produit macrocyclique observé. L’assemblage spontané dans l’eau a été étudié par la dimérisation de trois divers analogues et par des expériences d’entre croisement qui ont démontré la généralité et la stabilité du motif macrocyclique de l'aminoglycoside 66-40C.

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La monografía presenta la auto-organización sociopolítica como la mejor manera de lograr patrones organizados en los sistemas sociales humanos, dada su naturaleza compleja y la imposibilidad de las tareas computacionales de los regímenes políticos clásico, debido a que operan con control jerárquico, el cual ha demostrado no ser óptimo en la producción de orden en los sistemas sociales humanos. En la monografía se extrapola la teoría de la auto-organización en los sistemas biológicos a las dinámicas sociopolíticas humanas, buscando maneras óptimas de organizarlas, y se afirma que redes complejas anárquicas son la estructura emergente de la auto-organización sociopolítica.

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This paper highlights the key role played by solubility in influencing gelation and demonstrates that many facets of the gelation process depend on this vital parameter. In particular, we relate thermal stability (T-gel) and minimum gelation concentration (MGC) values of small-molecule gelation in terms of the solubility and cooperative self-assembly of gelator building blocks. By employing a van't Hoff analysis of solubility data, determined from simple NMR measurements, we are able to generate T-calc values that reflect the calculated temperature for complete solubilization of the networked gelator. The concentration dependence of T-calc allows the previously difficult to rationalize "plateau-region" thermal stability values to be elucidated in terms of gelator molecular design. This is demonstrated for a family of four gelators with lysine units attached to each end of an aliphatic diamine, with different peripheral groups (Z or Bee) in different locations on the periphery of the molecule. By tuning the peripheral protecting groups of the gelators, the solubility of the system is modified, which in turn controls the saturation point of the system and hence controls the concentration at which network formation takes place. We report that the critical concentration (C-crit) of gelator incorporated into the solid-phase sample-spanning network within the gel is invariant of gelator structural design. However, because some systems have higher solubilities, they are less effective gelators and require the application of higher total concentrations to achieve gelation, hence shedding light on the role of the MGC parameter in gelation. Furthermore, gelator structural design also modulates the level of cooperative self-assembly through solubility effects, as determined by applying a cooperative binding model to NMR data. Finally, the effect of gelator chemical design on the spatial organization of the networked gelator was probed by small-angle neutron and X-ray scattering (SANS/SAXS) on the native gel, and a tentative self-assembly model was proposed.

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The electronic structure and spectroscopic properties of a manifold of states of a new molecular species, BeAs, have been investigated theoretically at the complete active space self-consistent field/multireference single and double excitations configuration interaction (CASSCF/MRSDCI) approach, using the aug-cc-pV5Z-PP basis set for arsenic, which includes a relativistic effective core potential, and the cc-pV5Z set for beryllium. Potential energy curves of five quartet and eight doublet (I > + S) states correlating with the five lowest-lying dissociation limit are constructed. The effect of spin-orbit coupling is also included in the description of the ground state, and of the doublet states correlating with the second dissociation channel. Dipole moment functions and vibrationally averaged dipole moments are also evaluated. The similarities and differences between BeAs, BeP, and BeN are analyzed. Spin-orbit effects are small for the ground state close to the equilibrium distance, but avoided crossings between Omega = 1/2 states, and between Omega = 3/2 states changes significantly the I > + S curves for the lowest-lying doublets.

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A very high level of theoretical treatment (complete active space self-consistent field CASSCF/MRCI/aug-cc-pV5Z) was used to characterize the spectroscopic properties of a manifold of quartet and doublet states of the species BeP, as yet experimentally unknown. Potential energy curves for 11 electronic states were obtained, as well as the associated vibrational energy levels, and a whole set of spectroscopic constants. Dipole moment functions and vibrationally averaged dipole moments were also evaluated. Similarities and differences between BeN and BeP were analysed along with the isovalent SiB species. The molecule BeP has a X (4)Sigma(-) ground state, with an equilibrium bond distance of 2.073 angstrom, and a harmonic frequency of 516.2 cm(-1); it is followed closely by the states (2)Pi (R(e) = 2.081 angstrom, omega(e) = 639.6 cm(-1)) and (2)Sigma(-) (R(e) = 2.074 angstrom, omega(e) = 536.5 cm(-1)), at 502 and 1976 cm(-1), respectively. The other quartets investigated, A (4)Pi (R(e) = 1.991 angstrom, omega(e) = 555.3 cm(-1)) and B (4)Sigma(-) (R(e) = 2.758 angstrom, omega(e) = 292.2 cm(-1)) lie at 13 291 and 24 394 cm(-1), respectively. The remaining doublets ((2)Delta, (2)Sigma(+)(2) and (2)Pi(3)) all fall below 28 000 cm(-1). Avoided crossings between the (2)Sigma(+) states and between the (2)Pi states add an extra complexity to this manifold of states.

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Objective: The aim of this study was to evaluate the human pulp response following direct pulp capping with a current self-etching bonding agent and calcium hydroxide (CH). Methods: Thirty-three sound human premolars had their pulp tissue mechanically exposed. Sterile distilled water was used to control the hemorrhage and exudation from the pulp exposure site. The pulps were capped with Clearfil Liner Bond 2 (CLB-2) or CH and the cavities were filled with a resin composite (Z-100) according to the manufacturer's instructions. After 5, 30 and 120-300 days, the teeth were extracted and processed for microscopic examination. Results: At short-term, CLB-2 elicited a mild to moderate inflammatory pulp response with dilated and congested blood vessels adjacent to pulp exposure site. With time, macrophages and giant cells engulfing globules and particulates of resinous material displaced into the pulp space were observed. This chronic inflammatory pulp response triggered by fragments of bonding agent displaced into the pulp space did not allow pulp repair interfering with the dentin bridging. On the other hand, pulps capped with CH exhibited an initial organization of elongated pulp cells underneath the coagulation necrosis. Pulp repair and complete dentin bridge formation was observed at long-term evaluation. Significance: The present study demonstrated that CH remains the pulp capping agent of choice for mechanically exposed human pulps. CLB-2 did not allow complete connective tissue repair adjacent to the pulp exposure site. Consequently, this bonding agent cannot be recommended for pulp therapy of sound human teeth. © 2001 Academy of Dental Materials. Published by Elsevier Science Ltd. All rights reserved.

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Foreword by Alicia Bárcena

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Document prepared on the occasion of the visit of President Barack Obama to Brazil, Chile and El Salvador in March 2011

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A nanostructured thin film is a thin material layer, usually supported by a (solid) substrate, which possesses subdomains with characteristic nanoscale dimensions (10 ~ 100 nm) that are differentiated by their material properties. Such films have captured vast research interest because the dimensions and the morphology of the nanostructure introduce new possibilities to manipulating chemical and physical properties not found in bulk materials. Block copolymer (BCP) self-assembly, and anodization to form nanoporous anodic aluminium oxide (AAO), are two different methods for generating nanostructures by self-organization. Using poly(styrene-block-methyl methacrylate) (PS-b-PMMA) nanopatterned thin films, it is demonstrated that these polymer nanopatterns can be used to study the influence of nanoscale features on protein-surface interactions. Moreover, a method for the directed assembly of adsorbed protein nanoarrays, based on the nanoscale juxtaposition of the BCP surface domains, is also demonstrated. Studies on protein-nanopattern interactions may inform the design of biomaterials, biosensors, and relevant cell-surface experiments that make use of nanoscale structures. In addition, PS-b-PMMA and AAO thin films are also demonstrated for use as optical waveguides at visible wavelengths. Due to the sub-wavelength nature of the nanostructures, scattering losses are minimized, and the optical response is amenable to analysis with effective medium theory (EMT). Optical waveguide measurements and EMT analysis of the films’ optical anisotropy enabled the in situ characterization of the PS-b-PMMA nanostructure, and a variety of surface processes within the nanoporous AAO involving (bio)macromolecules at high sensitivity.

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Centrioles are cylindrical, ninefold symmetrical structures with peripheral triplet microtubules strictly required to template cilia and flagella. The highly conserved protein SAS-6 constitutes the center of the cartwheel assembly that scaffolds centrioles early in their biogenesis. We determined the x-ray structure of the amino-terminal domain of SAS-6 from zebrafish, and we show that recombinant SAS-6 self-associates in vitro into assemblies that resemble cartwheel centers. Point mutations are consistent with the notion that centriole formation in vivo depends on the interactions that define the self-assemblies observed here. Thus, these interactions are probably essential to the structural organization of cartwheel centers.

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Esta tesis estudia la evolución estructural de conjuntos de neuronas como la capacidad de auto-organización desde conjuntos de neuronas separadas hasta que forman una red (clusterizada) compleja. Esta tesis contribuye con el diseño e implementación de un algoritmo no supervisado de segmentación basado en grafos con un coste computacional muy bajo. Este algoritmo proporciona de forma automática la estructura completa de la red a partir de imágenes de cultivos neuronales tomadas con microscopios de fase con una resolución muy alta. La estructura de la red es representada mediante un objeto matemático (matriz) cuyos nodos representan a las neuronas o grupos de neuronas y los enlaces son las conexiones reconstruidas entre ellos. Este algoritmo extrae también otras medidas morfológicas importantes que caracterizan a las neuronas y a las neuritas. A diferencia de otros algoritmos hasta el momento, que necesitan de fluorescencia y técnicas inmunocitoquímicas, el algoritmo propuesto permite el estudio longitudinal de forma no invasiva posibilitando el estudio durante la formación de un cultivo. Además, esta tesis, estudia de forma sistemática un grupo de variables topológicas que garantizan la posibilidad de cuantificar e investigar la progresión de las características principales durante el proceso de auto-organización del cultivo. Nuestros resultados muestran la existencia de un estado concreto correspondiente a redes con configuracin small-world y la emergencia de propiedades a micro- y meso-escala de la estructura de la red. Finalmente, identificamos los procesos físicos principales que guían las transformaciones morfológicas de los cultivos y proponemos un modelo de crecimiento de red que reproduce el comportamiento cuantitativamente de las observaciones experimentales. ABSTRACT The thesis analyzes the morphological evolution of assemblies of living neurons, as they self-organize from collections of separated cells into elaborated, clustered, networks. In particular, it contributes with the design and implementation of a graph-based unsupervised segmentation algorithm, having an associated very low computational cost. The processing automatically retrieves the whole network structure from large scale phase-contrast images taken at high resolution throughout the entire life of a cultured neuronal network. The network structure is represented by a mathematical object (a matrix) in which nodes are identified neurons or neurons clusters, and links are the reconstructed connections between them. The algorithm is also able to extract any other relevant morphological information characterizing neurons and neurites. More importantly, and at variance with other segmentation methods that require fluorescence imaging from immunocyto- chemistry techniques, our measures are non invasive and entitle us to carry out a fully longitudinal analysis during the maturation of a single culture. In turn, a systematic statistical analysis of a group of topological observables grants us the possibility of quantifying and tracking the progression of the main networks characteristics during the self-organization process of the culture. Our results point to the existence of a particular state corresponding to a small-world network configuration, in which several relevant graphs micro- and meso-scale properties emerge. Finally, we identify the main physical processes taking place during the cultures morphological transformations, and embed them into a simplified growth model that quantitatively reproduces the overall set of experimental observations.

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Esta tesis estudia la evolución estructural de conjuntos de neuronas como la capacidad de auto-organización desde conjuntos de neuronas separadas hasta que forman una red (clusterizada) compleja. Esta tesis contribuye con el diseño e implementación de un algoritmo no supervisado de segmentación basado en grafos con un coste computacional muy bajo. Este algoritmo proporciona de forma automática la estructura completa de la red a partir de imágenes de cultivos neuronales tomadas con microscopios de fase con una resolución muy alta. La estructura de la red es representada mediante un objeto matemático (matriz) cuyos nodos representan a las neuronas o grupos de neuronas y los enlaces son las conexiones reconstruidas entre ellos. Este algoritmo extrae también otras medidas morfológicas importantes que caracterizan a las neuronas y a las neuritas. A diferencia de otros algoritmos hasta el momento, que necesitan de fluorescencia y técnicas inmunocitoquímicas, el algoritmo propuesto permite el estudio longitudinal de forma no invasiva posibilitando el estudio durante la formación de un cultivo. Además, esta tesis, estudia de forma sistemática un grupo de variables topológicas que garantizan la posibilidad de cuantificar e investigar la progresión de las características principales durante el proceso de auto-organización del cultivo. Nuestros resultados muestran la existencia de un estado concreto correspondiente a redes con configuracin small-world y la emergencia de propiedades a micro- y meso-escala de la estructura de la red. Finalmente, identificamos los procesos físicos principales que guían las transformaciones morfológicas de los cultivos y proponemos un modelo de crecimiento de red que reproduce el comportamiento cuantitativamente de las observaciones experimentales. ABSTRACT The thesis analyzes the morphological evolution of assemblies of living neurons, as they self-organize from collections of separated cells into elaborated, clustered, networks. In particular, it contributes with the design and implementation of a graph-based unsupervised segmentation algorithm, having an associated very low computational cost. The processing automatically retrieves the whole network structure from large scale phase-contrast images taken at high resolution throughout the entire life of a cultured neuronal network. The network structure is represented by a mathematical object (a matrix) in which nodes are identified neurons or neurons clusters, and links are the reconstructed connections between them. The algorithm is also able to extract any other relevant morphological information characterizing neurons and neurites. More importantly, and at variance with other segmentation methods that require fluorescence imaging from immunocyto- chemistry techniques, our measures are non invasive and entitle us to carry out a fully longitudinal analysis during the maturation of a single culture. In turn, a systematic statistical analysis of a group of topological observables grants us the possibility of quantifying and tracking the progression of the main networks characteristics during the self-organization process of the culture. Our results point to the existence of a particular state corresponding to a small-world network configuration, in which several relevant graphs micro- and meso-scale properties emerge. Finally, we identify the main physical processes taking place during the cultures morphological transformations, and embed them into a simplified growth model that quantitatively reproduces the overall set of experimental observations.