Investigation of the structure and dynamics of the centromeric epigenetic mark

Le centromère est le site chromosomal où le kinetochore se forme, afin d’assurer une ségrégation fidèles des chromosomes et ainsi maintenir la ploïdie appropriée lors de la mitose. L’identité du centromere est héritée par un mécanisme épigénétique impliquant une variante de l’histone H3 nommée centromere protein-A (CENP-A), qui remplace l’histone H3 au niveau de la chromatine du centromère. Des erreurs de propagation de la chromatine du centromère peuvent mener à des problèmes de ségrégation des chromosomes, pouvant entraîner l’aneuploïdie, un phénomène fréquemment observé dans le cancer. De plus, une expression non-régulée de CENP-A a aussi été rapportée dans différentes tumeurs humaines. Ainsi, plusieurs études ont cherchées à élucider la structure et le rôle de la chromatine contenant CENP-A dans des cellules en prolifération. Toutefois, la nature moléculaire de CENP-A en tant que marqueur épigénétique ainsi que ces dynamiques à l'extérieur du cycle cellulaire demeurent des sujets débat. Dans cette thèse, une nouvelle méthode de comptage de molécules uniques à l'aide de la microscopie à réflexion totale interne de la fluorescence (TIRF) sera décrite, puis exploitée afin d'élucider la composition moléculaire des nucléosomes contenant CENP-A, extraits de cellules en prolifération. Nous démontrons que les nucléosomes contenant CENP-A marquent les centromères humains de façon épigénétique à travers le cycle cellulaire. De plus, nos données démontrent que la forme prénucléosomale de CENP-A, en association avec la protéine chaperon HJURP existe sous forme de monomère et de dimère, ce qui reflète une étape intermédiaire de l'assemblage de nucléosomes contenant CENP-A. Ensuite, des analyses quantitatives de centromères lors de différenciation myogénique, et dans différents tissus adultes révèlent des changements globaux qui maintiennent la marque épigénétique dans une forme inactive suite à la différentiation terminale. Ces changements incluent une réduction du nombre de points focaux de CENP-A, un réarrangement des points dans le noyau, ainsi qu'une réduction importante de la quantité de CENP-A. De plus, nous démontrons que lorsqu'une dédifférenciation cellulaire est induite puis le cycle cellulaire ré-entamé, le phénotype "différencié" décrit ci-haut est récupéré, et les centromères reprennent leur phénotype "prolifératif". En somme, cet oeuvre décrit la composition structurale sous-jacente à l'identité épigénétique des centromères de cellules humaines lors du cycle cellulaire, et met en lumière le rôle de CENP-A à l'extérieur du cycle cellulaire.

Study of nuclear receptor dynamics by BRET

Les récepteurs nucléaires (RN) sont des facteurs de transcription ligand dépendants qui contrôlent une grande variété de processus biologiques de la physiologie humaine, ce qui a fait d'eux des cibles pharmacologiques privilégiées pour de nombreuses maladies. L'un de ces récepteurs, le récepteur de l’œstrogène alpha (ERα), peut activer la prolifération cellulaire dans certaines sections de l'épithélium mammaire tandis qu’un autre, le récepteur de l'acide rétinoïque alpha (RARα), peut provoquer un arrêt de la croissance et la différenciation cellulaire. La signalisation de ces deux récepteurs peut être altérée dans le cancer du sein, contribuant à la tumorigénèse mammaire. L’activité d’ERα peut être bloquée par les anti-oestrogènes (AE) pour inhiber la prolifération des cellules tumorales mammaires. Par contre, l’activation des voies de RARα avec des rétinoïdes dans un contexte clinique a rencontré peu de succès. Ceci pourrait résulter du manque de spécificité des ligands testés pour RARα et/ou de leur activité seulement dans certains sous-types de tumeurs mammaires. Puisque les récepteurs nucléaires forment des homo- et hétéro-dimères, nous avons cherché à développer de nouveaux essais pharmacologiques pour étudier l'activité de complexes dimériques spécifiques, leur dynamique d’association et la structure quaternaire des récepteurs des œstrogènes. Nous décrivons ici une nouvelle technique FRET, surnommée BRET avec renforcement de fluorescence par transferts combinés (BRETFect), qui permet de détecter la formation de complexes de récepteurs nucléaires ternaires. Le BRETFect peut suivre l'activation des hétérodimères ERα-ERβ et met en évidence un mécanisme allostérique d'activation que chaque récepteur exerce sur son partenaire de dimérisation. L'utilisation de BRETFect en combinaison avec le PCA nous a permis d'observer la formation de multimères d’ERα fonctionnels dans des cellules vivantes pour la première fois. La formation de multimères est favorisée par les AE induisant la dégradation du récepteur des oestrogènes, ce qui pourrait contribuer à leurs propriétés spécifiques. Ces essais de BRET apportent une nette amélioration par rapport aux tests de vecteurs rapporteur luciférase classique, en fournissant des informations spécifiques aux récepteurs en temps réel sans aucune interférence par d'autres processus tels que la transcription et de la traduction. L'utilisation de ces tests nous a permis de caractériser les propriétés de modulation de l’activité des récepteurs nucléaires d’une nouvelle classe de molécules hybrides qui peuvent à la fois lier ERa ou RAR et inhiber les HDACs, conduisant au développement de nouvelles molécules prometteuses bifonctionnelles telles que la molécule hybride RAR-agoniste/HDACi TTNN-HA.

From a discrete to a continuum model of cell dynamics in one dimension

Multiscale modeling is emerging as one of the key challenges in mathematical biology. However, the recent rapid increase in the number of modeling methodologies being used to describe cell populations has raised a number of interesting questions. For example, at the cellular scale, how can the appropriate discrete cell-level model be identified in a given context? Additionally, how can the many phenomenological assumptions used in the derivation of models at the continuum scale be related to individual cell behavior? In order to begin to address such questions, we consider a discrete one-dimensional cell-based model in which cells are assumed to interact via linear springs. From the discrete equations of motion, the continuous Rouse [P. E. Rouse, J. Chem. Phys. 21, 1272 (1953)] model is obtained. This formalism readily allows the definition of a cell number density for which a nonlinear "fast" diffusion equation is derived. Excellent agreement is demonstrated between the continuum and discrete models. Subsequently, via the incorporation of cell division, we demonstrate that the derived nonlinear diffusion model is robust to the inclusion of more realistic biological detail. In the limit of stiff springs, where cells can be considered to be incompressible, we show that cell velocity can be directly related to cell production. This assumption is frequently made in the literature but our derivation places limits on its validity. Finally, the model is compared with a model of a similar form recently derived for a different discrete cell-based model and it is shown how the different diffusion coefficients can be understood in terms of the underlying assumptions about cell behavior in the respective discrete models.

Comparative in situ analyses of cell wall matrix polysaccharide dynamics in developing rice and wheat grain

Cell wall polysaccharides of wheat and rice endosperm are an important source of dietary fibre. Monoclonal antibodies specific to cell wall polysaccharides were used to determine polysaccharide dynamics during the development of both wheat and rice grain. Wheat and rice grain present near synchronous developmental processes and significantly different endosperm cell wall compositions, allowing the localisation of these polysaccharides to be related to developmental changes. Arabinoxylan (AX) and mixed-linkage glucan (MLG) have analogous cellular locations in both species, with deposition of AX and MLG coinciding with the start of grain filling. A glucuronoxylan (GUX) epitope was detected in rice, but not wheat endosperm cell walls. Callose has been reported to be associated with the formation of cell wall outgrowths during endosperm cellularisation and xyloglucan is here shown to be a component of these anticlinal extensions, occurring transiently in both species. Pectic homogalacturonan (HG) was abundant in cell walls of maternal tissues of wheat and rice grain, but only detected in endosperm cell walls of rice in an unesterified HG form. A rhamnogalacturonan-I (RG-I) backbone epitope was observed to be temporally regulated in both species, detected in endosperm cell walls from 12 DAA in rice and 20 DAA in wheat grain. Detection of the LM5 galactan epitope showed a clear distinction between wheat and rice, being detected at the earliest stages of development in rice endosperm cell walls, but not detected in wheat endosperm cell walls, only in maternal tissues. In contrast, the LM6 arabinan epitope was detected in both species around 8 DAA and was transient in wheat grain, but persisted in rice until maturity.

Stochastic lattice gas model describing the dynamics of the SIRS epidemic process

We study a stochastic process describing the onset of spreading dynamics of an epidemic in a population composed of individuals of three classes: susceptible (S), infected (I), and recovered (R). The stochastic process is defined by local rules and involves the following cyclic process: S -> I -> R -> S (SIRS). The open process S -> I -> R (SIR) is studied as a particular case of the SIRS process. The epidemic process is analyzed at different levels of description: by a stochastic lattice gas model and by a birth and death process. By means of Monte Carlo simulations and dynamical mean-field approximations we show that the SIRS stochastic lattice gas model exhibit a line of critical points separating the two phases: an absorbing phase where the lattice is completely full of S individuals and an active phase where S, I and R individuals coexist, which may or may not present population cycles. The critical line, that corresponds to the onset of epidemic spreading, is shown to belong in the directed percolation universality class. By considering the birth and death process we analyze the role of noise in stabilizing the oscillations. (C) 2009 Elsevier B.V. All rights reserved.

An extinction-survival-type phase transition in the probabilistic cellular automaton p182-q200

We investigate the critical behaviour of a probabilistic mixture of cellular automata (CA) rules 182 and 200 (in Wolfram`s enumeration scheme) by mean-field analysis and Monte Carlo simulations. We found that as we switch off one CA and switch on the other by the variation of the single parameter of the model, the probabilistic CA (PCA) goes through an extinction-survival-type phase transition, and the numerical data indicate that it belongs to the directed percolation universality class of critical behaviour. The PCA displays a characteristic stationary density profile and a slow, diffusive dynamics close to the pure CA 200 point that we discuss briefly. Remarks on an interesting related stochastic lattice gas are addressed in the conclusions.

Cellular automaton model for molecular traffic jams

We consider the time evolution of an exactly solvable cellular automaton with random initial conditions both in the large-scale hydrodynamic limit and on the microscopic level. This model is a version of the totally asymmetric simple exclusion process with sublattice parallel update and thus may serve as a model for studying traffic jams in systems of self-driven particles. We study the emergence of shocks from the microscopic dynamics of the model. In particular, we introduce shock measures whose time evolution we can compute explicitly, both in the thermodynamic limit and for open boundaries where a boundary-induced phase transition driven by the motion of a shock occurs. The motion of the shock, which results from the collective dynamics of the exclusion particles, is a random walk with an internal degree of freedom that determines the jump direction. This type of hopping dynamics is reminiscent of some transport phenomena in biological systems.

Controlling dispersal dynamics of Aedes aegypti

The dengue virus is transmitted in regions previously infested with the mosquito Aedes aegypti. To assess the spreading and establishment of the dengue disease vector, a mathematical model is developed that takes into account the diffusion and advection phenomena. A discrete model based on the cellular automata approach, which is a good framework to deal with small populations, is also developed to be compared with the continuous modeling.

Germ Cell Dynamics during the Annual Reproductive Cycle of Dendropsophus minutus (Anura: Hylidae)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Maximum entropy, fractal dimension and lacunarity in quantification of cellular rejection in myocardial biopsy of patients submitted to heart transplantation

This paper presents a method for the quantification of cellular rejection in endomyocardial biopsies of patients submitted to heart transplant. The model is based on automatic multilevel thresholding, which employs histogram quantification techniques, histogram slope percentage analysis and the calculation of maximum entropy. The structures were quantified with the aid of the multi-scale fractal dimension and lacunarity for the identification of behavior patterns in myocardial cellular rejection in order to determine the most adequate treatment for each case.

Electrode poling of cellular polypropylene films with short high-voltage pulses

Recently, piezoelectric cellular polypropylene (PP) was proposed as a new type of quasi-ferroelectric. The observed hysteresis of the charge density as a function of the electric field could be explained as field-dependent charging inside the gas-filled voids. Interestingly enough, the measurable poling behavior of the macroscopic dipoles formed by charges that are trapped at the internal void surfaces is phenomenologically completely identical to the cooperative poling behavior of microscopic molecular dipoles in ferroelectric polymers. Therefore, it can be assumed that charge separation (or charge redistribution) and subsequent trapping in cellular PP is a rather fast switching process. In order to examine the poling dynamics, we developed an experimental setup for pulsed poling. High-voltage pulses with a duration of 45 μs (FWHM) were applied in direct contact to two-side metallized cellular PP films. The pulsed poling yields piezoelectricity in the cellular PP. We study and discuss the dependence of the resulting piezoelectricity on the poling field. We also characterize the charge separation during application of higher electric poling fields of up to -10 kV in direct contact to the two-side metallized films for longer times.

Dynamics of the interaction between body fluid and Ti cp: the influence of surface functionalization in the first stages of osseointegration

INTRODUCTION: Regenerative therapies using biomaterials require accurate information on interactions between the implanted material and the human body. To improve the process of bone regeneration it is necessary to obtain a better understanding of the influence of the surfaces on the early stages of osseointegration. This work aims to investigate the dynamic interaction between simulated body fluid (SBF) and titanium surfaces (Ti cp) immediately after their first contact. METHODS: Ti cp samples were passed through physicochemical treatments after immersion in acid solution, alkaline solution and solutions containing TiO2 and Ca2+, to obtain three different surfaces. These were characterized by electron microscopy and free energy estimates. The evaluation of the interaction with SBF was performed by measuring the dynamic contact angles after contacting the surfaces. RESULTS: The effects of SBF wettability were more significant on surfaces according to high energy estimates. A comparative analysis of the three types of surfaces showed that fluid spreading was greater in samples with greater polar components, indicating that the surface nature influences interactions in the early stages of osseointegration. CONCLUSION: The results indicate the influence of polar interactions in the dynamic wettability of the SBF. It is possible that these interactions can also influence cellular viability on surfaces. Based on these results, new experiments are being designed to improve the presented methodology as a tool for the evaluation of biomaterials without the need for in vivo experiments.

Osteoblast Adhesion Dynamics: A Possible Role for ROS and LMW-PTP

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Dynamics of phytoplankton associations in three reservoirs in northeastern Brazil assessed using Reynolds' theory

The aim of the present study was to evaluate the influence of seasonality on the behavior of phytoplankton associations in eutrophic reservoirs with different depths in northeastern Brazil. Five collections were carried out at each of the reservoirs at two depths (0.1 m and near the sediment) at three-month intervals in each season (dry and rainy). The phytoplankton samples were preserved in Lugol's solution and quantified under an inverted microscope for the determination of density values, which were subsequently converted to biomass values based on cellular biovolume and classified in phytoplankton associations. The following abiotic variables were analyzed: water temperature, dissolved oxygen, pH, turbidity, water transparency, total phosphorus, total dissolved phosphorus, orthophosphate and total nitrogen. The data were investigated using canonical correspondence analysis. The influence of seasonality on the dynamics of the phytoplankton community was lesser in the deeper reservoirs. Depth affected the behavior of the algal associations. Variation in light availability was a determinant of changes in the phytoplankton structure. Urosolenia and Anabaena associations were more abundant in shallow ecosystems with a larger eutrophic zone, whereas the Microcystis association was more related to deep ecosystems with adequate availability of nutrients. The distribution of Cyclotella, Geitlerinema, Planktothrix, Pseudanabaena and Cylindrospermopsis associations was different from that seen in subtropical regions and the substitution of these associations was related to a reduction in the eutrophic zone rather than the mixture zone. Published by Elsevier GmbH.

Generalized Metropolis dynamics with a generalized master equation: An approach for time-independent and time-dependent Monte Carlo simulations of generalized spin systems

The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional parameter q to the inverse temperature beta. Here, we show that a previously introduced generalized Metropolis dynamics to evolve spin models is not local and does not obey the detailed energy balance. In this dynamics, locality is only retrieved for q = 1, which corresponds to the standard Metropolis algorithm. Nonlocality implies very time-consuming computer calculations, since the energy of the whole system must be reevaluated when a single spin is flipped. To circumvent this costly calculation, we propose a generalized master equation, which gives rise to a local generalized Metropolis dynamics that obeys the detailed energy balance. To compare the different critical values obtained with other generalized dynamics, we perform Monte Carlo simulations in equilibrium for the Ising model. By using short-time nonequilibrium numerical simulations, we also calculate for this model the critical temperature and the static and dynamical critical exponents as functions of q. Even for q not equal 1, we show that suitable time-evolving power laws can be found for each initial condition. Our numerical experiments corroborate the literature results when we use nonlocal dynamics, showing that short-time parameter determination works also in this case. However, the dynamics governed by the new master equation leads to different results for critical temperatures and also the critical exponents affecting universality classes. We further propose a simple algorithm to optimize modeling the time evolution with a power law, considering in a log-log plot two successive refinements.