Intrinsic ROS-production capacity of nanoparticles

Engineered nanomaterials (ENMs) exhibit special physicochemical properties and thus are finding their way into an increasing number of industries, enabling products with improved properties. Their increased use brings a greater likelihood of exposure to the nanoparticles (NPs) that could be released during the life cycle of nano-abled products. The field of nanotoxicology has emerged as a consequence of the development of these novel materials, and it has gained ever more attention due to the urgent need to gather information on exposure to them and to understand the potential hazards they engender. However, current studies on nanotoxicity tend to focus on pristine ENMs, and they use these toxicity results to generalize risk assessments on human exposure to NPs. ENMs released into the environment can interact with their surroundings, change characteristics and exhibit toxicity effects distinct from those of pristine ENMs. Furthermore, NPs' large surface areas provide extra-large potential interfaces, thus promoting more significant interactions between NPs and other co-existing species. In such processes, other species can attach to a NP's surface and modify its surface functionality, in addition to the toxicity in normally exhibits. One particular occupational health scenario involves NPs and low-volatile organic compounds (LVOC), a common type of pollutant existing around many potential sources of NPs. LVOC can coat a NP's surface and then dominate its toxicity. One important mechanism in nanotoxicology is the creation of reactive oxygen species (ROS) on a NP's surface; LVOC can modify the production of these ROS. In summary, nanotoxicity research should not be limited to the toxicity of pristine NPs, nor use their toxicity to evaluate the health effects of exposure to environmental NPs. Instead, the interactions which NPs have with other environmental species should also be considered and researched. The potential health effects of exposure to NPs should be derived from these real world NPs with characteristics modified by the environment and their distinct toxicity. Failure to suitably address toxicity results could lead to an inappropriate treatment of nano- release, affect the environment and public health and put a blemish on the development of sustainable nanotechnologies as a whole. The main objective of this thesis is to demonstrate a process for coating NP surfaces with LVOC using a well-controlled laboratory design and, with regard to these NPs' capacity to generate ROS, explore the consequences of changing particle toxicity. The dynamic coating system developed yielded stable and replicable coating performance, simulating an important realistic scenario. Clear changes in the size distribution of airborne NPs were observed using a scanning mobility particle sizer, were confirmed using both liquid nanotracking analyses and transmission electron microscopy (TEM) imaging, and were verified thanks to the LVOC coating. Coating thicknesses corresponded to the amount of coating material used and were controlled using the parameters of the LVOC generator. The capacity of pristine silver NPs (Ag NPs) to generate ROS was reduced when they were given a passive coating of inert paraffin: this coating blocked the reactive zones on the particle surfaces. In contrast, a coating of active reduced-anthraquinone contributed to redox reactions and generated ROS itself, despite the fact that ROS generation due to oxidation by Ag NPs themselves was quenched. Further objectives of this thesis included development of ROS methodology and the analysis of ROS case studies. Since the capacity of NPs to create ROS is an important effect in nanotoxicity, we attempted to refine and standardize the use of 2'7-dichlorodihydrofluorescin (DCFH) as a chemical tailored for the characterization of NPs' capacity for ROS generation. Previous studies had reported a wide variety of results, which were due to a number of insufficiently well controlled factors. We therefore cross-compared chemicals and concentrations, explored ways of dispersing NP samples in liquid solutions, identified sources of contradictions in the literature and investigated ways of reducing artificial results. The most robust results were obtained by sonicating an optimal sample of NPs in a DCFH-HRP solution made of 5,M DCFH and 0.5 unit/ml horseradish peroxidase (HRP). Our findings explained how the major reasons for previously conflicting results were the different experimental approaches used and the potential artifacts appearing when using high sample concentrations. Applying our advanced DCFH protocol with other physicochemical characterizations and biological analyses, we conducted several case studies, characterizing aerosols and NP samples. Exposure to aged brake wear dust engenders a risk of potential deleterious health effects in occupational scenarios. We performed microscopy and elemental analyses, as well as ROS measurements, with acellular and cellular DCFH assays. TEM images revealed samples to be heterogeneous mixtures with few particles in the nano-scale. Metallic and non-metallic elements were identified, primarily iron, carbon and oxygen. Moderate amounts of ROS were detected in the cell-free fluorescent tests; however, exposed cells were not dramatically activated. In addition to their highly aged state due to oxidation, the reason aged brake wear samples caused less oxidative stress than fresh brake wear samples may be because of their larger size and thus smaller relative reactive surface area. Other case studies involving welding fumes and differently charged NPs confirmed the performance of our DCFH assay and found ROS generation linked to varying characteristics, especially the surface functionality of the samples. Les nanomatériaux manufacturés (ENM) présentent des propriétés physico-chimiques particulières et ont donc trouvés des applications dans un nombre croissant de secteurs, permettant de réaliser des produits ayant des propriétés améliorées. Leur utilisation accrue engendre un plus grand risque pour les êtres humains d'être exposés à des nanoparticules (NP) qui sont libérées au long de leur cycle de vie. En conséquence, la nanotoxicologie a émergé et gagné de plus en plus d'attention dû à la nécessité de recueillir les renseignements nécessaires sur l'exposition et les risques associés à ces nouveaux matériaux. Cependant, les études actuelles sur la nanotoxicité ont tendance à se concentrer sur les ENM et utiliser ces résultats toxicologiques pour généraliser l'évaluation des risques sur l'exposition humaine aux NP. Les ENM libérés dans l'environnement peuvent interagir avec l'environnement, changeant leurs caractéristiques, et montrer des effets de toxicité distincts par rapport aux ENM originaux. Par ailleurs, la grande surface des NP fournit une grande interface avec l'extérieur, favorisant les interactions entre les NP et les autres espèces présentes. Dans ce processus, d'autres espèces peuvent s'attacher à la surface des NP et modifier leur fonctionnalité de surface ainsi que leur toxicité. Un scénario d'exposition professionnel particulier implique à la fois des NP et des composés organiques peu volatils (LVOC), un type commun de polluant associé à de nombreuses sources de NP. Les LVOC peuvent se déposer sur la surface des NP et donc dominer la toxicité globale de la particule. Un mécanisme important en nanotoxicologie est la création d'espèces réactives d'oxygène (ROS) sur la surface des particules, et les LVOC peuvent modifier cette production de ROS. En résumé, la recherche en nanotoxicité ne devrait pas être limitée à la toxicité des ENM originaux, ni utiliser leur toxicité pour évaluer les effets sur la santé de l'exposition aux NP de l'environnement; mais les interactions que les NP ont avec d'autres espèces environnementales doivent être envisagées et étudiées. Les effets possibles sur la santé de l'exposition aux NP devraient être dérivés de ces NP aux caractéristiques modifiées et à la toxicité distincte. L'utilisation de résultats de toxicité inappropriés peut conduire à une mauvaise prise en charge de l'exposition aux NP, de détériorer l'environnement et la santé publique et d'entraver le développement durable des industries de la nanotechnologie dans leur ensemble. L'objectif principal de cette thèse est de démontrer le processus de déposition des LVOC sur la surface des NP en utilisant un environnement de laboratoire bien contrôlé et d'explorer les conséquences du changement de toxicité des particules sur leur capacité à générer des ROS. Le système de déposition dynamique développé a abouti à des performances de revêtement stables et reproductibles, en simulant des scénarios réalistes importants. Des changements clairs dans la distribution de taille des NP en suspension ont été observés par spectrométrie de mobilité électrique des particules, confirmé à la fois par la méthode dite liquid nanotracking analysis et par microscopie électronique à transmission (MET), et a été vérifié comme provenant du revêtement par LVOC. La correspondance entre l'épaisseur de revêtement et la quantité de matériau de revêtement disponible a été démontré et a pu être contrôlé par les paramètres du générateur de LVOC. La génération de ROS dû aux NP d'argent (Ag NP) a été diminuée par un revêtement passif de paraffine inerte bloquant les zones réactives à la surface des particules. Au contraire, le revêtement actif d'anthraquinone réduit a contribué aux réactions redox et a généré des ROS, même lorsque la production de ROS par oxydation des Ag NP avec l'oxygène a été désactivé. Les objectifs associés comprennent le développement de la méthodologie et des études de cas spécifique aux ROS. Etant donné que la capacité des NP à générer des ROS contribue grandement à la nanotoxicité, nous avons tenté de définir un standard pour l'utilisation de 27- dichlorodihydrofluorescine (DCFH) adapté pour caractériser la génération de ROS par les NP. Des etudes antérieures ont rapporté une grande variété de résultats différents, ce qui était dû à un contrôle insuffisant des plusieurs facteurs. Nous avons donc comparé les produits chimiques et les concentrations utilisés, exploré les moyens de dispersion des échantillons HP en solution liquide, investigué les sources de conflits identifiées dans les littératures et étudié les moyens de réduire les résultats artificiels. De très bon résultats ont été obtenus par sonication d'une quantité optimale d'échantillons de NP en solution dans du DCFH-HRP, fait de 5 nM de DCFH et de 0,5 unité/ml de Peroxydase de raifort (HRP). Notre étude a démontré que les principales raisons causant les conflits entre les études précédemment conduites dans la littérature étaient dues aux différentes approches expérimentales et à des artefacts potentiels dus à des concentrations élevées de NP dans les échantillons. Utilisant notre protocole DCFH avancé avec d'autres caractérisations physico-chimiques et analyses biologiques, nous avons mené plusieurs études de cas, caractérisant les échantillons d'aérosols et les NP. La vielle poussière de frein en particulier présente un risque élevé d'exposition dans les scénarios professionnels, avec des effets potentiels néfastes sur la santé. Nous avons effectué des analyses d'éléments et de microscopie ainsi que la mesure de ROS avec DCFH cellulaire et acellulaire. Les résultats de MET ont révélé que les échantillons se présentent sous la forme de mélanges de particules hétérogènes, desquels une faible proportion se trouve dans l'échelle nano. Des éléments métalliques et non métalliques ont été identifiés, principalement du fer, du carbone et de l'oxygène. Une quantité modérée de ROS a été détectée dans le test fluorescent acellulaire; cependant les cellules exposées n'ont pas été très fortement activées. La raison pour laquelle les échantillons de vielle poussière de frein causent un stress oxydatif inférieur par rapport à la poussière de frein nouvelle peut-être à cause de leur plus grande taille engendrant une surface réactive proportionnellement plus petite, ainsi que leur état d'oxydation avancé diminuant la réactivité. D'autres études de cas sur les fumées de soudage et sur des NP différemment chargées ont confirmé la performance de notre test DCFH et ont trouvé que la génération de ROS est liée à certaines caractéristiques, notamment la fonctionnalité de surface des échantillons.

The plasminogen system in microdissected colonic mucosa distant from an isolated adenoma.

In the colon, the urokinase-type plasminogen activator (uPA), its receptor (uPAR), and plasminogen activator inhibitors, PAI-1 and PAI-2, are implicated in the transition from mucosa to adenoma and tumour progression. However, expression in the mucosa adjacent, or distant, to an adenoma has not yet been investigated. Three biopsies from mucosae adjacent (20 cm, ipsilateral) and distant (contralateral) to an isolated tubular adenoma were analysed in 14 patients and 8 controls. Laser microdissection isolated stromal and epithelial crypt components, and quantitative RT-PCR analyses of uPA, uPAR, PAI-1 and PAI-2 mRNA levels were performed. Among controls, no significant differences in the markers were noted. With left colon isolated tubular adenoma, uPA, uPAR, and PAI-2 mRNA levels were significantly increased in the adjacent mucosal stroma compared to epithelial crypt levels (p < 0.05). In right colon adenoma, the mRNA levels of these 3 molecular markers were significantly increased only in the adjacent mucosal stromal samples (p < 0.05). Isolated tubular adenoma in the colon increases significantly the mRNA levels of 3 proteolysis-associated molecular markers in the stromal, but not in the epithelial, components of adjacent mucosa. These results suggest the presence of regional and dynamic interactions in apparently non-involved mucosae.

INTERCELLULAR AND SYSTEM-LEVEL ASPECTS OF THE METABOLIC INTERACTIONS BETWEEN NEURONS AND GLIA

Quand on parle de l'acide lactique (aussi connu sous le nom de lactate) une des premières choses qui vient à l'esprit, c'est son implication en cas d'intense activité musculaire. Sa production pendant une activité physique prolongée est associée avec la sensation de fatigue. Il n'est donc pas étonnant que cette molécule ait été longtemps considérée comme un résidu du métabolisme, possiblement toxique et donc à éliminer. En fait, il a été découvert que le lactate joue un rôle prépondérant dans le métabolisme grâce à son fort potentiel énergétique. Le cerveau, en particulier les neurones qui le composent, est un organe très gourmand en énergie. Récemment, il a été démontré que les astrocytes, cellules du cerveau faisant partie de la famille des cellules gliales, utilisent le glucose pour produire du lactate comme source d'énergie et le distribue aux neurones de manière adaptée à leur activité. Cette découverte a renouvelé l'intérêt scientifique pour le lactate. Aujourd'hui, plusieurs études ont démontré l'implication du lactate dans d'autres fonctions de la physiologie cérébrale. Dans le cadre de notre étude, nous nous sommes intéressés au rapport entre neurones et astrocytes avec une attention particulière pour le rôle du lactate. Nous avons découvert que le lactate possède la capacité de modifier la communication entre les neurones. Nous avons aussi décrypté le mécanisme grâce auquel le lactate agit, qui est basé sur un récepteur présent à la surface des neurones. Cette étude montre une fonction jusque-là insoupçonnée du lactate qui a un fort impact sur la compréhension de la relation entre neurones et astrocytes. - Relatively to its volume, the brain uses a large amount of glucose as energy source. Furthermore, a tight link exists between the level of synaptic activity and the consumption of energy equivalents. Astrocytes have been shown to play a central role in the regulation of this so-called neurometabolic coupling. They are thought to deliver the metabolic substrate lactate to neurons in register to glutamatergic activity. The astrocytic uptake of glutamate, released in the synaptic cleft, is the trigger signal that activates an intracellular cascade of events that leads to the production and release of lactate from astrocytes. The main goal of this thesis work was to obtain detailed information on the metabolic and functional interplay between neurons and astrocytes, in particular on the influence of lactate besides its metabolic effects. To gain access to both spatial and temporal aspects of these dynamic interactions, we used optical microscopy associated with specific fluorescent indicators, as well as electrophysiology. In the first part of this thesis, we show that lactate decreases spontaneous neuronal, activity in a concentration-dependent manner and independently of its metabolism. We further identified a receptor-mediated pathway underlying this modulatory action of lactate. This finding constituted a novel mechanism for the modulation of neuronal transmission by lactate. In the second part, we have undergone a characterization of a new pharmacological tool, a high affinity glutamate transporter inhibitor. The finality of this study was to investigate the detailed pharmacological properties of the compound to optimize its use as a suppressor of glutamate signal from neuron to astrocytes. In conclusion, both studies have implications not only for the understanding of the metabolic cooperation between neurons and astrocytes, but also in the context of the glial modulation of neuronal activity. - Par rapport à son volume, le cerveau utilise une quantité massive de glucose comme source d'énergie. De plus, la consommation d'équivalents énergétiques est étroitement liée au niveau d'activité synaptique. Il a été montré que dans ce couplage neurométabolique, un rôle central est joué par les astrocytes. Ces cellules fournissent le lactate, un substrat métabolique, aux neurones de manière adaptée à leur activité glutamatergique. Plus précisément, le glutamate libéré dans la fente synaptique par les neurones, est récupéré par les astrocytes et déclenche ainsi une cascade d'événements intracellulaires qui conduit à la production et libération de lactate. Les travaux de cette thèse ont visé à étudier la relation métabolique et fonctionnelle entre neurones et astrocytes, avec une attention particulière pour des rôles que pourrait avoir le lactate au-delà de sa fonction métabolique. Pour étudier les aspects spatio-temporels de ces interactions dynamiques, nous avons utilisé à la fois la microscopie optique associée à des indicateurs fluorescents spécifiques, ainsi que l'électrophysiologie. Dans la première partie de cette thèse, nous montrons que le lactate diminue l'activité neuronale spontanée de façon concentration-dépendante et indépendamment de son métabolisme. Nous avons identifié l'implication d'un récepteur neuronal au lactate qui sous-tend ce mécanisme de régulation. La découverte de cette signalisation via le lactate constitue un mode d'interaction supplémentaire et nouveau entre neurones et astrocytes. Dans la deuxième partie, nous avons caractérisé un outil pharmacologique, un inhibiteur des transporteurs du glutamate à haute affinité. Le but de cette étude était d'obtenir un agent pharmacologique capable d'interrompre spécifiquement le signal médié par le glutamate entre neurones et astrocytes pouvant permettre de mieux comprendre leur relation. En conclusion, ces études ont une implication non seulement pour la compréhension de la coopération entre neurones et astrocytes mais aussi dans le contexte de la modulation de l'activité neuronale par les cellules gliales.

Hard-wired heterogeneity in blood stem cells revealed using a dynamic regulatory network model.

MOTIVATION: Combinatorial interactions of transcription factors with cis-regulatory elements control the dynamic progression through successive cellular states and thus underpin all metazoan development. The construction of network models of cis-regulatory elements, therefore, has the potential to generate fundamental insights into cellular fate and differentiation. Haematopoiesis has long served as a model system to study mammalian differentiation, yet modelling based on experimentally informed cis-regulatory interactions has so far been restricted to pairs of interacting factors. Here, we have generated a Boolean network model based on detailed cis-regulatory functional data connecting 11 haematopoietic stem/progenitor cell (HSPC) regulator genes. RESULTS: Despite its apparent simplicity, the model exhibits surprisingly complex behaviour that we charted using strongly connected components and shortest-path analysis in its Boolean state space. This analysis of our model predicts that HSPCs display heterogeneous expression patterns and possess many intermediate states that can act as 'stepping stones' for the HSPC to achieve a final differentiated state. Importantly, an external perturbation or 'trigger' is required to exit the stem cell state, with distinct triggers characterizing maturation into the various different lineages. By focusing on intermediate states occurring during erythrocyte differentiation, from our model we predicted a novel negative regulation of Fli1 by Gata1, which we confirmed experimentally thus validating our model. In conclusion, we demonstrate that an advanced mammalian regulatory network model based on experimentally validated cis-regulatory interactions has allowed us to make novel, experimentally testable hypotheses about transcriptional mechanisms that control differentiation of mammalian stem cells. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Dynamic simulation of regulatory networks using SQUAD.

BACKGROUND: The ambition of most molecular biologists is the understanding of the intricate network of molecular interactions that control biological systems. As scientists uncover the components and the connectivity of these networks, it becomes possible to study their dynamical behavior as a whole and discover what is the specific role of each of their components. Since the behavior of a network is by no means intuitive, it becomes necessary to use computational models to understand its behavior and to be able to make predictions about it. Unfortunately, most current computational models describe small networks due to the scarcity of kinetic data available. To overcome this problem, we previously published a methodology to convert a signaling network into a dynamical system, even in the total absence of kinetic information. In this paper we present a software implementation of such methodology. RESULTS: We developed SQUAD, a software for the dynamic simulation of signaling networks using the standardized qualitative dynamical systems approach. SQUAD converts the network into a discrete dynamical system, and it uses a binary decision diagram algorithm to identify all the steady states of the system. Then, the software creates a continuous dynamical system and localizes its steady states which are located near the steady states of the discrete system. The software permits to make simulations on the continuous system, allowing for the modification of several parameters. Importantly, SQUAD includes a framework for perturbing networks in a manner similar to what is performed in experimental laboratory protocols, for example by activating receptors or knocking out molecular components. Using this software we have been able to successfully reproduce the behavior of the regulatory network implicated in T-helper cell differentiation. CONCLUSION: The simulation of regulatory networks aims at predicting the behavior of a whole system when subject to stimuli, such as drugs, or determine the role of specific components within the network. The predictions can then be used to interpret and/or drive laboratory experiments. SQUAD provides a user-friendly graphical interface, accessible to both computational and experimental biologists for the fast qualitative simulation of large regulatory networks for which kinetic data is not necessarily available.

Dynamic responses of oxygen uptake at the onset and end of moderate and heavy exercise in trained subjects.

Inconsistencies about dynamic asymmetry between the on- and off-transient responses in VO2 are found in the literature. Therefore the purpose of this study was to examine VO2 on- and off-transients during moderate- and heavy-intensity cycling exercise in trained subjects. Ten men underwent an initial incremental test for the estimation of ventilatory threshold (VT) and, on different days, two bouts of square-wave exercise at moderate (<VT) and heavy (>VT) intensities. VO2 kinetics in exercise and recovery were better described by a single exponential model (<VT), or by a double exponential with two time delays (>VT). For moderate exercise, we found a symmetry of VO2 kinetics between the on- and off-transients (i.e., fundamental component), consistent with a system manifesting linear control dynamics. For heavy exercise, a slow component superimposed on the fundamental phase was expressed in both the exercise and recovery, with similar parameter estimates. But the on-transient values of the time constant were appreciably faster than the associated off-transient, and independent of the work rate imposed (<VT and >VT). Our results do not support a dynamically linear system model of VO2 during cycling exercise in the heavy-intensity domain.

Dynamic responses of O2 uptake at the onset and end of exercise in trained subjects.

Inconsistencies about dynamic asymmetry between the on- and off-transient responses in .VO2 are found in the literature. Therefore the purpose of this study was to examine .VO2on- and off-transients during moderate- and heavy-intensity cycling exercise in trained subjects. Ten men underwent an initial incremental test for the estimation of ventilatory threshold (VT) and, on different days, two bouts of square-wave exercise at moderate (<VT) and heavy (>VT) intensities. .VO2 kinetics in exercise and recovery were better described by a single exponential model (<VT) or by a double exponential with two time delays (>VT). For moderate exercise, we found a symmetry of .VO2 kinetics between the on- and off-transients (i.e., fundamental component), consistent with a system manifesting linear control dynamics. For heavy exercise, a slow component superimposed on the fundamental phase was expressed in both the exercise and recovery, with similar parameter estimates. But the on-transient values of the time constant were appreciably faster than the associated off-transient, and independent of the work rate imposed (<VT and >VT). Our results do not support a dynamically linear system model of .VO2 during cycling exercise in the heavy-intensity domain.

Construction and Quantitative Evaluation of a Dual Specific Promoter System for Monitoring the Expression Status of Stra8 and c-kit Genes.

Applications of genetic constructs with multiple promoters, which are fused with reporter genes and simultaneous monitoring of various events in cells, have gained special attention in recent years. Lentiviral vectors, with their distinctive characteristics, have been considered to monitor the developmental changes of cells in vitro. In this study, we constructed a novel lentiviral vector (FUM-M), containing two germ cell-specific promoters (Stra8 and c-kit), fused with ZsGreen and DsRed2 reporter genes, and evaluated its efficiency in different cells following treatments with retinoic acid and DMSO. Several cell lines (P19, GC-1 spg and HEK293T) were transduced with this vector, and functional capabilities of the promoters were verified by flow cytometry and quantitative RT-PCR. Our results indicate that FUM-M shows dynamic behavior in the presence and absence of extrinsic factors. A correlation was also observed between the function of promoters, present in the lentiviral construct and the endogenous level of the Stra8 and c-kit mRNAs in the cells. In conclusion, we recommend this strategy, which needs further optimization of the constructs, as a beneficial and practical way to screen chemical inducers involved in cellular differentiation toward germ-like cells.

Kinematics and dynamic complexity of postural transitions in frail elderly subjects.

The aim of this study was to propose a methodology allowing a detailed characterization of body sit-to-stand/stand-to-sit postural transition. Parameters characterizing the kinematics of the trunk movement during sit-to-stand (Si-St) postural transition were calculated using one initial sensor system fixed on the trunk and a data logger. Dynamic complexity of these postural transitions was estimated by fractal dimension of acceleration-angular velocity plot. We concluded that this method provides a simple and accurate tool for monitoring frail elderly and to objectively evaluate the efficacy of a rehabilitation program.

Measurement of the dynamics in ski jumping using a wearable inertial sensor-based system.

Abstract Dynamics is a central aspect of ski jumping, particularly during take-off and stable flight. Currently, measurement systems able to measure ski jumping dynamics (e.g. 3D cameras, force plates) are complex and only available in few research centres worldwide. This study proposes a method to determine dynamics using a wearable inertial sensor-based system which can be used routinely on any ski jumping hill. The system automatically calculates characteristic dynamic parameters during take-off (position and velocity of the centre of mass perpendicular to the table, force acting on the centre of mass perpendicular to the table and somersault angular velocity) and stable flight (total aerodynamic force). Furthermore, the acceleration of the ski perpendicular to the table was quantified to characterise the skis lift at take-off. The system was tested with two groups of 11 athletes with different jump distances. The force acting on the centre of mass, acceleration of the ski perpendicular to the table, somersault angular velocity and total aerodynamic force were different between groups and correlated with the jump distances. Furthermore, all dynamic parameters were within the range of prior studies based on stationary measurement systems, except for the centre of mass mean force which was slightly lower.

A 2D/3D image analysis system to track fluorescently labeled structures in rod-shaped cells: application to measure spindle pole asymmetry during mitosis.

BACKGROUND: The yeast Schizosaccharomyces pombe is frequently used as a model for studying the cell cycle. The cells are rod-shaped and divide by medial fission. The process of cell division, or cytokinesis, is controlled by a network of signaling proteins called the Septation Initiation Network (SIN); SIN proteins associate with the SPBs during nuclear division (mitosis). Some SIN proteins associate with both SPBs early in mitosis, and then display strongly asymmetric signal intensity at the SPBs in late mitosis, just before cytokinesis. This asymmetry is thought to be important for correct regulation of SIN signaling, and coordination of cytokinesis and mitosis. In order to study the dynamics of organelles or large protein complexes such as the spindle pole body (SPB), which have been labeled with a fluorescent protein tag in living cells, a number of the image analysis problems must be solved; the cell outline must be detected automatically, and the position and signal intensity associated with the structures of interest within the cell must be determined. RESULTS: We present a new 2D and 3D image analysis system that permits versatile and robust analysis of motile, fluorescently labeled structures in rod-shaped cells. We have designed an image analysis system that we have implemented as a user-friendly software package allowing the fast and robust image-analysis of large numbers of rod-shaped cells. We have developed new robust algorithms, which we combined with existing methodologies to facilitate fast and accurate analysis. Our software permits the detection and segmentation of rod-shaped cells in either static or dynamic (i.e. time lapse) multi-channel images. It enables tracking of two structures (for example SPBs) in two different image channels. For 2D or 3D static images, the locations of the structures are identified, and then intensity values are extracted together with several quantitative parameters, such as length, width, cell orientation, background fluorescence and the distance between the structures of interest. Furthermore, two kinds of kymographs of the tracked structures can be established, one representing the migration with respect to their relative position, the other representing their individual trajectories inside the cell. This software package, called "RodCellJ", allowed us to analyze a large number of S. pombe cells to understand the rules that govern SIN protein asymmetry. CONCLUSIONS: "RodCell" is freely available to the community as a package of several ImageJ plugins to simultaneously analyze the behavior of a large number of rod-shaped cells in an extensive manner. The integration of different image-processing techniques in a single package, as well as the development of novel algorithms does not only allow to speed up the analysis with respect to the usage of existing tools, but also accounts for higher accuracy. Its utility was demonstrated on both 2D and 3D static and dynamic images to study the septation initiation network of the yeast Schizosaccharomyces pombe. More generally, it can be used in any kind of biological context where fluorescent-protein labeled structures need to be analyzed in rod-shaped cells. AVAILABILITY: RodCellJ is freely available under http://bigwww.epfl.ch/algorithms.html, (after acceptance of the publication).

Dynamic regulation of notch 1 and notch 2 surface expression during T cell development and activation revealed by novel monoclonal antibodies.

It is well established that Notch signaling plays a critical role at multiple stages of T cell development and activation. However, detailed analysis of the cellular and molecular events associated with Notch signaling in T cells is hampered by the lack of reagents that can unambiguously measure cell surface Notch receptor expression. Using novel rat mAbs directed against the extracellular domains of Notch1 and Notch2, we find that Notch1 is already highly expressed on common lymphoid precursors in the bone marrow and remains at high levels during intrathymic maturation of CD4(-)CD8(-) thymocytes. Notch1 is progressively down-regulated at the CD4(+)CD8(+) and mature CD4(+) or CD8(+) thymic stages and is expressed at low levels on peripheral T cells. Immunofluorescence staining of thymus cryosections further revealed a localization of Notch1(+)CD25(-) cells adjacent to the thymus capsule. Notch1 was up-regulated on peripheral T cells following activation in vitro with anti-CD3 mAbs or infection in vivo with lymphocytic chorio-meningitis virus or Leishmania major. In contrast to Notch1, Notch2 was expressed at intermediate levels on common lymphoid precursors and CD117(+) early intrathymic subsets, but disappeared completely at subsequent stages of T cell development. However, transient up-regulation of Notch2 was also observed on peripheral T cells following anti-CD3 stimulation. Collectively our novel mAbs reveal a dynamic regulation of Notch1 and Notch2 surface expression during T cell development and activation. Furthermore they provide an important resource for future analysis of Notch receptors in various tissues including the hematopoietic system.

Do orthopaedic shoes improve local dynamic stability of gait? An observational study in patients with chronic foot and ankle injuries.

BACKGROUND: Complex foot and ankle fractures, such as calcaneum fractures or Lisfranc dislocations, are often associated with a poor outcome, especially in terms of gait capacity. Indeed, degenerative changes often lead to chronic pain and chronic functional limitations. Prescription footwear represents an important therapeutic tool during the rehabilitation process. Local Dynamic Stability (LDS) is the ability of locomotor system to maintain continuous walking by accommodating small perturbations that occur naturally during walking. Because it reflects the degree of control over the gait, LDS has been advocated as a relevant indicator for evaluating different conditions and pathologies. The aim of this study was to analyze changes in LDS induced by orthopaedic shoes in patients with persistent foot and ankle injuries. We hypothesised that footwear adaptation might help patients to improve gait control, which could lead to higher LDS: METHODS: Twenty-five middle-aged inpatients (5 females, 20 males) participated in the study. They were treated for chronic post-traumatic disabilities following ankle and/or foot fractures in a Swiss rehabilitation clinic. During their stay, included inpatients received orthopaedic shoes with custom-made orthoses (insoles). They performed two 30s walking trials with standard shoes and two 30s trials with orthopaedic shoes. A triaxial motion sensor recorded 3D accelerations at the lower back level. LDS was assessed by computing divergence exponents in the acceleration signals (maximal Lyapunov exponents). Pain was evaluated with Visual Analogue Scale (VAS). LDS and pain differences between the trials with standard shoes and the trials with orthopaedic shoes were assessed. RESULTS: Orthopaedic shoes significantly improved LDS in the three axes (medio-lateral: 10% relative change, paired t-test p < 0.001; vertical: 9%, p = 0.03; antero-posterior: 7%, p = 0.04). A significant decrease in pain level (VAS score -29%) was observed. CONCLUSIONS: Footwear adaptation led to pain relief and to improved foot & ankle proprioception. It is likely that that enhancement allows patients to better control foot placement. As a result, higher dynamic stability has been observed. LDS seems therefore a valuable index that could be used in early evaluation of footwear outcome in clinical settings.

Emergence of Cooperation on Static and Dynamic Networks

Game theory is a branch of applied mathematics used to analyze situation where two or more agents are interacting. Originally it was developed as a model for conflicts and collaborations between rational and intelligent individuals. Now it finds applications in social sciences, eco- nomics, biology (particularly evolutionary biology and ecology), engineering, political science, international relations, computer science, and philosophy. Networks are an abstract representation of interactions, dependencies or relationships. Net- works are extensively used in all the fields mentioned above and in many more. Many useful informations about a system can be discovered by analyzing the current state of a network representation of such system. In this work we will apply some of the methods of game theory to populations of agents that are interconnected. A population is in fact represented by a network of players where one can only interact with another if there is a connection between them. In the first part of this work we will show that the structure of the underlying network has a strong influence on the strategies that the players will decide to adopt to maximize their utility. We will then introduce a supplementary degree of freedom by allowing the structure of the population to be modified along the simulations. This modification allows the players to modify the structure of their environment to optimize the utility that they can obtain.