Acute oxygen sensing in heme oxygenase-2 null mice.

Hemeoxygenase-2 (HO-2) is an antioxidant enzyme that can modulate recombinant maxi-K(+) channels and has been proposed to be the acute O(2) sensor in the carotid body (CB). We have tested the physiological contribution of this enzyme to O(2) sensing using HO-2 null mice. HO-2 deficiency leads to a CB phenotype characterized by organ growth and alteration in the expression of stress-dependent genes, including the maxi-K(+) channel alpha-subunit. However, sensitivity to hypoxia of CB is remarkably similar in HO-2 null animals and their control littermates. Moreover, the response to hypoxia in mouse and rat CB cells was maintained after blockade of maxi-K(+) channels with iberiotoxin. Hypoxia responsiveness of the adrenal medulla (AM) (another acutely responding O(2)-sensitive organ) was also unaltered by HO-2 deficiency. Our data suggest that redox disregulation resulting from HO-2 deficiency affects maxi-K(+) channel gene expression but it does not alter the intrinsic O(2) sensitivity of CB or AM cells. Therefore, HO-2 is not a universally used acute O(2) sensor.

Negative control of quorum sensing by RpoN (sigma54) in Pseudomonas aeruginosa PAO1.

In Pseudomonas aeruginosa PAO1, the expression of several virulence factors such as elastase, rhamnolipids, and hydrogen cyanide depends on quorum-sensing regulation, which involves the lasRI and rhlRI systems controlled by N-(3-oxododecanoyl)-L-homoserine lactone and N-butyryl-L-homoserine lactone, respectively, as signal molecules. In rpoN mutants lacking the transcription factor sigma(54), the expression of the lasR and lasI genes was elevated at low cell densities, whereas expression of the rhlR and rhlI genes was markedly enhanced throughout growth by comparison with the wild type and the complemented mutant strains. As a consequence, the rpoN mutants had elevated levels of both signal molecules and overexpressed the biosynthetic genes for elastase, rhamnolipids, and hydrogen cyanide. The quorum-sensing regulatory protein QscR was not involved in the negative control exerted by RpoN. By contrast, in an rpoN mutant, the expression of the gacA global regulatory gene was significantly increased during the entire growth cycle, whereas another global regulatory gene, vfr, was downregulated at high cell densities. In conclusion, it appears that GacA levels play an important role, probably indirectly, in the RpoN-dependent modulation of the quorum-sensing machinery of P. aeruginosa.

Self-Navigation with Compressed Sensing for 2D Translational Motion Correction in Free-Breathing Coronary MRI: A Feasibility Study.

PURPOSE: Respiratory motion correction remains a challenge in coronary magnetic resonance imaging (MRI) and current techniques, such as navigator gating, suffer from sub-optimal scan efficiency and ease-of-use. To overcome these limitations, an image-based self-navigation technique is proposed that uses "sub-images" and compressed sensing (CS) to obtain translational motion correction in 2D. The method was preliminarily implemented as a 2D technique and tested for feasibility for targeted coronary imaging. METHODS: During a 2D segmented radial k-space data acquisition, heavily undersampled sub-images were reconstructed from the readouts collected during each cardiac cycle. These sub-images may then be used for respiratory self-navigation. Alternatively, a CS reconstruction may be used to create these sub-images, so as to partially compensate for the heavy undersampling. Both approaches were quantitatively assessed using simulations and in vivo studies, and the resulting self-navigation strategies were then compared to conventional navigator gating. RESULTS: Sub-images reconstructed using CS showed a lower artifact level than sub-images reconstructed without CS. As a result, the final image quality was significantly better when using CS-assisted self-navigation as opposed to the non-CS approach. Moreover, while both self-navigation techniques led to a 69% scan time reduction (as compared to navigator gating), there was no significant difference in image quality between the CS-assisted self-navigation technique and conventional navigator gating, despite the significant decrease in scan time. CONCLUSIONS: CS-assisted self-navigation using 2D translational motion correction demonstrated feasibility of producing coronary MRA data with image quality comparable to that obtained with conventional navigator gating, and does so without the use of additional acquisitions or motion modeling, while still allowing for 100% scan efficiency and an improved ease-of-use. In conclusion, compressed sensing may become a critical adjunct for 2D translational motion correction in free-breathing cardiac imaging with high spatial resolution. An expansion to modern 3D approaches is now warranted.

Comparison of topography- and aperture-dependent motion compensation algorithms for airborne SAR

This letter presents a comparison between threeFourier-based motion compensation (MoCo) algorithms forairborne synthetic aperture radar (SAR) systems. These algorithmscircumvent the limitations of conventional MoCo, namelythe assumption of a reference height and the beam-center approximation.All these approaches rely on the inherent time–frequencyrelation in SAR systems but exploit it differently, with the consequentdifferences in accuracy and computational burden. Aftera brief overview of the three approaches, the performance ofeach algorithm is analyzed with respect to azimuthal topographyaccommodation, angle accommodation, and maximum frequencyof track deviations with which the algorithm can cope. Also, ananalysis on the computational complexity is presented. Quantitativeresults are shown using real data acquired by the ExperimentalSAR system of the German Aerospace Center (DLR).

Acid sensing by the Drosophila olfactory system.

The odour of acids has a distinct quality that is perceived as sharp, pungent and often irritating. How acidity is sensed and translated into an appropriate behavioural response is poorly understood. Here we describe a functionally segregated population of olfactory sensory neurons in the fruitfly, Drosophila melanogaster, that are highly selective for acidity. These olfactory sensory neurons express IR64a, a member of the recently identified ionotropic receptor (IR) family of putative olfactory receptors. In vivo calcium imaging showed that IR64a+ neurons projecting to the DC4 glomerulus in the antennal lobe are specifically activated by acids. Flies in which the function of IR64a+ neurons or the IR64a gene is disrupted had defects in acid-evoked physiological and behavioural responses, but their responses to non-acidic odorants remained unaffected. Furthermore, artificial stimulation of IR64a+ neurons elicited avoidance responses. Taken together, these results identify cellular and molecular substrates for acid detection in the Drosophila olfactory system and support a labelled-line mode of acidity coding at the periphery.

Acid-sensing ion channels : modulation by serine-proteases and involvement in acid-induced action potential generation in hippocampal neurons

SUMMARY Acid-sensing ion channels (ASICs) are non-voltage gated sodium channels. They are activated by rapid extracellular acidification and generate an inactivating inward current. Four ASIC genes have been cloned: ASIC1, 2, 3 and 4, with variants a and b for ASIC1and AS1C2. ASICs are expressed in neurons of the central (CNS) and peripheral nervous system (PNS). In the CNS, ASICs have a role in learning, memory, as well as in neuronal death in ischemia. In the PNS, ASICs are involved in the perception of acid-induced pain, as well as in mechanoperception. In one part of my thesis project, we addressed the question of the mechanism of regulation of ASIC1 a by the serine protease trypsin at the molecular level. Trypsin modifies the function of ASIC1 a but not of ASIC1b. In order to identify the channel region responsible for this effect, we created chimeras between ASIC1 a and 1b. Subsequently, to identify the exact trypsin target(s), we mutated predicted trypsin sites in the region identified by the chimera. In the second part of a project, we investigated the role of ASICs at the cellular level, in neuronal signaling. Using the whole-cell patch clamp in hippocampal neuronal culture, we studied the potential involvement of ASICs in action potential (AP) generation. In the first part of the thesis work, we showed that trypsin modifies ASIC1a function: it shifts the pH activation and the steady-state inactivation curve towards more acidic values and accelerates the time course of the channel recovery from inactivation. We also showed that trypsin cleaves ASIC1a and that the functional effect and a channel cleavage correlate. In the inactivated state, channels cannot be modified by trypsin. Cleavage occurs in a channel region that is also important for inactivation of all ASICs; a part of this region is critical for the inhibition of ASIC1 a by the spider toxin Psalmotoxin1. In the second part of the thesis work, we showed that ASIC activity can modulate AP generation. ASIC activity by itself can induce trains of APs. In situations in which this activity by itself is not sufficient to induce APs, it can contribute to AP generation. During high neuronal activity, ASIC activity can block already existing trains of APs. In conclusion, depending on the activity of neuron in a particular moment, ASICs can differently modulate AP generation; they can induce, facilitate or inhibit APs. We also showed that trypsin changes the capability of ASICs to modulate AP generation by shifting the pH dependence to more acidic values, which adapts channel gating to pH conditions which may occur in pathological conditions such as ischemia. Our finding that trypsin modifies ASIC1 a function identifies a novel pharmacological tool, and proposes a mechanism of ASIC1a regulation that may have a physiological importance. The identification of the exact site of trypsin action gives insight to the molecular mechanisms of ASIC regulation. This work proposes a role in modulation of AP generation for ASICs in the CNS. RESUME Les canaux ASIC sont les canaux ioniques activés par l'acidification rapide extracellulaire. Activés, ils génèrent un courant entrant qui inactive en présence de stimulus acide. Quatre gènes ASIC ont été clonés, ASIC1, 2, 3 et 4, avec les variants a et b pour ASIC1 et 2. Les ASICs sont exprimés dans les neurones du système nerveux central (SNC) et périphérique (SNP). Dans le SNC, les ASIC ont un rôle dans le mémoire, apprentissage et la mort neuronale dans t'ischémie. Dans le SNP, ils ont un rôle dans la perception de la douleur et méchanosensation. Dans une partie de mon projet de thèse, nous avons étudié les mécanismes de la régulation d'ASIC1a par la sérine-protéase trypsine au niveau moléculaire. La trypsine modifie la fonction d'ASIC1a et pas ASIC1b. Nous avons créé les chimères entre ASIC1 a et 1 b, afin d'identifier la région du canal responsable pour l'effet. Pour identifier le(s) site(s) exactes de l'action de la trypsine, nous avons muté les sites potentiels de la trypsine dans la région identifiée par les chimères. Dans la deuxième partie du projet, nous avons étudié le rôle des ASICs au niveau cellulaire. En utilisant la technique du patch clamp dans les cultures des neurones de l'hippocampe, nous avons étudié l'implication des ASICs dans la génération des potentiels d'action (PA). Nous avons montré que la trypsine agit sur le canal ASIC1a ; elle décale l'activation et « steady-state » inactivation vers les valeurs plus acides, et elle raccourcit le temps du « recovery » du canal. La trypsine coupe ASIC1a sur le résidu K145 et l'effet fonctionnel et la coupure corrèlent. Nous avons identifié la région du canal responsable pour l'inactivation de tous les ASICs ; une partie de cette région est responsable pour ['inhibition d'ASIC1 a par la Psalmotoxinel . Nous avons montré que les ASICs peuvent moduler la génération des PAs. L'activité des ASICs peut induire les trains des PAs. Quand l'activité des ASICs n'est pas suffisante pour induire le PA, elle peut contribuer à sa génération. Pendant l'activité neuronale forte, l'activité des ASICs peut bloquer les trains des PAs qui existent déjà. En conclusion, dépendant de l'activité neuronale, les ASICs peuvent moduler la génération des PAs différemment ; ils peuvent induire, faciliter ou inhiber les PAs. La trypsine change la capacité des ASICs de moduler les PAs. Après l'action de la trypsine, les ASICs peuvent moduler la génération des PAs dans les conditions légèrement acides, suivies par les fluctuations du pH acide, qui peuvent exister dans l'ischémie. Le fait que la trypsine agit sur ASIC1a définit l'outil pharmacologique et propose le mécanisme de la régulation d'ASICI a qui pourrait avoir l'importance physiologique. L'identification du site de l'action de la trypsine éclaircit les mécanismes moléculaires de la régulation des ASICs. Cette étude propose un rôle des ASICs dans la modulation de la génération des PAs. Résumé pour le public large Les neurones sont les cellules de système nerveux dont la fonction est la signalisation. Comme toutes les autres cellules, les neurones ont une membrane qui sépare l'intérieur du milieu extérieur. Cette membrane est imperméable pour des particules chargées (ions). Dans cette membrane existent les protéines spécifiques, « canaux », qui permettent le transport des ions d'un côté de la membrane à l'autre, comme réponse aux stimuli différents. Ce transport des ions à travers la membrane génère un courant, qu'on peut mesurer. Ce courant est la base de la communication entre les neurones, ou, ce qu'on appelle la signalisation neuronale. Quand ce courant est suffisamment grand, il permet la génération du potentiel d'action, qui est le message principal de communication neuronale. Les canaux ASIC (acid-sensing ion channel), que nous étudions dans le laboratoire, sont activés par les acides. Les acides sont relâchés dans beaucoup de situations dans le système nerveux. Les ASIC ont été découverts récemment (en 1996), et nous ne connaissons pas encore très bien toutes les fonctions de ces canaux. Nous savons qu'ils ont un rôle dans le mémoire, apprentissage, la sensation de la douleur et l'infarctus cérébral. Dans la première partie de ce projet de thèse, nous avons voulu mieux comprendre comment fonctionnent ces canaux. Pour faire ça, nous avons étudié la régulation des ASICs par une protéine, trypsine, qui coupe le canal ASIC. Nous avons étudié ou exactement la trypsine coupe le canal et quels effets ça produit sur la fonction du canal. Dans la deuxième partie du projet de thèse, nous avons voulu mieux connaître comment le canal fonctionne au niveau de la cellule, comment il interagit avec les autres canaux et si il a un rôle dans la génération des potentiels d'action. Nous avons pu montrer que la trypsine change la fonction du canal, ce qui lui permet de fonctionner différemment. Nous avons aussi déterminé ou exactement ta trypsine coupe le canal. Au niveau de la cellule, nous avons montré que les ASIC peuvent moduler la génération des potentiels d'action, étant, dépendant de l'activité du neurone, soit activateurs, soit inhibiteurs. La trypsine est une molécule qui peut être libérée dans le système nerveux pendant certaines conditions, comme l'infarctus cérébral. A cause de ça, les connaissances que la trypsine agit sur le anal ASIC pourraient être important physiologiquement. La connaissance de l'endroit exacte ou la trypsine coupe le canal nous aide à mieux comprendre la relation structure-fonction du canal. La modulation de la génération des potentiels d'actions par les ASIC indique que ces canaux peuvent avoir un rôle important dans la signalisation neuronale.

Multi-modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 data fusion contest

The 2009-2010 Data Fusion Contest organized by the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society was focused on the detection of flooded areas using multi-temporal and multi-modal images. Both high spatial resolution optical and synthetic aperture radar data were provided. The goal was not only to identify the best algorithms (in terms of accuracy), but also to investigate the further improvement derived from decision fusion. This paper presents the four awarded algorithms and the conclusions of the contest, investigating both supervised and unsupervised methods and the use of multi-modal data for flood detection. Interestingly, a simple unsupervised change detection method provided similar accuracy as supervised approaches, and a digital elevation model-based predictive method yielded a comparable projected change detection map without using post-event data.

Kernel-based methods for change detection in remote sensing images

Nowadays, the joint exploitation of images acquired daily by remote sensing instruments and of images available from archives allows a detailed monitoring of the transitions occurring at the surface of the Earth. These modifications of the land cover generate spectral discrepancies that can be detected via the analysis of remote sensing images. Independently from the origin of the images and of type of surface change, a correct processing of such data implies the adoption of flexible, robust and possibly nonlinear method, to correctly account for the complex statistical relationships characterizing the pixels of the images. This Thesis deals with the development and the application of advanced statistical methods for multi-temporal optical remote sensing image processing tasks. Three different families of machine learning models have been explored and fundamental solutions for change detection problems are provided. In the first part, change detection with user supervision has been considered. In a first application, a nonlinear classifier has been applied with the intent of precisely delineating flooded regions from a pair of images. In a second case study, the spatial context of each pixel has been injected into another nonlinear classifier to obtain a precise mapping of new urban structures. In both cases, the user provides the classifier with examples of what he believes has changed or not. In the second part, a completely automatic and unsupervised method for precise binary detection of changes has been proposed. The technique allows a very accurate mapping without any user intervention, resulting particularly useful when readiness and reaction times of the system are a crucial constraint. In the third, the problem of statistical distributions shifting between acquisitions is studied. Two approaches to transform the couple of bi-temporal images and reduce their differences unrelated to changes in land cover are studied. The methods align the distributions of the images, so that the pixel-wise comparison could be carried out with higher accuracy. Furthermore, the second method can deal with images from different sensors, no matter the dimensionality of the data nor the spectral information content. This opens the doors to possible solutions for a crucial problem in the field: detecting changes when the images have been acquired by two different sensors.

Nanomotors: new strategies of (bio)sensing based on motion

Nanomotors are nanoscale devices capable of converting energy into movement and forces. Among them, self-propelled nanomotors offer considerable promise for developing new and novel bioanalytical and biosensing strategies based on the direct isolation of target biomolecules or changes in their movement in the presence of target analytes. The mainachievements of this project consists on the development of receptor-functionalized nanomotors that offer direct and rapid target detection, isolation and transport from raw biological samples without preparatory and washing steps. For example, microtube engines functionalized with aptamer, antibody, lectin and enzymes receptors were used for the direct isolation of analytes of biomedical interest, including proteins and whole cells, among others. A target protein was also isolated from a complex sample by using an antigen-functionalized microengine navigating into the reservoirs of a lab-on-a-chip device. The new nanomotorbased target biomarkers detection strategy not only offers highly sensitive, rapid, simple and low cost alternative for the isolation and transport of target molecules, but also represents a new dimension of analytical information based on motion. The recognition events can be easily visualized by optical microscope (without any sophisticated analytical instrument) to reveal the target presence and concentration. The use of artificial nanomachines has shown not only to be useful for (bio)recognition and (bio)transport but also for detection of environmental contamination and remediation. In this context, micromotors modified with superhydrophobic layer demonstrated that effectively interacted, captured, transported and removed oil droplets from oil contaminated samples. Finally, a unique micromotor-based strategy for water-quality testing, that mimics live-fish water-quality testing, based on changes in the propulsion behavior of artificial biocatalytic microswimmers in the presence of aquatic pollutants was also developed. The attractive features of the new micromachine-based target isolation and signal transduction protocols developed in this project offer numerous potential applications in biomedical diagnostics, environmental monitoring, and forensic analysis.

Understanding the two-component sensing System of virulent bacteria

Report for the scientific sojourn carried out at the l’ Institute for Computational Molecular Science of the Temple University, United States, from 2010 to 2012. Two-component systems (TCS) are used by pathogenic bacteria to sense the environment within a host and activate mechanisms related to virulence and antimicrobial resistance. A prototypical example is the PhoQ/PhoP system, which is the major regulator of virulence in Salmonella. Hence, PhoQ is an attractive target for the design of new antibiotics against foodborne diseases. Inhibition of the PhoQ-mediated bacterial virulence does not result in growth inhibition, presenting less selective pressure for the generation of antibiotic resistance. Moreover, PhoQ is a histidine kinase (HK) and it is absent in animals. Nevertheless, the design of satisfactory HK inhibitors has been proven to be a challenge. To compete with the intracellular ATP concentrations, the affinity of a HK inhibidor must be in the micromolar-nanomolar range, whereas the current lead compounds have at best millimolar affinities. Moreover, the drug selectivity depends on the conformation of a highly variable loop, referred to as the “ATP-lid, which is difficult to study by X-Ray crystallography due to its flexibility. I have investigated the binding of different HK inhibitors to PhoQ. In particular, all-atom molecular dynamics simulations have been combined with enhanced sampling techniques in order to provide structural and dynamic information of the conformation of the ATP-lid. Transient interactions between these drugs and the ATP-lid have been identified and the free energy of the different binding modes has been estimated. The results obtained pinpoint the importance of protein flexibility in the HK-inhibitor binding, and constitute a first step in developing more potent and selective drugs. The computational resources of the hosting institution as well as the experience of the members of the group in drug binding and free energy methods have been crucial to carry out this work.

Sodium sensing in neurons with a dendrimer-based nanoprobe.

Ion imaging is a powerful methodology to assess fundamental biological processes in live cells. The limited efficiency of some ion-sensing probes and their fast leakage from cells are important restrictions to this approach. In this study, we present a novel strategy based on the use of dendrimer nanoparticles to obtain better intracellular retention of fluorescent probes and perform prolonged fluorescence imaging of intracellular ion dynamics. A new sodium-sensitive nanoprobe was generated by encapsulating a sodium dye in a PAMAM dendrimer nanocontainer. This nanoprobe is very stable and has high sodium sensitivity and selectivity. When loaded in neurons in live brain tissue, it homogenously fills the entire cell volume, including small processes, and stays for long durations, with no detectable alterations of cell functional properties. We demonstrate the suitability of this new sodium nanosensor for monitoring physiological sodium responses such as those occurring during neuronal activity.

Induction of innate immune responses through Nalp3 inflammasome sensing of asbestos and silica

The inhalation of airborne pollutants such as asbestos or silica is linked to inflammation of the lung, fibrosis and lung cancer. How the presence of pathogenic dust is recognised, and how chronic inflammatory diseases are triggered are poorly understood. We will se show that asbestos and silica are sensed by the Nalp3 inflammasome, whose subsequent activation leads to IL-1b secretion. Inflammasome activation is triggered by reactive oxygen species, which are generated by a NADPH oxidase upon particle phagocytosis. In a model of asbestos inhalation, Nalp3_/_ mice showed diminished recruitment of inflammatory cells to the lungs, paralleled by lower cytokine production. Our findings implicate the Nalp3 inflammasome in particulate matter-related pulmonary diseases and support its role as a major proinflammatory ''danger" receptor.

Selective regulation of acid-sensing ion channel 1 by serine proteases.

Acid-sensing ion channels (ASICs) are neuronal Na(+) channels that belong to the epithelial Na(+) channel/degenerin family. ASICs are transiently activated by a rapid drop in extracellular pH. Conditions of low extracellular pH, such as ischemia and inflammation in which ASICs are thought to be active, are accompanied by increased protease activity. We show here that serine proteases modulate the function of ASIC1a and ASIC1b but not of ASIC2a and ASIC3. We show that protease exposure shifts the pH dependence of ASIC1a activation and steady-state inactivation to more acidic pH. As a consequence, protease exposure leads to a decrease in current response if ASIC1a is activated by a pH drop from pH 7.4. If, however, acidification occurs from a basal pH of approximately 7, protease-exposed ASIC1a shows higher activity than untreated ASIC1a. We provide evidence that this bi-directional regulation of ASIC1a function also occurs in neurons. Thus, we have identified a mechanism that modulates ASIC function and may allow ASIC1a to adapt its gating to situations of persistent extracellular acidification.