Design of nanoparticle systems with antimicrobial properties

Infektiöse Komplikationen im Zusammenhang mit Implantaten stellen einen Großteil aller Krankenhausinfektionen dar und treiben die Gesundheitskosten signifikant in die Höhe. Die bakterielle Kolonisation von Implantatoberflächen zieht schwerwiegende medizinische Konsequenzen nach sich, die unter Umständen tödlich verlaufen können. Trotz umfassender Forschungsaktivitäten auf dem Gebiet der antibakteriellen Oberflächenbeschichtungen ist das Spektrum an wirksamen Substanzen aufgrund der Anpassungsfähigkeit und Ausbildung von Resistenzen verschiedener Mikroorganismen eingeschränkt. Die Erforschung und Entwicklung neuer antibakterieller Materialien ist daher von fundamentaler Bedeutung.rnIn der vorliegenden Arbeit wurden auf der Basis von Polymernanopartikeln und anorganischen/polymeren Verbundmaterialien verschiedene Systeme als Alternative zu bestehenden antibakteriellen Oberflächenbeschichtungen entwickelt. Polymerpartikel finden Anwendung in vielen verschiedenen Bereichen, da sowohl Größe als auch Zusammensetzung und Morphologie vielseitig gestaltet werden können. Mit Hilfe der Miniemulsionstechnik lassen sich u. A. funktionelle Polymernanopartikel im Größenbereich von 50-500 nm herstellen. Diese wurde im ersten System angewendet, um PEGylierte Poly(styrol)nanopartikel zu synthetisieren, deren anti-adhesives Potential in Bezug auf P. aeruginosa evaluiert wurde. Im zweiten System wurden sog. kontakt-aktive kolloide Dispersionen entwickelt, welche bakteriostatische Eigenschaften gegenüber S. aureus zeigten. In Analogie zum ersten System, wurden Poly(styrol)nanopartikel in Copolymerisation in Miniemulsion mit quaternären Ammoniumgruppen funktionalisiert. Als Costabilisator diente das zuvor quaternisierte, oberflächenaktive Monomer (2-Dimethylamino)ethylmethacrylat (qDMAEMA). Die Optimierung der antibakteriellen Eigenschaften wurde im nachfolgenden System realisiert. Hierbei wurde das oberflächenaktive Monomer qDMAEMA zu einem oberflächenaktiven Polyelektrolyt polymerisiert, welcher unter Anwendung von kombinierter Miniemulsions- und Lösemittelverdampfungstechnik, in entsprechende Polyelektrolytnanopartikel umgesetzt wurde. Infolge seiner oberflächenaktiven Eigenschaften, ließen sich aus dem Polyelektrolyt stabile Partikeldispersionen ohne Zusatz weiterer Tenside ausbilden. Die selektive Toxizität der Polyelektrolytnanopartikel gegenüber S. aureus im Unterschied zu Körperzellen, untermauert ihr vielversprechendes Potential als bakterizides, kontakt-aktives Reagenz. rnAufgrund ihrer antibakteriellen Eigenschaften wurden ZnO Nanopartikel ausgewählt und in verschiedene Freisetzungssysteme integriert. Hochdefinierte eckige ZnO Nanokristalle mit einem mittleren Durchmesser von 23 nm wurden durch thermische Zersetzung des Precursormaterials synthetisiert. Durch die nachfolgende Einkapselung in Poly(L-laktid) Latexpartikel wurden neue, antibakterielle und UV-responsive Hybridnanopartikel entwickelt. Durch die photokatalytische Aktivierung von ZnO mittels UV-Strahlung wurde der Abbau der ZnO/PLLA Hybridnanopartikel signifikant von mehreren Monaten auf mehrere Wochen verkürzt. Die Photoaktivierung von ZnO eröffnet somit die Möglichkeit einer gesteuerten Freisetzung von ZnO. Im nachfolgenden System wurden dünne Verbundfilme aus Poly(N-isopropylacrylamid)-Hydrogelschichten mit eingebetteten ZnO Nanopartikeln hergestellt, die als bakterizide Oberflächenbeschichtungen gegen E. coli zum Einsatz kamen. Mit minimalem Gehalt an ZnO zeigten die Filme eine vergleichbare antibakterielle Aktivität zu Silber-basierten Beschichtungen. Hierbei lässt sich der Gehalt an ZnO relativ einfach über die Filmdicke einstellen. Weiterhin erwiesen sich die Filme mit bakteriziden Konzentrationen an ZnO als nichtzytotoxisch gegenüber Körperzellen. Zusammenfassend wurden mehrere vielversprechende antibakterielle Prototypen entwickelt, die als potentielle Implantatbeschichtungen auf die jeweilige Anwendung weiterhin zugeschnitten und optimiert werden können.

Bindeprotein-abhängige DctS-Sensorkinasen aus Bacillus subtilis und Geobacillus kaustophilus

Das Enterobakterium Escherichia coli sowie das Bodenbakterium Bacillus subtilis können C4-Dicarbonsäuren als aerobe Kohlenstoffquelle zur Energiekonservierung nutzen. Die Regulation des C4-Dicarboxylatstoffwechsels erfolgt in E. coli und B. subtilis durch das Zweikomponentensystem DcuSREc bzw. DctSRBs, bestehend aus einer Sensorkinase und einem Responseregulator. Diese kontrollieren die Expression des C4-Dicarboxylat-Transporters DctA. Der Sensor DcuSEc benötigt für seine Funktion im aeroben Stoffwechsel den Transporter DctA als Cosensor. Für das DctSRBs-System gibt es Hinweise aus genetischen Untersuchungen, dass DctSBs das Bindeprotein DctBBs und möglicherweise auch DctABs als Cosensoren für seine Funktion benötigt. In dieser Arbeit sollte ein direkter Nachweis geführt werden, ob DctBBs und DctABs gemeinsam oder nur jeweils eine der Komponenten als Cosensoren für DctSBs fungieren. Sowohl für DctBBs als auch für DctABs wurde eine direkte Protein-Protein-Interaktion mit DctSBs durch zwei in vivo Interaktionsmethoden nachgewiesen. Beide Methoden beruhen auf der Co-Reinigung der Interaktionspartner mittels Affinitätschromatographie und werden je nach Affinitätssäule als mSPINE oder mHPINE (Membrane Strep/His-Protein INteraction Experiment) bezeichnet. Die Interaktion von DctSBs mit DctBBs wurde zusätzlich über ein bakterielles Two-Hybrid System nachgewiesen. Nach Coexpression mit DctSBs interagieren DctABs und DctBBs in mSPINE-Tests gleichzeitig mit der Sensorkinase. DctSBs bildet somit eine sensorische DctS/DctA/DctB-Einheit in B. subtilis und das Bindeprotein DctBBs agiert nur als Cosensor, nicht aber als Transport-Bindeprotein. Eine direkte Interaktion zwischen dem Transporter DctABs und dem Bindeprotein DctBBs besteht nicht. Transportmessungen belegen, dass der DctA-vermittelte Transport von [14C]-Succinat unabhängig ist von DctBBs. Außerdem wurde untersucht, ob Zweikomponentensysteme aus anderen Bakteriengruppen nach einem ähnlichen Schema wie DcuSREc bzw. DctSRBs aufgebaut sind. Das thermophile Bakterium Geobacillus kaustophilus verfügt über ein DctSR-System, welches auf genetischer Ebene mit einem Transporter des DctA-Typs und einem DctB-Bindeprotein geclustert vorliegt. Die Sensorkinase DctSGk wurde in E. coli heterolog exprimiert und gereinigt. Diese zeigt in einer E. coli DcuS-Insertionsmutanten Komplementation der DcuS-Funktion und besitzt dabei Spezifität für die C4-Dicarbonsäuren Malat, Fumarat, L-Tartrat und Succinat sowie für die C6-Tricarbonsäure Citrat. In Liposomen rekonstituiertes DctSGk zeigt Autokinase-Aktivität nach Zugabe von [γ-33P]-ATP. Der KD-Wert für [γ-33P]-ATP der Kinasedomäne von DctSGk liegt bei 43 μM, die Affinität für ATP ist damit etwa 10-fach höher als in DcuSEc.

Signalerkennung und Signaltransduktion im DctA,DcuS-Sensor-Regulatorkomplex von Escherichia coli.

E. coli ist in der Lage unter aeroben sowie anaeroben Bedingungen C4-Dicarbonsäuren zur Energiekonservierung zu nutzen. Das DcuS/DcuR-Zweikomponentensystem detektiert diese und reguliert die Gene für den C4-Dicarboxylat-Transport und Metabolismus. Dabei hängt die Sensitivität der Sensorkinase DcuS für C4-Dicarbonsäuren von der Anwesenheit des aeroben Symporters DctA oder des anaeroben Antiporters DcuB ab. Diese bifunktionalen Transporter bilden mit DcuS über direkte Protein-Protein-Wechselwirkungen Sensoreinheiten. In dieser Arbeit wurden die Funktionen von DctA und DcuS im DctA/DcuS-Sensorkomplex analysiert. Mit DctA(S380D) wurde eine Variante des Transporters identifiziert, in der die regulatorische Eigenschaft von der katalytischen Funktion entkoppelt ist. Stämme von E. coli, die den DctA(S380D)/DcuS-Sensorkomplex enthielten, waren in der Lage C4-Dicarbonsäuren wahrzunehmen, obwohl die Transportfunktion von DctA inaktiviert war. Zudem wurden Unterschiede in den Substratspektren von DctA und DcuS festgestellt. Citrat, ein guter Effektor des DctA/DcuS-Sensorkomplexes, wurde durch DctA nicht gebunden oder transportiert. Anhand von Titrationsexperimenten mit variierenden DctA-Mengen wurde außerdem nachgewiesen, dass die Sensitivität von DcuS für seine Effektoren von der DctA-Konzentration abhängig ist. Es konnte gezeigt werden, dass DctA im DctA/DcuS-Sensorkomplex nicht an der Erkennung von C4-Dicarbonsäuren beteiligt ist. DcuS stellt die Signaleingangsstelle des Komplexes dar, während DctA durch seine Anwesenheit die Sensorkinase in eine funktionsbereite oder sensitive Form überführt, die auf Effektoren reagieren kann. Darüber hinaus wurde die Rolle der Transmembranhelices TM1 und TM2 von DcuS für die Funktion und Dimerisierung der Sensorkinase untersucht. Durch Sequenzanalysen wurden „SmallxxxSmall“-Motive, deren Relevanz als Dimerisierungsschnittstellen bereits in Transmembranhelices anderer Proteine nachgewiesen wurde, in TM1 sowie TM2 identifiziert. Die Homodimerisierung beider Transmembrandomänen wurde im GALLEX Two-Hybrid System nachgewiesen, wobei die TM2-TM2-Interaktion stärker war. Die Substitution G190A/G194A im SxxxGxxxG-Tandemmotiv von TM2 rief zudem einen deutlichen Funktionsverlust der Sensorkinase hervor. Dieser Aktivitätsverlust korrelierte mit Störungen der Homodimerisierung von TM2(G190A/G194A) sowie DcuS(G190A/G194A) bei bakteriellen Two-Hybrid Messungen im GALLEX- bzw. BACTH-System. Demzufolge agiert Transmembranhelix 2 mit seinem SxxxGxxxG-Sequenzmotiv als wesentliche Homodimerisierungsstelle in DcuS. Die Dimerisierung von DcuS ist essentiell für die Funktion der Histidinkinase. Zusätzlich wurde bei fluoreszenzmikroskopischen Studien durch Koexpression von DcuS bzw. DctA die zelluläre Kolokalisierung von DctA und DcuR mit DcuS sowie DauA mit DctA nachgewiesen. Die DctA/DcuS-Sensoreinheit kann demnach zum DauA/DctA/DcuS/DcuR-Komplex erweitert werden.

A study of air-sea interaction processes on water mass formation and upwelling in the Mediterranean sea

Air-sea interactions are a key process in the forcing of the ocean circulation and the climate. Water Mass Formation is a phenomenon related to extreme air-sea exchanges and heavy heat losses by the water column, being capable to transfer water properties from the surface to great depth and constituting a fundamental component of the thermohaline circulation of the ocean. Wind-driven Coastal Upwelling, on the other hand, is capable to induce intense heat gain in the water column, making this phenomenon important for climate change; further, it can have a noticeable influence on many biological pelagic ecosystems mechanisms. To study some of the fundamental characteristics of Water Mass Formation and Coastal Upwelling phenomena in the Mediterranean Sea, physical reanalysis obtained from the Mediterranean Forecating System model have been used for the period ranging from 1987 to 2012. The first chapter of this dissertation gives the basic description of the Mediterranean Sea circulation, the MFS model implementation, and the air-sea interaction physics. In the second chapter, the problem of Water Mass Formation in the Mediterranean Sea is approached, also performing ad-hoc numerical simulations to study heat balance components. The third chapter considers the study of Mediterranean Coastal Upwelling in some particular areas (Sicily, Gulf of Lion, Aegean Sea) of the Mediterranean Basin, together with the introduction of a new Upwelling Index to characterize and predict upwelling features using only surface estimates of air-sea fluxes. Our conclusions are that latent heat flux is the driving air-sea heat balance component in the Water Mass Formation phenomenon, while sensible heat exchanges are fundamental in Coastal Upwelling process. It is shown that our upwelling index is capable to reproduce the vertical velocity patterns in Coastal Upwelling areas. Nondimensional Marshall numbers evaluations for the open-ocean convection process in the Gulf of Lion show that it is a fully turbulent, three-dimensional phenomenon.

Biogas and bio-hydrogen: production and uses. A review

The first part of this essay aims at investigating the already available and promising technologies for the biogas and bio-hydrogen production from anaerobic digestion of different organic substrates. One strives to show all the peculiarities of this complicate process, such as continuity, number of stages, moisture, biomass preservation and rate of feeding. The main outcome of this part is the awareness of the huge amount of reactor configurations, each of which suitable for a few types of substrate and circumstance. Among the most remarkable results, one may consider first of all the wet continuous stirred tank reactors (CSTR), right to face the high waste production rate in urbanised and industrialised areas. Then, there is the up-flow anaerobic sludge blanket reactor (UASB), aimed at the biomass preservation in case of highly heterogeneous feedstock, which can also be treated in a wise co-digestion scheme. On the other hand, smaller and scattered rural realities can be served by either wet low-rate digesters for homogeneous agricultural by-products (e.g. fixed-dome) or the cheap dry batch reactors for lignocellulose waste and energy crops (e.g. hybrid batch-UASB). The biological and technical aspects raised during the first chapters are later supported with bibliographic research on the important and multifarious large-scale applications the products of the anaerobic digestion may have. After the upgrading techniques, particular care was devoted to their importance as biofuels, highlighting a further and more flexible solution consisting in the reforming to syngas. Then, one shows the electricity generation and the associated heat conversion, stressing on the high potential of fuel cells (FC) as electricity converters. Last but not least, both the use as vehicle fuel and the injection into the gas pipes are considered as promising applications. The consideration of the still important issues of the bio-hydrogen management (e.g. storage and delivery) may lead to the conclusion that it would be far more challenging to implement than bio-methane, which can potentially “inherit” the assets of the similar fossil natural gas. Thanks to the gathered knowledge, one devotes a chapter to the energetic and financial study of a hybrid power system supplied by biogas and made of different pieces of equipment (natural gas thermocatalitic unit, molten carbonate fuel cell and combined-cycle gas turbine structure). A parallel analysis on a bio-methane-fed CCGT system is carried out in order to compare the two solutions. Both studies show that the apparent inconvenience of the hybrid system actually emphasises the importance of extending the computations to a broader reality, i.e. the upstream processes for the biofuel production and the environmental/social drawbacks due to fossil-derived emissions. Thanks to this “boundary widening”, one can realise the hidden benefits of the hybrid over the CCGT system.

The stress response protein Gls24 is induced by copper and interacts with the CopZ copper chaperone of Enterococcus hirae

Intracellular copper routing in Enterococcus hirae is accomplished by the CopZ copper chaperone. Under copper stress, CopZ donates Cu(+) to the CopY repressor, thereby releasing its bound zinc and abolishing repressor-DNA interaction. This in turn induces the expression of the cop operon, which encodes CopY and CopZ, in addition to two copper ATPases, CopA and CopB. To gain further insight into the function of CopZ, the yeast two-hybrid system was used to screen for proteins interacting with the copper chaperone. This led to the identification of Gls24, a member of a family of stress response proteins. Gls24 is part of an operon containing eight genes. The operon was induced by a range of stress conditions, but most notably by copper. Gls24 was overexpressed and purified, and was shown by surface plasmon resonance analysis to also interact with CopZ in vitro. Circular dichroism measurements revealed that Gls24 is partially unstructured. The current findings establish a novel link between Gls24 and copper homeostasis.

Interaction of the receptor FGFRL1 with the negative regulator Spred1

FGFRL1 is a member of the fibroblast growth factor receptor family. It plays an essential role during branching morphogenesis of the metanephric kidneys, as mice with a targeted deletion of the Fgfrl1 gene show severe kidney dysplasia. Here we used the yeast two-hybrid system to demonstrate that FGFRL1 binds with its C-terminal, histidine-rich domain to Spred1 and to other proteins of the Sprouty/Spred family. Members of this family are known to act as negative regulators of the Ras/Raf/Erk signaling pathway. Truncation experiments further showed that FGFRL1 interacts with the SPR domain of Spred1, a domain that is shared by all members of the Sprouty/Spred family. The interaction could be verified by coprecipitation of the interaction partners from solution and by codistribution at the cell membrane of COS1 and HEK293 cells. Interestingly, Spred1 increased the retention time of FGFRL1 at the plasma membrane where the receptor might interact with ligands. FGFRL1 and members of the Sprouty/Spred family belong to the FGF synexpression group, which also includes FGF3, FGF8, Sef and Isthmin. It is conceivable that FGFRL1, Sef and some Sprouty/Spred proteins work in concert to control growth factor signaling during branching morphogenesis of the kidneys and other organs.

Variations of the Atlantic meridional overturning circulation in control and transient simulations of the last millennium

The variability of the Atlantic meridional overturing circulation (AMOC) strength is investigated in control experiments and in transient simulations of up to the last millennium using the low-resolution Community Climate System Model version 3. In the transient simulations the AMOC exhibits enhanced low-frequency variability that is mainly caused by infrequent transitions between two semi-stable circulation states which amount to a 10 percent change of the maximum overturning. One transition is also found in a control experiment, but the time-varying external forcing significantly increases the probability of the occurrence of such events though not having a direct, linear impact on the AMOC. The transition from a high to a low AMOC state starts with a reduction of the convection in the Labrador and Irminger Seas and goes along with a changed barotropic circulation of both gyres in the North Atlantic and a gradual strengthening of the convection in the Greenland-Iceland-Norwegian (GIN) Seas. In contrast, the transition from a weak to a strong overturning is induced by decreased mixing in the GIN Seas. As a consequence of the transition, regional sea surface temperature (SST) anomalies are found in the midlatitude North Atlantic and in the convection regions with an amplitude of up to 3 K. The atmospheric response to the SST forcing associated with the transition indicates a significant impact on the Scandinavian surface air temperature (SAT) in the order of 1 K. Thus, the changes of the ocean circulation make a major contribution to the Scandinavian SAT variability in the last millennium.

Control algorithms for large scale adaptive optics

In this dissertation, the problem of creating effective large scale Adaptive Optics (AO) systems control algorithms for the new generation of giant optical telescopes is addressed. The effectiveness of AO control algorithms is evaluated in several respects, such as computational complexity, compensation error rejection and robustness, i.e. reasonable insensitivity to the system imperfections. The results of this research are summarized as follows: 1. Robustness study of Sparse Minimum Variance Pseudo Open Loop Controller (POLC) for multi-conjugate adaptive optics (MCAO). The AO system model that accounts for various system errors has been developed and applied to check the stability and performance of the POLC algorithm, which is one of the most promising approaches for the future AO systems control. It has been shown through numerous simulations that, despite the initial assumption that the exact system knowledge is necessary for the POLC algorithm to work, it is highly robust against various system errors. 2. Predictive Kalman Filter (KF) and Minimum Variance (MV) control algorithms for MCAO. The limiting performance of the non-dynamic Minimum Variance and dynamic KF-based phase estimation algorithms for MCAO has been evaluated by doing Monte-Carlo simulations. The validity of simple near-Markov autoregressive phase dynamics model has been tested and its adequate ability to predict the turbulence phase has been demonstrated both for single- and multiconjugate AO. It has also been shown that there is no performance improvement gained from the use of the more complicated KF approach in comparison to the much simpler MV algorithm in the case of MCAO. 3. Sparse predictive Minimum Variance control algorithm for MCAO. The temporal prediction stage has been added to the non-dynamic MV control algorithm in such a way that no additional computational burden is introduced. It has been confirmed through simulations that the use of phase prediction makes it possible to significantly reduce the system sampling rate and thus overall computational complexity while both maintaining the system stable and effectively compensating for the measurement and control latencies.

Development of a high performance parallel computing platform and its use in the study of nanostructures : clusters, sheets and tubes .

Small clusters of gallium oxide, technologically important high temperature ceramic, together with interaction of nucleic acid bases with graphene and small-diameter carbon nanotube are focus of first principles calculations in this work. A high performance parallel computing platform is also developed to perform these calculations at Michigan Tech. First principles calculations are based on density functional theory employing either local density or gradient-corrected approximation together with plane wave and gaussian basis sets. The bulk Ga2O3 is known to be a very good candidate for fabricating electronic devices that operate at high temperatures. To explore the properties of Ga2O3 at nonoscale, we have performed a systematic theoretical study on the small polyatomic gallium oxide clusters. The calculated results find that all lowest energy isomers of GamOn clusters are dominated by the Ga-O bonds over the metal-metal or the oxygen-oxygen bonds. Analysis of atomic charges suggest the clusters to be highly ionic similar to the case of bulk Ga2O3. In the study of sequential oxidation of these slusters starting from Ga2O, it is found that the most stable isomers display up to four different backbones of constituent atoms. Furthermore, the predicted configuration of the ground state of Ga2O is recently confirmed by the experimental result of Neumark's group. Guided by the results of calculations the study of gallium oxide clusters, performance related challenge of computational simulations, of producing high performance computers/platforms, has been addressed. Several engineering aspects were thoroughly studied during the design, development and implementation of the high performance parallel computing platform, rama, at Michigan Tech. In an attempt to stay true to the principles of Beowulf revolutioni, the rama cluster was extensively customized to make it easy to understand, and use - for administrators as well as end-users. Following the results of benchmark calculations and to keep up with the complexity of systems under study, rama has been expanded to a total of sixty four processors. Interest in the non-covalent intereaction of DNA with carbon nanotubes has steadily increased during past several years. This hybrid system, at the junction of the biological regime and the nanomaterials world, possesses features which make it very attractive for a wide range of applicatioins. Using the in-house computational power available, we have studied details of the interaction between nucleic acid bases with graphene sheet as well as high-curvature small-diameter carbon nanotube. The calculated trend in the binding energies strongly suggests that the polarizability of the base molecules determines the interaction strength of the nucleic acid bases with graphene. When comparing the results obtained here for physisorption on the small diameter nanotube considered with those from the study on graphene, it is observed that the interaction strength of nucleic acid bases is smaller for the tube. Thus, these results show that the effect of introducing curvature is to reduce the binding energy. The binding energies for the two extreme cases of negligible curvature (i.e. flat graphene sheet) and of very high curvature (i.e. small diameter nanotube) may be considered as upper and lower bounds. This finding represents an important step towards a better understanding of experimentally observed sequence-dependent interaction of DNA with Carbon nanotubes.

Adaptive sensing for target tracking applications

In a statistical inference scenario, the estimation of target signal or its parameters is done by processing data from informative measurements. The estimation performance can be enhanced if we choose the measurements based on some criteria that help to direct our sensing resources such that the measurements are more informative about the parameter we intend to estimate. While taking multiple measurements, the measurements can be chosen online so that more information could be extracted from the data in each measurement process. This approach fits well in Bayesian inference model often used to produce successive posterior distributions of the associated parameter. We explore the sensor array processing scenario for adaptive sensing of a target parameter. The measurement choice is described by a measurement matrix that multiplies the data vector normally associated with the array signal processing. The adaptive sensing of both static and dynamic system models is done by the online selection of proper measurement matrix over time. For the dynamic system model, the target is assumed to move with some distribution and the prior distribution at each time step is changed. The information gained through adaptive sensing of the moving target is lost due to the relative shift of the target. The adaptive sensing paradigm has many similarities with compressive sensing. We have attempted to reconcile the two approaches by modifying the observation model of adaptive sensing to match the compressive sensing model for the estimation of a sparse vector.

Zyxin interacts with the SH3 domains of the cytoskeletal proteins LIM-nebulette and Lasp-1

Zyxin is a versatile component of focal adhesions in eukaryotic cells. Here we describe a novel binding partner of zyxin, which we have named LIM-nebulette. LIM-nebulette is an alternative splice variant of the sarcomeric protein nebulette, which, in contrast to nebulette, is expressed in non-muscle cells. It displays a modular structure with an N-terminal LIM domain, three nebulin-like repeats, and a C-terminal SH3 domain and shows high similarity to another cytoskeletal protein, Lasp-1 (LIM and SH3 protein-1). Co-precipitation studies and results obtained with the two-hybrid system demonstrate that LIM-nebulette and Lasp-1 interact specifically with zyxin. Moreover, the SH3 domain from LIM-nebulette is both necessary and sufficient for zyxin binding. The SH3 domains from Lasp-1 and nebulin can also interact with zyxin, but the SH3 domains from more distantly related proteins such as vinexin and sorting nexin 9 do not. On the other hand, the binding site in zyxin is situated at the extreme N terminus as shown by site-directed mutagenesis. LIM-nebulette and Lasp-1 use the same linear binding motif. This motif shows some similarity to a class II binding site but does not contain the classical PXXP sequence. LIM-nebulette reveals a subcellular distribution at focal adhesions similar to Lasp-1. Thus, LIM-nebulette, Lasp-1, and zyxin may play an important role in the organization of focal adhesions.

Comparison of climate field reconstruction techniques: Application to Europe

This paper presents a comparison of principal component (PC) regression and regularized expectation maximization (RegEM) to reconstruct European summer and winter surface air temperature over the past millennium. Reconstruction is performed within a surrogate climate using the National Center for Atmospheric Research (NCAR) Climate System Model (CSM) 1.4 and the climate model ECHO-G 4, assuming different white and red noise scenarios to define the distortion of pseudoproxy series. We show how sensitivity tests lead to valuable “a priori” information that provides a basis for improving real world proxy reconstructions. Our results emphasize the need to carefully test and evaluate reconstruction techniques with respect to the temporal resolution and the spatial scale they are applied to. Furthermore, we demonstrate that uncertainties inherent to the predictand and predictor data have to be more rigorously taken into account. The comparison of the two statistical techniques, in the specific experimental setting presented here, indicates that more skilful results are achieved with RegEM as low frequency variability is better preserved. We further detect seasonal differences in reconstruction skill for the continental scale, as e.g. the target temperature average is more adequately reconstructed for summer than for winter. For the specific predictor network given in this paper, both techniques underestimate the target temperature variations to an increasing extent as more noise is added to the signal, albeit RegEM less than with PC regression. We conclude that climate field reconstruction techniques can be improved and need to be further optimized in future applications.

Atmospheric CO₂ response to volcanic eruptions: The role of ENSO, season, and variability

Tropical explosive volcanism is one of the most important natural factors that significantly impact the climate system and the carbon cycle on annual to multi-decadal time scales. The three largest explosive eruptions in the last 50�years�Agung, El Chichón, and Pinatubo�occurred in spring/summer in conjunction with El Niño events and left distinct negative signals in the observational temperature and CO2 records. However, confounding factors such as seasonal variability and El Niño-Southern Oscillation (ENSO) may obscure the forcing-response relationship. We determine for the first time the extent to which initial conditions, i.e., season and phase of the ENSO, and internal variability influence the coupled climate and carbon cycle response to volcanic forcing and how this affects estimates of the terrestrial and oceanic carbon sinks. Ensemble simulations with the Earth System Model (Climate System Model 1.4-carbon) predict that the atmospheric CO2 response is �60 larger when a volcanic eruption occurs during El Niño and in winter than during La Niña conditions. Our simulations suggest that the Pinatubo eruption contributed 11�±�6 to the 25�Pg terrestrial carbon sink inferred over the decade 1990�1999 and �2�±�1 to the 22�Pg oceanic carbon sink. In contrast to recent claims, trends in the airborne fraction of anthropogenic carbon cannot be detected when accounting for the decadal-scale influence of explosive volcanism and related uncertainties. Our results highlight the importance of considering the role of natural variability in the carbon cycle for interpretation of observations and for data-model intercomparison.

Allowable carbon emissions lowered by multiple climate targets

Climate targets are designed to inform policies that would limit the magnitude and impacts of climate change caused by anthropogenic emissions of greenhouse gases and other substances. The target that is currently recognized by most world governments1 places a limit of two degrees Celsius on the global mean warming since preindustrial times. This would require large sustained reductions in carbon dioxide emissions during the twenty-first century and beyond2, 3, 4. Such a global temperature target, however, is not sufficient to control many other quantities, such as transient sea level rise5, ocean acidification6, 7 and net primary production on land8, 9. Here, using an Earth system model of intermediate complexity (EMIC) in an observation-informed Bayesian approach, we show that allowable carbon emissions are substantially reduced when multiple climate targets are set. We take into account uncertainties in physical and carbon cycle model parameters, radiative efficiencies10, climate sensitivity11 and carbon cycle feedbacks12, 13 along with a large set of observational constraints. Within this framework, we explore a broad range of economically feasible greenhouse gas scenarios from the integrated assessment community14, 15, 16, 17 to determine the likelihood of meeting a combination of specific global and regional targets under various assumptions. For any given likelihood of meeting a set of such targets, the allowable cumulative emissions are greatly reduced from those inferred from the temperature target alone. Therefore, temperature targets alone are unable to comprehensively limit the risks from anthropogenic emissions.