Analyse von Biotransformationen und Naturstoffsynthesen in pflanzlichen Zellkulturen unter Anwendung der in vivo NMR-Spektroskopie ohne Markierung

Die Aufklärung von Biosynthesewegen erfolgt häufig mit Hilfe von Fütterungsexperimenten mit radioaktiven oder stabilen Isotopen markierten Präkusoren oder auf der Basis der Enzymreinigung mit anschließender molekularbiologischer Charakterisierung. Die erstgenannte Methode verlangt die Isolierung der Produkte. Jedoch besteht bei Aufarbeitung und Extraktion immer die Gefahr, daß sich der Metabolit teilweise oder vollständig chemisch verändert. Ein weiterer Nachteil der genannten Methoden ist, daß diese generell mühsam und zeitaufwendig sind. Mit Hilfe der in vivo NMR-Spektroskopie können diese Nachteile umgangen werden. In der vorliegenden Arbeit wurden Biotransformationen und Biosynthesesequenzen des Ajmalin-Biosyntheseweges mit Hilfe der in vivo NMR-Spektroskopie in Pflanzenzellkulturen von Rauvolfia serpentina und Rauvolfia serpentina x Rhazya stricta anhand der natürlichen 13C-Häufigkeit untersucht. Dafür wurden ein 700 MHz, 800 MHz und ein 500 MHz CryoProbe Spektrometer eingesetzt, um die Biotransformationen von Isatin-3-oxim und Isatin sowie die Metabolisierungen der Alkaloide Vellosimin, Vinorin, Vomilenin, Ajmalin, Nß-Methyl-dihydrochano-ajmalin und Perakin mit der 1H-13C invers korrelierten NMR-Spektroskopie zu verfolgen.

Optimised polyolefin branch quantification by 13 C NMR spectroscopy

Quantitative branch determination in polyolefins by solid- and melt-state 13C NMR has been investigated. Both methods were optimised toward sensitivity per unit time. While solid-state NMR was shown to give quick albeit only qualitative results, melt-state NMR allowed highly time efficient accurate branch quantification. Comparison of spectra obtained using spectrometers operating at 300, 500 and 700 MHz 1H Larmor frequency, with 4 and 7~mm MAS probeheads, showed that the best sensitivity was achieved at 500 MHz using a 7 mm 13C-1H optimised high temperature probehead. For materials available in large quantities, static melt-state NMR, using large diameter detection coils and high coil filling at 300 MHz, was shown to produce comparable results to melt-state MAS measurements in less time. While the use of J-coupling mediated polarisation transfer techniques was shown to be possible, direct polarisation via single-pulse excitation proved to be more suitable for branch quantification in the melt-state. Artificial line broadening, introduced by FID truncation, was able to be reduced by the use of π pulse-train heteronuclear dipolar decoupling. This decoupling method, when combined with an extended duty-cycle, allowed for significant improvement in resolution. Standard setup, processing and analysis techniques were developed to minimise systematic errors contributing to the measured branch contents. The final optimised melt-state MAS NMR method was shown to allow time efficient quantification of comonomer content and distribution in both polyethylene- and polypropylene-co-α-olefins. The sensitivity of the technique was demonstrated by quantifying branch concentrations of 8 branches per 100,000 CH2 for an industrial ‘linear’ polyethylene in only 13 hours. Even lower degrees of 3–8 long-chain branches per 100,000 carbons were able to be estimated in just 24 hours for a series of γ-irradiated polypropylene homopolymers.

NMR spectroscopy and imaging of hyperpolarized gases

Since the discovery of the nuclear magnetic resonance (NMR) phenomenon, countless NMR techniques have been developed that are today indispensable tools in physics, chemistry, biology, and medicine. As one of the main obstacles in NMR is its notorious lack of sensitivity, different hyperpolarization (HP) methods have been established to increase signals up to several orders of magnitude. In this work, different aspects of magnetic resonance, using HP noble gases, are studied, hereby combining different disciplines of research. The first part examines new fundamental effects in NMR of HP gases, in theory and experiment. The spin echo phenomenon, which provides the basis of numerous modern experiments, is studied in detail in the gas phase. The changes of the echo signal in terms of amplitude, shape, and position, due to the fast translational motion, are described by an extension of the existing theory and computer simulations. With this knowledge as a prerequisite, the detection of intermolecular double-quantum coherences was accomplished for the first time in the gas phase. The second part of this thesis focuses on the development of a practical method to enhance the dissolution process of HP 129Xe, without loss of polarization or shortening of T1. Two different setups for application in NMR spectroscopy and magnetic resonance imaging (MRI) are presented. The continuous operation allows biological and multidimensional spectroscopy in solutions. Also, first in vitro MRI images with dissolved HP 129Xe as contrast agent were obtained at a clinical scanner.

Influence of spatial constraints in non-crystalline regions on the polymer dynamics in semi-crystalline polyethylene: a solid state NMR study

A broad variety of solid state NMR techniques were used to investigate the chain dynamics in several polyethylene (PE) samples, including ultrahigh molecular weight PEs (UHMW-PEs) and low molecular weight PEs (LMW-PEs). Via changing the processing history, i.e. melt/solution crystallization and drawing processes, these samples gain different morphologies, leading to different molecular dynamics. Due to the long chain nature, the molecular dynamics of polyethylene can be distinguished in local fluctuation and long range motion. With the help of NMR these different kinds of molecular dynamics can be monitored separately. In this work the local chain dynamics in non-crystalline regions of polyethylene samples was investigated via measuring 1H-13C heteronuclear dipolar coupling and 13C chemical shift anisotropy (CSA). By analyzing the motionally averaged 1H-13C heteronuclear dipolar coupling and 13C CSA, the information about the local anisotropy and geometry of motion was obtained. Taking advantage of the big difference of the 13C T1 relaxation time in crystalline and non-crystalline regions of PEs, the 1D 13C MAS exchange experiment was used to investigate the cooperative chain motion between these regions. The different chain organizations in non-crystalline regions were used to explain the relationship between the local fluctuation and the long range motion of the samples. In a simple manner the cooperative chain motion between crystalline and non-crystalline regions of PE results in the experimentally observed diffusive behavior of PE chain. The morphological influences on the diffusion motion have been discussed. The morphological factors include lamellar thickness, chain organization in non-crystalline regions and chain entanglements. Thermodynamics of the diffusion motion in melt and solution crystallized UHMW-PEs is discussed, revealing entropy-controlled features of the chain diffusion in PE. This thermodynamic consideration explains the counterintuitive relationship between the local fluctuation and the long range motion of the samples. Using the chain diffusion coefficient, the rates of jump motion in crystals of the melt crystallized PE have been calculated. A concept of "effective" jump motion has been proposed to explain the difference between the values derived from the chain diffusion coefficients and those in literatures. The observations of this thesis give a clear demonstration of the strong relationship between the sample morphology and chain dynamics. The sample morphologies governed by the processing history lead to different spatial constraints for the molecular chains, leading to different features of the local and long range chain dynamics. The knowledge of the morphological influence on the microscopic chain motion has many implications in our understanding of the alpha-relaxation process in PE and the related phenomena such as crystal thickening, drawability of PE, the easy creep of PE fiber, etc.

Multilevel Domain Decomposition Algorithms for Monolithic Fluid-Structure Interaction Problems with Application to Haemodynamics

Finite element techniques for solving the problem of fluid-structure interaction of an elastic solid material in a laminar incompressible viscous flow are described. The mathematical problem consists of the Navier-Stokes equations in the Arbitrary Lagrangian-Eulerian formulation coupled with a non-linear structure model, considering the problem as one continuum. The coupling between the structure and the fluid is enforced inside a monolithic framework which computes simultaneously for the fluid and the structure unknowns within a unique solver. We used the well-known Crouzeix-Raviart finite element pair for discretization in space and the method of lines for discretization in time. A stability result using the Backward-Euler time-stepping scheme for both fluid and solid part and the finite element method for the space discretization has been proved. The resulting linear system has been solved by multilevel domain decomposition techniques. Our strategy is to solve several local subproblems over subdomain patches using the Schur-complement or GMRES smoother within a multigrid iterative solver. For validation and evaluation of the accuracy of the proposed methodology, we present corresponding results for a set of two FSI benchmark configurations which describe the self-induced elastic deformation of a beam attached to a cylinder in a laminar channel flow, allowing stationary as well as periodically oscillating deformations, and for a benchmark proposed by COMSOL multiphysics where a narrow vertical structure attached to the bottom wall of a channel bends under the force due to both viscous drag and pressure. Then, as an example of fluid-structure interaction in biomedical problems, we considered the academic numerical test which consists in simulating the pressure wave propagation through a straight compliant vessel. All the tests show the applicability and the numerical efficiency of our approach to both two-dimensional and three-dimensional problems.

Biochemical analysis of the phosphatase domain of the human soluble epoxide hydrolase (sEH)

Die lösliche Epoxidhydrolase (sEH) gehört zur Familie der Epoxidhydrolase-Enzyme. Die Rolle der sEH besteht klassischerweise in der Detoxifikation, durch Umwandlung potenziell schädlicher Epoxide in deren unschädliche Diol-Form. Hauptsächlich setzt die sEH endogene, der Arachidonsäure verwandte Signalmoleküle, wie beispielsweise die Epoxyeicosatrienoic acid, zu den entsprechenden Diolen um. Daher könnte die sEH als ein Zielenzym in der Therapie von Bluthochdruck und Entzündungen sowie diverser anderer Erkrankungen eingesetzt werden. rnDie sEH ist ein Homodimer, in dem jede Untereinheit aus zwei Domänen aufgebaut ist. Das katalytische Zentrum der Epoxidhydrolaseaktivität befindet sich in der 35 kD großen C-terminalen Domäne. Dieser Bereich der sEH s wurde bereits im Detail untersucht und nahezu alle katalytischen Eigenschaften des Enzyms sowie deren dazugehörige Funktionen sind in Zusammenhang mit dieser Domäne bekannt. Im Gegensatz dazu ist über die 25 kD große N-terminale Domäne wenig bekannt. Die N-terminale Domäne der sEH wird zur Haloacid Dehalogenase (HAD) Superfamilie von Hydrolasen gezählt, jedoch war die Funktion dieses N-terminal Domäne lange ungeklärt. Wir haben in unserer Arbeitsgruppe zum ersten Mal zeigen können, dass die sEH in Säugern ein bifunktionelles Enzym ist, welches zusätzlich zur allgemein bekannten Enzymaktivität im C-terminalen Bereich eine weitere enzymatische Funktion mit Mg2+-abhängiger Phosphataseaktivität in der N-terminalen Domäne aufweist. Aufgrund der Homologie der N-terminalen Domäne mit anderen Enzymen der HAD Familie wird für die Ausübung der Phosphatasefunktion (Dephosphorylierung) eine Reaktion in zwei Schritten angenommen.rnUm den katalytischen Mechanismus der Dephosphorylierung weiter aufzuklären, wurden biochemische Analysen der humanen sEH Phosphatase durch Generierung von Mutationen im aktiven Zentrum mittels ortsspezifischer Mutagenese durchgeführt. Hiermit sollten die an der katalytischen Aktivität beteiligten Aminosäurereste im aktiven Zentrum identifiziert und deren Rolle bei der Dephosphorylierung spezifiziert werden. rnrnAuf Basis der strukturellen und möglichen funktionellen Ähnlichkeiten der sEH und anderen Mitgliedern der HAD Superfamilie wurden Aminosäuren (konservierte und teilweise konservierte Aminosäuren) im aktiven Zentrum der sEH Phosphatase-Domäne als Kandidaten ausgewählt.rnVon den Phosphatase-Domäne bildenden Aminosäuren wurden acht ausgewählt (Asp9 (D9), Asp11 (D11), Thr123 (T123), Asn124 (N124), Lys160 (K160), Asp184 (D184), Asp185 (D185), Asn189 (N189)), die mittels ortsspezifischer Mutagenese durch nicht funktionelle Aminosäuren ausgetauscht werden sollten. Dazu wurde jede der ausgewählten Aminosäuren durch mindestens zwei alternative Aminosäuren ersetzt: entweder durch Alanin oder durch eine Aminosäure ähnlich der im Wildtyp-Enzym. Insgesamt wurden 18 verschiedene rekombinante Klone generiert, die für eine mutante sEH Phosphatase Domäne kodieren, in dem lediglich eine Aminosäure gegenüber dem Wildtyp-Enzym ersetzt wurde. Die 18 Mutanten sowie das Wildtyp (Sequenz der N-terminalen Domäne ohne Mutation) wurden in einem Expressionsvektor in E.coli kloniert und die Nukleotidsequenz durch Restriktionsverdau sowie Sequenzierung bestätigt. Die so generierte N-terminale Domäne der sEH (25kD Untereinheit) wurde dann mittels Metallaffinitätschromatographie erfolgreich aufgereinigt und auf Phosphataseaktivität gegenüber des allgemeinen Substrats 4-Nitophenylphosphat getestet. Diejenigen Mutanten, die Phosphataseaktivität zeigten, wurden anschließend kinetischen Tests unterzogen. Basiered auf den Ergebnissen dieser Untersuchungen wurden kinetische Parameter mittels vier gut etablierter Methoden berechnet und die Ergebnisse mit der „direct linear blot“ Methode interpretiert. rnDie Ergebnisse zeigten, dass die meisten der 18 generierten Mutanten inaktiv waren oder einen Großteil der Enzymaktivität (Vmax) gegenüber dem Wildtyp verloren (WT: Vmax=77.34 nmol-1 mg-1 min). Dieser Verlust an Enzymaktivität ließ sich nicht durch einen Verlust an struktureller Integrität erklären, da der Wildtyp und die mutanten Proteine in der Chromatographie das gleiche Verhalten zeigten. Alle Aminosäureaustausche Asp9 (D9), Lys160 (K160), Asp184 (D184) und Asn189 (N189) führten zum kompletten Verlust der Phosphataseaktivität, was auf deren katalytische Funktion im N-terminalen Bereich der sEH hindeutet. Bei einem Teil der Aminosäureaustausche die für Asp11 (D11), Thr123 (T123), Asn124 (N124) und Asn185 (D185) durchgeführt wurden, kam es, verglichen mit dem Wildtyp, zu einer starken Reduktion der Phosphataseaktivität, die aber dennoch für die einzelnen Proteinmutanten in unterschiedlichem Ausmaß zu messen war (2 -10% and 40% of the WT enzyme activity). Zudem zeigten die Mutanten dieser Gruppe veränderte kinetische Eigenschaften (Vmax allein oder Vmax und Km). Dabei war die kinetische Analyse des Mutanten Asp11  Asn aufgrund der nur bei dieser Mutanten detektierbaren starken Vmax Reduktion (8.1 nmol-1 mg-1 min) und einer signifikanten Reduktion der Km (Asp11: Km=0.54 mM, WT: Km=1.3 mM), von besonderem Interesse und impliziert eine Rolle von Asp11 (D11) im zweiten Schritt der Hydrolyse des katalytischen Zyklus.rnZusammenfassend zeigen die Ergebnisse, dass alle in dieser Arbeit untersuchten Aminosäuren für die Phosphataseaktivität der sEH nötig sind und das aktive Zentrum der sEH Phosphatase im N-terminalen Bereich des Enzyms bilden. Weiterhin tragen diese Ergebnisse zur Aufklärung der potenziellen Rolle der untersuchten Aminosäuren bei und unterstützen die Hypothese, dass die Dephosphorylierungsreaktion in zwei Schritten abläuft. Somit ist ein kombinierter Reaktionsmechanismus, ähnlich denen anderer Enzyme der HAD Familie, für die Ausübung der Dephosphorylierungsfunktion denkbar. Diese Annahme wird gestützt durch die 3D-Struktur der N-terminalen Domäne, den Ergebnissen dieser Arbeit sowie Resultaten weiterer biochemischer Analysen. Der zweistufige Mechanismus der Dephosphorylierung beinhaltet einen nukleophilen Angriff des Substratphosphors durch das Nukleophil Asp9 (D9) des aktiven Zentrums unter Bildung eines Acylphosphat-Enzym-Zwischenprodukts, gefolgt von der anschließenden Freisetzung des dephosphorylierten Substrats. Im zweiten Schritt erfolgt die Hydrolyse des Enzym-Phosphat-Zwischenprodukts unterstützt durch Asp11 (D11), und die Freisetzung der Phosphatgruppe findet statt. Die anderen untersuchten Aminosäuren sind an der Bindung von Mg 2+ und/oder Substrat beteiligt. rnMit Hilfe dieser Arbeit konnte der katalytischen Mechanismus der sEH Phosphatase weiter aufgeklärt werden und wichtige noch zu untersuchende Fragestellungen, wie die physiologische Rolle der sEH Phosphatase, deren endogene physiologische Substrate und der genaue Funktionsmechanismus als bifunktionelles Enzym (die Kommunikation der zwei katalytischen Einheiten des Enzyms) wurden aufgezeigt und diskutiert.rn

Next-Generation Sequencing-Based Mutations Scanning Strategy of the BCR-ABL Kinase Domain in Patients with PhiladelPhia-Chromosome Positive Leukemias Treated with Tyrosine Kinase Inhibitors

In chronic myeloid leukemia and Philadelphia-positive acute lymphoblastic leukemia patients resistant to tyrosine kinase inhibitors (TKIs), BCR-ABL kinase domain mutation status is an essential component of the therapeutic decision algorithm. The recent development of Ultra-Deep Sequencing approach (UDS) has opened the way to a more accurate characterization of the mutant clones surviving TKIs conjugating assay sensitivity and throughput. We decided to set-up and validated an UDS-based for BCR-ABL KD mutation screening in order to i) resolve qualitatively and quantitatively the complexity and the clonal structure of mutated populations surviving TKIs, ii) study the dynamic of expansion of mutated clones in relation to TKIs therapy, iii) assess whether UDS may allow more sensitive detection of emerging clones, harboring critical 2GTKIs-resistant mutations predicting for an impending relapse, earlier than SS. UDS was performed on a Roche GS Junior instrument, according to an amplicon sequencing design and protocol set up and validated in the framework of the IRON-II (Interlaboratory Robustness of Next-Generation Sequencing) International consortium.Samples from CML and Ph+ ALL patients who had developed resistance to one or multiple TKIs and collected at regular time-points during treatment were selected for this study. Our results indicate the technical feasibility, accuracy and robustness of our UDS-based BCR-ABL KD mutation screening approach. UDS was found to provide a more accurate picture of BCR-ABL KD mutation status, both in terms of presence/absence of mutations and in terms of clonal complexity and showed that BCR-ABL KD mutations detected by SS are only the “tip of iceberg”. In addition UDS may reliably pick 2GTKIs-resistant mutations earlier than SS in a significantly greater proportion of patients.The enhanced sensitivity as well as the possibility to identify low level mutations point the UDS-based approach as an ideal alternative to conventional sequencing for BCR-ABL KD mutation screening in TKIs-resistant Ph+ leukemia patients

New markov chain based methods for single and cross-domain sentiment classification

Nowadays communication is switching from a centralized scenario, where communication media like newspapers, radio, TV programs produce information and people are just consumers, to a completely different decentralized scenario, where everyone is potentially an information producer through the use of social networks, blogs, forums that allow a real-time worldwide information exchange. These new instruments, as a result of their widespread diffusion, have started playing an important socio-economic role. They are the most used communication media and, as a consequence, they constitute the main source of information enterprises, political parties and other organizations can rely on. Analyzing data stored in servers all over the world is feasible by means of Text Mining techniques like Sentiment Analysis, which aims to extract opinions from huge amount of unstructured texts. This could lead to determine, for instance, the user satisfaction degree about products, services, politicians and so on. In this context, this dissertation presents new Document Sentiment Classification methods based on the mathematical theory of Markov Chains. All these approaches bank on a Markov Chain based model, which is language independent and whose killing features are simplicity and generality, which make it interesting with respect to previous sophisticated techniques. Every discussed technique has been tested in both Single-Domain and Cross-Domain Sentiment Classification areas, comparing performance with those of other two previous works. The performed analysis shows that some of the examined algorithms produce results comparable with the best methods in literature, with reference to both single-domain and cross-domain tasks, in $2$-classes (i.e. positive and negative) Document Sentiment Classification. However, there is still room for improvement, because this work also shows the way to walk in order to enhance performance, that is, a good novel feature selection process would be enough to outperform the state of the art. Furthermore, since some of the proposed approaches show promising results in $2$-classes Single-Domain Sentiment Classification, another future work will regard validating these results also in tasks with more than $2$ classes.

Femur Specific Polyaffine Model to Regularize the Log-Domain Demons Registration

Osteoarticular allograft transplantation is a popular treatment method in wide surgical resections with large defects. For this reason hospitals are building bone data banks. Performing the optimal allograft selection on bone banks is crucial to the surgical outcome and patient recovery. However, current approaches are very time consuming hindering an efficient selection. We present an automatic method based on registration of femur bones to overcome this limitation. We introduce a new regularization term for the log-domain demons algorithm. This term replaces the standard Gaussian smoothing with a femur specific polyaffine model. The polyaffine femur model is constructed with two affine (femoral head and condyles) and one rigid (shaft) transformation. Our main contribution in this paper is to show that the demons algorithm can be improved in specific cases with an appropriate model. We are not trying to find the most optimal polyaffine model of the femur, but the simplest model with a minimal number of parameters. There is no need to optimize for different number of regions, boundaries and choice of weights, since this fine tuning will be done automatically by a final demons relaxation step with Gaussian smoothing. The newly developed synthesis approach provides a clear anatomically motivated modeling contribution through the specific three component transformation model, and clearly shows a performance improvement (in terms of anatomical meaningful correspondences) on 146 CT images of femurs compared to a standard multiresolution demons. In addition, this simple model improves the robustness of the demons while preserving its accuracy. The ground truth are manual measurements performed by medical experts.

Run-Time Evolution through Explicit Meta-Objects

Software must be constantly adapted due to evolving domain knowledge and unanticipated requirements changes. To adapt a system at run-time we need to reflect on its structure and its behavior. Object-oriented languages introduced reflection to deal with this issue, however, no reflective approach up to now has tried to provide a unified solution to both structural and behavioral reflection. This paper describes Albedo, a unified approach to structural and behavioral reflection. Albedo is a model of fined-grained unanticipated dynamic structural and behavioral adaptation. Instead of providing reflective capabilities as an external mechanism we integrate them deeply in the environment. We show how explicit meta-objects allow us to provide a range of reflective features and thereby evolve both application models and environments at run-time.

Enhanced Sensitivity by Nonuniform Sampling Enables Multidimensional MAS NMR Spectroscopy of Protein Assemblies

We report dramatic sensitivity enhancements in multidimensional MAS NMR spectra by the use of nonuniform sampling (NUS) and introduce maximum entropy interpolation (MINT) processing that assures the linearity between the time and frequency domains of the NUS acquired data sets. A systematic analysis of sensitivity and resolution in 2D and 3D NUS spectra reveals that with NUS, at least 1.5- to 2-fold sensitivity enhancement can be attained in each indirect dimension without compromising the spectral resolution. These enhancements are similar to or higher than those attained by the newest-generation commercial cryogenic probes. We explore the benefits of this NUS/MaxEnt approach in proteins and protein assemblies using 1-73-(U-C-13,N-15)/74-108-(U-N-15) Escherichia coil thioredoxin reassembly. We demonstrate that in thioredoxin reassembly, NUS permits acquisition of high-quality 3D-NCACX spectra, which are inaccessible with conventional sampling due to prohibitively long experiment times. Of critical importance, issues that hinder NUS-based SNR enhancement in 3D-NMR of liquids are mitigated in the study of solid samples in which theoretical enhancements on the order of 3-4 fold are accessible by compounding the NUS-based SNR enhancement of each indirect dimension. NUS/MINT is anticipated to be widely applicable and advantageous for multidimensional heteronuclear MAS NMR spectroscopy of proteins, protein assemblies, and other biological systems.

Characterization of HgCl2 Tridentate Amine Complexes by X-ray Crystallography, NMR and ESI-MS

Two new HgCl2 complexes of tridentate nitrogen ligands were characterized by X-ray crystallography, proton NMR spectroscopy and ESI-MS. The five-coordinate complex [Hg(BMPA)Cl-2] (1) (BMPA = bis(2-pyridylmethyl)amine) crystallized from acetonitrile/m-xylene by slow evaporation in the monoclinic space group P2(1)/n with a = 8.3896(8) , b = 12.8020(13) , c = 13.3526(13) , alpha = 90A degrees, beta A = 90.480(2)A degrees, gamma A = 90A degrees and z = 4. The square pyramidal structure (tau = 0.009) has approximate C (s) symmetry. Despite comparable Hg-N bond lengths in 1, inversion of the central nitrogen was rapid on the chemical shift time scale in dilute solution except at very low temperatures. The related complex [Hg(BEPA)Cl-2] (2) (BEPA = bis(2-{pyrid-2-yl}ethyl)amine) crystallized from acetonitrile/ethyl acetate/hexanes by slow diffusion in the orthorhombic space group Pnma with a = 13.424(3) , b = 14.854(3) , c = 8.118(2) , alpha = 90A degrees, beta A = 90A degrees, gamma A = 90A degrees and z = 4. The mixed geometry structure (tau = 0.56) also has crystallographic mirror symmetry as well as C (s) point group symmetry. In dilute acetonitrile solution, 1 was stable while 2 slowly converted to a more thermodynamically stable complex.

Purification, cDNA structure and biological significance of a single insulin-like growth factor-binding domain protein (SIBD-1) identified in the hemocytes of the spider Cupiennius salei

Cupiennius salei single insulin-like growth factor-binding domain protein (SIBD-1), which exhibits an IGFBP N-terminal domain-like profile, was identified in the hemocytes of the spider C. salei. SIBD-1 was purified by RP-HPLC and the sequence determined by a combination of Edman degradation and 5'-3'- RACE PCR. The peptide (8676.08 Da) is composed of 78 amino acids, contains six intrachain disulphide bridges and carries a modified Thr residue at position 2. SIBD-1 mRNA expression was detected by quantitative real-time PCR mainly in hemocytes, but also in the subesophageal nerve mass and muscle. After infection, the SIBD-1 content in the hemocytes decreases and, simultaneously, the temporal SIBD-1 expression seems to be down-regulated. Two further peptides, SIBD-2 and IGFBP-rP1, also exhibiting IGFBP N-terminal domain variants with unknown functions, were identified on cDNA level in spider hemocytes and venom glands. We conclude that SIBD-1 may play an important role in the immune system of spiders.

Interactions between selected photosensitizers and model membranes: an NMR classification

Membrane interactions of porphyrinic photosensitizers (PSs) are known to play a crucial role for PS efficiency in photodynamic therapy (PDT). In the current paper, the interactions between 15 different porphyrinic PSs with various hydrophilic/lipophilic properties and phospholipid bilayers were probed by NMR spectroscopy. Unilamellar vesicles consisting of dioleoyl-phosphatidyl-choline (DOPC) were used as membrane models. PS-membrane interactions were deduced from analysis of the main DOPC (1)H-NMR resonances (choline and lipid chain signals). Initial membrane adsorption of the PSs was indicated by induced changes to the DOPC choline signal, i.e. a split into inner and outer choline peaks. Based on this parameter, the PSs could be classified into two groups, Type-A PSs causing a split and the Type-B PSs causing no split. A further classification into two subgroups each, A1, A2 and B1, B2 was based on the observed time-dependent changes of the main DOPC NMR signals following initial PS adsorption. Four different time-correlated patterns were found indicating different levels and rates of PS penetration into the hydrophobic membrane interior. The type of interaction was mainly affected by the amphiphilicity and the overall lipophilicity of the applied PS structures. In conclusion, the NMR data provided valuable structural and dynamic insights into the PS-membrane interactions which allow deriving the structural constraints for high membrane affinity and high membrane penetration of a given PS. (C) 2011 Elsevier B.V. All rights reserved.

Uncovering the dynamics of cardiac systems using stochastic pacing and frequency domain analyses

Alternans of cardiac action potential duration (APD) is a well-known arrhythmogenic mechanism which results from dynamical instabilities. The propensity to alternans is classically investigated by examining APD restitution and by deriving APD restitution slopes as predictive markers. However, experiments have shown that such markers are not always accurate for the prediction of alternans. Using a mathematical ventricular cell model known to exhibit unstable dynamics of both membrane potential and Ca2+ cycling, we demonstrate that an accurate marker can be obtained by pacing at cycle lengths (CLs) varying randomly around a basic CL (BCL) and by evaluating the transfer function between the time series of CLs and APDs using an autoregressive-moving-average (ARMA) model. The first pole of this transfer function corresponds to the eigenvalue (λalt) of the dominant eigenmode of the cardiac system, which predicts that alternans occurs when λalt≤−1. For different BCLs, control values of λalt were obtained using eigenmode analysis and compared to the first pole of the transfer function estimated using ARMA model fitting in simulations of random pacing protocols. In all versions of the cell model, this pole provided an accurate estimation of λalt. Furthermore, during slow ramp decreases of BCL or simulated drug application, this approach predicted the onset of alternans by extrapolating the time course of the estimated λalt. In conclusion, stochastic pacing and ARMA model identification represents a novel approach to predict alternans without making any assumptions about its ionic mechanisms. It should therefore be applicable experimentally for any type of myocardial cell.