Analysis of 16S rRNA and mxaF genes reveling insights into Methylobacterium niche-specific plant association

The genus Methylobacterium comprises pink-pigmented facultative methylotrophic (PPFM) bacteria, known to be an important plant-associated bacterial group. Species of this group, described as plant-nodulating, have the dual capacity of producing cytokinin and enzymes, such as pectinase and cellulase, involved in systemic resistance induction and nitrogen fixation under specific plant environmental conditions. The aim hereby was to evaluate the phylogenetic distribution of Methylobacterium spp. isolates from different host plants. Thus, a comparative analysis between sequences from structural (16S rRNA) and functional mxaF (which codifies for a subunit of the enzyme methanol dehydrogenase) ubiquitous genes, was undertaken. Notably, some Methylobacterium spp. isolates are generalists through colonizing more than one host plant, whereas others are exclusively found in certain specific plant-species. Congruency between phylogeny and specific host inhabitance was higher in the mxaF gene than in the 16S rRNA, a possible indication of function-based selection in this niche. Therefore, in a first stage, plant colonization by Methylobacterium spp. could represent generalist behavior, possibly related to microbial competition and adaptation to a plant environment. Otherwise, niche-specific colonization is apparently impelled by the host plant.

Ethanol fuel analysis by time-domain reflectometry

The technique of Time Domain Reflectometry (TDR) is applied for qualifying ethanol adulterated with water and / or methanol. We used the commercial TDR model VG400, which was originally developed for determining soil moisture, making this study an original approach for qualifying fuels. Several samples of alcohol with the addition of its main contaminants (water and methanol) were prepared and measured with the TDR sensor. The results indicate good response linearity, showing the TDR technique is a promising technique for fuel qualification

Computational methods for the analysis of protein structure and function

The vast majority of known proteins have not yet been experimentally characterized and little is known about their function. The design and implementation of computational tools can provide insight into the function of proteins based on their sequence, their structure, their evolutionary history and their association with other proteins. Knowledge of the three-dimensional (3D) structure of a protein can lead to a deep understanding of its mode of action and interaction, but currently the structures of <1% of sequences have been experimentally solved. For this reason, it became urgent to develop new methods that are able to computationally extract relevant information from protein sequence and structure. The starting point of my work has been the study of the properties of contacts between protein residues, since they constrain protein folding and characterize different protein structures. Prediction of residue contacts in proteins is an interesting problem whose solution may be useful in protein folding recognition and de novo design. The prediction of these contacts requires the study of the protein inter-residue distances related to the specific type of amino acid pair that are encoded in the so-called contact map. An interesting new way of analyzing those structures came out when network studies were introduced, with pivotal papers demonstrating that protein contact networks also exhibit small-world behavior. In order to highlight constraints for the prediction of protein contact maps and for applications in the field of protein structure prediction and/or reconstruction from experimentally determined contact maps, I studied to which extent the characteristic path length and clustering coefficient of the protein contacts network are values that reveal characteristic features of protein contact maps. Provided that residue contacts are known for a protein sequence, the major features of its 3D structure could be deduced by combining this knowledge with correctly predicted motifs of secondary structure. In the second part of my work I focused on a particular protein structural motif, the coiled-coil, known to mediate a variety of fundamental biological interactions. Coiled-coils are found in a variety of structural forms and in a wide range of proteins including, for example, small units such as leucine zippers that drive the dimerization of many transcription factors or more complex structures such as the family of viral proteins responsible for virus-host membrane fusion. The coiled-coil structural motif is estimated to account for 5-10% of the protein sequences in the various genomes. Given their biological importance, in my work I introduced a Hidden Markov Model (HMM) that exploits the evolutionary information derived from multiple sequence alignments, to predict coiled-coil regions and to discriminate coiled-coil sequences. The results indicate that the new HMM outperforms all the existing programs and can be adopted for the coiled-coil prediction and for large-scale genome annotation. Genome annotation is a key issue in modern computational biology, being the starting point towards the understanding of the complex processes involved in biological networks. The rapid growth in the number of protein sequences and structures available poses new fundamental problems that still deserve an interpretation. Nevertheless, these data are at the basis of the design of new strategies for tackling problems such as the prediction of protein structure and function. Experimental determination of the functions of all these proteins would be a hugely time-consuming and costly task and, in most instances, has not been carried out. As an example, currently, approximately only 20% of annotated proteins in the Homo sapiens genome have been experimentally characterized. A commonly adopted procedure for annotating protein sequences relies on the "inheritance through homology" based on the notion that similar sequences share similar functions and structures. This procedure consists in the assignment of sequences to a specific group of functionally related sequences which had been grouped through clustering techniques. The clustering procedure is based on suitable similarity rules, since predicting protein structure and function from sequence largely depends on the value of sequence identity. However, additional levels of complexity are due to multi-domain proteins, to proteins that share common domains but that do not necessarily share the same function, to the finding that different combinations of shared domains can lead to different biological roles. In the last part of this study I developed and validate a system that contributes to sequence annotation by taking advantage of a validated transfer through inheritance procedure of the molecular functions and of the structural templates. After a cross-genome comparison with the BLAST program, clusters were built on the basis of two stringent constraints on sequence identity and coverage of the alignment. The adopted measure explicity answers to the problem of multi-domain proteins annotation and allows a fine grain division of the whole set of proteomes used, that ensures cluster homogeneity in terms of sequence length. A high level of coverage of structure templates on the length of protein sequences within clusters ensures that multi-domain proteins when present can be templates for sequences of similar length. This annotation procedure includes the possibility of reliably transferring statistically validated functions and structures to sequences considering information available in the present data bases of molecular functions and structures.

EXAM-S: an Analysis tool for Multi-Domain Policy Sets

As distributed collaborative applications and architectures are adopting policy based management for tasks such as access control, network security and data privacy, the management and consolidation of a large number of policies is becoming a crucial component of such policy based systems. In large-scale distributed collaborative applications like web services, there is the need of analyzing policy interactions and integrating policies. In this thesis, we propose and implement EXAM-S, a comprehensive environment for policy analysis and management, which can be used to perform a variety of functions such as policy property analyses, policy similarity analysis, policy integration etc. As part of this environment, we have proposed and implemented new techniques for the analysis of policies that rely on a deep study of state of the art techniques. Moreover, we propose an approach for solving heterogeneity problems that usually arise when considering the analysis of policies belonging to different domains. Our work focuses on analysis of access control policies written in the dialect of XACML (Extensible Access Control Markup Language). We consider XACML policies because XACML is a rich language which can represent many policies of interest to real world applications and is gaining widespread adoption in the industry.

Comparative genomic sequencing analysis of a region in human chromosome 11p15.3, mouse chromosome 7 and analysis of the novel STK33, Stk33 gene

The comparative genomic sequence analysis of a region in human chromosome 11p15.3 and its homologous segment in mouse chromosome 7 between ST5 and LMO1 genes has been performed. 158,201 bases were sequenced in the mouse and compared with the syntenic region in human, partially available in the public databases. The analysed region exhibits the typical eukaryotic genomic structure and compared with the close neighbouring regions, strikingly reflexes the mosaic pattern distribution of (G+C) and repeats content despites its relative short size. Within this region the novel gene STK33 was discovered (Stk33 in the mouse), that codes for a serine/threonine kinase. The finding of this gene constitutes an excellent example of the strength of the comparative sequencing approach. Poor gene-predictions in the mouse genomic sequence were corrected and improved by the comparison with the unordered data from the human genomic sequence publicly available. Phylogenetical analysis suggests that STK33 belongs to the calcium/calmodulin-dependent protein kinases group and seems to be a novelty in the chordate lineage. The gene, as a whole, seems to evolve under purifying selection whereas some regions appear to be under strong positive selection. Both human and mouse versions of serine/threonine kinase 33, consists of seventeen exons highly conserved in the coding regions, particularly in those coding for the core protein kinase domain. Also the exon/intron structure in the coding regions of the gene is conserved between human and mouse. The existence and functionality of the gene is supported by the presence of entries in the EST databases and was in vivo fully confirmed by isolating specific transcripts from human uterus total RNA and from several mouse tissues. Strong evidence for alternative splicing was found, which may result in tissue-specific starting points of transcription and in some extent, different protein N-termini. RT-PCR and hybridisation experiments suggest that STK33/Stk33 is differentially expressed in a few tissues and in relative low levels. STK33 has been shown to be reproducibly down-regulated in tumor tissues, particularly in ovarian tumors. RNA in-situ hybridisation experiments using mouse Stk33-specific probes showed expression in dividing cells from lung and germinal epithelium and possibly also in macrophages from kidney and lungs. Preliminary experimentation with antibodies designed in this work, performed in parallel to the preparation of this manuscript, seems to confirm this expression pattern. The fact that the chromosomal region 11p15 in which STK33 is located may be associated with several human diseases including tumor development, suggest further investigation is necessary to establish the role of STK33 in human health.

Structural and functional analysis of centromeric chromatin

Animal neocentromeres are defined as ectopic centromeres that have formed in non-centromeric locations and avoid some of the features, like the DNA satellite sequence, that normally characterize canonical centromeres. Despite this, they are stable functional centromeres inherited through generations. The only existence of neocentromeres provide convincing evidence that centromere specification is determined by epigenetic rather than sequence-specific mechanisms. For all this reasons, we used them as simplified models to investigate the molecular mechanisms that underlay the formation and the maintenance of functional centromeres. We collected human cell lines carrying neocentromeres in different positions. To investigate the region involved in the process at the DNA sequence level we applied a recent technology that integrates Chromatin Immuno-Precipitation and DNA microarrays (ChIP-on-chip) using rabbit polyclonal antibodies directed against CENP-A or CENP-C human centromeric proteins. These DNA binding-proteins are required for kinetochore function and are exclusively targeted to functional centromeres. Thus, the immunoprecipitation of DNA bound by these proteins allows the isolation of centromeric sequences, including those of the neocentromeres. Neocentromeres arise even in protein-coding genes region. We further analyzed if the increased scaffold attachment sites and the corresponding tighter chromatin of the region involved in the neocentromerization process still were permissive or not to transcription of within encoded genes. Centromere repositioning is a phenomenon in which a neocentromere arisen without altering the gene order, followed by the inactivation of the canonical centromere, becomes fixed in population. It is a process of chromosome rearrangement fundamental in evolution, at the bases of speciation. The repeat-free region where the neocentromere initially forms, progressively acquires extended arrays of satellite tandem repeats that may contribute to its functional stability. In this view our attention focalized to the repositioned horse ECA11 centromere. ChIP-on-chip analysis was used to define the region involved and SNPs studies, mapping within the region involved into neocentromerization, were carried on. We have been able to describe the structural polymorphism of the chromosome 11 centromeric domain of Caballus population. That polymorphism was seen even between homologues chromosome of the same cells. That discovery was the first described ever. Genomic plasticity had a fundamental role in evolution. Centromeres are not static packaged region of genomes. The key question that fascinates biologists is to understand how that centromere plasticity could be combined to the stability and maintenance of centromeric function. Starting from the epigenetic point of view that underlies centromere formation, we decided to analyze the RNA content of centromeric chromatin. RNA, as well as secondary chemically modifications that involve both histones and DNA, represents a good candidate to guide somehow the centromere formation and maintenance. Many observations suggest that transcription of centromeric DNA or of other non-coding RNAs could affect centromere formation. To date has been no thorough investigation addressing the identity of the chromatin-associated RNAs (CARs) on a global scale. This prompted us to develop techniques to identify CARs in a genome-wide approach using high-throughput genomic platforms. The future goal of this study will be to focalize the attention on what strictly happens specifically inside centromere chromatin.

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

Multicentre study for a robust protocol in single-voxel spectroscopy: quantification of MRS signals by time-domain fitting algorithms

Magnetic Resonance Spectroscopy (MRS) is an advanced clinical and research application which guarantees a specific biochemical and metabolic characterization of tissues by the detection and quantification of key metabolites for diagnosis and disease staging. The "Associazione Italiana di Fisica Medica (AIFM)" has promoted the activity of the "Interconfronto di spettroscopia in RM" working group. The purpose of the study is to compare and analyze results obtained by perfoming MRS on scanners of different manufacturing in order to compile a robust protocol for spectroscopic examinations in clinical routines. This thesis takes part into this project by using the GE Signa HDxt 1.5 T at the Pavillion no. 11 of the S.Orsola-Malpighi hospital in Bologna. The spectral analyses have been performed with the jMRUI package, which includes a wide range of preprocessing and quantification algorithms for signal analysis in the time domain. After the quality assurance on the scanner with standard and innovative methods, both spectra with and without suppression of the water peak have been acquired on the GE test phantom. The comparison of the ratios of the metabolite amplitudes over Creatine computed by the workstation software, which works on the frequencies, and jMRUI shows good agreement, suggesting that quantifications in both domains may lead to consistent results. The characterization of an in-house phantom provided by the working group has achieved its goal of assessing the solution content and the metabolite concentrations with good accuracy. The goodness of the experimental procedure and data analysis has been demonstrated by the correct estimation of the T2 of water, the observed biexponential relaxation curve of Creatine and the correct TE value at which the modulation by J coupling causes the Lactate doublet to be inverted in the spectrum. The work of this thesis has demonstrated that it is possible to perform measurements and establish protocols for data analysis, based on the physical principles of NMR, which are able to provide robust values for the spectral parameters of clinical use.

Functional characterization of the placenta specific protein PLAC1 and its use for cancer immunotherapy

Summary Antibody-based cancer therapies have been successfully introduced into the clinic and have emerged as the most promising therapeutics in oncology. The limiting factor regarding the development of therapeutical antibody vaccines is the identification of tumor-associated antigens. PLAC1, the placenta-specific protein 1, was categorized for the first time by the group of Prof. Sahin as such a tumor-specific antigen. Within this work PLAC1 was characterized using a variety of biochemical methods. The protein expression profile, the cellular localization, the conformational state and especially the interacting partners of PLAC1 and its functionality in cancer were analyzed. Analysis of the protein expression profile of PLAC1 in normal human tissue confirms the published RT-PCR data. Except for placenta no PLAC1 expression was detectable in any other normal human tissue. Beyond, an increased PLAC1 expression was detected in several cancer cell lines derived of trophoblastic, breast and pancreatic lineage emphasizing its properties as tumor-specific antigen. rnThe cellular localization of PLAC1 revealed that PLAC1 contains a functional signal peptide which conducts the propeptide to the endoplasmic reticulum (ER) and results in the secretion of PLAC1 by the secretory pathway. Although PLAC1 did not exhibit a distinct transmembrane domain, no unbound protein was detectable in the cell culture supernatant of overexpressing cells. But by selective isolation of different cellular compartments PLAC1 was clearly enriched within the membrane fraction. Using size exclusion chromatography PLAC1 was characterized as a highly aggregating protein that forms a network of high molecular multimers, consisting of a mixture of non-covalent as well as covalent interactions. Those interactions were formed by PLAC1 with itself and probably other cellular components and proteins. Consequently, PLAC1 localize outside the cell, where it is associated to the membrane forming a stable extracellular coat-like structure.rnThe first mechanistic hint how PLAC1 promote cancer cell proliferation was achieved identifying the fibroblast growth factor FGF7 as a specific interacting partner of PLAC1. Moreover, it was clearly shown that PLAC1 as well as FGF7 bind to heparin, a glycosaminoglycan of the ECM that is also involved in FGF-signaling. The participation of PLAC1 within this pathway was approved after co-localizing PLAC1, FGF7 and the FGF7 specific receptor (FGFR2IIIb) and identifying the formation of a trimeric complex (PLAC1, FGF7 and the specific receptor FGFR2IIIb). Especially this trimeric complex revealed the role of PLAC1. Binding of PLAC1 together with FGF7 leads to the activation of the intracellular tyrosine kinase of the FGFR2IIIb-receptor and mediate the direct phosphorylation of the AKT-kinase. In the absence of PLAC1, no FGF7 mediated phosphorylation of AKT was observed. Consequently the function of PLAC1 was clarified: PLAC1 acts as a co-factor by stimulating proliferation by of the FGF7-FGFR2 signaling pathway.rnAll together, these novel biochemical findings underline that the placenta specific protein PLAC1 could be a new target for cancer immunotherapy, especially considering its potential applicability for antibody therapy in tumor patients.

Species specific nitrogen isotope analysis by NanoSIMS

Der atmosphärische Kreislauf reaktiver Stickstoffverbindungen beschäftigt sowohl die Naturwissenschaftler als auch die Politik. Dies ist insbesondere darauf zurückzuführen, dass reaktive Stickoxide die Bildung von bodennahem Ozon kontrollieren. Reaktive Stickstoffverbindungen spielen darüber hinaus als gasförmige Vorläufer von Feinstaubpartikeln eine wichtige Rolle und der Transport von reaktivem Stickstoff über lange Distanzen verändert den biogeochemischen Kohlenstoffkreislauf des Planeten, indem er entlegene Ökosysteme mit Stickstoff düngt. Die Messungen von stabilen Stickstoffisotopenverhältnissen (15N/14N) bietet ein Hilfsmittel, welches es erlaubt, die Quellen von reaktiven Stickstoffverbindungen zu identifizieren und die am Stickstoffkeislauf beteiligten Reaktionen mithilfe ihrer reaktionsspezifischen Isotopenfraktionierung genauer zu untersuchen. rnIn dieser Doktorarbeit demonstriere ich, dass es möglich ist, mit Hilfe von Nano-Sekundärionenmassenspektrometrie (NanoSIMS) verschiedene stickstoffhaltige Verbindungen, die üblicherweise in atmosphärischen Feinstaubpartikeln vorkommen, mit einer räumlichen Auflösung von weniger als einem Mikrometer zu analysieren und zu identifizieren. Die Unterscheidung verschiedener stickstoffhaltiger Verbindungen erfolgt anhand der relativen Signalintensitäten der positiven und negativen Sekundärionensignale, die beobachtet werden, wenn die Feinstaubproben mit einem Cs+ oder O- Primärionenstrahl beschossen werden. Die Feinstaubproben können direkt auf dem Probenahmesubstrat in das Massenspektrometer eingeführt werden, ohne chemisch oder physikalisch aufbereited zu werden. Die Methode wurde Mithilfe von Nitrat, Nitrit, Ammoniumsulfat, Harnstoff, Aminosären, biologischen Feinstaubproben (Pilzsporen) und Imidazol getestet. Ich habe gezeigt, dass NO2 Sekundärionen nur beim Beschuss von Nitrat und Nitrit (Salzen) mit positiven Primärionen entstehen, während NH4+ Sekundärionen nur beim Beschuss von Aminosäuren, Harnstoff und Ammoniumsalzen mit positiven Primärionen freigesetzt werden, nicht aber beim Beschuss biologischer Proben wie z.B. Pilzsporen. CN- Sekundärionen werden beim Beschuss aller stickstoffhaltigen Verbindungen mit positiven Primärionen beobachtet, da fast alle Proben oberflächennah mit Kohlenstoffspuren kontaminiert sind. Die relative Signalintensität der CN- Sekundärionen ist bei kohlenstoffhaltigen organischen Stickstoffverbindungen am höchsten.rnDarüber hinaus habe ich gezeigt, dass an reinen Nitratsalzproben (NaNO3 und KNO3), welche auf Goldfolien aufgebracht wurden speziesspezifische stabile Stickstoffisotopenverhältnisse mithilfe des 15N16O2- / 14N16O2- - Sekundärionenverhältnisses genau und richtig gemessen werden können. Die Messgenauigkeit auf Feldern mit einer Rastergröße von 5×5 µm2 wurde anhand von Langzeitmessungen an einem hausinternen NaNO3 Standard als ± 0.6 ‰ bestimmt. Die Differenz der matrixspezifischen instrumentellen Massenfraktionierung zwischen NaNO3 und KNO3 betrug 7.1 ± 0.9 ‰. 23Na12C2- Sekundärionen können eine ernst zu nehmende Interferenz darstellen wenn 15N16O2- Sekundärionen zur Messung des nitratspezifischen schweren Stickstoffs eingesetzt werden sollen und Natrium und Kohlenstoff im selben Feinstaubpartikel als interne Mischung vorliegt oder die natriumhaltige Probe auf einem kohlenstoffhaltigen Substrat abgelegt wurde. Selbst wenn, wie im Fall von KNO3, keine derartige Interferenz vorliegt, führt eine interne Mischung mit Kohlenstoff im selben Feinstaubpartikel zu einer matrixspezifischen instrumentellen Massenfraktionierung die mit der folgenden Gleichung beschrieben werden kann: 15Nbias = (101 ± 4) ∙ f − (101 ± 3) ‰, mit f = 14N16O2- / (14N16O2- + 12C14N-). rnWird das 12C15N- / 12C14N- Sekundärionenverhältnis zur Messung der stabilen Stickstoffisotopenzusammensetzung verwendet, beeinflusst die Probematrix die Messungsergebnisse nicht, auch wenn Stickstoff und Kohlenstoff in den Feinstaubpartikeln in variablen N/C–Verhältnissen vorliegen. Auch Interferenzen spielen keine Rolle. Um sicherzustellen, dass die Messung weiterhin spezifisch auf Nitratspezies eingeschränkt bleibt, kann eine 14N16O2- Maske bei der Datenauswertung verwendet werden. Werden die Proben auf einem kohlenstoffhaltigen, stickstofffreien Probennahmesubstrat gesammelt, erhöht dies die Signalintensität für reine Nitrat-Feinstaubpartikel.

The venom composition of the parasitic wasp Chelonus inanitus resolved by combined expressed sequence tags analysis and proteomic approach

Background Parasitic wasps constitute one of the largest group of venomous animals. Although some physiological effects of their venoms are well documented, relatively little is known at the molecular level on the protein composition of these secretions. To identify the majority of the venom proteins of the endoparasitoid wasp Chelonus inanitus (Hymenoptera: Braconidae), we have randomly sequenced 2111 expressed sequence tags (ESTs) from a cDNA library of venom gland. In parallel, proteins from pure venom were separated by gel electrophoresis and individually submitted to a nano-LC-MS/MS analysis allowing comparison of peptides and ESTs sequences. Results About 60% of sequenced ESTs encoded proteins whose presence in venom was attested by mass spectrometry. Most of the remaining ESTs corresponded to gene products likely involved in the transcriptional and translational machinery of venom gland cells. In addition, a small number of transcripts were found to encode proteins that share sequence similarity with well-known venom constituents of social hymenopteran species, such as hyaluronidase-like proteins and an Allergen-5 protein. An overall number of 29 venom proteins could be identified through the combination of ESTs sequencing and proteomic analyses. The most highly redundant set of ESTs encoded a protein that shared sequence similarity with a venom protein of unknown function potentially specific of the Chelonus lineage. Venom components specific to C. inanitus included a C-type lectin domain containing protein, a chemosensory protein-like protein, a protein related to yellow-e3 and ten new proteins which shared no significant sequence similarity with known sequences. In addition, several venom proteins potentially able to interact with chitin were also identified including a chitinase, an imaginal disc growth factor-like protein and two putative mucin-like peritrophins. Conclusions The use of the combined approaches has allowed to discriminate between cellular and truly venom proteins. The venom of C. inanitus appears as a mixture of conserved venom components and of potentially lineage-specific proteins. These new molecular data enrich our knowledge on parasitoid venoms and more generally, might contribute to a better understanding of the evolution and functional diversity of venom proteins within Hymenoptera.

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.