Study of cerebral gene expression densities using Voronoi analysis

As the available public cerebral gene expression image data increasingly grows, the demand for automated methods to analyze such large amount of data also increases. An important study that can be carried out on these data is related to the spatial relationship between gene expressions. Similar spatial density distribution of expression between genes may indicate they are functionally correlated, thus the identification of these similarities is useful in suggesting directions of investigation to discover gene interactions and their correlated functions. In this paper, we describe the use of a high-throughput methodology based on Voronoi diagrams to automatically analyze and search for possible local spatial density relationships between gene expression images. We tested this method using mouse brain section images from the Allen Mouse Brain Atlas public database. This methodology provided measurements able to characterize the similarity of the density distribution between gene expressions and allowed the visualization of the results through networks and Principal Component Analysis (PCA). These visualizations are useful to analyze the similarity level between gene expression patterns, as well as to compare connection patterns between region networks. Some genes were found to have the same type of function and to be near each other in the PCA visualizations. These results suggest cerebral density correlations between gene expressions that could be further explored. (C) 2011 Elsevier B.V. All rights reserved.

Association Between Circulating Electronegative Low-Density Lipoproteins and Serum Ferritin in Hemodialysis Patients: A Pilot Study

Background: Iron supplementation is a common recommendation to chronic kidney disease patients undergoing hemodialysis (HD). However, iron excess is closely associated with lipid peroxidation and, it is well known that electronegative low-density lipoproteins (LDL[-]) are present at higher plasma concentrations in diseases with high cardiovascular risk such as chronic kidney disease. Thus, the aim of this study was to investigate whether ferritin levels are associated with LDL(-) levels in HD patients. Design: This was a cross-sectional study. Setting: This study was conducted from a private clinic in Rio de Janeiro, Brazil. Patients: The study included 27 HD patients and 15 healthy subjects. Methods and Procedures: Twenty-seven HD patients (14 men, 58.6 +/- 10 years, 62.2 +/- 51.4 months on dialysis, and body mass index: 24.4 +/- 4.2 kg/m(2)) were studied and compared with 15 healthy individuals (6 men, 53.8 +/- 15.4 years, body mass index: 24.5 +/- 4.3 kg/m(2)). Serum LDL(-) levels were measured using the enzyme-linked immunosorbent assay method; ferritin levels by commercially available kits, and tumor necrosis factor-alpha, interleukin-6, monocyte chemoattractant protein-1, and plasminogen activator inhibitor-1 were determined with a multiplex assay kit manufactured by R&D Systems. Results: The HD patients presented higher LDL(-) and tumor necrosis factor-alpha levels (0.15 +/- 0.13 U/L and 5.9 +/- 2.3 pg/mL, respectively) than healthy subjects (0.07 +/- 0.05 U/L and 2.3 +/- 1.3 pg/mL, respectively) (P = .0001). The mean ferritin level in HD patients was 1,117.5 +/- 610.4 ng/mL, and 90% of patients showed ferritin levels exceeding 500 ng/mL. We found a positive correlation between LDL(-) and ferritin in the patients (r = 0.48; P = .01), and ferritin was a significant contributor to LDL(-) concentrations independent of inflammation. Conclusions: Excess body iron stores for HD patients was associated with signs of increased oxidative stress, as reflected by increased LDL(-) levels in HD patients. (C) 2012 by the National Kidney Foundation, Inc. All rights reserved.

Nonculture-based identification of bacteria in milk by protein fingerprinting

Traditional methods for bacterial identification include Gram staining, culturing, and biochemical assays for phenotypic characterization of the causative organism. These methods can be time-consuming because they require in vitro cultivation of the microorganisms. Recently, however, it has become possible to obtain chemical profiles for lipids, peptides, and proteins that are present in an intact organism, particularly now that new developments have been made for the efficient ionization of biomolecules. MS has therefore become the state-of-the-art technology for microorganism identification in microbiological clinical diagnosis. Here, we introduce an innovative sample preparation method for nonculture-based identification of bacteria in milk. The technique detects characteristic profiles of intact proteins (mostly ribosomal) with the recently introduced MALDI SepsityperTM Kit followed by MALDI-MS. In combination with a dedicated bioinformatics software tool for databank matching, the method allows for almost real-time and reliable genus and species identification. We demonstrate the sensitivity of this protocol by experimentally contaminating pasteurized and homogenized whole milk samples with bacterial loads of 10(3)-10(8) colony-forming units (cfu) of laboratory strains of Escherichia coli, Enterococcus faecalis, and Staphylococcus aureus. For milk samples contaminated with a lower bacterial load (104 cfu mL-1), bacterial identification could be performed after initial incubation at 37 degrees C for 4 h. The sensitivity of the method may be influenced by the bacterial species and count, and therefore, it must be optimized for the specific application. The proposed use of protein markers for nonculture-based bacterial identification allows for high-throughput detection of pathogens present in milk samples. This method could therefore be useful in the veterinary practice and in the dairy industry, such as for the diagnosis of subclinical mastitis and for the sanitary monitoring of raw and processed milk products.

Identification of Novel Cellular Transcription Factors that Regulate Early Promoters of Human Papillomavirus Types 18 and 16

Background. The long control region (LCR) of human papillomavirus (HPV) regulates early gene transcription by interaction with several viral and cellular transcription factors (TFs). Methods. To identify novel TFs that could influence early expression of HPV type 18 (HPV-18) and HPV type 16 (HPV-16), a high-throughput transfection array was used. Results. Among the 704 TFs tested, 28 activated and 36 inhibited the LCR of HPV-18 by more than 2-fold. For validation, C33 cells were cotransfected with increasing amounts of selected TF expression plasmids in addition to LCR-luciferase vectors of different molecular variants of HPV-18 and HPV-16. Among the TFs identified, only GATA3, FOXA1, and MYC have putative binding sites within the LCR sequence, as indicated using the TRANSFAC database. Furthermore, we demonstrated FOXA1 and MYC in vivo binding to the LCR of both HPV types using chromatin immunoprecipitation assay. Conclusions. We identified new TFs implicated in the regulation of the LCR of HPV-18 and HPV-16. Many of these factors are mutated in cancer or are putative cancer biomarkers and could potentially be involved in the regulation of HPV early gene expression.

SAGE analysis highlights the putative role of underexpression of ribosomal proteins in GH-secreting pituitary adenomas

Background: Although the molecular pathogenesis of pituitary adenomas has been assessed by several different techniques, it still remains partially unclear. Ribosomal proteins (RPs) have been recently related to human tumorigenesis, but they have not yet been evaluated in pituitary tumorigenesis. Objective: The aim of this study was to introduce serial analysis of gene expression (SAGE), a high-throughput method, in pituitary research in order to compare differential gene expression. Methods: Two SAGE cDNA libraries were constructed, one using a pool of mRNA obtained from five GH-secreting pituitary tumors and another from three normal pituitaries. Genes differentially expressed between the libraries were further validated by real-time PCR in 22 GH-secreting pituitary tumors and in 15 normal pituitaries. Results: Computer-generated genomic analysis tools identified 13 722 and 14 993 exclusive genes in normal and adenoma libraries respectively. Both shared 6497 genes, 2188 were underexpressed and 4309 overexpressed in tumoral library. In adenoma library, 33 genes encoding RPs were underexpressed. Among these, RPSA, RPS3, RPS14, and RPS29 were validated by real-time PCR. Conclusion: We report the first SAGE library from normal pituitary tissue and GH-secreting pituitary tumor, which provide quantitative assessment of cellular transcriptome. We also validated some downregulated genes encoding RPs. Altogether, the present data suggest that the underexpression of the studied RP genes possibly collaborates directly or indirectly with other genes to modify cell cycle arrest, DNA repair, and apoptosis, leading to an environment that might have a putative role in the tumorigenesis, introducing new perspectives for further studies on molecular genesis of somatotrophinomas.

Use of Carr-Purcell pulse sequence with low refocusing flip angle to measure T-1 and T-2 in a single experiment

The Carr-Purcell pulse sequence, with low refocusing flip angle, produces echoes midway between refocusing pulses that decay to a minimum value dependent on T*(2). When the refocusing flip angle was pi/2 (CP90) and tau > T*(2), the signal after the minimum value, increased to reach a steady-state free precession regime (SSFP), composed of a free induction decay signal after each pulse and an echo, before the next pulse. When tau < T*(2), the signal increased from the minimum value to the steady-state regime with a time constant (T*) = 2T(1)T(2)/(T-1 + T-2). identical to the time constant observed in the SSFP sequence, known as the continuous wave free precession (CWFP). The steady-state amplitude obtained with M-cp90 = M0T2/(T-1+T-2) was identical to CWFP. Therefore, this sequence was named CP-CWFP because it is a Carr-Purcell sequence that produces results similar to the CWFP. However, CP-CWFP is a better sequence for measuring the longitudinal and transverse relaxation times in single scan, when the sample exhibits T-1 similar to T-2. Therefore, this sequence can be a useful method in time domain NMR and can be widely used in the agriculture, food and petrochemical industries because those samples tend to have similar relaxation times in low magnetic fields. (C) 2011 Elsevier Inc. All rights reserved.

Development of screening assays to test novel integrin antagonists in allergic inflammation

Aim of the research: to develop a prototype of homogeneous high-throughput screening (HTS) for identification of novel integrin antagonists for the treatment of ocular allergy and to better understand the mechanisms of action of integrin-mediated levocabastine antiallergic action. Results: This thesis provides evidence that adopting scintillation proximity assay (SPA) levocabastine (IC50=406 mM), but not the first-generation antihistamine chlorpheniramine, displaces [125I]fibronectin (FN) binding to human a4b1 integrin. This result is supported by flow cytometry analysis, where levocabastine antagonizes the binding of a primary antibody to integrin a4 expressed in Jurkat E6.1 cells. Levocabastine, but not chlorpheniramine, binds to a4b1 integrin and prevents eosinophil adhesion to VCAM-1, FN or human umbilical vein endothelial cells (HUVEC) cultured in vitro. Similarly, levocabastine affects aLb2/ICAM-1-mediated adhesion of Jurkat E6.1 cells. Analyzing the supernatant of TNF-a-treated (24h) eosinophilic cells (EoL-1), we report that levocabastine reduces the TNF-a-induced release of the cytokines IL-12p40, IL-8 and VEGF. Finally, in a model of allergic conjunctivitis, levocastine eye drops (0.05%) reduced the clinical aspects of the early and late phase reactions and the conjunctival expression of a4b1 integrin by reducing infiltrated eosinophils. Conclusions: SPA is a highly efficient, amenable to automation and robust binding assay to screen novel integrin antagonists in a HTS setting. We propose that blockade of integrinmediated cell adhesion might be a target of the anti-allergic action of levocabastine and may play a role in preventing eosinophil adhesion and infiltration in allergic conjunctivitis.

Development of muliplexed analytical methods based on bioluminescent whole-cell biosensors

The subject of this Ph.D. research thesis is the development and application of multiplexed analytical methods based on bioluminescent whole-cell biosensors. One of the main goals of analytical chemistry is multianalyte testing in which two or more analytes are measured simultaneously in a single assay. The advantages of multianalyte testing are work simplification, high throughput, and reduction in the overall cost per test. The availability of multiplexed portable analytical systems is of particular interest for on-field analysis of clinical, environmental or food samples as well as for the drug discovery process. To allow highly sensitive and selective analysis, these devices should combine biospecific molecular recognition with ultrasensitive detection systems. To address the current need for rapid, highly sensitive and inexpensive devices for obtaining more data from each sample,genetically engineered whole-cell biosensors as biospecific recognition element were combined with ultrasensitive bioluminescence detection techniques. Genetically engineered cell-based sensing systems were obtained by introducing into bacterial, yeast or mammalian cells a vector expressing a reporter protein whose expression is controlled by regulatory proteins and promoter sequences. The regulatory protein is able to recognize the presence of the analyte (e.g., compounds with hormone-like activity, heavy metals…) and to consequently activate the expression of the reporter protein that can be readily measured and directly related to the analyte bioavailable concentration in the sample. Bioluminescence represents the ideal detection principle for miniaturized analytical devices and multiplexed assays thanks to high detectability in small sample volumes allowing an accurate signal localization and quantification. In the first chapter of this dissertation is discussed the obtainment of improved bioluminescent proteins emitting at different wavelenghts, in term of increased thermostability, enhanced emission decay kinetic and spectral resolution. The second chapter is mainly focused on the use of these proteins in the development of whole-cell based assay with improved analytical performance. In particular since the main drawback of whole-cell biosensors is the high variability of their analyte specific response mainly caused by variations in cell viability due to aspecific effects of the sample’s matrix, an additional bioluminescent reporter has been introduced to correct the analytical response thus increasing the robustness of the bioassays. The feasibility of using a combination of two or more bioluminescent proteins for obtaining biosensors with internal signal correction or for the simultaneous detection of multiple analytes has been demonstrated by developing a dual reporter yeast based biosensor for androgenic activity measurement and a triple reporter mammalian cell-based biosensor for the simultaneous monitoring of two CYP450 enzymes activation, involved in cholesterol degradation, with the use of two spectrally resolved intracellular luciferases and a secreted luciferase as a control for cells viability. In the third chapter is presented the development of a portable multianalyte detection system. In order to develop a portable system that can be used also outside the laboratory environment even by non skilled personnel, cells have been immobilized into a new biocompatible and transparent polymeric matrix within a modified clear bottom black 384 -well microtiter plate to obtain a bioluminescent cell array. The cell array was placed in contact with a portable charge-coupled device (CCD) light sensor able to localize and quantify the luminescent signal produced by different bioluminescent whole-cell biosensors. This multiplexed biosensing platform containing whole-cell biosensors was successfully used to measure the overall toxicity of a given sample as well as to obtain dose response curves for heavy metals and to detect hormonal activity in clinical samples (PCT/IB2010/050625: “Portable device based on immobilized cells for the detection of analytes.” Michelini E, Roda A, Dolci LS, Mezzanotte L, Cevenini L , 2010). At the end of the dissertation some future development steps are also discussed in order to develop a point of care (POCT) device that combine portability, minimum sample pre-treatment and highly sensitive multiplexed assays in a short assay time. In this POCT perspective, field-flow fractionation (FFF) techniques, in particular gravitational variant (GrFFF) that exploit the earth gravitational field to structure the separation, have been investigated for cells fractionation, characterization and isolation. Thanks to the simplicity of its equipment, amenable to miniaturization, the GrFFF techniques appears to be particularly suited for its implementation in POCT devices and may be used as pre-analytical integrated module to be applied directly to drive target analytes of raw samples to the modules where biospecifc recognition reactions based on ultrasensitive bioluminescence detection occurs, providing an increase in overall analytical output.

Bioanalytical applications of multicolour bioluminescence imaging: new tools for drug discovery and development

The subject of this thesis is multicolour bioluminescence analysis and how it can provide new tools for drug discovery and development.The mechanism of color tuning in bioluminescent reactions is not fully understood yet but it is object of intense research and several hypothesis have been generated. In the past decade key residues of the active site of the enzyme or in the surface surrounding the active site have been identified as responsible of different color emission. Anyway since bioluminescence reaction is strictly dependent from the interaction between the enzyme and its substrate D-luciferin, modification of the substrate can lead to a different emission spectrum too. In the recent years firefly luciferase and other luciferases underwent mutagenesis in order to obtain mutants with different emission characteristics. Thanks to these new discoveries in the bioluminescence field multicolour luciferases can be nowadays employed in bioanalysis for assay developments and imaging purposes. The use of multicolor bioluminescent enzymes expanded the potential of a range of application in vitro and in vivo. Multiple analysis and more information can be obtained from the same analytical session saving cost and time. This thesis focuses on several application of multicolour bioluminescence for high-throughput screening and in vivo imaging. Multicolor luciferases can be employed as new tools for drug discovery and developments and some examples are provided in the different chapters. New red codon optimized luciferase have been demonstrated to be improved tools for bioluminescence imaging in small animal and the possibility to combine red and green luciferases for BLI has been achieved even if some aspects of the methodology remain challenging and need further improvement. In vivo Bioluminescence imaging has known a rapid progress since its first application no more than 15 years ago. It is becoming an indispensable tool in pharmacological research. At the same time the development of more sensitive and implemented microscopes and low-light imager for a better visualization and quantification of multicolor signals would boost the research and the discoveries in life sciences in general and in drug discovery and development in particular.

Implementation of network entropy algorithms on hpc machines, with application to high-dimensional experimental data

Network Theory is a prolific and lively field, especially when it approaches Biology. New concepts from this theory find application in areas where extensive datasets are already available for analysis, without the need to invest money to collect them. The only tools that are necessary to accomplish an analysis are easily accessible: a computing machine and a good algorithm. As these two tools progress, thanks to technology advancement and human efforts, wider and wider datasets can be analysed. The aim of this paper is twofold. Firstly, to provide an overview of one of these concepts, which originates at the meeting point between Network Theory and Statistical Mechanics: the entropy of a network ensemble. This quantity has been described from different angles in the literature. Our approach tries to be a synthesis of the different points of view. The second part of the work is devoted to presenting a parallel algorithm that can evaluate this quantity over an extensive dataset. Eventually, the algorithm will also be used to analyse high-throughput data coming from biology.

Structured antibody surfaces for bio-recognition and a label-free detection of bacteria

Antibody microarrays are of great research interest because of their potential application as biosensors for high-throughput protein and pathogen screening technologies. In this active area, there is still a need for novel structures and assemblies providing insight in binding interactions such as spherical and annulus-shaped protein structures, e.g. for the utilization of curved surfaces for the enhanced protein-protein interactions and detection of antigens. Therefore, the goal of the presented work was to establish a new technique for the label-free detection of bio-molecules and bacteria on topographically structured surfaces, suitable for antibody binding.rnIn the first part of the presented thesis, the fabrication of monolayers of inverse opals with 10 μm diameter and the immobilization of antibodies on their interior surface is described. For this purpose, several established methods for the linking of antibodies to glass, including Schiff bases, EDC/S-NHS chemistry and the biotin-streptavidin affinity system, were tested. The employed methods included immunofluorescence and image analysis by phase contrast microscopy. It could be shown that these methods were not successful in terms of antibody immobilization and adjacent bacteria binding. Hence, a method based on the application of an active-ester-silane was introduced. It showed promising results but also the need for further analysis. Especially the search for alternative antibodies addressing other antigens on the exterior of bacteria will be sought-after in the future.rnAs a consequence of the ability to control antibody-functionalized surfaces, a new technique employing colloidal templating to yield large scale (~cm2) 2D arrays of antibodies against E. coli K12, eGFP and human integrin αvβ3 on a versatile useful glass surface is presented. The antibodies were swept to reside around the templating microspheres during solution drying, and physisorbed on the glass. After removing the microspheres, the formation of annuli-shaped antibody structures was observed. The preserved antibody structure and functionality is shown by binding the specific antigens and secondary antibodies. The improved detection of specific bacteria from a crude solution compared to conventional “flat” antibody surfaces and the setting up of an integrin-binding platform for targeted recognition and surface interactions of eukaryotic cells is demonstrated. The structures were investigated by atomic force, confocal and fluorescence microscopy. Operational parameters like drying time, temperature, humidity and surfactants were optimized to obtain a stable antibody structure.

Stock boundaries of Parapenaeus longirostris (Lucas, 1846) populations in the Italian seas: Development of genomic 2b-RAD markers and biological variation analysis.

This thesis is developed in the contest of Ritmare project WP1, which main objective is the development of a sustainable fishery through the identification of populations boundaries in commercially important species in Italian Seas. Three main objectives are discussed in order to help reach the main purpose of identification of stock boundaries in Parapenaeus longirostris: 1 -Development of a representative sampling design for Italian seas; 2 -Evaluation of 2b-RAD protocol; 3 -Investigation of populations through biological data analysis. First of all we defined and accomplished a sampling design which properly represents all Italian seas. Then we used information and data about nursery areas distribution, abundance of populations and importance of P. longirostris in local fishery, to develop an experimental design that prioritize the most important areas to maximize the results with actual project funds. We introduced for the first time the use of 2b-RAD on this species, a genotyping method based on sequencing the uniform fragments produced by type IIB restriction endonucleases. Thanks to this method we were able to move from genetics to the more complex genomics. In order to proceed with 2b-RAD we performed several tests to identify the best DNA extraction kit and protocol and finally we were able to extract 192 high quality DNA extracts ready to be processed. We tested 2b-RAD with five samples and after high-throughput sequencing of libraries we used the software “Stacks” to analyze the sequences. We obtained positive results identifying a great number of SNP markers among the five samples. To guarantee a multidisciplinary approach we used the biological data associated to the collected samples to investigate differences between geographical samples. Such approach assures continuity with other project, for instance STOCKMED, which utilize a combination of molecular and biological analysis as well.

Genexpressionsanalyse der fötalen Wachstumsfuge des Rindes

Erkrankungen des Skelettapparats wie beispielsweise die Osteoporose oder Arthrose gehören neben den Herz-Kreislauferkrankungen und Tumoren zu den Häufigsten Erkrankungen des Menschen. Ein besseres Verständnis der Bildung und des Erhalts von Knochen- oder Knorpelgewebe ist deshalb von besonderer Bedeutung. Viele bisherige Ansätze zur Identifizierung hierfür relevanter Gene, deren Produkte und Interaktionen beruhen auf der Untersuchung pathologischer Situationen. Daher ist die Funktion vieler Gene nur im Zusammenhang mit Krankheiten beschrieben. Untersuchungen, die die Genaktivität bei der Normalentwicklung von knochen- und knorpelbildenden Geweben zum Ziel haben, sind dagegen weit weniger oft durchgeführt worden. rnEines der entwicklungsphysiologisch interessantesten Gewebe ist die Epiphysenfuge der Röhrenknochen. In dieser sogenannten Wachstumsfuge ist insbesondere beim fötalen Gewebe eine sehr hohe Aktivität derjenigen Gene zu erwarten, die an der Knochen- und Knorpelbildung beteiligt sind. In der vorliegenden Arbeit wurde daher aus der Epiphysenfuge von Kälberknochen RNA isoliert und eine cDNA-Bibliothek konstruiert. Von dieser wurden ca. 4000 Klone im Rahmen eines klassischen EST-Projekts sequenziert. Durch die Analyse konnte ein ungefähr 900 Gene umfassendes Expressionsprofil erstellt werden und viele Transkripte für Komponenten der regulatorischen und strukturbildenden Bestandteile der Knochen- und Knorpelentwicklung identifiziert werden. Neben den typischen Genen für Komponenten der Knochenentwicklung sind auch deutlich Bestandteile für embryonale Entwicklungsprozesse vertreten. Zu ersten gehören in erster Linie die Kollagene, allen voran Kollagen II alpha 1, das mit Abstand höchst exprimierte Gen in der fötalen Wachstumsfuge. Nach den ribosomalen Proteinen stellen die Kollagene mit ca. 10 % aller auswertbaren Sequenzen die zweitgrößte Gengruppe im erstellten Expressionsprofil dar. Proteoglykane und andere niedrig exprimierte regulatorische Elemente, wie Transkriptionsfaktoren, konnten im EST-Projekt aufgrund der geringen Abdeckung nur in sehr geringer Kopienzahl gefunden werden. Allerdings förderte die EST-Analyse mehrere interessante, bisher nicht bekannte Transkripte zutage, die detaillierter untersucht wurden. Dazu gehören Transkripte die, die dem LOC618319 zugeordnet werden konnten. Neben den bisher beschriebenen drei Exonbereichen konnte ein weiteres Exon im 3‘-UTR identifiziert werden. Im abgeleiteten Protein, das mindestens 121 AS lang ist, wurden ein Signalpeptid und eine Transmembrandomäne nachgewiesen. In Verbindung mit einer möglichen Glykosylierung ist das Genprodukt in die Gruppe der Proteoglykane einzuordnen. Leicht abweichend von den typischen Strukturen knochen- und knorpelspezifischer Proteoglykane ist eine mögliche Funktion dieses Genprodukts bei der Interaktion mit Integrinen und der Zell-Zellinteraktion, aber auch bei der Signaltransduktion denkbar. rnDie EST-Sequenzierungen von ca. 4000 cDNA-Klonen können aber in der Regel nur einen Bruchteil der möglichen Transkripte des untersuchten Gewebes abdecken. Mit den neuen Sequenziertechnologien des „Next Generation Sequencing“ bestehen völlig neue Möglichkeiten, komplette Transkriptome mit sehr hoher Abdeckung zu sequenzieren und zu analysieren. Zur Unterstützung der EST-Daten und zur deutlichen Verbreiterung der Datenbasis wurde das Transkriptom der bovinen fötalen Wachstumsfuge sowohl mit Hilfe der Roche-454/FLX- als auch der Illumina-Solexa-Technologie sequenziert. Bei der Auswertung der ca. 40000 454- und 75 Millionen Illumina-Sequenzen wurden Verfahren zur allgemeinen Handhabung, der Qualitätskontrolle, dem „Clustern“, der Annotation und quantitativen Auswertung von großen Mengen an Sequenzdaten etabliert. Beim Vergleich der Hochdurchsatz Blast-Analysen im klassischen „Read-Count“-Ansatz mit dem erstellten EST-Expressionsprofil konnten gute Überstimmungen gezeigt werden. Abweichungen zwischen den einzelnen Methoden konnten nicht in allen Fällen methodisch erklärt werden. In einigen Fällen sind Korrelationen zwischen Transkriptlänge und „Read“-Verteilung zu erkennen. Obwohl schon simple Methoden wie die Normierung auf RPKM („reads per kilo base transkript per million mappable reads“) eine Verbesserung der Interpretation ermöglichen, konnten messtechnisch durch die Art der Sequenzierung bedingte systematische Fehler nicht immer ausgeräumt werden. Besonders wichtig ist daher die geeignete Normalisierung der Daten beim Vergleich verschieden generierter Datensätze. rnDie hier diskutierten Ergebnisse aus den verschiedenen Analysen zeigen die neuen Sequenziertechnologien als gute Ergänzung und potentiellen Ersatz für etablierte Methoden zur Genexpressionsanalyse.rn

Biochemische Charakterisierung der Zyklin-abhängigen Kinase 2,Aktivator-Komplexe des Parasiten Eimeria tenella sowie deren Nutzung in der Wirkstoffforschung

Der Stamm der Apicomplexa ist eine artenreiche Gruppe, der einzellige, meist obligat intrazelluläre Parasiten angehören, darunter auch erstzunehmende Krankheitserreger wie Plasmodium sp. sowie tierpathogene Vertreter wie Eimeria sp. und Theileria sp. Eimeria sp. verursacht die Kokzidiose beim Huhn. Diese Krankheit bedingt weltweite Verluste in der Geflügelindustrie von etwa 3 Milliarden US$ pro Jahr [DALLOUL & LILLEHOJ, 2006; SHIRLEY et al., 2007; LUCIUS & LOOS-FRANK, 2008]. Die Parasiten weisen eine hohe Resistenzbildungsrate gegen vorhandene Wirkstoffe auf. Zudem ist der Einsatz von Vakzinen mit Nebenwirkungen verbunden und für hohe Produktionskosten verantwortlich. Daher ist die Entwicklung von neuen, kostengünstigen und effektiven Kokzidiostatika eine dringend notwendige Herausforderung [KINNAIRD et al., 2004]. rnAuf Grund ihrer essentiellen, regulatorischen Funktion im eukaryotischen Zellzyklus sind Zyklin-abhängige Kinasen (CDKs) validierte Zielproteine [LEHNINGER et al., 2005]. Auch Eimeria tenella CDC2-related kinase 2 (EtCRK2) wurde bereits mittels des bekannten CDK-Inhibitors Flavopiridol als Zielprotein chemisch validiert [ENGELS et al., 2010]. Wie bei allen CDKs ist die Aktivität von EtCRK2 abhängig von der Bindung eines Aktivators, der zur Zyklin-Proteinfamilie gehört. Dieser natürliche EtCRK2-Aktivator war jedoch bislang nicht bekannt. Deshalb war ein Teil dieser Arbeit die Identifizierung des natürlichen EtCRK2-Aktivators. Bioinformatische Analysen identifizierten vier E. tenella Zyklin-ähnliche Proteine (EtCYC1, EtCYC3a, EtCYC3b und EtCYC4), die nah verwandt zu den Plasmodium falciparum-Zyklinen sind [ENGELS et al., 2010; SUÁREZ FERNÁNDEZ et al., bislang unveröffentlichte Daten]. Im Rahmen dieser Arbeit konnten zwei neue Aktivatoren identifiziert und biochemisch charakterisiert werden: der bekannte CDK-Aktivator XlRINGO und das neue E. tenella-Zyklin EtCYC3a. Nachdem der nicht-radioaktive TR-FRET-Assay für die EtCRK2 etabliert und optimiert wurde, konnte die EtCRK2-Aktivität im Komplex mit beiden Aktivatoren und weitere wichtige kinetische Parameter bestimmt werden.rnZusätzlich wurde dieser Assay zum in vitro Screening einer kommerziellen Chemikalienbibliothek auf die EtCRK2 eingesetzt, um potentielle Inhibitoren für EtCRK2 zu identifizieren. Dieses in vitro Screening gefolgt von einer in silico Hit-Anreicherung identifizierte 19 aktive Verbindungen für die durch EtCYC3a und XlRINGO aktivierte EtCRK2. Zudem wurden drei Struktur-Cluster definiert: Naphthoquinone, 8-Hydroxyquinoline und 2-Pyrimidinyl-aminopiperidin-propan-2-ole. rnDie aktivsten Vertreter von jedem Cluster wurden als Leitstrukturen ausgewählt und auf EtCRK2 und HsCDK2 getestet. Aufgrund ihrer inhibierenden Wirkung auf EtCRK2 stellen diese Verbindungen viel versprechende Leitstrukturen für die Entwicklung eines neuen Antikokzidiums dar. Hiermit konnte auch gezeigt werden, dass BES124764, der Vertreter des 2-Pyrimidinyl-aminopiperidin-propan-2-ol-Clusters, in der Lage ist, die EtCRK2 selektiv zu inhibieren. rnDaher wird BES124764 sowie einige Derivate in den Leitstruktur-Optimierungsprozess für die Auffindung eines neuen Arzneimittelkandidaten gegen Kokzidiose eingehen.rn

Development and application of an analytical method for the determination of total atmospheric biogenic non-methane organic carbon

Ein wesentlicher Anteil an organischem Kohlenstoff, der in der Atmosphäre vorhanden ist, wird als leichtflüchtige organische Verbindungen gefunden. Diese werden überwiegend durch die Biosphäre freigesetzt. Solche biogenen Emissionen haben einen großen Einfluss auf die chemischen und physikalischen Eigenschaften der Atmosphäre, indem sie zur Bildung von bodennahem Ozon und sekundären organischen Aerosolen beitragen. Um die Bildung von bodennahem Ozon und von sekundären organischen Aerosolen besser zu verstehen, ist die technische Fähigkeit zur genauen Messung der Summe dieser flüchtigen organischen Substanzen notwendig. Häufig verwendete Methoden sind nur auf den Nachweis von spezifischen Nicht-Methan-Kohlenwasserstoffverbindungen fokussiert. Die Summe dieser Einzelverbindungen könnte gegebenenfalls aber nur eine Untergrenze an atmosphärischen organischen Kohlenstoffkonzentrationen darstellen, da die verfügbaren Methoden nicht in der Lage sind, alle organischen Verbindungen in der Atmosphäre zu analysieren. Einige Studien sind bekannt, die sich mit der Gesamtkohlenstoffbestimmung von Nicht-Methan-Kohlenwasserstoffverbindung in Luft beschäftigt haben, aber Messungen des gesamten organischen Nicht-Methan-Verbindungsaustauschs zwischen Vegetation und Atmosphäre fehlen. Daher untersuchten wir die Gesamtkohlenstoffbestimmung organische Nicht-Methan-Verbindungen aus biogenen Quellen. Die Bestimmung des organischen Gesamtkohlenstoffs wurde durch Sammeln und Anreichern dieser Verbindungen auf einem festen Adsorptionsmaterial realisiert. Dieser erste Schritt war notwendig, um die stabilen Gase CO, CO2 und CH4 von der organischen Kohlenstofffraktion zu trennen. Die organischen Verbindungen wurden thermisch desorbiert und zu CO2 oxidiert. Das aus der Oxidation entstandene CO2 wurde auf einer weiteren Anreicherungseinheit gesammelt und durch thermische Desorption und anschließende Detektion mit einem Infrarot-Gasanalysator analysiert. Als große Schwierigkeiten identifizierten wir (i) die Abtrennung von CO2 aus der Umgebungsluft von der organischen Kohlenstoffverbindungsfaktion während der Anreicherung sowie (ii) die Widerfindungsraten der verschiedenen Nicht-Methan-Kohlenwasserstoff-verbindungen vom Adsorptionsmaterial, (iii) die Wahl des Katalysators sowie (iiii) auftretende Interferenzen am Detektor des Gesamtkohlenstoffanalysators. Die Wahl eines Pt-Rd Drahts als Katalysator führte zu einem bedeutenden Fortschritt in Bezug auf die korrekte Ermittlung des CO2-Hintergrund-Signals. Dies war notwendig, da CO2 auch in geringen Mengen auf der Adsorptionseinheit während der Anreicherung der leichtflüchtigen organischen Substanzen gesammelt wurde. Katalytische Materialien mit hohen Oberflächen stellten sich als unbrauchbar für diese Anwendung heraus, weil trotz hoher Temperaturen eine CO2-Aufnahme und eine spätere Abgabe durch das Katalysatormaterial beobachtet werden konnte. Die Methode wurde mit verschiedenen leichtflüchtigen organischen Einzelsubstanzen sowie in zwei Pflanzenkammer-Experimenten mit einer Auswahl an VOC-Spezies getestet, die von unterschiedlichen Pflanzen emittiert wurden. Die Pflanzenkammer-messungen wurden durch GC-MS und PTR-MS Messungen begleitet. Außerdem wurden Kalibrationstests mit verschiedenen Einzelsubstanzen aus Permeations-/Diffusionsquellen durchgeführt. Der Gesamtkohlenstoffanalysator konnte den tageszeitlichen Verlauf der Pflanzenemissionen bestätigen. Allerdings konnten Abweichungen für die Mischungsverhältnisse des organischen Gesamtkohlenstoffs von bis zu 50% im Vergleich zu den begleitenden Standardmethoden beobachtet werden.