Simcluster: clustering enumeration gene expression data on the simplex space

Abstract Background Transcript enumeration methods such as SAGE, MPSS, and sequencing-by-synthesis EST "digital northern", are important high-throughput techniques for digital gene expression measurement. As other counting or voting processes, these measurements constitute compositional data exhibiting properties particular to the simplex space where the summation of the components is constrained. These properties are not present on regular Euclidean spaces, on which hybridization-based microarray data is often modeled. Therefore, pattern recognition methods commonly used for microarray data analysis may be non-informative for the data generated by transcript enumeration techniques since they ignore certain fundamental properties of this space. Results Here we present a software tool, Simcluster, designed to perform clustering analysis for data on the simplex space. We present Simcluster as a stand-alone command-line C package and as a user-friendly on-line tool. Both versions are available at: http://xerad.systemsbiology.net/simcluster. Conclusion Simcluster is designed in accordance with a well-established mathematical framework for compositional data analysis, which provides principled procedures for dealing with the simplex space, and is thus applicable in a number of contexts, including enumeration-based gene expression data.

Identification of unannotated exons of low abundance transcripts in Drosophila melanogaster and cloning of a new serine protease gene upregulated upon injury

Abstract Background The sequencing of the D.melanogaster genome revealed an unexpected small number of genes (~ 14,000) indicating that mechanisms acting on generation of transcript diversity must have played a major role in the evolution of complex metazoans. Among the most extensively used mechanisms that accounts for this diversity is alternative splicing. It is estimated that over 40% of Drosophila protein-coding genes contain one or more alternative exons. A recent transcription map of the Drosophila embryogenesis indicates that 30% of the transcribed regions are unannotated, and that 1/3 of this is estimated as missed or alternative exons of previously characterized protein-coding genes. Therefore, the identification of the variety of expressed transcripts depends on experimental data for its final validation and is continuously being performed using different approaches. We applied the Open Reading Frame Expressed Sequence Tags (ORESTES) methodology, which is capable of generating cDNA data from the central portion of rare transcripts, in order to investigate the presence of hitherto unnanotated regions of Drosophila transcriptome. Results Bioinformatic analysis of 1,303 Drosophila ORESTES clusters identified 68 sequences derived from unannotated regions in the current Drosophila genome version (4.3). Of these, a set of 38 was analysed by polyA+ northern blot hybridization, validating 17 (50%) new exons of low abundance transcripts. For one of these ESTs, we obtained the cDNA encompassing the complete coding sequence of a new serine protease, named SP212. The SP212 gene is part of a serine protease gene cluster located in the chromosome region 88A12-B1. This cluster includes the predicted genes CG9631, CG9649 and CG31326, which were previously identified as up-regulated after immune challenges in genomic-scale microarray analysis. In agreement with the proposal that this locus is co-regulated in response to microorganisms infection, we show here that SP212 is also up-regulated upon injury. Conclusion Using the ORESTES methodology we identified 17 novel exons from low abundance Drosophila transcripts, and through a PCR approach the complete CDS of one of these transcripts was defined. Our results show that the computational identification and manual inspection are not sufficient to annotate a genome in the absence of experimentally derived data.

Genetic diversity of Leishmania amazonensis strains isolated in northeastern Brazil as revealed by DNA sequencing, PCR-based analyses and molecular karyotyping

Abstract Background Leishmania (Leishmania) amazonensis infection in man results in a clinical spectrum of disease manifestations ranging from cutaneous to mucosal or visceral involvement. In the present study, we have investigated the genetic variability of 18 L. amazonensis strains isolated in northeastern Brazil from patients with different clinical manifestations of leishmaniasis. Parasite DNA was analyzed by sequencing of the ITS flanking the 5.8 S subunit of the ribosomal RNA genes, by RAPD and SSR-PCR and by PFGE followed by hybridization with gene-specific probes. Results ITS sequencing and PCR-based methods revealed genetic heterogeneity among the L. amazonensis isolates examined and molecular karyotyping also showed variation in the chromosome size of different isolates. Unrooted genetic trees separated strains into different groups. Conclusion These results indicate that L. amazonensis strains isolated from leishmaniasis patients from northeastern Brazil are genetically diverse, however, no correlation between genetic polymorphism and phenotype were found.

Genes involved in thoracic exoskeleton formation during the pupal-to-adult molt in a social insect model, Apis mellifera

Background: The insect exoskeleton provides shape, waterproofing, and locomotion via attached somatic muscles. The exoskeleton is renewed during molting, a process regulated by ecdysteroid hormones. The holometabolous pupa transforms into an adult during the imaginal molt, when the epidermis synthe3sizes the definitive exoskeleton that then differentiates progressively. An important issue in insect development concerns how the exoskeletal regions are constructed to provide their morphological, physiological and mechanical functions. We used whole-genome oligonucleotide microarrays to screen for genes involved in exoskeletal formation in the honeybee thoracic dorsum. Our analysis included three sampling times during the pupal-to-adult molt, i.e., before, during and after the ecdysteroid-induced apolysis that triggers synthesis of the adult exoskeleton. Results: Gene ontology annotation based on orthologous relationships with Drosophila melanogaster genes placed the honeybee differentially expressed genes (DEGs) into distinct categories of Biological Process and Molecular Function, depending on developmental time, revealing the functional elements required for adult exoskeleton formation. Of the 1,253 unique DEGs, 547 were upregulated in the thoracic dorsum after apolysis, suggesting induction by the ecdysteroid pulse. The upregulated gene set included 20 of the 47 cuticular protein (CP) genes that were previously identified in the honeybee genome, and three novel putative CP genes that do not belong to a known CP family. In situ hybridization showed that two of the novel genes were abundantly expressed in the epidermis during adult exoskeleton formation, strongly implicating them as genuine CP genes. Conserved sequence motifs identified the CP genes as members of the CPR, Tweedle, Apidermin, CPF, CPLCP1 and Analogous-to-Peritrophins families. Furthermore, 28 of the 36 muscle-related DEGs were upregulated during the de novo formation of striated fibers attached to the exoskeleton. A search for cis-regulatory motifs in the 5′-untranslated region of the DEGs revealed potential binding sites for known transcription factors. Construction of a regulatory network showed that various upregulated CP- and muscle-related genes (15 and 21 genes, respectively) share common elements, suggesting co-regulation during thoracic exoskeleton formation. Conclusions: These findings help reveal molecular aspects of rigid thoracic exoskeleton formation during the ecdysteroid-coordinated pupal-to-adult molt in the honeybee.

Genetic diversity and population structure of Musa accessions in ex situ conservation

Abstract Background Banana cultivars are mostly derived from hybridization between wild diploid subspecies of Musa acuminata (A genome) and M. balbisiana (B genome), and they exhibit various levels of ploidy and genomic constitution. The Embrapa ex situ Musa collection contains over 220 accessions, of which only a few have been genetically characterized. Knowledge regarding the genetic relationships and diversity between modern cultivars and wild relatives would assist in conservation and breeding strategies. Our objectives were to determine the genomic constitution based on Internal Transcribed Spacer (ITS) regions polymorphism and the ploidy of all accessions by flow cytometry and to investigate the population structure of the collection using Simple Sequence Repeat (SSR) loci as co-dominant markers based on Structure software, not previously performed in Musa. Results From the 221 accessions analyzed by flow cytometry, the correct ploidy was confirmed or established for 212 (95.9%), whereas digestion of the ITS region confirmed the genomic constitution of 209 (94.6%). Neighbor-joining clustering analysis derived from SSR binary data allowed the detection of two major groups, essentially distinguished by the presence or absence of the B genome, while subgroups were formed according to the genomic composition and commercial classification. The co-dominant nature of SSR was explored to analyze the structure of the population based on a Bayesian approach, detecting 21 subpopulations. Most of the subpopulations were in agreement with the clustering analysis. Conclusions The data generated by flow cytometry, ITS and SSR supported the hypothesis about the occurrence of homeologue recombination between A and B genomes, leading to discrepancies in the number of sets or portions from each parental genome. These phenomenons have been largely disregarded in the evolution of banana, as the “single-step domestication” hypothesis had long predominated. These findings will have an impact in future breeding approaches. Structure analysis enabled the efficient detection of ancestry of recently developed tetraploid hybrids by breeding programs, and for some triploids. However, for the main commercial subgroups, Structure appeared to be less efficient to detect the ancestry in diploid groups, possibly due to sampling restrictions. The possibility of inferring the membership among accessions to correct the effects of genetic structure opens possibilities for its use in marker-assisted selection by association mapping.

Comparative performance evaluation of hepatitis C virus genotyping based on the 5' untranslated region versus partial sequencing of the NS5B region of brazilian patients with chronic hepatitis C

Background Genotyping of hepatitis C virus (HCV) has become an essential tool for prognosis and prediction of treatment duration. The aim of this study was to compare two HCV genotyping methods: reverse hybridization line probe assay (LiPA v.1) and partial sequencing of the NS5B region. Methods Plasma of 171 patients with chronic hepatitis C were screened using both a commercial method (LiPA HCV Versant, Siemens, Tarrytown, NY, USA) and different primers targeting the NS5B region for PCR amplification and sequencing analysis. Results Comparison of the HCV genotyping methods showed no difference in the classification at the genotype level. However, a total of 82/171 samples (47.9%) including misclassification, non-subtypable, discrepant and inconclusive results were not classified by LiPA at the subtype level but could be discriminated by NS5B sequencing. Of these samples, 34 samples of genotype 1a and 6 samples of genotype 1b were classified at the subtype level using sequencing of NS5B. Conclusions Sequence analysis of NS5B for genotyping HCV provides precise genotype and subtype identification and an accurate epidemiological representation of circulating viral strains.

Analyzing the dependence structure of microarray data: a copula–based approach

The main aim of this Ph.D. dissertation is the study of clustering dependent data by means of copula functions with particular emphasis on microarray data. Copula functions are a popular multivariate modeling tool in each field where the multivariate dependence is of great interest and their use in clustering has not been still investigated. The first part of this work contains the review of the literature of clustering methods, copula functions and microarray experiments. The attention focuses on the K–means (Hartigan, 1975; Hartigan and Wong, 1979), the hierarchical (Everitt, 1974) and the model–based (Fraley and Raftery, 1998, 1999, 2000, 2007) clustering techniques because their performance is compared. Then, the probabilistic interpretation of the Sklar’s theorem (Sklar’s, 1959), the estimation methods for copulas like the Inference for Margins (Joe and Xu, 1996) and the Archimedean and Elliptical copula families are presented. In the end, applications of clustering methods and copulas to the genetic and microarray experiments are highlighted. The second part contains the original contribution proposed. A simulation study is performed in order to evaluate the performance of the K–means and the hierarchical bottom–up clustering methods in identifying clusters according to the dependence structure of the data generating process. Different simulations are performed by varying different conditions (e.g., the kind of margins (distinct, overlapping and nested) and the value of the dependence parameter ) and the results are evaluated by means of different measures of performance. In light of the simulation results and of the limits of the two investigated clustering methods, a new clustering algorithm based on copula functions (‘CoClust’ in brief) is proposed. The basic idea, the iterative procedure of the CoClust and the description of the written R functions with their output are given. The CoClust algorithm is tested on simulated data (by varying the number of clusters, the copula models, the dependence parameter value and the degree of overlap of margins) and is compared with the performance of model–based clustering by using different measures of performance, like the percentage of well–identified number of clusters and the not rejection percentage of H0 on . It is shown that the CoClust algorithm allows to overcome all observed limits of the other investigated clustering techniques and is able to identify clusters according to the dependence structure of the data independently of the degree of overlap of margins and the strength of the dependence. The CoClust uses a criterion based on the maximized log–likelihood function of the copula and can virtually account for any possible dependence relationship between observations. Many peculiar characteristics are shown for the CoClust, e.g. its capability of identifying the true number of clusters and the fact that it does not require a starting classification. Finally, the CoClust algorithm is applied to the real microarray data of Hedenfalk et al. (2001) both to the gene expressions observed in three different cancer samples and to the columns (tumor samples) of the whole data matrix.

Synthesis, multiscale-multiphase characterization and applications of thiophene-based biohybrids

Biohybrid derivatives of π-conjugated materials are emerging as powerful tools to study biological events through the (opto)electronic variations of the π-conjugated moieties, as well as to direct and govern the self-assembly properties of the organic materials through the organization principles of the bio component. So far, very few examples of thiophene-based biohybrids have been reported. The aim of this Ph. D thesis has been the development of oligothiophene-oligonucleotide hybrid derivatives as tools, on one side, to detect DNA hybridisation events and, on the other, as model compounds to investigate thiophene-nucleobase interactions in the solid state. To obtain oligothiophene bioconjugates with the required high level of purity, we first developed new synthetic ecofriendly protocols for the synthesis of thiophene oligomers. Our innovative heterogeneous Suzuki coupling methodology, carried out in EtOH/water or isopropanol under microwave irradiation, allowed us to obtain alkyl substituted oligothiophenes and thiophene based co-oligomers in high yields and very short reaction times, free from residual metals and with improved film forming properties. These methodologies were subsequently applied in the synthesis of oligothiophene-oligonucleotide conjugates. Oligothiophene-5-labeled deoxyuridines were synthesized and incorporated into 19-meric oligonucletide sequences. We showed that the oligothiophene-labeled oligonucletide sequences obtained can be used as probes to detect a single nucleotide polymorphism (SNP) in complementary DNA target sequences. In fact, all the probes showed marked variations in emission intensity upon hybridization with a complementary target sequence. The observed variations in emitted light were comparable or even superior to those reported in similar studies, showing that the biohybrids can potentially be useful to develop biosensors for the detection of DNA mismatches. Finally, water-soluble, photoluminescent and electroactive dinucleotide-hybrid derivatives of quaterthiophene and quinquethiophene were synthesized. By means of a combination of spectroscopy and microscopy techniques, electrical characterizations, microfluidic measurements and theoretical calculations, we were able to demonstrate that the self-assembly modalities of the biohybrids in thin films are driven by the interplay of intra and intermolecular interactions in which the π-stacking between the oligothiophene and nucleotide bases plays a major role.

Identification of surface protein complexes of Streptococcus pyogenes through protein microarray technology

A systematic characterization of the composition and structure of the bacterial cell-surface proteome and its complexes can provide an invaluable tool for its comprehensive understanding. The knowledge of protein complexes composition and structure could offer new, more effective targets for a more specific and consequently effective immune response against a complex instead of a single protein. Large-scale protein-protein interaction screens are the first step towards the identification of complexes and their attribution to specific pathways. Currently, several methods exist for identifying protein interactions and protein microarrays provide the most appealing alternative to existing techniques for a high throughput screening of protein-protein interactions in vitro under reasonably straightforward conditions. In this study approximately 100 proteins of Group A Streptococcus (GAS) predicted to be secreted or surface exposed by genomic and proteomic approaches were purified in a His-tagged form and used to generate protein microarrays on nitrocellulose-coated slides. To identify protein-protein interactions each purified protein was then labeled with biotin, hybridized to the microarray and interactions were detected with Cy3-labelled streptavidin. Only reciprocal interactions, i. e. binding of the same two interactors irrespective of which of the two partners is in solid-phase or in solution, were taken as bona fide protein-protein interactions. Using this approach, we have identified 20 interactors of one of the potent toxins secreted by GAS and known as superantigens. Several of these interactors belong to the molecular chaperone or protein folding catalyst families and presumably are involved in the secretion and folding of the superantigen. In addition, a very interesting interaction was found between the superantigen and the substrate binding subunit of a well characterized ABC transporter. This finding opens a new perspective on the current understanding of how superantigens are modified by the bacterial cell in order to become major players in causing disease.

Kinetic and affinity analysis of hybridization reactions between PNA probes and DNA targets using surface plasmon field-enhanced fluorescence spectroscopy (SPFS)

Sequenz spezifische biomolekulare Analyseverfahren erweisen sich gerade im Hinblick auf das Humane Genom Projekt als äußerst nützlich in der Detektion von einzelnen Nukleotid Polymorphismen (SNPs) und zur Identifizierung von Genen. Auf Grund der hohen Anzahl von Basenpaaren, die zu analysieren sind, werden sensitive und effiziente Rastermethoden benötigt, welche dazu fähig sind, DNA-Proben in einer geeigneten Art und Weise zu bearbeiten. Die meisten Detektionsarten berücksichtigen die Interaktion einer verankerten Probe und des korrespondierenden Targets mit den Oberflächen. Die Analyse des kinetischen Verhaltens der Oligonukleotide auf der Sensoroberfläche ist infolgedessen von höchster Wichtigkeit für die Verbesserung bereits bekannter Detektions - Schemata. In letzter Zeit wurde die Oberflächen Plasmonen feld-verstärkte Fluoreszenz Spektroskopie (SPFS) entwickelt. Sie stellt eine kinetische Analyse - und Detektions - Methode dar, die mit doppelter Aufzeichnung, d.h. der Änderung der Reflektivität und des Fluoreszenzsignals, für das Interphasen Phänomen operiert. Durch die Verwendung von SPFS können Kinetikmessungen für die Hybridisierung zwischen Peptid Nukleinsäure (PNA), welche eine synthetisierte Nukleinsäure DNA imitiert und eine stabilere Doppelhelix formt, und DNA auf der Sensoroberfläche ausgeführt werden. Mittels einzel-, umfassend-, und titrations- Experimenten sowohl mit einer komplementär zusammenpassenden Sequenz als auch einer mismatch Sequenz können basierend auf dem Langmuir Modell die Geschwindigkeitskonstanten für die Bindungsreaktion des oligomer DNA Targets bzw. des PCR Targets zur PNA ermittelt werden. Darüber hinaus wurden die Einflüsse der Ionenstärke und der Temperatur für die PNA/DNA Hybridisierung in einer kinetischen Analyse aufgezeigt.

High frequency acoustics in colloid-based meso- and nanostructures by spontaneous Brillouin light scattering

Materials that can mold the flow of elastic waves of certain energy in certain directions are called phononic materials. The present thesis deals essentially with such phononic systems, which are structured in the mesoscale (<1 µm), and with their individual components. Such systems show interesting phononic properties in the hypersonic region, i.e., at frequencies in the GHz range. It is shown that colloidal systems are excellent model systems for the realization of such phononic materials. Therefore, different structures and particle architectures are investigated by Brillouin light scattering, the inelastic scattering of light by phonons.rnThe experimental part of this work is divided into three chapters: Chapter 4 is concerned with the localized mechanical waves in the individual spherical colloidal particles, i.e., with their resonance- or eigenvibrations. The investigation of these vibrations with regard to the environment of the particles, their chemical composition, and the influence of temperature on nanoscopically structured colloids allows novel insights into the physical properties of colloids at small length scales. Furthermore, some general questions concerning light scattering on such systems, in dispute so far, are convincingly addressed.rnChapter 5 is a study of the traveling of mechanical waves in colloidal systems, consisting of ordered and disordered colloids in liquid or elastic matrix. Such systems show acoustic band gaps, which can be explained geometrically (Bragg gap) or by the interaction of the acoustic band with the eigenvibrations of the individual spheres (hybridization gap).rnWhile the latter has no analogue in photonics, the presence of strong phonon scatterers, when a large elastic mismatch between the composite components exists, can largely impact phonon propagation in analogy to strong multiple light scattering systems. The former is exemplified in silica based phononic structures that opens the door to new ways of sound propagation manipulation.rnChapter 6 describes the first measurement of the elastic moduli in newly fabricated by physical vapor deposition so-called ‘stable organic glasses’. rnIn brief, this thesis explores novel phenomena in colloid-based hypersonic phononic structures, utilizing a versatile microfabrication technique along with different colloid architectures provided by material science, and applying a non-destructive optical experimental tool to record dispersion diagrams.rn

Multiplex-Genotypisierung forensisch relevanter SNPs unter Verwendung von Microarrays auf chemisch aktivierten Glasflächen

Die Analyse tandem-repetitiver DNA-Sequenzen hat einen festen Platz als genetisches Typisierungsverfahren in den Breichen der stammesgeschichtlichen Untersuchung, der Verwandtschaftsanalyse und vor allem in der forensischen Spurenkunde, bei der es durch den Einsatz der Multiplex-PCR-Analyse von Short Tandem Repeat-Systemen (STR) zu einem Durchbruch bei der Aufklärung und sicheren Zuordnung von biologischen Tatortspuren kam. Bei der Sequenzierung des humanen Genoms liegt ein besonderes Augenmerk auf den genetisch polymorphen Sequenzvariationen im Genom, den SNPs (single nucleotide polymorphisms). Zwei ihrer Eigenschaften – das häufige Vorkommen innerhalb des humanen Genoms und ihre vergleichbar geringe Mutationsrate – machen sie zu besonders gut geeigneten Werkzeugen sowohl für die Forensik als auch für die Populationsgenetik.rnZum Ziel des EU-Projekts „SNPforID“, aus welchem die vorliegende Arbeit entstanden ist, wurde die Etablierung neuer Methoden zur validen Typisierung von SNPs in Multiplexverfahren erklärt. Die Berücksichtigung der Sensitivität bei der Untersuchung von Spuren sowie die statistische Aussagekraft in der forensischen Analyse standen dabei im Vordergrund. Hierfür wurden 52 autosomale SNPs ausgewählt und auf ihre maximale Individualisierungsstärke hin untersucht. Die Untersuchungen der ersten 23 selektierten Marker stellen den ersten Teil der vorliegenden Arbeit dar. Sie umfassen die Etablierung des Multiplexverfahrens und der SNaPshot™-Typisierungsmethode sowie ihre statistische Auswertung. Die Ergebnisse dieser Untersuchung sind ein Teil der darauf folgenden, in enger Zusammenarbeit der Partnerlaboratorien durchgeführten Studie der 52-SNP-Multiplexmethode. rnEbenfalls im Rahmen des Projekts und als Hauptziel der Dissertation erfolgten Etablierung und Evaluierung des auf der Microarray-Technologie basierenden Verfahrens der Einzelbasenverlängerung auf Glasobjektträgern. Ausgehend von einer begrenzten DNA-Menge wurde hierbei die Möglichkeit der simultanen Hybridisierung einer möglichst hohen Anzahl von SNP-Systemen untersucht. Die Auswahl der hierbei eingesetzten SNP-Marker erfolgte auf der Basis der Vorarbeiten, die für die Etablierung des 52-SNP-Multiplexes erfolgreich durchgeführt worden waren. rnAus einer Vielzahl von Methoden zur Genotypisierung von biallelischen Markern hebt sich das Assay in seiner Parallelität und der Einfachheit des experimentellen Ansatzes durch eine erhebliche Zeit- und Kostenersparnis ab. In der vorliegenden Arbeit wurde das „array of arrays“-Prinzip eingesetzt, um zur gleichen Zeit unter einheitlichen Versuchsbedingungen zwölf DNA-Proben auf einem Glasobjektträger zu typisieren. Auf der Basis von insgesamt 1419 typisierten Allelen von 33 Markern konnte die Validierung mit einem Typisierungserfolg von 86,75% abgeschlossen werden. Dabei wurden zusätzlich eine Reihe von Randbedingungen in Bezug auf das Sonden- und Primerdesign, die Hybridisierungsbedingungen sowie physikalische Parameter der laserinduzierten Fluoreszenzmessung der Signale ausgetestet und optimiert. rn

Generierung und Charakterisierung von in-vitro- und in- vivo-Modellsystemen zur Untersuchung des Skelettsystems

Die Entstehung und Aufrechterhaltung von Knorpel- und Knochengewebe wird durch eine Vielzahl von hemmenden oder fördernden Faktoren hoch komplex reguliert, wobei die dabei involvierten physiologischen Prozesse bisher nur teilweise verstanden werden. Auch die Ursachen sowohl degenerativer Erkrankungen, aber auch durch Mutationen im FGFR3-Gen verursachter Chondrodysplasien sind in ihrer Ätiopathogenese noch nicht vollständig erforscht. In dieser Arbeit wurden verschiedene experimentelle Ansätze verfolgt, die zur weiteren Aufklärung der Pathophysiologie zweier unterschiedlicher Skeletterkrankungen beitragen sollten.rnEin relevantes Charakteristikum der degenerativen Gelenkserkrankung Osteoarthrose ist der Verlust an Aggrekan, hauptverantwortlich verursacht durch die Aggrekanase ADAMTS5. Es wurde ein Tiermodell generiert, bei dem gezielt mittels des Tet-ON-Systems die Aggrekanase mAdamts-5 überexprimiert werden kann. Nach Konstruktherstellung und Generierung als auch Charakterisierung des in vitro-Modells wurde das Tiermodell hergestellt, um die Folgen der Überexpression im Hinblick auf einen verstärkten Aggrekanabbau im Knorpel der Mäuse zu analysieren. Nach initialer Charakterisierung auf Induzierbarkeit zeigte eine Gründerlinie eine induzierbare transgene mAdamts5-Expression. Die Überprüfung auf Knorpelspezifität zeigte, sowohl embryonal als auch im adulten Tier, dass sich der verwendete, zusammengesetzte Kollagen-Typ II Promotor wie der endogene verhielt und somit funktional war. Nach Doxyzyklininduktion wurde bei der optimalen Dosis von 1 mg/ml im Vergleich zum induzierten Wildtyp-Tier eine 15%ige Abnahme des Gesamt-Glykosamino-glykan(GAG)-Gehaltes und eine um 120% erhöhte GAG-Abgabe ins Medium detektiert, was eine verstärkte Spaltung von Aggrekan bedeutete. Die transgene Aggrekanase wurde überexprimiert und spaltete verstärkt Aggrekan. Da aufgrund der histologischen Untersuchungen jedoch keine Knorpelerosionen feststellbar waren, konnte im Umkehrschluss gefolgert werden, dass der Knorpel einen Verlust an Glykosaminoglykanen bis zu einer gewissen Grenze tolerieren kann. Mit dem generierten und charakterisierten Tiermodell konnte mit dem Verlust an GAG eine Osteoarthrose-ähnliche Situation simuliert werden, insbesondere im Hinblick auf frühe Stadien der Erkrankung, bei denen noch keine makroskopisch eindeutig sichtbare Knorpelerosionen vorliegen. rnIm zweiten Teil der Arbeit wurden Zellkulturexperimente zur weiteren Aufklärung FGFR3-regulierter Prozesse durchgeführt. Nach Generierung und Verifizierung der stabilen Zelllinien, die mittels des Tet-ON-Systems das FGFR3-Gen mit jeweils einer Chondrodysplasie-assoziierten Mutation (Achondroplasie-Mutation G380R, Thanatophore Dysplasie Typ II-Mutation K650E) induzierbar überexprimieren, wurden die Auswirkungen der zwei verschiedenen Mutationen anhand bereits beschriebener Signalwege untersucht. Über die Rekrutierung des ERK-Signalweges konnte bei beiden Zelllinien die Funktionalität nachgewiesen werden, wobei die Zelllinie mit der einen schwereren Phänotyp beim Menschen verursachenden TDII-Mutation eine stärkere Aktivierung zeigte. Bei der Aktivierung von STAT1 wies nur die TDII-Zelllinie eine Phosphorylierung auf, nicht jedoch die ACH-Zelllinie; dies deckte sich mit bereits publizierten Untersuchungen. Beide Kaskaden zeigten eine unterschiedliche Signalantwort aufgrund der verschiedenen Mutationen. Des Weiteren konnte eine unterschiedliche MMP13-Zielgenexpression nachgewiesen werden, wobei lediglich die ACH-Zelllinie eine erhöhte MMP13-Expression (6-fach) zeigte. Zur Identifizierung neuer involvierter FGFR3-Zielgene wurde die differentielle Genexpression der TDII-Zelllinie im Vergleich induziert/nicht induziert mittels Microarray-Hybridisierung untersucht. Als interessantes Zielgen fiel STC1 auf, welches ebenfalls eine Rolle in der Chondrogenese spielt und bislang nicht mit FGFR3 in Verbindung gebracht wurde. Es konnte jedoch nur auf RNA-Ebene eine Regulation nachgewiesen werden. Nachfolgend durchgeführte transiente Experimente zeigten, dass die Wildtyp-Variante von FGFR3 möglicherweise eine Funktion in der Sekretion des Proteins STC1 hat und dass durch die beiden eingefügten Mutationen (ACH, TDII) diese aufgehoben ist. Der Einfluss von FGFR3 auf die Sekretion von STC1 stellt ein neues Ergebnis dar, insbesondere auch die Auswirkungen der beiden für die unterschiedlichen Krankheitsbilder stehenden Mutationen. Welche Relevanz allerdings die STC1-Sekretion im Rahmen FGFR3-assoziierter Erkrankungen hat, kann nicht eindeutig beurteilt werden. Weitere Faktoren aus dem hoch komplexen Zusammenspiel während der Knorpel/Knochenentwicklung müssen untersucht werden, um eine definitive Einordnung zu ermöglichen.

Analisi fosfo-proteomica di campioni di tumore: il problema della stratificazione dei pazienti ed eterogeneità intra-tumorale nell'era della terapia personalizzata

Nella presente tesi indaghiamo la potenzialità di LCM e Reverse Phase Protein microarray negli studi clinici. Si analizza la possibilità di creare una bio banca con line cellular primarie, al fine di conseguire drug test di sensibilità prima di decidere il trattamento da somministrare ai singoli pazienti. Sono stati ottenuti profili proteomici da biopsie pre e post terapia. I risultati dimostrano che questa piattaforma mostra il meccanismo di resistenza acquisito durante la terapia biologica. Questo ci ha portato ad analizzare una possibile stratificazione per pazienti con mCRC . I dati hanno rivelato distinti pathway di attivazione tra metastasi resecabile e non resecabili. I risultati mostrano inoltre due potenziali bersagli farmacologici. Ma la valutazione dell'intero tumore tramite singole biopsie sembra essere un problema a causa dell’eterogeneità intratumorale a livello genomico. Abbiamo indagato questo problema a livello dell'architettura del segnale in campioni di mCRC e ccRCC . I risultati indicano una somiglianza complessiva nei profili proteomici all'interno dello stesso tumore. Considerando che una singola biopsia è rappresentativa di un intera lesione , abbiamo studiato la possibilità di creare linee di cellule primarie, per valutare il profilo molecolare di ogni paziente. Fino ad oggi non c'era un protocollo per creare linee cellulari immortalizzate senza alcuna variazione genetica . abbiamo cosiderato, però, l'approccio innovativo delle CRCs. Ad oggi , non è ancora chiaro se tali cellule mimino il profilo dei tessuti oppure I passaggi in vitro modifichino i loro pathways . Sulla base di un modello di topo , i nostri dati mostrano un profilo di proteomica simile tra le linee di cellule e tessuti di topo LCM. In conclusione, i nostri dati dimostrano l'utilità della piattaforma LCM / RPPA nella sperimentazione clinica e la possibilità di creare una bio - banca di linee cellulari primarie, per migliorare la decisione del trattamento.

Entwicklung und Optimierung eines Mikroarray zur Erfassung der genetischen Prädisposition von Atherosklerose

Die Entstehung der Atherosklerose ist ein komplexer Vorgang, der sich durch Ablagerung von Lipiden an der Gefäßwand sowie durch immunologische und inflammatorische Prozesse auszeichnet. Neben konventionellen Risikofaktoren wie Alter, Geschlecht, Rauchen, HDL-Cholesterin, Diabetes mellitus und einer positiven Familienanamnese werden zur Bestimmung des atherosklerotischen Risikos neue Biomarker der inflammatorischen Reaktion untersucht. Ziel dieser Arbeit war die Entwicklung einer Methode zur Diagnostik des Atheroskleroserisikos. Es wurde eine neuartige Chip-Technologie eingesetzt, um das Risiko für eine potentiell drohende atherosklerotische Erkrankung abzuschätzen. Dabei wurde ausgenutzt, dass molekulare Veränderungen in Genen bestimmte Krankheitsbilder auslösen können. rnEs wurde ein molekularbiologischer Test entwickelt, welcher die Untersuchung von genetischen Variationen aus genomischer DNA ermöglicht. Dafür fand die Entwicklung einer Multiplex-PCR statt, deren Produkt mit der Chip-Technologie untersucht werden kann. Dazu wurden auf einem Mikroarray Sonden immobilisiert, mit deren Hilfe genspezifische Mutationen nachgewiesen werden können. So wurden mehrere Gene mit einem geringen Aufwand gleichzeitig getestet. rnDie Auswahl der entsprechenden Marker erfolgte anhand einer Literaturrecherche von randomisierten und kontrollierten klinischen Studien. Der Mikroarray konnte für zwölf Variationen in den acht Genen Prostaglandinsynthase-1 (PTGS1), Endotheliale NO-Synthase (eNOS), Faktor V (F5), 5,10-Methylentetrahydrofolsäure-Reduktase (MTHFR), Cholesterinester-Transferprotein (CETP), Apolipoprotein E (ApoE), Prothrombin (F2) und Lipoproteinlipase (LPL) erfolgreich etabliert werden. Die Präzision des Biochips wurde anhand der Echtzeit-PCR und der Sequenzierung nachgewiesen. rnDer innovative Mikroarray ermöglicht eine einfache, schnelle und kosteneffektive Genotypisierung von wichtigen Allelen. Viele klinisch relevante Variationen für Atherosklerose können nun in nur einem Test überprüft werden. Zukünftige Studien müssen zeigen, ob die Methode eine Vorhersage über den Ausbruch der Erkrankung und eine gezielte Therapie ermöglicht. Dies wäre ein erster Schritt in Richtung präventive und personalisierter Medizin für Atherosklerose.rn