Riboswitches : le cas des atténuateurs de la transcription du type terminateur/antiterminateur chez les bactéries

Il est essentiel pour chaque organisme d’avoir la possibilité de réguler ses fonctions afin de permettre sa survie et d’améliorer sa capacité de se reproduire en divers habitats. Avec l’information disponible, il semble que les organismes consacrent une partie assez importante de leur matériel génétique à des fonctions de régulation. On peut envisager que certains mécanismes de régulation ont persisté dans le temps parce qu’ils remplissent bien leurs rôles. Les premières études sur les procaryotes ont indiqué qu’il y avait peu de mécanismes de régulation exerçant le contrôle des gènes, mais il a été démontré par la suite qu’une variété de ces mécanismes est utilisée pour la régulation de gènes et d’opérons. En particulier, les opérons bactériens impliqués dans la biosynthèse des acides aminés, l’ARNt synthétase, la dégradation des acides aminés, les protéines ribosomales et l’ARN ribosomal font l’objet d’un contrôle par l’atténuation de la transcription. Ce mécanisme d’atténuation de la transcription diffère d’autres mécanismes pour la génération de deux structures différentes de l’ARNm, où l’une de ces structures réprime le gène en aval, et l’autre permet de continuer la transcription/traduction. Dans le cadre de cette recherche, nous nous sommes intéressé au mécanisme d’atténuation de la transcription chez les procaryotes où aucune molécule ne semble intervenir comme facteur de régulation, en me concentrant sur la régulation des opérons bactériens. Le but principal de ce travail est de présenter une nouvelle méthode de recherche des riborégulateurs qui combine la recherche traditionnelle des riborégulateurs avec la recherche structurale. En incorporant l’étude du repliement de l’ARNm, nous pouvons mieux identifier les atténuateurs répondant à ce type de mécanisme d’atténuation. Ce mémoire est divisé en quatre chapitres. Le premier chapitre présente une revue de la littérature sur l’ARN et un survol sur les mécanismes de régulation de l’expression génétique chez les procaryotes. Les chapitres 2 et 3 sont consacrés à la méthodologie utilisée dans cette recherche et à l’implémentation du logiciel TA-Search. Enfin, le chapitre 4 expose les conclusions et les applications potentielles de la méthode.

Regulation of gene expression in the dinoflagellate Lingulodinium polyedrum

Les dinoflagellés sont des eucaryotes unicellulaires que l’on retrouve autant en eau douce qu’en milieu marin. Ils sont particulièrement connus pour causer des fleurs d’algues toxiques nommées ‘marée-rouge’, ainsi que pour leur symbiose avec les coraux et pour leur importante contribution à la fixation du carbone dans les océans. Au point de vue moléculaire, ils sont aussi connus pour leur caractéristiques nucléaires uniques, car on retrouve généralement une quantité immense d’ADN dans leurs chromosomes et ceux-ci sont empaquetés et condensés sous une forme cristalline liquide au lieu de nucléosomes. Les gènes encodés par le noyau sont souvent présents en multiples copies et arrangés en tandem et aucun élément de régulation transcriptionnelle, y compris la boite TATA, n’a encore été observé. L’organisation unique de la chromatine des dinoflagellés suggère que différentes stratégies sont nécessaires pour contrôler l’expression des gènes de ces organismes. Dans cette étude, j’ai abordé ce problème en utilisant le dinoflagellé photosynthétique Lingulodinium polyedrum comme modèle. L. polyedrum est d’un intérêt particulier, car il a plusieurs rythmes circadiens (journalier). À ce jour, toutes les études sur l’expression des gènes lors des changements circadiens ont démontrées une régulation à un niveau traductionnel. Pour mes recherches, j’ai utilisé les approches transcriptomique, protéomique et phosphoprotéomique ainsi que des études biochimiques pour donner un aperçu de la mécanique de la régulation des gènes des dinoflagellés, ceci en mettant l’accent sur l’importance de la phosphorylation du système circadien de L. polyedrum. L’absence des protéines histones et des nucléosomes est une particularité des dinoflagellés. En utilisant la technologie RNA-Seq, j’ai trouvé des séquences complètes encodant des histones et des enzymes modifiant les histones. L polyedrum exprime donc des séquences conservées codantes pour les histones, mais le niveau d’expression protéique est plus faible que les limites de détection par immunodétection de type Western. Les données de séquençage RNA-Seq ont également été utilisées pour générer un transcriptome, qui est une liste des gènes exprimés par L. polyedrum. Une recherche par homologie de séquences a d’abord été effectuée pour classifier les transcrits en diverses catégories (Gene Ontology; GO). Cette analyse a révélé une faible abondance des facteurs de transcription et une surprenante prédominance, parmi ceux-ci, des séquences à domaine Cold Shock. Chez L. polyedrum, plusieurs gènes sont répétés en tandem. Un alignement des séquences obtenues par RNA-Seq avec les copies génomiques de gènes organisés en tandem a été réalisé pour examiner la présence de transcrits polycistroniques, une hypothèse formulée pour expliquer le manque d’élément promoteur dans la région intergénique de la séquence de ces gènes. Cette analyse a également démontré une très haute conservation des séquences codantes des gènes organisés en tandem. Le transcriptome a également été utilisé pour aider à l’identification de protéines après leur séquençage par spectrométrie de masse, et une fraction enrichie en phosphoprotéines a été déterminée comme particulièrement bien adapté aux approches d’analyse à haut débit. La comparaison des phosphoprotéomes provenant de deux périodes différentes de la journée a révélée qu’une grande partie des protéines pour lesquelles l’état de phosphorylation varie avec le temps est reliées aux catégories de liaison à l’ARN et de la traduction. Le transcriptome a aussi été utilisé pour définir le spectre des kinases présentes chez L. polyedrum, qui a ensuite été utilisé pour classifier les différents peptides phosphorylés qui sont potentiellement les cibles de ces kinases. Plusieurs peptides identifiés comme étant phosphorylés par la Casein Kinase 2 (CK2), une kinase connue pour être impliquée dans l’horloge circadienne des eucaryotes, proviennent de diverses protéines de liaison à l’ARN. Pour évaluer la possibilité que quelques-unes des multiples protéines à domaine Cold Shock identifiées dans le transcriptome puissent moduler l’expression des gènes de L. polyedrum, tel qu’observé chez plusieurs autres systèmes procaryotiques et eucaryotiques, la réponse des cellules à des températures froides a été examinée. Les températures froides ont permis d’induire rapidement un enkystement, condition dans laquelle ces cellules deviennent métaboliquement inactives afin de résister aux conditions environnementales défavorables. Les changements dans le profil des phosphoprotéines seraient le facteur majeur causant la formation de kystes. Les phosphosites prédits pour être phosphorylés par la CK2 sont la classe la plus fortement réduite dans les kystes, une découverte intéressante, car le rythme de la bioluminescence confirme que l’horloge a été arrêtée dans le kyste.

Identification de déterminants impliqués dans la différenciation des cellules souches embryonnaires

Les cellules souches ont attiré l’attention du public ces dernières années, grâce non-seulement à leur utilisation comme thérapies visant à s’attaquer à certains types de cancers, mais aussi en relation avec leur potentiel dans le domaine de la médecine regénérative. Il est établi que le destin cellulaire des cellules souches embryonnaires (ESC) est régulé de façon intensive par un groupe de facteur clés agissant sur leur pluripotence. Il est néanmoins envisageable que certains déterminants influençant l’auto-renouvellement et la différenciation de ces cellules soient toujours inconnus. Afin de tester cette hypothèse, nous avons généré, en utilisant une méthode par infections virales, une collection de ESC contenant des délétions chromosomales chevauchantes que nous avons baptisée DelES (Deletion in ES cells). Cette librairie contient plus de 1000 clones indépendants dont les régions délétées couvrent environ 25% du génome murin. À l’aide de cette ressource, nous avons conduit un criblage de formation de corps embryoïdes (EB), démontrant que plusieurs clones délétés avaient un phénotype de différenciation anormal. Nos études de complémentation sur un groupe de clones ont par la suite permis l’identification de Rps14 - un gène codant pour une protéine ribosomale (RP) comme étant haploinsuffisant pour la formation de EB. Dans un deuxième temps, l’analyse approfondie des résultats de notre crible a permis d’identifier un groupe de gènes codants pour des RP qui semblent essentiels pour la différenciation des ESC, mais dispensables pour leur auto-renouvellement. De manière intéressante, les phénotypes anormaux de formation en EB les plus marqués sont associés à des délétions de RP qui se retrouvent au site de sortie des ARN messagers (ARNm) du ribosome, soit Rps5, Rps14 et Rps28. Étonnament, alors qu’un débalancement des RP conduit généralement à une réponse de type p53, l’haploinsuffisance de ces trois gènes ne peut être renversée par une simple réduction des niveaux d’expression de ce gène suppresseur de tumeurs. Finalement, nos études de profilage polysomal et de séquençage à haut-débit montrent une signature spécifique de gènes liés au mésoderme chez un clone hétérozygote pour Rps5, suggérant ainsi une explication au phénotype de différenciation p53-indépendant identifié chez ces ESC. Nos travaux rapportent donc la création d’une ressource intéressante de génomique fonctionnelle qui a permis de mettre à jour le rôle essentiel que jouent les RP dans le processus de formation de EB. Nos résultats permettent aussi de documenter une réponse p53-indépendante suite à un débalancement de RP dans un contexte opposant l’auto-renouvellement et la différenciation des ESC.

Mean Squared Residue Based Biclustering Algorithms for the Analysis of Gene Expression Data

Computational Biology is the research are that contributes to the analysis of biological data through the development of algorithms which will address significant research problems.The data from molecular biology includes DNA,RNA ,Protein and Gene expression data.Gene Expression Data provides the expression level of genes under different conditions.Gene expression is the process of transcribing the DNA sequence of a gene into mRNA sequences which in turn are later translated into proteins.The number of copies of mRNA produced is called the expression level of a gene.Gene expression data is organized in the form of a matrix. Rows in the matrix represent genes and columns in the matrix represent experimental conditions.Experimental conditions can be different tissue types or time points.Entries in the gene expression matrix are real values.Through the analysis of gene expression data it is possible to determine the behavioral patterns of genes such as similarity of their behavior,nature of their interaction,their respective contribution to the same pathways and so on. Similar expression patterns are exhibited by the genes participating in the same biological process.These patterns have immense relevance and application in bioinformatics and clinical research.Theses patterns are used in the medical domain for aid in more accurate diagnosis,prognosis,treatment planning.drug discovery and protein network analysis.To identify various patterns from gene expression data,data mining techniques are essential.Clustering is an important data mining technique for the analysis of gene expression data.To overcome the problems associated with clustering,biclustering is introduced.Biclustering refers to simultaneous clustering of both rows and columns of a data matrix. Clustering is a global whereas biclustering is a local model.Discovering local expression patterns is essential for identfying many genetic pathways that are not apparent otherwise.It is therefore necessary to move beyond the clustering paradigm towards developing approaches which are capable of discovering local patterns in gene expression data.A biclusters is a submatrix of the gene expression data matrix.The rows and columns in the submatrix need not be contiguous as in the gene expression data matrix.Biclusters are not disjoint.Computation of biclusters is costly because one will have to consider all the combinations of columans and rows in order to find out all the biclusters.The search space for the biclustering problem is 2 m+n where m and n are the number of genes and conditions respectively.Usually m+n is more than 3000.The biclustering problem is NP-hard.Biclustering is a powerful analytical tool for the biologist.The research reported in this thesis addresses the problem of biclustering.Ten algorithms are developed for the identification of coherent biclusters from gene expression data.All these algorithms are making use of a measure called mean squared residue to search for biclusters.The objective here is to identify the biclusters of maximum size with the mean squared residue lower than a given threshold. All these algorithms begin the search from tightly coregulated submatrices called the seeds.These seeds are generated by K-Means clustering algorithm.The algorithms developed can be classified as constraint based,greedy and metaheuristic.Constarint based algorithms uses one or more of the various constaints namely the MSR threshold and the MSR difference threshold.The greedy approach makes a locally optimal choice at each stage with the objective of finding the global optimum.In metaheuristic approaches particle Swarm Optimization(PSO) and variants of Greedy Randomized Adaptive Search Procedure(GRASP) are used for the identification of biclusters.These algorithms are implemented on the Yeast and Lymphoma datasets.Biologically relevant and statistically significant biclusters are identified by all these algorithms which are validated by Gene Ontology database.All these algorithms are compared with some other biclustering algorithms.Algorithms developed in this work overcome some of the problems associated with the already existing algorithms.With the help of some of the algorithms which are developed in this work biclusters with very high row variance,which is higher than the row variance of any other algorithm using mean squared residue, are identified from both Yeast and Lymphoma data sets.Such biclusters which make significant change in the expression level are highly relevant biologically.

Soft Computing Approach for Optimization of siRNA Efficiency Prediction for Post-transcriptional Gene Silencing

Post-transcriptional gene silencing by RNA interference is mediated by small interfering RNA called siRNA. This gene silencing mechanism can be exploited therapeutically to a wide variety of disease-associated targets, especially in AIDS, neurodegenerative diseases, cholesterol and cancer on mice with the hope of extending these approaches to treat humans. Over the recent past, a significant amount of work has been undertaken to understand the gene silencing mediated by exogenous siRNA. The design of efficient exogenous siRNA sequences is challenging because of many issues related to siRNA. While designing efficient siRNA, target mRNAs must be selected such that their corresponding siRNAs are likely to be efficient against that target and unlikely to accidentally silence other transcripts due to sequence similarity. So before doing gene silencing by siRNAs, it is essential to analyze their off-target effects in addition to their inhibition efficiency against a particular target. Hence designing exogenous siRNA with good knock-down efficiency and target specificity is an area of concern to be addressed. Some methods have been developed already by considering both inhibition efficiency and off-target possibility of siRNA against agene. Out of these methods, only a few have achieved good inhibition efficiency, specificity and sensitivity. The main focus of this thesis is to develop computational methods to optimize the efficiency of siRNA in terms of “inhibition capacity and off-target possibility” against target mRNAs with improved efficacy, which may be useful in the area of gene silencing and drug design for tumor development. This study aims to investigate the currently available siRNA prediction approaches and to devise a better computational approach to tackle the problem of siRNA efficacy by inhibition capacity and off-target possibility. The strength and limitations of the available approaches are investigated and taken into consideration for making improved solution. Thus the approaches proposed in this study extend some of the good scoring previous state of the art techniques by incorporating machine learning and statistical approaches and thermodynamic features like whole stacking energy to improve the prediction accuracy, inhibition efficiency, sensitivity and specificity. Here, we propose one Support Vector Machine (SVM) model, and two Artificial Neural Network (ANN) models for siRNA efficiency prediction. In SVM model, the classification property is used to classify whether the siRNA is efficient or inefficient in silencing a target gene. The first ANNmodel, named siRNA Designer, is used for optimizing the inhibition efficiency of siRNA against target genes. The second ANN model, named Optimized siRNA Designer, OpsiD, produces efficient siRNAs with high inhibition efficiency to degrade target genes with improved sensitivity-specificity, and identifies the off-target knockdown possibility of siRNA against non-target genes. The models are trained and tested against a large data set of siRNA sequences. The validations are conducted using Pearson Correlation Coefficient, Mathews Correlation Coefficient, Receiver Operating Characteristic analysis, Accuracy of prediction, Sensitivity and Specificity. It is found that the approach, OpsiD, is capable of predicting the inhibition capacity of siRNA against a target mRNA with improved results over the state of the art techniques. Also we are able to understand the influence of whole stacking energy on efficiency of siRNA. The model is further improved by including the ability to identify the “off-target possibility” of predicted siRNA on non-target genes. Thus the proposed model, OpsiD, can predict optimized siRNA by considering both “inhibition efficiency on target genes and off-target possibility on non-target genes”, with improved inhibition efficiency, specificity and sensitivity. Since we have taken efforts to optimize the siRNA efficacy in terms of “inhibition efficiency and offtarget possibility”, we hope that the risk of “off-target effect” while doing gene silencing in various bioinformatics fields can be overcome to a great extent. These findings may provide new insights into cancer diagnosis, prognosis and therapy by gene silencing. The approach may be found useful for designing exogenous siRNA for therapeutic applications and gene silencing techniques in different areas of bioinformatics.

HelF, a suppressor of RNAi mediated gene silencing in Dictyostelium discoideum

RNA interference (RNAi) is a recently discovered process, in which double stranded RNA (dsRNA) triggers the homology-dependant degradation of cognate messenger RNA (mRNA). In a search for new components of the RNAi machinery in Dictyostelium, a new gene was identified, which was called helF. HelF is a putative RNA helicase, which shows a high homology to the helicase domain of Dicer, to the helicase domain of Dictyostelium RdRP and to the C. elegans gene drh-1, that codes for a dicer related DExH-box RNA helicase, which is required for RNAi. The aim of the present Ph.D. work was to investigate the role of HelF in PTGS, either induced by RNAi or asRNA. A genomic disruption of the helF gene was performed, which resulted in a distinct mutant morphology in late development. The cellular localization of the protein was elucidated by creating a HelF-GFP fusion protein, which was found to be localized in speckles in the nucleus. The involvement of HelF in the RNAi mechanism was studied. For this purpose, RNAi was induced by transformation of RNAi hairpin constructs against four endogenous genes in wild type and HelF- cells. The silencing efficiency was strongly enhanced in the HelF K.O. strain in comparison with the wild type. One gene, which could not be silenced in the wild type background, was successfully silenced in HelF-. When the helF gene was disrupted in a secondary transformation in a non-silenced strain, the silencing efficiency was strongly improved, a phenomenon named here “retrosilencing”. Transcriptional run-on experiments revealed that the enhanced gene silencing in HelF- was a posttranscriptional event, and that the silencing efficiency depended on the transcription levels of hairpin RNAs. In HelF-, the threshold level of hairpin transcription required for efficient silencing was dramatically lowered. The RNAi-mediated silencing was accompanied by the production of siRNAs; however, their amount did not depend on the level of hairpin transcription. These results indicated that HelF is a natural suppressor of RNAi in Dictyostelium. In contrast, asRNA mediated gene silencing was not enhanced in the HelF K.O, as shown for three tested genes. These results confirmed previous observations (H. Martens and W. Nellen, unpublished) that although similar, RNAi and asRNA mediated gene silencing mechanisms differ in their requirements for specific proteins. In order to characterize the function of the HelF protein on a molecular level and to study its interactions with other RNAi components, in vitro experiments were performed. Besides the DEAH-helicase domain, HelF contains a double-stranded RNA binding domain (dsRBD) at its N-terminus, which showed high similarity to the dsRBD domain of Dicer A from Dictyostelium. The ability of the recombinant dsRBDs from HelF and Dicer A to bind dsRNA was examined and compared. It was shown by gel-shift assays that both HelF-dsRBD and Dicer-dsRBD could bind directly to long dsRNAs. However, HelF-dsRBD bound more efficiently to dsRNA with imperfect matches than to perfect dsRNA. Both dsRBDs bound specifically to a pre-miRNA substrate (pre-let-7). The results suggested that most probably there were two binding sites for the proteins on the pre-miRNA substrate. Moreover, it was shown that HelF-dsRBD and Dicer-dsRBD have siRNA-binding activity. The affinities of the two dsRBDs to the pre-let-7 substrate were also examined by plasmon surface resonance analyses, which revealed a 9-fold higher binding affinity of the Dicer-dsRBD to pre-let-7 compared to that of the HelF-dsRBD. The binding of HelF-dsRBD to the pre-let-7 was impaired in the presence of Mg2+, while the Dicer-dsRBD interaction with pre-let-7 was not influenced by the presence of Mg2+. The results obtained in this thesis can be used to postulate a model for HelF function. In this, HelF acts as a nuclear suppressor of RNAi in wild type cells by recognition and binding of dsRNA substrates. The protein might act as a surveillance system to avoid RNAi initiation by fortuitous dsRNA formation or low abundance of dsRNA trigger. If the protein acts as an RNA helicase, it could unwind fold-back structures in the nucleus and thus lead to decreased RNAi efficiency. A knock-out of HelF would result in initiation of the RNAi pathway even by low levels of dsRNA. The exact molecular function of the protein in the RNAi mechanism still has to be elucidated. RNA interferenz (RNAi) ist ein in jüngster Zeit entdeckter Mechanismus, bei dem doppelsträngige RNA Moleküle (dsRNA) eine Homologie-abhängige Degradation einer verwandten messenger-RNA (mRNA) auslösen. Auf der Suche nach neuen Komponenten der RNAi-Maschinerie in Dictyostelium konnte ein neues Gen (helF) identifiziert werden. HelF ist eine putative RNA-Helikase mit einer hohen Homologie zur Helikasedomäne der bekannten Dicerproteine, der Helikasedomäne der Dictyostelium RdRP und zu dem C. elegans Gen drh-1, welches für eine Dicer-bezogene DExH-box RNA Helikase codiert, die am RNAi-Mechanismus beteiligt ist. Das Ziel dieser Arbeit war es, die Funktion von HelF im Zusammenhang des RNAi oder asRNA induzierten PTGS zu untersuchen. Es wurde eine Unterbrechung des helF-Gens auf genomischer Ebene (K.O.) vorgenommen, was bei den Mutanten zu einer veränderten Morphologie in der späten Entwicklung führte. Die Lokalisation des Proteins in der Zelle konnte mit Hilfe einer GFP-Fusion analysiert werden und kleinen Bereichen innerhalb des Nukleus zugewiesen werden. Im Weiteren wurde der Einfluss von HelF auf den RNAi-Mechanismus untersucht. Zu diesem Zweck wurde RNAi durch Einbringen von RNAi Hairpin-Konstrukten gegen vier endogene Gene im Wiltypstamm und der HelF--Mutante induziert. Im Vergleich zum Wildtypstamm konnte im HelF--Mutantenstamm eine stark erhöhte „Silencing“-Effizienz nachgewiesen werden. Ein Gen, welches nach RNAi Initiation im Wildtypstamm unverändert blieb, konnte im HelF--Mutantenstamm erfolgreich stillgelegt werden. Durch sekundäres Einführen einer Gendisruption im helF-Locus in einen Stamm, in welchem ein Gen nicht stillgelegt werden konnte, wurde die Effizienz des Stilllegens deutlich erhöht. Dieses Phänomen wurde hier erstmals als „Retrosilencing“ beschrieben. Mit Hilfe von transkriptionellen run-on Experimenten konnte belegt werden, dass es sich bei dieser erhöhten Stilllegungseffizienz um ein posttranskriptionelles Ereignis handelte, wobei die Stillegungseffizienz von der Transkriptionsstärke der Hairpin RNAs abhängt. Für die HelF--Mutanten konnte gezeigt werden, dass der Schwellenwert zum Auslösen eines effizienten Stillegens dramatisch abgesenkt war. Obwohl die RNAi-vermittelte Genstilllegung immer mit der Produktion von siRNAs einhergeht, war die Menge der siRNAs nicht abhängig von dem Expressionsniveau des Hairpin-Konstruktes. Diese Ergebnisse legen nahe, dass es sich bei der HelF um einen natürlichen Suppressor des RNAi-Mechanismus in Dictyostelium handelt. Im Gegensatz hierzu war die as-vermittelte Stilllegung von drei untersuchten Genen im HelF-K.O. im Vergleich zum Wildyp unverändert. Diese Ergebnisse bestätigten frühere Beobachtungen (H. Martens und W. Nellen, unveröffentlicht), wonach die Mechanismen für RNAi und asRNA-vermittelte Genstilllegung unterschiedliche spezifische Proteine benötigen. Um die Funktion des HelF-Proteins auf der molekularen Ebene genauer zu charakterisieren und die Interaktion mit anderen RNAi-Komponenten zu untersuchen, wurden in vitro Versuche durchgeführt. Das HelF-Protein enthält, neben der DEAH-Helikase-Domäne eine N-terminale Doppelstrang RNA bindende Domäne (dsRBD) mit einer hohen Ähnlichkeit zu der dsRBD des Dicer A aus Dictyostelium. Die dsRNA-Bindungsaktivität der beiden dsRBDs aus HelF und Dicer A wurde analysiert und verglichen. Es konnte mithilfe von Gel-Retardationsanalysen gezeigt werden, dass sowohl HelF-dsRBD als auch Dicer-dsRBD direkt an lange dsRNAs binden können. Hierbei zeigte sich, dass die HelF-dsRBD eine höhere Affinität zu einem imperfekten RNA-Doppelstrang besitzt, als zu einer perfekt gepaarten dsRNA. Für beide dsRBDs konnte eine spezifische Bindung an ein pre-miRNA Substrat nachgewiesen werden (pre-let-7). Dieses Ergebnis legt nah, dass es zwei Bindestellen für die Proteine auf dem pre-miRNA Substrat gibt. Überdies hinaus konnte gezeigt werden, dass die dsRBDs beider Proteine eine siRNA bindende Aktivität besitzen. Die Affinität beider dsRBDs an das pre-let-7 Substrat wurde weiterhin mit Hilfe der Plasmon Oberflächen Resonanz untersucht. Hierbei konnte eine 9-fach höhere Bindeaffinität der Dicer-dsRBD im Vergleich zur HelF-dsRBD nachgewiesen werden. Während die Bindung der HelF-dsRBD an das pre-let-7 durch die Anwesenheit von Mg2+ beeinträchtigt war, zeigte sich kein Einfluß von Mg2+ auf das Bindeverhalten der Dicer-dsRBD. Mit Hilfe der in dieser Arbeit gewonnen Ergebnisse lässt sich ein Model für die Funktion von HelF postulieren. In diesem Model wirkt HelF durch Erkennen und Binden von dsRNA Substraten als Suppressor von der RNAi im Kern. Das Protein kann als Überwachungsystem gegen eine irrtümliche Auslösung von RNAi wirken, die durch zufällige dsRNA Faltungen oder eine zu geringe Häufigkeit der siRNAs hervorgerufen sein könnte. Falls das Protein eine Helikase-Aktivität besitzt, könnte es rückgefaltete RNA Strukturen im Kern auflösen, was sich in einer verringerten RNAi-Effizienz wiederspiegelt. Durch Ausschalten des helF-Gens würde nach diesem Modell eine erfolgreiche Auslösung von RNAi schon bei sehr geringer Mengen an dsRNA möglich werden. Das Modell erlaubt, die exakte molekulare Funktion des HelF-Proteins im RNAi-Mechanismus weiter zu untersuchen.

On the function of the Dictyostelium Argonaute A protein (AgnA) in epigenetic gene regulation

With molecular biology methods and bioinformatics, the Argonaute proteins in Dictyostelium discoideum were characterized, and the function of the AgnA protein in RNAi and DNA methylation was investigated, as well as cellular features. Also interaction partners of the PAZ-Piwi domain of AgnA (PAZ-PiwiAgnA) were discovered. The Dictyostelium genome encodes five Argonaute proteins, termed AgnA/B/C/D/E. The expression level of Argonaute proteins was AgnB/D/E > AgnA > AgnC. All these proteins contain the characteristic conserved of PAZ and Piwi domains. Fluorescence microscopy revealed that the overexpressed C-terminal GFP-fusion of PAZ-PiwiAgnA (PPWa-GFP) localized to the cytoplasm. Overexpression of PPWa-GFP leaded to an increased gene silencing efficiency mediated by RNAi but not by antisense RNA. This indicated that PAZ-PiwiAgnA is involved in the RNAi pathway, but not in the antisense pathway. An analysis of protein-protein interactions by a yeast-two-hybrid screen on a cDNA library from vegetatively grown Dictyostelium revealed that several proteins, such as EF2, EF1-I, IfdA, SahA, SamS, RANBP1, UAE1, CapA, and GpdA could interact with PAZ-PiwiAgnA. There was no interaction between PAZ-PiwiAgnA and HP1, HelF and DnmA detected by direct yeast-two-hybrid analysis. The fluorescence microscopy images showed that the overexpressed GFP-SahA or IfdA fusion proteins localized to both cytoplasm and nuclei, while the overexpressed GFP-SamS localized to the cytoplasm. The expression of SamS in AgnA knock down mutants was strongly down regulated on cDNA and mRNA level in, while the expression of SahA was only slightly down regulated. AgnA knock down mutants displayed defects in growth and phagocytosis, which suggested that AgnA affects also cell biological features. The inhibition of DNA methylation on DIRS-1 and Skipper retroelements, as well as the endogenous mvpB and telA gene, observed for the same strains, revealed that AgnA is involved in the DNA methylation pathway. Northern blot analysis showed that Skipper and DIRS-1 were rarely expressed in Ax2, but the expression of Skipper was upregulated in AgnA knock down mutants, while the expression of DIRS-1 was not changed. A knock out of the agnA gene failed even though the homologous recombination of the disruption construct occurred at the correct site, which indicated that there was a duplication of the agnA gene in the genome. The same phenomenon was also observed in ifdA knock out experiments.

Artificial micro RNA system in Dictyostelium discoideum

Dictyostelium discoideum is a social amoeba that serves as a model system for RNA interference and related mechanisms. Its position between plants and animals enables evolutionary snapshot of mechanisms and protein machinery involved in investigated subjects. MiRNAs are small regulatory RNAs that are evolutionary conserved and present in animals, plants, viruses and some prokaryotes. They have roles in development, cell growth and differentiation, apoptosis and their miss-regulation is associated with many diseases such as cancer, neurodegenerative disorders and diabetes. Recently, through sequencing of DNA libraries miRNAs have been discovered in D. discoideum. In this work, it has been shown that heterologues miRNA let-7 can be expressed and processed in D. discoideum. Expression of let-7 miRNA in social amoeba resulted in a strong developmental phenotype suggesting an overload of the processing/silencing system or/and endogenous targets. The various effects on prel-7 strain have been observed and characterized, serving as a background for postulation of miRNA roles. An artificial miRNA system has been established and imposed to D. discoideum, showing that miRNAs in Dictyostelium could mediate gene expression on the level of mRNA stability and on the posttranscriptional level. Furthermore, presence of translational inhibition as a type of gene control was shown for the first time in this organism. Due to it new structures representing co-localities of miRNA and target mRNA have been detected. Taken together, this work shows functional artificial miRNA system and postulates roles of endogenous small RNA in social amoeba.

HelF und sein Interaktionspartner Xrn1: zwei Regulatoren der RNA-Interferenz in D. discoideum

Hauptziel dieser Arbeit ist die Identifizierung, Verifizierung und Charakterisierung von Interaktionspartnern von HelF, einem Negativregulator der RNA-Interferenz in Dictyostelium discoideum (Popova et al. 2006). Es ist gelungen, die Interaktion von HelF und der 5‘ 3‘ Exonuklease Xrn1 nachzu-weisen, aber alle anderen Versuchen, bisher unbekannte Protein-Interaktionspartner zu identifizieren, schlugen fehl. Xrn1 ist in den Organismen D. melanogaster (Orban und Izaurralde 2005), C. elegans (Newbury und Woollard 2004) und A. thaliana (Gazzani et al. 2004) bereits als Regulator der RNA-Interferenz bekannt. Mit Aufreinigungen nach der TAP-Methode und mit dem Nanotrap wurde ebenfalls versucht, RNA-Interaktionspartner von HelF zu identifizieren. Es konnten in einigen Aufreinigungen putative, für HelF spezifische RNAs identifiziert werden, doch entweder es handelte sich nachweislich nicht um RNA oder die Reproduktion der Daten schlug trotz mehrfacher Versuche fehl. Bezüglich der zellulären Lokalisation von HelF und Xrn1 konnte gezeigt werden, dass HelF zusätzlich zur bekannten Lokalisation in Foci im Nukleus (Popova et al. 2006) vermutlich auch im Cytoplasma und dort angeordnet in mehreren Granula zu finden ist. Xrn1 ist nahezu ausschließlich im Cytoplasma lokalisiert, wo es in mehreren Foci organisiert ist. Es wird vermutet, dass es sich bei diesen Foci um Processing-Bodies (P-Bodies) handelt und dass möglicherweise Xrn1 und HelF in eben diesen P-Bodies co-lokalisieren. In der Entwicklung vom Einzeller zum mehrzelligen Organismus zeigen die Xrn1KO- und die HelFKO-Mutante jeweils einen eindeutigen Phänotyp, der vom Wildtyp abweicht. Die Phänotypen der beiden Mutanten unterscheiden sich deutlich voneinander. Beim Mischen von HelF-Knockout-Zellen mit grün fluoreszierenden Wildtyp-Zellen zeigt sich, dass beide Stämme innerhalb des sich entwickelnden Organismus an definierten Stellen lokalisieren. Entgegen den Erwartungen befinden sich die Zellen der Mutante in den Stadien „Finger“ und „Slug“ nicht hauptsächlich im vorderen Teil des Organismus, sondern sind auch im hinteren Teil, der später die Sporenmasse bildet, vertreten. Dies lässt vermuten, dass HelF-Knockout-Mutanten in gleichem Maße wie Wildtypzellen als Sporen in die nächste Generation übergehen. Weitere Mix-Experimente, in denen HelFKO-Zellen und Xrn1KO-Zellen mit grün fluoreszierenden Wildtypzellen gemischt wurden, belegen eindeutig, dass beide Knockoutmutanten in Konkurrenz zum Wildtyp bei der Generierung von Sporen und somit beim Übergang in die nächste Generation benachteiligt sind. Dies steht im Gegensatz zu den Ergebnissen der vorher beschriebenen Mix-Experimente, in denen der Organismus als Ganzes betrachtet wurde. Weiterhin konnte herausgefunden werden, dass Xrn1 ebenso wie HelF (Popova et al. 2006) eine Rolle als Negativregulator in der RNA-Interferenz innehat. Fraglich ist aber, ob HelF wie bisher angenommen auch Einfluss auf den Weg der Generierung von miRNAs nimmt, da in HelFKO für keinen der beiden miRNA-Kandidaten eine Hoch- bzw. Runterregulierung der reifen miRNAs im Vergleich zum Wildtyp beobachtet werden kann. Im Xrn1KO hingegen ist die reife miRNA ddi-mir-1176 im Vergleich zum Wildtyp hochreguliert. In Bezug auf die Generierung von siRNAs konnte herausgefunden werden, dass Xrn1 und HelF im Fall der Generierung von Skipper siRNAs regulierend eingreifen, dass aber nicht alle siRNAs von der negativen Regulierung durch HelF und Xrn1betroffen sind, was am Beispiel der DIRS-1-siRNAs belegt werden kann. Das von B. Popova entwickelte Modell (Popova 2005) bezüglich der Rolle von HelF in der RNA-Interferenz wurde basierend auf den neu gewonnenen Daten weiterentwickelt und um Xrn1 ergänzt, um die Funktionen von HelF und Xrn1 als Antagonisten der RNA-Interferenz näher zu beleuchten. Literatur: Gazzani, S., T. Lawrenson, et al. (2004). "A link between mRNA turnover and RNA interference in Arabidopsis." Science 306(5698): 1046-8. Newbury, S. and A. Woollard (2004). "The 5'-3' exoribonuclease xrn-1 is essential for ventral epithelial enclosure during C. elegans embryogenesis." Rna 10(1): 59-65. Orban, T. I. and E. Izaurralde (2005). "Decay of mRNAs targeted by RISC requires XRN1, the Ski complex, and the exosome." Rna 11(4): 459-69. Popova, B. (2005). HelF, a suppressor of RNAi mediated gene silencing in Dictyostelium discoideum. Genetik. Kassel, Universität Kassel. PhD: 200. Popova, B., M. Kuhlmann, et al. (2006). "HelF, a putative RNA helicase acts as a nuclear suppressor of RNAi but not antisense mediated gene silencing." Nucleic Acids Res 34(3): 773-84.

“Unmixing” Tissue Gene Expression Signatures from Tumor Biopsies

Emergent molecular measurement methods, such as DNA microarray, qRTPCR, and many others, offer tremendous promise for the personalized treatment of cancer. These technologies measure the amount of specific proteins, RNA, DNA or other molecular targets from tumor specimens with the goal of “fingerprinting” individual cancers. Tumor specimens are heterogeneous; an individual specimen typically contains unknown amounts of multiple tissues types. Thus, the measured molecular concentrations result from an unknown mixture of tissue types, and must be normalized to account for the composition of the mixture. For example, a breast tumor biopsy may contain normal, dysplastic and cancerous epithelial cells, as well as stromal components (fatty and connective tissue) and blood and lymphatic vessels. Our diagnostic interest focuses solely on the dysplastic and cancerous epithelial cells. The remaining tissue components serve to “contaminate” the signal of interest. The proportion of each of the tissue components changes as a function of patient characteristics (e.g., age), and varies spatially across the tumor region. Because each of the tissue components produces a different molecular signature, and the amount of each tissue type is specimen dependent, we must estimate the tissue composition of the specimen, and adjust the molecular signal for this composition. Using the idea of a chemical mass balance, we consider the total measured concentrations to be a weighted sum of the individual tissue signatures, where weights are determined by the relative amounts of the different tissue types. We develop a compositional source apportionment model to estimate the relative amounts of tissue components in a tumor specimen. We then use these estimates to infer the tissuespecific concentrations of key molecular targets for sub-typing individual tumors. We anticipate these specific measurements will greatly improve our ability to discriminate between different classes of tumors, and allow more precise matching of each patient to the appropriate treatment

Construcción de una filogenia molecular para las especies de los géneros Klebsiella y Raoultella basada en los genes ARNr 16S y ARN polimerasa subunidad

Las bacterias de los géneros Raoultella y Klebsiella son patógenos oportunistas para las cuales no existe un sistema uniforme de clasificación taxonómica internacional. En el presente estudio se propone una filogenia molecular basada en el gen ribosomal 16S (ADNr 16S) y el gen codificante de la subunidad de la ARN polimerasa (rpoB) de los géneros Klebsiella y Raoultella con el fin de establecer relaciones evolutivas entre dichos géneros. Los resultados evidencian una agrupación acorde con la taxonomía y las propiedades bioquímicas características, reportadas en el Genbank. Se estableció una bifurcación en los árboles, lo cual confirma la separación de los géneros Klebsiella y Raoultella. Adicionalmente, se confirmó el carácter polifilético de K. aerogenes por el gen ADNr 16S y la agrupación de R. terrigena y K. oxytoca de acuerdo con el gen rpoB. La comparación entre los árboles obtenidos permitió determinar relaciones evolutivas entre las especies, a partir de los genes evaluados, lo cual refleja cambios aparentes a nivel taxonómico y corrobora la importancia del análisis a nivel de multilocus. Este tipo de estudios permite monitorear la estabilidad de los genotipos microbianos sobre la escala temporal y espacial, mejorar la precisión de las anotaciones taxonómicas (mejor descripción de taxones o subdivisiones genéticas) y evaluar la diversidad genética y adaptabilidad en términos de virulencia o resistenciaa drogas.

Down-regulation of the CSLF6 gene results in decreased (1,3;1,4)-beta-D-glucan in endosperm of wheat

(1,3;1,4)-beta-d-Glucan (beta-glucan) accounts for 20% of the total cell walls in the starchy endosperm of wheat (Triticum aestivum) and is an important source of dietary fiber for human nutrition with potential health benefits. Bioinformatic and array analyses of gene expression profiles in developing caryopses identified the CELLULOSE SYNTHASE-LIKE F6 (CSLF6) gene as encoding a putative beta-glucan synthase. RNA interference constructs were therefore designed to down-regulate CSLF6 gene expression and expressed in transgenic wheat under the control of a starchy endosperm-specific HMW subunit gene promoter. Analysis of wholemeal flours using an enzyme-based kit and by high-performance anion-exchange chromatography after digestion with lichenase showed decreases in total beta-glucan of between 30% and 52% and between 36% and 53%, respectively, in five transgenic lines compared to three control lines. The content of water-extractable beta-glucan was also reduced by about 50% in the transgenic lines, and the M(r) distribution of the fraction was decreased from an average of 79 to 85 x 10(4) g/mol in the controls and 36 to 57 x 10(4) g/mol in the transgenics. Immunolocalization of beta-glucan in semithin sections of mature and developing grains confirmed that the impact of the transgene was confined to the starchy endosperm with little or no effect on the aleurone or outer layers of the grain. The results confirm that the CSLF6 gene of wheat encodes a beta-glucan synthase and indicate that transgenic manipulation can be used to enhance the health benefits of wheat products.

Pollen ultrastructure in anther cultures of Datura innoxia. I. Division of the presumptive vegetative cell.

Ultrastructural features of embryogenic pollen in Datura innoxia are described, just prior to, during, and after completion of the first division of the presumptive vegetative cell. In anther cultures initiated towards the end of the microspore phase and incubated at 28 degrees C in darkness, the spores divide within 24 h and show features consistent with those of dividing spores in vivo. Cytokinesis is also normal in most of the spores and the gametophytic cell-plate curves round the presumptive generative nucleus in the usual highly ordered way. Further differentiation of the 2 gametophytic cells does not take place and the pollen either switches to embryogenesis or degenerates. After 48-72 h, the remaining viable pollen shows the vegetative cell in division. The cell, which has a large vacuole and thin layer of parietal cytoplasm carried over from the microspore, divides consistently in a plane parallel to the microspore division. The dividing wall follows a less-ordered course than the gametophytic wall and usually traverses the vacuole, small portions of which are incorporated into the daughter cell adjacent to the generative cell. The only structural changes in the vegetative cell associated with the change in programme appear to be an increase in electron density of both plastids and mitochondria and deposition of an electron-dense material (possibly lipid) on the tonoplast. The generative cell is attached to the intine when the vegetative cell divides. Ribosomal density increases in the generative cell and exceeds that in the vegetative cell. A thin electron-dense layer also appears in the generative-cell wall. It is concluded that embryogenesis commences as soon as the 2 gametophytic cells are laid down. Gene activity associated with postmitotic synthesis of RNA and protein in the vegetative cell is switched off. The data are discussed in relation to the first division of the embryogenic vegetative cells in Nicotiana tabacum.

Development and application of in vivo expression technology (IVET) for analysing microbial gene expression in complex environments

Establishing the mechanisms by which microbes interact with their environment, including eukaryotic hosts, is a major challenge that is essential for the economic utilisation of microbes and their products. Techniques for determining global gene expression profiles of microbes, such as microarray analyses, are often hampered by methodological restraints, particularly the recovery of bacterial transcripts (RNA) from complex mixtures and rapid degradation of RNA. A pioneering technology that avoids this problem is In Vivo Expression Technology (IVET). IVET is a 'promoter-trapping' methodology that can be used to capture nearly all bacterial promoters (genes) upregulated during a microbe-environment interaction. IVET is especially useful because there is virtually no limit to the type of environment used (examples to date include soil, oomycete, a host plant or animal) to select for active microbial promoters. Furthermore, IVET provides a powerful method to identify genes that are often overlooked during genomic annotation, and has proven to be a flexible technology that can provide even more information than identification of gene expression profiles. A derivative of IVET, termed resolvase-IVET (RIVET), can be used to provide spatio-temporal information about environment-specific gene expression. More recently, niche-specific genes captured during an IVET screen have been exploited to identify the regulatory mechanisms controlling their expression. Overall, IVET and its various spin-offs have proven to be a valuable and robust set of tools for analysing microbial gene expression in complex environments and providing new targets for biotechnological development.

Metallothionein I and II gene expression as a response to metal contamination in bank vole Clethrionomys glareolus

The expression of two metallothionein genes (Mt-I and Mt-II) in the liver, kidney, and gonad of bank voles collected at four metal-contaminated sites (Cd, Zn, Pb, and Fe) were measured using the quantitative real-time PCR method (QPCR). Relative Mt gene expression was calculated by applying a normalization factor (NF) using the expression of two housekeeping genes, ribosomal 18S and beta-actin. Relative Mt expression in tissues of animals from contaminated sites was up to 54.8-fold higher than those from the reference site for Mt-I and up to 91.6-fold higher for Mt-II. Mt-II gene expression in the livers of bank voles from contaminated sites was higher than Mt-I gene expression. Inversely, Mt-II expression in the kidneys of voles was lower than Mt-I expression. Positive correlations between cadmium levels in the tissues and Mt-I were obtained in all studied tissues. Zinc, which undergoes homeostatic regulation, correlated positively with both Mt-I and Mt-II gene expression only in the kidney. Results showed that animals living in chronically contaminated environments intensively activate detoxifying mechanisms such as metallothionein expression. This is the first time that QPCR techniques to measure MT gene expression have been applied to assess the impact of environmental metal pollution on field collected bank voles.