815 resultados para Comparative Genomics, Non-coding RNAs, Conservation, Segmentation, Change-points, Sliding Window Analysis, Markov Chain Monte Carlo, Bayesian modeling
Resumo:
Nicotinamide adenine dinucleotide (NAD) is a ubiquitous cofactor participating in numerous redox reactions. It is also a substrate for regulatory modifications of proteins and nucleic acids via the addition of ADP-ribose moieties or removal of acyl groups by transfer to ADP-ribose. In this study, we use in-depth sequence, structure and genomic context analysis to uncover new enzymes and substrate-binding proteins in NAD-utilizing metabolic and macromolecular modification systems. We predict that Escherichia coli YbiA and related families of domains from diverse bacteria, eukaryotes, large DNA viruses and single strand RNA viruses are previously unrecognized components of NAD-utilizing pathways that probably operate on ADP-ribose derivatives. Using contextual analysis we show that some of these proteins potentially act in RNA repair, where NAD is used to remove 2'-3' cyclic phosphodiester linkages. Likewise, we predict that another family of YbiA-related enzymes is likely to comprise a novel NAD-dependent ADP-ribosylation system for proteins, in conjunction with a previously unrecognized ADP-ribosyltransferase. A similar ADP-ribosyltransferase is also coupled with MACRO or ADP-ribosylglycohydrolase domain proteins in other related systems, suggesting that all these novel systems are likely to comprise pairs of ADP-ribosylation and ribosylglycohydrolase enzymes analogous to the DraG-DraT system, and a novel group of bacterial polymorphic toxins. We present evidence that some of these coupled ADP-ribosyltransferases/ribosylglycohydrolases are likely to regulate certain restriction modification enzymes in bacteria. The ADP-ribosyltransferases found in these, the bacterial polymorphic toxin and host-directed toxin systems of bacteria such as Waddlia also throw light on the evolution of this fold and the origin of eukaryotic polyADP-ribosyltransferases and NEURL4-like ARTs, which might be involved in centrosomal assembly. We also infer a novel biosynthetic pathway that might be involved in the synthesis of a nicotinate-derived compound in conjunction with an asparagine synthetase and AMPylating peptide ligase. We use the data derived from this analysis to understand the origin and early evolutionary trajectories of key NAD-utilizing enzymes and present targets for future biochemical investigations.
Resumo:
Trypanosoma cruzi is an organism highly resistant to ionizing radiation. Following a dose of 500 Gy of gamma radiation, the fragmented genomic DNA is gradually reconstructed and the pattern of chromosomal bands is restored in less than 48 hours. Cell growth arrests after irradiation but, while DNA is completely fragmented, RNA maintains its integrity. In this work we compared the transcriptional profiles of irradiated and non-irradiated epimastigotes at different time points after irradiation using microarray. In total, 273 genes were differentially expressed; from these, 160 were up-regulated and 113 down-regulated. We found that genes with predicted functions are the most prevalent in the down-regulated gene category. Translation and protein metabolic processes, as well as generation of precursor of metabolites and energy pathways were affected. In contrast, the up-regulated category was mainly composed of obsolete sequences (which included some genes of the kinetoplast DNA), genes coding for hypothetical proteins, and Retrotransposon Hot Spot genes. Finally, the tyrosyl-DNA phosphodiesterase 1, a gene involved in double-strand DNA break repair process, was up-regulated. Our study demonstrated the peculiar response to ionizing radiation, raising questions about how this organism changes its gene expression to manage such a harmful stress.
Resumo:
This thesis deals with inflation theory, focussing on the model of Jarrow & Yildirim, which is nowadays used when pricing inflation derivatives. After recalling main results about short and forward interest rate models, the dynamics of the main components of the market are derived. Then the most important inflation-indexed derivatives are explained (zero coupon swap, year-on-year, cap and floor), and their pricing proceeding is shown step by step. Calibration is explained and performed with a common method and an heuristic and non standard one. The model is enriched with credit risk, too, which allows to take into account the possibility of bankrupt of the counterparty of a contract. In this context, the general method of pricing is derived, with the introduction of defaultable zero-coupon bonds, and the Monte Carlo method is treated in detailed and used to price a concrete example of contract. Appendixes: A: martingale measures, Girsanov's theorem and the change of numeraire. B: some aspects of the theory of Stochastic Differential Equations; in particular, the solution for linear EDSs, and the Feynman-Kac Theorem, which shows the connection between EDSs and Partial Differential Equations. C: some useful results about normal distribution.
Resumo:
Hydrothermal fluids are a fundamental resource for understanding and monitoring volcanic and non-volcanic systems. This thesis is focused on the study of hydrothermal system through numerical modeling with the geothermal simulator TOUGH2. Several simulations are presented, and geophysical and geochemical observables, arising from fluids circulation, are analyzed in detail throughout the thesis. In a volcanic setting, fluids feeding fumaroles and hot spring may play a key role in the hazard evaluation. The evolution of the fluids circulation is caused by a strong interaction between magmatic and hydrothermal systems. A simultaneous analysis of different geophysical and geochemical observables is a sound approach for interpreting monitored data and to infer a consistent conceptual model. Analyzed observables are ground displacement, gravity changes, electrical conductivity, amount, composition and temperature of the emitted gases at surface, and extent of degassing area. Results highlight the different temporal response of the considered observables, as well as the different radial pattern of variation. However, magnitude, temporal response and radial pattern of these signals depend not only on the evolution of fluid circulation, but a main role is played by the considered rock properties. Numerical simulations highlight differences that arise from the assumption of different permeabilities, for both homogeneous and heterogeneous systems. Rock properties affect hydrothermal fluid circulation, controlling both the range of variation and the temporal evolution of the observable signals. Low temperature fumaroles and low discharge rate may be affected by atmospheric conditions. Detailed parametric simulations were performed, aimed to understand the effects of system properties, such as permeability and gas reservoir overpressure, on diffuse degassing when air temperature and barometric pressure changes are applied to the ground surface. Hydrothermal circulation, however, is not only a characteristic of volcanic system. Hot fluids may be involved in several mankind problems, such as studies on geothermal engineering, nuclear waste propagation in porous medium, and Geological Carbon Sequestration (GCS). The current concept for large-scale GCS is the direct injection of supercritical carbon dioxide into deep geological formations which typically contain brine. Upward displacement of such brine from deep reservoirs driven by pressure increases resulting from carbon dioxide injection may occur through abandoned wells, permeable faults or permeable channels. Brine intrusion into aquifers may degrade groundwater resources. Numerical results show that pressure rise drives dense water up to the conduits, and does not necessarily result in continuous flow. Rather, overpressure leads to new hydrostatic equilibrium if fluids are initially density stratified. If warm and salty fluid does not cool passing through the conduit, an oscillatory solution is then possible. Parameter studies delineate steady-state (static) and oscillatory solutions.
Resumo:
A sample scanning confocal optical microscope (SCOM) was designed and constructed in order to perform local measurements of fluorescence, light scattering and Raman scattering. This instrument allows to measure time resolved fluorescence, Raman scattering and light scattering from the same diffraction limited spot. Fluorescence from single molecules and light scattering from metallic nanoparticles can be studied. First, the electric field distribution in the focus of the SCOM was modelled. This enables the design of illumination modes for different purposes, such as the determination of the three-dimensional orientation of single chromophores. Second, a method for the calculation of the de-excitation rates of a chromophore was presented. This permits to compare different detection schemes and experimental geometries in order to optimize the collection of fluorescence photons. Both methods were combined to calculate the SCOM fluorescence signal of a chromophore in a general layered system. The fluorescence excitation and emission of single molecules through a thin gold film was investigated experimentally and modelled. It was demonstrated that, due to the mediation of surface plasmons, single molecule fluorescence near a thin gold film can be excited and detected with an epi-illumination scheme through the film. Single molecule fluorescence as close as 15nm to the gold film was studied in this manner. The fluorescence dynamics (fluorescence blinking and excited state lifetime) of single molecules was studied in the presence and in the absence of a nearby gold film in order to investigate the influence of the metal on the electronic transition rates. The trace-histogram and the autocorrelation methods for the analysis of single molecule fluorescence blinking were presented and compared via the analysis of Monte-Carlo simulated data. The nearby gold influences the total decay rate in agreement to theory. The gold presence produced no influence on the ISC rate from the excited state to the triplet but increased by a factor of 2 the transition rate from the triplet to the singlet ground state. The photoluminescence blinking of Zn0.42Cd0.58Se QDs on glass and ITO substrates was investigated experimentally as a function of the excitation power (P) and modelled via Monte-Carlo simulations. At low P, it was observed that the probability of a certain on- or off-time follows a negative power-law with exponent near to 1.6. As P increased, the on-time fraction reduced on both substrates whereas the off-times did not change. A weak residual memory effect between consecutive on-times and consecutive off-times was observed but not between an on-time and the adjacent off-time. All of this suggests the presence of two independent mechanisms governing the lifetimes of the on- and off-states. The simulated data showed Poisson-distributed off- and on-intensities, demonstrating that the observed non-Poissonian on-intensity distribution of the QDs is not a product of the underlying power-law probability and that the blinking of QDs occurs between a non-emitting off-state and a distribution of emitting on-states with different intensities. All the experimentally observed photo-induced effects could be accounted for by introducing a characteristic lifetime tPI of the on-state in the simulations. The QDs on glass presented a tPI proportional to P-1 suggesting the presence of a one-photon process. Light scattering images and spectra of colloidal and C-shaped gold nano-particles were acquired. The minimum size of a metallic scatterer detectable with the SCOM lies around 20 nm.
Resumo:
The genetic control of flowering time has been addressed by many quantitative trait locus (QTL) studies. A survey of the results from 29 independent studies reporting information on 441 QTLs led to the production of a QTL consensus map, which enabled the identification of 59 chromosome regions distributed on all chromosomes and shown to be frequently involved in the genetic control of flowering time and related traits. One of the major QTLs for flowering time, the Vegetative to generative transition 1 (Vgt1) locus , corresponds to an upstream (70 kb) non-coding regulatory element of ZmRap2.7, a repressor of flowering. A transposon (MITE) insertion was identified as a major allelic difference within Vgt1. One of the hypotheses is that Vgt1 might function by modifying ZmRap2.7 chromatin through an epigenetic mechanism. Therefore, the methylation state at Vgt1 was investigated using an approach that combines digestion with McrBc, an endonuclease that acts upon methylated DNA, and quantitative PCR. The analyses were performed on genomic DNA from leaves of six different maize lines at four stages of development. The results showed a trend of reduction of methylation from the first to the last stage with the exception of a short genomic region flanking the MITE insertion, which showed a constant and very dense methylation throughout leaf development and for both alleles. Preliminary results from bisulfite sequencing of a small portion of Vgt1 revealed differential methylation of a single cytosine residue between the two alleles. ZmRap2.7 expression was assayed in the four developmental stages afore mentioned for the six genotypes, in order to establish a link between methylation at Vgt1 and ZmRap2.7 transcription. To assess the role of Vgt1 as a transcriptional enhancer, two reporter vectors for stable transformation of plants have been developed.
Resumo:
Les théories du post-industrialisation utilisent comme une preuve empirique du changement du processus historique l’entrée dans une nouvelle structure sociale que, par ailleurs, se distingue par le déplacement des biens et des services et par la formation de nouvelles structures professionnelles et de la gestion. Dans ce contexte, en premier lieu, c’est très intéressant à comprendre comme les nouvelles formes de l’organisation économique et sociale ont reussies à influer sur les systèmes de la fiscalité directe de l’État italien et de l’État français à la formation et au perfectionnement de la notion de revenu du travail indépendant et aussi à la formation et au perfectionnement des modèles de la taxation directe des revenus du travail indépendant. Par conséquent, la recherche, dans le principe, se concentre sur le processus de la construction et de l’évolution de la notion de revenu du travail indépendant et aussi de la construction et de l’évolution des formes nationales de la taxation directe des revenus du travail indépendant; un processus dévelopé au cours de l’Époque Moderne et de l’Époque Contemporaine que, du point de vue historique-fiscale, s’encadre comme l’époque des grands changements en ce qui concerne aussi à la fiscalité directe des revenus de la richesse mobilière. En second lieu, c’est très important à préciser si existe la possibilité de reconstruire les notions actuelles des revenus du travail indépendant en vue de l’aproximation des modalitès de la taxation directe de cette catégorie de revenus de la richesse mobilière avec les modalitès de la taxation directe des revenus de l’entreprise adoptées dans les systèmes italien et français de la fiscalitè directe; par conséquent, la recherche s’oriente vers la déscrition et l’analyse des questions en ce qui concerne à la définition fiscale objective et subjective des revenus du travail indépendant, à la direction vers laquelle on doit s’adresser actuellement les modèles nationaux de la taxation directe des revenus du travail indépendant et les raisons que la justifient. En autre, la recherche s’étendre vers une analyse comparative laquelle évidence les éléments de la convergence et de la divergence nécessaires pour tirer avec exactitude des conclusions sur l’approximation au niveau national et européen des notions des revenus du travail indépendant et des principes et modalités de la taxation directe des revenus du travail indépendant à fin de garantir les libertés de l’établissement et de la prestation des services et les principes de non-dicrimination et de la non-différenciation fiscale des travailleurs indépendants transfrontières dans le marché intérieur. En troisième lieu, c’est très intéressant à préciser avec cette recherche si dans le cadre conventionnel et européen existe une notion de revenu du travail indépendant ou non et si existe un modèle européen unifié ou, au contraire, il s’agit d’une approximation des modèles nationales de la taxation directe des revenus du travail indépendant. Par conséquent, un’autre argument de la recherce est l’analyse de la normative conventionnelle et de la législation européenne et aussi de la jurisprudence de la Cour de la Justice de l’Union Européenne relatives à la construction d’une notion conventionnelle et aussi européenne du travail indépendant au matiere de la fiscalité directe et l’incidence de principes conventionnels et aussi de libertés européenne de l’établissement et de la prestation des services à la taxation directe des revenus des travailleurs indépendants par rapport aux principes de non-discrimination et de la non-différenciation fiscale; une analyse laquelle évidence l’absence d’un modèle conventionnel et d’un modèle européen harmonisé relativement à la taxation directe des revenus du travail indépendant à raison de la prévalence du principe de la souveranité fiscale au domaine de la fiscalitè directe et pour cette raison en peut parler seulement d’une approximation des modèles nationales de la taxation directe des revenus du travail indépendant à fin de garantir les libertés européenne de l’établissement et de la prestation des services des travailleurs indépendants et les principes conventionnels de non-discrimination et de la non-différenciation fiscale. À la fin, c’est très intéressant à préciser si existe une corrélation entre les Traités fiscales et le Droit fiscal européen en ce qui concerne à la notion de revenus du travail indépendant et les principes fiscales. Par conséquent, la recherche se compléte avec l’analyse du régime fiscale des revenus du travail indépendant évidencé dans le Modèle de la Convention de l’OCDE et dans la Convention Italie-France concernant à l’élimination de la double imposition; une analyse laquelle, en analogie avec le droit fiscal européen, précise l’approximation des revenus du travail indépendant avec les revenus de l’entreprise en se référant le Modèle de la Convention de l’OCDE et l’absence d’un modèle conventionel de la taxation directe des revenus du travail indépendant, mais, à différence du droit fiscal européen, évidence la présence des certains critéres adoptés par la normative conventionnelle à fin de garantir l’arrêt de la double imposition et le principe de la non-discrimination que, en substance, sont points de convérgence avec le droit fiscal européen. En autre, l’analyse de la normative conventionnelle de l’OCDE, à différence de la normative conventionnelle relative à la Convention de l’élimination de la double imposition finalisée par l’Italie et la France, évidence une évolution de la fiscalitè directe en ce qui concerne aux travailleurs indépendants laquelle se vérifie à l’adoption des critéres de la fiscalitè directe des revenus des sociétés et de la quelle en se dérive l’approximation de la notion des revenus du travail indépendant avec la notion des revenus de l’entreprise, en substance, revenus provenant par les activités économiques. Compte tenu de ce qui précède, c’est clair la convérgence parmis les législations nationales de la taxation directe des revenus du travail indépendant et la normative conventionnelle du Modèle de la Convention de l’OCDE et la normative europénne; une convérgence que confirme la nouvelle diréction vers la quelle s’adressent les notions et les modèles de la taxation directe des revenus du travail indépendant dans les systèmes nationals de la taxation directe: l’approximation avec les modèles nationales de la taxation directe des revenus des sociétés en vue de l’approximation des notions des revenus dérives par les activités économiques.
Resumo:
The objective of this work is to characterize the genome of the chromosome 1 of A.thaliana, a small flowering plants used as a model organism in studies of biology and genetics, on the basis of a recent mathematical model of the genetic code. I analyze and compare different portions of the genome: genes, exons, coding sequences (CDS), introns, long introns, intergenes, untranslated regions (UTR) and regulatory sequences. In order to accomplish the task, I transformed nucleotide sequences into binary sequences based on the definition of the three different dichotomic classes. The descriptive analysis of binary strings indicate the presence of regularities in each portion of the genome considered. In particular, there are remarkable differences between coding sequences (CDS and exons) and non-coding sequences, suggesting that the frame is important only for coding sequences and that dichotomic classes can be useful to recognize them. Then, I assessed the existence of short-range dependence between binary sequences computed on the basis of the different dichotomic classes. I used three different measures of dependence: the well-known chi-squared test and two indices derived from the concept of entropy i.e. Mutual Information (MI) and Sρ, a normalized version of the “Bhattacharya Hellinger Matusita distance”. The results show that there is a significant short-range dependence structure only for the coding sequences whose existence is a clue of an underlying error detection and correction mechanism. No doubt, further studies are needed in order to assess how the information carried by dichotomic classes could discriminate between coding and noncoding sequence and, therefore, contribute to unveil the role of the mathematical structure in error detection and correction mechanisms. Still, I have shown the potential of the approach presented for understanding the management of genetic information.
Resumo:
TGF-beta ist ein Schlüsselmolekül zellvermittelter Immuntoleranz. So spielt es neben seiner pleiotropen Rolle in Immunzellen auch bei der Tumorentwicklung eine große Rolle. Das TGF-beta hat bei der Tumorentwicklung eine duale Rolle. So dient es in frühen Phasen als Tumorsuppressor, währenddessen es in späten Phasen der Entwicklung als Tumorpromotor wirkt. Eine strikte Regulation des TGF-beta Signalweges ist daher für ein funktionierendes Immunsystem von essentieller Bedeutung. Die Ubiquitin Ligase Smurf2 ist dabei ein wichtiger negativ Regulator des TGF-beta Signalweges.In der vorliegenden Arbeit konnte eine neue Spleißform des Smurf2 (dE2Smurf2) aus murinen CD4+ T-Zellen isoliert werden, deren Funktion in vitro und in vivo in T-Lymphozyten untersucht worden ist. Für diese Spleißform konnte zudem eine humane Relevanz nachgewiesen werden. Mit Hilfe von Überexpressionen in Cos7 Zellen konnte eine veränderte Lokalisation der Smurf2 Spleißformen (WT und dE2) festgestellt werden. Dabei konnten lysosomale und endosomale Kompartimente bei der Kolokalisation mit dem dE2Smurf2 Konstrukt beobachtet werden. Das Spleißen des Exons2 führte dabei zu Änderungen der Topologie der N-terminalen C2-Domäne, wodurch sich eine veränderte Lokalisation in der Zelle beschreiben ließ. Mit der veränderten intrazellulären Verteilung erfuhr auch die Funktion der dE2Smurf2 Ubiquitin Ligase eine Änderung. So konnte überraschenderweise eine positive Signalinduktion des TGF-beta Signalweges beobachtet werden, was im Gegensatz zum beschriebenen WTSmurf2 stand. Durch eine Überexpression des dE2Smurf2 Proteins in T-Lymphozyten wurde der TGF-beta Signalweg in CD4+ und CD8+ Zellen positiv reguliert, dabei wurde der TGFbetaRII vermehrt exprimiert und gleichzeitig fand eine verstärkte Phosphorylierung der Transkriptionsfaktoren Smad2 und Smad3 nach TGF-beta Stimulation statt. Die transgenen T-Lymphozyten waren somit sensitiver gegenüber TGF-beta. Dies führte zur Hypothese, die durch Western Blot Analyse bestätigt werden konnte, daß das dE2Smurf2 nach Überexpression seine WT-Form bindet und dadurch degradiert. Die Degradation der Ubiquitin Ligase war dabei Smad7 abhängig. Zur Analyse des Einflusses der Ubiquitin Ligase dE2Smurf2 auf die Differenzierung von CD4+ T-Zellen, sowie ihre Rolle bei der T-Zell Proliferation, konnte gezeigt werden, daß durch die höhere Sensitivität gegenüber TGF-beta naive T-Zellen unter Einfluß von TGF-beta und IL6 vermehrt in TH17 Zellen differenzierten. Zudem konnte gezeigt werden, daß die Proliferationsrate transgener naiver CD4+ T-Zellen bei geringen Mengen von TGF-beta starkt vermindert war. Weiterhin konnte gezeigt werden, daß bei einer Differenzierung der naiven CD4+ T-Zellen in TH1 Zellen, diese signifkant weniger das proinflammatorische Zytokin INFγ produzierten.So zeigten in vivo Versuche, daß die transgenen Tiere in der Entwicklung von Kolorektalen Karzinomen protektiert waren. Sowohl im kolitisassiziierten Tumor Modell als auch bei der spontanen Entwicklung von Tumoren im APCmin Modell. Dies konnte zum einen auf eine deutlich verminderte Entzündung (geringere Produktion an Zytokinen durch verminderte Proliferation) des Darms und zum anderen durch eine stärkere Produktion an zytotoxischen Genen, wie Perforin, INFγ und Granzym B erklärt werden. Interessanterweise konnte jedoch im Transfer Kolitis Modell eher eine proinflammatorische Wirkung des dE2Smurf2 Proteins nachgewiesen werden. So wiesen die immundefizienten Mäuse, in denen die transgenen T-Zellen injiziert wurden, eine signifikant stärkere Kolitis auf als die Kontrollen. Dies konnte mit einer Überproduktion an IL17 sezernierenden T-Zellen erklärt werden. Klonierungsexperimente führten zudem zur Identifikation einer bisher nicht beschriebenen nicht kodierenden RNA. Diese zeigte in Kombination mit dem dE2Smurf2 Protein in einer Reportergen Analyse eine Hyperaktivierung des Smad3 Promotors. Diese Daten liefern zum einen ein genaueres Modell über die Regulation des TGF-beta Signalweges sowie wichtige Erkenntnisse zur Pathophysiologie chronisch entzündlicher Darmerkrankung und daraus resultierende Tumorerkrankungen. So entwickelt sich das dE2Smurf2, Teil des TGF-beta Signalweges, als attraktives Zielprotein für die Modulation von chronisch entzündlichen Darmerkrankungen und (kolitisassoziierte) Kolonkarzinomen.
Resumo:
Die Entstehung eines Marktpreises für einen Vermögenswert kann als Superposition der einzelnen Aktionen der Marktteilnehmer aufgefasst werden, die damit kumulativ Angebot und Nachfrage erzeugen. Dies ist in der statistischen Physik mit der Entstehung makroskopischer Eigenschaften vergleichbar, die von mikroskopischen Wechselwirkungen zwischen den beteiligten Systemkomponenten hervorgerufen werden. Die Verteilung der Preisänderungen an Finanzmärkten unterscheidet sich deutlich von einer Gaußverteilung. Dies führt zu empirischen Besonderheiten des Preisprozesses, zu denen neben dem Skalierungsverhalten nicht-triviale Korrelationsfunktionen und zeitlich gehäufte Volatilität zählen. In der vorliegenden Arbeit liegt der Fokus auf der Analyse von Finanzmarktzeitreihen und den darin enthaltenen Korrelationen. Es wird ein neues Verfahren zur Quantifizierung von Muster-basierten komplexen Korrelationen einer Zeitreihe entwickelt. Mit dieser Methodik werden signifikante Anzeichen dafür gefunden, dass sich typische Verhaltensmuster von Finanzmarktteilnehmern auf kurzen Zeitskalen manifestieren, dass also die Reaktion auf einen gegebenen Preisverlauf nicht rein zufällig ist, sondern vielmehr ähnliche Preisverläufe auch ähnliche Reaktionen hervorrufen. Ausgehend von der Untersuchung der komplexen Korrelationen in Finanzmarktzeitreihen wird die Frage behandelt, welche Eigenschaften sich beim Wechsel von einem positiven Trend zu einem negativen Trend verändern. Eine empirische Quantifizierung mittels Reskalierung liefert das Resultat, dass unabhängig von der betrachteten Zeitskala neue Preisextrema mit einem Anstieg des Transaktionsvolumens und einer Reduktion der Zeitintervalle zwischen Transaktionen einhergehen. Diese Abhängigkeiten weisen Charakteristika auf, die man auch in anderen komplexen Systemen in der Natur und speziell in physikalischen Systemen vorfindet. Über 9 Größenordnungen in der Zeit sind diese Eigenschaften auch unabhängig vom analysierten Markt - Trends, die nur für Sekunden bestehen, zeigen die gleiche Charakteristik wie Trends auf Zeitskalen von Monaten. Dies eröffnet die Möglichkeit, mehr über Finanzmarktblasen und deren Zusammenbrüche zu lernen, da Trends auf kleinen Zeitskalen viel häufiger auftreten. Zusätzlich wird eine Monte Carlo-basierte Simulation des Finanzmarktes analysiert und erweitert, um die empirischen Eigenschaften zu reproduzieren und Einblicke in deren Ursachen zu erhalten, die zum einen in der Finanzmarktmikrostruktur und andererseits in der Risikoaversion der Handelsteilnehmer zu suchen sind. Für die rechenzeitintensiven Verfahren kann mittels Parallelisierung auf einer Graphikkartenarchitektur eine deutliche Rechenzeitreduktion erreicht werden. Um das weite Spektrum an Einsatzbereichen von Graphikkarten zu aufzuzeigen, wird auch ein Standardmodell der statistischen Physik - das Ising-Modell - auf die Graphikkarte mit signifikanten Laufzeitvorteilen portiert. Teilresultate der Arbeit sind publiziert in [PGPS07, PPS08, Pre11, PVPS09b, PVPS09a, PS09, PS10a, SBF+10, BVP10, Pre10, PS10b, PSS10, SBF+11, PB10].
Resumo:
From the late 1980s, the automation of sequencing techniques and the computer spread gave rise to a flourishing number of new molecular structures and sequences and to proliferation of new databases in which to store them. Here are presented three computational approaches able to analyse the massive amount of publicly avalilable data in order to answer to important biological questions. The first strategy studies the incorrect assignment of the first AUG codon in a messenger RNA (mRNA), due to the incomplete determination of its 5' end sequence. An extension of the mRNA 5' coding region was identified in 477 in human loci, out of all human known mRNAs analysed, using an automated expressed sequence tag (EST)-based approach. Proof-of-concept confirmation was obtained by in vitro cloning and sequencing for GNB2L1, QARS and TDP2 and the consequences for the functional studies are discussed. The second approach analyses the codon bias, the phenomenon in which distinct synonymous codons are used with different frequencies, and, following integration with a gene expression profile, estimates the total number of codons present across all the expressed mRNAs (named here "codonome value") in a given biological condition. Systematic analyses across different pathological and normal human tissues and multiple species shows a surprisingly tight correlation between the codon bias and the codonome bias. The third approach is useful to studies the expression of human autism spectrum disorder (ASD) implicated genes. ASD implicated genes sharing microRNA response elements (MREs) for the same microRNA are co-expressed in brain samples from healthy and ASD affected individuals. The different expression of a recently identified long non coding RNA which have four MREs for the same microRNA could disrupt the equilibrium in this network, but further analyses and experiments are needed.
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Introgression of domestic cat genes into European wildcat (Felis silvestris silvestris) populations and reduction of wildcats’ range in Europe, leaded by habitat loss and fragmentation, are considered two of the main conservation problems for this endangered feline. This thesis addressed the questions related with the artificial hybridization and populations’ fragmentation, using a conservation genetics perspective. We combined the use of highly polymorphic loci, Bayesian statistical inferences and landscape analyses tools to investigate the origin of the geographic-genetic substructure of European wildcats (Felis silvestris silvestris) in Italy and Europe. The genetic variability of microsatellites evidenced that European wildcat populations currently distributed in Italy differentiated in, and expanded from two distinct glacial refuges during the Last Glacial Maximum. The genetic and geographic substructure detected between the eastern and western sides of the Apennine ridge, resulted by adaptation to specific ecological conditions of the Mediterranean habitats. European wildcat populations in Europe are strongly structured into 5 geographic-genetic macro clusters corresponding to: the Italian peninsular & Sicily; Balkans & north-eastern Italy; Germany eastern; central Europe; and Iberian Peninsula. Central European population might have differentiated in the extra-Mediterranean Würm ice age refuge areas (Northern Alps, Carpathians, and the Bulgarian mountain systems), while the divergence among and within the southern European populations might have resulted by the Pleistocene bio geographical framework of Europe, with three southern refugia localized in the Balkans, Italian Peninsula and Iberia Peninsula. We further combined the use of most informative autosomal SNPs with uniparental markers (mtDNA and Y-linked) for accurately detecting parental genotypes and levels of introgressive hybridization between European wild and domestic cats. A total of 11 hybrids were identified. The presence of domestic mitochondrial haplotypes shared with some wild individuals led us to hypnotize the possibility that ancient introgressive events might have occurred and that further investigation should be recommended.
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In many application domains data can be naturally represented as graphs. When the application of analytical solutions for a given problem is unfeasible, machine learning techniques could be a viable way to solve the problem. Classical machine learning techniques are defined for data represented in a vectorial form. Recently some of them have been extended to deal directly with structured data. Among those techniques, kernel methods have shown promising results both from the computational complexity and the predictive performance point of view. Kernel methods allow to avoid an explicit mapping in a vectorial form relying on kernel functions, which informally are functions calculating a similarity measure between two entities. However, the definition of good kernels for graphs is a challenging problem because of the difficulty to find a good tradeoff between computational complexity and expressiveness. Another problem we face is learning on data streams, where a potentially unbounded sequence of data is generated by some sources. There are three main contributions in this thesis. The first contribution is the definition of a new family of kernels for graphs based on Directed Acyclic Graphs (DAGs). We analyzed two kernels from this family, achieving state-of-the-art results from both the computational and the classification point of view on real-world datasets. The second contribution consists in making the application of learning algorithms for streams of graphs feasible. Moreover,we defined a principled way for the memory management. The third contribution is the application of machine learning techniques for structured data to non-coding RNA function prediction. In this setting, the secondary structure is thought to carry relevant information. However, existing methods considering the secondary structure have prohibitively high computational complexity. We propose to apply kernel methods on this domain, obtaining state-of-the-art results.
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The human cytochrome P450 3A4 (CYP3A4), the predominant but variably expressed cytochrome P450 in adult liver and small intestine is involved in the metabolism of over 50% of currently used drugs. Its paralog CYP3A5 plays a crucial role in the disposition of several drugs with low therapeutic index, including tacrolimus. Limited information is available for the CYP3A5 transcriptional regulation and its induction by xenobiotics remains controversial. In the first part of this study, we analysed the CYP3A5 transcriptional regulation and its induction by xenobiotics in vivo using transgenic mice. To this end, two transgenic strains were established by pronuclear injection of a plasmid, expressing firefly luciferase driven by a 6.2 kb of the human CYP3A5 promoter. A detailed analysis of both strains shows a tissue distribution largely reflecting that of CYP3A5 transcripts in humans. Thus, the highest luciferase activity was detected in the small intestine, followed by oesophagus, testis, lung, adrenal gland, ovary, prostate and kidney. However, no activity was observed in the liver. CYP3A5-luc transgenic mice were similarly induced in both sexes with either PCN or TCPOBOP in small intestine in a dose-dependent manner. Thus, the 6.2 kb upstream promoter of CYP3A5 mediates the broad tissue activity in transgenic mice. CYP3A5 promoter is inducible in the small intestine in vivo, which may contribute to the variable expression of CYP3A in this organ. rnThe hepato-intestinal level of the detoxifying oxidases CYP3A4 and CYP3A5 is adjusted to the xenobiotic exposure mainly via the xenosensor and transcriptional factor PXR. CYP3A5 is additionally expressed in several other organs lacking PXR, including kidney. In the second part of this study, we investigated the mechanism of the differential expression of CYP3A5 and CYP3A4 and its evolutionary origin using renal and intestinal cells, and comparative genomics. For this examination, we established a two-cell line models reflecting the expression relationships of CYP3A4 and CYP3A5 in the kidney and small intestine in vivo. Our data demonstrate that the CYP3A5 expression in renal cells was enabled by the loss of a suppressing Yin Yang 1 (YY1)-binding site from the CYP3A5 promoter. This allowed for a renal CYP3A5 expression in a PXR-independent manner. The YY1 element is retained in the CYP3A4 gene, leading to its suppression, perhaps via interference with the NF1 activity in renal cells. In intestinal cells, the inhibition of CYP3A4 expression by YY1 is abrogated by a combined activating effect of PXR and NF1 acting on their respective response elements located adjacent to the YY1-binding site on CYP3A4 proximal promoter. CYP3A4 expression is further facilitated by a point mutation attenuating the suppressing effect of YY1 binding site. The differential expression of CYP3A4 and CYP3A5 in these organs results from the loss of the YY1 binding element from the CYP3A5 promoter, acting in concert with the differential organ expression of PXR, and with the higher accumulation of PXR response elements in CYP3A4. rn
Resumo:
Im zentralen Nervensystem (ZNS) myelinisieren Oligodendrozyten neuronale Axone, indem sie ihre Zellfortsätze mehrfach um axonale Segmente wickeln. Die Ausbildung dieser multilamellaren Membranstapel ermöglicht eine saltatorische und damit rasche und energie-effiziente Erregungsleitung (Nave, 2010). Eine Schädigung des Myelins beeinträchtigt die Reizweiterleitung und führt zur Degeneration der Axone, wie es zum Beispiel bei der Multiplen Sklerose der Fall ist. Das Myelin basische Protein (MBP) ist ein Hauptbestandteil des Myelin und ist essentiell für die Kompaktierung der Myelinmembran (Wood et al., 1984). Die MBP mRNA wird in hnRNP A2 enthaltenen RNA Granulen in einem translations-inaktiven Zustand zu den distalen Fortsätzen transportiert. Vermittelt durch axonale Signale wird nach axo-glialem Kontakt die Translation von MBP ermöglicht (White et al., 2008). Der genaue Mechanismus der differentiellen Genregulation des MBP Proteins ist bisher nur unzureichend aufgeklärt. In der vorliegenden Arbeit konnte eine kleine regulatorische RNA (sncRNA) identifiziert werden, welche über die seed Region mit der MBP mRNA interagieren und die Translation regulieren kann. In primären Oligodendrozyten führt die Überexpression der sncRNA-715 zu reduzierten MBP Protein Mengen und die Blockierung der endogenen sncRNA-715 führt zu einer gesteigerten MBP Synthese. Interessanterweise korreliert während der Differenzierung der Oligodendrozyten in vitro und in vivo die Synthese des MBP Proteins invers mit der Expression der sncRNA-715. In Oligodendrozyten beeinflusst eine experimentell erhöhte sncRNA-715 Menge die Zellmorphologie und induziert Apoptose. Weiterhin ist sncRNA-715 in zytoplasmatischen granulären Strukturen lokalisiert und assoziiert mit MBP mRNA in hnRNP A2 Transport- Granula. Diese Ergebnisse lassen vermuten, dass sncRNA-715 ein Bestandteil der hnRNP A2 Granula sein könnte und dort spezifisch die Translation der MBP mRNA während des Lokalisationsprozesses inhibiert. In chronischen MS Läsionen sind Olig2+-Zellen zu finden. Obwohl die MBP mRNA in diesen Läsionen nachzuweisen ist, kann kein Protein synthetisiert werden. In dieser Arbeit konnte gezeigt werden, dass in diesen Läsionen die Expression der sncRNA-715 erhöht ist. SncRNA-715 könnte die Translation von MBP verhindern und folglich als Inhibitor der Remyelinisierung während des Krankheitsverlaufs fungieren. Schwann-Zellen sind die myelinisierenden Zellen im peripheren Nervensystem (PNS). Im Zuge der Myelinisierung wird die MBP mRNA in diesen Gliazellen ebenfalls in die distalen Fortsätze transportiert und dort lokal translatiert und in die Myelinmembran eingebaut (Trapp et al., 1987). Im Gegensatz zum ZNS ist im PNS nur wenig über den Transportmechanismus der mRNA bekannt (Masaki, 2012). Es ist es sehr wahrscheinlich, dass in Schwann-Zellen und Oligodendrozyten die Lokalisation und die translationale Hemmung der MBP mRNA ähnlichen Mechanismen unterliegen. In der vorliegenden Arbeit konnte gezeigt werden, dass hnRNP A2 und sncRNA-715 in Schwann-Zellen exprimiert werden und in zytoplasmatischen Granula-ähnlichen Strukturen lokalisiert sind. Während der Differenzierung dieser Gliazellen in vivo und in vitro korreliert die Expression der sncRNA-715 invers mit der Synthese des MBP Proteins. HnRNP A2 und sncRNA-715 scheinen in Schwann-Zellen assoziiert zu sein und könnten wie in Oligodendrozyten den Transport der MBP mRNA vermitteln.