Thrombozyten (Blutplättchen) sind die Vermittler der zellulären Hämostase. Ihre Fähigkeit zu Aggregieren und sich an das umgebende Gewebe verletzter Blutgefässe anzulagern, wird durch ein komplexes intrazelluläres Signaltransduktionsnetzwerk bestimmt, das sowohl aktivierende, als auch inhibierende Subnetzwerke beinhaltet. Das Verständnis dieser Prozesse ist von hoher medizinischer Bedeutung. Im Rahmen dieser Arbeit wurde die thrombozytäre Signaltransduktion sowohl mittels eines Boole'schen, als auch verschiedener dynamischer Modelle analysiert. Die Boole'sche Modellierung führte zu interessanten Erkenntnissen über das Zusammenwirken einzelner Subnetzwerke bei der Vermittlung irreversibler Plättchenaktivierung und zeigte Mechanismen der Interaktion mit dem hemmenden Prostaglandinsystem auf. Das Modell beinhaltet unter Anderem wichtige Systemkomponenten wie Calciumsignalgebung, Aktivierung von Schlüsselkinasen wie Src und PKC, Integrin-vermitteltes outside-in sowie inside-out Signalgebung und autokrine ADP- und Thromboxan-Produktion. Unter Verwendung dieses Boole'schen Ansatzes wurde weiterhin das System-eigene Schwellenwertverhalten analysiert. Dabei stellte sich eine umgekehrt proportionale Abhängigkeit des relativen aktivierenden Reizes, der notwendig ist um den Schwellenwert zu überschreiten, vom absoluten hemmenden Input heraus. Das System adaptiert demnach an höhere Prostaglandinkonzentrationen durch eine Erhöhung der Sensitivität für Aktivatoren wie dem van-Willebrandt-Faktor und Kollagen, und ermöglicht somit auch unter lokal hemmenden Bedingungen eine Plättchen-vermittelte Hämostase. Der nächste Schritt bestand in der Implementierung eines Differentialgleichungs-basierten Modells der thrombozytären Prostaglandin-Signaltransduktion, um einen detaillierten Überblick über die Dynamik des inhibierenden Netzwerkteils zu erhalten. Die kinetischen Parameter dieses Modells wurden teilweise der Literatur entnommen. Der andere Teil wurde anhand einer umfassenden Kombination dosis- und zeitabhängiger cAMP und phospho-VASP Messdaten geschätzt. Der Prozess beinhaltete mehrere Iterationen aus Modellvorhersagen einerseits und experimentellem Design andererseits. Das Modell liefert die quantitativen Effekte der Prostaglandinrezeptoren IP, DP1, EP3 und EP4 und des ADP-Rezeptors P2Y12 auf die zugrunde liegende Signalkaskade. EP4 zeigt den stärksten Effekt in der aktivierenden Fraktion, wohingegen EP3 einen stärkeren inhibitorischen Effekt ausübt, als der durch Clopidogrel hemmbare ADP-Rezeptor P2Y12. Weiterhin wurden die Eigenschaften des negativen feedback-loops der PKA auf den cAMP-Spiegel untersucht, und eine direkte Beeinflussung der Adenylatzyklase durch die PKA festgestellt, in Form einer Reduzierung der maximalen katalytischen Geschwindigkeit. Die Identifizierbarkeit der geschätzten Parameter wurde mittels profile-Likelihood-Schätzung untersucht. In einem dritten Schritt wurde ein sowohl die aktivierenden, als auch die hemmenden Netzwerkteile umfassendes dynamisches Modell implementiert. Die Topologie dieses Modells wurde in Anlehnung an die des Boole'schen Modells auf der Basis von a priori Wissen festgelegt. Die Modellparameter wurden anhand von Western-Blot, Calcium- und Aggregationsmessungen geschätzt. Auch hier wurde die Identifizierbarkeit der Modellparameter durch profile-likelihood-Schätzung überprüft. Die bei niedrigen Ligandenkonzentrationen auftretende Reversibilität der Plättchen-Aggregation konnte mittels dieses Modells reproduziert werden. Jedoch zeigte sich bei mittleren ADP-Konzentrationen ein Fließgleichgewicht in einem teilweise aktivierten Zustand, und damit kein bistabiles Schwellenwertverhalten. Inwiefern dieses Verhalten durch einen Umgebungs-basierteren Mechanismus des Alles-Oder-Nichts-Verhaltens begründet wird, bei dem der Übergang von reversibler zu irreversibler Aggregation mehr durch parakrine Effekte des gesammten Thrombus bestimmt wird, als durch spezifische Signaltransduktionseigenschaften der einzelnen Zelle, müssen zukünftige Experimente zeigen. Insgesamt geben die erstellten Modelle interessante Einblicke in die Funktionsweise der Thrombozyten und ermöglichen die Simulation von pharmakologischen und genetischen Einflüssen, wie Rezeptormodulationen und knock-outs. Sie geben damit Implikationen zur Entstehung und Behandlung pathophysiologischer Zustände, und wertvolle Denkanstöße für die weitere Forschung. / Platelets represent the key-players in mammalian wound-healing. Their ability to aggregate and attach to the surrounding tissue of damaged blood vessels is thereby mediated by a complex signal -transduction network that comprises both activatory and inhibitory components. Due to its medical relevance and the lack of profound understanding, the network constitutes a convenient target for modeling. In a first step, a Boolean implementation of platelet signal transduction, comprising both activating and inhibiting networks components was established. This led to important information, on how the function of different subnetworks coalesce to fully activate the platelet and to promote irreversible aggregation. These include calcium signalling, activation of key-kinases like Akt, Src and PKC, Integrin outside-in as well as inside-out signalling and autocrin ADP and thromboxane production. In addition, using this data-free approach, the systems inherent threshold behaviour was analysed. The model revealed, that the relative activating strength, that transgresses the threshold, decreases with elevating PGI inputs and is also dependent on auto- and parakrin effects. Thus, the system adapts for higher prostaglandin-concentrations by increasing its sensitivity for activators like vWF and collagen, and thereby commits thrombocyte-dependent active processes such as wound healing even if subsequently blood prostaglandin-levels are higher in later time points. Secondly, an ordinary-differential-equation based model of platelet prostaglandin signalling was established, to get a detailed view of the dynamics governing the inhibiting network part. The kinetic parameters of the model were partly taken from literature and in part estimated along a comprehensive combination of time-course and dose-response measurements of cAMP and phosphorylated VASP. The process involved an iterative cycle between model predictions and experimental design. The model delivered the quantitative effects of the prostaglandin receptors IP, DP1, EP3, EP4 and the ADP receptor P2Y12 on the underlying signalling cascade. EP4 showed the strongest effect in the activating fraction, whereas EP3 turned out to exert a greater inhibiting impact than the commonly established pharmacological target P2Y12. Furthermore, the nature of the double-negative feedback loop constituted by PKA was examined, which disclosed a direct influence of PKA on adenylate cyclase, reducing its maximum catalytic speed. The identifiablility of all kinetic parameters was analysed via profile likelihood estimation. Finally, a dynamical model comprising both activating ADP-signalling through P2Y1 and P2Y12 receptors, and the inhibiting prostaglandin-pathway was implemented. The topology of this larger model was established on the basis of a priori knowledge. Model parameters were fitted along time-resolved Western-Blot, calcium and aggregation measurements. The identifiability of the model parameters was again check by means of profile likelihood estimation. Reversibility of platelet activation at low ADP concentrations could be reproduced by this model. However, at medium concentrations the system appears to assume a steady-state in a partly activated condition, thus not providing for a bistable threshold behaviour. If this behaviour is based on a more enviroment-based character of the observed point-of-no-return behaviour, in which the transition from reversible to irreversible aggregation is rather due to parakrin effects evoked by the entire cell array, than due to specific network properties present in the single cell, has to be investigated by further experiments. All in all, the models show interesting properties of platelet signal transduction, and give valuable implications for medical treatment and future research.

Thesis (Ph. D.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.

Poly(ADP-ribose) polymerase-1 (PARP-1) is an abundant nuclear protein that catalyzes the cleavage of NAD⁺ into nicotinamide and ADP-ribose moiety, the latter of which may be covalently attached as a branched polymer of poly(ADP-ribose) to PARP-1 itself (automodification) or to other nuclear acceptor proteins (transmodification). PARP-1 plays pivotal roles in many fundamental biological processes, including DNA repair, gene expression, cell death and cell cycle regulation. The multiple functions of PARP-1 in various cellular events correlate well to its roles in carcinogenesis, inflammatory response, neural function, and aging. PARP-1 has a modular organization comprising six independent domains (domain A-F). Each domain has its own characteristic function in PARP-1 enzymatic catalysis. In this dissertation, the solution structure of domain C was determined by multi-dimensional NMR spectroscopy. To complement the structural results, the requirement of domain C for PARP-1 catalysis was demonstrated using activity assays. This structure-function relationship study will help to unveil the mechanism of the PARP-1 reaction, and should provide valuable information for the design of more potent and selective PARP-1 inhibitors. The determination of poly(ADP-ribosyl)ation sites is critical for understanding the biological roles of this modification. However, the identification of poly(ADPribosyl)ation sites has countered some daunting technical limitations due to the difficulties resulting from the heterogenous nature of this modification. In this dissertation, a methodology based on mass spectrometry is developed and used to identify ADP-ribosylation sites within the automodification domain (domain D) of PARP-1. Using this method, we were able to unambiguously localize three ADPribosylation sites on domain D. This method can be readily applied to study the transmodification of other substrates as well as PARP-1 automodification. As many as seventeen PARP homologues exist in the human proteome. The functional redundancy of the multiple PARP proteins has complicated the analysis of mammalian PARP-1 function in vivo. We have probed the biological roles of PARP-1 using an artificial PARP-1 pathway in yeast, an organism lacking the endogenous PARP-1. Our data suggest the heterologously expressed human PARP-1 in yeast retains some similar functions as it does in mammalian cells. Furthermore, a new function of PARP-1 in ribosome biogenesis was proposed. / text

Poly(ADP)ribose (PAR) metabolism is essential to many cellular functions, including the maintenance of genomic integrity, the regulation of cell death mechanisms, as well as the regulation of gene expression. Recent work has uncovered many new players in the expanding effort to understand PAR metabolism and its cellular impact. PARP-1, the prototypical poly(ADP)ribose polymerase, was the first to be discovered, and has since been shown to be vital in the cellular response to DNA damage. Indeed, one report demonstrating that PARP-1 activation is required for apoptosis-inducing factor (AIF) release from mitochondria uncovered a novel link between DNA damage and signaling for cell death. The events following PARP activation, leading to signaling for AIF release, however, are still poorly understood. Based on our observations, we have developed a model to explain the nuclear/mitochondrial crosstalk that occurs following PARP activation. The work presented here answers several important questions regarding the relationship between ADP-ribose metabolism and mitochondria, including the role of PAR in signaling for the release of AIF, the presence of ADP-ribose metabolism protein members in mitochondria, and mitochondrial transcriptional effects following PARP activation. This work presents several novel findings, including the first report of a mitochondrial matrix isoform of poly(ADP-ribose) glycohydrolase (PARG) as well as direct evidence of mitochondria-associated PARP activity. Furthermore, it provides evidence for a novel effect of PARP-1 activation, in the specific transcriptional upregulation of the mitochondrial gene, NADH dehydrogenase, subunit 1 (ND1). Our data is consistent with the hypothesis that uncontrolled PARP activity results in energy metabolism dysfunction and cell death. Furthermore, it supports a model in which PARP activity is required for normal transcriptional responses in mitochondria following DNA damage. In total, this report adds to the body of work outlining the roles of PARP following DNA damage recognition and activation, demonstrating that ADP-ribose metabolism plays an important role in cell death regulation by both direct and indirect means.

Thesis (M.S. in genetics and cell biology)--Washington State University, August 2008. / Includes bibliographical references (p. 39-43).

Universiẗat, Diss.--Jena, 2007.

Konstanz, Univ., Diss., 2007.

Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.

Thèse (M.Sc.)--Université Laval, 2003. / Bibliogr.: f. 89-104. Publié aussi en version électronique.

Thèse (Ph. D.) -- Université Laval, 1998. / Bibliogr.: f. 195-232. Publié aussi en version électronique.