Oligosilyl- und Stannylderivate des Kupfers

Benzyltris(trimethylsilyl)silan konnte durch Reaktion mit Lithiummethanid oder Alkalimetall-tert-butanolaten (M-OtBu, M = Na, K, Rb, Cs) in die entsprechenden Alkalimetall-benzylbis(trimethylsilyl)silanide (M-Bnz, Bnz = Si(SiMe3)2CH2Ph) überführt werden. Die Strukturen dieser Verbindungen weisen viele Gemeinsamkeiten mit den entsprechenden Hypersilylverbindungen (Hypersilyl bzw. Hyp = Si(SiMe3)3) auf. Mit Ausnahme der Lithiumverbindung weisen die Natrium-, Kalium- und Rubidiumverbindungen jedoch noch intramolekulare Wechselwirkungen des Benzylrestes mit den Alkalimetallkationen auf. Die Benzylbis(trimethylsilyl)silanide der Alkalimetalle eignen sich zur Darstellung von Kupfersilylverbindungen. So konnten heteroleptische Cuprate (Bnz-Cu-OtBu-, Bnz-Cu-Hyp-) und monoleptische Cuprate (CuBnz2-), aber auch das ungeladene Kupfer-benzyl-bis(trimethylsilyl)silanid hergestellt werden. Auf analoge Weise wurde versucht, Alkalimetall- und Kupferverbindungen des Phenylbis(trimethylsilyl)silanides herzustellen. Da aber bereits bei der Synthese der Alkalimetallverbindungen die entsprechenden Hypersilanide als schwer abtrennbare Nebenprodukte entstanden, konnten keine ausführlichen Untersuchungen angestellt werden. Es konnten die Natrium- und Kaliumsalze des Dihypersilylcuprates hergestellt und strukturell charakterisiert werden. Die Natriumverbindung wurde nur als Nebenprodukt einer Reaktion von Kupfer(I)-cyanid mit Natriumhypersilanid erhalten, die entsprechende Kaliumverbindung ließ sich jedoch mit guten Ausbeuten gezielt aus Kupfer(I)-tert-butanolat herstellen. Beide Verbindungen weisen ein hantelförmiges Hyp-Cu-Hyp-Anion auf, die THF- bzw. THP-koordinierten Kationen liegen isoliert vom Anion vor. Eine neue Klasse von Kupfersilylverbindungen konnten durch Reaktion von Kupfer(I)-cyanid mit Alkalimetallhypersilaniden erzeugt werden. Dabei entstehen heteroleptische Cyano-hypersilyl-cuprate. Großen Einfluss auf die Strukturen üben die Alkalimetallkationen und Lösungsmittelmoleküle aus. So findet man bei den Lithiumverbindungen zweikernige Kupferkomplexe, die je nach Lösungsmittelgehalt unterschiedliche Anordnungen der Cyanid- und Hypersilanidanionen aufweisen. Lediglich die Kaliumverbindung weist lineare Cyanid-Kupfer-Hypersilanid-Einheiten auf, wie man sie analog von Organyl-cyano-cupraten kennt. Trotz vieler Gemeinsamkeiten vieler Silyl- und entsprechender Stannylverbindungen bezüglich Struktur und Reaktivität, erwies sich die Darstellung von Kupferstannyl-verbindungen schwieriger als erwartet. Zwar konnte in einer mehrstufigen Reaktion Kupfer-tris(trimethylsilyl)stannanid erhalten werden, auftretende Zwischen- und Nebenprodukte weisen jedoch auf das Auftreten von Umlagerungen und Redoxprozesse hin, die bei entsprechenden Kupfersilylverbindungen nicht beobachtet wurden.

Transcriptional regulation and functional characterization of the tumor suppressor genes Hugl-1 and Hugl-2

Cancer is a multi-step process in which both the activation of oncogenes and the inactivation of tumor suppressor genes alter the normal cellular programs to a state of proliferation and growth. The regulation of a number of tumor suppressor genes and the mechanism underlying the tumor suppression have been intensively studied. Hugl-1 and Hugl-2, the human homologues of Drosophila lgl are shown to be down-regulated in a variety of cancers including breast, colon, lung and melanoma, but the mechanism responsible for loss of expression is not yet known. The regulation of gene expression is influenced by factors inducing or repressing transcription. The present study was focused on the identification and characterization of the active promoters of Hugl-1 and Hugl-2. Further, the regulation of the promoter and functional consequences of this regulation by specific transcription factors was analyzed. Experiments to delineate the function of the mouse homologue of Hugl-2, mgl2 using transgenic mice model were performed. This study shows that the active promoter for both Hugl-1 and Hugl-2 is located 1000bp upstream of transcription start sites. The study also provides first insight into the regulation of Hugl-2 by an important EMT transcriptional regulator, Snail. Direct binding of Snail to four E-boxes present in Hugl-2 promoter region results in repression of Hugl-2 expression. Hugl-1 and Hugl-2 plays pivotal role in establishment and maintenance of cell polarity in a diversity of cell types and organisms. Loss of epithelial cell polarity is a prerequisite for cancer progression and metastasis and is an important step in inducing EMT in cells. Regulation of Hugl-2 by Snail suggests one of the initial events towards loss of epithelial cell polarity during Snail-mediated EMT. Another important finding of this study is the induction of Hugl-2 expression can reverse the Snail-driven EMT. Inducing Hugl-2 in Snail expressing cells results in the re-expression of epithelial markers E-cadherin and Cytokeratin-18. Further, Hugl-2 also reduces the rate of tumor growth, cell migration and induces the epithelial phenotype in 3D culture model in cells expressing Snail. Studies to gain insight into the signaling pathways involved in reversing Snail-mediated EMT revealed that induction of Hugl-2 expression interferes with the activation of extracellular receptor kinase, Erk. Functional aspects of mammalian lgl in vivo was investigated by establishing mgl2 conditional knockout mice. Though disruption of mgl2 gene in hepatic tissues did not alter the growth and development, ubiquitous disruption of mgl2 gene causes embryonic lethality which is evident by the fact that no mgl2-/- mice were born.

Isolierung und Charakterisierung der ER-residenten Aminopeptidase ERMP1 und Untersuchung ihrer Funktion in der Prozessierung MHC I restringierter CTL Epitope

Die effiziente Generierung von Peptid-Epitopen aus zelleigenen oder viralen Proteinen für die Präsentation auf „Major Histocompatibility Complex I“ (MHC I) Molekülen ist essentiell für die Aktivierung des adaptiven Immunsystems und die Effektorfunktion der CD8+ zytotoxischen T-Zellen (CTLs). CTLs erkennen diese Peptide in Kontext mit MHC I Molekülen über ihren spezifischen T-Zellrezeptor (TCR). Die Generierung dieser Epitope ist das Resultat eines komplexen proteolytischen Prozesses, der im Zytosol und im endoplasmatischen Retikulum (ER) stattfindet. Im Zytosol generiert das Proteasom N-terminal verlängerte Epitop-Vorläufer. Diese werden durch weitere zytosolische Proteasen abgebaut, es sei denn, sie werden durch den „transporter associated with antigen processing“ (TAP) in das ER transportiert. Dort werden sie durch Aminopeptidasen getrimmt, um den Bindungsvoraussetzungen der MHC I Moleküle zu genügen. Im murinen System ist die „ER aminopeptidase associated with antigen processing“ (ERAAP) die bislang einzige beschriebene Aminopeptidase, die dieses N-terminale Trimming von CTL Epitopen vermitteln kann. Das Profil der proteolytischen Aktivität in angereichertem murinen ER kann jedoch nicht allein durch die Aktivität von ERAAP erklärt werden, was auf die Anwesenheit weiterer Aminopeptidasen mit einer potentiellen Funktion in der Antigenprozessierung hinweist. In dieser Arbeit konnte die immunologisch bislang noch nicht beschriebene Aminopeptidase ERMP1 (endoplasmic reticulum metallopeptidase 1) im murinen ER identifiziert werden. Nach Aufreinigung muriner Mikrosomen und anschließender Anionenaustausch-Chromatographie wurden die gesammelten Fraktionen mit fluorogenen Substraten auf Aminopeptidase-Aktivität getestet. Durch massenspektrometrische Analyse konnten in den beobachteten Peaks die schon beschriebenen Aminopeptidasen ERAAP, die „insulin regulated aminopeptidase“ IRAP und die immunologisch bislang nicht beschriebene Aminopeptidase ERMP1 identifiziert werden. Durch Fluoreszenzmikroskopie konnte die intrazelluläre Lokalisation von ERMP1 im ER durch Kolokalisation mit TAP verifiziert werden. Wie viele Komponenten des MHC I Prozessierungsweges wird auch die Expression von ERMP1 durch IFN-γ stimuliert. Dies macht ERMP1 zu einer potentiellen zweiten trimmenden Aminopeptidase im murinen ER. Überexpression von ERMP1 hat einen allelspezifischen Einfluss auf die globale MHC I Präsentation auf der Zelloberfläche und durch Überexpression und shRNA vermitteltes gene silencing konnte außerdem ein epitopspezifischer Effekt nachgewiesen werden. Da N-terminales Trimming durch ERAAP mit der Evasion von Tumoren und veränderter Immundominanz assoziiert wird, ist die detaillierte Charakterisierung der Aminopeptidase ERMP1 ein wichtiger Schritt zum Verständnis der MHC I Antigen-Prozessierung und der Generierung von CTL Epitopen im ER.

Verso il consumo sostenibile: i prodotti biologici nelle abitudini alimentari degli italiani

Scegliere di consumare in modo sostenibile significa passare ad un nuovo modello di consumo. Tale modello richiede una maggiore consapevolezza e responsabilità da parte dei consumatori, unite all'adozione di nuovi stili di vita e di scelte d’acquisto, che permettano il raggiungimento di elevati livelli di benessere nel rispetto dell'ambiente. Un notevole sforzo è stato compiuto recentemente dai policy maker per incoraggiare il consumo sostenibile quali implementazioni dello sviluppo sostenibile. Ancora lunga, tuttavia, è la strada da percorrere per raggiungere pienamente questo obiettivo. Tra i prodotti sostenibili, il biologico si è rivelato di gran lunga il più rappresentativo: le statistiche di questo mercato mostrano, infatti, tendenze positive, sebbene il consumo risulti ancora eterogeneo e contenuto rispetto al consumo di alimenti convenzionali. Ciò mostra che il comportamento dei consumatori non è ancora abbastanza reattivo alle suddette politiche. Il presente studio si propone di contribuire alla ricerca sul consumo sostenibile approfondendo i fattori che incoraggiano o impediscono il consumo di prodotti alimentari biologici in Italia. Adottando un nuovo approccio si cerca di capire come i diversi segmenti di diete alimentari affrontino gli alimenti biologici in termini di consumi e di atteggiamenti. Un'analisi multivariata a più fasi è stata condotta su un campione di 3.004 consumatori. Un’analisi delle componenti principali non lineare è stata applicata alle variabili ordinali che misurano il consumo di ventuno categorie di alimenti. Successivamente è stata applicata la cluster analysis che ha dato luogo a quattro segmenti di abitudini alimentari. I prodotti biologici sono diventati parte delle abitudini alimentari in Italia in quasi un terzo della popolazione. Il consumo sembra essersi affermato soprattutto nel segmento con abitudini alimentari sane. Una scarsa attenzione ad una dieta sana, gli stili di vita, il reddito, l'accessibilità, la mancanza di consapevolezza condizionano le abitudini alimentari a scapito di un consumo più sostenibile.

Modelli compartimentali per l'analisi di segnali ottenuti tramite DCE MRI per studi di perfusione epatica

Il presente lavoro di tesi si inserisce all'interno di uno studio dal titolo: "Strategia di posizionamento multi-step come approccio pragmatico per ridurre il rischio di encefalopatia epatica post-TIPS (shunt trans-giugulare porto-sistemico intraepatico) in pazienti cirrotici con ascite refrattaria". Il progetto di tesi si è concentrato sull'analisi dei segnali ottenuti tramite DCE MRI, con lo scopo di implementare in ambiente MatLab due modelli differenti (Dual input - Mono compartment e Dual input - Dual compartment) che descrivono la cinetica del tracciante all'interno del sistema vascolare epatico e valutare l'efficacia dei parametri di perfusione associati nella descrizione delle variazioni in termini di microcircolazione introdotte dall'inserimento del TIPS. Inizialmente si sono voluti valutare, tramite simulazione, gli effetti in termini di amplificazione del rumore e stima dei parametri perfusionali dell'approssimazione lineare nella conversione da intensità di segnale MR a concentrazione di mezzo di contrasto. Successivamente, sempre attraverso simulazioni, per entrambi i modelli considerati è stato scelto uno schema di model-fitting e quindi testata l'affidabilità in termini di accuratezza e precisione delle stime dei parametri ottenute in funzione del livello di rumore associato alle curve di intensità di segnale. Parallelamente all'implementazione dei modelli per la stima di parametri di perfusione, sono stati realizzati dei phantom con l'obiettivo di simulare il parenchima epatico prima e dopo l'arrivo del mezzo di contrasto e poter testare la sequenza utilizzata durante l'acquisizione dei dati su paziente. Infine sono stati considerati gli esami di DCE MRI effettuati su un campione di nove pazienti pre e post-TIPS, utilizzando per l'analisi dei segnali entrambi i modelli implementati in fase di simulazione e successivamente valutando le variazioni nel valori associati ai parametri di perfusione introdotte dall'inserimento del TIPS.

Live cell imaging techniques to study T cell trafficking across the blood-brain barrier in vitro and in vivo

BACKGROUND The central nervous system (CNS) is an immunologically privileged site to which access for circulating immune cells is tightly controlled by the endothelial blood-brain barrier (BBB) located in CNS microvessels. Under physiological conditions immune cell migration across the BBB is low. However, in neuroinflammatory diseases such as multiple sclerosis, many immune cells can cross the BBB and cause neurological symptoms. Extravasation of circulating immune cells is a multi-step process that is regulated by the sequential interaction of different adhesion and signaling molecules on the immune cells and on the endothelium. The specialized barrier characteristics of the BBB, therefore, imply the existence of unique mechanisms for immune cell migration across the BBB.

An efficient framework for photon Monte Carlo treatment planning

Currently photon Monte Carlo treatment planning (MCTP) for a patient stored in the patient database of a treatment planning system (TPS) can usually only be performed using a cumbersome multi-step procedure where many user interactions are needed. This means automation is needed for usage in clinical routine. In addition, because of the long computing time in MCTP, optimization of the MC calculations is essential. For these purposes a new graphical user interface (GUI)-based photon MC environment has been developed resulting in a very flexible framework. By this means appropriate MC transport methods are assigned to different geometric regions by still benefiting from the features included in the TPS. In order to provide a flexible MC environment, the MC particle transport has been divided into different parts: the source, beam modifiers and the patient. The source part includes the phase-space source, source models and full MC transport through the treatment head. The beam modifier part consists of one module for each beam modifier. To simulate the radiation transport through each individual beam modifier, one out of three full MC transport codes can be selected independently. Additionally, for each beam modifier a simple or an exact geometry can be chosen. Thereby, different complexity levels of radiation transport are applied during the simulation. For the patient dose calculation, two different MC codes are available. A special plug-in in Eclipse providing all necessary information by means of Dicom streams was used to start the developed MC GUI. The implementation of this framework separates the MC transport from the geometry and the modules pass the particles in memory; hence, no files are used as the interface. The implementation is realized for 6 and 15 MV beams of a Varian Clinac 2300 C/D. Several applications demonstrate the usefulness of the framework. Apart from applications dealing with the beam modifiers, two patient cases are shown. Thereby, comparisons are performed between MC calculated dose distributions and those calculated by a pencil beam or the AAA algorithm. Interfacing this flexible and efficient MC environment with Eclipse allows a widespread use for all kinds of investigations from timing and benchmarking studies to clinical patient studies. Additionally, it is possible to add modules keeping the system highly flexible and efficient.

Selective elevation of c-{\it myc} RNA transcripts during clonal evolution of N-methyl-N-nitrosourea induced thymic lymphomas in AKR/J mice

Untreated AKR mice develop spontaneous thymic lymphomas by 6-12 months of age. Lymphoma development is accelerated when young mice are injected with the carcinogen N-methyl-N-nitrosourea (MNU). Selected molecular and cellular events were compared during the latent period preceding "spontaneous" (retrovirally-induced) and MNU-induced thymic lymphoma development in AKR mice. These studies were undertaken to test the hypothesis that thymic lymphomas induced in the same inbred mouse strain by endogenous retroviruses and by a chemical carcinogen develop by different mechanisms.^ Immunofluorescence analysis of differentiation antigens showed that most MNU-induced lymphomas express an immature CD4-8+ profile. In contrast, spontaneous lymphomas represent each of the major lymphocyte subsets. These data suggest involvement of different target populations in MNU-induced and spontaneous lymphomas. Analyses at intervals after MNU treatment revealed selective expansion of the CD4-8+ J11d+ thymocyte subset at 8-10 weeks post-MNU in 68% of the animals examined, suggesting that these cells are targets for MNU-induced lymphomagenesis. Untreated age-matched animals showed no selective expansion of thymocyte subsets.^ Previous data have shown that both spontaneous and MNU-induced lymphomas are monoclonal or oligoclonal. Distinct rearrangement patterns of the J$\sb2$ region of the T-cell receptor $\beta$-chain showed emergence of clonal thymocyte populations beginning at 6-7 weeks after MNU treatment. However, lymphocytes from untreated animals showed no evidence of clonal expansion at the time intervals investigated.^ Activation of c-myc frequently occurs during development of B- and T- cell lymphomas. Both spontaneous and MNU-induced lymphomas showed increased c-myc transcript levels. Increased c-myc transcription was first detected at 6 weeks post-MNU, and persisted throughout the latent period. However, untreated animals showed no increases in c-myc transcripts at the time intervals examined. Another nuclear oncogene, c-fos, did not display a similar change in RNA transcription during the latent period.^ These results supports the hypothesis that MNU-induced and spontaneous tumors develop by multi-step pathways which are distinct with respect to the target cell population affected. Clonal emergence and c-myc deregulation are important steps in the development of both MNU-induced and spontaneous tumors, but the onset of these events is later in spontaneous tumor development. ^

Prediction and prevention of psychosis: current progress and future tasks

Prevention of psychoses has been intensively investigated within the past two decades, and particularly, prediction has been much advanced. Depending on the applied risk indicators, current criteria are associated with average, yet significantly heterogeneous transition rates of ≥30 % within 3 years, further increasing with longer follow-up periods. Risk stratification offers a promising approach to advance current prediction as it can help to reduce heterogeneity of transition rates and to identify subgroups with specific needs and response patterns, enabling a targeted intervention. It may also be suitable to improve risk enrichment. Current results suggest the future implementation of multi-step risk algorithms combining sensitive risk detection by cognitive basic symptoms (COGDIS) and ultra-high-risk (UHR) criteria with additional individual risk estimation by a prognostic index that relies on further predictors such as additional clinical indicators, functional impairment, neurocognitive deficits, and EEG and structural MRI abnormalities, but also considers resilience factors. Simply combining COGDIS and UHR criteria in a second step of risk stratification produced already a 4-year hazard rate of 0.66. With regard to prevention, two recent meta-analyses demonstrated that preventive measures enable a reduction in 12-month transition rates by 54-56 % with most favorable numbers needed to treat of 9-10. Unfortunately, psychosocial functioning, another important target of preventive efforts, did not improve. However, these results are based on a relatively small number of trials; and more methodologically sound studies and a stronger consideration of individual profiles of clinical needs by modular intervention programs are required

Bargaining for power and information : an experimental and theoretical analysis of the interaction between institutions, externalities and adverse selection

Bargaining is the building block of many economic interactions, ranging from bilateral to multilateral encounters and from situations in which the actors are individuals to negotiations between firms or countries. In all these settings, economists have been intrigued for a long time by the fact that some projects, trades or agreements are not realized even though they are mutually beneficial. On the one hand, this has been explained by incomplete information. A firm may not be willing to offer a wage that is acceptable to a qualified worker, because it knows that there are also unqualified workers and cannot distinguish between the two types. This phenomenon is known as adverse selection. On the other hand, it has been argued that even with complete information, the presence of externalities may impede efficient outcomes. To see this, consider the example of climate change. If a subset of countries agrees to curb emissions, non-participant regions benefit from the signatories’ efforts without incurring costs. These free riding opportunities give rise to incentives to strategically improve ones bargaining power that work against the formation of a global agreement. This thesis is concerned with extending our understanding of both factors, adverse selection and externalities. The findings are based on empirical evidence from original laboratory experiments as well as game theoretic modeling. On a very general note, it is demonstrated that the institutions through which agents interact matter to a large extent. Insights are provided about which institutions we should expect to perform better than others, at least in terms of aggregate welfare. Chapters 1 and 2 focus on the problem of adverse selection. Effective operation of markets and other institutions often depends on good information transmission properties. In terms of the example introduced above, a firm is only willing to offer high wages if it receives enough positive signals about the worker’s quality during the application and wage bargaining process. In Chapter 1, it will be shown that repeated interaction coupled with time costs facilitates information transmission. By making the wage bargaining process costly for the worker, the firm is able to obtain more accurate information about the worker’s type. The cost could be pure time cost from delaying agreement or cost of effort arising from a multi-step interviewing process. In Chapter 2, I abstract from time cost and show that communication can play a similar role. The simple fact that a worker states to be of high quality may be informative. In Chapter 3, the focus is on a different source of inefficiency. Agents strive for bargaining power and thus may be motivated by incentives that are at odds with the socially efficient outcome. I have already mentioned the example of climate change. Other examples are coalitions within committees that are formed to secure voting power to block outcomes or groups that commit to different technological standards although a single standard would be optimal (e.g. the format war between HD and BlueRay). It will be shown that such inefficiencies are directly linked to the presence of externalities and a certain degree of irreversibility in actions. I now discuss the three articles in more detail. In Chapter 1, Olivier Bochet and I study a simple bilateral bargaining institution that eliminates trade failures arising from incomplete information. In this setting, a buyer makes offers to a seller in order to acquire a good. Whenever an offer is rejected by the seller, the buyer may submit a further offer. Bargaining is costly, because both parties suffer a (small) time cost after any rejection. The difficulties arise, because the good can be of low or high quality and the quality of the good is only known to the seller. Indeed, without the possibility to make repeated offers, it is too risky for the buyer to offer prices that allow for trade of high quality goods. When allowing for repeated offers, however, at equilibrium both types of goods trade with probability one. We provide an experimental test of these predictions. Buyers gather information about sellers using specific price offers and rates of trade are high, much as the model’s qualitative predictions. We also observe a persistent over-delay before trade occurs, and this mitigates efficiency substantially. Possible channels for over-delay are identified in the form of two behavioral assumptions missing from the standard model, loss aversion (buyers) and haggling (sellers), which reconcile the data with the theoretical predictions. Chapter 2 also studies adverse selection, but interaction between buyers and sellers now takes place within a market rather than isolated pairs. Remarkably, in a market it suffices to let agents communicate in a very simple manner to mitigate trade failures. The key insight is that better informed agents (sellers) are willing to truthfully reveal their private information, because by doing so they are able to reduce search frictions and attract more buyers. Behavior observed in the experimental sessions closely follows the theoretical predictions. As a consequence, costless and non-binding communication (cheap talk) significantly raises rates of trade and welfare. Previous experiments have documented that cheap talk alleviates inefficiencies due to asymmetric information. These findings are explained by pro-social preferences and lie aversion. I use appropriate control treatments to show that such consideration play only a minor role in our market. Instead, the experiment highlights the ability to organize markets as a new channel through which communication can facilitate trade in the presence of private information. In Chapter 3, I theoretically explore coalition formation via multilateral bargaining under complete information. The environment studied is extremely rich in the sense that the model allows for all kinds of externalities. This is achieved by using so-called partition functions, which pin down a coalitional worth for each possible coalition in each possible coalition structure. It is found that although binding agreements can be written, efficiency is not guaranteed, because the negotiation process is inherently non-cooperative. The prospects of cooperation are shown to crucially depend on i) the degree to which players can renegotiate and gradually build up agreements and ii) the absence of a certain type of externalities that can loosely be described as incentives to free ride. Moreover, the willingness to concede bargaining power is identified as a novel reason for gradualism. Another key contribution of the study is that it identifies a strong connection between the Core, one of the most important concepts in cooperative game theory, and the set of environments for which efficiency is attained even without renegotiation.

INCREASED EXPRESSION OF ONE OF TWO ADENOSINE DEAMINASE ALLELES IN A HUMAN CHORIOCARCINOMA CELL LINE FOLLOWING SELECTION WITH ADENINE NUCLEOSIDES

The human choriocarcinoma cell line JEG-3 is heterozygous at the adenosine deaminase (ADA) gene locus. Both allelic genes are under strong but incomplete repression causing a very low level expression of the gene locus. Because cytotoxic adenosine analogues such as 9-(beta)-D arabinofuranosyladenine (ara-A) and 9-(beta)-D xylofuranosyladenine (xyl-A) can be specifically detoxified by the action of ADA, these analogues were used to select for JEG-3 derived cells which had increased ADA expression. When JEG-3 cells were subjected to a multi-step, successively increasing dosage of either ara-A or xyl-A, resistant cells with increased ADA expression were generated. This increased ADA expression in the resistant cells was unstable, so that when the selective pressure was removed, cellular ADA expression would decrease. Subclone analysis of xyl-A resistant cells revealed that compared to parental JEG-3 cells, individual resistant cells had either elevated ADA levels or decreased adenosine kinase (ADK) levels or both. This altered ADA and ADK expression in the resistant cells were found to be independent events. Because of high endogenous tissue conversion factor (TCF) expression in the JEG-3 cells, the allelic nature of the increased ADA expression in most of the resistant cells could not be determined. However, several resistant subcloned cells were found to have lost TCF expression. These TCF('-) cells expressed only the ADA*2 allelic gene product. Cell fusion experiments demonstrated that the ADA*1 allelic gene was intact and functional in the A3-1A7 cell line. Chromosomal analysis of the A3-1A7 cells showed that they had no double-minutes or homogeneously staining chromosomal regions, although a pair of new chromosomes were found in these cells. Segregation analysis of the hybrid cells indicated that an ADA*2 allelic gene was probably located on this new chromosome. The analysis of the A3-1A7 cell line suggested that the expression of only ADA 2 in these cells was the result of possibly a cis-deregulation of the ADA gene locus or more probably an amplification of the ADA*2 allelic gene. Two effective positive selection systems for ADA('+) cells were also developed and tested. These selection systems should eventually lead to the isolation of the ADA gene.^

Insights into the biology of lymphatic metastasis

Recent data suggest that the generation of new lymphatic vessels (i.e. lymphangiogenesis) may be a rate-limiting step in the dissemination of tumor cells to regional lymph nodes. However, efforts to study the cellular and molecular interactions that take place between tumor cells and lymphatic endothelial cells have been limited due to a lack of lymphatic endothelial cell lines available for study. ^ I have used a microsurgical approach to establish conditionally immortalized lymphatic endothelial cell lines from the afferent mesenteric lymphatic vessels of mice. Characterization of lymphatic endothelial cells, and tumor-associated lymphatic vessels revealed high expression levels of VCAM-1, which is known to facilitate adhesion of some tumor cells to vascular endothelial cells. Further investigation revealed that murine melanoma cells selected for high expression of α4, a counter-receptor for VCAM-1, demonstrated enhanced adhesion to lymphatic endothelial cells in vitro, and increased tumorigenicity and lymphatic metastasis in vivo, despite similar lymphatic vessel numbers. ^ Next, I examined the effects of growth factors that regulate lymphangiogenesis, and report that several growth factors are capable of activating survival and proliferation pathways of lymphatic endothelial cells. The dual protein tyrosine kinase inhibitor AEE788 (EGFR and VEGFR-2) inhibited the activation of Akt and MAPK in lymphatic endothelial cells responding to multiple growth factors. Moreover, oral treatment of mice with AEE788 decreased lymphatic vessel density and production of lymphatic metastasis by human colon cancer cells growing in the cecum of nude mice. ^ In the last set of experiments, I investigated the surgical management of lymphatic metastasis using a novel model of sentinel lymphadenectomy in live mice bearing subcutaneous B16-BL6 melanoma. The data demonstrate that this procedure when combined with wide excision of the primary melanoma, significantly enhanced survival of syngeneic C57BL/6 mice. ^ Collectively, these results indicate that the production of lymphatic metastasis depends on lymphangiogenesis, tumor cell adhesion to lymphatic endothelial cells, and proliferation of tumor cells in lymph nodes. Thus, lymphatic metastasis is a multi-step, complex, and active process that depends upon multiple interactions between tumor cells and tumor associated lymphatic endothelial cells. ^

Improved Techniques for Acquisition and Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Detecting Vascular Permeability in the Central Nervous System

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a noninvasive technique for quantitative assessment of the integrity of blood-brain barrier and blood-spinal cord barrier (BSCB) in the presence of central nervous system pathologies. However, the results of DCE-MRI show substantial variability. The high variability can be caused by a number of factors including inaccurate T1 estimation, insufficient temporal resolution and poor contrast-to-noise ratio. My thesis work is to develop improved methods to reduce the variability of DCE-MRI results. To obtain fast and accurate T1 map, the Look-Locker acquisition technique was implemented with a novel and truly centric k-space segmentation scheme. In addition, an original multi-step curve fitting procedure was developed to increase the accuracy of T1 estimation. A view sharing acquisition method was implemented to increase temporal resolution, and a novel normalization method was introduced to reduce image artifacts. Finally, a new clustering algorithm was developed to reduce apparent noise in the DCE-MRI data. The performance of these proposed methods was verified by simulations and phantom studies. As part of this work, the proposed techniques were applied to an in vivo DCE-MRI study of experimental spinal cord injury (SCI). These methods have shown robust results and allow quantitative assessment of regions with very low vascular permeability. In conclusion, applications of the improved DCE-MRI acquisition and analysis methods developed in this thesis work can improve the accuracy of the DCE-MRI results.

INTEGRATIVE BIOMARKER IDENTIFICATION AND CLASSIFICATION USING HIGH THROUGHPUT ASSAYS

It is well accepted that tumorigenesis is a multi-step procedure involving aberrant functioning of genes regulating cell proliferation, differentiation, apoptosis, genome stability, angiogenesis and motility. To obtain a full understanding of tumorigenesis, it is necessary to collect information on all aspects of cell activity. Recent advances in high throughput technologies allow biologists to generate massive amounts of data, more than might have been imagined decades ago. These advances have made it possible to launch comprehensive projects such as (TCGA) and (ICGC) which systematically characterize the molecular fingerprints of cancer cells using gene expression, methylation, copy number, microRNA and SNP microarrays as well as next generation sequencing assays interrogating somatic mutation, insertion, deletion, translocation and structural rearrangements. Given the massive amount of data, a major challenge is to integrate information from multiple sources and formulate testable hypotheses. This thesis focuses on developing methodologies for integrative analyses of genomic assays profiled on the same set of samples. We have developed several novel methods for integrative biomarker identification and cancer classification. We introduce a regression-based approach to identify biomarkers predictive to therapy response or survival by integrating multiple assays including gene expression, methylation and copy number data through penalized regression. To identify key cancer-specific genes accounting for multiple mechanisms of regulation, we have developed the integIRTy software that provides robust and reliable inferences about gene alteration by automatically adjusting for sample heterogeneity as well as technical artifacts using Item Response Theory. To cope with the increasing need for accurate cancer diagnosis and individualized therapy, we have developed a robust and powerful algorithm called SIBER to systematically identify bimodally expressed genes using next generation RNAseq data. We have shown that prediction models built from these bimodal genes have the same accuracy as models built from all genes. Further, prediction models with dichotomized gene expression measurements based on their bimodal shapes still perform well. The effectiveness of outcome prediction using discretized signals paves the road for more accurate and interpretable cancer classification by integrating signals from multiple sources.

Binding of the HIV-1 gp120 -V3 to cellular glycosphingolipids is necessary for CXCR4 recruitment and infection

Infection by human immunodeficiency virus type 1 (HIV-1) is a multi-step process, and detailed analyses of the various events critical for productive infection are necessary to clearly understanding the infection process and identifying novel targets for therapeutic interventions. Evidence from this study reveals binding of the viral envelope protein to host cell glycosphingolipids (GSLs) as a novel event necessary for the orderly progression of the host cell-entry and productive infection by HIV-1. Data obtained from co-immunoprecipitation analyses and confocal microscopy showed that the ability of viral envelope to interact with the co-receptor CXCR4 and productive infection of HIV-1 were inhibited in cells rendered GSL-deficient, while both these activities were restored after reconstitution of the cells with specific GSLs like GM3. Furthermore, evidence was obtained using peptide-inhibitors of HIV-1 infection to show that binding of a specific region within the V3-loop of the envelope protein gp120 to the host cell GSLs is the trigger necessary for the CD4-bound gp120 to recruit the CXCR4 co-receptor. Infection-inhibitory activity of the V3 peptides was compromised in GSL-deficient cells, but could be restored by reconstitution of GSLs. Based on these findings, a revised model for HIV-1 infection is proposed that accounts for the established interactions between the viral envelope and host cell receptors while enumerating the importance of the new findings that fill the gap in the current knowledge of the sequential events for the HIV-1 entry. According to this model, post-CD4 binding of the HIV-1 envelope surface protein gp120 to host cell GSLs, mediated by the gp120-V3 region, enables formation of the gp120-CD4-GSL-CXCR4 immune-complex and productive infection. The identification of cellular GSLs as an additional class of co-factors necessary for HIV-1 infection is important for enhancing the basic knowledge of the HIV-1 entry that can be exploited for developing novel antiviral therapeutic strategies. ^