OPUS 4 | Universitätspublikationen

HuR promotes tumorigenic characteristics in hepatocellular carcinoma (2012)

Kathrin Schulz

In the absence of apparent mutations, alteration of gene expression patterns represents the key mechanism by which normal cells evolve to cancer cells. Gene expression is tightly regulated by posttranscriptional processes. Within this context, RNA-binding proteins (RBPs) represent fundamental factors, since they control mechanisms, such as mRNA-stabilization, -translation and -degradation. Human antigen R (HuR) was among the first RBPs that have been directly associated to carcinogenesis. HuR modulates the stability and translation of mRNAs which encode proteins facilitating various ‘hallmarks of cancer’, namely proliferation, evasion of growth suppression, angiogenesis, cell death resistance, invasion and metastasis. Furthermore, it is well established that tumor-promoting inflammation contributes to tumorigenesis. In this process, monocytes are attracted to the site of the tumor and educated towards a tumor-promoting macrophage phenotype. While HuR has been extensively studied in various tumor cell types, little is known about HuR in hepatocellular carcinoma (HCC). Thus, the aim of my work was to characterize the contribution of HuR to the development of cancer characteristics in HCC. I was particularly interested to investigate if HuR facilitates tumor-promoting inflammation, since a role for HuR has not been described in this context. To this end, I depleted HuR in HepG2 cells (HuR k/d) and used a co-culture model of HepG2 tumor spheroids and infiltrating monocytes to study the impact of HuR on the tumor microenvironment. I could show that depletion of HuR resulted in the reduction of cell numbers. Additionally, the expression of proliferation marker KI-67 and proto-oncogene c-Myc was reduced, supporting a proliferative role of HuR. Furthermore, exposure to cytotoxic staurosporine elevated apoptosis in HuR k/d cells compared to control cells. Concomitantly, the expression of the anti-apoptotic mediator B-cell lymphoma protein-2 (Bcl-2) was markedly reduced in the HuR k/d cells, pointing to an involvement of HuR in cell survival processes. Accordingly, a pro-survival function of HuR was also observed in tumor spheroids, since HuR k/d spheroids exhibited a larger necrotic core region at earlier time points and showed elevated numbers of dead cells compared to control (Ctr.) spheroids. Interestingly, HuR k/d spheroids isplayed reduced numbers of infiltrated macrophages, suggesting that HuR contributes to a tumor-promoting, inflammatory microenvironment by recruiting monocytes/macrophages to the tumor site. Aiming at identifying HuR-regulated factors responsible for the recruitment of monocytes, I found reduced levels of the chemokine interleukin 8 (IL-8) in supernatants of HuR k/d spheroids, supporting a critical involvement of HuR in the chemoattraction of monocytes. Analyzing supernatants of co-cultures of macrophages and HuR k/d or Ctr. spheroids revealed additional differences in chemokine secretion patterns. Interestingly, protein levels of many chemokines were elevated in co-cultures of HuR k/d spheroids compared to control co-cultures. Albeit enhanced chemokine secretion was observed, less monocytes are recruited into HuR k/d spheroids, further underlining the necessity of HuR in cancer related monocyte/macrophage attraction and infiltration. Differences between chemokine profiles of mono- and co-cultured spheroids could be attributable to changes in spheroid-derived chemokines as a result of the crosstalk with the immune cells. Provided the chemokines originate from monocytes/macrophages, the different secretion patterns suggest that HuR contributes to the modulation of the functional phenotype of infiltrated macrophages, since the tumorenvironment is critically involved in the shaping of macrophage phenotypes. Regions of low-oxygen (hypoxia) represent another critical feature of tumors. Therefore, I next analyzed the impact of HuR on the hypoxic response. Loss of HuR attenuated hypoxia-inducible factor (HIF) 2α expression after exposure to hypoxia, while HIF-1α protein levels remained unaltered. Considering previous results of our group, showing that HIF-2α depletion (HIF-2α k/d) resulted in the enhanced expression of HIF-1α protein, I aimed to determine the involvement of HuR in the compensatory upregulation of HIF-1α protein in HIF-2α k/d cells. I could demonstrate that not only total HuR protein levels, but specifically cytoplasmic HuR was elevated in HIF-2α depleted cells pointing to enhanced HuR activity. Silencing HuR in HIF-2α deficient cells attenuated enhanced HIF-1α protein expression, thus confirming a direct role of HuR in the compensatory upregulation of HIF-1α. This as also reflected on HIF-1α target gene expression. I further investigated the mechanism underlying the compensatory HIF-1α expression in HIF-2α deficient cells. Analyzing HIF-1α mRNA expression, I excluded enhanced HIF1-α transcription and stability to account for elevated HIF-1α expression in HIF-2α k/d cells. HIF-1α promoter activity assays confirmed the mRNA data. Furthermore, HIF-1α protein half-life was not elevated in HIF-2α k/d cells compared to control cells, indicating that HIF-1α protein stability is not altered in HIF-2α k/d cells. Analysis of the association of HIF-1α with the translational machinery using polysomal fractionation finally revealed an increased istribution of HIF-1α mRNA in the heavier polysomal fractions in HIF-2α k/d cells compared to control cells. Since augmented ribosome occupancy is an indicator for more efficient translation, I propose enhanced HIF-1α translation as underlying principle of the compensatory increase in HIF-1α protein levels in HIF-2α k/d cells. In summary, my results demonstrate that HuR is critical for the development of cancer characteristics in HCC. Future work analyzing the impact of HuR on tumor-promoting inflammation, specifically macrophage attraction and activation could provide new trategies to inhibit macrophage-driven tumor progression. Furthermore, I provide evidence that HuR contributes to the hypoxic response by regulating the expression of HIF-1α and HIF-2α. Targeting single HIF-isoforms for tumor therapy should be carefully considered, because of their compensatory regulation when one α-subunit is depleted. Thus, therapeutic strategies targeting factors such as HuR that control both α-subunits and at the same time prevent compensation might be more promising.

Development of cue integration with reward-mediated learning (2012)

Thomas Weißwange

This thesis will first introduce in more detail the Bayesian theory and its use in integrating multiple information sources. I will briefly talk about models and their relation to the dynamics of an environment, and how to combine multiple alternative models. Following that I will discuss the experimental findings on multisensory integration in humans and animals. I start with psychophysical results on various forms of tasks and setups, that show that the brain uses and combines information from multiple cues. Specifically, the discussion will focus on the finding that humans integrate this information in a way that is close to the theoretical optimal performance. Special emphasis will be put on results about the developmental aspects of cue integration, highlighting experiments that could show that children do not perform similar to the Bayesian predictions. This section also includes a short summary of experiments on how subjects handle multiple alternative environmental dynamics. I will also talk about neurobiological findings of cells receiving input from multiple receptors both in dedicated brain areas but also primary sensory areas. I will proceed with an overview of existing theories and computational models of multisensory integration. This will be followed by a discussion on reinforcement learning (RL). First I will talk about the original theory including the two different main approaches model-free and model-based reinforcement learning. The important variables will be introduced as well as different algorithmic implementations. Secondly, a short review on the mapping of those theories onto brain and behaviour will be given. I mention the most in uential papers that showed correlations between the activity in certain brain regions with RL variables, most prominently between dopaminergic neurons and temporal difference errors. I will try to motivate, why I think that this theory can help to explain the development of near-optimal cue integration in humans. The next main chapter will introduce our model that learns to solve the task of audio-visual orienting. Many of the results in this section have been published in [Weisswange et al. 2009b,Weisswange et al. 2011]. The model agent starts without any knowledge of the environment and acts based on predictions of rewards, which will be adapted according to the reward signaling the quality of the performed action. I will show that after training this model performs similarly to the prediction of a Bayesian observer. The model can also deal with more complex environments in which it has to deal with multiple possible underlying generating models (perform causal inference). In these experiments I use di#erent formulations of Bayesian observers for comparison with our model, and find that it is most similar to the fully optimal observer doing model averaging. Additional experiments using various alterations to the environment show the ability of the model to react to changes in the input statistics without explicitly representing probability distributions. I will close the chapter with a discussion on the benefits and shortcomings of the model. The thesis continues whith a report on an application of the learning algorithm introduced before to two real world cue integration tasks on a robotic head. For these tasks our system outperforms a commonly used approximation to Bayesian inference, reliability weighted averaging. The approximation is handy because of its computational simplicity, because it relies on certain assumptions that are usually controlled for in a laboratory setting, but these are often not true for real world data. This chapter is based on the paper [Karaoguz et al. 2011]. Our second modeling approach tries to address the neuronal substrates of the learning process for cue integration. I again use a reward based training scheme, but this time implemented as a modulation of synaptic plasticity mechanisms in a recurrent network of binary threshold neurons. I start the chapter with an additional introduction section to discuss recurrent networks and especially the various forms of neuronal plasticity that I will use in the model. The performance on a task similar to that of chapter 3 will be presented together with an analysis of the in uence of different plasticity mechanisms on it. Again benefits and shortcomings and the general potential of the method will be discussed. I will close the thesis with a general conclusion and some ideas about possible future work.

Strongly correlated ultracold bosons in an optical lattice (2012)

Yongqiang Li

In this thesis, we have investigated strongly correlated bosonic gases in an optical lattice, mostly based on a bosonic version of dynamical mean field theory and its real-space extension. Emphasis is put on possible novel quantum phenomena of these many-body systems and their corresponding underlying physics, including quantum magnetism, pair-superfluidity, thermodynamics, many-body cooling, new quantum phases in the presence of long-range interactions, and excitational properties. Our motivation is to simulate manybody phenomena relevant to strongly correlated materials with ultracold lattice gases, which provide an excellent playground for investigating quantum systems with an unprecedented level of precision and controllability. Due to their high controllability, ultracold gases can be regarded as a quantum simula- tor of many-body systems in solid-state physics, high energy astrophysics, and quantum optics. In this thesis, specifically, we have explored possible novel quantum phases, thermodynamic properties, many-body cooling schemes, and the spectroscopy of strongly correlated many-body quantum systems. The results presented in this thesis provide theoretical benchmarks for exploring quantum magnetism in upcoming experiments, and an important step towards studying quantum phenomena of ultracold gases in the presence of long-range interactions.

Conceptual design of an ALICE Tier-2 centre integrated into a multi-purpose computing facility (2012)

Mykhaylo Zynovyev

This thesis discusses the issues and challenges associated with the design and operation of a data analysis facility for a high-energy physics experiment at a multi-purpose computing centre. At the spotlight is a Tier-2 centre of the distributed computing model of the ALICE experiment at the Large Hadron Collider at CERN in Geneva, Switzerland. The design steps, examined in the thesis, include analysis and optimization of the I/O access patterns of the user workload, integration of the storage resources, and development of the techniques for effective system administration and operation of the facility in a shared computing environment. A number of I/O access performance issues on multiple levels of the I/O subsystem, introduced by utilization of hard disks for data storage, have been addressed by the means of exhaustive benchmarking and thorough analysis of the I/O of the user applications in the ALICE software framework. Defining the set of requirements to the storage system, describing the potential performance bottlenecks and single points of failure and examining possible ways to avoid them allows one to develop guidelines for selecting the way how to integrate the storage resources. The solution, how to preserve a specific software stack for the experiment in a shared environment, is presented along with its effects on the user workload performance. The proposal for a flexible model to deploy and operate the ALICE Tier-2 infrastructure and applications in a virtual environment through adoption of the cloud computing technology and the 'Infrastructure as Code' concept completes the thesis. Scientific software applications can be efficiently computed in a virtual environment, and there is an urgent need to adapt the infrastructure for effective usage of cloud resources.

Ultrasonic and magnetic investigations in frustrated low-dimensional spin systems (2012)

Thanh Cong Pham

Dynamic nuclear polarization for magnetic resonance imaging : an in-bore approach (2012)

Jan G. Krummenacker

Nuclear Magnetic Resonance ("NMR") is a powerful and versatile technique relying on nuclei that posses a spin. Since its discovery more than 6 decades ago, NMR and related techniques has become a tool with innumerable applications throughout the fields of Physics, Chemistry, Biology and Medicine. Numerous Nobel Prizes have been awarded for work in the field and a multi billion dollar industry has developed on its basis. One of NMR's major shortcomings is its inherent lack of sensitivity. Because it relies on the Boltzmann populations of spin states with a minuscule Zeeman splitting, this is particularly true for room temperature experiments. As a result, in an enormous technological effort to enlarge the Zeeman splitting NMR magnets have been moving to higher and higher magnetic fields. However, even for proton spins possessing the largest magnetic moment of all nuclei, the degree of polarization that can be achieved in the strongest spectroscopic magnets available today (~24 T) at room temperature is merely ~ 8*(10 exp (-5)). In other words, this low polarization theoretically allows a sensitivity enhancement of 104 towards full polarization. Since Magnetic Resonance Imaging ("MRI") is based on the same principle, it shares this problem with NMR. Furthermore, for technical and physiological reasons full body MRI tomographs do not reach the magnetic field strengths of spectroscopic NMR magnets, making this even more of an issue for MRI. In consequence, MRI is chiefly restricted to detecting protons, while both MRI and NMR detection of 13C (or other low nuclei) under physiological conditions, i.e. low natural abundance of 13C and a low concentration of the respective substance, suffer from long acquisitions times that are necessary to obtain adequate signal to noise ratios ("SNR"). However, this drawback of NMR can be overcome. The enormous potential sensitivity increase of four orders of magnitude can - at least partially - be exploited by several hyperpolarization techniques, creating entirely new applications and fields of research. These hyperpolarization techniques comprise chemical approaches like Parahydrogen Induced Polarization ("PHIP") or Photochemically Induced Dynamic Nuclear Polarization ("Photo-CIDNP"), as well as physical techniques like optically pumped (noble) gases13, 14 or Dynamic Nuclear Polarization ("DNP"), which will be the focus of this work. A hyperpolarized substance will render a larger signal without being physically or chemically altered in any other way. It is therefore "marked" without any marker, making it an agent free contrast agent for MRI. DNP is a technique, in which hyperpolarization of nuclear spins is achieved by microwave (\MW") irradiation of unpaired electron spins in radicals, which are coupled to these nuclei, e.g. 1H, 13C or 15N. The electron spin population is perturbed if the microwave irradiation is resonant with the electron spin transition, which affects the polarization of hyperfine-coupled close nuclei. For large microwave power (i.e. saturating the electron spin transition) the orders of magnitude larger thermal electron spin polarization is effectively transferred to these nuclear spins in the sample. For proton spins the maximum polarization gain amounts to 660, whereas for 13C the sensitivity gain can be as large as 2600. In contrast to e.g. PHIP, which is restricted to specific reaction precursors, DNP is not limited to specific nuclei or hyperpolarization target molecules, making it a very versatile technique. DNP has been first proposed by Overhauser in 1953,15 and experimentally observed shortly thereafter in metals16 and liquids,17 both being systems with mobile electrons. In the 1960s and 70s, DNP was used as a spectroscopic tool in liquids, thoroughly mapping the effect in the low field regime. As well, several other transfer mechanisms were discovered, which are active in the solid state with localized electrons, namely the solid effect the cross effect and thermal mixing. The theory for all three of these mechanisms predicts reduced transfer efficiencies at higher magnetic fields. This fact and the lack of high frequency microwave sources to excite electron spins at magnetic field strengths above 1 T, effectively relegated DNP to a position of an interesting scientifi curiosity. In the early 1990s, DNP came to a renaissance, when DNP was performed at high field in solid state magic angle spinning ("MAS") experiments using high power gyrotron microwave sources. This pioneering work sparked a surge of new developments and applications. As well, this success triggered attempts to investigate also the potential of DNP in the liquid state at high magnetic fields, e.g. at 3.4 T35{38 and 9.2 T. To date, DNP can be considered one of the "hot topics" in the field of magnetic resonance, bringing about special issue in magnetic resonance journals and DNP sections on magnetic resonance conferences. This thesis deals with the development of an in-bore liquid state DNP polarizer for MRI applications operating in ow through mode at a magnetic field strength of 1.5 T. Following this introductory chapter, the theoretical background necessary to understand and interpret the experimental results is explained in chapter 2. Subsequently, chapter 3 deals with the issue of performing liquid state DNP at high magnetic fields and its challenges. The chapter comprises a quick overview of the necessary hardware, the experimental findings for various samples and the interpretation of these findings. along with the ramifications for the aim of this work. Chapter 4 deals with the issue of increasing sensitivity and contrast in MRI, in particular by means of DNP. The chapter illustrates the development of our polarizer by presenting the hardware that was developed and demonstrating its performance under various conditions. As well, several alternative approaches are introduced and compared to our approach. Finally, chapter 5 summarizes the findings and gives an outlook on further developments.

Hindu class and Hindu education system in Bali: Emergence, organization, and conception in the context of Indonesian educational and religious policies (2012)

Alexandra Landmann

The present study focuses on specific aspects in the organization of teaching religion in Indonesia. It analyses the position of religion within the Indonesian Basic Law, consequential legislation, and educational policies. How does this framework translate into national and regional policies pertaining to the emergence, institutionalization, and organization of the Hindu class and the Hindu education system in Bali from 1945 to 2008? Muslim majority Indonesia constitutes an interesting laboratory for doing fundamental research on religious plurality and transformations of religion. The model of organizing the religion class in Indonesia is rooted in a specific historical, socio-cultural, political, and legal context, which is fundamentally different to European models of religious education. In addition, in contrast to classical Islam and modern Islamic states, Indonesia recognizes Asian religions as equal in status with the religions of the book. Besides Islam and Christianity, Hindu Dharma and Buddhism were recognized as state funded religions in 1965. This recognition had important consequences for the Indonesian model of organizing five confessional religion classes and faith-based education systems. The Balinese are a rare case of a religious and ethnic minority being simultaneously an ethnic and religious majority. Therefore, the Balinese provide an outstanding case to analyze how Indonesia’s religious and educational policies do deal with that particular ethnic and religious minority. In addition, how do the Balinese themselves use the constitutional and legal framework to establish the Hindu religion class in public schools and a private Hindu education system from the level of pre-school to higher education? A qualitative examination was conducted basing on a combination of theoretical and empirical investigations. The province of Bali and three educational institutions were chosen, because the Balinese were the reformers of Indonesian Hindu Dharma and the inventors of the Hindu education system. As the study focuses on constitutional and legal contexts of the Hindu class and the Hindu education system, teachers’ professional education, and composition of curricula and textbooks, a qualitative approach was applied combining ethnographic fieldwork and case study research. In consequence, the subject positions the study in the academic disciplines of Religious Studies and Area Studies. Data were collected through bibliographical surveys and fieldwork. The amended 1945 Basic Law and consequential legislation give the same right to state sanctioned religions. The state is based on “One Supreme Lordship” prescribing national monotheism or monism. Indonesia’s spirited statehood is based on a religious, but not confessional interpretation. In addition, the strategy to manage religious plurality is authoritarian, as positive freedom of religion is limited to six state-funded religions, whereas negative religious freedom is not provided for. Despite the equal status of the six state funded religions, discriminative practices prevail with regard to funding those Asian religions. Notwithstanding, the Muslim majority Pancasila state can serve a model function for countries with illiberal politics in the Muslim world. The first objective of strategic and educational policies is to mould a citizen who has faith in God, follows the commands of God, and has morals. The dimension of spiritual intelligence in education is a particular Indonesian dimension of education, which Indonesian educational planners added to the UNESCO standards of student-centered learning throughout life. Indonesia organizes the religion class and faith-based education systems in a confessional but pluralistic style. The citizens are required to attend the religious class in the religion they adhere to instructed by a teacher of the same belief from elementary to higher education. In addition, the religious mark is a compulsory item in the school report, and whether a pupil/student stays back or is promoted to the next level depends, amongst other factors, on how the religion teacher grades the student. Unlike the Muslim or Christian based education systems, the Hindu education system is still marginal and minuscule. Its funding is discriminative. Funding and expansion are linked to national policies, and the personal networks of Hindu agents are given the mandate to organize the Hindu administration and education system.

Volumetric assessment of the therapeutic response of pediatric neuroblastoma (2012)

Ola Abdelmonem Hassan Ahmed

1 Purpose of the Study: The purpose of this retrospective study was to assess the volumetric changes of our institutional pediatric neuroblastoma in response to various therapeutic protocols. 2 Materials and Methods: A retrospective study was conducted on children with neuroblastoma from different anatomical locations including suprarenal, paraspinal, pelvic, mediastinal and cervical neuroblastoma primaries. These children underwent tumor-stage based therapeutic protocols in Johann Wolfgang Goethe University Hospital, Frankfurt am Main, Germany, between January 1996 and July 2008. The study included 72 patients (44 males and 28 females). Patient demographics (age and gender), disease-related symptoms, laboratory results (tumor biomarkers including ferritin, neuron specific enolase, and urine catecholamine) and histopathological reports were collected from the electronic medical archiving system and subsequently analyzed. Patients were classified into following groups according the anatomical origin of the primary neuroblastoma into: 1) Suprarenal neuroblastoma Group: This group included patients with neuroblastoma arising from the suprarenal gland. This group composed of 54 patients with male to female ratio (32:22). 2) Paravertebral neuroblastoma Group: This group composed of 6 male patients. 3) Mediastinal neuroblastoma Group: This group included patients with mediastinal neuroblastoma and composed of 3 patients (1 male and 2 females). 4) Pelvic neuroblastoma Group: This group included patients with pelvic neuroblastoma and composed of 6 patients (3 males and 3 females). 5) Cervical neuroblastoma Group: This group included patients with cervical neuroblastoma and composed of 2 male patients. 3 Results: The mean volume of all suprarenal neuroblastoma group involved in the study before therapy was 176.62 cm3 (SD: 234.15) range: 239.4-968.9cm3. The mean initial volume of all suprarenal neuroblastoma group who underwent observation protocol was 86.0378 cm3 (SD: 114.44) range: 5.2-347.94cm3. Volumetric evaluation of suprarenal neuroblastoma following observation (Wait and See) protocol revealed continuous reduction of the tumor volumes in a statistically significant manner during the follow up periods up to 12 months with p value of less than 0.05. The volumetric changes afterwards were statistically insignificant. The mean initial volume of all suprarenal neuroblastoma group who underwent primary surgery protocol was 42.4 cm3 (SD: 28.5) range: 7.5-90cm3. Complete surgical resection of the tumor was not feasible in all lesions due to local tumor extension and / or infiltration with the associated risk of injury of nearby organs or structures. However statistical analysis of the volumetric changes in the successive follow up periods did not reveal statistical significance. Volumetric estimation of the tumor in the subsequent follow up periods revealed significant changes within the period first (3-9 month periods). The changes afterwards were statistically non significant. On the other hand, the mean initial volume of all suprarenal neuroblastoma group who underwent combined chemotherapy and Stem cell transplantation protocol only without surgical interference was 99.98cm3 (SD:46.2) range: 48.48-160.48 cm3. In this group the volumetric changes were variable and difference in volumes in follow up was statistically non significant during the follow up period. The mean initial volume of all abdominal paravertebral neuroblastoma group was 249.197cm3 (SD: 249.63) range: 9.6-934cm3. The mean initial volume of all pelvic neuroblastoma group was 118.88cm3 (SD: 50.61) range: 73.4-173.4cm3. The mean initial volume of all mediastinal neuroblastoma group was 189.7cm3 (SD: 139.057) range: 10.7-415 cm3. The mean initial volume of all cervical neuroblastoma group was 189.7cm3 (SD: 139.057) range: 10.7-415 cm3. The volumetric measurements in the corresponding follow up periods according to the therapeutic protocol of abdominal paravertebral neuroblastoma, pelvic neuroblastoma, mediastinal and cervical neuroblastoma revealed significant change in the tumor volume within the early 3-6 months from the initial therapy while subsequently the tumor volumetric changes were statistically non significant. 4 Conclusion: In conclusion, the role of MRI volumetry in the evaluation of tumor response is dependent on the risk adapted concept of neuroblastoma with the combination of different imaging modalities as well the therapeutic protocol. MRI Volumetry in addition to new protocols such as Whole-body imaging and 3D visualization techniques are gaining more importance and acceptance.

T cell receptor diversity prevents T cell leukemia, lymphoma development / von Nabil Saleh Ahmed Al-Ghaili (2010)

Nabil al- Ghaili

Gene therapy is a promising therapeutic strategy that emerged from the attractive idea of targeting therapy at the molecular level. For many patients who suffer from genetic and acquired diseases that cannot be effectively treated by conventional treatment approaches gene therapy remains a huge hope of cure in spite of the hurdles regarding efficacy and safety that need to be overcome. The development of efficient gene transfer vehicles, mainly retroviral vectors, led to the first successful gene therapy trial, to treat patients suffering from X-linked severe combined immunodeficiency syndrome (X-SCID) using gene modified stem cells (Hacein-Bey-Abina, Le Deist et al. 2002). Despite the success of this trial, it revealed the danger of retroviral insertional mutagenesis as a major adverse event of gene therapy using gene-modified stem cells (Hacein-Bey-Abina, von Kalle et al. 2003). In contrast to stem cells, T cells are relatively resistant to insertional mutagenesis and transformation even after transduction with potent oncogenes using retroviral vectors (Newrzela, Cornils et al. 2008). However, mature T cells can self-renew, proliferate and survive for long periods. These criteria are supposed to render T cells prone to transformation. Therefore, the questions of mature T cells transformability and the control mechanism limiting their transformation are still elusive.

Functional characterization of NOSTRIN in signal transduction and vascular development (2011)

Igor Kovačević

NOSTRIN belongs to the recently defined F-BAR protein family. F-BAR proteins are multi-domain proteins, which serve as adaptors between plasma membrane and cytoskeleton components in processes such as membrane protrusion formation, endocytosis and migration. NOSTRIN encompasses a F-BAR domain at the N-terminus, which mediates membrane association, followed by a HR1 motif and an intermediate domain (ID) domain in the middle, and a SH3 domain at the C-terminus. The domain architecture and ability to form oligomers enable NOSTRIN to coordinate several interaction partners namely dynamin, caveolin, N-WASP and endothelial nitric oxide synthase (eNOS) in the process of eNOS trafficking. In this context NOSTRIN was originally identified and hence termed eNOS traffick inducer. NOSTRIN is expressed in vascularized tissues (e.g. liver and lung) and in primary endothelial cells. Aims of the present work were (1) to investigate if NOSTRIN is involved in other processes besides eNOS trafficking, (2) to analyse the function of NOSTRIN in vivo through knockdown of NOSTRIN in developing zebrafish and (3) to study the consequences of the loss of NOSTRIN on signal transduction in a primary cell culture model derived from NOSTRIN knockout mice. To study the possible involvement of NOSTRIN in other processes besides eNOS trafficking a yeast two-hybrid screen was performed in which fibroblast growth factor receptor 1 (FGFR1) was identified as a putative novel interaction partner of NOSTRIN. In a series of yeast two-hybrid, pulldown and co-immunoprecipitation experiments the interaction between NOSTRIN and FGFR1 was confirmed to occur between endogenously expressed proteins and determined to be direct and to depend on the ID domain of NOSTRIN and the 130 C-terminal amino acid residues of FGFR1. FGFR1 is activated by binding of fibroblast growth factors (FGFs) and induces several different signal transduction pathways (e.g. MAPK and Akt pathway). Overexpression of NOSTRIN in HeLa cells specifically enhanced FGF2-dependent MAPK activation. Accordingly, depletion of NOSTRIN attenuated FGF2-dependent MAPK activation and did not affect FGF2-induced Akt activation. In summary, NOSTRIN has been identified as a novel interaction partner of FGFR1 involved in FGF2-dependent signal transduction. The morpholino oligonucleotide-mediated knockdown of NOSTRIN in developing zebrafish caused vascular leakage and irregular vascular patterning e.g. a loss of the proper trajectory of intersegmental vessel and interruptions of the dorsal longitudinal anastomotic vessel. The vascular phenotype was consistent upon use of two different morpholinos and could be rescued in a dose dependent manner by the injection of zebrafish NOSTRIN mRNA. Detailed analysis involving confocal and time lapse microscopy in zebrafish with endothelial specific expression of EGFP revealed that the knockdown of NOSTRIN impacts in vivo on the migration and morphology of endothelial tip cells and leads to a reduction of filopodia number and length. Additionally a NOSTRIN knockout mouse was generated. The analysis of FGFR1 signal transduction in primary mouse lung endothelial cells (MLECs) from NOSTRIN knockout and wild type mice revealed that FGF2-dependent MAPK activation was attenuated in MLECs isolated from NOSTRIN knockout mice when compared to MLECs isolated from wild type mice. The effect of NOSTRIN on FGF2-dependent signal transduction seems to be specific, since VEGF-induced MAPK activation was not affected in NOSTRIN knockout MLECs. The importance of NOSTRIN for FGF2 signal transduction in vivo is demonstrated by the greatly impaired angiogenic response to FGF2 in NOSTRIN knockout mice in matrigel plug assay. In a detailed biochemical analysis it was discovered that NOSTRIN interacts with the activated small GTPase Rac1 and that overexpression of NOSTRIN enhances Rac1 activation. Furthermore, the interactions of NOSTRIN with both Rac1 and its GEF Sos1 are required for NOSTRIN-mediated activation of Rac1. In accordance, activation of Rac1 was not detected upon FGF2 stimulation in NOSTRIN knockout MLECs. In conclusion, the present work describes a novel function of the F-BAR protein NOSTRIN in FGFR1 signal transduction. Data presented in this work demonstrate that NOSTRIN is required for the assembly of a complex consisting of FGFR1, Sos1 and Rac1 and subsequently for the FGF2-dependent activation of Rac1 in endothelial cells.

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