Biologische Hochschulschriften (Goethe-Universität)
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Characterization of mouse NOA1 : subcellular localizaion, G-Quadruplex binding and proteolysis
(2013)
Mitochondria contain their own protein synthesis machinery with mitoribosomes that are similar to prokaryotic ribosomes. The thirteen proteins encoded in the mitochondrial genome are members of the respiratory chain complexes that generate a proton gradient, which is the electromotoric force for ATP synthesis.
NOA1 (Nitric Oxide Associated Protein-1) is a nuclear encoded GTPase that positively influences mitochondrial respiration and ATP production. Although a role in mitoribosome assembly was assigned to NOA1 the underlying molecular mechanism is poorly understood. This work shows that the multi-domain protein NOA1 serves multiple purposes for the function of mitochondria. NOA1 is a dual localized protein that makes a detour through the nucleus before mitochondrial import. The nuclear shuttling is mediated by a nuclear localization signal and the now identified nuclear export signal. SELEX (Systemic Evolution of Ligands by Exponential Enrichment) analysis revealed a G-quadruplex binding motif that characterizes NOA1 as ribonucleoprotein (RNP). G-quadruplex binding was coupled to the GTPase activity and increased the GTP hydrolysis rate. The sequence of localization events and the identification of NOA1 being a RNP lead to the discussion of an alternative import pathway for RNPs into mitochondria. The short-lived NOA1 contains ClpX recognition motifs and is specifically degraded by the mitochondrial matrix protease ClpXP. NOA1 is the first reported substrate of ClpXP in higher eukaryotes and augments the contribution of the ClpXP protease for mitochondrial metabolism. To assess the direct action of NOA1 on the mitoribosome co-sedimentation assays were performed. They showed that the interaction of NOA1 and the mitoribosome is dependent on the GTPase function and the nascent peptide chain. In vitro, NOA1 facilitated the membrane insertion of newly translated and isotope labeled mitochondrial translation products into inverted mitochondrial inner membrane vesicles. In conclusion, NOA1 is a G-quadruplex-RNP that acts as mitochondrial membrane insertion factor for mtDNA-encoded proteins.
This thesis provides a comprehensive model of the molecular function of NOA1 and is the basis for future research. The identification of NOA1 as ClpXP substrate is a major contribution to the field of mitochondrial research.
In the past century, scientists have realized that venoms are a source of a number of natural substances presenting a wide range of pharmacological properties and often displaying a high specificity for their targets. Thus, the field of toxinology came into being, which is defined as the study of toxic substances of biological origin. Toxins are found in a wide variety of animals, including fish, cone snails, scorpions, snakes, and even some mammals. To be classified as venom, these must contain substances, i.e. toxins, which disturb physiological processes and must be deliberately delivered to the target animal. Snakes have evolved one of the most sophisticated mechanisms for venom delivery. Envenomation by snakebite can induce and inhibit aggregation/agglutination of platelets as well as inhibit/activate hemostasis, but also disrupt other physiological functions via neurotoxins and angioneurin growth factors. Snake venoms contain a substantial amount of C-type lectin-related proteins (CLRPs) which are known to function, notably, as integrin inhibitors. CLRPs are heterodimers composed of homologous α and β subunits which can assemble either covalently or noncovalently to oligomers, resulting in αβ, (αβ)2 and (αβ)4 structures. Some of the main targets of CLRPs are membrane receptors, coagulation factors, and proteins essential to hemostasis. The platelet collagen receptors GPVI and α2β1 integrin as well as the von Willebrand factor receptor GPIb play important roles in platelet activation and aggregation and are considered main targets of antithrombotic drugs. In this thesis, the integrin α2β1 is particularly considered as it is the sole collagen-binding integrin on platelets. Reduced expression of this platelet receptor results in dysfunction of platelet responses. Equivalently, overexpression of α2β1 integrin results in an increased risk of thrombosis. As a result, selective inhibitors of the collagen-α2β1 interaction could give rise to effective antithrombotic drugs. Integrins are large receptors which mediate cell-cell contacts and the binding of cells to the extracellular matrix (ECM). Therefore, they play a role in physiological processes, e.g. hemostasis and immunity, as well as in pathological processes, e.g. tumor angiogenesis and atherosclerosis. 18 α and 8 β integrin subunits, with nine α subunits containing an additional A domain, associate non-covalently to form 24 heterodimers with distinct binding specificities. Integrin collagen receptors are a subclass of four receptors which all utilize the β1 subunit. The α2β1 integrin is a collagen-binding receptor expressed not only on platelets, but also on endothelial and epithelial cells. Consequently, this integrin is also essential for cell adhesion and migration playing a role in angiogenesis as well as tumor metastasis. To date, there are five known antagonists of α2β1 integrin: EMS16, rhodocetin, vixapatin, and most recently rhinocetin and flavocetin-A. The first four have been shown to be specific for the integrin α2A domain, the major collagen-binding domain. All these antagonists are CLRPs and present new leads for drug design. In the past few years, many insights into the structure and function of rhodocetin were obtained. Monoclonal antibodies proved to be advantageous in disclosing this information, making them not only useful as therapeutic agents, but also as tools for protein characterization. The venom of the Vipera palaestinae snake was recently shown to contain an α2β1 integrin inhibitor, which prevented the integrin from binding collagen. This inhibitor, called vixapatin, was the initial focus of this dissertation. Vixapatin’s interaction with the α2β1 integrin needed further characterization on a molecular and cellular level to assess its medical potential and monoclonal antibodies were to be used as a tool. Originally, vixapatin had been isolated by reversed-phase high-performance liquid chromatography. To avoid the stringency of this method, for this study, it was replaced with gentler chromatographic methods. First, the α2β1 integrin inhibitor was isolated from the crude snake venom with affinity chromatography using the α2A domain as bait, establishing a method to quickly screen venoms for α2β1-binding proteins which affect the collagenintegrin interaction. The applicability of this method to other snake venoms was shown by isolating an α2A domain-specific toxin from the venom of Trimeresurus flavoviridis. To allow further characterization of both these toxins, gel filtration and ion exchange chromatography were employed to purify the protein without the α2A domain. These classical protein purification methods resulted in similar separation patterns of both the V. palaestinae and T. flavoviridis venom proteins. Purified proteins exhibiting the potential of inhibiting integrinbinding to collagen were analyzed by two-dimensional gel electrophoresis. Both VP-i and flavocetin-A, the integrin inhibitors from V. palaestinae and T. flavoviridis, respectively, were shown to have more complex structures than was evident from the purification. Each consisted of four low-molecular-weight proteins which assembled into two bands (for VP-i) or one single band (for flavocetin-A) under non-reducing conditions. Mass spectrometry analyses revealed VP-i to belong to the family of CLRPs, just like vixapatin does. However, these two proteins differed in their primary sequences and only showed homology to one another. The toxin purified from T. flavoviridis revealed this toxin to be flavocetin-A, a heterodimeric CLRP which had so far only been shown to have GPIb-binding activity. At the time of flavocetin-A’s purification, flavocetin-B was co-purified; flavocetin-B consists of the same two α and β subunits, plus an additional γ subunit. As no sequence information is known to date for the γ subunit, it may be one of the additional proteins purified here, along with an additional δ subunit. Therefore, the toxin isolated here may actually consist of four different subunits forming a tetramer of two different heterodimers, generating an (αβ)2(γδ)2 structure. This proposed (αβ)2(γδ)2 flavocetin-A structure has binding sites for both α2β1 integrin and GPIb, with no sterical overlap, as shown by affinity chromatography using the α2A domain and the extracellular domain of the GPIb receptor. The potential of VP-i and flavocetin-A to inhibit integrin-binding to type I collagen was shown during purification: Both toxins efficiently bind to the integrin α2A domain; also, VP-i and vixapatin bind to the A domain with the same affinity. Surface plasmon resonance showed the interaction of flavocetin-A with the α2β1 integrin to be extremely strong and association to be very fast. Furthermore, both toxins were shown to inhibit binding of the wildtype integrin to collagen: VP-i and flavocetin-A acted antagonistically on cell adhesion and cell migration. Initially, the interaction between VP-i and α2β1 integrin was to be further characterized with the help of monoclonal antibodies. However, this proved problematic, the procedure requiring various optimizations. Although, after expert consultation, some monoclonal antibodies could be obtained, the cells were extremely sensitive and gave unsatisfactory results when tested as detection tools in Western blot and immunoassays. Concluding, two novel α2β1 integrin inhibitors were discovered: VP-i and flavocetin-A, which were purified using the same procedure and which have similar functions. Both are Ctype lectin-related proteins which effectively inhibit cell adhesion and migration. This underlines that nature has instrumentalized CLRPs to specifically inhibit α2β1 integrin. Further characterization of VP-i and flavocetin-A will be able to provide leads for future drug development.
Biological membranes separate the cell interior from the outside and have diverse functions from signal transduction, apoptosis to transportations of ions and small molecules in and out of the cell. Most of these functions are fulfilled by proteins incorporated in the membrane. However, lipids as the main component of membrane not only serve as structural element for bilayer formation but they are also directly involved e.g. signalling processes and bilayer properties are important to mediate protein interactions. To fully understand the role of lipids, it is necessary to develop a molecular understanding of how certain membrane components modify bulk bilayer structure and dynamics. Membranes are known to have many different motions in different conditions and time scales. Temperature, pH, water content and many other conditions change membrane dynamics in a high degree. In addition to this, time scales of motions in membranes vary from ns to ms range corresponding to fast motion and slow motion, respectively. Therefore, membranes are needed to be studied systematically by varying the conditions and using methods to investigate motions in various time scales separately. The aim of this study was therefore perform a combined solid-state NMR / molecular dynamics study on model membranes. Different substrates, such as potential drugs, polarizing agents and signaling lipids were incorporated into bilayers and their location within the membrane and their effect onto the membrane was probed. NSAIDs (non-steroidal anti-inflammatory drugs), pirinixic acid derivatives, ceramides and polarizing agents were the substrates for membranes in this study. There were several experimental methods that were applied in order to investigate effects of these substrates on membrane dynamics. Different kind of phospholipids including POPC, DMPC and DPPC were used. In addition to experimental work, with the information gathered from solid state NMR experiments molecular dynamics simulations were performed to obtain more information about the membranes at the molecular level. As a result, combination of solid-state NMR with molecular dynamics simulations provides very systematic way of investigating membrane dynamics in a large range of time scales.
Pirinixic acid derivatives were special interest of this study because of their activity on peroxisome proliferator-activated receptor (PPAR) as an agonist as well as on enzymes of microsomal prostaglandin E2 synthase-1 (PGE2s) -1 and 5-lipoxygenase (5-LO) as dual inhibitor. Two potent pirinixic acid derivatives, 2-(4-chloro-6-(quinolin-6-ylamino)pyrimidin-2-ylthio)octanoic acid (compound 2) and 2-(4-chloro-6-(quinolin-6-ylamino)pyrimidin-2-ylthio)octanoate (compound 3), have been worked and their insertion depts were investigated by combining of solid state NMR and molecular dynamics simulations. Both experimental and theoretical results pointed out that compound 3 was inserted the phospholipid bilayer more deeply than 2. NSAIDs – lipid mixtures have been also studied here. It is known that consumption of NSAIDs as in mixture with lipids results much fewer side effects than consumption of the drugs alone. Thus, it is crucial to understand interactions of NSAIDs with lipids and investigate the possible complex formation of drugs with lipids. In this study, interactions of three widely used NSAIDs, ibuprofen, diclofenac and piroxicam, with DPPC were investigated by solid-state NMR. 1H and 31P NMR results depicted that ibuprofen and diclofenac had interactions with lipids, which is an indication of drug-lipid complex formation whereas piroxicam didn’t show any interactions with lipids suggesting that no complex formation occurred in the case of piroxicam. Ceramides are known to play key roles in many cell processes and many studies showed that the functions of ceramides are related with the ceramide effects on biological membranes. Therefore, in this study, influences of ceramides on biophysics of lipid bilayers were investigated by using various solid state NMR techniques and molecular dynamics simulations. Results from molecular dynamics simulations clearly showed that ceramide and lipids have strong interactions. More evidences about ceramide-lipid interactions were provided from 1H and 14N NMR results. In addition, it was indicated by both simulation and experimental methods that ceramide increased the rigidity of DMPC by increasing chain order parameters. BTbk is a biradical, which is used as polarizing agent for dynamic nuclear polarization (DNP) experiments and found to be more efficient than other widely used polarizing agents such as TOTAPOL. Since it is a hydrophobic compound, which prefers to stay inside lipid bilayer it is important to investigate the location and orientation of bTbk along the bilayer in order to understand its enhancement profile in DNP measurements. In this study, both NMR relaxation time measurements and molecular dynamics simulations revealed that bTbk tends to stay more close to hydrophobic chain of lipids than the interfacial part of lipids at bilayer surface.
In the first part of this work, a brief introduction on lipid membranes as well as a theoretical summary on both methods of solid-state NMR and molecular dynamics simulations is given. Then, in the second part methodology is introduced for both solid-state NMR spectrometer and theoretical calculations. Afterwards, results of different membrane systems are discussed in the following parts for both solid state NMR and MD. Finally, in the last part, a summary and the conclusion of the overall results together with some future plans are explained.
Alzheimer’s disease (AD), which was first reported more than a century ago by Alhzeimer, is one of the commonest forms of dementia which affects >30 million people globally (>8 million in Europe). The origin and pathogenesis of AD is poorly understood and there is no cure available for the disease. AD is characterized by the accumulation of senile plaques composed of amyloid beta peptides (Ab 37-43) which is formed by the gamma secretase (GS) complex by cleaving amyloid precursor protein. Therefore GS can be an attractive drug target. Since GS processes several other substrates like Notch, CD44 and Cadherins, nonspecific inhibition of GS has many side effects. Due to the lack of crystal structure of GS, which is attributed to the extreme difficulties in purifying it, molecular modeling can be useful to understand its architecture. So far only low resolution cryoEM structures of the complex has been solved which only provides a rough structure of the complex at low 12-15 A resolution Furthermore the activity of GS in vitro can be achieved by means of cell-free (CF) expression.
GS comprises catalytic subunits namely presenilins and supporting elements containing Pen-2, Aph-1 and Nicastrin. The origin of AD is hidden in the regulated intramembrnae proteolysis (RIP) which is involved in various physiological processes and also in leukemia. So far growth factors, cytokines, receptors, viral proteins, cell adhesion proteins, signal peptides and GS has been shown to undergo RIP. During RIP, the target proteins undergo extracellular shredding and intramembrane proteolysis.
This thesis is based on molecular modeling, molecular dynamics (MD) simulations, cell-free (CF) expression, mass spectrometry, NMR, crystallization, activity assay etc of the components of GS complex and G-protein coupled receptors (GPCRs).
First I validated the NMR structure of PS1 CTF in detergent micelles and lipid bilayers using coarse-grained MD simulations using MARTINI forcefield implemented in Gromacs. CTF was simulated in DPC micelles, DPPC and DLPC lipid bilayer. Starting from random configuration of detergent and lipids, micelle and lipid bilyer were formed respectively in presence of CTF and it was oriented properly to the micelle and bilyer during the simulation. Around DPC molecules formed micelle around CTF in agreement of the experimental results in which 80-85 DPC molecules are required to form micelles. The structure obtained in DPC was similar to that of NMR structure but differed in bilayer simulations showed the possibility of substrate docking in the conserved PAL motif. Simulations of CTF in implicit membrane (IMM1) in CHAMM yielded similar structure to that from coarse grained MD.
I performed cell-free expression optimization, crystallization and NMR spectroscopy of Pen-2 in various detergent micelles. Additionally Pen-2 was modeled by a combination of rosetta membrane ab-initio method, HHPred distant homology modeling and incorporating NMR constraints. The models were validated by all atom and coarse grained MD simulations both in detergent micelles and POPC/DPPC lipid bilayers using MARTINI forcefield.
GS operon consisting of all four subunits was co-expressed in CF and purified. The presence of of GS subunits after pull-down with Aph-1 was determined by western blotting (Pen-2) and mass spectrometry (Presenilin-1 and Aph-1). I also studied interactions of especially PS1 CTF, APP and NTF by docking and MD.
I also made models and interfaces of Pen-2 with PS1 NTF and checked their stability by MD simulations and compared with experimental results. The goal is to model the interfaces between GS subunits using molecular modeling approaches based on available experimental data like cross-linking, mutations and NMR structure of C-terminal fragment of PS1 and transmembrane part of APP. The obtained interfaces of GS subunits may explain its catalysis mechanism which can be exploited for novel lead design. Due to lack of crystal/NMR structure of the GS subunits except the PS1 CTF, it is not possible to predict the effect of mutations in terms of APP cleavage. So I also developed a sequence based approach based on machine learning using support vector machine to predict the effect of PS1 CTF L383 mutations in terms of Aβ40/Aβ42 ratio with 88% accuracy. Mutational data derived from the Molgen database of Presenilin 1 mutations was using for training.
GPCRs (also called 7TM receptors) form a large superfamily of membrane proteins, which can be activated by small molecules, lipids, hormones, peptides, light, pain, taste and smell etc. Although 50% of the drugs in market target GPCRs , only few are targeted therapeutically. Such wide range of targets is due to involvement of GPCRs in signaling pathways related to many diseases i.e. dementia (like Alzheimer's disease), metabolic (like diabetes) including endocrinological disorders, immunological including viral infections, cardiovascular, inflammatory, senses disorders, pain and cancer.
Cannabinoid and adrenergic receptors belong to the class A (similar to rhodopsin) GPCRs. Docking of agonists and antagonists to CB1 and CB2 cannabinoid receptors revealed the importance of a centrally located rotamer toggle switch, and its possible role in the mechanism of agonist/antagonist recognition. The switch is composed of two residues, F3.36 and W6.48, located on opposite transmembrane helices TM3 and TM6 in the central part of the membranous domain of cannabinoid receptors. The CB1 and CB2 receptor models were constructed based on the adenosine A2A receptor template. The two best scored conformations of each receptor were used for the docking procedure. In all poses (ligand-receptor conformations) characterized by the lowest ligand-receptor intermolecular energy and free energy of binding the ligand type matched the state of the rotamer toggle switch: antagonists maintained an inactive state of the switch, whereas agonists changed it. In case of agonists of β2AR, the (R,R) and (S,S) stereoisomers of fenoterol, the molecular dynamics simulations provided evidence of different binding modes while preserving the same average position of ligands in the binding site. The (S,S) isomer was much more labile in the binding site and only one stable hydrogen bond was created. Such dynamical binding modes may also be valid for ligands of cannabinoid receptors because of the hydrophobic nature of their ligand-receptor interactions. However, only very long molecular dynamics simulations could verify the validity of such binding modes and how they affect the process of activation.
Human N-formyl peptide receptors (FPRs) are G protein-coupled receptors (GPCRs) involved in many physiological processes, including host defense against bacterial infection and resolving inflammation. The three human FPRs (FPR1, FPR2 and FPR3) share significant sequence homology and perform their action via coupling to Gi protein. Activation of FPRs induces a variety of responses, which are dependent on the agonist, cell type, receptor subtype, and also species involved. FPRs are expressed mainly by phagocytic leukocytes. Together, these receptors bind a large number of structurally diverse groups of agonistic ligands, including N-formyl and nonformyl peptides of different composition, that chemoattract and activate phagocytes. For example, N-formyl-Met-Leu-Phe (fMLF), an FPR1 agonist, activates human phagocyte inflammatory responses, such as intracellular calcium mobilization, production of cytokines, generation of reactive oxygen species, and chemotaxis. This ligand can efficiently activate the major bactericidal neutrophil functions and it was one of the first characterized bacterial chemotactic peptides. Whereas fMLF is by far the most frequently used chemotactic peptide in studies of neutrophil functions, atomistic descriptions for fMLF-FPR1 binding mode are still scarce mainly because of the absence of a crystal structure of this receptor. Elucidating the binding modes may contribute to designing novel and more efficient non-peptide FPR1 drug candidates. Molecular modeling of FPR1, on the other hand, can provide an efficient way to reveal details of ligand binding and activation of the receptor. However, recent modelings of FPRs were confined only to bovine rhodopsin as a template.
To locate specific ligand-receptor interactions based on a more appropriate template than rhodopsin we generated the homology models of FPR1 using the crystal structure of the chemokine receptor CXCR4, which shares over 30% sequence identity with FPR1 and is located in the same γ branch of phylogenetic tree of GPCRs (rhodopsin is located in α branch). Docking and model refinement procedures were pursued afterward. Finally, 40 ns full-atom MD simulations were conducted for the Apo form as well as for complexes of fMLF (agonist) and tBocMLF (antagonist) with FPR1 in the membrane. Based on locations of the N- and C-termini of the ligand the FPR1 extracellular pocket can be divided into two zones, namely, the anchor and activation regions. The formylated M1 residue of fMLF bound to the activation region led to a series of conformational changes of conserved residues. Internal water molecules participating in extended hydrogen bond networks were found to play a crucial role in transmitting the agonist-receptor interactions. A mechanism of initial steps of the activation concurrent with ligand binding is proposed.
I accurately predicted the structure and ligand binding pose of dopamine receptor 3 (RMSD to the crystal structure: 2.13 Å) and chemokine receptor 4 (CXCR4, RMSD to the crystal structure 3.21 Å) in GPCR-Dock 2010 competition. The homology model of the dopamine receptor 3 was 8 th best overall in the competition.
By far not all genetic information is expressed by mRNA coding regions of the DNA. 98% of the human genome is not encoding for proteins. Therefore, these non-coding regions have been considered as “junk DNA” for a long time [1, 2]. The last years, new high throughput sequencing techniques have allowed the elucidation of the heterogeneous population of non-coding RNAs (ncRNAs, Table 1). RNAs longer than 200 nucleotides (nt) belong to the family of long non-coding RNAs (lncRNAs). They can exhibit numerous functions: The biggest family of RNAs is represented by the ribosomal RNAs (rRNAs). Together with the transfer RNAs (tRNAs) they are essential for the translation of mRNA into an amino acid sequence.
Long-distance seed dispersal is a crucial process allowing the dispersal of fleshy-fruited tree species among forest fragments. In particular, large frugivorous bird species have a high potential to provide inter-patch and long-distance seed transport, both important for maintaining fundamental genetic and demographic processes of plant populations in isolated forest fragments. In the face of increasing worldwide forest fragmentation, the investigation of long-distance seed dispersal and the factors influencing seed dispersal processes has recently become a central issue in ecology. In my thesis, I studied the movement behaviour and the seed dispersal patterns of the trumpeter hornbill (Bycanistes bucinator), a large obligate frugivorous bird, in KwaZulu-Natal, South Africa. I investigated (i) the potential of trumpeter hornbills to provide long-distance seed dispersal within different landscape structures, (ii) seasonal variations in ranging behaviour of this species, and (iii) the potential of this species to enhance the functional connectivity of a fragmented landscape. I used highresolution GPS-data loggers to record temporally and spatially fine-scaled movement data of trumpeter hornbills within both continuous forests and fragmented agricultural landscapes during the breeding- and the non-breeding season. First, combining these data with data on seed-retention times, I calculated seed dispersal kernels, able to distinguish between seed dispersal kernels from the continuous forests and those from the fragmented agricultural landscapes. The seed dispersal distributions showed a generally high ability of trumpeter hornbills to generate seed transport over a distance of more than 100 m and for potential dispersal distances of up to 14.5 km. Seed dispersal distributions were considerably different between the two landscape types, with a bimodal distribution showing larger dispersal distances for fragmented agricultural landscapes and a unimodal one for continuous forests. My results showed that the landscape structure strongly influenced the movement behaviour of trumpeter hornbills, and this variation in behaviour is likely reflected in the shape of the seed dispersal distributions. Second, for each individual bird I calculated daily ranges and investigated differences in daily ranging behaviour and in the process of range expansion comparatively between the breeding- and the non-breeding season. I considered differences in habitat use and possible consequences resulting for seed dispersal function during different seasons. I found that within the breeding season multi-day ranges were built from strongly overlapping and nearly stationary daily ranges which were almost completely restricted to continuous forest. In the non-breeding season, however, birds assembled multi-day ranges by shifting their range site to a generally different area, frequently utilizing the fragmented agricultural landscape. Thereby, several small daily ranges and few large daily ranges composed larger multi-day ranges within the non-breeding season. Seasonal differences in ranging behaviour and range assembly processes resulted in important consequences for seed dispersal function, with short distances and less spatial variation during the breeding season and more inter-patch dispersal across the fragmented landscape during the non-breeding season. Last, I used a projection of simulated seed dispersal events on a high-resolution habitat map to assess the extent to which trumpeter hornbills potentially facilitate functional connectivity between plant populations of isolated forest fragments. About 7% of dispersal events resulted in potential between-patch dispersal and trumpeter hornbills connected a network of about 100 forest patches with an overall extent of about 50 km. Trumpeter hornbills increased the potential of functional connectivity of the landscape more than twofold and seed dispersal pathways revealed certain forest patches as important stepping-stones for seed dispersal among forest fragments. Overall, my study highlights the overriding role that large frugivorous bird species, like trumpeter hornbills, play in seed dispersal in fragmented landscapes. In addition, it shows the importance of fine-scaled movement data combined with high-resolution habitat data and consideration of different landscape structures and seasonality for a comprehensive understanding of seed dispersal function.
ATP synthases are multi-subunit membrane enzymes, which utilize the energy stored in a transmembrane electrochemical ion gradient to produce adenosine-5´-triphosphate (ATP), the universal energy carrier in biological systems. Research on these important enzymes goes back more than 50 years and has produced innumerable studies. The F-type ATP synthase consists of two functionally distinct, but tightly coupled subcomplexes, the water-soluble F1 and the membrane-embedded Fo complex. In its simplest form, F1 consists of five different subunits with a stoichiometry of α 3β3γδε, and harbors three catalytic centers in the α 3β3-headpiece, while Fo consists of three different subunits in a stoichiometry of ab2cn, where n varies between 8 to 15 depending on the species. From a mechanistic standpoint, the complex can also be divided into two different units, namely a stator, α3β3δ-ab2, and a rotor, γε-cn. The enzyme utilizes the energy stored in a transmembrane electrochemical gradient of protons, or in some cases Na+, to drive ATP synthesis. In particular, the downhill translocation of these ions across the Fo complex drives rotation of the γε-cn unit, which is then transduced to the active centers, catalyzing the phosphorylation of adenosine-5`-diphosphate (ADP) with inorganic phosphate (Pi), and the release of ATP....
The spider genus Eusparassus Simon, 1903 (Araneae: Sparassidae: Eusparassinae; stone huntsman spider) is revised worldwide to include 30 valid species distributed exclusively in Africa and Eurasia. The type species E. dufouri Simon, 1932 is redescribed and a neotype is designated from Portugal. An extended diagnosis for the genus is presented. Eight new species are described: Eusparassus arabicus Moradmand, 2013 (male, female) from Arabian Peninsula, E. educatus Moradmand, 2013 (male, female) from Namibia, E. reverentia Moradmand, 2013 (male, female) from Burkina Faso and Nigeria, E. jaegeri Moradmand, 2013 (male, female) from South Africa and Botswana, E. jocquei Moradmand, 2013 (male, female) from Zimbabwe, E. borakalalo Moradmand, 2013 (female) from South Africa, E. schoemanae Moradmand, 2013 (male, female) from South Africa and Namibia and E. mesopotamicus Moradmand and Jäger, 2012 (male and female) from Iraq, Iran and Turkey. 22 species are re-described six of them are transferred from the genus Olios Walckenaer, 1837. Six species-groups are proposed: the dufouri-group [8 species: E. dufouri, E. levantinus Urones, 2006, E. barbarus (Lucas, 1846), E. atlanticus Simon, 1909, E. syrticus Simon, 1909, E. oraniensis (Lucas, 1846), E. letourneuxi (Simon, 1874), E. fritschi (Koch, 1873); Iberian Peninsula to parts of north-western Africa], walckenaeri-group [3 species: E. walckenaeri (Audouin, 1826), E. laevatus (Simon, 1897), E. arabicus; eastern Mediterranean to Arabia and parts of north-eastern Africa], doriae-group [7 species: E. doriae (Simon, 1874), E. kronebergi Denis, 1958, E. maynardi (Pocock, 1901), E. potanini (Simon, 1895), E. fuscimanus Denis, 1958, E. oculatus (Kroneberg, 1846) and E. mesopotamicus; Middle East to Central and South Asia], vestigator-group (3 species: E. vestigator (Simon, 1897), E. reverentia, E. pearsoni (Pocock, 1901); central to eastern Africa and an isolated area in NW India], jaegeri-group [4 species: E. jaegeri, E. jocquei, E. borakalalo, E. schoemanae; southern and south-eastern Africa], tuckeri-group [2 species: E. tuckeri (Lawrence, 1927), E. educatus; south-western Africa). Two species, E. pontii Caporiacco, 1935 and E. xerxes (Pocock, 1901) cannot be placed in any of the above groups. Two species are transferred from Eusparassus to Olios: O. flavovittatus (Caporiacco, 1935) and O. quesitio Moradmand, 2013. 14 species are recognized as misplaced in Eusparassus, thus nearly half of the described species prior to this revision were placed mistakenly in this genus. Neotypes are designated for E. walckenaeri from Egypt, E. barbarus, E. oraniensis and E. letourneuxi (all three from Algeria) to establish their identity. The male and female of Cercetius perezi Simon, 1902, which was known only from the immature holotype, are described for the first time. It is recognized that the monotypic and little used generic name Cercetius Simon, 1902 — a species, which had been known only from the immature holotype — as a synonym of the widely used name Eusparassus. The case proposal 3596 (conservation of name Eusparassus) is under consideration by ICZN.
The first comprehensive molecular phylogeny of the family Sparassidae with focus on the genus Eusparassus is investigated using four molecular markers (mitochondrial COI and 16S; nuclear H3 and 28S). The monophyly of Eusparassus and the dufouri, walckenaeri and doriae species-groups are recovered with the latter two groups more closely related. The monophyly of the tuckeri-group is not supported and the position of E. jaegeri as the only available member of the jaegeri-group is not resolved within the Eusparassus clade. DNA samples of the vestigator-group were not accessible for this study. The origination of the genus Eusparassus around 70 million years ago (MA) is estimated according to molecular clock analyses. Using this recent result in combination with some biogeographic and geological data, the Namib Desert is proposed as the place of ancestral origin for Eusparassus and putative Eusparassinae genera.
Further analyses are done on the phylogenetic relationships of Sparassidae and its subfamilies. The Eusparassinae are not confirmed as monophyletic, with the two original genera Eusparassus and Pseudomicrommata in separate clades and only the latter clusters with most other assumed Eusparassinae, here termed the "African clade". Monophyly of the subfamilies Sparianthinae, Heteropodinae sensu stricto, Palystinae and Deleninae is recovered. The Sparianthinae are supported as the most basal clade, diverging considerably early (143 MA) from all other Sparassidae. The Sparassinae and genus Olios are found to be polyphyletic. The Sparassidae are confirmed as monophyletic and as most basal group within the RTA-clade. The divergence time of Sparassidae from the RTA-clade is estimated with 186 MA in the Jurassic. No affiliation of Sparassidae to other members of the "Laterigradae" (Philodromidae, Selenopidae and Thomisidae) is observed, thus the crab-like posture of this group was proposed a result of convergent evolution. Only the families Philodromidae and Selenopidae are found members of a supported clade. Including a considerable amount of RTA-clade representatives, the higher-level clade Dionycha is not but monophyly of the RTA-clade itself is supported.
Glioblastoma is the most common and most aggressive type of brain tumor in adults. In contrast to epithelial cancers, glioblastomas do not metastasize. While the major treatment challenge in epithelial cancers is not the primary tumor but metastasis, glioblastoma patients die of the primary tumor.
However, there is a common theme which underlies the malignant properties of progressed epithelial cancers and glioblastoma: invasion from the primary tumor into the surrounding tissue. In the case of epithelial cancers this is the first and necessary step to metastasis, whereas invasion leads inevitably to tumor recurrence after resection in the case of glioblastoma, causing it to be incurable.
A cellular program which has been described in detail to promote the invasive phenotype in epithelial tumors, is the epithelial-mesenchymal-transition (EMT). Differentiated neural cells are not epithelial, thus, strictly speaking, EMT does not occur in glioblastoma. However, the traits acquired in the process of EMT, especially invasiveness and stemness, are highly relevant to glioblastoma. One of the key transcription factors known to induce EMT in epithelial cancers is ZEB1, which has been described only marginally in the central nervous system so far. Here, I investigate the expression and function of ZEB1 in glioblastoma and during human fetal neural development.
ZEB1 mRNA was significantly upregulated in all histological types of glioma, including glioblastoma, when compared to normal brain. There was no correlation between ZEB1 mRNA levels and tumor grade. Immunohistochemical staining of glioma samples demonstrated that ZEB1 was highly expressed in the great majority of tumor cells. In the developing human brain, intense staining for ZEB1 could be observed in the ventricular and subventricular zone, where stem- and progenitor cells reside. ZEB1 positive cells included cells stained with stem- and progenitor markers like PAX6, GFAP and Nestin. In contrast, ZEB1 was never found in early neuronal cells as identified by TUBB3 staining.
To gain insight into ZEB1 function I generated a human fetal neural stem cell line and a glioblastoma cell line with ZEB1 knockdown, which were compared with their respective control cell lines. First, I found that ZEB1 does not regulate the micro RNA 200 family in either cell line, which has been described as an essential ZEB1 target in epithelial cancers. Second, regulated target genes were identified with a genome wide microarray. The third approach was to directly identify genomic binding sites of ZEB1 by chromatin immunoprecipitation sequencing (ChIP-seq). All three approaches showed that the ZEB1 transcriptional program is surprisingly similar in the neural stem cell line and the glioblastoma cell line. In contrast, it bears only little resemblance to the program described in epithelial cancers.
The most interesting, previously unrecognized ZEB1 target gene identified in this study is integrin b1. It was regulated after ZEB1 knockdown detected by microarray analysis, and has a ZEB1 binding site in its promoter region detected by ChIP-seq. Finally, I addressed the question whether ZEB1 influences tumor growth and invasiveness in a glioblastoma model. After intracranial xenotransplantation in mice, ZEB1 knockdown glioblastoma cells formed significantly smaller and less invasive tumors than control glioblastoma cells.
This study demonstrates that ZEB1 is widely expressed in glioma and relevant for glioblastoma growth and invasion. In contrast to what is known about ZEB1 function in epithelial cancers, ZEB1 is not associated with glioma progression, but instead seems to be an early and necessary event in tumorigenesis. Also with regard to ZEB1 target genes, ZEB1 functions differently in glioblastoma than in epithelial cancers. The two most important ZEB1 targets in epithelial cancers are E-cadherin and the miR-200 family members. Both are not relevant to ZEB1 function in glioblastoma. Interestingly, while the ZEB1 transcriptional program is different from the one described in epithelial cancers, it is highly similar in glioblastoma cells and fetal neural stem cells. This suggests that an embryonic pathway restricted to stem- and progenitor cells during development is reactivated in glioblastoma.
Previously known ZEB1 target genes were tissue specific and therefore seemed unlikely to mediate ZEB1 function in the central nervous system. However, the newly identified ZEB1 target gene integrin b1 is well known to play pivotal roles in both glioblastoma tumorigenesis and invasion as well as in neural stem cells. Additionally, integrin b1 is widely expressed and seems a likely ZEB1 target in other organs than the brain.
Taken together, I demonstrate that ZEB1 is a new regulator of glioblastoma growth and invasion. The transcriptional program of ZEB1 differs from the one in epithelial cancers but is strikingly similar to the one in neural stem cells. The newly identified ZEB1 target gene integrin b1 is likely to mediate crucial ZEB1 functios. Thus, this study identifies ZEB1 as a yet unrecognized player in glioblastoma and neural development. Furthermore, it sets the stage for more research which will help to deepen our understanding of ZEB1 function in the central nervous system and beyond.
Fungal organisms, including the most common human pathogens Candida spp., are commensal organisms that are widely present as part of the human flora. Fungal infections are, most frequently, local infections that do not compromise the life of patients. However, mycotic diseases can be life-threatening if they become systemic infections. Systemic fungal infections have risen over the last three decades in parallel to the increased immune-compromised population as a consequence of diseases (e.g. HIV/AIDS) or therapeutic interventions that affect the immune system (e.g. chemotherapy for cancer treatment and immunosuppressors used for patients with organ transplants). This has resulted in the demand of new antifungal drugs that can eradicate the new infections caused by these opportunistic fungal pathogens. However, most of the current compounds have poor pharmaceutical properties such as narrow spectrum of activity, susceptibility to be extruded by efflux pumps or lack of specificity, which make them not suitable for human clinical applications. The treatment of fungal and parasitic infections has been traditionally difficult because the infective organisms are eukaryotic cells that share most of the pathways and enzymes with human cells. To avoid side effects and to develop a targeted therapy, the research has traditionally been centered on the very few enzymes and pathways existing in the infectious organism but absent in humans. Until now, antifungal therapeutic options are limited and are almost dominated by azole class of sterol biosynthesis inhibitors affecting the synthesis of ergosterol, a major constituent of the fungal cell membrane. Because human cells do not have a cell wall, the development of effective and safe antifungal agents has also been directed to enzymes required for the synthesis of the cell wall. Alternatively, it is theoretically possible to target enzymes that are present in fungal organisms and in humans, when: 1) sufficient selectivity can be achieved, and 2) inhibition of the fungal enzyme is lethal to the fungus but does not produce major side effects to humans. In this line, it would be ideal to evaluate the development of selective inhibitors of enzymes which are already known to be drug targets, like protein kinases.