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Evaluierung der zellfreien Produktion sekundär aktiver Transporter für die Proteinkristallisation
(2013)
So far clinical human immunodeficiency virus (HIV) therapy is limited to non-curative treatments. However, as recently shown, alternative approaches such as HIV gene therapy have the potential to functionally cure the disease (e.g. the hematopoietic stem cell (HSC)-transplantation with a CCR5Δ32 homozygous transplant) (1). In contrast to the highly personalized medical treatment applied in the ‘Berlin case’, more broadly applicable approaches are currently under intensive investigation.
One example is the adeno-associated-virus (AAV)-mediated delivery of in vivo secreted antiviral entry inhibitors (iSAVE), the concept of which is based on the direct in vivo administration of a broadly applicable highly potent antiviral gene (here: a C46-derived entry inhibitory peptide interfering with HIV-1 membrane fusion). The AAV-based gene delivery is believed to overcome several limitations of gene therapeutic treatments based on ex vivo lentiviral trials in the past. It is (i) targeting differentiated HIV target cells (i.e. liver and differentiated lymphatic cells) reducing the risk of genotoxicity compared to stem cell-based trials, (ii) overcoming the limitation of a low number of genetically modifiable cells as in lentivirally based ex vivo transduction strategies (i.e. limited modifiable cell number due to culture conditions and lower vector titers) and (iii) using the safe AAV vector system, which has not been associated with major genotoxicity in men. (iv) Most importantly, the concept of secretable entry inhibitors does not require transduction of large amounts of cells due to the protective bystander effect. Thus, iSAVE might be a treatment principle for HIV infection that might be able to cure patients irrespective of their viral isolates or adherence.
Accordingly, the iSAVE concept could aim at two different sites in the patient for the production of antiviral transgenes, either the systemic production via suitable producer cells (e.g. hepatocytes) or the local production in the lymphatic system.
In a first approach, we are able to efficiently target hepatocytes using the natural AAV serotype 8 to express high plasma levels of secretable antiviral entry inhibitors in order to systemically suppress viral replication. In this setting we could show that iSAVE peptides are highly expressed in hepatocytes. However, plasma levels of iSAVE were insufficient when using a secretable peptide as sole antiviral transgene.
As a second treatment strategy, the iSAVE project aimed to deliver antiviral genes directly to the site of viral replication, the lymphatic system. Here, (i) a panel of naturally occurring AAV serotypes as well as (ii) AAV retargeting approaches were employed to design a highly efficient and selective AAV vector variant for gene delivery into the lymphatic system after intravenous vector administration.
In detail, (i) screening of the natural occurring serotypes revealed that the AAV serotype 1 (AAV-1) was best in targeting splenic tissue in two humanized mouse models, however at a very low level. After systemic AAV-1 vector administration neither transduction of human lymphocytes did occur nor was iSAVE expressed in the lymphatic system in a humanized mouse model.
(ii) In a second approach, we modified the well-characterized AAV-2 serotype in a tropism-defining region of its capsid gene by insertion of human peripheral blood lymphocytes (hPBL)-tropic peptide ligands. These in turn were selected by M13 in vivo phage display and by in vivo AAV peptide display. Selected variants were cloned and tested for hPBL transduction in vitro. Although the selected variants did not show increased expression efficacies compared to AAV-2 WT, it still might be possible that the selected variant are more specific for hPBLs as these conditions have not been tested.
As these selection processes required a humanized mouse model that comprises a functional lymphatic system, we established the previously described Trimera mouse model in our lab (2). We found that this mouse model could be further improved to allow engraftment of a lower number of gene-modified (gm) human T cells as in the classical Trimera model. These modified Trimera mice (mT3 mice) were conditioned by inclusion of cyclophosphamide (CTX) to the irradiation-conditioning scheme of the classical Trimera model.
Comparison of mT3 mice with established NSG and DKO mice in an adoptive gm T cell transplantation setting revealed that NSG mice were the most robust model providing high reproducibility in human T cell engraftment. MT3 mice allowed a substantial, yet more variable engraftment of gm T cells. Besides comparing engraftment kinetics, the graft quality (i.e. clonality and cytokine milieu) was analyzed. Again, NSG mice showed the most balanced homeostatic repopulation three weeks after transplantation, while mT3 mice were prone to Th1-type, oligloclonal repopulation, indicating an early onset of xenograft-versus-host disease. Finally, the lymphatic infiltration was analyzed. As expected, mT3 mice provided the most intact lymphatic structures, although the normal lymphatic morphology was not restored.
In conclusion, it was demonstrated in this work that AAV-mediated iSAVE gene therapy faces specific limitations depending on the respective targeting approach
In the systemic approach, iSAVE peptides have to be further optimized in terms of transgene design itself, as high-level accumulation in murine plasma was not feasible for the short iSAVE precursor. In the local, lymphatic targeting approach, AAV-mediated expression faces its limits in targeting specificity but foremost expression efficacy. Thus, the AAV vector itself needs further optimization for sufficient local iSAVE expression levels. Independently from the AAV-related approaches, a novel humanized mouse model was established in this work. Despite drawbacks regarding repopulation variability and set-up complexity, the novel mT3 mouse model comprised improved secondary lymphatic structures for adoptive T cell transfer, which might be an interesting platform for studies in lymphoma or leukemia therapy.
In this thesis the integral membrane protein diacylglycerol kinase (DAGK) from E.coli is investigated with solid-state NMR. The aim is to gain an insight into the enzyme’s mechanism through integration of kinetic, structural and dynamic data. The biological function of DAGK is the transfer of the γ-phosphate group from Mg*ATP to diacylglycerol (DAG) building phosphatidic acid (PA)[6] as port of the membrane-derived oligosaccharide cycle[31,34]. Surprisingly, DAGK does not share structural or sequential similarities with other kinases[12]. Typical sequence motives found in other kinases, which catalyze phosphoryl transfer reactions, are not found[13]. In its physiological form DAGK is a homo-trimer with nine transmembrane helices, three catalytic centers and a size of 39.6 kDa.
First, the set-up of a real-time 31P MAS NMR experiment is shown. This experiment allows measuring in real-time the simultaneous ATP hydrolysis in the aqueous phase and lipid substrate phos-phorylation in the membrane phase with atomic resolution under magic angle spinning[56]. After fast transfer of the sample into the NMR spectrometer the enzymatic reaction is started with a temperature jump. This approach of real-time MAS NMR in a dual-phase system was demonstrated for the lipid substrate analogs dioleoyl- (DOG) and dibutyrylglycerol (DBG), with a C8 and C4 aliphatic chain, respectively. The combination of 31P direct and cross polarization functions as a dynamic filter. In the 31P direct polarized experiment nuclei in both phases are detected, while in the 31P cross polar-ized experiment, only nuclei in the membrane phase are detected. Rates for substrate turnover, i.e. degradation of γP-, βP, αP-ATP and build-up of βP-, αP-ADP, free phosphate as side reaction, and PA are obtained, which reveal a Michaelis-Menten behavior with regard to Mg*ATP and DBG. Here Mg*ATP and DBG follow a random-equilibrium model, where every substrate can bind indepen-dently from the other substrate. Analyses of the peak integrals from educts and products of the enzymatic reaction, revealed the stoichiometry of the reaction: 1.5 ATP molecules are used to phos-phorylate one DBG molecule. The excess of ATP is attributed to the basal ATPase activity. Further-more, experiments with ATPγS, usually regarded as a non-hydrolysable ATP-analog, where carried out. Surprisingly, DAGK hydrolyzes ATPγS and also transfers the thio-phosphate group to the lipid acceptor DBG, which points to a certain degree of plasticity in the active center. A phosphorylated enzyme intermediate was not detected. These results suggest the building of a ternary complex of Mg*ATP, DBG and DAGK performing a direct-phosphoryl transfer reaction, without passing through a phosphorylated enzyme intermediate. Experiments with the transition state analog ortho-vanadate (Vi) showed a decoupling of the ATP hydrolysis activity from lipid substrate phosphorylation. This indicates a specific transfer site for the γ-phosphate group from ATP to DAG, which can be blocked by Vi.
A general disadvantage of NMR spectroscopy compared to other spectroscopic methods is its inherent low sensitivity. One possible starting point for the improvement of signal-to-noise per unit time is the reduction of the spin-lattice relaxation time of protons[209]. Usually 95 % of the experi-mental time is required for the relaxation of the 1H to equilibrium. The addition of paramagnetic species can be used to reduce the 1H T1[233]. In a comprehensive study four different paramagnetic agents were tested: Cu2+-EDTA, Cu2+-EDTA-tag, Gd3+-TTAHA and Gd3+-DOTA. The titration of these paramagnetic complexes showed the principle feasibility of this approach, but differences between the tested species exist. The most promising complex is Gd3+-DOTA which, at a concentration of 2 mM, causes a 10-time improvement of signal-to-noise ratio per unit time. This allowed measuring 2D 13C-13C correlation spectra of proteoliposomes in one tenth of the usual required experimental time (i.e. 10 hours vs. 4 days) with good signal-to-noise.
For the investigation of structural or dynamic changes in the protein upon substrate interaction with MAS NMR, the spectral properties CP efficiency and resolution of the DAGK in liposomes needed to be improved. The most critical step during sample preparation is the reconstitution of the membrane protein from detergent micelles into a membrane of synthetic lipids under detergent removal. For this procedure the important criteria are enzymatic activity, measured in a coupled ATPase assay[55], and homogeneity of the proteoliposomes, which was tested e.g. on a discontinuous sucrose step gradient. Therefore an extensive study was carried out, in which different detergents, lipids and lipid mixtures, techniques for detergent removal and different protein-to-lipid ratios were tested. A direct correlation between high ATPase activity and good resolution was not found. Moreover, active DAGK in a mixture of DMPC and cholesterol, which emulates the membrane features of a membrane containing DAG, showed the best CP efficiency and resolution.
The assignment of the protein backbone and amino acid side chains the first mandatory step towards the investigation of structural and dynamical features influencing and defining the enzymatic mechanism by MAS NMR. As the assignment procedure is very time consuming for a total protein, a special labeling scheme for DAGK was developed, which allows assigning most of the protein areas presumably involved in enzyme catalysis. The assignment of DAGK with solution NMR[132] was not transferable to the MAS NMR spectra. Most important for the assignment process were the unique pairs[335], two consecutive amino acids which only appear once in the amino acid sequence. These unique pairs served as anchor points. Five different multinuclear MAS NMR experiments (DARR, NCO, NCA, NCACX, NCOCX) were required for the sequential assignment. It was possible to assign 35 % of the total amino acid sequence with one sample and 8 experiments acquired at 850 MHz. The secondary structure analysis showed subtle differences to the DAGK assignment with solution NMR[132], which can be attributed to the different environment in lipid bilayers and detergent micelles.
Data about structural and dynamical changes under substrate interaction can reveal details about the enzymatic mechanism. Therefore changes in chemical shift in 2D heteronuclear correlation experiments in the apo-state and under substrate saturated conditions with the substrates Mg*AMP-PNP, a non-hydrolysable ATP-analog, DOG, a mixture of Mg*AMP-PNP and DOG as well as inhibited by Vi were recorded. The most significant peak changes were observed at the interface membrane-cytoplasm as well as the the N-terminal amphipathic helix. The residues revealing chemical shift perturbations correlate with conserved residues or such residues, for which importance for catalysis and/or folding could be shown in mutation studies[8]. Especially noticeable were the changes at the amino acids Asn 72, Lys 64, His 87, Tyr 86 and Asp 95.
Beside changes of the chemical shift, changes of line width or signal doubling were observable. These changes can point to a correlation with dynamic reorientations in the μs-ms time regime, which are most relevant for enzymatic processes. The protein backbone dynamics in the apo-state as well as saturated with the substrates or inhibited with Vi were investigated with a 15N-CODEX experiment, which is based on the reorientation of the CSA tensor upon dynamical changes[350]. Specific effects of the different substrates or analogs on the protein backbone dynamic were revealed complementing the structural data and the chemical shift perturbation experiments.
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.