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Silicon wafers such as Silicon on Insulator (SOI) and strained silicon on Insulator (sSOI) are the essential and basic materials of advanced microelectronic devices. However, they often show various kinds of crystal defects which impair the function of these devices. The most efficient method to date, for detecting such defects and for determining their density, is to delineate them by etching the wafers with a suitable etching solution and characterise them via light optical microscopy. Etch pits are formed at defect sites which are etched at a faster rate than at the perfect lattice. The standard etching solution used for SOI and sSOI is a dilute version of Secco. As Secco contains carcinogenic and environmentally hazardous chromium (VI), the use of which is or will be restricted by law in many countries, suitable chromium (VI)-free etching solutions like Organic Peracid Etches (OPE), modified Chemical Polishing Etches (CP) like CP4 mod and mixtures with organic oxidizing agents like chloranil (CA) have been developed for the successful delineation of various types of crystal defects.
However there are still nanometer-sized defects which are hard to detect or escape detection by this method. Copper decoration is a well known method to magnify these defects. It consists in applying a copper nitrate solution to the back of the SOI or sSOI wafer. On annealing, copper diffuses through the substrate and the BOX (buried oxide) to the SOI/sSOI film and on quenching to room temperature, copper precipitates as copper silicide, SiCu3, foremost at crystal defects where the lattice strain is greater than at perfect lattice sites. These silicides increase the volume in these parts of the crystal lattice and defect magnification occurs. A considerable disadvantage of this method is its tendency for artefact formation, when the copper concentration used is too high, with the copper precipitating at the film surface. The consequence is a higher density of etch pits whereby true defect etch pits cannot be differentiated from those caused by artefacts.
The aim of this thesis is to show that the processes of decorating and etching can be combined successfully to delineate all crystal defects in SOI and sSOI. An ideal result would have been to find a copper decoration procedure that decorates all existing crystal defects at a copper concentration that avoids artefact formation.
Modern computational molecular quantum chemical studies, such as the present one, typically employ a wide range of theoretical techniques. The latter are often rather complicated and one should not generally expect that an experimental scientist in the area of physical chemistry, a potential reader of this work, should be familiar with all these techniques. To simplify the reading of the Thesis and to make it self-sufficient, it is supplied with an overview of the employed theoretical methodologies (Chapter 1). The overview explains basic quantum-chemical terminology referred to throughout the Thesis, introduces theoretical foundations of the methods and outlines their properties and limitations. In Part 1.1 of Chapter 1, methods for the solution of the molecular Schrödinger equation are introduced, while in the subsequent Parts 1.2 and 1.3 methods for the solution of the electronic Schrödinger equation are presented to find the ground and excited states, respectively. Part 1.4 is dedicated to basis-set effects which are omnipresent in electronic-structure calculations. It contains a number of unusual insights and concepts proposed by the author and, thus, may be insightful also to experts in quantum chemistry.
In Chapter 2, the phenomenon of acetone-water proton exchange catalyzed by tubular as well as amorphous aggregates of calix[4]hydroquinone (CHQ) macromolecules, which has been observed previously in NMR experiments (Ref. D1D), is investigated by means of correlated quantum-chemical methods. The first part of the study (Section 2.3-2.7) considers concerted proton transfer, assisted by several initially neutral OH-groups in the hydrogen-bonded networks of CHQ aggregates. The second part of the study (Section 2.8-2.13) is dedicated to a second mechanism of proton exchange: step-wise proton transfer via formation of ionic intermediates resulting from CHQ pre-dissociation. CHQ application-specific as well as general conclusions, relevant to the main topic of the Thesis (i.e. influence of specific microsolvation on the considered proton transfer processes), are presented in Section 2.14.
The phenomenon of dual fluorescence observed in clusters of methyl 4-N,N-dimethylaminobenzoate ester (DMABME) and two water molecules in the gas phase, is studied in Chapter 3. Experimentally, the dual fluorescence was detected in experiments combining optical and ground-state ion-depletion infrared spectroscopies in ultracold molecular beams (Ref. D2D). In Section 3.3, calculated ground-state infrared spectra are presented that allow to identify the structures of those isomers, which are present in the gas-phase, as well as the structure of the isomer responsible for dual fluorescence. To further understand the reaction mechanism of dual fluorescence, excited-state potential energy surfaces of the identified isomers were computed along the relevant twisted intermolecular charge-transfer formation coordinate and the mechanism of energy dissipation in these complexes was investigated (Section 3.4-3.5) (Ref. D3D). A brief summary of the main results of this chapter and conclusions are given in Section 3.6. Finally, in Section 3.7 a complementary benchmark study of the quality of ground-state potential energy surfaces of prototypical hydrogen-bonded systems (ammonia-water and formic acid-water dimers) obtained at the level of BSSE-corrected MP2 combined with moderate basis sets, has been conducted. The quality of potential energy surfaces was tested with respect to basis-set size, level of electron correlation and anharmonicity effects and the applied methodology to identify the IR spectrum of hydrated DMABME complexes (Section 3.3) has been found to be sufficient to uniquely assign the IR spectra.
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.
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.