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This thesis primarily covers a systematic assessment of quantum chemical methods to predict accurate 19F NMR shifts for fluoroarenes and magnetic exchange coupling constant (J) in organic spin dimers which are basic building blocks for rational designing of organic magnetic materials.
One of the most important goals in chemistry is to design and synthesize molecules with optimum properties. This thesis is divided into two parts: the first part comprises of a systematic effort to find an inexpensive quantum chemical method to predict accurate 19F NMR chemical shifts (within an accuracy of 2 ppm) for perfluoraromatics. Essentially, these strenuous efforts have been devoted to find best DFT functional and basis set combination to predict accurate 19F shifts. In addition,the influence of geometrical parameters, solvents, chemical environment was also analyzed. Various correction approaches were tested to correct the calculated shifts. The influence of various functionals and basis sets was also analyzed on the correction efficiency of an individual scheme. All the NMR calculation methods already being used and correction approaches were verified to predict shifts of three different fluorine-substituted molecular sets. These structure sets include fluorobenzenes, substituted benzenes and fluorine substituted aromatic fused rings (e.g. fluorine substituted anthracene).
In the second part of this thesis, we investigated the accurate prediction of magnetic exchange couplings (J) for organic spin dimers using quantum chemical methods. We analyzed the performance of various DFT methods and various post-HF methods, such as the CASSCF, CASPT2, MSTDISD, DDCI1, DDCI2, DDCI3, and FCI to predict magnetic exchange couplings (J).
Overview of the Chapters:
Chapter 1, presents a brief theoretical introduction to the Schrödinger equation and its application in quantum mechanical calculations, the Hartree-Fock approximation, basis sets, electron correlation energy, and density functional theory (using pure and hybrid functionals).
In chapters 2 and 3, an introduction is given for quantum chemical approaches used to calculate NMR parameters and magnetic exchange coupling constants. We discuss an effective spin Hamiltonian, the Breit-Pauli Hamiltonian (BPH), chemical shielding tensor and total energy relationship, measuring of the NMR spectra, and different techniques to deal with gauge origin problem. In addition, the theoretical background of magnetic exchange coupling constant calculation for spin dimers, the Heisenberg-Dirac-van-Vleck Hamiltonian (HDVV) and the Noodelman's broken-symmetry approach for calculating J values are briefly discussed.
Chapter 4, presents a benchmark study of various DFT functionals and basis sets to calculate accurate C-F bond lengths and 19F chemical shifts. High-resolution NMR spectral data of complex molecules are often difficult to interpret. Great scientific efforts have been devoted to search for a computational approach to interpret experimental NMR data. Quantum chemical methods such as the CCSD(T) method offer high accuracy in calculation of NMR parameters but being computationally too demanding they cannot be applied to large chemical systems. On the other hand, density functional theory (DFT) is achieving a steady progress among diversity of computational techniques. An accuracy within 2 ppm deviation from the experimental values in 19F chemical shifts can be achieved if the NMR calculation is performed using accurate equilibrium geometries, GIAO is used to tackle gauge origin problem and electron correlation is properly treated by employing a high level of theory (e.g. CCSD (T)/cc-pVQZ). We found that the calculation of 19F shielding tensors with the density-functional theory does not provide any noticeable improvement over the HF method. Post-HF theory demands too much computational resources that makes them impossible to use for large systems [35] .
We found that a quantitative prediction of NMR shifts can be made as the errors introduced by theoretical methods are cancelled out while calculating shifts. Various benchmark studies in this thesis show that 19F chemical shifts calculated for perfluoraromatics with the M06-L, BHandH, BHandHLYP in combination with the 6-311+G (2d,p) basis set are within 4 ppm deviation from the experiments. Furthermore, we noted that NMR calculations on accurate
C-F (e.g. PBE/6-311G (d, p)) bond lengths does not show any improvement if the NMR calculation and optimization are performed at the same level of theory. A significant improvement can be achieved on calculated 19F NMR shifts, if some correction schemes are used.
In chapter 4 we discuss various correction schemes applied to correct the calculated 19F chemical shifts. A multi-standard approach (MSTD) was used to minimize the error that may occur due to the difference in the nature of the reference compound and test molecules [122]. We propose another approach to correct shielding constants which is the reference corrected approach. This approach makes a correction similar to the MSTD. We also tested a Linear Regression Correction Approach and we noted that this is the best approach amongst all. This is found to be less dependent on the theoretical method. We use conformation averaging corrections to correct the calculated shifts[126].
...
Cardiovascular disease is the leading cause of death worldwide. Aging is among the greatest risk factors for cardiovascular disease. Cardiovascular disease comprises several diseases, for example myocardial infarction, elevated blood pressure and stroke. Many processes are known to promote or worsen cardiovascular disease and in the present study, cellular senescence and inflammatory activation were of special interest, as they have a strong association to aging and can be seen as hallmarks of cellular aging.
Long noncoding RNAs (lncRNAs) are noncoding RNAs with a length of more than 200 nucleotides. In recent years, numerous regulatory functions were shown for these transcripts and lncRNAs were shown to directly interact with DNA, RNA and proteins. The long noncoding RNA H19 was among the first described noncoding RNAs and was initially shown to act as a tumor suppressor. More recently, several studies showed oncogenic roles for H19. In regards to the cardiovascular system, H19 was not analyzed before.
We show that H19 is the most profoundly downregulated lncRNA in endothelial cells of aged mice compared to young littermates. Microarray analysis of human primary endothelial cells upon pharmacological H19 depletion revealed an involvement of H19 in cell cycle regulation. Loss of H19 in human endothelial cells in vitro led to reduced proliferation and to increased senescence. H19 depletion was shown to counteract proliferation before, but none of the described mechanisms applied to endothelial cells. We show that the reduction in proliferative capacity and the pro-senescent function of H19 is most probably mediated by an upregulation of p16ink4A and p21 upon H19 depletion.
When we compared the angiogenic capacity of aortic endothelial cells from young and aged mice in an aortic ring assay, rings from aged mice showed a reduced cumulative sprout length. Interestingly, pharmacological inhibition of H19 in aortic rings of young animals, where H19 is highly expressed, was sufficient to reduce the cumulative sprout length to levels we observed from aged animals. Furthermore, overexpression of human H19 in aortic rings of aged mice, where H19 is poorly expressed, rescued the impaired angiogenic capacity of aged endothelial cells.
We generated inducible endothelial-specific H19 knockout mice (H19iEC-KO) and subjected these animals to hind limb ischemia surgery followed by perfusion analysis in the hind limbs by laser-doppler velocimetry and histological analysis. Perfusion in the operated hind limb was increased in H19iEC-KO compared to Ctrl littermates, which was in contrast to a reduction in capillary density in the operated hind limbs of H19iEC-KO animals compared to Ctrl littermates and to our previous results. Analysis of arteriogenesis revealed an increase in collateral growth upon EC-specific H19 depletion in the ischemic hind limbs, which explains the increase in perfusion despite the reduction in capillary density. Further characterization of the animals revealed an increase in leukocyte infiltration into the tissue in the ischemic hind limbs upon endothelial-specific H19 depletion, indicating a potential role of H19 in inflammatory tissue activation.
Reanalysis of the microarray data from human primary endothelial cells upon H19 depletion revealed an association of H19 with inflammatory signaling and more specifically with IL-6/JAK2/STAT3 signaling. Analysis of cell surface adhesion molecule expression revealed an upregulation of ICAM-1 and VCAM-1 on mRNA level and an increase of the abundance of the two proteins on the cell surface of human primary endothelial cells. Consequently, adhesion of isolated human monocytes to human primary endothelial cells was increased upon H19 depletion in vitro. Interestingly, TNF-α mediated inflammatory activation of primary human endothelial cells repressed H19 expression. H19 did not function via previously described mechanisms. We excluded a competitive endogenous RNA (ceRNA) function for H19 in endothelial cells and showed that miR-675, which is processed from H19, does not play a role in the endothelium. Furthermore, H19 did not regulate previously described genes or pathways.
Analysis of transcription factor activity upon H19 depletion and overexpression revealed a differential activity of STAT3. STAT3 phosphorylation at TYR705 and thus activation was increased upon H19 depletion. Inhibition of STAT3 activation using a small compound inhibitor abolished the effects of H19 depletion on mRNA expression of p21, ICAM-1 and VCAM-1 and on proliferation, indicating that the effects of H19 are at least partially mediated via STAT3. STAT3 was shown to have positive effects on the cardiovascular system before, most likely due to upregulation of VEGF in a STAT3-dependent manner. We were not able to confirm previously described mechanisms for STAT3 in the present study and propose a new mechanism of action for the H19-dependent regulation of STAT3. Taken together, these results identify the long noncoding RNA H19 as a pivotal regulator of endothelial cell function. Figure 38 summarizes the described functions of H19 in endothelial cells.
Measuring information processing in neural data: The application of transfer entropy in neuroscience
(2017)
It is a common notion in neuroscience research that the brain and neural systems in general "perform computations" to generate their complex, everyday behavior (Schnitzer, 2002). Understanding these computations is thus an important step in understanding neural systems as a whole (Carandini, 2012;Clark, 2013; Schnitzer, 2002; de-Wit, 2016). It has been proposed that one way to analyze these computations is by quantifying basic information processing operations necessary for computation, namely the transfer, storage, and modification of information (Langton, 1990; Mitchell, 2011; Mitchell, 1993;Wibral, 2015). A framework for the analysis of these operations has been emerging (Lizier2010thesis), using measures from information theory (Shannon, 1948) to analyze computation in arbitrary information processing systems (e.g., Lizier, 2012b). Of these measures transfer entropy (TE) (Schreiber2000), a measure of information transfer, is the most widely used in neuroscience today (e.g., Vicente, 2011; Wibral, 2011; Gourevitch, 2007; Vakorin, 2010; Besserve, 2010; Lizier, 2011; Richter, 2016; Huang, 2015; Rivolta, 2015; Roux, 2013). Yet, despite this popularity, open theoretical and practical problems in the application of TE remain (e.g., Vicente, 2011; Wibral, 2014a). The present work addresses some of the most prominent of these methodological problems in three studies.
The first study presents an efficient implementation for the estimation of TE from non-stationary data. The statistical properties of non-stationary data are not invariant over time such that TE can not be easily estimated from these observations. Instead, necessary observations can be collected over an ensemble of data, i.e., observations of physical or temporal replications of the same process (Gomez-Herrero, 2010). The latter approach is computationally more demanding than the estimation from observations over time. The present study demonstrates how to handles this increased computational demand by presenting a highly-parallel implementation of the estimator using graphics processing units.
The second study addresses the problem of estimating bivariate TE from multivariate data. Neuroscience research often investigates interactions between more than two (sub-)systems. It is common to analyze these interactions by iteratively estimating TE between pairs of variables, because a fully multivariate approach to TE-estimation is computationally intractable (Lizier, 2012a; Das, 2008; Welch, 1982). Yet, the estimation of bivariate TE from multivariate data may yield spurious, false-positive results (Lizier, 2012a;Kaminski, 2001; Blinowska, 2004). The present study proposes that such spurious links can be identified by characteristic coupling-motifs and the timings of their information transfer delays in networks of bivariate TE-estimates. The study presents a graph-algorithm that detects these coupling motifs and marks potentially spurious links. The algorithm thus partially corrects for spurious results due to multivariate effects and yields a more conservative approximation of the true network of multivariate information transfer.
The third study investigates the TE between pre-frontal and primary visual cortical areas of two ferrets under different levels of anesthesia. Additionally, the study investigates local information processing in source and target of the TE by estimating information storage (Lizier, 2012) and signal entropy. Results of this study indicate an alternative explanation for the commonly observed reduction in TE under anesthesia (Imas, 2005; Ku, 2011; Lee, 2013; Jordan, 2013; Untergehrer, 2014), which is often explained by changes in the underlying coupling between areas. Instead, the present study proposes that reduced TE may be due to a reduction in information generation measured by signal entropy in the source of TE. The study thus demonstrates how interpreting changes in TE as evidence for changes in causal coupling may lead to erroneous conclusions. The study further discusses current bast-practice in the estimation of TE, namely the use of state-of-the-art estimators over approximative methods and the use of optimization procedures for estimation parameters over the use of ad-hoc choices. It is demonstrated how not following this best-practice may lead to over- or under-estimation of TE or failure to detect TE altogether.
In summary, the present work proposes an implementation for the efficient estimation of TE from non-stationary data, it presents a correction for spurious effects in bivariate TE-estimation from multivariate data, and it presents current best-practice in the estimation and interpretation of TE. Taken together, the work presents solutions to some of the most pressing problems of the estimation of TE in neuroscience, improving the robust estimation of TE as a measure of information transfer in neural systems.
Despite mounting evidence of the anthropogenic influence on the Earth's climate, underlying mechanisms of climate change often remain elusive. The investigation of periods of rapid climate change from geological archives may provide crucial information about magnitude, duration, teleconnections of and regional responses to global and hemispheric scale climate perturbations. Thus, paleoclimate reconstructions may help in mitigating and adapting to the challenges of the coming decades. The '8.2 kyr B.P. climatic event' has previously been proposed as a possible analogue for the future climatic scenario of a reduced Atlantic Meridional Overturning Circulation (AMOC). The catastrophic drainage of the Laurentide meltwater lakes through the Hudson Bay and into the Labrador Sea, that occurred ca. 8.47 kyr B.P., caused the slowdown of the AMOC around 8.2 kyr B.P.. Subsequently, reduced heat transfer towards Europe triggered a substantial decline in (winter) temperature and pronounced changes in atmospheric circulation patterns in many regions of the northern hemisphere, especially the North Atlantic realm and Europe. Among the regions affected by the 8.2 kyr B.P. climatic event, the Eastern Mediterranean region is of particular interest for both past and future climate developments. Traditionally characterized as a region highly sensitive to variations in the climate systems of the high and low latitudes, abrupt climate changes have the potential to strongly alter atmospheric circulation patterns and thus precipitation distribution in the region that may have severe socioeconomical consequences. The analysis of stable hydrogen (δD) and oxygen isotopes (δ18O) in precipitation is an excellent tool to trace changes in atmospheric circulation. Here, we present a comparative study of δD and δ18O in precipitation from the Eastern Mediterranean region both in a present day scenario and during the 8.2 kyr B.P. climatic event. We analyze the influences of topography, air mass trajectory, climate and seasonality among others the stable isotopic compositions of meteoric waters from the Central Anatolian Plateau (CAP), Turkey, in order to create a first-order template which may serve as a reference against which paleoenvironmental proxy data may be more accurately interpreted and tested. Further, we employ a multiproxy approach on the early Holocene peat deposits of the classical site of Tenaghi Philippon (TP), NE Greece, to investigate paleoenvironmental responses to northern hemisphere cooling during the 8.2 kyr B.P. climatic event and aim to determine changes atmospheric circulation from δD of leaf wax n-alkanes (δDwax).
Based on δD and δ18O data from more than 480 surface water samples from the CAP, we characterize moisture sources affecting the net isotopic budget of precipitation, manifesting in a systematic north-south difference in near-sea level moisture compositions. Rainout, induced by the major orographic barriers of the plateau, the Pontic Mountains to the north and the Taurus Mountains to the south, strongly shape the modern patterns of δD and δ18O. Stable isotope data from the semi-arid plateau interior provide clear evidence for an evaporitic regime that drastically affects surface water compositions. Strong evaporative enrichment contrasts rainfall patterns along the plateau margins, in part obfuscating the effects of topography and air mass trajectory.
Consequently, in order to address possible influences of evaporation on δD and δ18O in paleoprecipitation from TP, we analyze n-alkane abundances and distributions along with stable carbon isotope compositions of total organic carbon (δ13CTOC) and palynological data to estimate surface moisture conditions during the early Holocene (ca. 8.7 - 7.5 kyr B.P.) and especially during the 8.2 kyr B.P. climatic event. A period of relatively dry surface conditions from ca. 8.7 to 8.2 kyr B.P., indicated by low values of the 'aquatic index' (Paq ) and by elevated Average Chain Length (ACL) values, in concert with elevated δ13CTOC values, precedes the 8.2 kyr B.P. climatic event. The event itself is characterized by slightly wetter, more humid conditions, as suggested by an increase in Paq values as well as reduced ACL and δ13CTOC values between ca. 8.2 and 7.9 kyr B.P.. In the upper section of the core, a distinct change in paleohydrology becomes. A steep increase in Paq and a decrease in ACL values as well as variations in δ13CTOC from 7.9 kyr B.P. onwards imply considerably elevated surface moisture levels, likely caused by the increased activity of the karstic system of the surrounding mountains. Collectively, the biomarker proxies presented here, reveal a concise picture of changing moisture conditions at TP that is consistent with palynological data and provide detailed paleoenvironmental information for the analysis of δDwax as a paleoprecipitation proxy. The long-term decline in δDwax values characterizes the lower section of the core until ca. 8.2 kyr B.P.. The 8.2 kyr B.P. climatic event itself is connected to two distinct positive hydrogen isotope excursions: a minor shift in δDwax around 8.2 kyr B.P. and a major shift in δDwax between ca. 8.1 and 8.0 kyr B.P.. The upper part of the section shows a progressive trend towards higher δDwax values. With no indication of increased evaporitic conditions at TP during the 8.2 kyr B.P. climatic event, as evident in biomarker proxies and pollen data, we link shifts in δDwax to changes in Mediterranean air mass trajectories supplying precipitation to northeastern Greece, with variations in the relative contributions of northerly derived, D-depleted moisture and southerly-derived, D-enriched moisture. Possible control mechanisms include changes in the influence of the Siberian High and differences in the influence of the African and Asian monsoon circulations on anticyclonic conditions in the Mediterranean region as well as regional inflow of moist air from the Aegean Sea.
The composition of cellular membranes is extremely complex and the mechanisms underlying their homeostasis are poorly understood. Organelles within a eukaryotic cell require a non-random distribution of membrane lipids and a tight regulation of the membrane lipid composition is a prerequisite for the maintenance of specific organellar functions. Physical membrane properties such as bilayer thickness, lipid packing density and surface charge are governed by the lipid composition and change gradually from the early to the late secretory pathway. As the endoplasmic reticulum (ER) is situated at the beginning of the cells secretory pathway, it has to accept and accommodate a great variety and quantity of secretory and transmembrane proteins, which enter the ER on their way to their final cellular destination. Secretory proteins can be translocated into the lumen of the ER co- or posttanslationally and membrane proteins are being inserted and released into the ER membrane. In the oxidative milieu of the ER-lumen, supported by a variety of chaperones, proteins can fold into their native form.
If the folding capacity of the ER-lumen is exceeded, an accumulation of mis- or unfolded proteins in the lumen of the ER occurs, consequently triggering the unfolded protein response (UPR). This highly conserved program activates a wide-spread transcriptional response to restore protein folding homeostasis. In fact, 7 – 8% of all genes in the yeast Saccharomyces cerevisiae (S. cerevisiae) are regulated by the UPR. The mechanism underlying the activation of the UPR by protein folding stress has been investigated thoroughly in the last decades and many of its mechanistic details have been elucidated. Recently, it became evident that aberrant lipid compositions of the ER membrane, collectively referred to as lipid bilayer stress, are equally potent in activating the UPR. The underlying molecular mechanism of this membrane-activated UPR, however, remained unclear.
This study focuses on the UPR in S. cerevisiae and characterizes the inositol requiring enzyme 1 (Ire1) as the sole UPR sensor in S. cerevisiae. Active Ire1 forms oligomers and, collaboratively with the tRNA ligase Rlg1, splices immature mRNA of the transcription factor HAC1, which results in the synthesis of mature HAC1 mRNA and the production of the active Hac1 protein, which binds to UPR-elements in the nucleus and activates the expression of UPR target genes. Here, the combination of in vivo and in vitro experiments is being used, which is supplemented by molecular dynamics (MD) simulations performed by Roberto Covino and Gerhard Hummer (MPI for Biophysics, Frankfurt), aiming to identify the molecular mechanism of Ire1 activation by lipid bilayer stress. This study focuses on the analysis of the juxta- and transmembrane region of Ire1. Bioinformatic analyses revealed a putative ER-lumenal amphipathic helix (AH) N-terminally of and partially overlapping with the transmembrane helix (TMH). This predicted AH contains a large hydrophobic face, which inserts into the ER membrane, forcing the TMH into a tilted orientation within the membrane. The resulting unusual architecture of Ire1’s AH and TMH constitutes a unique structural element required for the activation of Ire1 by lipid bilayer stress.
To investigate the function of the AH in the physiological context, different variants of Ire1 were produced under the control of their endogenous promoter and from their endogenous locus. The functional role of the AH was tested, by disrupting its amphipathic character by the introduction of charged residues into the hydrophobic face of the AH. The role of a conserved negative residue between the TMH and the AH (E540 in S. cerevisiae) was tested by substituting it by a unipolar, polar, or positively charged residue. These variants were intensively characterized using a series of assays:
This thesis provides evidence that the AH is crucial for the function of Ire1: Mutant variants with a disrupted (F531R, V535R) or otherwise modified AH (E540A) exhibited a lower degree of oligomerization and failed to catalyze the splicing of the HAC1 mRNA as the Wildtype control. Likewise, the induction of PDI1, a target gene of the UPR, was greatly reduced in mutants with a disrupted or defective AH. These data revealed an important functional role of the AH for normal Ire1 function.
An in vitro system was established to analyze the membrane-mediated oligomerization of Ire1. This system enabled the isolated functional analysis of the AH and TMH during Ire1 activation by lipid bilayer stress. A fusion construct, coding for the maltose binding protein (MBP) from Escherichia coli (E. coli), N-terminally to the AH and TMH of Ire1 was produced. The heterologous production in E. coli, the purification and reconstitution of this minimal sensor of Ire1 in liposomes was established as part of this study. To analyze the oligomeric status of the minimal sensor in different lipid environments, continuous wave electron paramagnetic resonance (cwEPR) spectroscopic experiments were performed. These experiments revealed that the molecular packing density of the lipids had a significant influence of the oligomerization of the spin-labeled membrane sensor: increasing packing densities resulted in sensor oligomerization. The AH-disruptive F531R mutant, in which the amphipathic character of the AH was destroyed, showed no membrane-sensitive changes in its oligomerization status.
Thus, the activation of Ire1 by lipid bilayer stress is achieved by a membrane-based mechanism. According to the current model, the AH induces a local membrane compression by inserting its large hydrophobic face into the membrane. As membrane thickness and acyl chain order are interconnected, this compression simultaneously results in an increased local disordering of lipid acyl chains. Supporting MD simulations performed by Roberto Covino and Gerhard Hummer revealed that the bilayer compression is significantly more pronounced in a densely packed lipid environment, than in a lipid environment of lower lipid packing density. Hence, the energetic cost of the local compression increases with the packing density of the membrane, but is compensated for by the oligomerization of Ire1. This minimization of energetic cost induced by the membrane deformation of Ire1 forms the basis for the activation of Ire1 by lipid bilayer stress.
The cardiovascular system (CVS) consists of heart and blood vessels, forming a close circulatory loop. All tissues depend on the nutrients and molecular oxygen (O2) delivered by the blood. Therefore, it is not surprising that the CVS is one of the first working systems and the heart is the first functional organ in the forming embryo (Baldwin 1996). The building blocks of blood vessels are endothelial cells (ECs), which form the endothelium, a specialized epithelium that defines the luminal surface of the vessels (Pugsley and Tabrizchi 2000). The process of blood vessel development comprises several steps. The first events occurring are the formation of new vessels de novo to constitute the primary vascular loop known as vasculogenesis. During vasculogenesis the vascular precursors, known as angioblasts, migrate and coalesce to form the axial vessels. Subsequently, the main vessels undergo a specification step where they acquire either arterial or venous identity. As the embryo increases in size, the main vascular loop needs to increase in complexity. In order to reach all the different parts of the developing organs, new blood vessels are formed from pre-existing ones, a phenomenon known as angiogenesis (Gore et al. 2012).
Mature blood cells have a short lifespan. Therefore, hematopoietic stem cells (HSCs) are required throughout lifetime to constantly form new blood cells in a process called hematopoiesis. Interestingly, endothelial and immune cells development have been shown to converge at different points during their development, one of which is developmental hematopoiesis. During embryogenesis, definitive hematopoiesis occurs in a tissue called hemogenic endothelium (HE), a specialized subset of ECs at the ventral wall of the dorsal aorta (DA). HE acquires hematopoietic potentials and gives rise to HSCs, through a process known as endothelial-to-hematopoietic transition (EHT). During EHT, these specialized ECs extrude from DA and colonize the so-called aorta-gonadmesonephros (AGM) region, forming the native HSCs (Paik and Zon 2010).
As vascular development requires different steps, the molecular pathways involved are many. The Notch signaling pathway has been demonstrated to be one of the main players in vascular development. Among other functions, Notch signaling has been shown to be important during EHT. In the murine model, Runx1, a master regulator of HSC formation, has been shown to be transcriptionally regulated by NOTCH1 through GATA2 activation. This observation was later corroborated by knockdown studies for notch1a and notch1b in zebrafish (Butko, Pouget, and Traver 2016). Another essential pathway for vascular development is the HIF pathway. Hif-1α, Hif-1β and Hif-2α mouse mutants show severe vascular defects that result in early embryonic lethality (Simon and Keith 2008), which hinders a deep analysis of the phenotypes incurring in the mutant embryos. In addition, deletion of Hif-1α specifically in myeloid cells showed abnormalities in the motility, invasiveness, and adhesion of macrophages (Cramer et al. 2003). Intriguingly, Hif-1α deletion in vascular endothelial cadherin-expressing cells led to a significant but partial reduction of HSC number, suggesting that other players may be involved in this pathway (Imanirad et al. 2014).
Zebrafish embryos have been shown to be tolerant to hypoxia at very early stages of development (Padilla and Roth 2001). Also, zebrafish embryos develop externally and this allows to finely manipulate the environment where they grow (Lieschke and Currie 2007). These features make zebrafish an ideal model to investigate how hypoxia and Hif transcription factors affect vertebrate vascular development. In this study, I will examine the impact of hypoxia on zebrafish vascular development. Specifically, I will dissect the role of hif-1α in macrophage-EC interactions during vascular development and repair. Moreover, I show redundant functions for hif-1α and hif-2α in HSC development upstream of Notch signaling.
The ALICE High-Level-Trigger (HLT) is a large scale computing farm designed and constructed for the purpose of the realtime reconstruction of particle interactions (events) inside the ALICE detector. The reconstruction of such events is based on the raw data produced in collisions inside the ALICE at the Large Hadron Collider. The online reconstruction in the HLT allows the triggering on certain event topologies and a significant data reduction by applying compression algorithms. Moreover, it enables a real-time verification of the quality of the data.
To receive the raw data from the various sub-detectors of ALICE, the HLT is equipped with 226 custom built FPGA-based PCI-X cards, the H-RORCs. The H-RORC interfaces the detector readout electronics to the nodes of the HLT farm. In addition to the transfer of raw data, 108 H-RORCs host 216 Fast-Cluster-Finder (FCF) processors for the Time-Projection-Chamber (TPC). The TPC is the main tracking detector of ALICE and contributes with up to 16 GB/s to over 90% of the overall data volume. The FCF processor implements the first of two steps in the data reconstruction of the TPC. It calculates the space points and their properties from charge clouds (clusters) created by charged particles traversing the TPCs gas volume. Those space points are not only the base for the tracking algorithm, but also allow for a Huffman-based data compression, which reduces the data volume by a factor of 4 to 6.
The FCF processor is designed to cope with any incoming data rate up to the maximum bandwidth of the incoming optical link (160 MB/s) without creating back-pressure to the detectors readout electronics. A performance comparison with the software implementation of the algorithm shows a speedup factor of about 20 compared with one AMD Opteron 6172 Core @ 2.1 GHz, the CPU type used in the HLT during the LHC Run1 campaign. Comparison with an Intel E5-2690 Core @ 3.0 GHz, the CPU type used by the HLT for the LHC Run2 campaign, results in a speedup factor of 8.5. In total numbers, the 216 FCF processors provide the computing performance of 4255 AMD Opteron cores or 2203 Intel cores of the previously mentioned type. The performance of the reconstruction with respect to the physics analysis is equivalent or better than the official ALICE Offline clusterizer. Therefore, ALICE data taking was switched in 2011 to FCF cluster recording and compression only, discarding the raw data from the TPC. Due to the capability to compress the clusters, the recorded data volume could be increased by a factor of 4 to 6.
For the LHC Run3 campaign, starting in 2020, the FCF builds the foundation of the ALICE data taking and processing strategy. The raw data volume (before processing) of the upgraded TPC will exceed 3 TB/s. As a consequence, online processing of the raw data and compression of the results before it enters the online computing farms is an essential and crucial part of the computing model.
Within the scope of this thesis, the H-RORC card and the FCF processor were developed and built from scratch. It covers the conceptual design, the optimisation and implementation, as well as the verification. It is completed by performance benchmarks and experiences from real data taking.
Deciphering the ecological functions of fungal root endophytes based on their natural occurrence
(2017)
Plants are colonized by a large diversity of fungi, some residing on the surface and others penetrating the plant tissues, the latter referred to as fungal endophytes (endon Gr., within; phyton, plant; de Bary 1879). Despite the saprotrophic potential of fungal endophytes, they are not found to cause visible disease symptoms to the host. Plants are colonized simultaneously by various fungal species, which form rich and diverse endophytic assemblages. Although it is hypothesized that fungal endophytes contribute to the fitness of their hosts and to the functioning of ecosystems, the ecological function of fungal endophytic assemblages remains cryptic. The aims of this doctoral thesis are to gain insight to the ecological functions of root fungal endophytes, by deciphering their roles in ecosystems based on their natural occurrence and the structure of their assemblages. The thesis focuses on studying the diversity and structure of the endophytic mycobiome within roots of two annual and widespread plant hosts Microthlapsi perfoliatum and M. erraticum (Brassicaceae) in several locations across northern Mediterranean and central Europe. The thesis is composed by six Chapters, with a primary focus on Chapter 1, 2 and 3.
Chapter 1 (Glynou et al., 2016) aimed at characterizing the diversity of fungal endophytes in roots at a continental scale and at assessing the factors affecting the structure of endophytic assemblages with the use of cultivation-based methods. For that, root samples were collected from 52 plant populations, along with a collection of soil, bioclimatic, geographic and host data. Cultivation of surface-sterilized root samples on culture media and isolation of fungal colonies in pure culture generated 1,998 fungal colonies. Grouping of sequences into Operational Taxonomic Units (OTUs), based on the 97% similarity of the isolates’ rDNA Internal Transcribed Spacer (ITS) sequence, generated in total 296 OTUs, representing taxa mostly within the phylum Ascomycota with a minor representation of Basidiomycota. Endophytic assemblages were mostly correlated with variation in bioclimatic conditions. Interestingly, despite the large diversity revealed, the assemblages were dominated by only six OTUs related to the orders Hypocreales, Pleosporales and Helotiales, which had a widespread distribution across populations but with some following patterns of ecological preferences.
Chapter 2 aimed at characterizing the uncultivable fraction of the root fungal endophytic diversity, which was not possible to capture in Chapter 1. High-throughput sequencing via the
Illumina Miseq platform was implemented in 43 of the 52 original populations and mostly in the same root samples. In comparison with the cultivation-based approach, the HTS managed to cover the overall diversity within samples. It revealed a large non-cultivated endophytic diversity but the same cultivable fungi dominated assemblages. Moreover, the endophytic diversity was grouped mostly within fungal orders with demonstrated ability to grow in culture and taxonomically related groups were found to have divergent ecological preferences.
The genetic identity of the most abundant OTUs was further investigated in Chapter 3 (Glynou et al., 2017), aiming to unravel genotypic variability, which was possibly overlooked due to the use of lTS, as a universal genetic marker, and could explain their high abundance and widespread distribution. Multi-locus gene sequencing and AFLP profiling for the five most abundant OTUs suggested a low within-OTU genetic variability and show that these fungi have ubiquitous distribution and are not limited by environmental conditions within the ecological ranges of the study. A selection of endophytes frequently isolated in Chapter 1 was functionally characterized in Chapter 4 (Kia et al., 2017) based on the isolates’ traits and interactions with plants. In Chapter 5 (Cheikh-Ali et al., 2015) fungal cultures of Exophiala sp. with differential colony structure where investigated for their production of secondary metabolites. Moreover, Chapter 6 (Maciá-Vicente et al., 2016) comprises the description of the new species Exophiala radicis based on morphological and molecular characteristics.
Compilation of all results shows that the fungal endophytic diversity in roots of Microthlaspi spp. is high but few widespread OTUs dominate the assemblages, and have unlimited dispersal ability. These fungi seem also to have a wide niche breadth and are not affected by environmental filtering. The findings indicate that the local environment but also processes of competitive exclusion determine the structure of endophytic assemblages. In addition, the fungal endophytes associated with Microthlapsi spp. likely have saprotrophic activity however the interactions with plants are likely context-dependent. Further research is needed to assess the biotic interactions among endophytes and their effect on the structure of fungal endophytic assemblages. Ultimately, the findings of this thesis are useful to shed light on the processes underlying the structure of endophytic assemblages. They also upraise the need to describe diversity by combining genetic, metabolic and physiological data, in order to disentangle the elusive ecological roles of the endophytic mycobiome.
Bacteria are highly organized organisms which are able to adapt to and propagate under a multitude of environmental conditions. Propagation hereby requires reliable chromosome replication and segregation which has to occur cooperatively with other cellular processes such as transcription, translation or signaling. Several mechanisms were proposed for segregation of the Escherichia coli (E. coli) chromosome, for example a mitotic-like active segregation model or entropy-based passive chromosome segregation. Another segregation model suggests coupled transcription, translation and insertion of membrane proteins (termed "transertion"), which links the replicating chromosome (nucleoid) to the growing cell cylinder.
Fluorescence microscopy was widely used to provide evidence for a distinct segregation model. However, the dynamic nature of bacterial chromosomes, the small bacterial size and the optical resolution limit of ~ 200-300 nm impair unveiling the underlying mechanisms. With the emergence of super-resolution fluorescence microscopy techniques and advanced labeling methods, a new toolbox became available enabling scientists to visualize biomolecules and cellular processes in unprecedented detail. Single-molecule localization microscopy (SMLM) represents a set of super-resolution microscopy techniques which relies on the temporal separation of the fluorescence signal and detection of single fluorophores. Separation can be achieved using photoactivatable or -convertible fluorescent proteins (FPs) in photoactivated localization microscopy (PALM), photoswitchable organic dyes in direct stochastic optical reconstruction microscopy (dSTORM) or dynamically binding fluorescent probes in point accumulation for imaging in nanoscale topography (PAINT). In all these techniques, the fluorescence emission pattern of single fluorophores is spatially localized with nanometer-precision. An artificial image is finally reconstructed from the coordinates of all single fluorophores detected. This provides a spatial resolution of ~ 20 nm, which is perfectly suited to investigate cellular processes in bacteria. In this thesis, different SMLM techniques were applied to study fundamental processes in E. coli. This includes determination of protein copy numbers and distributions as well as the nanoscale organization of nucleic acids and lipids.
A novel labeling approach was applied and used for super-resolution imaging of the E. coli nucleoid. It is based on the incorporation of the modified thymidine analogue 5-ethynyl-2’- deoxyuridine (EdU) into the replicating chromosome. Azide-functionalized organic fluorophores can be covalently attached to the ethynyl group of incorporated EdU bases using a copper-catalyzed "click chemistry" reaction. Under the investigated growth condition, E. coli cells exhibited overlapping replication cycles, which is commonly referred to as multi-fork replication and enables cells to divide faster than they can replicate the entire chromosome. dSTORM imaging of such labeled nucleoids revealed chromosome features with diameters of 50 - 200 nm, representing highly condensed DNA filaments. Sorting single E. coli cells by length allowed visualizing structural changes of the nucleoid throughout the cell cycle. Replicating nucleoids segregated and expanded along the bacterial long axis, while constantly covering the entire width of the cell. Measuring cell and nucleoid length revealed a relative nucleoid expansion rate of 78 ± 6 %. At the same time, nucleoids populated 63 ± 8 % of the cell length, almost exclusively being localized to the cylindrical part of the cell. This value was hence normalized to the cylindrical fraction of the cell, yielding a value of 79 ± 10 % (nucleoid-populated fraction of the cell cylinder), which is in good agreement with the observed relative nucleoid expansion rate. These results therefore support a growth-mediated segregation model, in which the chromosome is anchored to the inner membrane and passively segregated into the prospective daughter cells upon cell growth. 3-dimensional dSTORM imaging of labeled nucleoids confirmed that compacted nucleoids helically wrap along the inner membrane. Similar results were obtained by imaging orthogonally aligned E. coli cells using a holographic optical tweezer approach.
In order to visualize particular proteins together with the nucleoid, several correlative imaging workflows were established, facilitating multi-color SMLM imaging in single E. coli cells. These workflows bypass prior limitations of SMLM, including destruction of FPs by reactive oxygen species in copper-catalyzed click reactions or incompatibility of PALM imaging with dSTORM imaging buffers. A sequential SMLM imaging routine was developed which is based on postlabeling and retrieval of previously imaged cells. Optimal imaging conditions can be maintained for each fluorophore, enabling to extract quantitative information from PALM measurements while correlating the protein distribution to the nucleoid ultrastructure within the highly resolved cell envelope. Applying this workflow to an E. coli strain carrying a chromosomal rpoC - photoactivatable mCherry (PAmCh) fusion, transcribing RNA polymerase (RNAP) was found to be localized on the surface of nucleoids, where active genes are exposed towards the cytosol. During growth in nutrient-rich medium, the majority of RNAP molecules was bound to the chromosome, thus ensuring that the RNAP pool is equally distributed to the daughter cells upon cell division. This work represented the first triple-color SMLM study performed in E. coli cells. ...
The East African Rift System (EARS) was initiated in the Eocene epoch between 50 and 21 Ma probably due to the influence of mantle plumes that caused volcanism, flood basalts and rifting extensions in Ethiopa and the Afar region. As a result of magmatic intrusions and adiabatic decompression melting within the lithosphere caused by the impact of the Kenya plume, there was a southward propagation of the EARS of about 30 – 15 Ma from Ethiopia to Kenya, which coincide with the occurrence of volcanism. The EARS developed towards the south along the margins of the Tanzania Craton between 15 and 8 Ma. Previous findings of low-velocity anomalies within the upper mantle and the mantle transition zone indicate an upwelling of hot mantle material in the vicinity of the Afar region and the East African Rift. This study includes the analysis of P- and S-receiver functions in order to determine further impacts on the lithosphere from below. The aim was to determine the topographic undulations of further boundary layers and to identify their variability owing to the rifting processes and the formation of the EARS. The study area included the Tanzania Craton and the surrounding rift branches of the East African Rift System.
The region of the Rwenzori Mountains can be analysed in detail because of the large dataset of the RiftLink project. The use of the P-receiver function technique and the H-K stacking method enabled to determine different vP /vS ratios depending on the tectonic setting in the Rwenzori region: Rift shoulders (vP /vS =1.74), Albert Rift segment (vP /vS =1.80), Edward Rift segment (vP /vS =1.87) and Rwenzori Mountains (vP /vS =1.86). To determine the topography of the Moho, it is necessary to take into account the thickness of the sedimentary layer, the surface topography, the azimuthal variations in crustal thickness and the impact of local anomalies. After correcting these effects on the Moho depths, significant variations in Moho topography could be determined. The Moho depths range from 29 to 39 km beneath the rift shoulders of the Albertine Rift. Within the rift valley, the crustal thickness varies between 25 – 31 km in the Edward Rift segment and 22 – 30 km in the Albert Rift segment. An averaged crustal thickness of about 26 km within the rift valley indicates the lack of the crustal root beneath the Rwenzoris. Similar variations in crustal thickness were determined by using an automatic procedure for analysing S-receiver functions that was developed in this study.
The S-receiver functions are created by applying a rotation criterion in order to rotate the Z, N and E components into the L, Q and T components. It is necessary to perform trial rotations using different incident and azimuth angles to determine the correct rotation angles. The latter are identified by the use of the rotation criterion, including the amplitude ratio of the converted Moho signal to the direct S/SKS-wave signal. The L component is rotated correctly in the direction of the incident shear wave in the case of the maximum amplitude ratio. After analysing the frequency content of the receiver functions in order to sort out harmonic and long-periodic traces, the individual Moho signals are checked for consistency in order to remove atypic signals. To increase the signal-to-noise ratios on the traces, the S-receiver functions are stacked. For this purpose, the signals of the direct shear waves must originate from similar epicenters. On the basis of similar ray paths, the receiver functions show comparable waveforms and converted signals. To perform the stacking procedure, it is necessary to merge the datasets of the adjacent stations in order to obtain a sufficient number of receiver functions. This analysis is based on the assumption that the incident seismic waves arriving at the adjacent stations penetrate to some extent the same underground structures in the case of similar wave propagation paths. This approach accounts for the fact that the converted signals do not result exclusively from the piercing points at the boundary layers. Further signals originate from the conversions at the boundary layer within the Fresnel Zone. The piercing points are derived from the significant signals in the receiver functions. Depending on the order of arrival of the converted phases on the traces, the signals are attributed to the theoretical discontinuities DIS1, DIS2, DIS3 and DIS4. However, partly due to the low signal-to-noise ratios on the traces, it is difficult to identify the real conversions on the traces and to ensure that the converted signals are attributed to the correct boundary layers. For this reason, it is necessary to check the consistency of the conversion depths among each other. In the case of inconsistent conversion depths, the corresponding signals are either adjusted to another seismic boundary layer or removed from the dataset. To verify the functionality of the automatic procedure and to determine the resolvability with respect to two boundary layers, several models are tested including horizontal and dipping discontinuities. To resolve distinct discontinuities, their depths must differ by at least 60 km, otherwise, due to similar depth ranges of the different boundary layers, the converted signals cannot be separated from each other. As a consequence, the converted signals that originate from different discontinuities are attributed to a single one. Further tests including break-off edges of seismic discontinuities are performed to check the attributions of the converted signals to the discontinuities. Owing to the varying number of boundary layers, the converted signals cannot be attributed to the discontinuities according to the order of their arrivals on the traces. It is necessary to correct their attributions to the seismic discontinuities in order to resolve the boundary layers.
The crust-mantle boundary and further discontinuities within the lithospheric mantle are investigated by applying this automatic procedure. Depending on the tectonic setting, the conversion depths of the Moho range from about 30 – 45 km beneath the western rift shoulder to 20 – 35 km within the rift valley up to 30 – 40 km beneath the eastern rift shoulder. The long wavelengths of the shear waves hamper the correct identification of the converted phases in the S-receiver functions. With respect to the relative differences in conversion depth, the topographic undulations of the crust-mantle boundary are consistent with the Moho depths derived from P-receiver functions. In contrast to the Rwenzori region, it is difficult to resolve completely the trend of the Moho in the remaining area of the East African Rift due to the small dataset provided by IRIS. The results exibit an increase in crustal thickness to up to 45 km in the region of the Cenozoic volcanics such as Virunga, Kivu, Rungwe and Kenya. The greatest Moho depths of more than 50 km are located near Mount Kilimanjaro. In addition to the Moho, the analysis of the S-receiver functions revealed two further boundary layers at depths of 60 – 140 km and 110 – 260 km, which are associated with a mid-lithospheric discontinuity and the lithosphere-asthenosphere boundary, respectively. The shallowest conversion depths of the LAB are focussed to small-scale regions within the rift branches, namely the northern Albertine Rift, the Chyulu Hills and the Mozambique Belt, which are located around the Tanzania Craton. The larger thickness of the lithosphere beneath the cratonic terrain indicates that the Tanzania Craton is not significantly eroded. However, there are indications that the lithosphere beneath the craton and the rift branches is penetrated by ascending asthenospheric melts to depths of up to 140 and 60 km, respectively. The top of the ascending melts is associated with the occurrence of the mid-lithospheric discontinuity. The shallowest conversion depths of this boundary layer (60 – 90 km) are related to the rifted areas of the EARS and the Cenozoic volcanic provinces, which are located along the Albertine Rift, the Kenya Rift and the Rukwa-Malawi rift zones. The deepest conversion depths of up to 140 km are related to the Rwenzori Belt, the Ugandan Basement Complex and the interior of the Tanzania Craton.