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The main goal of this work is to contribute to the existing knowledge of soil micro-fungi in Panama and Germany. Studies about soil degradation and its influents in the soil fungi diversity have not been investigated as extensively in these countries. This is an extensive and challenging topic to examine since there is an immense phenotypic and genetic diversity in the soil fungal community and relating this community together with factors of soil degradation is an extensive task. For this reason, the present thesis studies the species identified in the study areas, in other words, the soil fungal diversity in relation to environmental factors in the Taunus Mountain range in Frankfurt, Germany, and in the Majagua valley in Chiriquí, Panama. Two complementary objectives were achieved, the first was the development of a theoretical irrigation model for degraded soils. The second was the development of a mobile application to facilitate laboratory work in the cultivation of soil micro-fungi.
The design of the methodology was based on identifying the species and relating the diversity found to soil factors. Soil samples were taken in both countries: the Taunus Mountain range was sampled eight times from January to November 2012 and the Majagua valley was sampled on three occasions between February and July 2012. In both studies, the areas included three different vegetation types (forest, grassland, and bare soil). Samples were separated for two purposes: the assessment of fungal diversity by molecular and morphological methods and soil characterization.
Soil samples used in the methodology of pyrosequencing were related to global climatic factors. Morphological identification was achieved with identification keys. Micro-fungi were cultivated in different media until obtaining pure cultures. Molecular identification was performed by getting the DNA sequences using the ITS1 and ITS4 primers and comparing the sequences with other reference sequences from GenBank. This was done considering the BLAST algorithm, which considered sequences that matched 98 % or more of maximum identity as reliable identifications.
Soil characterization was carried out to measure the soil's Physico-chemical properties; those abiotic factors were compaction, temperature, pH, moisture, and soil composition.
Species richness was calculated in each study area with the estimators Chao, Jackknife, and Bootstrap. Furthermore, the species accumulation curves were performed to observe the species discovery rate and estimate sample completeness. Estimate linear regression models correlated the influence between the soil factors (temperature, moisture, pH, soil compaction, and soil composition) and the species richness. In the same way, an analysis of ecological distance was undertaken based on the similarity in the species composition, compared across samples, and correlated with soil factors, using non-metric multidimensional scaling (NMDs).
Study of abundance showed differences between the bare soil abundances and the forest abundances in Germany and Panama; the grasslands in both countries work as transitional areas in the fungi abundance. The key stone species in Germany were Penicillium daleae, and Pochonia bulbillosa, whereas in Panama were Purpureocillium lilacinum and Trichoderma harzianum. Based on Pareto analysis, a theoretical irrigation model was developed to counteract the degradation effects on the abundance of micro-fungi in the soil.
Applications for mobile devices dealing with the cultivation of soil micro fungi were sought. Due to the small number of existing applications, a new App called Soil-Fungi-Cultures (SFC) was developed to facilitate data collection of cultivated soil micro fungi. App Inventor was the program used to design, program, test, and publish the application developed. The developed application was compared with other applications used in identifying bacteria cultures. The results showed that the new application needed more time to capture the records because it saves more information, the navigation flow was acceptable, the number of clicks was high, but it is due to the usefulness in data capture, and finally, the users rated it as a good application with an eight out of ten rating.
Pyrosequencing resulted in 204 Operational Taxonomic Units (OTUs) considering the two study areas (the Taunus Mountain range and the Majagua valley). The Pyrosequencing database was used to contribute to the most important study of fungal diversity globally based on OTUs, which surpasses any study of molecular and taxonomic diversity previously conducted. The principal result in this study was that the climatic factor is the best predictor of fungal richness and community composition on a global scale. However, the part of the research that focused on the local scale, that is to say, on the correlation patterns between the distribution of fungal species and abiotic factors, showed that the soil properties and degradation levels were not associated with fungal richness, diversity or soil composition in the study areas in Germany or Panama. The above confirms that there are exceptions to the way relationships between soil factors with fungal diversity are established at the local level.
In the case of soil samples used for morphological identification, 71 fungal species were obtained, 47 from Germany, and 32 from Panama.
Dendritic spines are small membranous protrusions covering the dendritic tree of principal telencephalic neurons, such as the GC or CA2-pc. The CA2-subregion is crucial for social memory. Dendritic spines are a main site of synaptic plasticity, which is a key element of learning and memory. The plasticity-related protein Synaptopodin (SP) is essential to form the spine apparatus (SA), a spine-specific organelle involved in synaptic plasticity. SP stabilizes dendritic spines. This thesis investigated, for the first time, the dendritic SP-distribution and its influence on spine density and spine head size under different conditions in adult mice ex vivo: 1) SP-overexpression (gain-of-function), 2) SP-deficiency (loss-of-function), and 3) wild type-level of SP-expression in male and female mice (sex-differences in dCA2). SP-overexpression in adult male CSPtg-mice led to a ~doubled ratio of SP+ spines in the OML of the DG, while the spine density, the average spine head size and the average SP-puncta size were not affected. Consistently, SP-deficiency in adult male SP-KO animals had no significant effect on average spine head size. Of importance, under SP-overexpression, many small spines and a few large spines become SP+, assumingly assembling a SA. On a functional level, this may indicate an activation of silent synapses. dCA2 showed sex specific differences in spine density and spine morphology in a layer-specific manner: In males, pc-spines of the basal dCA2-compartment showed larger spine heads than females in the diestrus stage of their cycle (females (diestrus), while spine density was not significantly different. In the apical dCA2-compartment (sr), females (diestrus) showed an increased spine density, while spine head size was still shifted towards larger head sizes in males. In addition, dCA2 showed significant layer-specific differences in spine head size, but in a sex-independent manner: In both sexes, average spine head size in the apical sr was significantly smaller than in the basal so. This findings could reflect a yet unknown compartment-specific difference in synaptic plasticity in the basal compartment, which is preferentially targeted by neuromodulatory input from extrahippocampal sources such as the PVN or SUM99,101,170,189-195. In so of dCA2, there was no sex-specific difference in SP-puncta size or in the ratio of SP+ spines, indicating that SP is distributed in a sex-independent manner in dCA2 in adult mice.
RNA modification is a dynamic and complex process that involves the addition of various chemical groups to RNA molecules, contributing to their diversity and functional complexity. Among all the RNA modifications, N6-methyladenosine (m6A) is the most common post-transcriptional modification found in mRNA molecules, particularly in eukaryotic mRNA. It involves methylation of the adenosine base at the nitrogen-6 position. This modification plays a crucial role in many aspects of RNA metabolism, including splicing, stability, translation, and the cellular response to stress. With the development of m6A sequencing technologies, our knowledge of m6A has evolved rapidly over the past two decades. However, one of the most widely used m6A profiling techniques termed “m6A individual-nucleotide resolution UV cross-linking and immunoprecipitation (miCLIP)” suffers from a high unspecific background signal due to the limited antibody binding specificity.
To accurately discriminate m6A sites from the background signal in miCLIP data, in Chapter 4, I first developed different strategies to identify the true miCLIP2 signal changes that are corrected for the underlying transcript abundance changes. I performed this analysis on data that generated with an improved experiment protocol, named miCLIP2. With the best performing strategy, the Bin-based method, I detected more than 10,000 genuine m6A sites. I then used the information embedded in the genuine m6A sites to train a machine learning model - named "m6Aboost" - to enable accurate m6A site detection from the miCLIP2 data without a control dataset from an m6A depletion cell line. To allow an easy access for future users, I packaged the m6Aboost model into an R package that is available on Bioconductor.
Although previous studies have reported that m6A is involved in three different RNA decay pathways, it remains unclear how a pathway is selected for a specific transcript or m6A site. In Chapter 5, I reveal that m6A sites in the coding sequence (CDS) induce a stronger and faster RNA decay than the m6A sites in the 3’ untranslated region (3’UTR). Through an in-depth investigation, I found that m6A sites in CDS trigger a novel mRNA decay pathway, which I termed CDS-m6A decay (CMD). Importantly, CMD is distinct from the three previously reported m6A-mediated decay pathways. In terms of its mechanism, CMD relies on translation, where m6A sites in the CDS lead to ribosome pausing and subsequent destabilization of the transcript. The transcripts targeted by CMD are identified by the m6A reader protein YTHDF2, preferentially localized to processing bodies (P-bodies), and undergo degradation facilitated by the decapping factor DCP2. CMD provides a flexible way to control the expression of CDS m6A-containing transcripts which include many developmental regulators and retrogenes.
In summary, this PhD thesis introduces a novel workflow for identifying m6A sites in miCLIP data through the implementation of the m6Aboost machine learning model. Using the m6A sites identified by m6Aboost and additional data, a newly uncovered m6A-mediated mRNA decay pathway, CMD, is elucidated, providing valuable insights into m6A-mediated decay processes.
In this dissertation, we look at environmental effects in extreme and intermediate mass ratio inspirals into massive black holes. In these systems, stellar mass compact objects orbit massive black holes and lose orbital energy due to gravitational wave emission and other dissipative forces. We explore environmental interactions with dark matter spikes, stellar distributions, accretion disks, and combine and compare them. We discuss the existence and properties of dark matter spikes in the presence of these environmental effects. The signatures of the environmental effects, such as the phase space flow, dephasing, deshifting of the periapse, and alignment with accretion disks, are examined. These signatures are quantified in isolated spike systems, in dry, and in wet inspirals. We generally find dark matter effects to be subdominant to the other environmental effects, but their impact on the waveform is still observable and identifiable. Lastly, the rates of inspirals and the impact of spikes are estimated. All of these results are obtained with the help of a code imripy that is published alongside. If dark matter spikes exist, they should be observable with space-based gravitational wave observatories.
The evolution of cell-free protein synthesis (CFPS) over recent decades has made it a widely used system for expressing membrane proteins (MPs). Unlike traditional methods, CFPS allows direct and translocon-independent expression of MPs within lipid membranes, such as liposomes or nanodiscs (NDs), without the need for detergent solubilization. This open nature of CF systems enables customization of the experimental environment, including expression conditions, choice of nanoparticles (NPs), lipid composition, and addition of stabilizing molecules.
Membrane scaffold protein (MSP)-based NDs emerged as a gold standard for cotranslational solubilization of MPs using the CF-system. This approach allowed not only biochemical characterization, but also structural studies of MPs and even GPCRs. However, to solubilize MPs inside nanoparticles via the traditional reconstitution route, apart from MSPs other scaffolds were successfully implemented, e.g. the saposin A (commercially known as Salipro) scaffold system or the synthetic styrene maleic acid lipid particles (SMALPs). In this study the potential of saposin A-based nanoparticles (SapNPs) was explored for cotranslational MP solubilization.
Three strategies for applying SapNPs in CF systems were investigated: preassembly, (i) coassembly (ii), and coexpression (iii). (i) Preassembly involved forming SapNPs before CF expression and adding them to the CF reaction. In coassembly mode SapA and lipids were mixed in the CF reaction for spontaneous assembly with the synthesized MP. In coexpression mode lipids were added to the CF reaction while coexpressing SapA with the MP target. Proteorhodopsin (PR) served as a model protein to evaluate these strategies due to its ability to oligomerize and straightforward quantification using the cofactor retinal. Preassembled SapNPs provided homogeneous, aggregate-free particles yielding up to 200 µM solubilized PR inside in the CF reaction. Coassembly was also successfully applied to produce PR/SapNP complexes at slightly lower yields, however the system was prone to produce soluble aggregates at too high PR template concentrations and overall needed more adjustments. Coexpression resulted in PR yields below 20 µM and was not considered viable for MP production. Finally, the preassembled SapNPs were used to produce functional G-protein coupled receptor probes. Despite lower overall performance compared to MSP-based systems, SapNPs showed potential as an alternative in CF systems for specific MPs.
The second optimization approach was directed at the CF lysate itself. CF synthesis for NMR analysis benefits from selective labeling schemes enabled by truncated amino acid (AA) metabolic pathways in lysates, reducing spectral ambiguity. However, residual enzymatic AA conversions persist, leading to label dilution and ambiguous NMR spectra. This study aimed to eliminate these residual activities in the E. coli A19 strain, generating optimized CF lysates for NMR applications.
The approach involved cumulative gene deletions of the most problematic scrambling enzymes. The new strain, “Stablelabel,” included deletions and modifications in genes asnA, ansA, ansB, glnA, aspC, and ilvE, effectively eliminating background activities of L-Asn, L-Asp, and conversions of L-Glu to L-Asp and L-Gln. However, residual conversion of L-Gln to L-Glu persisted due to glutaminase activity of several glutaminases using the inhibitor 6 diazo-5-oxo-L-norleucine (DON). Stablelabel showed a slightly slower growth than A19, and an overall good performance with 2.7 mg/mL GFP expressed in the reaction mixture (RM) compared to the parental A19 strain with 3.5 mg/mL. Furthermore, the strain was successfully applied to demonstrate methyl group labeling of MPs using preconverted L-val and L-leu from their respective precursors 2-ketoisovalerate and 4-methyl-2-oxovalerate.
In this study, lipid nanoparticle particle-and strain engineering vividly demonstrated the potential of CFPS systems and their versatility. While the SapNP system requires further engineering to potentially reach the efficiency of the well-studied MSP NDs, this study provides an example of nanoparticle characterization allowing new insights into NP behavior in CF systems. Furthermore, it was shown that strain engineering is a straightforward solution to tailor CF lysates to the individual requirements. After this thesis was submitted, Stablelabel in fact was successfully applied for backbone assignment of casein kinase 1, thereby demonstrating its suitability to express complex targets for NMR studies.
The hepatitis B virus is one of the most common causes of virus-related chronic liver disease and remains a major global health problem affecting 296 million people worldwide. Despite an available and highly effective vaccination, hepatitis B infections lead to an annual mortality rate of approximately 0.8 million people. The global prevalence is heterogeneously distributed and reflects a high infections and chronicity, particularly in low-income countries, due to a lack of vaccination strategies, underdiagnosis and low treatment rates. A complete cure remains undiscovered to this day. Based on their genetic makeup, the virus is categorized into nine genotypes with a genetic difference of more than 8% within the sequence. In addition to their geographical distribution, hepatitis B virus genotypes also differ in terms of their clinical outcome, pathogenesis and treatment response.
The viral protein HBx is known to interact with several cellular signaling pathways and is thereby accounted as the driving force in the development of hepatitis B virus-associated pathogenesis and progression of hepatocellular carcinoma. In particular, HBx interacts with mitochondria and induces profound alterations in the mitochondrial morphology and function with a severe impact on the liver’s physiology and with an emerging role in liver-related disease progression.
This study aims to investigate the genotype-related impact of HBx with regard to their interaction with cellular signaling pathways. A particular focus was placed on mitochondria-dependent interactions and signaling pathways in order to broaden the understanding of the genetic diversity of the genotypes.
Differences between genotypes of HBx were examined and compared through in vitro experiments based on a cell culture-based system. Plasmid DNA encoding the HBx protein of the different genotypes was transiently transfected into Huh7 or HepG2 cells and examined for molecular and protein-biochemical effects on the host cell, usually 72 hours after transfection. This study focused on the most common genotypes A, B, C, D, E and G worldwide.
Based on initial kinome profiling analyses, it was found that HBx differs greatly within their genetic variants and suggests different effects on overall cell function and in particular on mitochondrial kinases. Furthermore, confocal laser scanning microscopy reveals profound HBx-mediated changes in the mitochondrial network structure, however with major differences among the different genotypes. In particular, HBx of genotypes A and G causes enormous fragmentation of mitochondrial structures, accompanied by emergent changes in mitochondrial function. Due to an increased interaction with the voltage-dependent anion channel 3, a significant loss of mitochondrial membrane potential was also observed, together with an increased radial oxygen stress level and an induction of central mitochondria-dependent inflammatory mediators. In contrast, the contribution of HBx-genotype B and E reveals only moderate effects in these regards. Using a pH-sensitive reporter system, HBx genotypes which previously indicated a strong distribution in the mitochondrial morphology and function, also showed an elevated mitophagy through the PINK1/Parkin-mediated pathway. This study provides direct evidence that HBx-mediated changes in host cell signaling pathways, especially in mitochondrial-associated pathways, fundamentally dependent on the different genotypes. In addition, the results also indicate an important role of HBx in the process of genotype-dependent liver pathogenesis and provide insight into the underlying cellular mechanisms and signaling pathways.
The attention on the protein PURA has increased recently following the discovery of the rare PURA Syndrome. This neurodevelopmental disorder is caused by de novo mutations in the PURA gene. Notably, our collaborators could show that the protein PURA can bind DNA and RNA in vitro. As a result, I was motivated to explore PURA's cellular RNAbinding activity. Furthermore, I inquired on the connection of PURA-RNA binding to the cellular effect of a reduction of functional PURA as present in PURA Syndrome patients.
To investigate the binding of PURA and the impact of PURA de ciency on cellular RNA and protein expression, I performed an integrative computational analysis of multimodal data from complementary high-throughput experiments. An essential component was the examination of UV Crosslinking and immunoprecipitation (CLIP) experiments, which can query the global RNA-binding behaviour of a given protein in a cellular context. As the processing and analysis of CLIP data are rather complex, I introduce an automated command line tool for the processing of CLIP data named racoon_clip as part of this dissertation. Therefore, this dissertation comprises two major segments. Firstly, I describe the implementation and usage of racoon clip for CLIP data analysis. Secondly, I discuss my research on the protein PURA, demonstrating its global RNA-binding properties, the effects of PURA depletion and its association with neuronal functions and P-bodies, among others.
racoon_clip is a command line application that I have developed for processing of individualnucleotide resolution CLIP (iCLIP) and enhanced CLIP (eCLIP) experiments - two of the most commonly used types of CLIP experiments - in a comparable and user-friendly way.
For this, I built racoon_clip as an automated work how that encompasses all CLIP processing steps from raw data to single-nucleotide resolution crosslink events. racoon_clip is available as a command line tool that users can run with a single command. The work how is implemented with Snakemake work how management providing computational advantage tages including parallelisation, scalability and portability of the work how. The main task of racoon_clip is to extract single-nucleotide crosslink events from iCLIP, iCLIP2, eCLIP and similar data types. To strike a balance between being highly customisable and easy to use, racoon_clip supplies pre-set options for the most common types of experiments.
Additionally, it is possible for users to create a custom setup of barcode and adapter architectures, which allows them to use the software for other types of CLIP data. While accounting for the different architectures in the reads, the performed central processing steps remain the same. This leads to a high degree of comparability between the different experiment types, which I demonstrate in the exemplary processing of U2AF2 iCLIP and eCLIP data. Taken together, I am confident that racoon_clip will be beneficial to numerous researchers interested in RNA-Protein interactions as it offers easily accessible processing for CLIP data and enhances the comparability of multiple CLIP datasets across di erent experiment types.
In the second part of this dissertation, I focus on the cellular function of the RNAbinding protein PURA. Through in-depth computational analysis of one iCLIP data set of endogenous PURA and two iCLIP data sets of overexpressed PURA in HeLa cells, I establish that PURA is a global RNA-binding protein. It preferentially binds RNAs in either the coding sequence (CDS) or the 3' untranslated region (3'UTR) of mature protein-coding transcripts by recognising a Purine-rich degenerated sequence motif. Even though overexpression of PURA results in less specific binding behaviour, the same overall binding patterns as from endogenous PURA persist. Overall characteristics of PURA binding remain similar in three distinct PURA iCLIP data sets with and without PURA overexpression.
To learn about the molecular consequences of a depletion of functional PURA in a cellular context, I used a 50% reduction of PURA in HeLa cells as a model for the heterozygous loss of PURA in PURA Syndrome and evaluated its impact on global RNA and protein expression. The results demonstrate that PURA depletion globally a ects RNA and protein expression. Additionally, I integrate PURA RNA binding with the changes in expression of RNAs and proteins in the context of PURA depletion. This reveals 234 targets of PURA that are bound by PURA and are impacted at both RNA and protein levels by the PURA protein. RNAs that are bound by PURA or change in abundance upon PURA depletion are enriched in neuronal development factors, RNA lifecycle regulators, and mitochondrial factors, among others. Consistent with a possible role of PURA in neuronal transport, there is considerable overlap between PURA bound transcripts and transcripts, that are transported to the dendritic end of neurons.
Notably, there is a link between PURA and P-bodies, as documented by the enrichment of PURA-bound RNAs in both the P-body and stress granule transcriptome. Further, PURA was found by our collaborators to be localised within P-bodies and P-body numbers were strongly reduced in cells that are depleted of PURA. This absence might be attributed to the downregulation of the proteins encoded by the PURA targets LSM14A and DDX6 as both of them were previously identified as essential for P-body formation.
Overall, the reduction of P-body numbers in PURA depletion, the neuronal function of PURA, and its association with mitochondria and RNA lifecycle regulation may indicate the cellular foundation of both PURA Syndrome and related neuronal diseases.
In summary, I present a versatile and user-friendly computational tool for the analysis of CLIP data. Subsequently, I conduct a thorough computational analysis of CLIP and other high-throughput data in the context of the RNA-binding protein PURA, which offers valuable insights into the cellular functions of PURA. These insights advance our understanding of the impact of PURA loss in PURA Syndrome and other disease contexts.
Background: In the Computer Tomography imaging, examinations for the diagnosis of lesions of the upper abdomen currently use water-soluble, iodinated, non-ionic contrast agents with low molecular weight. One possibility to reduce the time of the examination and X-ray exposure is to increase the injection rate. However, higher injections rates lead to increased hypersensitivity reactions and extravasation rates. Furthermore, cardiac pump function does not always allow for the transportation of such a large volume within one heartbeat. With a contrast agent of higher iodine concentration, the injection rate may be reduced without decreasing the iodine delivery rate while reducing the volume load of the heart.
Aim: to compare the performance and image quality of two injection protocols of contrast medium for multiphasic CT imaging of malignant hepatic lesions; one using Imeron 300 at an injection rate of 5 ml/ sec and the second using Imeron 400 at an injection rate of 3,7 ml/ sec, for multiphasic CT imaging of malignant hepatic lesions, in order to optimise the iodine concentration and injection rate of the contrast agent Imeron in the Multislice Spiral-CT of the upper abdomen.
Materials and methods: the current prospective, single centre, double-blinded, randomised and interindividual comparison study included 50 patients (29 males and 21 females) with a mean age of 63,3 years. Patients were randomised to one of the two injection protocols. Image evaluation included qualitative assessment (technical quality, presence of artefacts and overall contrast quality) and quantitative assessment (measuring the difference in HU between the lesion and the surrounding hepatic tissue). The difference between both protocols was tested for statistical significance using the Wilcoxon-Mann-Whitney test and the Two-Sample t-test.
Results: there was no statistically significant difference between both protocols regarding the technical quality of images, both in the AP (p = 0,46) and in the venous phase (p = 0,48). Additionally, no statistically significant difference was found regarding the presence of artefacts related to the contrast medium, both in the AP (p = 0,46) and in the venous phase (p = 0,46), as well as regarding the overall contrast quality of images both in the AP (p = 0,50) and in the venous phase (p = 0,48). Quantitative assessment showed no statistically significant difference regarding the difference in HU measurement between the hepatic lesion and the surrounding hepatic tissue, both in the AP (p = 0,36) and in the venous phase (p = 0,92).
Conclusion: in the multiphasic CT imaging of the liver, reducing the injection rate of the contrast medium Imeron from 5 ml/ sec to 3,7 ml/ sec while increasing the iodine strength of the agent from 300 to 400 mg/ml, respectively, and thus keeping the iodine injection flow rate constant, produces similar signal intensities and results in similar technical, image and overall contrast qualities..
Keywords: Contrast-medium, injection rate, iodine concentration, hepatic malignancy, multiphasic CT
Molecular concepts for pandemic viruses : membrane fusion assays and targeting of reservoir cells
(2024)
In den letzten Jahren haben verschiedene pandemische Viren zu beträchtlichen Krankheits- und Todesfällen geführt. Um dieser ständigen Bedrohung entgegenzuwirken, ist es wichtig diagnostische Testsysteme und Therapien anzupassen oder neu zu etablieren. Diese Arbeit konzentriert sich auf die pandemischen Viren SARS-CoV-2 und HIV.
Der Zelleintritt von SARS-CoV-2 wird durch das Spike-Protein (S) ausgelöst, welches die Fusion der Virushülle mit der zellulären Membran bewirkt. Erste Studien haben gezeigt, dass das S-Protein eine hohe Fusionsaktivität aufweist. Aus diesem Grund sollten in dieser Arbeit neue Fusionstests etabliert werden, um potenzielle Inhibitoren der Zellfusion zu evaluieren. Im ersten Teil dieser Thesis wird die Etablierung von quantitativen Tests zur Evaluierung der Zell-Zell und Partikel-Zell Fusionsaktivität, welche durch S bewirkt wird, demonstriert.
Trotz jahrelanger Forschung können HIV-Patienten nicht geheilt werden und Virusinfektionen treten weiterhin weltweit auf. Das größte Problem bei der Entwicklung eines Heilmittels ist die frühe Bildung von Reservoirzellen während einer Infektion. Um diese Reservoirzellen zu identifizieren, wurde der Oberflächenmarker CD32a vorgeschlagen. Die Nutzung von Cas9-Nukleasen zur Inaktivierung von HIV ist in vitro erfolgreich, aber der effiziente Transfer in Reservoirzellen bleibt weiterhin herausfordernd. Im zweiten Teil dieser Thesis werden Rezeptor-gerichtete Adeno-assoziierte Vektoren (AAVs) für die HIV-Gentherapie präsentiert, die CD4 und CD32a für den Zelleintritt nutzen.
Zur Charakterisierung der Fusionsaktivität von SARS-CoV-2 wurden drei quantitative Fusionstests etabliert, welche Partikel- und Zell-Zell Fusionen berücksichtigen. Für den Partikel-Zell Fusionstest wurden lentivirale Vektoren (LV) verwendet, welche das S-Protein auf ihrer Oberfläche präsentierten. Die Transduktionseffizienz von S-LV erreichte auf Zellen, die den SARS-CoV-2 Rezeptor ACE2 exprimieren, ein Signal-zu-Hintergrund Verhältnis von über 2000. Durch die Präsentation von S auf leeren LV-Partikeln konnte die Fusion von benachbarten Zellen detektiert und quantifiziert werden („fusion-from-without“ (FFWO)). Für die Quantifizierung wurde ein Reporter-Komplementationstest etabliert. Hierbei wurden die Alpha- und Omega-Fragmente der β-Galaktosidase getrennt in zwei Zielzellpopulationen exprimiert, die beide ACE2 exprimierten. Durch die Zugabe von S-Partikeln kam es zur Fusion der Zielzellen und zur Komplementation der Alpha- und Omega-Fragmente. Die resultierende β-Galaktosidase-Aktivität konnte anschließend quantifiziert werden. Unter optimalen Versuchsbedingungen erreichte dieser Assay ein Signal-zu-Hintergrund Verhältnis von 2,7 Größenordnungen. Anschließend wurde der Komplementationstest für die Messung der Zell-Zell Fusion verwendet. In diesem Test exprimierten Effektorzellen S und das Alpha-Fragment, Zielzellen ACE2 und das Omega-Fragment. Obwohl die S-Expression auf den Effektorzellen sehr gering war, konnte dennoch eine signifikante Fusion nachgewiesen werden. Auch hier konnte unter optimalen Versuchsbedingungen ein hohes Signal-zu-Hintergrund Verhältnis von 2,9 Größenordnungen festgestellt werden. Nach der Etablierung der Testsysteme wurden S-spezifische Inhibitoren verwendet. Im Gegensatz zu Partikel-Zell-Fusionen wurde die Fusionsaktivität von S auf Zellen nur mäßig inhibiert. Dies deutet daraufhin, dass das Eindringen von Partikeln in Zellen wirksamer verhindert werden kann als die Ausbreitung durch Zell-Zell Fusionen.
Um AAVs spezifisch an HIV-Reservoirzellen zu binden, wurden CD4- und CD32a-spezifische DARPins („designed ankyrin repeat proteins“) in Rezeptor-verblindete AAVs eingebaut. Ebenso wurden beide DARPins gleichzeitig auf dem Kapsid präsentiert, um eine höhere Spezifität für doppelt-positive Zellen zu erreichen. Wenn diese Partikel einer Zellmischung aus CD4-, CD32a- und CD4/CD32a-exprimierenden Zellen zugesetzt wurden, transduzierten die bispezifischen Vektoren vorzugsweise doppelt-positive Zellen. Diese Präferenz war am höchsten in Zellkulturen, die stark unterrepräsentierte CD4/CD32a-exprimierende Zellen enthielten. Unter diesen Voraussetzungen erreichten bispezifische Vektoren eine bis zu 66-fach höhere Transduktionseffizienz auf CD4/CD32a-positive Zellen im Vergleich zu CD32a-exprimierenden Zellen. Darüber hinaus zeigten bispezifische AAV eine präferentielle Bindung und Transduktion von isolierten Primärzellen und Zellen in Vollblut. Selbst nach systemischer Injektion in humanisierte Mäuse wurden doppelt-positive Zellen effizienter von bispezifischen als von monospezifischen AAVs transduziert. Schließlich zeigten die generierten Vektoren, welche die Cas9 Nuklease transferierten, eine effiziente Inhibition der HIV-Replikation.
A Large Ion Collider Experiment (ALICE) is a high-energy physics experiment, designed to study heavy ion collisions at the European Organization for Nuclear Research (CERN)Large Hadron Collider (LHC). ALICE is built to study the fundamental properties of matter as it existed shortly after the big bang. This requires reading out millions of sensors with high frequency, enabling high statistics for physics analysis, resulting in a considerable computing demand concerning network throughput and processing power. With the ALICE Run 3 upgrade [14], requirements for a High Throughput Computing
(HTC) online processing cluster increased significantly, due to more than an order of magnitude more data than in Run 2, resulting in a processing input rate of up to 900 GB/s. Online (real-time) event reconstruction allows for the compression of the data stream to 130 GB/s, which is stored on disk for physics analysis.
This thesis presents the implementation of the ALICE Event Processing Node (EPN) compute farm, to cope with the Run 3 online computing challenges. Building a Data Centre tailored to ALICE requirements for the Run 3 and Run 4 EPN farm. Providing the operational conditions for a dynamic compute environment of a High Performance Computing (HPC) cluster, with significant load changes in a short time span, when starting or stopping a data-taking run. EPN servers provide the required computing resources for online reconstruction and data compression. The farm includes network connectivity towards First Level Processors (FLPs), requiring reliable throughput of 900 GB/s between FLPs and EPNs and connectivity from the internal InfiniBand network to the CERN Exabyte Object Storage (EOS) Ethernet network, with more than 100 GB/s.
The results of operating the EPN computing infrastructure during the first year of Run 3 LHC collisions are described in the context of the ALICE experiment. The EPN farm was delivering the expected performance for ALICE data-taking. Data Centre environmental conditions remained stable during the last more than two years, in particular during starting and stopping runs, which include significant changes in IT load. Several unforeseen external circumstances lead to increasing demands for the Online Offline System (O2). Higher data rates than anticipated required network performance to exceed the initial design specifications, for the throughput between FLPs and EPNs. In particular, the high throughput from an internal EPN InfiniBand network towards the storage Ethernet network was one of the challenges to overcome.