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Sonstige beteiligte Institutionen
Metabolomic profiling of different Premna odorata Blanco (Lamiaceae) organs, bark, wood, young stems, flowers, and fruits dereplicated 20, 20, 10, 20, and 20 compounds, respectively, using LC–HRESIMS. The identified metabolites (1–34) belonged to different chemical classes, including iridoids, flavones, phenyl ethanoids, and lignans. A phytochemical investigation of P. odorata bark afforded one new tetrahydrofurofuran lignan, 4β-hydroxyasarinin 35, along with fourteen known compounds. The structure of the new compound was confirmed using extensive 1D and 2D NMR, and HRESIMS analyses. A cytotoxic investigation of compounds 35–38 against the HL-60, HT-29, and MCF-7 cancer cell lines, using the MTT assay showed that compound 35 had cytotoxic effects against HL-60 and MCF-7 with IC50 values of 2.7 and 4.2 µg/mL, respectively. A pharmacophore map of compounds 35 showed two hydrogen bond acceptor (HBA) aligning the phenoxy oxygen atoms of benzodioxole moieties, two aromatic ring features vectored on the two phenyl rings, one hydrogen bond donor (HBD) feature aligning the central hydroxyl group and thirteen exclusion spheres which limit the boundaries of sterically inaccessible regions of the target’s active site.
Web spiders connect silk proteins, so-called spidroins, into fibers of extraordinary toughness. The spidroin N-terminal domain (NTD) plays a pivotal role in this process: it polymerizes spidroins through a complex mechanism of dimerization. Here we analyze sequences of spidroin NTDs and find an unusually high content of the amino acid methionine. We simultaneously mutate all methionines present in the hydrophobic core of a spidroin NTD from a nursery web spider’s dragline silk to leucine. The mutated NTD is strongly stabilized and folds at the theoretical speed limit. The structure of the mutant is preserved, yet its ability to dimerize is substantially impaired. We find that side chains of core methionines serve to mobilize the fold, which can thereby access various conformations and adapt the association interface for tight binding. Methionine in a hydrophobic core equips a protein with the capacity to dynamically change shape and thus to optimize its function.
Thema dieser Thesis ist die Analyse sekretorischer Vesikelpools auf Ultrastrukturebene in unterschiedlichen biologischen Systemen. Der erste und zweite Teil dieser Arbeit fokussiert sich auf die Analyse synaptischer Vesikelpools in neuromuskulären Endplatten (NME) im Modellorganismus Caenorhabditis elegans. Dazu wurde Hochdruckgefrierung und Gefriersubstitution angewandt, um eine unverzügliche Immobilisation der Nematoden und somit eine Fixierung im nahezu nativen Zustand zu gewährleisten. Anschließend wurden dreidimensionale Aufnahmen der NME mittels Elektronentomographie erstellt. Im ersten Teil dieser Arbeit wurden junge adulte, wildtypische C. elegans Hermaphroditen mit Septin-Mutanten verglichen. Um eine umfassende Analyse mit hoher Stichprobenzahl zu ermöglichen und eine automatisierte Lösung für ähnliche Untersuchungen von Vesikelpools bereit zu stellen wurde eine Software namens 3D ART VeSElecT zur automatisierten Vesikelpoolanalyse entwickelt. Die Software besteht aus zwei Makros für ImageJ, eines für die Registrierung der Vesikel und eines zur Charakterisierung. Diese Trennung in zwei separate Schritte ermöglicht einen manuellen Verbesserungsschritt zum Entfernen falsch positiver Vesikel. Durch einen Vergleich mit manuell ausgewerteten Daten neuromuskulärer Endplatten von larvalen Stadien des Modellorganismus Zebrafisch (Danio rerio) konnte erfolgreich die Funktionalität der Software bewiesen werden. Die Analyse der neuromuskulären Endplatten in C. elegans ergab kleinere synaptische Vesikel und dichtere Vesikelpools in den Septin-Mutanten verglichen mit Wildtypen.
Im zweiten Teil der Arbeit wurden neuromuskulärer Endplatten junger adulter C. elegans Hermaphroditen mit Dauerlarven verglichen. Das Dauerlarvenstadium ist ein spezielles Stadium, welches durch widrige Umweltbedingungen induziert wird und in dem C. elegans über mehrere Monate ohne Nahrungsaufnahme überleben kann. Da hier der Vergleich der Abundanz zweier Vesikelarten, der „clear-core“-Vesikel (CCV) und der „dense-core“-Vesikel (DCV), im Fokus stand wurde eine Erweiterung von 3D ART VeSElecT entwickelt, die einen „Machine-Learning“-Algorithmus zur automatisierten Klassifikation der Vesikel integriert. Durch die Analyse konnten kleinere Vesikel, eine erhöhte Anzahl von „dense-core“-Vesikeln, sowie eine veränderte Lokalisation der DCV in Dauerlarven festgestellt werden.
Im dritten Teil dieser Arbeit wurde untersucht ob die für synaptische Vesikelpools konzipierte Software auch zur Analyse sekretorischer Vesikel in Thrombozyten geeignet ist. Dazu wurden zweidimensionale und dreidimensionale Aufnahmen am Transmissionselektronenmikroskop erstellt und verglichen. Die Untersuchung ergab, dass hierfür eine neue Methodik entwickelt werden muss, die zwar auf den vorherigen Arbeiten prinzipiell aufbauen kann, aber den besonderen Herausforderungen der Bilderkennung sekretorischer Vesikel aus Thrombozyten gerecht werden muss.
miR-221 is regarded as an oncogene in many malignancies, and miR-221-mediated resistance towards TRAIL was one of the first oncogenic roles shown for this small noncoding RNA. In contrast, miR-221 is downregulated in prostate cancer (PCa), thereby implying a tumour suppressive function. By using proliferation and apoptosis assays, we show a novel feature of miR-221 in PCa cells: instead of inducing TRAIL resistance, miR-221 sensitized cells towards TRAIL-induced proliferation inhibition and apoptosis induction. Partially responsible for this effect was the interferon-mediated gene signature, which among other things contained an endogenous overexpression of the TRAIL encoding gene TNFSF10. This TRAIL-friendly environment was provoked by downregulation of the established miR-221 target gene SOCS3. Moreover, we introduced PIK3R1 as a target gene of miR-221 in PCa cells. Proliferation assays showed that siRNA-mediated downregulation of SOCS3 and PIK3R1 mimicked the effect of miR-221 on TRAIL sensitivity. Finally, Western blotting experiments confirmed lower amounts of phospho-Akt after siRNA-mediated downregulation of PIK3R1 in PC3 cells. Our results further support the tumour suppressing role of miR-221 in PCa, since it sensitises PCa cells towards TRAIL by regulating the expression of the oncogenes SOCS3 and PIK3R1. Given the TRAIL-inhibiting effect of miR-221 in various cancer entities, our results suggest that the influence of miR-221 on TRAIL-mediated apoptosis is highly context- and entity-dependent.
Modulation of insulin-induced genotoxicity in vitro and genomic damage in gestational diabetes
(2019)
Diabetes mellitus is a global health problem, where the risk of diabetes increases rapidly
due to the lifestyle changes. Patients with type II diabetes have many complications
with increased risk of morbidity and mortality. High levels of insulin may lead to DNA
oxidation and damage. Several studies proposed that hyperinsulinemia may be an
important risk factor for various types of cancer. To investigate insulin signaling
pathway inducing oxidative stress and genomic damage, pharmaceutical and natural
compounds which can interfere with the insulin pathway including PI3K inhibitors,
resveratrol, lovastatin, and RAD-001 were selected due to their beneficial effects
against metabolic disorder. Thus, the anti-genotoxic potential of these compounds
regarding insulin-mediated oxidative stress were investigated in normal rat kidney cells
in vitro. Our compounds showed protective effect against genotoxic damage and
significantly decreased reactive oxygen specious after treatment of cells with insulin
with different mechanisms of protection between the compounds. Thus, these
compounds may be attractive candidates for future support of diabetes mellitus therapy.
Next, we explored the link between gestational diabetes mellitus and genomic damage
in cells derived from human blood. Moreover, we investigated the influence of
estradiol, progesterone, adrenaline and triiodothyronine on insulin-induced genomic
damage in vitro. First, we studied the effect of these hormones in human promyelocytic
leukemia cells and next ex vivo with non-stimulated and stimulated peripheral blood
mononuclear cells. In parallel, we also measured the basal genomic damage using three
conditions (whole blood, non-stimulated and stimulated peripheral blood mononuclear
cells) in a small patient study including non-pregnant controls with/without hormonal
contraceptives, with a subgroup of obese women, pregnant women, and gestational
diabetes affected women. A second-time point after delivery was also applied for
analysis of the blood samples. Our results showed that GDM subjects and obese
individuals exhibited higher basal DNA damage compared to lower weight nonpregnant
or healthy pregnant women in stimulated peripheral blood mononuclear cells
in both comet and micronucleus assays. On the other hand, the DNA damage in GDM
women had decreased at two months after birth. Moreover, the applied hormones also
showed an influence in vitro in the enhancement of the genomic damage in cells of the control and pregnant groups but this damage did not exceed the damage which existed
in obese and gestational diabetes mellitus patients with high level of genomic damage.
In conclusion, insulin can induce genomic damage in cultured cells, which can be
modulated by pharmaceutical and naturals substances. This may be for future use in the
protection of diabetic patients, who suffer from hyperinsulinemia during certain disease
stages. A particular form of diabetes, GDM, was shown to lead to elevated DNA
damage in affected women, which is reduced again after delivery. Cells of affected
women do not show an enhanced, but rather a reduced sensitivity for further DNA
damage induction by hormonal treatment in vitro. A potential reason may be an
existence of a maximally inducible damage by hormonal influences.
Staphylococcus aureus asymptomatically colonizes the skin and anterior nares of 20-30% of the healthy human population. As an opportunistic human pathogen it elicits a variety of infections ranging from skin and soft tissue infections to highly severe manifestations such as pneumonia, endocarditis and osteomyelitis. Due to the emergence of multi resistant strains, treatment of staphylococcal infections becomes more and more challenging and the WHO therefore classified S. aureus as a “superbug”. The variety of diseases triggered by S. aureus is the result of a versatile expression of a large set of virulence factors. The most prominent virulence factor is the cytotoxic and haemolytic pore-forming α-toxin whose expression is mediated by a complex regulatory network involving two-component systems such as the agr quorum-sensing system, accessory transcriptional regulators and alternative sigma-factors. However, the intricate regulatory network is not yet understood in its entirety. Recently, a transposon mutation screen identified the AraC-family transcriptional regulator ‘Repressor of surface proteins’ (Rsp) to regulate haemolysis, cytotoxicity and the expression of various virulence associated factors. Deletion of rsp was accompanied by a complete loss of transcription of a 1232 nt long non-coding RNA, SSR42.
This doctoral thesis focuses on the molecular and functional characterization of SSR42. By analysing the transcriptome and proteome of mutants in either SSR42 or both SSR42 and rsp, as well as by complementation of SSR42 in trans, the ncRNA was identified as the main effector of Rsp-mediated virulence. Mutants in SSR42 exhibited strong effects on transcriptional and translational level when compared to wild-type bacteria. These changes resulted in phenotypic alterations such as strongly reduced haemolytic activity and cytotoxicity towards epithelial cells as well as reduced virulence in a murine infection model. Deletion of SSR42 further promoted the formation of small colony variants (SCV) during long term infection of endothelial cells and demonstrated the importance of this molecule for intracellular bacteria. The impact of this ncRNA on staphylococcal haemolysis was revealed to be executed by modulation of sae mRNA stability and by applying mutational studies functional domains within SSR42 were identified.
Moreover, various stressors modulated the transcription of SSR42 and antibiotic challenge resulted in SSR42-dependently increased haemolysis and cytotoxicity. Transcription of SSR42 itself was found under control of various important global regulators including AgrA, SaeS, CodY and σB, thereby illustrating a central position in S. aureus virulence gene regulation.
The present study thus demonstrates SSR42 as a global virulence regulatory RNA which is important for haemolysis, disease progression and adaption of S. aureus to intracellular conditions via formation of SCVs.
Morphological and Functional Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of the Human Lung
(2019)
In this thesis, a 3D Ultrashort echo time (3D-UTE) sequence was introduced in the Self-gated Non-Contrast-Enhanced Functional Lung Imaging (SENCEFUL) framework. The sequence was developed and implemented on a 3 Tesla MR scanner. The 3D-UTE technique consisted of a nonselective RF pulse followed by a koosh ball quasi-random sampling order of the k-space. Measurements in free-breathing and without contrast agent were performed in healthy subjects and a patient with lung cancer.
A gating technique, using a combination of different coils with high signal correlation, was evaluated in-vivo and compared with a manual approach of coil selection. The gating signal offered an estimation of the breathing motion during measurement and was used as a reference to segment the acquired data into different breathing phases.
Gradient delays and trajectory errors were corrected during post-processing using the Gradient Impulse Response Function. Iterative SENSE was then applied to determine the fully sampled data.
In order to eliminate signal changes caused by motion, a 3D image registration was employed, and the results were compared to a 2D image registration method.
Ventilation was assessed in 3D and regionally quantified by monitoring the signal changes in the lung parenchyma. Finally, image quality and quantitative ventilation values were compared to the standard 2D-SENCEFUL technique.
3D-UTE, combined with an automatic gating technique and SENCEFUL MRI, offered ventilation maps with high spatial resolution and SNR. Compared to the 2D method, UTE-SENCEFUL greatly improved the clinical quality of the structural images and the visualization of the lung parenchyma.
Through‐plane motion, partial volume effects and ventilation artifacts were also reduced with a three-dimensional method for image registration.
UTE-SENCEFUL was also able to quantify regional ventilation and presented similar results to previous studies.
The link between multi‐host use and host switching in host–parasite interactions is a continuing area of debate. Lycaenid butterflies in the genus Maculinea, for example, exploit societies of different Myrmica ant species across their ranges, but there is only rare evidence that they simultaneously utilise multiple hosts at a local site, even where alternative hosts are present.
We present a simple population‐genetic model accounting for the proportion of two alternative hosts and the fitness of parasite genotypes on each host. In agreement with standard models, we conclude that simultaneous host use is possible whenever fitness of heterozygotes on alternative hosts is not too low.
We specifically focus on host‐shifting dynamics when the frequency of hosts changes. We find that (i) host shifting may proceed so rapidly that multiple host use is unlikely to be observed, (ii) back and forth transition in host use can exhibit a hysteresis loop, (iii) the parasites' host use may not be proportional to local host frequencies and be restricted to the rarer host under some conditions, and (iv) that a substantial decline in parasite abundance may typically precede a shift in host use.
We conclude that focusing not just on possible equilibrium conditions but also considering the dynamics of host shifting in non‐equilibrium situations may provide added insights into host–parasite systems.
(1) Background: After the discovery and application of Chlamydomonas reinhardtii channelrhodopsins, the optogenetic toolbox has been greatly expanded with engineered and newly discovered natural channelrhodopsins. However, channelrhodopsins of higher Ca\(^{2+}\) conductance or more specific ion permeability are in demand. (2) Methods: In this study, we mutated the conserved aspartate of the transmembrane helix 4 (TM4) within Chronos and PsChR and compared them with published ChR2 aspartate mutants. (3) Results: We found that the ChR2 D156H mutant (XXM) showed enhanced Na\(^+\) and Ca\(^{2+}\) conductance, which was not noticed before, while the D156C mutation (XXL) influenced the Na\(^+\) and Ca\(^{2+}\) conductance only slightly. The aspartate to histidine and cysteine mutations of Chronos and PsChR also influenced their photocurrent, ion permeability, kinetics, and light sensitivity. Most interestingly, PsChR D139H showed a much-improved photocurrent, compared to wild type, and even higher Na+ selectivity to H\(^+\) than XXM. PsChR D139H also showed a strongly enhanced Ca\(^{2+}\) conductance, more than two-fold that of the CatCh. (4) Conclusions: We found that mutating the aspartate of the TM4 influences the ion selectivity of channelrhodopsins. With the large photocurrent and enhanced Na\(^+\) selectivity and Ca\(^{2+}\) conductance, XXM and PsChR D139H are promising powerful optogenetic tools, especially for Ca\(^{2+}\) manipulation.
Coordinated regulation of the lysosomal and autophagic systems ensures basal catabolism and normal cell physiology, and failure of either system causes disease. Here we describe an epigenetic rheostat orchestrated by c-MYC and histone deacetylases that inhibits lysosomal and autophagic biogenesis by concomitantly repressing the expression of the transcription factors MiT/TFE and FOXH1, and that of lysosomal and autophagy genes. Inhibition of histone deacetylases abates c-MYC binding to the promoters of lysosomal and autophagy genes, granting promoter occupancy to the MiT/TFE members, TFEB and TFE3, and/or the autophagy regulator FOXH1. In pluripotent stem cells and cancer, suppression of lysosomal and autophagic function is directly downstream of c-MYC overexpression and may represent a hallmark of malignant transformation. We propose that, by determining the fate of these catabolic systems, this hierarchical switch regulates the adaptive response of cells to pathological and physiological cues that could be exploited therapeutically.
MYC paralogs are frequently activated in small cell lung cancer (SCLC) but represent poor drug targets. Thus, a detailed mapping of MYC-paralog-specific vulnerabilities may help to develop effective therapies for SCLC patients. Using a unique cellular CRISPR activation model, we uncover that, in contrast to MYCN and MYCL, MYC represses BCL2 transcription via interaction with MIZ1 and DNMT3a. The resulting lack of BCL2 expression promotes sensitivity to cell cycle control inhibition and dependency on MCL1. Furthermore, MYC activation leads to heightened apoptotic priming, intrinsic genotoxic stress and susceptibility to DNA damage checkpoint inhibitors. Finally, combined AURK and CHK1 inhibition substantially prolongs the survival of mice bearing MYC-driven SCLC beyond that of combination chemotherapy. These analyses uncover MYC-paralog-specific regulation of the apoptotic machinery with implications for genotype-based selection of targeted therapeutics in SCLC patients.
Background
Shotgun metagenomes contain a sample of all the genomic material in an environment, allowing for the characterization of a microbial community. In order to understand these communities, bioinformatics methods are crucial. A common first step in processing metagenomes is to compute abundance estimates of different taxonomic or functional groups from the raw sequencing data.
Given the breadth of the field, computational solutions need to be flexible and extensible, enabling the combination of different tools into a larger pipeline.
Results
We present NGLess and NG-meta-profiler. NGLess is a domain specific language for describing next-generation sequence processing pipelines. It was developed with the goal of enabling user-friendly computational reproducibility. It provides built-in support for many common operations on sequencing data and is extensible with external tools with configuration files.
Using this framework, we developed NG-meta-profiler, a fast profiler for metagenomes which performs sequence preprocessing, mapping to bundled databases, filtering of the mapping results, and profiling (taxonomic and functional). It is significantly faster than either MOCAT2 or htseq-count and (as it builds on NGLess) its results are perfectly reproducible.
Conclusions
NG-meta-profiler is a high-performance solution for metagenomics processing built on NGLess. It can be used as-is to execute standard analyses or serve as the starting point for customization in a perfectly reproducible fashion.
NGLess and NG-meta-profiler are open source software (under the liberal MIT license) and can be downloaded from https://ngless.embl.de or installed through bioconda.
Plant–pathogen interactions have been widely studied, but mostly from the site of the plant secondary defense. Less is known about the effects of pathogen infection on plant primary metabolism. The possibility to transform a fluorescing protein into prokaryotes is a promising phenotyping tool to follow a bacterial infection in plants in a noninvasive manner. In the present study, virulent and avirulent Pseudomonas syringae strains were transformed with green fluorescent protein (GFP) to follow the spread of bacteria in vivo by imaging Pulse-Amplitude-Modulation (PAM) fluorescence and conventional binocular microscopy. The combination of various wavelengths and filters allowed simultaneous detection of GFP-transformed bacteria, PAM chlorophyll fluorescence, and phenolic fluorescence from pathogen-infected plant leaves. The results show that fluorescence imaging allows spatiotemporal monitoring of pathogen spread as well as phenolic and chlorophyll fluorescence in situ, thus providing a novel means to study complex plant–pathogen interactions and relate the responses of primary and secondary metabolism to pathogen spread and multiplication. The study establishes a deeper understanding of imaging data and their implementation into disease screening.
The transcription factor 12 (tcf12) is a basic Helix-Loop-Helix protein (bHLH) of the E-protein family, proven to play an important role in developmental processes like neurogenesis, mesoderm formation, and cranial vault development. In humans, mutations in TCF12 lead to craniosynostosis, a congenital birth disorder characterized by the premature fusion of one or several of the cranial sutures. Current research has been primarily focused on functional studies of TCF12, hence the cellular expression profile of this gene during embryonic development and early stages of ossification remains poorly understood. Here we present the establishment and detailed analysis of two transgenic tcf12:EGFP fluorescent zebrafish (Danio rerio) reporter lines. Using these transgenic lines, we analyzed the general spatiotemporal expression pattern of tcf12 during different developmental stages and put emphasis on skeletal development and cranial suture patterning. We identified robust tcf12 promoter-driven EGFP expression in the central nervous system (CNS), the heart, the pronephros, and the somites of zebrafish embryos. Additionally, expression was observed inside the muscles and bones of the viscerocranium in juvenile and adult fish. During cranial vault development, the transgenic fish show a high amount of tcf12 expressing cells at the growth fronts of the ossifying frontal and parietal bones and inside the emerging cranial sutures. Subsequently, we tested the transcriptional activity of three evolutionary conserved non-coding elements (CNEs) located in the tcf12 locus by transient transgenic assays and compared their in vivo activity to the expression pattern determined in the transgenic tcf12:EGFP lines. We could validate two of them as tcf12 enhancer elements driving specific gene expression in the CNS during embryogenesis. Our newly established transgenic lines enhance the understanding of tcf12 gene regulation and open up the possibilities for further functional investigation of these novel tcf12 enhancer elements in zebrafish.
Opsin 1 and Opsin 2 of the corn smut fungus ustilago maydis are green light-driven proton pumps
(2019)
In fungi, green light is absorbed by rhodopsins, opsin proteins carrying a retinal molecule as chromophore. The basidiomycete Ustilago maydis, a fungal pathogen that infects corn plants, encodes three putative photoactive opsins, called ops1 (UMAG_02629), ops2 (UMAG_00371), and ops3 (UMAG_04125). UmOps1 and UmOps2 are expressed during the whole life cycle, in axenic cultures as well as in planta, whereas UmOps3 was recently shown to be absent in axenic cultures but highly expressed during plant infection. Here we show that expression of UmOps1 and UmOps2 is induced by blue light under control of white collar 1 (Wco1). UmOps1 is mainly localized in the plasma membrane, both when expressed in HEK cells and U. maydis sporidia. In contrast, UmOps2 was mostly found intracellularly in the membranes of vacuoles. Patch-clamp studies demonstrated that both rhodopsins are green light-driven outward rectifying proton pumps. UmOps1 revealed an extraordinary pH dependency with increased activity in more acidic environment. Also, UmOps1 showed a pronounced, concentration-dependent enhancement of pump current caused by weak organic acids (WOAs), especially by acetic acid and indole-3-acetic acid (IAA). In contrast, UmOps2 showed the typical behavior of light-driven, outwardly directed proton pumps, whereas UmOps3 did not exhibit any electrogenity. With this work, insights were gained into the localization and molecular function of two U. maydis rhodopsins, paving the way for further studies on the biological role of these rhodopsins in the life cycle of U. maydis.
The central nervous system (CNS) barriers are highly specialized cellular barriers that promote brain homeostasis while restricting pathogen and toxin entry. The primary cellular constituent regulating pathogen entry in most of these brain barriers is the brain endothelial cell (BEC) that exhibits properties that allow for tight regulation of CNS entry. Bacterial meningoencephalitis is a serious infection of the CNS and occurs when bacteria can cross specialized brain barriers and cause inflammation. Models have been developed to understand the bacterial – BEC interaction that lead to pathogen crossing into the CNS, however, these have been met with challenges due to these highly specialized BEC phenotypes. This perspective provides a brief overview and outlook of the in vivo and in vitro models currently being used to study bacterial brain penetration, and opinion on improved models for the future.
Das humane Schädeldach besteht aus fünf Schädelplatten, die durch intramembranöse Ossifikation entstehen. Wenn diese in der Embryonalentwicklung aufeinandertreffen, bilden sich Schädelnähte aus, die eine Fusion der Schädelplatten verhindern und damit ein Schädelwachstum parallel zu Gehirnentwicklung ermöglichen. Für diesen Prozess ist eine Balance aus Zellproliferation und Differenzierung nötig, deren Aufrechterhaltung wiederum durch eine komplexe Regulation von verschiedenen Signalwegen gewährleistet wird. Störungen in diesem regulatorischen System können zu einer vorzeitigen Fusion der Schädelplatten, Kraniosynostose genannt, führen. Die Kraniosynostose ist eine der häufigsten kraniofazialen Fehlbildungen beim Menschen. Durch kompensatorisches Wachstum an den nicht fusionierten Suturen entstehen charakteristische Schädeldeformationen, die sekundär einen erhöhten intrakranialen Druck zur Folge haben können. Eine vorzeitige Fusion der Suturen kann sowohl isoliert als auch syndromal zusammen mit weiteren klinischen Auffälligkeiten vorliegen. Bisher sind über 150 verschiedene Kraniosynostose Syndrome beschrieben und insgesamt 25-30% aller Kraniosynostose Patienten sind von einer syndromalen Form betroffen. Da die klinischen Merkmale der Kraniosynostose Syndrome variabel sind und zum Teil überlappen, ist eine klare klinische Diagnose häufig erschwert. Sowohl Umwelteinflüsse als auch genetische Veränderungen können die Ursache für Kraniosynostosen sein. Vor allem bei syndromalen Kraniosynostosen wurden genetische Veränderungen, wie beispielsweise Mutationen in den Genen FGFR2, FGFR3, TWIST1 und EFNB1, identifiziert. Darüber hinaus wurden chromosomale Veränderungen wie partielle Monosomien von 7p, 9p oder 11p sowie partielle Trisomien von 5q, 13q oder 15q mit Kraniosynostose assoziiert. Trotzdem ist in über 50% der Fälle die genetische Ursache unbekannt und die Pathogenese von Kraniosynostosen noch nicht vollständig geklärt.
Ziel dieser Arbeit war es neue genetische Ursachen bei Kraniosynostose Patienten zu identifizieren und so zur Aufklärung der Pathogenese beizutragen. Es wurde die genomische DNA von 83 Patienten molekulargenetisch durch Mikroarray basierte vergleichende Genomhybridisierung (Array-CGH) oder durch ein speziell entworfenes Next Generation Sequencing (NGS) Genpanel untersucht. Bei 30% der Patienten konnte eine potentiell pathogene Veränderung identifiziert werden. Davon waren 23% chromosomale Aberrationen wie unbalancierte Translokationen, isolierte interstitielle Verluste und ein Zugewinn an genomischen Material. Bei zwei Patienten wurden unbalancierte Translokationen mit partieller 5q Trisomie nachgewiesen. Das Gen MSX2 liegt innerhalb des duplizierten Bereichs, sodass möglicherweise eine MSX2 Überexpression vorliegt. Für ein normales Schädelwachstum ist jedoch die richtige Menge an MSX2 kritisch. Des Weiteren wurde eine partielle Deletion von TCF12 detektiert, die in einer Haploinsuffizienz von TCF12 resultiert. TCF12 Mutationen sind mit Koronarnahtsynosten assoziiert. In einem anderen Fall lag das Gen FGF10 innerhalb der duplizierten 5p15.1-p12 Region. Das Gen kodiert für einen Liganden des FGF Signalwegs und wurde bisher noch nicht mit Kraniosynostose assoziiert. Aufgrund dessen wurden Analysen im Tiermodell Danio rerio durchgeführt. Eine simulierte Überexpression durch Injektion der fgf10a mRNA in das 1-Zell Stadium führte zu schweren Gehirn-, Herz- und Augendefekten.
Mittels NGS wurden 77% der potentiell pathogenen genetischen Veränderungen identifiziert. Hierfür wurde in dieser Arbeit ein Genpanel erstellt, das 68 Gene umfasst. Es wurden sowohl bekannte Kraniosynostose- als auch Kandidaten-Gene sowie Gene, die mit der Ossifikation assoziiert sind, in die Analyse eingeschlossen. Das Genpanel wurde durch die Sequenzierung von fünf Kontrollproben mit bekannten Mutationen erfolgreich validiert. Anschließend wurde die genomische DNA von 66 Patienten analysiert. Es konnten 20 (potentiell) pathogene Varianten identifiziert werden. Neben bereits bekannten Mutationen in den Genen FGFR1, FGFR2, FGFR3 und TWIST1, konnten zusätzlich 8 neue, potentiell pathogene Varianten in den Genen ERF, MEGF8, MSX2, PTCH1 und TCF12 identifiziert werden. Die Ergebnisse dieser Arbeit tragen dazu bei das Mutationsspektrum dieser Gene zu erweitern. Bei zwei der Varianten handelte es sich um potentielle Spleißvarianten. Für diese konnte in einem in vitro Spleißsystem gezeigt werden, dass sie eine Änderung des Spleißmusters bewirken. Der Nachweis von zwei seltenen Varianten in den Genen FGFR2 und HUWE1 hat außerdem dazu beigetragen die Pathogenität dieser spezifischen Varianten zu bekräftigen. Eine Variante in POR, die aufgrund bioinformatischer Analysen als potentiell pathogen bewertet wurde, wurde nach der Segregationsanalyse als wahrscheinlich benigne eingestuft. Zusammenfassend konnten bei etwa einem Drittel der Patienten, die mit dem NGS Genpanel analysiert wurden, eine genetische Ursache identifiziert werden. Dieses Genpanel stellt somit ein effizientes diagnostisches Tool dar, das zukünftig in der genetischen Routine-Diagnostik von Kraniosynostose-Patienten eingesetzt werden kann. Die Ergebnisse dieser Arbeit zeigen, dass sowohl eine Untersuchung auf CNVs als auch auf Sequenzänderungen bei Kraniosynostose Patienten sinnvoll ist.
This thesis elucidates patterns and drivers of invertebrate herbivory, herbivore diversity, and community-level biomass along elevational and land use gradients at Mt. Kilimanjaro, Tanzania.
Chapter I provides background information on the response and predictor variables, study system, and the study design. First, I give an overview of the elevational patterns of species diversity/richness and herbivory published in the literature. The overview illuminates existing debates on elevational patterns of species diversity/richness and herbivory. In connection to these patterns, I also introduce several hypotheses and mechanisms put forward to explain macroecological patterns of species richness. Furthermore, I explain the main variables used to test hypotheses. Finally, I describe the study system and the study design used.
Chapter II explores the patterns of invertebrate herbivory and their underlying drivers along extensive elevational and land use gradients on the southern slopes of Mt. Kilimanjaro. I recorded standing leaf herbivory from leaf chewers, leaf miners and gall-inducing insects on 55 study sites located in natural and anthropogenic habitats distributed from 866 to 3060 meters above sea level (m asl) on Mt. Kilimanjaro. Standing leaf herbivory was related to climatic variables [mean annual temperature - (MAT) and mean annual precipitation - (MAP)], net primary productivity (NPP) and plant functional traits (leaf traits) [specific leaf area (SLA), carbon to nitrogen ratio (CN), and nitrogen to phosphorous ratio (NP)]. Results revealed an unimodal pattern of total leaf herbivory along the elevation gradient in natural habitats. Findings also revealed differences in the levels and patterns of herbivory among feeding guilds and between anthropogenic and natural habitats. Changes in NP and CN ratios which were closely linked to NPP were the strongest predictors of leaf herbivory. Our study uncovers the role of leaf nutrient stoichiometry and its linkages to climate in explaining the variation in leaf herbivory along climatic gradients.
Chapter III presents patterns and unravels direct and indirect effects of resource (food) abundance (NPP), resource (food) diversity [Functional Dispersion (FDis)], resource quality (SLA, NP, and CN rations), and climate variables (MAT and MAP) on species diversity of phytophagous beetles. Data were collected from 65 study sites located in natural and anthropogenic habitats distributed from 866 to 4550 m asl on the southern slopes of Mt. Kilimanjaro. Sweep net and beating methods were used to collect a total of 3,186 phytophagous beetles representing 21 families and 304 morphospecies. Two groups, weevils (Curculionidae) and leaf beetles (Chrysomelidae) were the largest and most diverse families represented with 898 and 1566 individuals, respectively. Results revealed complex (bimodal) and dissimilar patterns of Chao1-estimated species richness (hereafter referred to as species diversity) along elevation and land use gradients. Results from path analysis showed that temperature and climate-mediated changes in NPP had a significant positive direct and indirect effect on species diversity of phytophagous beetles, respectively. The results also revealed that the effect of NPP (via beetles abundance and diversity of food resources) on species diversity is stronger than that of temperature. Since we found that factors affecting species diversity were intimately linked to climate, I concluded that predicted climatic changes over the coming decades will likely alter the species diversity patterns which we observe today.
Chapter IV presents patterns and unravels the direct and indirect effects of climate, NPP and anthropogenic disturbances on species richness and community-level biomass of wild large mammals which represent endothermic organisms and the most important group of vertebrate herbivores. Data were collected from 66 study sites located in natural and anthropogenic habitats distributed from 870 to 4550 m asl on the southern slopes of Mt. Kilimanjaro. Mammals were collected using camera traps and used path analysis to disentangle the direct and indirect effects of climatic variables, NPP, land use, land area, levels of habitat protection and occurrence of domesticated mammals on the patterns of richness and community-level biomass of wild mammals, respectively. Results showed unimodal patterns for species richness and community-level biomass of wild mammals along elevation gradients and that the patterns differed depending on the type of feeding guild. Findings from path analysis showed that net primary productivity and levels of habitat protection had a strong direct effect on species richness and community-level biomass of wild mammals whereas temperature had an insignificant direct effect. Findings show the importance of climate-mediated food resources in determining patterns of species richness of large mammals. While temperature is among key predictors of species richness in several ectotherms, its direct influence in determining species richness of wild mammals was insignificant. Findings show the sensitivity of wild mammals to anthropogenic influences and underscore the importance of protected areas in conserving biodiversity.
In conclusion, despite a multitude of data sets on species diversity and ecosystem functions along broad climatic gradients, there is little mechanistic understanding of the underlying causes. Findings obtained in the three studies illustrate their contribution to the scientific debates on the mechanisms underlying patterns of herbivory and diversity along elevation gradients. Results present strong evidence that plant functional traits play a key role in determining invertebrate herbivory and species diversity along elevation gradients and that, their strong interdependence with climate and anthropogenic activities will shape these patterns in future. Additionally, findings from path analysis demonstrated that herbivore diversity, community-level biomass, and herbivory are strongly influenced by climate (either directly or indirectly). Therefore, the predicted climatic changes are expected to dictate ecological patterns, biotic interactions, and energy and nutrient fluxes in terrestrial ecosystems in the coming decades with stronger impacts probably occurring in natural ecosystems. Furthermore, findings demonstrated the significance of land use effects in shaping ecological patterns. As anthropogenic pressure is advancing towards more pristine higher elevations, I advocate conservation measures which are responsive to and incorporate human dimensions to curb the situation. Although our findings emanate from observational studies which have to take several confounding factors into account, we have managed to demonstrate global change responses in real ecosystems and fully established organisms with a wide range of interactions which are unlikely to be captured in artificial experiments. Nonetheless, I recommend additional experimental studies addressing the effect of top-down control by natural enemies on herbivore diversity and invertebrate herbivory in order to deepen our understanding of the mechanisms driving macroecological patterns along elevation gradients.
Abiotic stress by elevated tropospheric ozone and temperature can alter plants’ metabolism, growth, and nutritional value and modify the life cycle of their herbivores. We investigated how the duration of exposure of Sinapis arvensis plants to high ozone and temperature levels affect the life cycle of the large cabbage white, Pieris brassicae. Plants were exposed to ozone-clean (control) or ozone-enriched conditions (120 ppb) for either 1 or 5 days and were afterwards kept in a greenhouse with variable temperature conditions. When given the choice, P. brassicae butterflies laid 49% fewer eggs on ozone-exposed than on control plants when the exposure lasted for 5 days, but showed no preference when exposure lasted for 1 day. The caterpillars took longer to hatch on ozone-exposed plants and at lower ambient temperatures. The ozone treatment had a positive effect on the survival of the eggs. Ozone decreased the growth of caterpillars reared at higher temperatures on plants exposed for 5 days, but not on plants exposed for 1 day. Overall, longer exposure of the plants to ozone and higher temperatures affected the life cycle of the herbivore more strongly. With global warming, the indirect impacts of ozone on herbivores are likely to become more common.
The plasma membrane is one of the most thoroughly studied and at the same time most complex, diverse, and least understood cellular structures. Its function is determined by the molecular composition as well as the spatial arrangement of its components. Even after decades of extensive membrane research and the proposal of dozens of models and theories, the structural organization of plasma membranes remains largely unknown. Modern imaging tools such as super-resolution fluorescence microscopy are one of the most efficient techniques in life sciences and are widely used to study the spatial arrangement and quantitative behavior of biomolecules in fixed and living cells. In this work, direct stochastic optical reconstruction microscopy (dSTORM) was used to investigate the structural distribution of mem-brane components with virtually molecular resolution. Key issues are different preparation and staining strategies for membrane imaging as well as localization-based quantitative analyses of membrane molecules.
An essential precondition for the spatial and quantitative analysis of membrane components is the prevention of photoswitching artifacts in reconstructed localization microscopy images. Therefore, the impact of irradiation intensity, label density and photoswitching behavior on the distribution of plasma membrane and mitochondrial membrane proteins in dSTORM images was investigated. It is demonstrated that the combination of densely labeled plasma membranes and inappropriate photoswitching rates induces artificial membrane clusters. Moreover, inhomogeneous localization distributions induced by projections of three-dimensional membrane structures such as microvilli and vesicles are prone to generate artifacts in images of biological membranes. Alternative imaging techniques and ways to prevent artifacts in single-molecule localization microscopy are presented and extensively discussed.
Another central topic addresses the spatial organization of glycosylated components covering the cell membrane. It is shown that a bioorthogonal chemical reporter system consisting of modified monosaccharide precursors and organic fluorophores can be used for specific labeling of membrane-associated glycoproteins and –lipids. The distribution of glycans was visualized by dSTORM showing a homogeneous molecule distribution on different mammalian cell lines without the presence of clusters. An absolute number of around five million glycans per cell was estimated and the results show that the combination of metabolic labeling, click chemistry, and single-molecule localization microscopy can be efficiently used to study cell surface glycoconjugates.
In a third project, dSTORM was performed to investigate low-expressing receptors on cancer cells which can act as targets in personalized immunotherapy. Primary multiple myeloma cells derived from the bone marrow of several patients were analyzed for CD19 expression as potential target for chimeric antigen receptor (CAR)-modified T cells. Depending on the patient, 60–1,600 CD19 molecules per cell were quantified and functional in vitro tests demonstrate that the threshold for CD19 CAR T recognition is below 100 CD19 molecules per target cell. Results are compared with flow cytometry data, and the important roles of efficient labeling and appropriate control experiments are discussed.