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Lung cancer is the main cause of cancer-related deaths worldwide. Despite the availability of several targeted therapies and immunotherapies in the clinics, the prognosis for lung cancer remains poor. A major problem for the low benefit of these therapies is intrinsic and acquired resistance, asking for pre-clinical models for closer investigation of predictive biomarkers for refined personalized medicine and testing of possible combination therapies as well as novel therapeutic approaches to break resistances.
One third of all lung adenocarcinoma harbor mutations in the KRAS gene, of which 39 % are transitions from glycine to cysteine in codon 12 (KRASG12C). Being considered “undruggable” in previous decades, KRASG12C-inhibitors now paved the way into the standard-of-care for lung adenocarcinoma treatment in the clinics. Still, the overall response rates as well as overall survival of patients treated with KRASG12C-inhibitors are sobering. Therefore, 3D KRASG12C-biomarker in vitro models were developed based on a decellularized porcine jejunum (SISmuc) using commercial and PDX-derived cell lines and characterized in regards of epithelial-mesenchymal-transition (EMT), stemness, proliferation, invasion and c-MYC expression as well as the sensitivity towards KRASG12C-inhibiton. The phenotype of lung tumors harboring KRAS mutations together with a c-MYC overexpression described in the literature regarding invasion and proliferation for in vivo models was well represented in the SISmuc models. A higher resistance towards targeted therapies was validated in the 3D models compared to 2D cultures, while reduced viability after treatment with combination therapies were exclusively observed in the 3D models. In the test system neither EMT, stemness nor the c-MYC expression were directly predictive for drug sensitivity. Testing of a panel of combination therapies, a sensitizing effect of the aurora kinase A (AURKA) inhibitor alisertib for the KRASG12C-inhibitor ARS-1620 directly correlating with the level of c-MYC expression in the corresponding 3D models was observed. Thereby, the capability of SISmuc tumor models as an in vitro test system for patient stratification was demonstrated, holding the possibility to reduce animal experiments.
Besides targeted therapies the treatment of NSCLC with oncolytic viruses (OVs) is a promising approach. However, a lack of in vitro models to test novel OVs limits the transfer from bench to bedside. In this study, 3D NSCLC models based on the SISmuc were evaluated for their capability to perform efficacy and risk assessment of oncolytic viruses (OVs) in a pre-clinical setting. Hereby, the infection of cocultures of tumor cells and fibroblasts on the SISmuc with provided viruses demonstrated that in contrast to a wildtype herpes simplex virus 1 (HSV-1) based OV, the attenuated version of the OV exhibited specificity for NSCLC cells with a more advanced and highly proliferative phenotype, while fibroblasts were no longer permissive for infection. This approach introduced SISmuc tumor models as novel test system for in vitro validation of OVs.
Finally, a workflow for validating the efficacy of anti-cancer therapies in 3D tumor spheroids was established for the transfer to an automated platform based on a two-arm-robot system. In a proof-of-concept process, H358 spheroids were characterized and treated with the KRASG12C-inhibitor ARS-1620. A time- and dose-dependent reduction of the spheroid area after treatment was defined together with a live/dead-staining as easy-to-perform and cost-effective assays for automated drug testing that can be readily performed in situ in an automated system.
Attention-deficit/hyperactivity disorder (ADHD) is the most prevalent neurodevelopmental disorder described in psychiatry today. ADHD arises during early childhood and is characterized by an age-inappropriate level of inattention, hyperactivity, impulsivity, and partially emotional dysregulation. Besides, substantial psychiatric comorbidity further broadens the symptomatic spectrum. Despite advances in ADHD research by genetic- and imaging studies, the etiopathogenesis of ADHD remains largely unclear. Twin studies suggest a heritability of 70-80 % that, based on genome-wide investigations, is assumed to be polygenic and a mixed composite of small and large, common and rare genetic variants. In recent years the number of genetic risk candidates is continuously increased. However, for most, a biological link to neuropathology and symptomatology of the patient is still missing. Uncovering this link is vital for a better understanding of the disorder, the identification of new treatment targets, and therefore the development of a more targeted and possibly personalized therapy.
The present thesis addresses the issue for the ADHD risk candidates GRM8, FOXP2, and GAD1. By establishing loss of function zebrafish models, using CRISPR/Cas9 derived mutagenesis and antisense oligonucleotides, and studying them for morphological, functional, and behavioral alterations, it provides novel insights into the candidate's contribution to neuropathology and ADHD associated phenotypes. Using locomotor activity as behavioral read-out, the present work identified a genetic and functional implication of Grm8a, Grm8b, Foxp2, and Gad1b in ADHD associated hyperactivity. Further, it provides substantial evidence that the function of Grm8a, Grm8b, Foxp2, and Gad1b in activity regulation involves GABAergic signaling. Preliminary indications suggest that the three candidates interfere with GABAergic signaling in the ventral forebrain/striatum. However, according to present and previous data, via different biological mechanisms such as GABA synthesis, transmitter release regulation, synapse formation and/or transcriptional regulation of synaptic components. Intriguingly, this work further demonstrates that the activity regulating circuit, affected upon Foxp2 and Gad1b loss of function, is involved in the therapeutic effect mechanism of methylphenidate. Altogether, the present thesis identified altered GABAergic signaling in activity regulating circuits in, presumably, the ventral forebrain as neuropathological underpinning of ADHD associated hyperactivity. Further, it demonstrates altered GABAergic signaling as mechanistic link between the genetic disruption of Grm8a, Grm8b, Foxp2, and Gad1b and ADHD symptomatology like hyperactivity. Thus, this thesis highlights GABAergic signaling in activity regulating circuits and, in this context, Grm8a, Grm8b, Foxp2, and Gad1b as exciting targets for future investigations on ADHD etiopathogenesis and the development of novel therapeutic interventions for ADHD related hyperactivity. Additionally, thigmotaxis measurements suggest Grm8a, Grm8b, and Gad1b as interesting candidates for prospective studies on comorbid anxiety in ADHD. Furthermore, expression analysis in foxp2 mutants demonstrates Foxp2 as regulator of ADHD associated gene sets and neurodevelopmental disorder (NDD) overarching genetic and functional networks with possible implications for ADHD polygenicity and comorbidity. Finally, with the characterization of gene expression patterns and the generation and validation of genetic zebrafish models for Grm8a, Grm8b, Foxp2, and Gad1b, the present thesis laid the groundwork for future research efforts, for instance, the identification of the functional circuit(s) and biological mechanism(s) by which Grm8a, Grm8b, Foxp2, and Gad1b loss of function interfere with GABAergic signaling and ultimately induce hyperactivity.
The holy grail of structural biology is to study a protein in situ, and this goal has been fast approaching since the resolution revolution and the achievement of atomic resolution. A cell's interior is not a dilute environment, and proteins have evolved to fold and function as needed in that environment; as such, an investigation of a cellular component should ideally include the full complexity of the cellular environment. Imaging whole cells in three dimensions using electron cryotomography is the best method to accomplish this goal, but it comes with a limitation on sample thickness and produces noisy data unamenable to direct analysis. This thesis establishes a novel workflow to systematically analyse whole-cell electron cryotomography data in three dimensions and to find and identify instances of protein complexes in the data to set up a determination of their structure and identity for success. Mycoplasma pneumoniae is a very small parasitic bacterium with fewer than 700 protein-coding genes, is thin enough and small enough to be imaged in large quantities by electron cryotomography, and can grow directly on the grids used for imaging, making it ideal for exploratory studies in structural proteomics. As part of the workflow, a methodology for training deep-learning-based particle-picking models is established.
As a proof of principle, a dataset of whole-cell Mycoplasma pneumoniae tomograms is used with this workflow to characterize a novel membrane-associated complex observed in the data. Ultimately, 25431 such particles are picked from 353 tomograms and refined to a density map with a resolution of 11 Å. Making good use of orthogonal datasets to filter search space and verify results, structures were predicted for candidate proteins and checked for suitable fit in the density map. In the end, with this approach, nine proteins were found to be part of the complex, which appears to be associated with chaperone activity and interact with translocon machinery.
Visual proteomics refers to the ultimate potential of in situ electron cryotomography: the comprehensive interpretation of tomograms. The workflow presented here is demonstrated to help in reaching that potential.
MDSCs are suppressive immune cells with a high relevance in various pathologies including cancer, autoimmunity, and chronic infections. Surface marker expression of MDSCs resembles monocytes and neutrophils which have immunostimulatory functions instead of suppressing T cells. Therefore, finding specific surface markers for MDSCs is important for MDSC research and therapeutic MDSC manipulation. In this study, we analyzed if the integrin VLA-1 has the potential as a novel MDSC marker. VLA-1 was expressed by M-MDSCs but not by G-MDSCs as well as by Teff cells. VLA-1 deficiency did not impact iNOS expression, the distribution of M-MDSC and G-MDSC subsets, and the suppressive capacity of MDSCs towards naïve and Teff cells in vitro. In mice, VLA-1 had no effect on the homing capability of MDSCs to the spleen, which is a major reservoir for MDSCs. Since the splenic red pulp contains collagen IV and VLA-1 binds collagen IV with a high affinity, we found MDSCs and Teff cells in this area as expected. We showed that T cell suppression in the spleen, indicated by reduced T cell recovery and proliferation as well as increased apoptosis and cell death, partially depended on VLA-1 expression by the MDSCs. In a mouse model of multiple sclerosis, MDSC injection prior to disease onset led to a decrease of the disease score, and this effect was significantly reduced when MDSCs were VLA-1 deficient. The expression of Sema7A by Teff cells, a ligand for VLA-1 which is implicated in negative T cell regulation, resulted in a slightly stronger Teff cell suppression by MDSCs compared to Sema7A deficient T cells. Live cell imaging and intravital 2-photon microscopy showed that the interaction time of MDSCs and Teff cells was shorter when MDSCs lacked VLA 1 expression, however VLA-1 expression had no impact on MDSC mobility. Therefore, the VLA-1-dependent interaction of MDSC and Teff cells on collagen IV in the splenic red pulp is implicated MDSC-mediated Teff cell suppression.
The research that is compiled in this thesis can be divided in two parts. The first part, consisting of four chapters, is centered around the role of epigenetic dysregulation in the etiopathophysiology of sporadic alzheimer's disease (sAD). In addition to providing insights into the most recent developments in neuroepigenomic studies of this disease, the first part of the thesis also touches upon remaining challenges, and provides a future outlook on possible developments in the field. The second part, which includes three more chapters, is focused on the application of induced pluripotent stem cell (iPSC)-based disease models for the study of AD, including but not limited to mechanistic studies on epigenetic dysregulation using this platform. Aside from outlining the research that has been conducted using iPSC-based models for sAD to date, the second part of the thesis also provides insights into the acquisition of disease-relevant neural cultures based on directed differentiation of iPSCs, and furthermore includes an experimental approach for the establishment of such a model system.
Regulatory T cells (Tregs) are the masters of immune regulation controlling inflammation and tolerance, tissue repair and homeostasis. Multiple immunological diseases result from altered Treg frequencies and Treg dysfunction. We hypothesized that augmenting Treg function and numbers would prevent inflammatory disease whereas inhibiting or depleting Tregs would improve cancer immunotherapy.
In the first part of this thesis, we explored whether in vivo activation and expansion of Tregs would impair acute graft-versus-host disease (aGvHD). In this inflammatory disease, Tregs are highly pathophysiological relevant and their adoptive transfer proved beneficial on disease outcome in preclinical models and clinical studies. IL-2 has been recognized as a key cytokine for Treg function. Yet, attempts in translating Treg expansion via IL-2 have remained challenging, due to IL-2s extremely broad action on other cell types including effector T cells, NK cells, eosinophils and vascular leakage syndrome, and importantly, due to poor pharmacokinetics in vivo. We addressed the latter issue using an IL-2-IgG-fusion protein (irrIgG-IL-2) with improved serum retention and demonstrated profound Treg expansion in vivo in FoxP3-luciferase reporter mice. Further, we augmented Treg numbers and function via the selective-TNF based agonists of TNFR2 (STAR2). Subsequently, we tested a next-generation TNFR2 agonist, termed NewSTAR, which proved even more effective. TNFR2 stimulation augmented Treg numbers and function and was as good as or even superior to the IL-2 strategy. Finally, in a mouse model of aGvHD we proved the clinical relevance of Treg expansion and activation with irrIgG-IL-2, STAR2 and NewSTAR. Notably, the TNFR2 stimulating constructs were outstanding as we observed not the IL-2 prototypic effects on other cell populations and no severe side effects.
In the second part of this thesis, we explored Tregs in pancreatic ductal adenocarcinoma (PDAC) and developed targeting strategies. Among several tumor entities in which Tregs impact survival, preclinical and clinical data demonstrated their negative role on PDAC. In our studies we employed the orthotopic syngeneic Panc02 model in immunocompetent mice. Based on flow cytometric analysis of the tumor microenvironment we propose TIGIT and TNFRSF members as novel therapeutic targets. Surprisingly, we found that blocking TNFR2 did not interfere with intratumoral Treg accumulation. However, we decreased the highly abundant intratumoral Tregs when we disrupted the tumor extracellular matrix. In PDAC, Treg manipulation alone did not lead to tumor regression and we propose that an additional immune boost may be necessary for efficient tumor immune surveillance and cancer clearance. This contrasts with aGvHD, in which Treg manipulation alone was sufficient to improve disease outcome.
Conclusively, we demonstrated the enormous medical benefit of Treg manipulation. Our promising data obtained with our newly developed powerful tools highlight the potential to translate our findings into clinical practice to therapeutically target human Tregs in patients. With novel TNFR2 agonists (STAR2, NewSTAR) we augmented Treg numbers and function as (or even more) effectively than with IL-2, without causing adverse side effects. Importantly, exogenous in vivo Treg expansion protected mice from aGvHD. For the therapy of PDAC, we identified novel targets on Tregs, notably TIGIT and members of the TNFRSF. We demonstrated that altering the extracellular tumor matrix can efficiently disrupt the Treg abundance in tumors. These novel targeting strategies appear as attractive new treatment options and they may benefit patients suffering from inflammatory disease and cancer in the future.
The interaction between circadian clocks and metabolism is of increasing interest, since clock dysfunction often correlates with metabolic pathologies. Many research articles have been published analysing the impact of factors such as circadian clock, light, feeding time and diet-type on energy homeostasis in various tissues/organs of organisms with most of the findings done in mammals. Little is known about the impact of circadian clock and the above-mentioned factors on circulating lipids, especially the transport form of lipids - diacylglycerol (DG) and membrane lipids such as phosphatidylethanolamine (PE) and phosphatidylcholine (PC) in the Drosophila hemolymph. The fruit fly Drosophila is a prime model organism in circadian, behaviour and metabolism research.
To study the role of circadian clock and behaviour in metabolism, we performed an extensive comparative hemolymph lipid (diacylglycerol: DG, phosphatidylethanolamine: PE, phosphatidylcholine: PC) analysis using ultra performance liquid chromatography coupled to time-of-flight mass spectrometry (UPLC-MS) between wild-type flies (WTCS) and clock disrupted mutants (per01). In addition, clock controlled food intake– feeding behaviour was investigated. Time-dependent variation of transport (DG) and membrane lipids (PE and PC) were not rhythmic in WTCS under constant darkness and in per01 under LD, suggesting an impact of light and clock genes on daily lipid oscillations. Day-time and night-time restriction of food led to comparable lipid profiles, suggesting that lipid oscillations are not exclusively entrained by feeding but rather are endogenously regulated. Ultradian oscillations in lipid levels in WTCS under LD were masked by digested fatty acids since lipid levels peaked more robustly at the beginning and end of light phase when flies were fed a lipid- and protein-free diet. These results suggest that metabolite (DG, PE and PC) oscillation is influenced by complex interactions between nutrient-type, photic conditions, circadian clock and feeding time.
In conclusion, the results of this thesis suggest that circadian clocks determine transport and membrane lipid oscillation in Drosophila hemolymph in complex interactions between nutrient-type, photic conditions and feeding behaviour.
Wilms tumor (WT) is the most common renal tumor in childhood. Among others, MYCN copy number gain and MYCN P44L and MAX R60Q mutations have been identified in WT. The proto-oncogene MYCN encodes a transcription factor that requires dimerization with MAX to activate transcription of numerous target genes. MYCN gain has been associated with adverse prognosis. The MYCN P44L and MAX R60Q mutations, located in either the transactivating or basic helix-loop-helix domain, respectively, are predicted to be damaging by different pathogenicity prediction tools. These mutations have been reported in several other cancers and remain to be functionally characterized.
In order to further describe these events in WT, we screened both mutations in a large cohort of unselected WT patients, to check for an association of the mutation status with certain histological or clinical features. MYCN P44L and MAX R60Q revealed frequencies of 3 % and 0.9 % and also were significantly associated to higher risk of relapse and metastasis, respectively. Furthermore, to get a better understanding of the MAX mutational landscape in WT, over 100 WT cases were analyzed by Sanger sequencing to identify other eventual MAX alterations in its coding sequence. R60Q remained the only MAX CDS alteration described in WT to date.
To analyze the potential functional consequences of these mutations, we used a doxycycline-inducible system to overexpress each mutant in HEK293 cells. This biochemical characterization identified a reduced transcriptional activation potential for MAX R60Q, while the MYCN P44L mutation did not change activation potential or protein stability. The protein interactome of N-MYC-P44L was likewise not altered as shown by mass spectrometric analyses of purified N-MYC complexes. However, we could identify a number of novel N-MYC partner proteins, several of these known for their oncogenic potential. Their correlated expression in WT samples suggested a role in WT oncogenesis and they expand the range of potential biomarkers for WT stratification and targeting, especially for high-risk WT.
Clostridioides difficile is a bacterial species well known for its ability to cause C. difficile
infection (also known as CDI). The investigation of the role of this species in the human
gut has been so far dominated by a disease-centred perspective, focused on studying
C. difficile in relation to its associated disease.
In this context, the first aim of this thesis was to combine publicly available
metagenomic data to analyse the microbial composition of stool samples from patients
diagnosed with CDI, with a particular focus on identifying a CDI-specific microbial
signature.
However, similarly to many other bacterial species inhabiting the human gut, C.
difficile association with disease is not valid in absolute terms, as C. difficile can be
found also among healthy subjects. Further aims of this thesis were to 1) identify
potential C. difficile reservoirs by screening a wide range of habitats, hosts, body sites
and age groups, and characterize the biotic context associated with C. difficile
presence, and 2) investigate C. difficile within-species diversity and its toxigenic
potential across different age groups.
The first part of the thesis starts with the description of the concepts and
definitions used to identify bacterial species and within-species diversity, and then
proceeds to provide an overview of the bacterial species at the centre of my
investigation, C. difficile. The first Chapter includes a detailed description of the
discovery, biology and physiology of this clinically relevant species, followed by an
overview of the diagnostic protocols used in the clinical setting to diagnose CDI.
The second part of the thesis describes the methodology used to investigate
the questions mentioned above, while the third part presents the results of such
investigative effort. I first show that C. difficile could be found in only a fraction of the
CDI samples and that simultaneous colonization of multiple enteropathogenic species
able to cause CDI-like clinical manifestations is more common than previously
thought, raising concerns about CDI overdiagnosis. I then show that the CDIassociated
gut microbiome is characterized by a specific microbial signature,
distinguishable from the community composition associated with non-CDI diarrhea.
Beyond the nosocomial and CDI context, I show that while rarely found in adults, C.
difficile is a common member of the infant gut microbiome, where its presence is
associated with multiple indicators typical of a desirable healthy microbiome
development.
In addition, I describe C. difficile extensive carriage among asymptomatic
subjects, of all age groups and a potentially novel clade of C. difficile identified
exclusively among infants.
Finally, I discuss the limitations, challenges and future perspectives of my
investigation.
Neisseria gonorrhoeae (GC) is a human specific pathogenic bacterium. Currently, N. gonorrhoeae developed resistance to virtually all the available antibiotics used for treatment. N. gonorrhoeae starts infection by colonizing the cell surface, followed by invasion of the host cell, intracellular persistence, transcytosis and exit into the subepithelial space. Subepithelial bacteria can reach the bloodstream and disseminate to other tissues causing systemic infections, which leads to serious conditions such as arthritis and pneumonia. A number of studies have well established the host-pathogen interactions during the initial adherence and invasion steps. However, the mechanism of intracellular survival and traversal is poorly understood so far. Hence, identification of novel bacterial virulence factors and host factors involved in the host-pathogen interaction is a crucial step in understanding disease development and uncovering novel therapeutic approaches. Besides, most of the previous studies about N. gonorrhoeae were performed in the conventional cell culture. Although they have provided insights into host-pathogen interactions, much information about the native infection microenvironment, such as cell polarization and barrier function, is still missing.
This work focused on determining the function of novel bacterial virulence factor NGFG_01605 and host factor (FLCN) in gonococcal infection. NGFG_01605 was identified by Tn5 transposon library screening. It is a putative U32 protease. Unlike other proteins in this family, it is not secreted and has no ex vivo protease activity. NGFG_01605 knockout decreases gonococcal survival in the epithelial cell. 3D models based on T84 cell was developed for the bacterial transmigration assay. NGFG_01605 knockout does not affect gonococcal transmigration.
The novel host factor FLCN was identified by shRNA library screening in search for factors that affected gonococcal adherence and/or internalization. We discovered that FLCN did not affect N. gonorrhoeae adherence and invasion but was essential for bacterial survival. Since programmed cell death is a host defence mechanism against intracellular pathogens, we further explored apoptosis and autophagy upon gonococcal infection and determined that FLCN did not affect apoptosis but inhibited autophagy. Moreover, we found that FLCN inhibited the expression of E-cadherin. Knockdown of E- cadherin decreased the autophagy flux and supported N. gonorrhoeae survival. Both non-polarized and polarized cells are present in the cervix, and additionally, E-cadherin represents different polarization properties on these different cells. Therefore, we established 3-D models to better understand the functions of FLCN. We discovered that FLCN was critical for N. gonorrhoeae survival in the 3-D environment as well, but not through inhibiting autophagy. Furthermore, FLCN inhibits the E-cadherin expression and disturbs its polarization in the 3-D models. Since N. gonorrhoeae can cross the epithelial cell barriers through both cell-cell junctions and transcellular migration, we further explored the roles FLCN and E-cadherin played in transmigration. FLCN delayed N. gonorrhoeae transmigration, whereas the knockdown of E-cadherin increased N. gonorrhoeae transmigration.
In summary, we revealed roles of the NGFG_01605 and FLCN-E-cadherin axis play in N. gonorrhoeae infection, particularly in relation to intracellular survival and transmigration. This is also the first study that connects FLCN and human-specific pathogen infection.
The resolution of fluorescence light microscopy was long believed to be limited by the diffraction limit of light of around 200-250 nm described in 1873 by Ernst Abbe. Within the last decade, several approaches, such as structured illumination microscopy (SIM), stimulated emission depletion STED and (direct) stochastic optical reconstruction microscopy (d)STORM have been established to bypass the diffraction limit. However, such super-resolution techniques enabling a resolution <100 nm require specialized and expensive setups as well as expert knowledge in order to avoid artifacts. They are therefore limited to specialized laboratories. Recently, Boyden and colleagues introduced an alternate approach, termed expansion microscopy (ExM). The latter offers the possibility to perform superresolution microscopy on conventional confocal microscopes by embedding the sample into a swellable hydrogel that is isotropically expanded. Since its introduction in 2015, expansion microscopy has developed rapidly offering protocols for 4x, 10x and 20x expansion of proteins and RNA in cells, tissues and human clinical specimens.
Mitochondria are double membrane-bound organelles and crucial to the cell by performing numerous tasks, from ATP production through oxidative phosphorylation, production of many important metabolites, cell signaling to the regulation of apoptosis. The inner mitochondrial membrane is strongly folded forming so-called cristae. Besides being the location of the oxidative phosphorylation and therefore energy conversion and ATP production, cristae have been of great interest because changes in morphology have been linked to a plethora of diseases from cancer, diabetes, neurodegenerative diseases, to aging and infection. However, cristae imaging remains challenging as the distance between two individual cristae is often below 100 nm. Within this work, we demonstrate that the mitochondrial creatine kinase MtCK linked to fluorescent protein GFP (MtCK-GFP) can be used as a cristae marker. Upon fourfold expansion, we illustrate that our novel marker enables visualization of cristae morphology and localization of mitochondrial proteins relative to cristae without the need for specialized setups. Furthermore, we show the applicability of expansion microscopy for several bacterial pathogens, such as Chlamydia trachomatis, Simkania negevensis, Neisseria gonorrhoeae and Staphylococcus aureus. Due to differences in bacterial cell walls, we reveal important aspects for the digestion of pathogens for isotropic expansion. We further show that expansion of the intracellular pathogens C. trachomatis and S. negevensis, enables the differentiation between the two distinct developmental forms, catabolic active reticulate bodies (RB) and infectious elementary bodies (EB), on a conventional confocal microscope. We demonstrate the possibility to precisely locate chlamydial effector proteins, such as CPAF or Cdu1, within and outside the chlamydial inclusion. Moreover, we show that expansion microscopy enables the investigation of bacteria, herein S. aureus, within LAMP1 and LC3-II vesicles. With the introduction of the unnatural α-NH2-ω-N3-C6-ceramide, we further present the first approach for the expansion of lipids that may also be suitable for far inaccessible molecule classes like carbohydrates. The efficient accumulation and high labeling density of our functionalized α-NH2-ω-N3-C6-ceramide in both cells and bacteria enables in combination with tenfold expansion nanoscale resolution (10-20 nm) of the interaction of proteins with the plasma membrane, membrane of organelles and bacteria. Ceramide is the central molecule of the sphingolipid metabolism, an important constituent of cellular membranes and regulates many important cellular processes such as differentiation, proliferation and apoptosis. Many studies report about the importance of sphingolipids during infection of various pathogens. While the transport of ceramide to Chlamydia has been reported earlier, one of the unanswered questions remaining was if ceramide forms parts of the outer or inner bacterial membrane. Expansion of α-NH2-ω-N3-C6-ceramide enabled the visualization of ceramide in the inner and outer membrane of C. trachomatis and their distance was determined to be 27.6 ± 7.7 nm.
The HIV-1 Vif protein is essential for viral fitness and pathogenicity. Vif decreases expression of cellular restriction factors APOBEC3G (A3G), A3F, A3D and A3H, which inhibit HIV-1 replication by inducing hypermutation during reverse transcription. Vif counteracts A3G at several levels (transcription, translation, and protein degradation) that altogether reduce the levels of A3G in cells and prevent its incorporation into viral particles. How Vif affects A3G translation remains unclear. Here, we uncovered the importance of a short conserved uORF (upstream ORF) located within two critical stem-loop structures of the 5′ untranslated region (5′-UTR) of A3G mRNA for this process. A3G translation occurs through a combination of leaky scanning and translation re-initiation and the presence of an intact uORF decreases the extent of global A3G translation under normal conditions. Interestingly, the uORF is also absolutely required for Vif-mediated translation inhibition and redirection of A3G mRNA into stress granules. Overall, we discovered that A3G translation is regulated by a small uORF conserved in the human population and that Vif uses this specific feature to repress its translation.
According to the “canonical” paradigm of GPCR signaling, agonist-bound GPCRs only signal to the downstream adenylyl cyclase enzyme when they are seated at the plasma membrane. Upon prolonged binding of an agonist, receptor internalization usually takes place, leading to the termination of this downstream signaling pathway and activation of alternative ones. However, a set of recent studies have shown that at least some GPCRs (e.g. thyroid stimulating hormone receptor) continue signaling to adenylyl cyclase after internalization. In this study, I aimed to investigate canonical signaling by internalized μ opioid receptors (MORs), which are Gi-coupled receptors, using a fluorescence resonance energy transfer (FRET) sensor for cyclic AMP (cAMP) known as Epac1-camps. My results show that the cyclic AMP inhibition signal induced by the binding of DAMGO, a MOR agonist, persists after agonist washout. We hypothesized that this persistent signal might come from internalized DAMGO-bound receptors located in the endosomal compartment. To test this hypothesis, I used dynasore and Dyngo 4a, two dynamin inhibitors that are known to prevent clathrin-mediated endocytosis. Interestingly, dynasore but not Dyngo 4a pretreatment largely blunted the response to MOR activation as well as to adenylyl cyclase activation with Forskolin (FSK). In addition, DAMGO-induced cAMP signal remained persistent even in the presence of 30 M Dyngo 4a. These results might point to a complex interplay between clathrin-mediated internalization and MOR signaling. Further experiments are required to elucidate the mechanisms underlying the persistent MOR signaling and to fully clarify whether MORs are capable of Gi signaling in the endosomal compartment.
The importance of understanding species extinctions and its consequences for ecosystems and human life has been getting increasing public attention.
Nonetheless, regardless of how pressing the current biodiversity loss is, with rare exceptions, extinctions are actually not immediate.
Rather, they happen many generations after the disturbance that caused them.
This means that, at any point in time after a given disturbance, there is a number of extinctions that are expected to happen.
This number is the extinction debt.
As long as all the extinctions triggered by the disturbance have not happened, there is a debt to be paid.
This delay in extinctions can be interpreted as a window of opportunity, when conservation measures can be implemented.
In this thesis, I investigated the relative importance of ecological and evolutionary processes unfolding after different disturbances scenarios, to understand how this knowledge can be used to improve conservation practices aiming at controlling extinctions.
In the Introduction (chapter 1), I present the concept of extinction debts and the complicating factors behind its understanding.
Namely, I start by presenting i) the theoretical basis behind the definition of extinction debts, and how each theory informed different methodologies of study, ii) the complexity of understanding and predicting eco-evolutionary dynamics, and iii) the challenges to studying extinctions under a regime of widespread and varied disturbance of natural habitats.
I start the main body of the thesis (chapter 2) by summarizing the current state of empirical, theoretical, and methodological research on extinction debts.
In the last 10 years, extinction debts were detected all over the globe, for a variety of ecosystems and taxonomic groups.
When estimated - a rare occurrence, since quantifying debts requires often unavailable data - the sizes of these debts range from 9 to 90\% of current species richness and they have been sustained for periods ranging from 5 to 570 yr.
I identified two processes whose contributions to extinction debts have been studied more often, namely 1) life-history traits that prolong individual survival, and 2) population and metapopulation dynamics that maintain populations under deteriorated conditions.
Less studied are the microevolutionary dynamics happening during the payment of a debt, the delayed conjoint extinctions of interaction partners, and the extinction dynamics under different regimes of disturbances (e.g. habitat loss vs. climate change).
Based on these observations, I proposed a roadmap for future research to focus on these less studies aspects.
In chapters 3 and 4, I started to follow this roadmap.
In chapter 3, I used a genomically-explicit, individual-based model of a plant community to study the microevolutionary processes happening after habitat loss and climate change, and potentially contributing to the settlement of a debt.
I showed that population demographic recovery through trait adaptation, i.e. evolutionary rescue, is possible.
In these cases, rather than directional selection, trait change involved increase in trait variation, which I interpreted as a sign of disruptive selection.
Moreover, I disentangled evolutionary rescue from demographic rescue and show that the two types of rescue were equally important for community resistance, indicating that community re-assembly plays an important role in maintaining diversity following disturbance.
The results demonstrated the importance of accounting for eco-evolutionary processes at the community level to understand and predict biodiversity change.
Furthermore, they indicate that evolutionary rescue has a limited potential to avoid extinctions under scenarios of habitat loss and climate change.
In chapter 4, I analysed the effects of habitat loss and disruption of pollination function on the extinction dynamics of plant communities.
To do it, I used an individual, trait-based eco-evolutionary model (Extinction Dynamics Model, EDM) parameterized according to real-world species of calcareous grasslands.
Specifically, I compared the effects of these disturbances on the magnitude of extinction debts and species extinction times, as well as how species functional traits affect species survival.
I showed that the loss of habitat area generates higher number of immediate extinctions, but the loss of pollination generates higher extinction debt, as species take longer to go extinct.
Moreover, reproductive traits (clonal ability, absence of selfing and insect pollination) were the traits that most influenced the occurrence of species extinction as payment of the debt.
Thus, the disruption of pollination functions arose as a major factor in the creation of extinction debts.
Thus, restoration policies should aim at monitoring the status of this and other ecological processes and functions in undisturbed systems, to inform its re-establishment in disturbed areas.
Finally, I discuss the implications of these findings to i) the theoretical understanding of extinction debts, notably via the niche, coexistence, and metabolic theories, ii) the planning conservation measures, including communicating the very notion of extinction debts to improve understanding of the dimension of the current biodiversity crisis, and iii) future research, which must improve the understanding of the interplay between extinction cascades and extinction debts.
Potential evolutionary responses to landscape heterogeneity and systematic environmental trends
(2020)
Over the course of the last century, humans have witnessed drastic levels of global environmental change that endangered both, the survival of single species as well as biodiversity itself. This includes climate change, in both environmental means and in variance and subsequently frequent extreme weather events, as well as land use change that species have to cope with.
With increasing urbanization, increasing agricultural area and increasing intensification, natural habitat is not only lost, but also changes its shape and distribution in the landscape. Both aspects can heavily influence an individual's fitness and therefore act as a selective force promoting evolutionary change.
This way climate change influences individuals' niches and dispersal. Local adaptation and dispersal are not independent of each other. Dispersal can have two opposite effects on local adaptation. It can oppose local adaptation, by promoting the immigration of maladapted indi-
viduals or favor local adaptation by introducing better adapted genotypes. Which of those effects of dispersal on local adaptation emerges in a population depends on the dispersal strategies and the spatial structure of the landscape. In principle an adaptive response can include adjustment of the niche optimum as well as habitat tolerance (niche width) or (instead) ecological tracking of adequate conditions by dispersal and range shifting. So
far, there has been no extensive modeling study of the evolution of the environmental niche optimum and tolerance along with dispersal probability in complex landscapes. Either only dispersal or (part of ) the environmental niche can evolve or the landscapes used are not realistic but rather a very abstract representation of spatial structures.
I want to try and disentangle those different effects of both local adaptation and dispersal during global change, as well as their interaction, especially considering the separation between the effects of increasing mean and increasing variance. For this, I implemented an individual based model (IBM), with escalating complexity.
I showed that both on a temporal as well as on a spatial scale, variation can be more influential then mean conditions.
Indeed, the actual spatial configuration of this heterogeneity and the relationship between spatial and temporal heterogeneity affect the evolution of the niche and of dispersal probability more than temporal or spatial mean conditions. I could show that in isolated populations, an increase of an environmental attribute's mean or variance can lead to extinction, under certain conditions. In particular, increasing variance cannot be tracked forever, since increasing tolerance has distinct limits of feasibility. Increasing mean conditions can also occur too fast to be tracked, especially from generalist individuals. When expanding the model to the metapopulation level without a temporal environmental trend, the degree of spatial vs.temporal heterogeneity influenced the evolution of random dispersal heavily. With increasing spatial heterogeneity, individuals from extreme and rare patches
evolve from being philopatric to dispersive, while individuals from average patches switch in the opposite direction.
With the last expansion to a different set of landscapes with varying degrees of edge density, I could show that edge effects are strong in pseudo-agricultural landscapes, while
in pseudo-natural habitats they were hardly found, regardless of emigration strategy. Sharp edges select against dispersal in the edge patches and could potentially further isolate populations in agricultural landscapes.
The work I present here can also be expanded further and I present several suggestions on what to do next. These expansions could help the realism of the model and eventually shed light on its bearing on ecological global change predictions. For example species distribution models or extinction risk models would be more precise, if they included both spatial and temporal variation. The current modeling practices might not be suffcient to
describe the possible outcomes of global change, because spatio-temporal heterogeneity and its influence on species' niches is too important to be ignored for longer.
Chlamydia trachomatis (Ct) is an obligate intracellular human pathogen. It causes blinding trachoma and sexually transmitted disease such as chlamydia, pelvic inflammatory disease and lymphogranuloma venereum. Ct has a unique biphasic development cycle and replicates in an intracellular vacuole called inclusion. Normally it has two forms: the infectious form, elementary body (EB); and the non-infectious form, reticulate body (RB). Ct is not easily amenable to genetic manipulation. Hence, to understand the infection process, it is crucial to study how the metabolic activity of Ct exactly evolves in the host cell and what roles of EB and RB play differentially in Ct metabolism during infection. In addition, Ct was found regularly coinfected with other pathogens in patients who got sexually transmitted diseases (STDs). A lack of powerful methods to culture Ct outside of the host cell makes the detailed molecular mechanisms of coinfection difficult to study.
In this work, a genome-scale metabolic model with 321 metabolites and 277 reactions was first reconstructed by me to study Ct metabolic adaptation in the host cell during infection. This model was calculated to yield 84 extreme pathways, and metabolic flux strength was then modelled regarding 20hpi, 40hpi and later based on a published proteomics dataset. Activities of key enzymes involved in target pathways were further validated by RT-qPCR in both HeLa229 and HUVEC cell lines. This study suggests that Ct's major active pathways involve glycolysis, gluconeogenesis, glycerolphospholipid biosynthesis and pentose phosphate pathway, while Ct's incomplete tricarboxylic acid cycle and fatty acid biosynthesis are less active. EB is more activated in almost all these carbohydrate pathways than RB. Result suggests the survival of Ct generally requires a lot of acetyl-CoA from the host. Besides, both EB and RB can utilize folate biosynthesis to generate NAD(P)H but may use different pathways depending on the demands of ATP. When more ATP is available from both host cell and Ct itself, RB is more activated by utilizing energy providing chemicals generated by enzymes associated in the nucleic acid metabolism. The forming of folate also suggests large glutamate consumption, which is supposed to be converted from glutamine by the glutamine-fructose-6-phosphate transaminase (glmS) and CTP synthase (pyrG).
Then, RNA sequencing (RNA-seq) data analysis was performed by me in a coinfection study. Metatranscriptome from patient RNA-seq data provides a realistic overview. Thirteen patient samples were collected and sequenced by our collaborators. Six male samples were obtained by urethral swab, and seven female samples were collected by cervicovaginal lavage. All the samples were Neisseria gonorrhoeae (GC) positive, and half of them had coinfection with Ct. HISAT2 and Stringtie were used for transcriptomic mapping and assembly respectively, and differential expression analysis by DESeq2, Ballgown and Cuffdiff2 are parallelly processed for comparison. Although the measured transcripts were not sufficient to assemble Ct's transcriptome, the differential expression of genes in both the host and GC were analyzed by comparing Ct positive group (Ct+) against Ct-uninfected group. The results show that in the Ct+ group, the host MHC class II immune response was highly induced. Ct infection is associated with the regulation of DNA methylation, DNA double-strand damage and ubiquitination. The analysis also shows Ct infection enhances host fatty acid beta oxidation, thereby inducing mROS, and the host responds to reduce ceramide production and glycolysis. The coinfection upregulates GC's own ion transporters and amino acid uptake, while it downregulates GC's restriction and modification systems. Meanwhile, GC has the nitrosative and oxidative stress response and also increases the ability for ferric uptake especially in the Ct+ group compared to Ct-uninfected group.
In conclusion, methods in bioinformatics were used here in analyzing the metabolism of Ct itself, and the responses of the host and GC respectively in a coinfection study with and without Ct. These methods provide metabolic and metatranscriptomic details to study Ct metabolism during infection and Ct associated coinfection in the human microbiota.
Comparative analysis of insect circadian clocks: a behavioural, anatomical, and molecular study
(2020)
Biological clocks are endogenous oscillators that give organisms the sense of time. Insects, as the largest taxonomic group, offer fascinating models to study the evolution of clocks and their adaptation to various environments. Although the laboratory fruit fly, Drosophila melanogaster, led the role in the field of circadian biology as it provides a powerful genetic experimental tool, new model insect species need to be established to understand photoperiodic responses and to enable comparative studies. This work reports the behavioural, anatomical, and molecular characterization of the circadian clock of five insect species. The malt fly Chymomyza costata carries a D. melanogaster-like clock network, which supports circadian rhythms under rhythmic environment but cannot self-sustain when isolated from external time cues. The olive fly Bactrocera oleae is the major pest of olive plantations and the characterization of its circadian clock will improve future pest management strategies. The linden bug Pyrrhocoris apterus, a well suited model for investigating circadian and photoperiodic timing interactions, shows high degree of homology of the clock network with D. melanogaster. The scuttle flies Megaselia scalaris and Megaselia abdita represent new fascinating models to study how the clock network controls circadian behaviour. Overall, this work highlights high degree of homology between different circadian clock systems, but at the same time also dramatic differences in terms of circadian behaviour and neuro-anatomical expression of clock components. These have been mainly discussed in regards to the evolution of clocks in Diptera, and the adaptation of clocks to high latitudes.
Merkel cell carcinoma (MCC) is a rare and aggressive skin cancer. In approximately 80% of cases, genomic integration of the Merkel cell polyomavirus (MCPyV) is observed and overexpression of the two MCPyV T antigens (TAgs) is regarded as the main oncogenic determinant of MCPyV-positive MCC cases. However, the nature of the cells from which MCC arises is unknown. Therefore, the goal of the present work was to determine the cell of origin of MCC.
First, we characterized MCC patients’ tumors and demonstrated a high similarity of MCPyV- negative MCC with extracutaneous neuroendocrine carcinoma while MCPyV-positive MCC differs from these two groups with respect to morphology, immunohistochemical profile, genetics, origin and behavior. Based on the analysis of a trichoblastoma/MCC combined tumor, we demonstrated that a MCPyV-positive MCC can arise following MCPyV integration in an epithelial cell. In addition, the high similarity between trichoblastoma cells and Merkel cell (MC) progenitors of the hair follicle suggests that these hair follicle cells may represent a general start point for the development of MCPyV-positive MCC. A contribution of the viral TAgs to the development of the characteristic Merkel cell-like MCC phenotype is suggested by experiments demonstrating induction of Merkel cell markers upon TAg expression in human primary keratinocytes or hair follicle cells. As potential mechanisms mediating these phenotypic changes, we identified the capability of MCPyV LT to repress degradation of master regulator of MC development, i.e. the transcription factor ATOH1.
To conclude, our work suggests that MCPyV integration in epithelial cells of the hair follicle may represent an important path for MCC development.
L-type calcium channels (LTCCs) control crucial physiological processes in cardiomyocytes such as the duration and amplitude of action potentials, excitation-contraction coupling and gene expression, by regulating the entry of Ca2+ into the cells. Cardiac LTCCs consist of one pore-forming α1 subunit and the accessory subunits Cavβ, Cavα2δ and Cavγ. Of these auxiliary subunits, Cavβ is the most important regulator of the channel activity; however, it can also have LTCC-independent cellular regulatory functions. Therefore, changes in the expression of Cavβ can lead not only to a dysregulation of LTCC activity, but also to changes in other cellular functions. Cardiac hypertrophy is one of the most relevant risk factors for congestive heart failure and depends on the activation of calcium-dependent prohypertrophic signaling pathways. However, the role of LTCCs and especially Cavβ in this pathology is controversial and needs to be further elucidated.
Of the four Cavβ isoforms, Cavβ2 is the predominant one in cardiomyocytes. Moreover, there are five different splice variants of Cavβ2 (Cavβ2a-e), differing only in the N-terminal region. We reported that Cavβ2b is the predominant variant expressed in the heart. We also revealed that a pool of Cavβ2 is targeted to the nucleus in cardiomyocytes. The expression of the nuclear Cavβ2 decreases during in vitro and in vivo induction of cardiomyocyte hypertrophy and overexpression of a nucleus-targeted Cavβ2 completely abolishes the in vitro induced hypertrophy. Additionally, we demonstrated by shRNA-mediated protein knockdown that downregulation of Cavβ2 enhances the hypertrophy induced by the α1-adrenergic agonist phenylephrine (PE) without involvement of LTCC activity. These results suggest that Cavβ2 can regulate cardiac hypertrophy through LTCC-independent pathways. To further validate the role of the nuclear Cavβ2, we performed quantitative proteome analyses of Cavβ2-deficient neonatal rat cardiomyocytes (NRCs). The results show that downregulation of Cavβ2 influences the expression of various proteins, including a decrease of calpastatin, an inhibitor of the calcium-dependent cysteine protease calpain. Moreover, downregulation of Cavβ2 during cardiomyocyte hypertrophy drastically increases calpain activity as compared to controls after treatment with PE. Finally, the inhibition of calpain by calpeptin abolishes the increase in PE-induced hypertrophy in Cavβ2-deficient cells. These results suggest that nuclear Cavβ2 has Ca2+- and LTCC-independent functions during the development of hypertrophy. Overall, our results indicate a new role for Cavβ2 in antihypertrophic signaling in cardiac hypertrophy.
Besides a growing tendency for delayed parenthood, sedentary lifestyle coupled with overnutrition has dramatically increased worldwide over the last few decades. Epigenetic mechanisms can help us understand the epidemics and heritability of complex traits like obesity to a significant extent. Majority of the research till now has focused on determining the impact of maternal factors on health and disease risk in the offspring(s).
This doctoral thesis is focused on deciphering the potential effects of male aging and obesity on sperm methylome, and consequences/transmission via germline to the next generation. In humans, this was assessed in a unique cohort of ~300 sperm samples, collected after in vitro fertilization/intracytoplasmic sperm injection, as well as in conceived fetal cord blood samples of the children. Furthermore, aging effect on sperm samples derived from a bovine cohort was analyzed.
The study identified that human male aging significantly increased the DNA methylation levels of the promoter, the upstream core element, the 18S, and the 28S regions of ribosomal DNA (rDNA) in sperm. Prediction models were developed to anticipate an individual’s age based on the methylation status of rDNA regions in his sperm. Hypermethylation of alpha satellite and LINE1 repeats in human sperm was also observed with aging. Epimutations, which are aberrantly methylated CpG sites, were significantly higher in sperm of older males compared to the younger ones. These effects on the male germline had a negative impact on embryo quality of the next generation. Consistent with these results, DNA methylation of rDNA regions, bovine alpha satellite, and testis satellite repeats displayed a significant positive correlation with aging sperm samples within the same individual and across different age-grouped bulls.
A positive association between human male obesity/body mass index (BMI) and DNA methylation of the imprinted MEG3 gene and the obesity-related HIF3A gene was detected in sperm. These BMI-induced sperm DNA methylation signatures were transmitted to next generation fetal cord blood (FCB) samples in a gender-specific manner. Males, but not female offsprings exhibited a significant positive correlation between father’s BMI and FCB DNA methylation in the two above-mentioned amplicons. Additionally, hypomethylation of IGF2 with increased paternal BMI was observed in female FCB samples. Parental allele-specific in-depth methylation analysis of imprinted genes using next generation sequencing technology also revealed significant correlations between paternal factors like age and BMI, and the corresponding father’s allele DNA methylation in FCB samples.
Deep bisulphite sequencing of imprinted genes in diploid somatic cord blood cells of offspring detected that the levels of DNA methylation signatures largely depended on the underlying genetic variant, i.e. sequence haplotypes. Allele-specific epimutations were observed in PEG1, PEG5, MEG3, H19, and IGF2 amplicons. For the former three genes, the non-imprinted unmethylated allele displayed more epimutations than the imprinted methylated allele. On the other hand, for the latter two genes, the imprinted allele exhibited higher epimutation rate than that of the non-imprinted allele.
In summary, the present study proved that male aging and obesity impacts the DNA methylome of repetitive elements and imprinted genes respectively in sperm, and also has considerable consequences on the next generation. Nevertheless, longitudinal follow-up studies are highly encouraged to elucidate if these effects can influence the risk of developing abnormal phenotype in the offspring during adulthood.