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Age related macular degeneration (AMD) is the leading cause of visual impairment in the elderly and the major cause of blindness in the developed world. To date, the molecular mechanisms underlying the disease are not well understood although in recent years a primary involvement of the retinal pigment epithelium (RPE) has become evident. The aim of the present study is to systematically analyse genes which are differentially expressed in the RPE, and to assess their possible association with mechanisms and pathways likely to be related to retinal disease, in particular AMD. Towards this goal, 2379 expressed sequence tags (ESTs) were established from an inhouse generated RPE cDNA library. This library was constructed by using the suppression subtraction hybridization (SSH) technique which normalises redundant sequences and ensures enrichment of rare transcripts. In a first phase, 1002 ESTs were sequenced and subjected to comprehensive alignment with public nucleotide and protein databases. A search of the 1002 ESTs against the human genome draft sequence yielded 168 known genes, 51 predicted genes, 15 unknown transcripts and 41 clones with no significant similarity. Reverse Northern blot hybridization was performed for 318 EST clusters to identify abundantly expressed genes in the RPE and to prioritize subsequent analyses. Representative clones were spotted onto a nylon membrane and hybridized with cDNA probes of driver (heart and liver) and tester (RPE) used in the cDNA library construction. Subsequently, 107 EST clusters were subjected to Northern blot hybridizations. These analyses identified 7 RPE-specific, 3 retina-specific, 7 RPE/retina-specific, and 7 tissue restricted transcripts, while 29 EST clusters were ubiquitously expressed, and evaluation was not possible for another 54 EST clusters. Of the 24 transcripts with specific or restricted expression, 16 clones were selected for further characterization. The predicted gene MGC2477 and 2 novel isoforms of the human transient receptor potential cation channel, subfamily M, member 3 (TRPM3) were cloned and further described in detail. In addition, polymorphic variations for these 2 genes as well as for the human MT-Protocadherin gene were determined. For MGC2477, 15 single nucleotide polymorphisms (SNPs) were identified, with 13 having a frequency of the minor allele greater than 20%. 10 of the 15 SNPs have not been reported in so far in public SNP repertoires. Partial assessment of the TRPM3 gene yielded 35 SNPs. Of these, 30 (85.7%) were highly frequent (0.17-0.5%), and 14 (40%) were novel. The MT-Protocadherin gene revealed 35 SNPs, including 28 (80%) with high frequency of the minor allele. 23 (65.7%) were novel SNPs. These SNPs will be used to construct the most common haplotypes. These will be used in case/control association studies in 400 AMD patients and 200 ethnically and aged matched controls to assess a possible contribution of these genes in the etiology of AMD.
We examined the regulation of NFATc1 in different lymphomas and observed an inversed correlation between the methylation status and expression of NFATc1. Our data demonstrate that aberrant DNA methylation associated with chromatin remodeling within nfatc1 locus is a major mechanism for the repression of NFATc1 expression, suggesting that the DNA methylation-mediated transcriptional silencing of NFATc1 may be a critical event in the tumorogenesis of ALCLs and cHLs. Furthermore, the DNA methylation of human nfatc1 promoter region could be used as a novel biomarker of tumor progression. Our results indicate a close link between the loss of immunoreceptor signaling and NFATc1 expression in human lymphomas. For both ALCLs and cHLs, defects in immunoreceptor signaling have been described which result in a loss of receptor-mediated gene expression programs (Schwering et al., 2003; Bonzheim et al., 2004; Marafioti et al., 2004). In T cells, one indicator gene of these programs appears to be the nfatc1 gene whose expression is controlled by TCR signals (Chuvpilo et al., 2002a). In contrast, in T cells NFATc1 expression is unaffected by TCR signals, and NFATc2 was found to be expressed at normal levels in ALCLs and cHLs (L.K., unpubl. data). Moreover, the activity of NF-kappaB factors which can bind to certain NFAT binding sites and share a distantly-related DNA binding domain with NFATs is strongly elevated in cHL cells (Bargou et al., 1997; Hinz et al., 2001; Hinz et al., 2002) suggesting that NFATs and NF-kappaBs exert very different effects on generation and maintenance of Hodgkin’s lymhomas. However, it should be mentioned that in Burkitt’s and further B cell lymphomas in which NFATc1 proteins are strongly expressed and controlled by receptor signals (Kondo et al., 2003), they could exert a promoting function in tumor development. The genes of p53 family members p63 and p73 are prominent examples for mammalian genes whose products can act both as oncoproteins and tumor suppressor genes (Hibi et al., 2000; Stiewe and Putzer, 2002), and it is likely that more genes exist which encode both tumor suppressors and oncoproteins. It remains to be shown whether the nfatc1 gene is one of them.
Melanoma arises from the malignant transformation of melanocytes and is one of the most aggressive forms of human cancer. In fish of the genus Xiphophorus, melanoma development, although very rarely, happens spontaneously in nature and can be induced by interspecific crossing. The oncogenic receptor tyrosine kinase, Xmrk, is responsible for melanoma formation in these fishes. Since Xiphophorus are live-bearing fishes and therefore not compatible with embryonic manipulation and transgenesis, the Xmrk melanoma model was brought to the medaka (Oryzias latipes) system. Xmrk expression under the control of the pigment cell specific mitf promoter leads to melanoma formation with 100% penetrance in medaka. Xmrk is an orthologue of the human epidermal growth factor receptor (EGFR) and activates several downstream signaling pathways. Examples of these pathways are the direct phosphorylation of BRAF and Stat5, as well as the enhanced transcription of C-myc. BRAF is a serine-threonine kinase which is found mutated at high frequencies in malignant melanomas. Stat5 is a transcription factor known to be constitutively activated in fish melanoma. C-myc is a transcription factor that is thought to regulate the expression of approximately 15% of all human genes and is involved in cancer progression of a large number of different tumors. To gain new in vivo information on candidate factors known to be involved in melanoma progression, I identified and analysed BRAF, Stat5 and C-myc in the laboratory fish model system medaka. BRAF protein motifs are highly conserved among vertebrates and the results of this work indicate that its function in the MAPK signaling is maintained in medaka. Transgenic medaka lines carrying a constitutive active version of BRAF (V614E) showed more pigmented skin when compared to wild type. Also, some transiently expressing BRAF V614E fishes showed a disrupted eye phenotype. In addition, I was able to identify two Stat5 copies in medaka, named Stat5ab/a and Stat5ab/b. Sequence analysis revealed a higher similarity between both Stat5 sequences when compared to either human Stat5a or Stat5b. This suggests that the two Stat5 copies in medaka arose by an independent duplication processes. I cloned these two Stat5 present in medaka, produced constitutive active and dominant negative gene versions and successfully established transgenic lines carrying each version under the control of the MITF promoter. These lines will help to elucidate questions that are still remaining in Stat5 biology and its function in melanoma progression, like the role of Stat5 phosphorylation on tumor invasiveness. In a third project during my PhD work, I analysed medaka C-myc function and indentified two copies of this gene in medaka, named c-myc17 and c-myc20, according to the chromosome where they are located. I produced conditional transgenic medaka lines carrying the c-myc17 gene coupled to the hormone binding domain of the estrogen receptor to enable specific transgene activation at a given time point. Comparable to human C-myc, medaka C-myc17 is able to induce proliferation and apoptosis in vivo after induction. Besides that, C-myc17 long-term activation led to liver hyperplasia. In summary, the medaka models generated in this work will be important to bring new in vivo information on genes involved in cancer development. Also, the generated transgenic lines can be easily crossed to the melanoma developing Xmrk medaka lines, thereby opening up the possibility to investigate their function in melanoma progression. Besides that, the generated medaka fishes make it possible to follow the whole development of melanocytes, since the embryos are transparent and can be used for high throughput chemical screens.
Effects of dopamine on BDNF / TrkB mediated signaling and plasticity on cortico-striatal synapses
(2021)
Progressive loss of voluntary movement control is the central symptom of Parkinson's disease (PD). Even today, we are not yet able to cure PD. This is mainly due to a lack of understanding the mechanisms of movement control, network activity and plasticity in motor circuits, in particular between the cerebral cortex and the striatum. Brain-derived neurotrophic factor (BDNF) has emerged as one of the most important factors for the development and survival of neurons, as well as for synaptic plasticity. It is thus an important target for the development of new therapeutic strategies against neurodegenerative diseases. Together with its receptor, the Tropomyosin receptor kinase B (TrkB), it is critically involved in development and function of the striatum. Nevertheless, little is known about the localization of BDNF within presynaptic terminals in the striatum, as well as the types of neurons that produce BDNF in the cerebral cortex. Furthermore, the influence of midbrain derived dopamine on the control of BDNF / TrkB interaction in striatal medium spiny neurons (MSNs) remains elusive so far. Dopamine, however, appears to play an important role, as its absence leads to drastic changes in striatal synaptic plasticity. This suggests that dopamine could regulate synaptic activity in the striatum via modulation of BDNF / TrkB function. To answer these questions, we have developed a sensitive and reliable protocol for the immunohistochemical detection of endogenous BDNF. We find that the majority of striatal BDNF is provided by glutamatergic, cortex derived afferents and not dopaminergic inputs from the midbrain. In fact, we found BDNF in cell bodies of neurons in layers II-III and V of the primary and secondary motor cortex as well as layer V of the somatosensory cortex. These are the brain areas that send dense projections to the dorsolateral striatum for control of voluntary movement. Furthermore, we could show that these projection neurons significantly downregulate the expression of BDNF during the juvenile development of mice between 3 and 12 weeks.
In parallel, we found a modulatory effect of dopamine on the translocation of TrkB to the cell surface in postsynaptic striatal Medium Spiny Neurons (MSNs). In MSNs of the direct pathway (dMSNs), which express dopamine receptor 1 (DRD1), we observed the formation of TrkB aggregates in the 6-hydroxydopamine (6-OHDA) model of PD. This suggests that DRD1 activity controls TrkB surface expression in these neurons. In contrast, we found that DRD2 activation has opposite effects in MSNs of the indirect pathway (iMSNs). Activation of DRD2 promotes a rapid decrease in TrkB surface expression which was reversible and depended on cAMP. In parallel, stimulation of DRD2 led to induction of phospho-TrkB (pTrkB). This effect was significantly slower than the effect on TrkB surface expression and indicates that TrkB is transactivated by DRD2. Together, our data provide evidence that dopamine triggers dual modes of plasticity on striatal MSNs by acting on TrkB surface expression in DRD1 and DRD2 expressing MSNs. This surface expression of the receptor is crucial for the binding of BDNF, which is released from corticostriatal afferents. This leads to the induction of TrkB-mediated downstream signal transduction cascades and long-term potentiation (LTP). Therefore, the dopamine-mediated translocation of TrkB could be a mediator that modulates the balance between dopaminergic and glutamatergic signaling to allow synaptic plasticity in a spatiotemporal manner. This information and the fact that TrkB is segregated to persistent aggregates in PD could help to improve our understanding of voluntary movement control and to develop new therapeutic strategies beyond those focusing on dopaminergic supply.
New experimental methods have drastically accelerated the pace and quantity at which biological data is generated. High-throughput DNA sequencing is one of the pivotal new technologies. It offers a number of novel applications in various fields of biology, including ecology, evolution, and genomics. However, together with those opportunities many new challenges arise. Specialized algorithms and software are required to cope with the amount of data, often requiring substantial training in bioinformatic methods. Another way to make those data accessible to non-bioinformaticians is the development of programs with intuitive user interfaces.
In my thesis I developed analyses and programs to tackle current problems with high-throughput data in biology. In the field of ecology this covers the establishment of the bioinformatic workflow for pollen DNA meta-barcoding. Furthermore, I developed an application that facilitates the analysis of ecological communities in the context of their traits. Information from multiple public databases have been aggregated and can now be mapped automatically to existing community tables for interactive inspection. In evolution the new data are used to reconstruct phylogenetic trees from multiple genes. I developed the tool bcgTree to automate this process for bacteria. Many plant genomes have been sequenced in current years. Sequencing reads of those projects also contain data from the chloroplasts. The tool chloroExtractor supports the targeted extraction and analysis of the chloroplast genome. To compare the structure of multiple genomes specialized software is required for calculation and visualization of the relationships. I developed AliTV to address this. In contrast to existing programs for this task it allows interactive adjustments of produced graphics. Thus, facilitating the discovery of biologically relevant information. Another application I developed helps to analyze transcriptomes even if no reference genome is present. This is achieved by aggregating the different pieces of information, like functional annotation and expression level, for each transcript in a web platform. Scientists can then search, filter, subset, and visualize the transcriptome.
Together the methods and tools expedite insights into biological systems that were not possible before.
Understanding the causal relationship between genotype and phenotype is a major objective in biology. The main interest is in understanding trait architecture and identifying loci contributing to the respective traits. Genome-wide association mapping (GWAS) is one tool to elucidate these relationships and has been successfully used in many different species. However, most studies concentrate on marginal marker effects and ignore epistatic and gene-environment interactions. These interactions are problematic to account for, but are likely to make major contributions to many phenotypes that are not regulated by independent genetic effects, but by more sophisticated gene-regulatory networks. Further complication arises from the fact that these networks vary in different natural accessions. However, understanding the differences of gene regulatory networks and gene-gene interactions is crucial to conceive trait architecture and predict phenotypes.
The basic subject of this study – using data from the Arabidopsis 1001 Genomes Project – is the analysis of pre-mature stop codons. These have been incurred in nearly one-third of the ~ 30k genes. A gene-gene interaction network of the co-occurrence of stop codons has been built and the over and under representation of different pairs has been statistically analyzed. To further classify the significant over and under- represented gene-gene interactions in terms of molecular function of the encoded proteins, gene ontology terms (GO-SLIM) have been applied. Furthermore, co- expression analysis specifies gene clusters that co-occur over different genetic and phenotypic backgrounds. To link these patterns to evolutionary constrains, spatial location of the respective alleles have been analyzed as well. The latter shows clear patterns for certain gene pairs that indicate differential selection.
The human gut is home for thousands of microbes that are important for human life. As most of these cannot be cultivated, metagenomics is an important means to understand this important community. To perform comparative metagenomic analysis of the human gut microbiome, I have developed SMASH (Simple metagenomic analysis shell), a computational pipeline. SMASH can also be used to assemble and analyze single genomes, and has been successfully applied to the bacterium Mycoplasma pneumoniae and the fungus Chaetomium thermophilum. In the context of the MetaHIT (Metagenomics of the human intestinal tract) consortium our group is participating in, I used SMASH to validate the assembly and to estimate the assembly error rate of 576.7 Gb metagenome sequence obtained using Illumina Solexa technology from fecal DNA of 124 European individuals. I also estimated the completeness of the gene catalogue containing 3.3 million open reading frames obtained from these metagenomes. Finally, I used SMASH to analyze human gut metagenomes of 39 individuals from 6 countries encompassing a wide range of host properties such as age, body mass index and disease states. We find that the variation in the gut microbiome is not continuous but stratified into enterotypes. Enterotypes are complex host-microbial symbiotic states that are not explained by host properties, nutritional habits or possible technical biases. The concept of enterotypes might have far reaching implications, for example, to explain different responses to diet or drug intake. We also find several functional markers in the human gut microbiome that correlate with a number of host properties such as body mass index, highlighting the need for functional analysis and raising hopes for the application of microbial markers as diagnostic or even prognostic tools for microbiota-associated human disorders.
This thesis consists of three major chapters, each of which has been separately published or under the process for publication. The first chapter is about anatomical characterization of the mushroom body of adult Drosophila melanogaster. The mushroom body is the center for olfactory learning and many other functions in the insect brains. The functions of the mushroom body have been studied by utilizing the GAL4/UAS gene expression system. The present study characterized the expression patterns of the commonly used GAL4 drivers for the mushroom body intrinsic neurons, Kenyon cells. Thereby, we revealed the numerical composition of the different types of Kenyon cells and found one subtype of the Kenyon cells that have not been described. The second and third chapters together demonstrate that the multiple types of dopaminergic neurons mediate the aversive reinforcement signals to the mushroom body. They induce the parallel memory traces that constitute the different temporal domains of the aversive odor memory. In prior to these chapters, “General introduction and discussion” section reviews and discuss about the current understanding of neuronal circuit for olfactory learning in Drosophila.
The human pathogen Chlamydia trachomatis is the main cause of sexually transmitted infections worldwide. The obligate intracellular bacteria are the causative agent of several diseases that reach from conjunctivitis causing trachoma and blindness as well as salpingitis and urethritis which can lead to infertility if left untreated.
In order to gain genetically engineered Chlamydia that inducible knock down specific gene expression, the CRISPRi system was established in C. trachomatis. In a proof of principle experiment it was shown that C. trachomatis pCRISPRi:gCdu1III target ChlaDUB1 expression and reduce the protein amount up to 50 %. Knock-down of the DUB did not influence protein levels of anti-apoptotic Mcl-1 and did not make cells susceptible for apoptosis. However, reduced dCas9 protein size, bacterial growth impairment and off target effects interfering with the GFP signal, form obstacles in CRISPRi system in Chlamydia. For routinely use of the CRISPRi method in C. trachomatis further investigation is needed.
Since the bacterial life cycle includes two morphological and functional distinct forms, it is essential for chlamydial spread to complete the development cycle and form infectious progeny. Therefore, Chlamydia has evolved strategies to evade the host immune system in order to stay undetected throughout the developmental cycle. The bacteria prevent host cell apoptosis via stabilization of anti-apoptotic proteins like Mcl-1, Survivin and HIF-1α and activate pro-survival pathways, inhibiting invasion of immune cells to the site of infection. The host cell itself can destroy intruders via cell specific defense systems that involve autophagy and recruitment of professional immune cells. In this thesis the role of the chlamydial deubiuqitinase ChlaDUB1 upon immune evasion was elucidated. With the mutant strain Ctr Tn-cdu1 that encodes for a truncated DUB due to transposon insertion, it was possible to identify ChlaDUB1 as a potent opponent of the autophagic system. Mutant inclusions were targeted by K48 and K63 chain ubiquitination. Subsequently the inclusion was recognized by autophagic receptors like p62, NBR1 and NDP52 that was reversed again by complementation with the active DUB. Xenophagy was promoted so far as LC3 positive phagosomes formed around the inclusion of Ctr Tn-cdu1, which did not fuse with the lysosome. The detected growth defect in human primary cells of Chlamydia missing the active DUB was not traced back to autophagy, but was due to impaired development and replication. It was possible to identify Ankib1, the E3 ligase, that ubiquitinates the chlamydial inclusion in a siRNA based screen. The activating enzyme Ube1 and the conjugating enzyme Ube2L3 are also essential in this process. Chlamydia have a reduced genome and depend on lipids and nutrients that are translocated from the host cell to the inclusion to proliferate. Recruitment of fragmented Golgi stacks to the inclusion surface was prevented when ChlaDUB1 was inactive, probably causing diminished bacterial growth. Additionally, the modification of the inclusion by Ankib1 and subsequent decoration by autophagic markers was not only present in human but also murine cells. Comparison of other Chlamydia strains and species revealed Ankib1 to be located at the proximity of the inclusion in C. trachomatis strains only but not in C. muridarum or C. pneumoniae, indicating that Ankib1 is specifically the E3 ligase of C. trachomatis. Moreover, the role of ChlaDUB1 in infected tissue was of interest, since ChlaDUB1 protein was also found in early EB stage and so might get in contact with invading immune cells after cell lysis. While bacteria spread and infect new host cells, Chlamydia can also infect immune cells. Infection of human neutrophils with Ctr Tn-cdu1 shows less bacterial survival and affirms the importance of the DUB for bacterial fitness in these cells.
The interaction of synaptic proteins orchestrate the function of one of the most complex organs, the brain. The multitude of molecular elements influencing neurological correlations makes imaging processes complicated since conventional fluorescence microscopy methods are unable to resolve structures beyond the diffraction-limit.
The implementation of super-resolution fluorescence microscopy into the field of neuroscience allows the visualisation of the fine details of neural connectivity. The key element of my thesis is the super-resolution technique dSTORM (direct Stochastic Optical Reconstruction Microscopy) and its optimisation as a multi-colour approach. Capturing more than one target, I aim to unravel the distribution of synaptic proteins with nanometer precision and set them into a structural and quantitative context with one another. Therefore dSTORM specific protocols are optimized to serve the peculiarities of particular neural samples.
In one project the brain derived neurotrophic factor (BDNF) is investigated in primary, hippocampal neurons. With a precision beyond 15 nm, preand post-synaptic sites can be identified by staining the active zone proteins bassoon and homer. As a result, hallmarks of mature synapses can be exhibited. The single molecule sensitivity of dSTORM enables the measurement of endogenous BDNF and locates BDNF granules aligned with glutamatergic pre-synapses. This data proofs that hippocampal neurons are capable of enriching BDNF within the mature glutamatergic pre-synapse, possibly influencing synaptic plasticity.
The distribution of the metabotropic glutamate receptor mGlu4 is investigated in physiological brain slices enabling the analysis of the receptor in its natural environment. With dual-colour dSTORM, the spatial arrangement of the mGlu4 receptor in the pre-synaptic sites of parallel fibres in the molecular layer of the mouse cerebellum is visualized, as well as a four to six-fold increase in the density of the receptor in the active zone compared to the nearby environment. Prior functional measurements show that metabotropic glutamate receptors influence voltage-gated calcium channels and proteins that are involved in synaptic vesicle priming. Corresponding dSTORM data indeed suggests that a subset of the mGlu4 receptor is correlated with the voltage-gated calcium channel Cav2.1 on distances around 60 nm.
These results are based on the improvement of the direct analysis of localisation data. Tools like coordinated based correlation analysis and nearest neighbour analysis of clusters centroids are used complementary to map protein connections of the synapse. Limits and possible improvements of these tools are discussed to foster the quantitative analysis of single molecule localisation microscopy data.
Performing super-resolution microscopy on complex samples like brain slices benefits from a maximised field of view in combination with the visualisation of more than two targets to set the protein of interest in a cellular context. This challenge served as a motivation to establish a workflow for correlated structured illumination microscopy (SIM) and dSTORM. The development of the visualisation software coSIdSTORM promotes the combination of these powerful super-resolution techniques even on separated setups. As an example, synapses in the cerebellum that are affiliated to the parallel fibres and the dendrites of the Purkinje cells are identified by SIM and the protein bassoon of those pre-synapses is visualised threedimensionally with nanoscopic precision by dSTORM.
In this work I placed emphasis on the improvement of multi-colour super-resolution imaging and its analysing tools to enable the investigation of synaptic proteins. The unravelling of the structural arrangement of investigated proteins supports the building of a synapse model and therefore helps to understand the relation between structure and function in neural transmission processes.