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Institute
- Theodor-Boveri-Institut für Biowissenschaften (471) (remove)
Sonstige beteiligte Institutionen
- Institut für Tierökologie und Tropenbiologie (2)
- Boehringer Ingelheim Pharma GmbH & Co. KG (1)
- Deutsches Krebsforschungszentrum Heidelberg (1)
- ESPCI Paris (1)
- European Molecular Biology Laboratory, Heidelberg, Germany (1)
- Fachgebiet für Populationsgenomik bei Nutztieren, Universität Hohenheim (1)
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ResearcherID
- J-8841-2015 (1)
- N-2030-2015 (1)
EU-Project number / Contract (GA) number
- 311781 (1)
Fluorescence microscopy is a form of light microscopy that has developed during the 20th century and is nowadays a standard tool in Molecular and Cell biology for studying the structure and function of biological molecules. High-resolution fluorescence microscopy techniques, such as dSTORM (direct Stochastic Optical Reconstruction Microscopy) allow the visualization of cellular structures at the nanometre scale (10−9 m). This has already made it possible to decipher the composition and function of various biopolymers, such as proteins, lipids and nucleic acids, up to the three-dimensional (3D) structure of entire organelles. In practice, however, it has been shown that these imaging methods and their further developments still face great challenges in order to achieve an effective resolution below ∼ 10 nm. This is mainly due to the nature of labelling biomolecules. For the detection of molecular structures, immunostaining is often performed as a standard method. Antibodies to which fluorescent molecules are coupled, recognize and bind specifcally and with high affnity to the molecular section of the target structure, also called epitope or antigen. The fluorescent molecules serve as reporter molecules which are imaged with the use of a fluorescence microscope. However, the size of these labels with a length of about 10-15 nm in the case of immunoglobulin G (IgG) antibodies, cause a detection of the fluorescent molecules shifted to the real position of the studied antigen. In dense regions where epitopes are located close to each other, steric hindrance between antibodies can also occur and leads to an insuffcient label density. Together with the shifted detection of fluorescent molecules, these factors can limit the achievable resolution of a microscopy technique. Expansion microscopy (ExM) is a recently developed technique that achieves a resolution improvement by physical expansion of an investigated object. Therefore, biological samples such as cultured cells, tissue sections, whole organs or isolated organelles are chemically anchored into a swellable polymer. By absorbing water, this so-called superabsorber increases its own volume and pulls the covalently bound biomolecules isotropically apart. Routinely, this method achieves a magnifcation of the sample by about four times its volume. But protocol variants have already been developed that result in higher expansion factors of up to 50-fold. Since the ExM technique includes in the frst instance only the sample treatment for anchoring and magnifcation of the sample, it can be combined with various standard methods of fluorescence microscopy. In theory, the resolution of the used imaging technique improves linearly with the expansion factor of the ExM treated sample. However, an insuffcient label density and the size of the antibodies can here again impair the effective achievable resolution. The combination of ExM with high-resolution fluorescence microscopy methods represents a promising strategy to increase the resolution of light microscopy. In this thesis, I will present several ExM variants I developed which show the combination of ExM with confocal microscopy, SIM (Structured Illumination Microscopy), STED (STimulated Emission Depletion) and dSTORM. I optimized existing ExM protocols and developed different expansion strategies, which allow the combination with the respective imaging technique. Thereby, I gained new structural insights of isolated centrioles from the green algae Chlamydomonas reinhardtii by combining ExM with STED and confocal microscopy. In another project, I combined 3D-SIM imaging with ExM and investigated the molecular structure of the so-called synaptonemal complex. This structure is formed during meiosis in eukaryotic cells and contributes to the exchange of genetic material between homologous chromosomes. Especially in combination with dSTORM, the ExM method showed its high potential to overcome the limitations of modern fluorescence microscopy techniques. In this project, I expanded microtubules in mammalian cells, a polymer of the cytoskeleton as well as isolated centrioles from C. reinhardtii. By labelling after expansion of the samples, I was able to signifcantly reduce the linkage error of the label and achieve an improved label density. In future, these advantages together with the single molecule sensitivity and high resolution obtained by the dSTORM method could pave the way for achieving molecular resolution in fluorescence microscopy
Neuronal representation and processing of chemosensory communication signals in the ant brain
(2008)
Ants heavily rely on olfaction for communication and orientation and ant societies are characterized by caste- and sex-specific division of labor. Olfaction plays a key role in mediating caste-specific behaviours. I investigated whether caste- and sex-specific differences in odor driven behavior are reflected in specific differences and/or adaptations in the ant olfactory system. In particular, I asked the question whether in the carpenter ant, Camponotus floridanus, the olfactory pathway exhibits structural and/or functional adaptations to processing of pheromonal and general odors. To analyze neuroanatomical specializations, the central olfactory pathway in the brain of large (major) workers, small (minor) workers, virgin queens, and males of the carpenter ant C. floridanus was investigated using fluorescent tracing, immunocytochemistry, confocal microscopy and 3D-analyzes. For physiological analyzes of processing of pheromonal and non-pheromonal odors in the first odor processing neuropil , the antennal lobe (AL), calcium imaging of olfactory projection neurons (PNs) was applied. Although different in total glomerular volumes, the numbers of olfactory glomeruli in the ALs were similar across the female worker caste and in virgin queens. Here the AL contains up to ~460 olfactory glomeruli organized in 7 distinct clusters innervated via 7 antennal sensory tracts. The AL is divided into two hemispheres regarding innervations of glomeruli by PNs with axons leaving via a dual output pathway. This pathway consists of the medial (m) and lateral (l) antenno-cerebral tract (ACT) and connects the AL with the higher integration areas in the mushroom bodies (MB) and the lateral horn (LH). M- and l-ACT PNs differ in their target areas in the MB calyx and the LH. Three additional ACTs (mediolateral - ml) project to the lateral protocerebrum only. Males had ~45% fewer glomeruli compared to females and one of the seven sensory tracts was absent. Despite a substantially smaller number of glomeruli, males possess a dual PN output pathway to the MBs. In contrast to females, however, only a small number of glomeruli were innervated by projection neurons of the m-ACT. Whereas all glomeruli in males were densely innervated by serotonergic processes, glomeruli innervated by sensory tract six lacked serotonergic innervations in the female castes. It appears that differences in general glomerular organization are subtle among the female castes, but sex-specific differences in the number, connectivity and neuromodulatory innervations of glomeruli are substantial and likely to promote differences in olfactory behavior. Calcium imaging experiments to monitor pheromonal and non-pheromonal processing in the ant AL revealed that odor responses were reproducible and comparable across individuals. Calcium responses to both odor groups were very sensitive (10-11 dilution), and patterns from both groups were partly overlapping indicating that processing of both odor classes is not spatially segregated within the AL. Intensity response patterns to the pheromone components tested (trail pheromone: nerolic acid; alarm pheromone: n-undecane), in most cases, remained invariant over a wide range of intensities (7-8 log units), whereas patterns in response to general odors (heptanal, octanol) varied across intensities. Durations of calcium responses to stimulation with the trail pheromone component nerolic acid increased with increasing odor concentration indicating that odor quality is maintained by a stable pattern (concentration invariance) and intensity is mainly encoded in the response durations of calcium activities. For n-undecane and both general odors increasing response dynamics were only monitored in very few cases. In summary, this is the first detailed structure-function analyses within the ant’s central olfactory system. The results contribute to a better understanding of important aspects of odor processing and olfactory adaptations in an insect’s central olfactory system. Furthermore, this study serves as an excellent basis for future anatomical and/or physiological experiments.
The eukaryotic parasite Trypanosoma brucei has evolved sophisticated strategies to persist within its mammalian host. Trypanosomes evade the hosts' immune system by antigenic variation of their surface coat, consisting of variant surface glycoproteins (VSGs). Out of a repertoire of thousands of VSG genes, only one is expressed at any given time from one of the 15 telomeric expression sites (ES). The VSG is stochastically exchanged either by a transcriptional switch of the active ES (in situ switch) or by a recombinational exchange of the VSG within the active ES. However, for infections to persist, the parasite burden has to be limited. The slender (sl) bloodstream form secretes the stumpy induction factor (SIF), which accumulates with rising parasitemia. SIF induces the irreversible developmental transition from the proliferative sl to the cell cycle-arrested but fly-infective stumpy (st) stage once a concentration threshold is reached. Thus, antigenic variation and st development ensure persistent infections and transmissibility. A previous study in monomorphic cells indicated that the attenuation of the active ES could be relevant for the development of trypanosomes. The present thesis investigated this hypothesis using the inducible overexpression of an ectopic VSG in pleomorphic trypanosomes, which possess full developmental competence. These studies revealed a surprising phenotypic plasticity: while the endogenous VSG was always down-regulated upon induction, the ESactivity determined whether the VSG overexpressors arrested in growth or kept proliferating. Full ES-attenuation induced the differentiation of bona fide st parasites independent of the cell density and thus represents the sole natural SIF-independent differentiation trigger to date. A milder decrease of the ES-activity did not induce phenotypic changes, but appeared to prime the parasites for SIF-induced differentiation. These results demonstrate that antigenic variation and development are linked and indicated that the ES and the VSG are independently regulated. Therefore, I investigated in the second part of my thesis how ES-attenuation and VSG-silencing can be mediated. Integration of reporters with a functional or defective VSG 3'UTR into different genomic loci showed that the maintenance of the active state of the ES depends on a conserved motif within the VSG 3'UTR. In situ switching was only triggered when the telomere-proximal motif was partially deleted, suggesting that it serves as a DNA-binding motif for a telomere-associated protein. The VSG levels seem to be additionally regulated in trans based on the VSG 3'UTR independent of the genomic context, which was reinforced by the regulation of a constitutively expressed reporter with VSG 3' UTR upon ectopic VSG overexpression.
Microbial species (bacteria and archaea) in the gut are important for human health in various ways. Not only does the species composition vary considerably within the human population, but each individual also appears to have its own strains of a given species. While it is known from studies of bacterial pan-genomes, that genetic variation between strains can differ considerably, such as in Escherichia coli, the extent of genetic variation of strains for abundant gut species has not been surveyed in a natural habitat. This is mainly due to the fact that most of these species cannot be cultured in the laboratory. Genetic variation can range from microscale genomic rearrangements such as small nucleotide polymorphism (SNP) to macroscale large genomic rearrangements like structural variations. Metagenomics offers an alternative solution to study genetic variation in prokaryotes, as it involves DNA sequencing of the whole community directly from the environment. However, most metagenomic studies to date only focus on variation in gene abundance and hence are not able to characterize genetic variation (in terms of presence or absence of SNPs and genes) of gut microbial strains of individuals.
The aim of my doctorate studies was therefore to study the extent of genetic variation in the genomic sequence of gut prokaryotic species and its phenotypic effects based on: (1) the impact of SNP variation in gut bacterial species, by focusing on genes under selective pressure and (2) the gene content variation (as a proxy for structural variation) and their effect on microbial species and the phenotypic traits of their human host.
In the first part of my doctorate studies, I was involved in a project in which we created a catalogue of 10.3 million SNPs in gut prokaryotic species, based on metagenomes. I used this to perform the first SNP-based comparative study of prokaryotic species evolution in a natural habitat. Here, I found that strains of gut microbial species in different individuals evolve at more similar rates than the strains within an individual. In addition, I found that gene evolution can be uncoupled from the evolution of its originating species, and that this could be related to selective pressure such as diet, exemplified by galactokinase gene (galK). Despite the individuality (i.e. uniqueness of each individual within the studied metagenomic dataset) in the SNP profile of the gut microbiota that we found, for most cases it is not possible to link SNPs with phenotypic differences. For this reason I also used gene content as a proxy to study structural variation in metagenomes.
In the second part of my doctorate studies, I developed a methodology to characterize the variability of gene content in gut bacterial species, using metagenomes. My approach is based on gene deletions, and was applied to abundant species (demonstrated using a set of 11 species). The method is sufficiently robust as it captures a similar range of gene content variability as has been detected in completely sequenced genomes. Using this procedure I found individuals differ by an average of 13% in their gene content of gut bacterial strains within the same species. Interestingly no two individuals shared the same gene content across bacterial species. However, this variation corresponds to a lower limit, as it is only accounts for gene deletion and not insertions. This large variation in the gene content of gut strain was found to affect important functions, such as polysaccharide utilization loci (PULs) and capsular polysaccharide synthesis (CPS), which are related with digestion of dietary fibers.
In summary, I have shown that metagenomics based approaches can be robust in characterizing genetic variation in gut bacterial species. I also illustrated, using examples both for SNPs and gene content (galK, PULs and CPS), that this genetic variation can be used to predict the phenotypic characteristics of the microbial species, as well as predicting the phenotype of their human host (for example, their capacity to digest different food components). Overall, the results of my thesis highlight the importance of characterizing the strains in the gut microbiome analogous to the emerging variability and importance of human genomics.
A large variety of sex determination systems have been described in fish. However, almost no information is available about sex determination in the classical fish models, the zebrafish Danio rerio and the pufferfish Takifugu rubripes. A DNA-binding protein gene called dmrt1bY (or DMY) has been recently described as an outstanding candidate for the primary sex-determining gene in the medaka fish Oryzias latipes. But this gene is not the universal master sex-determining gene in teleost fish, since dmrt1bY is not found in most other fishes. Hence, other fish models need to be examined including the platyfish Xiphophorus maculatus. Xiphophorus maculatus has three types of sex chromosomes (X, Y and W; females are XX, WX or WY; males are XY or YY). Its gonosomes are at an early stage of differentiation. The sex-determining locus on the sex chromosomes is flanked by two receptor tyrosine kinase genes, the Xmrk oncogene and its protooncogenic progenitor gene egfrb, which both delimit a region of about 0.6 centiMorgans. This situation should allow the positional cloning of the sex-determining gene (SD) of the platyfish. For this purpose, Bacterial Artificial Chromosome (BAC) contigs were assembled from a BAC library of XY males constructed in our laboratory, using the oncogene Xmrk, egfrb, as well as a Y-specific pseudogene called ps-criptY as starting points. The ps-criptY sequence was found to be closely linked to the SD gene, since no recombination was observed between SD and ps-criptY in more than 400 individuals tested. Two major BAC contigs for the X chromosome (about 2.5 Mb) and three major BAC contigs for the Y chromosome (about 3.5 Mb) were built up and analyzed by strategic sequencing. These are some of the largest contigs ever assembled for the sex chromosomes of a non-mammalian vertebrate species. The molecular analysis of the ps-criptY contig was the major objective of this work. The Y-specific ps-criptY contig has been extended over 1 Mb in this work with 58 identified molecular markers. Approximatively 700 kb of non-redundant sequences has been obtained from this contig by strategic sequencing. Numerous Y-linked markers from the contig including ps-criptY were also detected on the X chromosome. Nevertheless, major structural differences were observed between the X and Y chromosomes. Particularly, a large region, which is present at one copy on the X chromosome and contains several candidate genes, was found to be duplicated on the Y chromosome. Evidence for an inversion in the sex-determining region and for the Y-specific accumulation of a repeated sequence called XIR was also obtained. Such events might correspond to an initiation of differentiation between both types of gonosomes. Accumulation of transposable elements was also observed in the ps-criptY contig. A DNA transposable element, helitron, was isolated from the sex-determining region of X. maculatus. Three copies of helitron are located on the ps-criptY contig and one copy on the X-linked contig (helitron has roughly 15 copies per haploid genome). No in-frame stop codon, truncation or intron was found in these four copies, which present high nucleotide identities to each other. This suggests that helitron elements might be active or have been recently active in X. maculatus. A consensus open reading frame of helitron was also assembled from medaka (Oryzias latipes) genomic sequences. Two candidate genes from the ps-criptY contig are also located on the W chromosome in the X. maculatus Usumacinta strain (heterogamety). These markers show the relationship between the different types of gonosomes and allow to compare the male and female heterogameties in the platyfish. Several gene candidates were identified in the ps-criptY contig. However, some of them such as msh2, cript, igd and acr probably correspond to pseudogenes. Interestingly, a novel gene, called swimy, is exclusively expressed in spermatogonia of the adult testis. Swimy is a gene encoding a DNA-binding protein with several putative DNA-binding domains. The data suggest that swimy is a very promising candidate for the master SD gene. Another novel gene, which is called fredi and encodes a novel helix-turn-helix protein, is predominately expressed in the adult testis and currently under scrutiny. There is no doubt that the master SD gene of X. maculatus will be identified by positional cloning. Further molecular analysis of the contigs built in this work will shed new light on the molecular mechanism of sex determination and the evolution of sex chromosomes in fish.
Computer Science approaches (software, database, management systems) are powerful tools to boost research. Here they are applied to metabolic modelling in infections as well as health care management. Starting from a comparative analysis this thesis shows own steps and examples towards improvement in metabolic modelling software and health data management. In section 2, new experimental data on metabolites and enzymes induce high interest in metabolic modelling including metabolic flux calculations. Data analysis of metabolites, calculation of metabolic fluxes, pathways and their condition-specific strengths is now possible by an advantageous combination of specific software. How can available software for metabolic modelling be improved from a computational point of view? A number of available and well established software solutions are first discussed individually. This includes information on software origin, capabilities, development and used methodology. Performance information is obtained for the compared software using provided example data sets. A feature based comparison shows limitations and advantages of the compared software for specific tasks in metabolic modeling. Often found limitations include third party software dependence, no comprehensive database management and no standard format for data input and output. Graphical visualization can be improved for complex data visualization and at the web based graphical interface. Other areas for development are platform independency, product line architecture, data standardization, open source movement and new methodologies. The comparison shows clearly space for further software application development including steps towards an optimal user friendly graphical user interface, platform independence, database management system and third party independence especially in the case of desktop applications. The found limitations are not limited to the software compared and are of course also actively tackled in some of the most recent developments. Other improvements should aim at generality and standard data input formats, improved visualization of not only the input data set but also analyzed results. We hope, with the implementation of these suggestions, metabolic software applications will become more professional, cheap, reliable and attractive for the user. Nevertheless, keeping these inherent limitations in mind, we are confident that the tools compared can be recommended for metabolic modeling for instance to model metabolic fluxes in bacteria or metabolic data analysis and studies in infection biology. ...
Dynamic interactions and their changes are at the forefront of current research in bioinformatics and systems biology. This thesis focusses on two particular dynamic aspects of cellular adaptation: miRNA and metabolites.
miRNAs have an established role in hematopoiesis and megakaryocytopoiesis, and platelet miRNAs have potential as tools for understanding basic mechanisms of platelet function. The thesis highlights the possible role of miRNAs in regulating protein translation in platelet lifespan with relevance to platelet apoptosis and identifying involved pathways and potential key regulatory molecules. Furthermore, corresponding miRNA/target mRNAs in murine platelets are identified. Moreover, key miRNAs involved in aortic aneurysm are predicted by similar techniques. The clinical relevance of miRNAs as biomarkers, targets, resulting later translational therapeutics, and tissue specific restrictors of genes expression in cardiovascular diseases is also discussed.
In a second part of thesis we highlight the importance of scientific software solution development in metabolic modelling and how it can be helpful in bioinformatics tool development along with software feature analysis such as performed on metabolic flux analysis applications. We proposed the “Butterfly” approach to implement efficiently scientific software programming. Using this approach, software applications were developed for quantitative Metabolic Flux Analysis and efficient Mass Isotopomer Distribution Analysis (MIDA) in metabolic modelling as well as for data management. “LS-MIDA” allows easy and efficient MIDA analysis and, with a more powerful algorithm and database, the software “Isotopo” allows efficient analysis of metabolic flows, for instance in pathogenic bacteria (Salmonella, Listeria). All three approaches have been published (see Appendices).
During infection, bacteria need to adapt to a changing environment and have to endure various stress conditions. Small non-coding RNAs are considered as important regulators of bacterial gene expression and so allow quick adaptations by altering expression of specific target genes. Regulation of gene expression in the human-restricted pathogen Neisseria gonorrhoeae, the causative agent of the sexually transmitted disease gonorrhoea, is only poorly understood. The present study aims a better understanding of gene regulation in N. gonorrhoeae by studying small non-coding RNAs.
The discovery of antisense RNAs for all opa genes led to the hypothesis of asRNA-mediated degradation of out-of-frame opa transcripts. Analysis of asRNA expression revealed a very low abundance of the transcripts and inclusion of another phase-variable gene in the study indicates that the asRNAs are not involved in degradation of out-of-frame transcripts.
This doctoral thesis focuses on the analysis of trans-acting sRNAs. The sibling sRNAs NgncR_162 and NgncR_163 were discovered as post-transcriptional regulators altering expression of genes involved in metabolic processes, amino acid uptake and transcriptional regulation. A more detailed analysis by in silico and transcriptomic approaches showed that the sRNAs regulate a broad variety of genes coding for proteins of central metabolism, amino acid biosynthesis and degradation and several transport processes. Expression levels of the sibling sRNAs depend on the growth phase of the bacteria and on the growth medium. This indicates that NgncR_162 and NgncR_163 are involved in the adaptation of the gonococcal metabolism to specific growth conditions.
This work further initiates characterisation of the sRNA NgncR_237. An in silico analysis showed details on sequence conservation and a possible secondary structure. A combination of in silico target prediction and differential RNA sequencing resulted in the identification of several target genes involved in type IV pilus biogenesis and DNA recombination. However, it was not successful to find induction conditions for sRNA expression. Interestingly, a possible sibling sRNA could be identified that shares the target interaction sequence with NgncR_237 and could therefore target the same mRNAs.
In conclusion, this thesis provides further insights in gene regulation by non-coding RNAs in N. gonorrhoeae by analysing two pairs of sibling sRNAs modulating bacterial metabolism or possibly type IV pilus biogenesis.
Past experience contributes to behavioural organization mainly via learning: Animals learn otherwise ordinary cues as predictors for biologically significant events. This thesis studies such predictive, associative learning, using the fruit fly Drosophila melanogaster. I ask two main questions, which complement each other: One deals with the processing of those cues that are to be learned as predictors for an important event; the other one deals with the processing of the important event itself, which is to be predicted. Do fruit flies learn about combinations of olfactory and visual cues? I probe larval as well as adult fruit flies for the learning about combinations of olfactory and visual cues, using a so called ‘biconditional discrimination’ task: During training, one odour is paired with reinforcement only in light, but not in darkness; the other odour in turn is reinforced only in darkness, but not in light. Thus, neither the odours nor the visual conditions alone predict reinforcement, only combinations of both do. I find no evidence that either larval or adult fruit flies were to solve such task, speaking against a cross-talk between olfactory and visual modalities. Previous studies however suggest such cross-talk. To reconcile these results, I suggest classifying different kinds of interaction between sensory modalities, according to their site along the sensory-motor continuum: I consider an interaction ‘truly’ cross-modal, if it is between the specific features of the stimuli. I consider an interaction ’amodal’ if it instead engages the behavioural tendencies or ‘values’ elicited by each stimulus. Such reasoning brings me to conclude that different behavioural tasks require different kinds of interaction between sensory modalities; whether a given kind of interaction will be found depends on the neuronal infrastructure, which is a function of the species and the developmental stage. Predictive learning of pain-relief in fruit flies Fruit flies build two opposing kinds of memory, based on an experience with electric shock: Those odours that precede shock during training are learned as predictors for punishment and are subsequently avoided; those odours that follow shock during training on the other hand are learned as signals for relief and are subsequently approached. I focus on such relief learning. I start with a detailed parametric analysis of relief learning, testing for reproducibility as well as effects of gender, repetition of training, odour identity, odour concentration and shock intensity. I also characterize how relief memories, once formed, decay. In addition, concerning the psychological mechanisms of relief learning, first, I show that relief learning establishes genuinely associative conditioned approach behaviour and second, I report that it is most likely not mediated by context associations. These results enable the following neurobiological analysis of relief learning; further, they will form in the future the basis for a mathematical model; finally, they will guide the researchers aiming at uncovering relief learning in other experimental systems. Next, I embark upon neurogenetic analysis of relief learning. First, I report that fruit flies mutant for the so called white gene build overall more ‘negative’ memories about an experience with electric shock. That is, in the white mutants, learning about the painful onset of shock is enhanced, whereas learning about the relieving offset of shock is diminished. As they are coherently affected, these two kinds of learning should be in a balance. The molecular mechanism of the effect of white on this balance remains unresolved. Finally, as a first step towards a neuronal circuit analysis of relief learning, I compare it to reward learning and punishment learning. I find that relief learning is distinct from both in terms of the requirement for biogenic amine signaling: Reward and punishment are respectively signalled by octopamine and dopamine, for relief learning, either of these seem dispensible. Further, I find no evidence for roles for two other biogenic amines, tyramine and serotonin in relief learning. Based on these findings I give directions for further research.
In contrast to c-Myc, a deregulated expression of the MYCN gene is restricted to human neuroendocrine tumours. In most cases, the excessive activity of N-Myc results from a MYCN amplification. In neuroblastoma, amplification of MYCN is a predictor of poor prognosis and resistance to therapy. The inability to target the N-Myc protein directly necessitates the search for alternative targets. This project aimed at identifying genes specifically required for growth and survival of cells that express high levels of N-Myc using high-throughput shRNA screening combined with next generation sequencing. The identification and analysis of these genes will shed light on functional interaction partners of N-Myc.
We screened a shRNA library containing 18,327 shRNAs and identified 148 shRNAs, which were selectively depleted in the presence of active N-Myc. In addition, shRNAs targeting genes that are involved in p53 and ARF turnover and apoptosis were depleted in the cell population during the screen. These processes are known to affect N-Myc-mediated apoptosis. Consequently, these results biologically validated the screen. The 148 shRNAs that showed a significant synthetic lethal interaction with high levels of N-Myc expression were further analysed using the bioinformatics program DAVID. We found an enrichment of shRNAs that target genes involved in specific biological processes. For example, we validated synthetic lethal interactions for genes such as, THOC1, NUP153 and LARP7, which play an important role in the process of RNA polymerase II-mediated transcription elongation. We also validated genes that are involved in the neddylation pathway.
In the screen we identified Cullin 3, which is a component of the BTB-CUL3-Rbx1 ubiquitin ligase that is involved in the turnover of Cyclin E. Depletion of cullin 3 and activation of N-Myc was found to synergistically increase Cyclin E expression to supraphysiological levels, inducing S-phase arrest and a strong DNA damage response.
Together with results from a proteomics analysis of N-Myc associated proteins, our results lead us to the following hypothesis: In a neuroblastoma cell, the high levels of N-Myc result in a conflict between RNA polymerase II and the replication machinery during S-phase. The newly identified interaction partners of N- Myc are required to solve this conflict. Consequently, loss of the interaction leads to a massive DNA damage and the induction of apoptosis. In addition, inhibition or depletion of the essential components of the neddylation pathway also results in an unresolvable problem during S-phase.