Doctoral Thesis
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- Cheng Lab, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA (1)
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- Harvard Medical School, Boston, USA (1)
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- Lehrstuhl für Tierökologie und Tropenbiologie, Universität Würzburg (1)
ResearcherID
- J-8841-2015 (1)
Neuropeptides and peptide hormones carrying neural or physiological information are intercellular signalling substances. They control most if not all biological processes in vertebrates and invertebrates by acting on specific receptors on the target cell. In mammals, many different neuropeptides and peptide hormones are involved in the regulation of feeding and sleep. In \textit{Drosophila}, allatostatin A (AstA) and myoinhibitory peptides (MIPs) are brain-gut peptides. The AstA receptors are homologues of the mammalian galanin receptors and the amino acid sequences of MIPs are similar to a part of galanin, which has an orexigenic effect and is implicated in the control of sleep behaviour in mammals. I am interested in dissecting pleiotropic functions of AstA and MIPs in the regulation of food intake and sleep in \textit{Drosophila}. \par
In the first part of the dissertation the roles of brain-gut peptide allatostatin A are analysed. Due to the genetic and molecular tools available, the fruit fly \textit{Drosophila melanogaster} is chosen to investigate functions of AstA. The aims in this part are to identify pleiotropic functions of AstA and assign specific effects to the activity of certain subsets of AstA expressing cells in \textit{Drosophila} adults. A new and restricted \textit{AstA\textsuperscript{34}-Gal4} line was generated. The confocal imaging result showed that AstA neurons are located in the posterior lateral protocerebrum (PLP), the gnathal ganglia (GNG), the medullae, and thoracic-abdominal ganglion (TAG). AstA producing DLAa neurons in the TAG innervate hindgut and the poterior part of midgut. In addition, AstA are detected in the enteroendocrine cells (EECs).\par
Thermogenetic activation and neurogenetic silencing tools with the aid of the \textit{UAS/Gal4} system were employed to manipulate the activity of all or individual subsets of AstA cells and investigate the effects on food intake, locomotor activity and sleep. Our experimental results showed that thermogenetic activation of two pairs of PLP neurons and/or AstA expressing EECs reduced food intake, which can be traced to AstA signalling by using \textit{AstA} mutants. In the locomotor activity, thermogenetic activation of two pairs of PLP neurons and/or AstA expressing EECs resulted in strongly inhibited locomotor activity and promoted sleep without sexual difference, which was most apparent during the morning and evening activity peaks. The experimental and control flies were not impaired in climbing ability. In contrast, conditional silencing of the PLP neurons and/or AstA expressing EECs reduced sleep specifically in the siesta. The arousal experiment was employed to test for the sleep intensity. Thermogenetically activated flies walked significantly slower and a shorter distance than controls for all arousal stimulus intensities. Furthermore, PDF receptor was detected in the PLP neurons and the PLP neurons reacted with an intracellular increase of cAMP upon PDF, only when PDF receptor was present. Constitutive activation of AstA cells by tethered PDF increased sleep and thermogenetic activation of the PDF producing sLNvs promoted sleep specifically in the morning and evening. \par
The study shows that the PLP neurons and/or EECs vis AstA signalling subserve an anorexigenic and sleep-regulating function in \textit{Drosophila}. The PLP neurons arborise in the posterior superior protocerebrum, where the sleep relevant dopaminergic neurons are located, and EECs extend themselves to reach the gut lumen. Thus, the PLP neurons are well positioned to regulate sleep and EECs potentially modulate feeding and possibly locomotor activity and sleep during sending the nutritional information from the gut to the brain. The results of imaging, activation of the PDF signalling pathway by tethered PDF and thermoactivation of PDF expressing sLNvs suggest that the PLP neurons are modulated by PDF from sLNv clock neurons and AstA in PLP neurons is the downstream target of the central clock to modulate locomotor activity and sleep. AstA receptors are homologues of galanin receptors and both of them are involved in the regulation of feeding and sleep, which appears to be conserved in evolutionary aspect.\par
In the second part of the dissertation, I analysed the role of myoinhibitory peptides. MIPs are brain-gut peptides in insects and polychaeta. Also in \textit{Drosophila}, MIPs are expressed in the CNS and EECs in the gut. Previous studies have demonstrated the functions of MIPs in the regulation of food intake, gut motility and ecdysis in moths and crickets. Yet, the functions of MIPs in the fruit fly are little known. To dissect effects of MIPs regarding feeding, locomotor activity and sleep in \textit{Drosophila melanogater}, I manipulated the activity of MIP\textsuperscript{WÜ} cells by using newly generated \textit{Mip\textsuperscript{WÜ}-Gal4} lines. Thermogenetical activation or genetical silencing of MIP\textsuperscript{WÜ} celles did not affect feeding behaviour and resulted in changes in the sleep status. \par
My results are in contradiction to a recent research of Min Soohong and colleagues who demonstrated a role of MIPs in the regulation of food intake and body weight in \textit{Drosophila}. They showed that constitutive silencing of MIP\textsuperscript{KR} cells increased food intake and body weight, whereas thermogenetic activation of MIP\textsuperscript{KR} cells decreased food intake and body weight by using \textit{Mip\textsuperscript{KR}-Gal4} driver. Then I repeated the experiments with the \textit{Mip\textsuperscript{KR}-Gal4} driver, but could not reproduce the results. Interestingly, I just observed the opposite phenotype. When MIP\textsuperscript{KR} cells were silenced by expressing UAS-tetanus toxin (\textit{UAS-TNT}), the \textit{Mip\textsuperscript{KR}$>$TNT} flies showed reduced food intake. The thermogenetic activation of MIP\textsuperscript{KR} cells did not affect food intake. Furthermore, I observed that the thermogenetic activation of MIP\textsuperscript{KR} cells strongly reduced the sleep duration.\par
In the third part of the dissertation, I adapted and improved a method for metabolic labelling for \textit{Drosophila} peptides to quantify the relative amount of peptides and the released peptides by mass spectrometry under different physiological and behavioural conditions. qRT-PCR is a practical technique to measure the transcription and the corresponding mRNA level of a given peptide. However, this is not the only way to measure the translation and production of peptides. Although the amount of peptides can be quantified by mass spectrometry, it is not possible to distinguish between peptides stored in vesicles and released peptides in CNS extracts. I construct an approach to assess the released peptides, which can be calculated by comparing the relative amount of peptides between two timepoints in combination with the mRNA levels which can be used as semiquantitative proxy reflecting the production of peptides during this period. \par
After optimizing the protocol for metabolic labelling, I carried out a quantitative analysis of peptides before and after eclosion as a test. I was able to show that the EH- and SIFa-related peptides were strongly reduced after eclosion. This is in line with the known function and release of EH during eclosion. Since this test was positive, I next used the metabolic labelling in \textit{Drosophila} adult, which were either fed \textit{ad libitum} or starved for 24 hrs, and analysed the effects on the amount of AstA and MIPs. In the mRNA level, my results showed that in the brain \textit{AstA} mRNA level in the 24 hrs starved flies was increased compared to in the \textit{ad libitum} fed flies, whereas in the gut the \textit{AstA} mRNA level was decreased. Starvation induced the reduction of \textit{Mip} mRNA level in the brain and gut. Unfortunately, due to technical problems I was unable to analyse the metabolic labelled peptides during the course of this thesis.\par
In mammals, anucleate blood platelets are constantly produced by their giant bone marrow (BM) progenitors, the megakaryocytes (MKs), which originate from hematopoietic stem cells. Megakaryopoiesis and thrombopoiesis have been studied intensively, but the exact mechanisms that control platelet generation from MKs remain poorly understood. Using multiphoton intravital microscopy (MP-IVM), thrombopoiesis and proplatelet formation were analyzed in the murine BM in real-time and in vivo, identifying an important role for several proteins, including Profilin1, TRPM7 and RhoA in thrombopoiesis. Currently, it is thought that blood cell precursors, such as MKs, migrate from the endosteal niche towards the vascular niche during maturation. In contrast to this paradigm, it was shown that MKs are homogeneously distributed within the dense BM blood vessel network, leaving no space for vessel-distant niches. By combining results from in vivo MP-IVM, in situ light-sheet fluorescence microscopy (LSFM) of the intact BM as well as computational simulations, surprisingly slow MK migration, limited intervascular space and a vessel-biased MK pool were revealed, contradicting the current concept of directed MK migration during thrombopoiesis.
Platelets play an essential role in hemostasis and thrombosis, but also in the pathogenesis of ischemic stroke. Ischemic stroke, which is mainly caused by thromboembolic occlusion of brain arteries, is among the leading causes of death and disability worldwide with limited treatment options. The platelet collagen receptor glycoprotein (GP) VI is a key player in arterial thrombosis and a critical determinant of stroke outcome, making its signaling pathway an attractive target for pharmacological intervention. The spleen tyrosine kinase (Syk) is an essential signaling mediator downstream of GPVI, but also of other platelet and immune cell receptors. In this thesis, it was demonstrated that mice lacking Syk specifically in platelets are protected from arterial thrombus formation and ischemic stroke, but display unaltered hemostasis. Furthermore, it was shown that mice treated with the novel, selective and orally bioavailable Syk inhibitor BI1002494 were protected in a model of arterial thrombosis and had smaller infarct sizes and a significantly better neurological outcome 24 h after transient middle cerebral artery occlusion (tMCAO), also when BI1002494 was administered therapeutically, i.e. after ischemia. These results provide direct evidence that pharmacological Syk inhibition might become a safe therapeutic strategy. The T cell receptor chain-associated protein kinase of 70 kDA (Zap-70) is also a spleen tyrosine kinase family member, but has a lower intrinsic activity compared to Syk and is expressed in T cells and natural killer (NK) cells, but not in platelets. Unexpectedly, arterial thrombus formation in vivo can occur independently of Syk kinase function as revealed by studies in Sykki mice, which express Zap-70 under the control of intrinsic Syk promoter elements.
N-MYC is a member of the human MYC proto-oncogene family, which comprises three transcription factors (C-, N- and L-MYC) that function in multiple biological processes. Deregulated expression of MYC proteins is linked to tumour initiation, maintenance and progression. For example, a large fraction of neuroblastoma displays high N-MYC levels due to an amplification of the N-MYC encoding gene. MYCN-amplified neuroblastoma depend on high N-MYC protein levels, which are maintained by Aurora-A kinase. Aurora-A interaction with N-MYC interferes with degradation of N-MYC via the E3 ubiquitin ligase SCFFBXW7. However, the underlying mechanism of Aurora-A-mediated stabilisation of N-MYC remains to be elucidated.
To identify novel N-MYC interacting proteins, which could be involved in N-MYC stabilisation by Aurora-A, a proteomic analysis of purified N-MYC protein complexes was conducted. Since two alanine mutations in MBI of N-MYC, T58A and S62A (N-MYC mut), disable Aurora-A-mediated stabilisation of N-MYC, N-MYC protein complexes from cells expressing either N-MYC wt or mut were analysed. Proteomic analysis revealed that N-MYC interacts with two deubiquitinating enzymes, USP7 and USP11, which catalyse the removal of ubiquitin chains from target proteins, preventing recognition by the proteasome and subsequent degradation. Although N-MYC interaction with USP7 and USP11 was confirmed in subsequent immunoprecipitation experiments, neither USP7, nor USP11 was shown to be involved in the regulation of N-MYC stability. Besides USP7/11, proteomic analyses identified numerous additional N-MYC interacting proteins that were not described to interact with MYC transcription factors previously. Interestingly, many of the identified N-MYC interaction partners displayed a preference for the interaction with N-MYC wt, suggesting a MBI-dependent interaction. Among these were several proteins, which are involved in three-dimensional organisation of chromatin domains and transcriptional elongation by POL II. Not only the interaction of N-MYC with proteins functioning in elongation, such as the DSIF component SPT5 and the PAF1C components CDC73 and CTR9, was validated in immunoprecipitation experiments, but also with the POL III transcription factor TFIIIC and topoisomerases TOP2A/B. ChIP-sequencing analysis of N-MYC and TFIIIC subunit 5 (TFIIIC5) revealed a large number of joint binding sites in POL II promoters and intergenic regions, which are characterised by the presence of a specific motif that is highly similar to the CTCF motif. Additionally, N-MYC was shown to interact with the ring-shaped cohesin complex that is known to bind to CTCF motifs and to assist the insulator protein CTCF. Importantly, individual ChIP experiments demonstrated that N-MYC, TFIIIC5 and cohesin subunit RAD21 occupy joint binding sites comprising a CTCF motif.
Collectively, the results indicate that N-MYC functions in two biological processes that have not been linked to MYC biology previously. Furthermore, the identification of joint binding sites of N-MYC, TFIIIC and cohesin and the confirmation of their interaction with each other suggests a novel function of MYC transcription factors in three-dimensional organisation of chromatin.
The main theme of this thesis is the development of multigrid and hierarchical matrix solution procedures with almost linear computational complexity for classes of partial integro-differential problems. An elliptic partial integro-differential equation, a convection-diffusion partial integro-differential equation and a convection-diffusion partial integro-differential optimality system are investigated. In the first part of this work, an efficient multigrid finite-differences scheme for solving an elliptic
Fredholm partial integro-differential equation (PIDE) is discussed. This scheme combines a second-order accurate finite difference discretization and a Simpson's quadrature rule to approximate the PIDE problem and a multigrid scheme and a fast
multilevel integration method of the Fredholm operator allowing the fast solution of the PIDE problem. Theoretical estimates of second-order accuracy and results of local Fourier analysis of convergence of the proposed multigrid scheme
are presented. Results of numerical experiments validate these estimates and demonstrate optimal computational complexity of the proposed framework that includes numerical experiments for elliptic PIDE problems with singular kernels. The experience gained in this part of the work is used for the investigation of convection diffusion partial-integro differential equations in the second part of this thesis.
Convection-diffusion PIDE problems are discretized using a finite volume scheme referred to as the Chang and Cooper (CC) scheme and a quadrature rule. Also for this class of PIDE problems and this numerical setting, a stability and accuracy analysis of the CC scheme combined with a Simpson's quadrature rule is presented proving second-order accuracy of the numerical solution. To extend and investigate the proposed approximation and solution strategy to the case of systems of convection-diffusion PIDE, an optimal control problem governed by this model is considered. In this case the research focus is the CC-Simpson's discretization of the optimality system and its solution by the proposed multigrid strategy. Second-order accuracy of the optimization solution is proved and results of local Fourier analysis are presented that provide sharp convergence estimates of the optimal computational complexity of the multigrid-fast integration technique.
While (geometric) multigrid techniques require ad-hoc implementation depending on the structure of the PIDE problem and on the dimensionality of the domain where the problem is considered, the hierarchical matrix framework allows a more general treatment that exploits the algebraic structure of the problem at hand. In this thesis, this framework is extended to the case of combined differential and integral problems considering the case of a convection-diffusion PIDE. In this case, the starting point is the CC discretization of the convection-diffusion operator combined with the trapezoidal quadrature rule. The hierarchical matrix approach exploits the algebraic nature of the hierarchical matrices for blockwise approximations by low-rank matrices of the sparse convection-diffusion approximation and enables data sparse representation of the fully populated matrix where all essential matrix operations are performed with at most logarithmic optimal complexity. The factorization of part of or the whole coefficient matrix is used as a preconditioner to the solution of the PIDE problem using a generalized minimum residual (GMRes) procedure as a solver.
Numerical analysis estimates of the accuracy of the
finite-volume and trapezoidal rule approximation are
presented and combined with estimates of the
hierarchical matrix approximation and with the
accuracy of the GMRes iterates. Results of numerical experiments are reported that
successfully validate the theoretical estimates and
the optimal computational complexity of the proposed hierarchical matrix
solution procedure. These results include an extension to higher dimensions and an application to the time evolution of the probability density function of a jump diffusion process.
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.
The sequencing of several ant genomes within the last six years open new research avenues for understanding not only the genetic basis of social species but also the complex systems such as immune responses in general. Similar to other social insects, ants live in cooperative colonies, often in high densities and with genetically identical or closely related individuals. The contact behaviours and crowd living conditions allow the disease to spread rapidly through colonies. Nevertheless, ants can efficiently combat infections by using diverse and effective immune mechanisms. However, the components of the immune system of carpenter ant Camponotus floridanus and also the factors in bacteria that facilitate infection are not well understood.
To form a better view of the immune repository and study the C. floridanus immune responses against the bacteria, experimental data from Illumina sequencing and mass-spectrometry (MS) data of haemolymph in normal and infectious conditions were analysed and integrated with the several bioinformatics approaches. Briefly, the tasks were accomplished in three levels. First, the C. floridanus genome was re-annotated for the improvement of the existing annotation using the computational methods and transcriptomics data. Using the homology based methods, the extensive survey of literature, and mRNA expression profiles, the immune repository of C. floridanus were established. Second, large-scale protein-protein interactions (PPIs) and signalling network of C. floridanus were reconstructed and analysed and further the infection induced functional modules in the networks were detected by mapping of the expression data over the networks. In addition, the interactions of the immune components with the bacteria were identified by reconstructing inter-species PPIs networks and the interactions were validated by literature. Third, the stage-specific MS data of larvae and worker ants were analysed and the differences in the immune response were reported.
Concisely, all the three omics levels resulted to multiple findings, for instance, re-annotation and transcriptome profiling resulted in the overall improvement of structural and functional annotation and detection of alternative splicing events, network analysis revealed the differentially expressed topologically important proteins and the active functional modules, MS data analysis revealed the stage specific differences in C. floridanus immune responses against bacterial pathogens.
Taken together, starting from re-annotation of C. floridanus genome, this thesis provides a transcriptome and proteome level characterization of ant C. floridanus, particularly focusing on the immune system responses to pathogenic bacteria from a biological and a bioinformatics point of view. This work can serve as a model for the integration of omics data focusing on the immuno-transcriptome of insects.