Refine
Has Fulltext
- yes (19)
Is part of the Bibliography
- yes (19)
Year of publication
- 2007 (19) (remove)
Document Type
- Doctoral Thesis (12)
- Journal article (5)
- Master Thesis (1)
- Preprint (1)
Language
- English (19) (remove)
Keywords
- Bioinformatik (2)
- Entwicklungsbiologie (2)
- Evolution (2)
- Microtubules (2)
- evolution (2)
- API-Massenspektrometrie (1)
- ARHI (1)
- Aggression (1)
- Ampfer (1)
- Arena experiment (1)
- Auswertung (1)
- B cells (1)
- B-Zell-Lymphom (1)
- B-cell lymphoma (1)
- B-zellen (1)
- BAY 43-9006 (1)
- Background DNA damage (1)
- Bedeutung (1)
- Bildverarbeitung (1)
- Biogene Amine (1)
- Bioinformatics (1)
- Blattkäfer (1)
- Chrysomelidae (1)
- Coleoptera (1)
- Comet assay (1)
- DNA adducts (1)
- DNA-Addukte (1)
- DNS-Schädigung (1)
- DNS-Strangbruch (1)
- Database (1)
- Datenbank (1)
- DiRas3 (1)
- Diffuse large B-cell lymphoma (DLBCL) (1)
- Diffuses großzelliges B-Zell-Lymphom (1)
- Diphenylharnstoff (1)
- Dose response relationships (1)
- Dosis-Wirkungs-Beziehung (1)
- Drosophila (1)
- Drosophila melanogaster (1)
- EB1 (1)
- Electron Microscopy (1)
- Elektronenmikroskopie (1)
- Entscheidung (1)
- Entscheidungen (1)
- Fitness (1)
- Functional Studies (1)
- Gehirn (1)
- Gelenkrheumatismus (1)
- Genexpression (1)
- Gentoxikologie (1)
- Geschlechtsbestimmung (1)
- Gonade (1)
- Gödel (1)
- HPLC-MS (1)
- Hintergrund-DNA-Schaden (1)
- Hirnforschung (1)
- ITS-2 (1)
- ITS2 (1)
- Image Processing (1)
- Insekt (1)
- Insekten (1)
- Interleukin-5 (1)
- Japankärpfling (1)
- Kinase Inhibitor (1)
- Komplex <Algebra> (1)
- Komplexität (1)
- Konfokale Mikroskopie (1)
- Krebs (1)
- Käfer (1)
- LC-MS (1)
- Laser-Rastermikroskopie (1)
- Lattice (1)
- Leica-Mikroskopie und -Systeme GmbH (1)
- Locomotion compensator (1)
- Mal3p (1)
- Mantelzell-Lymphom (1)
- Mantle cell lymphoma (MCL) (1)
- Melanom (1)
- Midkine (1)
- Mikroevolution (1)
- Mikroskopie (1)
- Mikrotubule (1)
- Mikrotubuli (1)
- Mikrotubulus (1)
- Mutagenitätstest (1)
- NFATc1 sumoylation (1)
- Natürliche Auslese (1)
- Neuralleiste (1)
- Neuralrohr (1)
- Neuroanatomie (1)
- Nexavar (1)
- Noey2 (1)
- Octopamin (1)
- Perl (1)
- Phylogenie (1)
- Phylogeny (1)
- Placozoa (1)
- RAF (1)
- RAf (1)
- RNS (1)
- Rheumatoid arthritis (1)
- Rituximab (1)
- Rumex (1)
- S (1)
- SQL (1)
- Salvia pratensis (1)
- Seam (1)
- Software (1)
- Somitogenese (1)
- Sorafinib (1)
- Sozialität (1)
- Standardgehirn (1)
- Strukturanalyse (1)
- Systembiologie (1)
- Taufliege (1)
- Trichoplax adhaerens (1)
- Tubulin (1)
- Tyramin (1)
- VIB (1)
- Verhalten (1)
- Visualisierung (1)
- Visualization (1)
- Wachstumsfaktoren (1)
- Wiesensalbei (1)
- Würzburg / Universität / Lehrstuhl für Bioinformatik (1)
- Zebrabärbling (1)
- aggression (1)
- amh (1)
- ant-butterfly interaction (1)
- bioassay-guided fractionation (1)
- biogenic amine (1)
- cancer (1)
- complexity (1)
- decision (1)
- delayed development (1)
- diphenyl urea (1)
- dispersal rate (1)
- dynamics (1)
- environmental correlation (1)
- eusociality (1)
- evolutionarily stable strategy (ESS) (1)
- evolutionary modelling (1)
- fitness (1)
- gene expression (1)
- genetics (1)
- gonad development (1)
- growth dimorphism (1)
- growth factor (1)
- host recognition (1)
- individual-based model (1)
- insect (1)
- internal transcribed spacer 2 (1)
- kin competition (1)
- kinase inhibitor (1)
- meaning (1)
- medaka (1)
- melanoma (1)
- neural tube (1)
- octopamine (1)
- olfaction (1)
- olfactometer (1)
- resource allocation (1)
- selection (1)
- sex determination (1)
- social parasitism (1)
- software (1)
- somitogenesis (1)
- sox9 (1)
- standardization (1)
- stem arena (1)
- structure analysis (1)
- tyramine (1)
- vision (1)
- walking (1)
- wt1 (1)
Institute
- Theodor-Boveri-Institut für Biowissenschaften (19) (remove)
Questions: What are the relative contributions of kin selection and individual selection to the evolution of dispersal rates in fragmented landscapes? How do environmental parameters influence the relative contributions of both evolutionary forces? Features of the model: Individual-based simulation model of a metapopulation. Logistic local growth dynamics and density-dependent dispersal. An optional shuffling algorithm allows the continuous destruction of any genetic structure in the metapopulation. Ranges of key variables: Depending on dispersal mortality (0.05-0.4) and the strength of environmental fluctuations, mean dispersal probability varied between 0.05 and 0.5. Conclusions: For local population sizes of 100 individuals, kin selection alone could account for dispersal probabilities of up to 0.1. It may result in a ten-fold increase of optimal dispersal rates compared with those predicted on the basis of individual selection alone. Such a substantial contribution of kin selection to dispersal is restricted to cases where the overall dispersal probabilities are small (textless 0.1). In the latter case, as much as 30% of the total fitness of dispersing individuals could arise from the increased reproduction of kin left in the natal patch.
Caterpillars of the butterfly Maculinea rebeli develop as parasites inside ant colonies. In intensively studied French populations, about 25% of caterpillars mature within 1 year (fast-developing larvae [FDL]) and the others after 2 years (slow-developing larvae [SDL]); all available evidence indicates that this ratio is under the control of egg-laying females. We present an analytical model to predict the evolutionarily stable fraction of FDL (pESS). The model accounts for added winter mortality of SDL, general and kin competition among caterpillars, a competitive advantage of SDL over newly entering FDL (priority effect), and the avoidance of renewed infection of ant nests by butterflies in the coming season (segregation). We come to the following conclusions: (1) all factors listed above can promote the evolution of delayed development; (2) kin competition and segregation stabilize pESS near 0.5; and (3) a priority effect is the only mechanism potentially selecting for. However, given the empirical data, pESS is predicted to fall closer to 0.5 than to the 0.25 that has been observed. In this particular system, bet hedging cannot explain why more than 50% of larvae postpone growth. Presumably, other fitness benefits for SDL, for example, higher fertility or longevity, also contribute to the evolution of delayed development. The model presented here may be of general applicability for systems where maturing individuals compete in small subgroups.
Background: According to the classical model of Macevicz and Oster, annual eusocial insects should show a clear dichotomous "bang-bang" strategy of resource allocation; colony fitness is maximised when a period of pure colony growth (exclusive production of workers) is followed by a single reproductive period characterised by the exclusive production of sexuals. However, in several species graded investment strategies with a simultaneous production of workers and sexuals have been observed. Such deviations from the "bang-bang" strategy are usually interpreted as an adaptive (bet-hedging) response to environmental fluctuations such as variation in season length or food availability. To generate predictions about the optimal investment pattern of insect colonies in fluctuating environments, we slightly modified Macevicz and Oster's classical model of annual colony dynamics and used a dynamic programming approach nested into a recurrence procedure for the solution of the stochastic optimal control problem. Results: 1) The optimal switching time between pure colony growth and the exclusive production of sexuals decreases with increasing environmental variance. 2) Yet, for reasonable levels of environmental fluctuations no deviation from the typical bang-bang strategy is predicted. 3) Model calculations for the halictid bee Lasioglossum malachurum reveal that bet-hedging is not likely to be the reason for the graded allocation into sexuals versus workers observed in this species. 4) When environmental variance reaches a critical level our model predicts an abrupt change from dichotomous behaviour to graded allocation strategies, but the transition between colony growth and production of sexuals is not necessarily monotonic. Both, the critical level of environmental variance as well as the characteristic pattern of resource allocation strongly depend on the type of function used to describe environmental fluctuations. Conclusion: Up to now bet-hedging as an evolutionary response to variation in season length has been the main argument to explain field observations of graded resource allocation in annual eusocial insect species. However, our model shows that the effect of moderate fluctuations of environmental conditions does not select for deviation from the classical bang-bang strategy and that the evolution of graded allocation strategies can be triggered only by extreme fluctuations. Detailed quantitative observations on resource allocation in eusocial insects are needed to analyse the relevance of alternative explanations, e.g. logistic colony growth or reproductive conflict between queen and workers, for the evolution of graded allocation strategies.
The Ras/RAF/MEK/ERK cascade is a central cellular signal transduction pathway involved in cell proliferation, differentiation, and survival where RAF kinases are pivotal kinases implicated in cancer. The development of specific irreversible kinase inhibitors is a rewarding but difficult aim. CI-1033 was developed to irreversibly inhibit erbB receptor tyrosine kinases by reacting to the Cys113 residue (p38alpha MAP kinase numbering) of the kinase domain. In this study we tried a similar approach to target the RAF oncoproteins which posses a similar cysteine at position 108 in the hinge region between the small n-lobe and the large c-lobe of the kinase domain. A novel synthetic approach including a lyophilization step allowed us the synthesis of a diphenyl urea compound with an epoxide moiety (compound 1). Compound 1 possessed inhibitory activity in vitro. However our time kinetics experiments and mass spectroscopic studies clearly indicate that compound 1 does not react covalently with the cysteine residue in the hinge region. Moreover, in cell culture experiments, a strong activation of the RAF signaling pathway was observed, an effect which is known from several other RAF kinase inhibitors and is here reported for the first time for a diphenyl urea compound, to which the clinically used unspecific kinase inhibitor BAY 43-9006 (Sorafinib, Nexavar) belongs. Although activation was apparently independent on B- and C-RAF hetero-oligomerization in vitro, in vivo experiments support such a mechanism as the activation did not occur in starved knockout cells lacking either B-RAF or C-RAF. Furthermore, we developed a mathematical model of the Ras/RAF/MEK/ERK cascade demonstrating how stimuli induce different signal patterns and thereby different cellular responses, depending on cell type and the ratio between B-RAF and C-RAF. Based on biochemical data for activation and dephosphorylation, we set up differential equations for a dynamical model of the Ras/RAF/MEK/ERK cascade. We find a different signaling pattern and response result for B-RAF (strong activation, sustained signal) and C-RAF (steep activation, transient signal). We further support the significance of such differential modulatory signaling by showing different RAF isoform expression in various cell lines and experimental testing of the predicted kinase activities in B-RAF, C-RAF as well as mutated versions. Additionally the effect of the tumor suppressor DiRas3 (also known as Noey2 or ARHI) on RAF signaling was studied. I could show that DiRas3 down-regulates the mitogenic pathway by inhibition of MEK, a basis for a refined model of the Ras/RAF/MEK/ERK cascade.
The live sciences currently undergo a paradigm shift to computer aided discoveries. Discoveries in the live sciences were historically made by either direct observation or as a result of chemical assays. Today we see a growing shift toward computer aided analysis and visualization. This gradual process happens in microscopy. Multidimensional laser scanning microscopy can acquire very complex multichannel data from fixed or live specimen. New probes such as visible fluorescent proteins let us observe the expression of genes and track protein localization. Ion sensitive dyes change intensity with the concentration of ions in the cell. The laser scanning confocal allows us to record these processes in three dimensions over time. This work demonstrates the application of software analysis to multidimensional microscopy data. We introduce methods for volume investigation, ion flux analysis and molecular modeling. The visualization methods are based on a multidimensional data model to accommodate complex datasets. The software uses vector processing and multiple processors to accelerate volume rendering and achieve interactive rendering. The algorithms are based on human visual perception and allow the observer a wide range of mixed render modes. The software was used to reconstruct the pituitary development in zebrafish and observe the degeneration of neurons after injury in a mouse model. Calicum indicator dyes have long been used to study calcium fluxes. We optimized the imaging method to minimize impact on the cell. Live cells were imaged continuously for 45 minutes and subjected to increasing does of a drug. We correlated the amplitude of calcium oscillations to increasing doses of a drug and obtain single cell dose response curves. Because this method is very sensitive and measures single cell responses it has potential in drug discovery and characterization. Microtubules form a dynamic cytoskeleton, which is responsible for cell shape, intracellular transport and has an integral role in mitosis. A hallmark of microtubule organization is lateral interactions. Microtubules are bundles by proteins into dense structures. To estimate the contribution of this bundling process, we created a fractal model of microtubule organization. This model demonstrates that morphology of complex microtubule arrays can be explained by bundling alone. In summary we showed that advances in software for visualization, data analysis and modeling lead to new discoveries.
The internal transcribed spacer 2 (ITS2) of the ribosomal gene repeat is an increasingly important phylogenetic marker whose RNA secondary structure is widely conserved across eukaryotic organisms. The ITS2 database aims to be a comprehensive resource on ITS2 sequence and secondary structure, based on direct thermodynamic as well as homology modelled RNA folds. Results: (a) A rebuild of the original ITS2 database generation scripts applied to a current NCBI dataset reveal more than 60,000 ITS2 structures. This more than doubles the contents of the original database and triples it when including partial structures. (b) The end-user interface was rewritten, extended and now features user-defined homology modelling. (c) Other possible RNA structure discovery methods (namely suboptimal and shape folding) prove helpful but are not able to replace homology modelling. (d) A use case of the ITS2 database in conjunction with other tools developed at the department gave insight into molecular phylogenetic analysis with ITS2.
Background: The frequency of the most observed cancer, Non Hodgkin Lymphoma (NHL), is further rising. Diffuse large B-cell lymphoma (DLBCL) is the most common of the NHLs. There are two subgroups of DLBCL with different gene expression patterns: ABC (“Activated B-like DLBCL”) and GCB (“Germinal Center B-like DLBCL”). Without therapy the patients often die within a few months, the ABC type exhibits the more aggressive behaviour. A further B-cell lymphoma is the Mantle cell lymphoma (MCL). It is rare and shows very poor prognosis. There is no cure yet. Methods: In this project these B-cell lymphomas were examined with methods from bioinformatics, to find new characteristics or undiscovered events on the molecular level. This would improve understanding and therapy of lymphomas. For this purpose we used survival, gene expression and comparative genomic hybridization (CGH) data. In some clinical studies, you get large data sets, from which one can reveal yet unknown trends. Results (MCL): The published proliferation signature correlates directly with survival. Exploratory analyses of gene expression and CGH data of MCL samples (n=71) revealed a valid grouping according to the median of the proliferation signature values. The second axis of correspondence analysis distinguishes between good and bad prognosis. Statistical testing (moderate t-test, Wilcoxon rank-sum test) showed differences in the cell cycle and delivered a network of kinases, which are responsible for the difference between good and bad prognosis. A set of seven genes (CENPE, CDC20, HPRT1, CDC2, BIRC5, ASPM, IGF2BP3) predicted, similarly well, survival patterns as proliferation signature with 20 genes. Furthermore, some bands could be associated with prognosis in the explorative analysis (chromosome 9: 9p24, 9p23, 9p22, 9p21, 9q33 and 9q34). Results (DLBCL): New normalization of gene expression data of DLBCL patients revealed better separation of risk groups by the 2002 published signature based predictor. We could achieve, similarly well, a separation with six genes. Exploratory analysis of gene expression data could confirm the subgroups ABC and GCB. We recognized a clear difference in early and late cell cycle stages of cell cycle genes, which can separate ABC and GCB. Classical lymphoma and best separating genes form a network, which can classify and explain the ABC and GCB groups. Together with gene sets which identify ABC and GCB we get a network, which can classify and explain the ABC and GCB groups (ASB13, BCL2, BCL6, BCL7A, CCND2, COL3A1, CTGF, FN1, FOXP1, IGHM, IRF4, LMO2, LRMP, MAPK10, MME, MYBL1, NEIL1 and SH3BP5; Altogether these findings are useful for diagnosis, prognosis and therapy (cytostatic drugs).
Interleukin-5 (IL-5) is a member of the hematopoietic class I cytokines and is specifically involved in eosinophil activation. IL-5 plays an important role in disease conditions such as allergic asthma and other hypereosinophilias, which are characterized by highly increased levels of eosinophils in peripheral blood and tissues. The IL-5 receptor is a heterodimer consisting of a binding alpha subunit (IL- 5Rα) and a common beta subunit (IL-5Rβ). This IL-5Rβ is shared with the IL-3 and GM-CSF receptors. The IL-5Rα is required for ligand-specific binding, whereas the association of the IL-5Rβ subunit triggers intracellular signal transduction. Previous studies have described the crystallographic structure of human IL-5 (hIL-5), as well as that of the common IL-5Rβ chain (IL-5Rβc) However, no experimental structural data are yet available for the interaction of the high-affinity IL-5 receptor IL-5Rα with its ligand IL-5. Therefore, this thesis had the principle objective to gain new insights into the basis of this important agonist-receptor interaction. In particular, data on the recombinant expression, purification and preparation of the binary complex of hIL-5 bound to the receptor ectodomain of hIL-5Rα are shown, as well as the subsequent crystal structure analysis of the binary ligand-receptor (hIL-5Rα/hIL-5) complex. Both proteins were expressed in an Escherichia coli expression system, purified to homogeneity, and crystallized. However, since the initial analysis of these crystals did not show any X-ray diffraction, each step of the preparation and crystallization procedure had to be stepwise optimized. Several improvements proved to be crucial for obtaining crystals suitable for structure analysis. A free cysteine residue in the N-terminal domain of the hIL-5Rα ectodomain protein was mutated to alanine to remove protein heterogeneity. In addition, hIL-5 affinity chromatography of the receptor protein proved to be absolutely crucial for crystal quality. Additive screening using the initial crystallization condition finally yielded crystals of the binary complex, which diffracted to 2.5Å resolution and were suitable for structure analysis. The preliminary structure data demonstrate a new receptor architecture for the IL-5Rα ligand-binding domain, which has no similarities to other cytokine class I receptor structures known so far. The complex structure demonstrates that the ligand-binding region of human IL-5Rα is dispersed over all three extracellular domains, and adopts a binding topology in which the cytokine recognition motif (CRM) needs the first Fn-III domain of the human IL-5Rα to bind the ligand. In a second project, a prokaryotic expression system for murine IL-5 (mIL-5) was established to allow the production of mIL-5 and mIL-5 antagonist that should facilitate functional studies in mice. Since the expression of mIL-5 in E. coli had never been successful so far, a fusion protein system was generated expressing high yields of mIL-5. Chemical cleavage with cyanogen bromide (CNBr) was used to release mIL-5 monomers, which were subsequently purified and refolded. This technique yielded an active murine IL-5 dimer as confirmed by TF-1 cell proliferation assays. The protein was crystallized and the structure of mIL-5 could be determined at 2.5Å resolution. The molecular structure revealed a symmetrical left-handed four helices bundle dimer similar to human IL-5. Analysis of the structure-/function relationship allowed us to design specific mIL-5 antagonist molecules, which are still under examination. Taken together, these findings provide further insights in the IL-5 and IL-5R interaction which may help to further understand and depict this and other cytokine-receptor interactions of similar architecture, e.g. the IL-13 ligand-receptor system. Ultimately, this may represent another piece of puzzle in the attempts to rationally design and engineer novel IL-5-related pharmacological therapeutics.