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The Transforming Growth Factor (TGF) superfamily of cytokines and their serine/threonine kinase receptors play an important role in the regulation of cell division, differentiation, adhesion, migration, organization, and death. Smad proteins are the major intracellular signal transducers for the TGF receptor superfamily that mediate the signal from the membrane into the nucleus. Bone Morphogenetic Protein-4 (BMP-4) is a representative of the TGF superfamily, which regulates the formation of teeth, limbs and bone, and also plays a role in fracture repair. Binding of BMP-4 to its receptor stimulates phosphorylation of Smad1, which subsequently recruits Smad4. A hetero-oligomeric complex consisting of Smad1 and Smad4 then translocates into the nucleus and regulates transcription of target genes by interacting with transcription factors. Although the individual steps of the signaling cascade from the receptor to the nucleus have been identified, the exact kinetics and the rate limiting step(s) have remained elusive. Standard biochemical techniques are not suitable for resolving these issues, as they do not offer sufficiently high sensitivity and temporal resolution. In this study, advanced optical techniques were used for direct visualization of Smad signaling in live mammalian cells. Novel fluorescent biosensors were developed by fusing cyan and yellow fluorescent proteins to the signaling molecules Smad1 and Smad4. By measuring Fluorescence Resonance Energy Transfer (FRET) between the two fluorescent proteins, the kinetics of BMP/Smad signaling was unraveled. A rate-limiting delay of 2 - 5 minutes occurred between BMP receptor stimulation and Smad1 activation. A similar delay was observed in the complex formation between Smad1 and Smad4. Further experimentation indicated that the delay is dependent on the Mad homology 1 (MH1) domain of Smad1. These results give new insights into the dynamics of the BMP receptor – Smad1/4 signaling process and provide a new tool for studying Smads and for testing inhibitory drugs.
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.