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RS1, a gene product of RSC1A1, is critically involved in cell density-dependent transcriptional down-regulation of SGLT1 in LLC-PK1 cells and in the post-transcriptional down-regulation of SGLT1 in small intestine. RS1 inhibits the release of SGLT1 containing vesicles from the trans-Golgi network and migrates into the nucleus where it inhibits transcription of SGLT1. In the present work we identified a novel 21 amino acids-long nonconventional nuclear localization sequence (RS1 NLS) in porcine RS1 (pRS1) that is necessary and sufficient for nuclear targeting of pRS1. RS1 NLS is framed by two consensus sequences for phosphorylation which are responsible for confluence-dependent regulation of RS1 NLS: a casein kinase 2 (CK2) site in position 348 and a protein kinase C (PKC) site in position 370. Confluence-dependent nuclear targeting was observed with amino acids 342-374 (R-NLS-Reg). Mutation analysis suggested that nuclear targeting is blocked by phosphorylation of serine 370 (PKC) and that phosphorylation of serine 348 (CK2) prevents phosphorylation of serine 370. Because CK2 is down-regulated and PKC is up-regulated during confluence of LLC-PK1 cells, our data suggest that nuclear localization coordinates cell density-dependent changes in transcriptional and post-transcriptional inhibition of SGLT1 expression.
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.
Charakterisierung der Mikrostruktur und der Permeationseigenschaften von Polysiloxan-Netzwerken
(2005)
Ziel dieser Arbeit war es, die Permeationseigenschaften von Polysiloxan-Membranen im Hinblick auf ihre definierte Mikrostruktur näher zu analysieren. Es konnte gezeigt werden, dass die Mikrostruktur der Membranen einen statistisch signifikanten Einfluss auf die Permeationsgeschwindigkeit der untersuchten Substanzen hat. Zum besseren Verständnis der Permeation wurden auch die Diffusionsvorgänge innerhalb der Membran untersucht. Durch den Einsatz der Konfokalen Raman-Spektroskopie ist es gelungen, den Aufbau eines Konzentrationsgradienten innerhalb der Membran zu zeigen. Weiterhin konnte der Einfluss der Mikrostruktur der Membranen auf die Geschwindigkeit des Aufbaus dieses Gradienten nachgewiesen werden.