26 research outputs found

    Genome-wide expression profiling of the retinoschisin-deficient retina in early postnatal mouse development

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    purpose. The Rs1h knockout mouse displays retinal features typical for X-linked juvenile retinoschisis (RS). Consequently, this mouse line represents an excellent model to study early molecular events in RS. methods. Whole genome expression profiling using DNA-microarrays was performed on total RNA extracts from retinoschisin-deficient and wild-type murine retinas from postnatal days 7, 9, 11, and 14. Quantitative real-time RT-PCR (qRT-PCR) analysis of additional time points facilitated the refinement of the temporal expression profile of differentially regulated transcripts. Differential protein expression was confirmed by Western blot analysis. results. Based on biostatistic and knowledge-based DNA-microarray analyses we have identified differentially regulated retinal genes in early postnatal stages of the Rs1h-deficient mouse defining key molecular pathways including adhesion, cytoskeleton, vesicular trafficking, and immune response. A significant upregulation of Egr1 at P11 and several microglia/glia-related transcripts starting at P11 with a peak at P14 were identified in the diseased retina. The results provided evidence that macrophage/microglia activation precedes apoptotic photoreceptor cell death. Finally, the role of Egr1 in the pathogenesis of Rs1h-deficiency was investigated, and the results indicated that activation of the MAPK Erk1/2 pathway occurs as early as P7. Analyses of Rs1h −/Y /Egr1 −/− double-knockout mice suggest that Egr1 upregulation is not a prerequisite for macrophage/microglia activation or apoptosis. conclusions. The findings imply that microglia/glia activation may be triggering events in the photoreceptor degeneration of retinoschisin-deficient mice. Furthermore, the data point to a role of Erk1/2-Egr1 pathway activation in RS pathogenesis

    Ensemble representation of catalytic interfaces: soloists, orchestras, and everything in-between.

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    Catalytic systems are complex and dynamic, exploring vast chemical spaces on multiple timescales. In this perspective, we discuss the dynamic behavior of fluxional, heterogeneous thermal and electrocatalysts and the ensembles of many isomers which govern their behavior. We develop a new paradigm in catalysis theory in which highly fluxional systems, namely sub-nano clusters, isomerize on a much shorter timescale than that of the catalyzed reaction, so macroscopic properties arise from the thermal ensemble of isomers, not just the ground state. Accurate chemical predictions can only be reached through a many-structure picture of the catalyst, and we explain the breakdown of conventional methods such as linear scaling relations and size-selected prevention of sintering. We capitalize on the forward-looking discussion of the means of controlling the size of these dynamic ensembles. This control, such that the most effective or selective isomers can dominate the system, is essential for the fluxional catalyst to be practicable, and their targeted synthesis to be possible. It will also provide a fundamental lever of catalyst design. Finally, we discuss computational tools and experimental methods for probing ensembles and the role of specific isomers. We hope that catalyst optimization using chemically informed descriptors of ensemble nature and size will become a new norm in the field of catalysis and have broad impacts in sustainable energy, efficient chemical production, and more

    Ensemble representation of catalytic interfaces: soloists, orchestras, and everything in-between

    No full text
    Catalytic systems are complex and dynamic, exploring vast chemical spaces on multiple timescales. In this perspective, we discuss the dynamic behavior of heterogeneous thermal and electrocatalysts and the ensembles of many isomers which govern their behavior. We develop a new paradigm in catalysis theory in which highly fluxional systems, such as supported sub-nano clusters, isomerize on a much shorter timescale than that of the catalyzed reaction, so macroscopic properties arise from the thermal ensemble of isomers, not just the ground state. Accurate chemical predictions can only be reached through a many-structure picture of the catalyst, and we explain the breakdown of conventional methods such as linear scaling relations and size-selected prevention of sintering. We capitalize on the forward-looking discussion of the means of controlling the size of these dynamic ensembles. This control, such that the most effective or selective isomers can dominate the system, is essential for the fluxional catalyst to be practicable, and their targeted synthesis to be possible. It will also provide a fundamental lever of catalyst design. Finally, we discuss computational tools and experimental methods for probing ensembles and the role of specific isomers. We hope that catalyst optimization using chemically informed descriptors of ensemble nature and size will become a new norm in the field of catalysis and have broad impacts in sustainable energy, efficient chemical production, and more
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