Publications by authors named "Thomas Scheel"

We investigate the formation and transport of gas bubbles across a model porous electrode/catalyst using lattice Boltzmann simulations. This approach enables us to systematically examine the influence of a wide range of morphologies, flow velocities, and reaction rates on the efficiency of gas production. By exploring these parameters, we identify critical parameter combinations that significantly contribute to an enhanced yield of gas output.

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The effect of Atorvastatin on transcriptional activity in murine experimental autoimmune encephalomyelitis (EAE) induced by PLP peptide 139-151 was analyzed by DNA microarray technique in lymph nodes and spinal cord at onset (10 days), height (20 days) and first remission (30 days) of disease. Fourteen genes were selectively influenced by Atorvastatin in EAE mice. They are mainly related to immune cell functions and regulation of cell-to-cell interaction.

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Article Synopsis
  • Scientists face financial constraints when designing microarray experiments and often consider pooling samples, but this can lead to suboptimal results.
  • A study analyzed data from complete pooling experiments in rat brain tissue to see if pooled samples accurately reflect individual samples, especially in smaller experiments.
  • The findings indicated that while similar trends were seen within experimental groups, pooled samples failed to adequately represent individual gene expression for more than half the genes examined, particularly when pooling less than six subjects.
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Microarray gene expression analysis is a powerful high-throughput technique that enables researchers to monitor the expression of thousands of genes simultaneously. Using this methodology huge amounts of data are produced which have to be analysed. Clustering algorithms are used to group genes together based on a predefined distance measure.

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