35 research outputs found

    Three-Dimensional Neurophenotyping of Adult Zebrafish Behavior

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    The use of adult zebrafish (Danio rerio) in neurobehavioral research is rapidly expanding. The present large-scale study applied the newest video-tracking and data-mining technologies to further examine zebrafish anxiety-like phenotypes. Here, we generated temporal and spatial three-dimensional (3D) reconstructions of zebrafish locomotion, globally assessed behavioral profiles evoked by several anxiogenic and anxiolytic manipulations, mapped individual endpoints to 3D reconstructions, and performed cluster analysis to reconfirm behavioral correlates of high- and low-anxiety states. The application of 3D swim path reconstructions consolidates behavioral data (while increasing data density) and provides a novel way to examine and represent zebrafish behavior. It also enables rapid optimization of video tracking settings to improve quantification of automated parameters, and suggests that spatiotemporal organization of zebrafish swimming activity can be affected by various experimental manipulations in a manner predicted by their anxiolytic or anxiogenic nature. Our approach markedly enhances the power of zebrafish behavioral analyses, providing innovative framework for high-throughput 3D phenotyping of adult zebrafish behavior

    Cdk5 Is Required for Memory Function and Hippocampal Plasticity via the cAMP Signaling Pathway

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    Memory formation is modulated by pre- and post-synaptic signaling events in neurons. The neuronal protein kinase Cyclin-Dependent Kinase 5 (Cdk5) phosphorylates a variety of synaptic substrates and is implicated in memory formation. It has also been shown to play a role in homeostatic regulation of synaptic plasticity in cultured neurons. Surprisingly, we found that Cdk5 loss of function in hippocampal circuits results in severe impairments in memory formation and retrieval. Moreover, Cdk5 loss of function in the hippocampus disrupts cAMP signaling due to an aberrant increase in phosphodiesterase (PDE) proteins. Dysregulation of cAMP is associated with defective CREB phosphorylation and disrupted composition of synaptic proteins in Cdk5-deficient mice. Rolipram, a PDE4 inhibitor that prevents cAMP depletion, restores synaptic plasticity and memory formation in Cdk5-deficient mice. Collectively, our results demonstrate a critical role for Cdk5 in the regulation of cAMP-mediated hippocampal functions essential for synaptic plasticity and memory formation.Norman B. Leventhal FellowshipUnited States. National Institutes of Health (NIH T32 MH074249)United States. National Institutes of Health (NIH RO1 NS051874

    Enacting molecular complexity : data and health in the metabonomics laboratory

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    In this dissertation, I examine how biological data practices enable researchers to interact with and enact biological life in statistical ways, and how this poses challenges to the use and integration of biological knowledge with clinical practices. Instead of considering data as a pre-existing cognitive representation of the world, I combine scholarship on the anthropology of science with scholarship from science and technology studies to consider data as a form of material practice. I consider, in other words, how data is intertwined with technologies, people, and values, such that data is used to make normative and naturalized claims about biology and disease. To explore the generation, interpretation, and use of biological data, I focus on the field of “metabonomics”—the post-genomic study of metabolism—as it is carried out within the Biomolecular Medicine Laboratory (BMM) at Imperial College London. In doing so, I examine how metabonomics researchers use biochemical techniques and multivariate statistics to investigate metabolism and disease. After providing an overview of the literature, central questions, and methodology that frame this dissertation, I examine how multivariate statistical practices are central to the historical identity and epistemic culture of metabonomics research at the BMM. From there, I demonstrate how multivariate statistics require and enable metabonomics to enact metabolism as an inherently complex entity. Consequently, I examine how researchers struggle to assign the categories of “normal” and “abnormal” to dynamic notions of metabolism and health. I then explore how the translation of metabonomics knowledge into clinical practices places value on multivariate forms and large volumes of information, eclipsing the importance of human interpretation and judgment. Finally, I examine how metabonomics research is used to develop personalized medicine, but in ways that make it difficult to address the health of individual patients.</p
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