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Huntington's disease results from a mutation in the HD gene encoding for the protein huntingtin. The function of huntingtin, although beginning to be elucidated, remains largely unclear. To probe the prosurvival function of huntingtin, we modulate levels of wild-type huntingtin in a number of cellular and in vivo models. Huntingtin depletion resulted in(More)
Huntington's disease (HD) is an autosomal-dominant neurodegenerative disorder caused by a poly-glutamine expansion in huntingtin, the protein encoded by the HD gene. PolyQ-expanded huntingtin is toxic to neurons, especially the medium spiny neurons of the striatum. At the same time, wild-type huntingtin has important - indeed essential - protective(More)
Caspase-1 plays a role in the pathogenesis of a variety of neurological diseases. Caspase-1 activation is an early event in models of Huntington's disease (HD). However, mechanisms regulating the activation of this apical caspase in cell death are not known. Receptor interacting protein-2 (Rip2) and caspase recruitment domain (CARD) only protein (Cop) are(More)
Huntington's disease (HD) is caused by a mutation in the gene encoding for huntingtin resulting in selective neuronal degeneration. Because HD is an autosomal dominant disorder, affected individuals have one copy of the mutant and one copy of the wild-type allele. Huntingtin has antiapoptotic properties and is critical for cell survival. However, the(More)
—Due to its reduced communication overhead and ro-bustness to failures, distributed energy management is of paramount importance in smart grids, especially in microgrids, which feature distributed generation (DG) and distributed storage (DS). Distributed economic dispatch for a microgrid with high renewable energy penetration and demand-side management(More)
Caspases play an important role in neurodegeneration in Huntington's disease (HD). Members of the Bcl-2 family are critical modulators of terminal cell death pathways. However, alterations of Bcl-2 family members and their functional role in an in vivo model of HD have not been documented. With the goal of gaining mechanistic insight, we used a transgenic(More)
Through spatial multiplexing and diversity, multi-input multi-output (MIMO) cognitive radio (CR) networks can markedly increase transmission rates and reliability, while controlling the interference inflicted to peer nodes and primary users (PUs) via beamforming. The present paper optimizes the design of transmit- and receive-beamformers for ad hoc CR(More)
The smart grid vision entails advanced information technology and data analytics to enhance the efficiency, sustainability, and economics of the power grid infrastructure. Aligned to this end, modern statistical learning tools are leveraged here for electricity market inference. Day-ahead price forecasting is cast as a low-rank kernel learning problem.(More)
—To achieve the goal of high wind power penetration in future smart grids, economic energy management accounting for the stochastic nature of wind power is of paramount importance. Multi-period economic dispatch and demand-side management for power systems with multiple wind farms is considered in this paper. To address the challenge of intrinsically(More)