15 research outputs found

    Nucleophosmin/NPM1のがん化機能の解明

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    筑波大学 (University of Tsukuba)201

    Efficient DNA binding of NF-κB requires the chaperone-like function of NPM1

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    NPM1/nucleophosmin is frequently overexpressed in various tumors, although the oncogenic role of NPM1 remains unclear. Here we revealed the link between NPM1 and nuclear factor-κB (NF-κB), a master regulator of inflammation. We found that NPM1 knockdown decreased NF-κB-mediated transcription of selected target genes by decreasing the recruitment of NF-κB p65 to the gene promoters. NPM1 is directly associated with the DNA binding domain of p65 to enhance its DNA binding activity without being a part of the DNA–NF-κB complex. This result suggests that NF-κB requires the chaperone-like function of NPM1 for DNA binding. Furthermore, we demonstrated that NPM1 was required for efficient inflammatory gene expression induced by tumor necrosis factor alpha (TNF-α) and lipopolysaccharide in fibroblasts and macrophages. The NF-κB-mediated invasion of breast cancer cells was significantly decreased by NPM1 knockdown. Our study suggests a novel mechanistic insight into the NF-κB-mediated transcription and an oncogenic role of NPM1 in both tumor cells and the tumor micro-environment through the regulation of NF-κB

    The Research on Characteristics of E-Commerce Enterprises’ Knowledge Workers and Their Motivating Factors

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    With the development of the Internet,e-commerce enterprises spring up like the mushrooms.To a large extent, it depends on the knowledge workers who possess the three knowledge management systems——IT technology, network management technology and industry.The current study surveyed major studies on the characteristics of and motivating factors for e-commerce enterprises’ knowledge workers, both in the USA and in China. Comparisons were made between studies in the two countries, and new perspectives were offered on the motivating factors for knowledge workers. Future research directions were proposed

    Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models

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    Data-Driven Scene Understanding with Adaptively Retrieved Exemplars

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