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This chapter summarised current knowledge on thymic senescence, a central immune tissue that suffers significant morphological changes and functional impairment during ageing. The epithelial network is in focus that provides the niche for developing thymocytes until adipose involution begins. We have discussed physiological thymic epithelial senescence in detail with respect to the signalling pathways involved in the process (Kvell et al. 2010). It has also been shown that steroid induced accelerated rate thymic epithelial senescence quite resembles physiological rate senescence (except for its speed) at the molecular level (Talaber et al. 2011). The data presented confirm that Wnt4 can efficiently rescue thymic epithelial cells from steroid-induced adipose involution at the molecular level (Talaber et al. 2011). Since physiological and steroid-induced thymic epithelial senescence are identical at the molecular level, it is anticipated that sustained Wnt4 presence in the thymic context can efficiently prolong FoxN1 expression, maintain thymic epithelial identity and prevent transdifferentiation towards adipocyte lineage. The same works identify LAP2[alpha] as a pro-ageing molecular factor promoting the trans-differentiation of thymic epithelial cells into preadipocytes via EMT. The thymus selective decrease of LAP2[alpha] activity through small molecule compounds could theoretically shift the delicate molecular balance towards the same direction as increased Wnt4 presence.

Cellular signal transduction. --- Cellular signal transduction --- Research.

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'Cell Surface GRP78, a New Paradigm in Signal Transduction Biology' presents a new paradigm that has emerged in the past decade with the discovery that various intracellular proteins may acquire new functions as cell surface receptors. Two very prominent examples are ATP synthase and GRP78. While the role of cell surface ATP synthase has been reviewed in various books, this book directs its attention to the story of cell surface GRP78.

Cellular signal transduction.

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Biological pathways, such as signaling networks, are a key component of biological systems of each living cell. In fact, malfunctions of signaling pathways are linked to a number of diseases, and components of signaling pathways are used as potential drug targets. Elucidating the dynamic behavior of the components of pathways, and their interactions, is one of the key research areas of systems biology. Biological signaling networks are characterized by a large number of components and an even larger number of parameters describing the network. Furthermore, investigations of signaling networks are characterized by large uncertainties of the network as well as limited availability of data due to expensive and time-consuming experiments. As such, techniques derived from systems analysis, e.g., sensitivity analysis, experimental design, and parameter estimation, are important tools for elucidating the mechanisms involved in signaling networks. This Special Issue contains papers that investigate a variety of different signaling networks via established, as well as newly developed modeling and analysis techniques.

Cellular signal transduction.

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Cellular telephone is an example of a new product that has significantly affected how Americans live. Since their introduction in 1983, cellular telephone adoption has grown at 25-35% per year such that at year end 1996 about 42 million cellular telephones are in use in the U.S. However, cellular telephone has not been included in the construction of the CPI, and the CPI will not include cellular telephone until 1998 or 1999. This neglect of new goods leads to an upward bias in the CPI. The analysis of the paper demonstrates that the gains in consumer welfare from a new product such as cellular telephone can be substantial. The paper also gives an approximation result which the BLS could use to calculate gains in consumer welfare from new products for use in the CPI. The BLS telecommunications CPI estimates that since 1988, telecommunications prices have increased by 8.5% or an increase of 1.02% per year. This estimate ignores cellular service. A corrected telecommunication services COLI that includes cellular service decreased from 1.0 in 1988 to 0.903 in 1996 for a decrease of 1.28% per year. Thus, the bias in the BLS telecommunications services CPI equals approximately 2.3 percentage points per year. The neglect of new products in the CPI can lead to significant biases.

Cellular signal transduction

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Cellular signal transduction