1,721,045 research outputs found

    Control of the immune system by oxysterols and cancer development

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    Oxysterols/oxysterol receptors have been shown to modulate several immune cell subsets, such as macrophages, T-cells and B-cells, neutrophils and dendritic cells (DCs). They participate in the control of several pathologic processes, that is, infectious diseases, atherosclerosis and autoimmunity. Moreover, some oxysterols have also been shown to favor tumor progression by dampening the antitumor immune response. The cellular responses generated by oxysterols depend on the engagement of Liver X Receptor (LXR) α and/or β isoforms, which induce activation of target genes or trans-repression of pro-inflammatory gene transcription. Recently, some reports have described a different mechanism of action of oxysterols, mediated by the engagement of G-Protein Coupled Receptors. Here, we summarize LXR-dependent and LXR-independent responses of oxysterols on immune cells with possible effects on tumor development. © 2012 Elsevier Ltd. All rights reserved

    LXR-dependent and -independent effects of oxysterols on immunity and tumor growth.

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    Oxysterols are involved in maintaining cellular cholesterol levels. Recently, oxysterols have been demonstrated to modulate the function of immune cells and tumor growth. These effects can be dependent on the activation of the oxysterol-binding liver X receptors (LXRs) or, as recently demonstrated for T and B cells, DCs and neutrophils, can be independent of LXR activation. LXR-dependent oxysterol effects can be ascribed to the activation of LXRα, LXRβ or LXRαβ isoforms, which induces transcriptional activation or trans-repression of target genes. The prevalent activation of one isoform seems to be cell-, tissue-, or context-specific, as shown in some pathologic processes, i.e., infectious diseases, atherosclerosis, and autoimmunity. Oxysterol-LXR signaling has recently been shown to inhibit antitumor immune responses, as well as to modulate tumor cell growth. Here, we review the mechanisms that link oxysterols to tumor growth, and discuss possible networks at the basis of LXR-dependent and -independent oxysterol effects on immune cells and tumor development

    Oxysterols recruit tumor-supporting neutrophils within the tumor microenvironment: The many facets of tumor-derived oxysterols

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    By binding to the liver X receptor (LXR), oxysterols inhibit the expression of chemokine (C-C motif) receptor 7 (CCR7), hence impairing the migration of dendritic cells to secondary lymphoid organs and inhibiting antitumor immune responses. We have recently identified a new tumor-supporting activity of oxysterols, which recruit neutrophils within tumor microenvironment by a chemokine (C-X-C motif) receptor 2 (CXCR2)-dependent, LXR-independent mechanism. © 2013 Landes Bioscience

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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