1,722,430 research outputs found

    Tumor growth of HCT116 variants resistant to either VX680 or MK-8745.

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    <p>Parental and VX680/MK-8745-resistant HCT116 Puma(-) cells, parental and MK-8745-resistant HCT116 Bax(-) cells, parental and MK-8745-resistant HCT116 p53(-) cells, parental and MK-8745-resistant HCT116 p21(-) cells, parental and MK-8745-resistant HCT116 Chk2(-) cells were transplanted into nude mice. Size of developed tumors was monitored every other day. Five mice per cell type were used, and experiments were repeated at least two times. Statistical analysis was determined by the 2 way ANOVA analysis.</p

    Anti-proliferative effects of VX680 or MK-8745 in vivo.

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    <p>Each of the indicated HCT116 variants was transplanted into both flanks of a mouse. When tumor size reached at 200–400 mm3, VX680 or MK-8745 (800 nM) was injected into one of the developed tumors per mouse. Tumor size was measured every day. Total five mice were used for these studies in two independent experiments. Statistical analysis was determined by the 2 way ANOVA analysis.</p

    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

    MK-8745-resistant HCT116 variants undergo apoptosis when treated with inhibitors of mTOR and Akt.

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    <p>MK-8745-resistant HCT116 p53(-), Chk2(-) and p21(-) cells were treated with Akt inhibitor VIII (210 nM) and mTOR inhibitor Pp242 (8 nM) for 24 h, followed by Annexin V staining. Statistical analysis was determined by the Student's <i>t</i>-test (p<0.05).</p

    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

    Abstract 1642: Preclinical studies of MK-8745: Correlation between Aurora-A inhibitor sensitivity and Aurora-A activator

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    Abstract Selective small-molecule kinase inhibitors have emerged as an important class of anti-cancer agents, and have demonstrated encouraging clinical efficacy in several different malignancies. However, it has become clear that the clinical activity of these agents is typically limited to a subset of patients, indicating the need to develop a clear understanding of the various factors that influence clinical benefit. To date, most studies have identified cancer patients whose tumors have genetic alterations of the targeted kinase and have demonstrated their greatest clinical efficacy for the kinase inhibitors. However, recent drug discovery efforts are also being aimed at targeting kinases within oncogene-associated signaling pathways and the pathway-specific determinants of sensitivity. Aurora-kinase family members (Aurora kinases -A, B, C) have been implicated as key mitotic regulators essential for genomic stability. Aurora kinase A (AURKA) is highly expressed in multiple human cancers and has been shown to be a promising therapeutic target. In this study, we examined the effects of small molecule AURKA specific inhibitor MK-8745 on non-Hodgkin lymphoma (NHL) cells. Our results indicate that MK-8745 treatment leads to cell cycle arrest at G2/M phase with accumulation of tetraploid DNA followed by mitotic catastrophe and cell death in five cell lines (Granta 519, Jeko1, JVM2, Z138C and Akata). More importantly, we found that the sensitivity of the cell to the AURKA inhibitor is strongly correlated to the expression level of AURKA activators. We found that siRNA knockdown of one of the AURKA activators TPX2 increased MK-8745 sensitivity in drug resistant cell lines (Granta 519), whereas overexpression of TPX2 in MK-8745 sensitive cell (Z138C) lines increased drug resistance. This differential drug-sensitivity is specific to MK-8745 since treatment with pan-Aurora inhibitor (VE465, inhibitor of Aurora-A, B and C) and another mitotic drug, Taxol, did not show a differential sensitivity in these cell lines. The AURKA phosphorylation was decreased by MK-8745 treatment with simultaneous reduction in endogenous AURKA substrate TPX2, Eg5 and TACC3 protein levels. Our results suggest, beside p53, AURKA activators should be potential biomarkers for selecting subpopulations of patients for AURKA inhibitor treatment, while AURKA substrates can be the potential biomarkers for the effect of Aurora-A inhibitor treatment. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1642.</jats:p

    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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