1,720,961 research outputs found
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Energy balance effects on microRNA expression in a mouse model of pancreatic cancer
textPancreatic cancer is the fourth leading cause of cancer death in the United States, with a five-year survival rate under 5%. Given the disease’s deadliness, increasing our understanding of the molecular nature of the pancreatic cancer is key to developing more effective preventive measures and treatments. Dietary energy restriction (DER) has been shown to have potent anticancer effects in pancreatic cancer, but the mechanism of action has yet to be completely elucidated. Here we investigate the potential of altered microRNA expression as a mechanism by which DER exerts its anticancer effect. Using the Exiqon microRNA Array, we identified several microRNAs of interest for further study. This includes microRNA (mir) 669c, a known regulator of glutathione-S transferases (linked to carcinogen metabolism and oxidative stress) that increases with age. To our knowledge, this is the first exploration of the effects of DER (which is known to suppress oxidative stress and other processes associated with aging and cancer) on microRNA expression. These findings may provide the initial steps towards identifying novel targets for pancreatic cancer prevention or treatment.Institute for Cellular and Molecular Biolog
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The effect of obesity on postmenopausal mammary tumor growth and differentiation is p53-dependent
textThe adult prevalence of obesity in the United States exceeds 30% and obesity is associated with increased cancer risk and poor prognosis, including postmenopausal breast cancer. p53 is a tumor suppressor gene that responds to diverse cellular stress including DNA damage, oxidative stress and hypoxia. p53 is mutated in most human cancers, including postmenopausal breast cancer, and is involved in the regulation of lipogenic enzymes. However, the links between p53 and obesity in postmenopausal breast cancer are poorly understood. Here we test the hypothesis that the effect of obesity on mammary tumor growth is impacted by p53 status. The aim of this study was to determine how p53-deficient mammary tumor cells (relative to p53 wild-type cells) respond to obesity-driven tumor growth. To test this hypothesis, we used ovariectomized (OVX) C57BL/6 mice randomized to a control diet (n=40) or a diet-induced obesity (DIO) regimen (n=40) for 10 weeks. At the time, DIO mice were approximately 40% heavier (p<0.001) and had 45% greater adiposity (p<0.001) than control mice. Mice were then injected (in the 4th mammary fat pad) with either p53-deficient (p53+/-) or p53 wild-type (p53+/+) MMTV-Wnt-1 mammary tumor cells. Mice were monitored for tumor growth, killed when moribund, and tumors were collected at study end point. We found an interaction between diet and p53 status, with p53+/+ Wnt-1 tumors grown in DIO mice developing the more aggressive morphology compared to p53+/+ Wnt tumors in control mice while the observation was not seen in p53+/- Wnt tumors. From histopathological analysis we also discovered that the DIO regimen promotes local invasion of mammary tumor cells and alters the morphology of MMTV-Wnt-1 p53+/+ mammary tumors. Specifically, p53+/+ Wnt tumors grown in DIO mice displayed disorganized ductal structures characteristic of p53+/- tumors grown in control mice, and DIO exacerbated this aberrant morphology in p53+/- Wnt tumors. Moreover, immunohistological analyses showed that DIO reduces p53 protein expression while elevating Ki-67 expression only in the p53+/+ Wnt mammary tumors. These results suggest that p53 and DIO have interactive effects on mammary tumor growth, as p53+/+ Wnt tumors growing in DIO mice resulted in higher tumor grade similar to p53+/- Wnt tumors.Nutritional Science
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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