1,720,961 research outputs found
Analysis of microarray and RNA-sequencing gene expression profiles through clustering and classification techniques
No full textMitochondrial Genome Profile in Demyelinating Diseases
No full textMultiple sclerosis and neuromyelitis optica are chronic inflammatory diseases of the central nervous system.
These pathologies share clinical similarities with Leber hereditary optic neuropathy, which is primarily due to mutations
of mitochondrial DNA. Mitochondrial genetic variations may influence susceptibility to develop multiple sclerosis and
neuromyelitis optica. In order to explore the possible correlation between mitochondrial DNA specific patterns and
demyelinating diseases involving central nervous system, mitochondrial DNA from 13 patients with relapsing-remitting
multiple sclerosis, 4 patients with neuromyelitis optica, 1 patient with myelitis, 2 patient with optic neuritis, and 7
healthy controls were analyzed by sequencing the full length 16 Kbs of the mitochondrial DNA genome. Common
variants presence in healthy controls and patients showing no clinical impact on diseases development were not
further explored. Analyzing 414 patient specific variants, six nonsense mutations, causing early stop-codon formation,
and nine previously described variants, associated with demyelinating/degenerative disease of central nervous
system were identified. Some of these variants are linked to disease development through known and previously
described mechanisms. We report for the first time other truncating mutations leading to incomplete proteins involved
in Oxidative Phosporilation complexes and we speculate their role in demyelinating diseases developmen
Characterization of an EMT intermediate phenotype associated to resistance to EGFR inhibitors in non small cell lung cancer cell lines
No full textEpithelial-mesenchymal transition (EMT) plays a critical role in development and adult tissue homeostasis as well as in cancer progression. Lung cancer is the leading cause of cancer related deaths worldwide with non-small cell lung cancer (NSCLC) being the predominant form of the disease. Approximately 10-30% of NSCLC patients have activating mutations in the epidermal growth factor receptor gene (EGFR). Targeting EGFR in these patients has shown initial and significant success in the clinic although acquired resistance invariably develops. Increasing evidence points to a key role played by EMT in cancer progression and drug resistance.
In this study, we used wet and in silico approaches to investigate whether the EMT phenotype was associated to ERL-resistance in a NSCLC cellular model system. The combination of different analysis techniques allowed us to describe intermediate and complete EMT phenotypes respectively in HCC827- and HCC4006-derived ERL-resistant cell lines. Interestingly, EMT intermediate phenotypes and collective cell migration features associated to resistance to target therapy in all ERL-resistant HCC827 derived cell lines. Moreover, the use of 3 complementary approaches for gene expression analysis supported the identification of a small interesting EMT-related gene list, which should be otherwise overlooked by standard stand-alone methods for gene expression analysis
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
No full textWe 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
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