1,721,037 research outputs found
Proteomic approaches by SELDI and MALDI-TOF/MS for CTL analysis
No full textExtracellular stimuli activate, on target cells, a number of signal transduction processes regulating gene expression and the function and/or synthesis of the proteins. In order to highlight the slight changes of the quantity and quality of the proteome it is essential to optimize preparative strategies able to improve the signals of the less expressed proteins and to standardize the use of high-throughput techniques useful to detect them. We describe a complete workflow useful to enrich, from PBMC protein extracts and extrapolated to their subpopulations, the low-molecular-weight proteins and peptides and to detect them by SELDI-TOF protein profiling. The described protocol can also be applied to MALDI-TOF/MS instruments in order to obtain fast, reproducible, and high-quality protein profiles
Two-dimensional gel electrophoresis approach for CTL phosphoproteome analysis.
No full textPhosphorylation of proteins plays a pivotal role in signal transduction processes, and it is a key regulator of many biological cell functions. Various strategies have been proposed for the study of phosphoproteome; most of them require a multi-step analysis and sophisticated equipment. Here we describe the two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) analysis of PBMC phosphoproteome using as preliminary enrichment step a simple phosphoprotein isolation by lanthanum chloride. This strategy can be most certainly applied to study the phosphoproteome of CTLs isolated from PBMCs. The phosphoproteome analysis of PBMCs, as well as of CTLs, may help to reveal the signaling pathways essential to their biological role in health and disease
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
Erratum to: Proteomics and diabetic nephropathy: what have we learned from a decade of clinical proteomics studies?
No full textDiabetic nephropathy (DN) has become the most frequent cause of chronic kidney disease worldwide due to the constant increase of the incidence of type 2 diabetes mellitus in developed and developing countries. The understanding of the pathophysiological mechanisms of human diseases through a large-scale characterization of the protein content of a biological sample is the key feature of the proteomics approach to the study of human disease. We discuss the main results of over 10 years of tissue and urine proteomics studies applied to DN in order to understand how far we have come and how far we still have to go before obtaining a full comprehension of the molecular mechanisms involved in the pathogenesis of DN and identifying reliable biomarkers for accurate management of patients
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