1,720,960 research outputs found
Stochastic modelling of PTEN regulation in brain tumors: a model for Glioblastoma Multiforme
Full text linkThis work is the outcome of the partnership between the mathema-
tical group of Department DISBEF and the biochemical group of Department
DISB of the University of Urbino Carlo Bo"in order to better understand
some crucial aspects of brain cancer oncogenesis. Throughout our collabora-
tion we discovered that biochemists are mainly attracted to the instantaneous
behaviour of the whole cell, while mathematicians are mostly interested in the
evolution along time of small and dierent parts of it. This collaboration has
thus been very challenging. Starting from [23, 24, 25], we introduce a compe-
titive stochastic model for post-transcriptional regulation of PTEN, including
interactions with the miRNA and concurrent genes. Our model also covers
protein formation and the backward mechanism going from the protein back
to the miRNA. The numerical simulations show that the model reproduces the
expected dynamics of normal glial cells. Moreover, the introduction of transla-
tional and transcriptional delays oers some interesting insights for the PTEN
low expression as observed in brain tumor cells
Ubiquitin C gene: Structure, function, and transcriptional regulation
No full textUbiquitin C (UbC) is one of the four genes encoding for ubiquitin in the mammalian genome. It has been described as the most responsive gene to cellular treats such as UV irradiation, heat shock, oxidative stress and translational impairment; it was also re- ported to contribute to maintaining ubiquitin steady state levels under physiological conditions. Despite the bulk of knowledge concerning its function, little is known about the molecular mechanisms modulating UbC expression. Here we review the state of the art of UbC structure, function and transcriptional regula- tion. Starting from the first evidences which circum- scribed the genomic region, pointing out both basic promoter marks (such as transcription start site and TATA-like element), and transcript structure (exon- intron boundaries) we go through more detailed mo- lecular studies performed by Marinovic in 2002 and by Bianchi et al. in 2009 and 2013. Herein, the key players orchestrating UbC gene basal activity are underlined
Dynamic transcription of ubiquitin genes under basal and stressful conditions and new insights into the multiple UBC transcript variants
Full text linkUbiquitin (Ub) is a small 76-amino acid protein that is engaged in many different pathways within the cell, including protein turnover. During proteotoxic stress, when the demand of clearing damaged/misfolded proteins strongly increases, cells activate Ub gene transcription to face the need of extra ubiquitin. This paper shows the contribution of the four ubiquitin coding genes (UBB, UBC, UBA52, RPS27A) to the ubiquitin RNA pool under basal and stressful conditions. Our results reveal that UBC and RPS27A represent the major fraction of the Ub transcriptome in different cell lines, but when converted to the coding potential, polyubiquitin genes UBC and UBB mainly contribute to determine the intracellular ubiquitin content under basal conditions. Both the polyubiquitin genes UBB and UBC are upregulated upon proteasome inhibition and oxidative stress, with markedly higher responses from the UBC promoter. A similar output, with lower fold-inductions, is detected in heat-stressed cells, with UBC acting as the main contributor to thermotolerance. By contrast, upon these stressors, the levels of UBA52 and RPS27A mRNAs remain unchanged. Remarkably, UV irradiation fails to induce Ub gene transcription, but rather seems to act at the post-transcriptional level, by stabilizing ubiquitin mRNAs at UV doses which induce rapid degradation of other RNA molecules. Moreover, the evidence that the UBC core promoter contains multiple transcription start sites and their responsiveness to stress, is here reported for the first time
Forward subtractive libraries containing genes transactivated by dexamethasone in ataxia-telangiectasia lymphoblastoid cells
No full textAtaxia telangiectasia (A-T) is a rare autosomal recessive disorder caused by biallelic mutations in the Ataxia Telangiectasia-mutated gene. A-T shows a complex phenotype ranging from early-onset progressive neurodegeneration to immunodeficiencies, high incidence of infections, and tumors. Unfortunately, no therapy is up to now available for treating this condition. Recently, the short term treatment of ataxia-telangiectasia patients with glucocorticoids was shown to improve their neurological symptoms and possibly reverse cerebellar atrophy. Thus, corticosteroids represent an attractive approach for the treatment of this neurodegenerative disease. However, the molecular mechanism involved in glucocorticoid action in A-T is yet unknown. The aim of our work is to construct cDNA libraries containing those genes which are transactivated by the glucocorticoid analogue, dexamethasone, in A-T human cells. For this purpose, suppression subtractive hybridization has been performed on ATM-null lymphoblastoid cell transcriptome extracted following drug administration. Annotation of whole genes contained in the libraries has been obtained by coupling subtractive hybridization with microarray analysis. Positive transcripts have been validated by quantitative PCR. Through in silico analyses, identified genes have been classified on the basis of the pathway in which they are involved, being able to address signaling required for dexamethasone action. Most of the induced transcripts are involved in metabolic processes and regulation of cellular processes. Our results can help to unravel the mechanism of glucocorticoid action in the reversion of A-T phenotype. Moreover, the induction of a specific region of the ATM transcript has been identified as putative biomarker predictive of dexamethasone efficacy on ataxic patients
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
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