1,721,007 research outputs found
Functional identification and mapping of a gene that represses telomerase hTERT transcription in prostate cancer cells
No full textThis thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Telomerase is present in over 90% of tumour tissues and immortalized cells and is tightly regulated in most normal somatic cells. This suggests the existence of regulatory mechanisms repressing telomerase in normal cells that somehow have become inactive during cancer development. In this project, I used genetic complementation in the form of microcell-mediated monochromosome transfer (MMCT) to search for chromosomes that repress telomerase activity in a prostate cancer cell line, PC-3. Microcell hybrids generated by introducing normal human chromosome 11 strongly inhibited telomerase. Telomerase is regulated primarily at the level of hTERT transcription, its catalytic subunit. Consequently, endogenous hTERT mRNA levels were measured by quantitative RT-PCR in microcell hybrids generated by transferring normal human chromosomes into a PC-3 sub-clone (PC- 3/hTERT) ectopically expressing hTERT cDNA to prevent senescence. Only hybrids constructed with transferred chromosome 11 showed strong transcriptional repression of hTERT. Next, hybrids were constructed by the MMCT transfer of chromosome 11 fragments (X-ray-induced). FISH analysis of clones with completely silenced endogenous hTERT transcription revealed in all cases a discrete chromosome 11 fragment with both the p-arm and q-arm material. A randomly selected hTERT-repressed clone was treated with ganciclovir to select against the HyTK marker and reverse the phenotype. hTERT expression in majority of GCV-resistant clones returned to levels comparable to the parent PC-3/hTERT cells.
Collectively, these results provide strong functional evidence for the presence of a powerful telomerase repressor sequence on the fragment. Transfer of one repressive fragment back into mouse A9 cells was then carried out to facilitate fine-structure mapping of its sequence content. High density STS mapping of the fragment in each of the clones revealed a considerable DNA content heterogeneity across the panel. These content maps, together with a further round of MMCT to confirm hTERTrepressive activity, enabled me to identify three candidate regions on the q-arm of chromosome 11 where the repressor sequence may be located: the first region lies between map positions 64.70Mb to 65.42Mb and the other two regions each flank a single positive STS marker at 69.71Mb and 127.32Mb. KAT5, a histone modifying gene has been identified as a potential candidate for repressing hTERT.Professor Robert F Newbol
The mRNA expression of hTERT in human breast carcinomas correlates with VEGF expression
No full textBackground
Telomerase is a ribonucleoprotein enzyme that synthesises telomeres after cell division and maintains chromosomal stability leading to cellular immortalisation. hTERT (human telomerase reverse transcriptase) is the rate-limiting determinant of telomerase reactivation. Telomerase has been associated with negative prognostic indicators in some studies. The present study aims to detect any correlation between hTERT and the negative prognostic indicators VEGF and PCNA by quantitatively measuring the mRNA expression of these genes in human breast cancer and in adjacent non-cancerous tissue (ANCT).
Materials and methods
RNA was extracted from 38 breast carcinomas and 40 ANCT. hTERT and VEGF165, VEGF189 and PCNA mRNA expressions were estimated by reverse transcriptase-PCR (RT-PCR) and Taqman methodology.
Results
The level of expression of VEGF-165 and PCNA was significantly higher in carcinoma tissue than ANCT (p = 0.02). The ratio of VEGF165/189 expression was significantly higher in breast carcinoma than ANCT (p = 0.025). hTERT mRNA expression correlated with VEGF-189 mRNA (p = 0.008) and VEGF165 (p = 0.07).
Conclusions
hTERT mRNA expression is associated with the expression of the VEGF189 and 165 isoforms. This could explain the poorer prognosis reported in breast tumours expressing high levels of hTERT. The relative expression of the VEGF isoforms is significantly different in breast tumour to ANCT, and this may be important in breast carcinogenesis
The multiple sulfatase deficiency gene encodes an essential and limiting factor for the activity of sulfatases
No full textIn multiple sulfatase deficiency (MSD), a human inherited disorder, the activities of all sulfatases are impaired due to a defect in posttranslational modification. Here we report the identification, by functional complementation using microcell-mediated chromosome transfer, of a gene that is mutated in MSD and is able to rescue the enzymatic deficiency in patients' cell lines. Functional conservation of this gene was observed among distantly related species, suggesting a critical biological role. Coexpression of SUMF1 with sulfatases results in a strikingly synergistic increase of enzymatic activity, indicating that SUMF1 is both an essential and a limiting factor for sulfatases. These data have profound implications on the feasibility of enzyme replacement therapy for eight distinct inborn errors of metabolism
There is no correlation between c-Myc mRNA expression and telomerase activity in human breast cancer
No full textBackground
Telomerase is a ribonucleoprotein enzyme that synthesises telomeres after cell division and maintains chromosomal length and stability thus leading to cellular immortalisation. The hTERT (human telomerase reverse transcriptase) subunit seems to be the rate-limiting determinant of telomerase and knowledge of factors controlling hTERT transcription may be useful in therapeutic strategies. The hTERT promoter contains binding sites for c-Myc and there is experimental and in vitro evidence that c-Myc may increase hTERT expression.
Materials and methods
RNA was extracted from 18 breast carcinomas and c-Myc mRNA expression was estimated by quantitative reverse transcriptase-PCR (RT-PCR) with Taqman methodology. These tumours had already been analysed for ER and PgR status using ligand-binding assays and had had their DNA ploidy and S-phase fractions measured by flow cytometry. Telomerase activity had already been determined by using a modified telomeric repeat and amplification protocol (TRAP) assay.
Results
Telomerase activity ranged from 0 to 246 units of Total Protein Generated (TPG), where one unit of TPG was equal to 600 molecules of telomerase substrate primers extended by at least three telomeric repeats. Median levels of TPG were 60 and mean levels 81. There was no significant correlation between levels of c-Myc mRNA expression, telomerase activity, S phase fraction or PgR. There was a significant negative correlation with ER status.
Conclusion
Although the hTERT promoter contains potential binding sites for c-Myc oncoprotein, we have found no correlation between c-Myc mRNA levels and telomerase activity
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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