1,720,971 research outputs found
The role of TCL1 in human T-cell leukemia
No full textThe TCL1 locus on human chromosome 14q32.1 is activated in T-cell leukemias by translocations and inversions that juxtapose it to regulatory elements of T-cell receptor genes. We isolated and characterized four genes at this locus, TCL1 and TCL1b (T-cell leukemia/lymphoma 1 and 1b), and TNG1 and TNG2 (TCL neighboring genes 1 and 2) all of which are overexpressed following rearrangements involving 14q32.1. TCL1 and TCL1b show 60% similarity and are represented in the mouse by a cluster of six homologous genes. In humans TCL1 and TCL1b show similar expression patterns: They are expressed mainly in CD4-/CD8- immature T-cells, pre B-cells and virgin B-cells. Expression decreases significantly at more mature stages of B-cell development. Activation of TCL1 and/or TCL1b in mature T-cells causes T-cell leukemia in humans. The oncogenic nature of TCL1 was confirmed by the analysis of a transgenic mouse model. Functional analysis of Tcl1 revealed its involvement in a PI3-kinase dependent Akt (PKB) pro-survival pathway through its interaction with the Akt kinase which increases Akt's enzymatic activity and promotes translocation of Akt to the nucleus
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Abnormalities at 14q32.1 in T cell malignancies involve two oncogenes
No full textThe TCL1 oncogene on human chromosome 14q32.1 is involved in the development of T cell leukemia in humans. Its expression in these leukemias is activated by chromosomal translocations and inversions at 14q32.1. Here we report the isolation and characterization of a new member of the TCL1 gene family, TCL1b, located ≃ 16 kb centromeric of TCL1. The 1.2-kb TCL1b cDNA encodes a 14-kDa protein of 128 aa and shows 60% similarity to Tcl1. Expression profiles of TCL1 and TCL1b genes are very similar: both genes are expressed at very low levels in normal bone marrow and peripheral lymphocytes but are activated in T cell leukemia by rearrangements of the 14q32.1 region. Thus, translocations and inversions at 14q32.1 in T cell malignancies involve two oncogenes
Loss of FHIT expression in acute lymphoblastic leukemia
No full textLoss of expression of the FHIT tumor suppressor gene is common in epithelial malignancies such as lung, kidney, esophageal, gastric, and cervical cancers. To assess the role of FHIT in acute leukemias, we examined 18 primary acute lymphoblastic leukemias (ALLs), 8 ALL-derived cell lines, 7 cell lines from other hematological malignancies, 14 lymphoblastoid cell lines, and 5 peripheral blood lymphocyte samples for expression of FHIT mRNA and protein by reverse transcription-PCR and Northern and Western blots. Fhit protein expression was detected in only 24% of primary ALLs and leukemia/lymphoma cell lines, but it was detected in all lymphoblastoid cell lines and peripheral blood lymphocyte samples. Interestingly, Fhit protein expression was lost in all T-cell ALLs but was lost in only half of the B- cell ALLs. Northern blotting of 7 normal lymphoblastoid cell lines and 13 of the neoplastic cell lines confirmed the results obtained by Western blotting regarding FHIT expression. The high frequency of loss of Fhit expression in ALLs suggests that inactivating alterations at the FHIT locus contribute to development of the leukemias
Genomic analysis of human and mouse TCL1 loci reveals a complex of tightly clustered genes
No full textTCL1 and TCL1b genes on human chromosome 14q23.1 are activated in T cell leukemias by translocations and inversions at 14q32.1, juxtaposing them to regulatory elements of T cell receptor genes. In this report we present the cloning, mapping, and expression analysis of the human and murine TCL1/Tcl1 locus. In addition to TCL1 and TCL1b, the human locus contains two additional genes, TCL1-neighboring genes (TNG) 1 and 2, encoding proteins of 141 and 110 aa, respectively. Both genes show no homology to any known genes, but their expression profiles are very similar to those of TCL1 and TCL1b. TNG1 and TNG2 also are activated in T cell leukemias with rearrangements at 14q32.1. To aid in the development of a mouse model we also have characterized the murine Tcl1 locus and found five genes homologous to human TCL1b. Tcl1b1- Tcl1b5 proteins range from 117 to 123 aa and are 65-80% similar, but they show only a 30-40% similarity to human TCL1b. All five mouse Tcl1b and murine Tcl1 mRNAs are abundant in mouse oocytes and two-cell embryos but rare in various adult tissues and lymphoid cell lines. These data suggest a similar or complementary function of these proteins in early embryogenesis
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