1,721,008 research outputs found
Human cyclin A and the retinoblastoma protein interact with similar but distinguishable sequences in the adenovirus E1A gene product
No full textThe adenovirus early region 1A (E1A) proteins associate with several cellular proteins in adenovirus infected or transformed cells. Recently, two of the cellular proteins that bind to E1A encoded proteins have been identified. p105 has been shown to be the product of the retinoblastoma tumor suppressing gene. p60 has been shown to be a human cyclin A. Previously studies have shown that E1A protein sequences encoded by conserved domains 1 and 2 are required for interactions with the retinoblastoma protein (pRB). We have demonstrated here that amino acids 30 to 60 and 121 to 127 within the E1A proteins are required for interaction with p60/cyclin A. These are the same sites within conserved domains 1 and 2 that are required for E1A protein association with pRB. However, the association of p60/cyclin A does not appear to require pRB. We also demonstrate that another cellular protein, 130K, interacts with E1A at essentially the same sites. It is interesting that mutations in these regions destroy the ability of E1A to function as an oncogene, thereby raising the possibility that interaction with several different cellular proteins may be needed for transformation by E1A
A 60 kd cdc2-associated polypeptide complexes with the E1A proteins in adenovirus-infected cells
No full textp60 is a cellular protein that binds to the adenovirus E1A protein complex in virally infected or transformed human cells. In both infected and uninfected cells, p60 was found in a complex with the cdc2 protein kinase. Immune complexes containing p60 and cdc2 display a cell cycle-dependent histone H1 kinase activity that is most active in interphase. The previously described cdc2-p62/cyclin complex also acts as a histone H1 kinase but is maximally active in mitotic metaphase. The shift in the timing of activation of different cdc2-containing complexes suggests that each might play a distinct role in regulation of the cell cycle. © 1989
The REF52 protein database. Methods of database construction and analysis using the QUEST system and characterizations of protein patterns from proliferating and quiescent REF52 cells
No full textThe construction and analysis of protein databases using the QUEST system is described, and the REF52 protein database is presented. A protein database provides the means to store and compare quantitative and descriptive data for up to 2000 proteins from many experiments that employ computer-analyzed two-dimensional gel electrophoresis. The QUEST system provides the tools to manage, analyze, and communicate these data. The REF52 database contains experiments with normal and transformed rat cell lines. In this report, many of the proteins on the REF52 map are identified by name, by subcellular localization, and by mode of post-translational modification. The quantitative experiments analyzed and compared here include 1) a study of the quantitative reproducibility of the analysis system, 2) a study of the clonal reproducibility of REF52 cells, 3) a study of growth-related changes in REF52 cells, and 4) a study of the effects of labeling cells for varying lengths of time. Of the proteins analyzed from REF52 cells, 10% are nuclear, 6% are phosphoproteins, and 4% are mannose-labeled glycoproteins. The mannose-labeled proteins are more prominent in patterns from quiescent cells, while the synthesis of cytoskeletal proteins is generally repressed at quiescence. A small set of proteins, selected for elevated rates of synthesis is generally repressed at quiescence. A small set of proteins, selected for elevated rates of synthesis in quiescent versus proliferating cells includes one of the tropomyosin isoforms, a myosin light chain isoform, and several prominent glycoproteins. These proteins are thought to be characteristic of the differentiated state of untransformed REF52 cells. Proteins induced early versus late after refeeding quiescent cells show very different patterns of growth regulation. These studies lay the foundations of the REF52 database and provide information needed to interpret the experiments with transformed REF52 cells, which are reported in the accompanying paper (Garrels, J., and Franza, B. R., Jr. (1989) J. Biol. Chem. 264, 5299-5312)
Cell cycle regulation of histone H1 kinase activity associated with the adenoviral protein E1A
No full textSeveral cellular proteins form stable complexes with the proteins encoded by the adenovirus early region 1A (E1A) gene in extracts derived from adenovirus infected or transformed cells. Two of the cellular proteins that bind to E1A have been identified; one, a 105-kilodalton protein (pRb), is the product of the retinoblastoma gene, and the other, a 60-kilodalton protein, is a human cyclin A. Two other proteins that bind E1A have now been shown to be related to p34cdc2. This E1A complex displayed histone H1-specific kinase activity; the kinase activity was modulated during the cell division cycle, and association of pRb with E1A apparently was not required for this 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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