1,721,079 research outputs found
Type II Toxin-Antitoxin Loci: The fic Family
No full textFIC domain containing proteins (Fic proteins) are present in all domains of life but particularly widespread among prokaryotes. FIC domains with a fully conserved HxFx[D/E]GNGRxxR active site motif catalyze adenylylation (also known as AMPylation), the transfer of an adenosine 50-monophosphate moiety onto target proteins. Adenylylation activity is tightly controlled by an inhibitory α-helix (αinh) that can either be part of the Fic protein (intramolecular inhibition) or encoded on a different polypeptide chain (intermolecular inhibition), the latter constituting a novel class of type II toxin-antitoxin (TA) modules represented by VbhT-VbhA of Bartonella schoenbuchensis and FicT-FicA of Escherichia coli. The helix αinh harbors a [S/T]xxxE[G/N] motif with the conserved glutamate partially obstructing the ATP-binding site and forcing ATP to bind in a catalytically incompetent conformation. Release of inhibition by removal of the antitoxin component or by mutation of the conserved glutamate in αinh converts Fic proteins into toxins that severely impair bacterial growth
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
Characterization of Chromosomally Encoded Toxin-Antitoxin Systems in Streptococcus pyogenes
Full text linkStreptococcus pyogenes ist ein humanpathogenes Bakterium, welches verschiedene Gewebe besiedeln kann und dadurch unterschiedliche Krankheiten verursacht. Die enorme Anpassungsfähigkeit des Bakteriums beruht auf dessen Fähigkeit, verschiedene, vom Wirt induzierte Stresskonditionen zu ertragen. Genetische Faktoren, die in diesem Zusammenhang eine Rolle spielen, sind Toxin-Antitoxin (TA) Systeme. Typ II TA Systeme kodieren für zwei Proteine, ein Toxin und ein Antitoxin, die einen stabilen TA Komplex bilden. Verschlechtern sich die Wachstumsbedingungen, kann das Antitoxin proteolytisch abgebaut werden, wodurch das freigesetzte Toxin essentielle zelluläre Prozesse des Bakteriums inhibiert. In dieser Studie charakterisierte ich zwei chromosomal kodierte ParDE TA Systeme des pathogenen Bakteriums S. pyogenes.
Ähnlich zu anderen Systemen werden das Toxin und das Antitoxin beider hier charakterisierten Systeme co-transkribiert und durch Stresseinwirkung (z.B. Aminosäure-mangel) induziert. Zudem konnten weitere posttranskriptionelle bzw. posttranslationale Mechanismen zur Regulierung der Genexpression beider Systeme nachgewiesen werden.
Die extrachromosomale Expression der Toxine ParE1 und ParE2 führten in S. pyogenes und Escherichia coli zum Zelltod, wobei die Co-expression der entsprechenden Antitoxine ParD1 und ParD2 die Toxizität minderte. Allerdings verursachte die Überexpression der Antitoxine allein ebenfalls eine Inhibierung des Zellwachstums. ParD1 hemmte die Zellteilung in E. coli, wobei der N-Terminus des Proteins entscheidend für diesen Effekt zu sein schien.
Zusammengefasst erweitern die Ergebnisse dieser Arbeit unser Verständnis von ParE Toxinen und verdeutlichen die diversen Mechanismen, welcher sich TA Systeme bedienen, um die bakterielle Physiologie zu beeinflussen. Zusätzlich gibt diese Arbeit einen Einblick in mögliche Mechanismen, die S. pyogenes implementiert, um Stresskonditionen im Wirt zu überdauern.Streptococcus pyogenes is a human pathogen with a remarkable ability to colonize different tissues and to endure diverse host-induced stress conditions through mechanisms that have yet to be fully understood. One strategy employed by bacteria to cope with changing environments are toxin-antitoxin (TA) genetic modules. Under non-ideal conditions, the antitoxin is subject to proteolysis and thus the freed toxin protein can target crucial pathways in the cell modulating bacterial growth. This study, describes the characterization of two chromosomally encoded ParDE-like TA systems from the human pathogen S. pyogenes.
The antitoxin-toxin genes of the parDEF1 and parDE2 TA systems are co-transcribed and triggered by stress-induced conditions. The parDE2 TA showed an inspected mRNA processing under amino acid starvation which suggest a putative post-transcriptional regulation. At the post-translational level, both systems are controlled by ClpXP antitoxin-protein degradation in vivo, an important factor for TA triggering.
Furthermore, bacterial plasmid-based expression of the toxins ParE1 and ParE2 resulted in effects in cell viability while the antitoxin molecules ParD1 and ParD2 were able to prevent the toxins lethality, respectably. Unlike canonical antitoxins, both ParD1 and ParD2 molecules also displayed deleterious effects, which seemed to be exclusive and related with the N-terminus domain potentially involved in DNA-interaction.
Finally, the ParE toxins presented remarkable plasticity, able to harm not only gyrase but also topoisomerase IV, two important bacterial drug targets that modulate DNA-topology. These results expand the view on the ParE molecular targets and highlight the diverse mechanisms TAs employ to modulate bacterial physiology. We also provide more insights into possible mechanisms that S. pyogenes employs to endure stress in the host and efficiently cause disease
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
- …
