1,721,115 research outputs found
A Relationship between mRNA Expression Levels and Protein Solubility in E. coli
Each step in the process of gene expression, from the transcription of DNA into mRNA to the folding and posttranslational modification of proteins, is regulated by complex cellular mechanisms. At the same time, stringent conditions on the physicochemical properties of proteins, and hence on the nature of their amino acids, are imposed by the need to avoid aggregation at the concentrations required for optimal cellular function. A relationship is therefore expected to exist between mRNA expression levels and protein solubility in the cell. By investigating such a relationship, we formulate a method that enables the prediction of the maximal levels of mRNA expression in Escherichia coli with an accuracy of 83% and of the solubility of recombinant human proteins expressed in E. coli with an accuracy of 86%. © 2009 Elsevier Ltd. All rights reserved
Characterizing intermolecular interactions that initiate native-like protein aggregation
Folded proteins can access aggregation-prone states without the need for transitions that cross the energy barriers for unfolding. In this study we characterized the initial steps of aggregation from a native-like state of the acylphosphatase from Sulfolobus solfataricus (Sso AcP). Using computer simulations restrained by experimental hydrogen/deuterium (H/D) exchange data, we provide direct evidence that under aggregation-promoting conditions Sso AcP populates a conformational ensemble in which native-like structure is retained throughout the sequence in the absence of local unfolding (N), although the protein exhibits an increase in hydrodynamic radius and dynamics. This transition leads an edge strand to experience an increased affinity for a specific unfolded segment of the protein. Direct measurements by means of H/D exchange rates, isothermal titration calorimetry, and intermolecular relaxation enhancements show that after formation of N, an intermolecular interaction with an antiparallel arrangement is established between the edge strand and the unfolded segment of the protein. However, under conditions that favor the fully native state of Sso AcP, such an interaction is not established. Thus, these results reveal a novel (to our knowledge) self-assembly mechanism for a folded protein that is based on the increased flexibility of highly aggregation-prone segments in the absence of local unfolding. © 2012 Biophysical Society
Life on the edge: a link between gene expression levels and aggregation rates of human proteins
We have found that expression levels of human genes in
vivo are remarkably anti-correlated with the aggregation
rates of the corresponding proteins measured in vitro by
experiment. This result indicates that human proteins
have evolved to resist aggregation and to function efficiently, but with almost no margin of safety to respond
to genetic and environmental factors that decrease their
solubility or increase their concentration in vivo. We speculate that this result provides a compelling reason for the
existence of disorders that are associated with protein
aggregation, such as Alzheimer’s and Parkinson’s diseases
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
Mutational Analysis of the Aggregation-Prone and Disaggregation-Prone Regions of Acylphosphatase
We have performed an extensive mutational analysis of aggregation and disaggregation of amyloid-like protofibrils of human muscle acylphosphatase. Our findings indicate that the regions that promote aggregation in 25% (v/v) 2,2,2 trifluoroethanol (TFE) are different from those that promote disaggregation under milder conditions (5% TFE). Significant changes in the rate of disaggregation of protofibrils in 5% TFE result not only from mutations situated in the regions of the sequence that play a key role in the mechanism of aggregation in 25% TFE, but also from mutations located in other regions. In order to rationalise these results, we have used a modified version of the Zyggregator aggregation propensity prediction algorithm to take into account structural rearrangements of the protofibrils that may be induced by changes in solution conditions. Our results suggest that a wider range of residues contributes to the stability of the aggregates in addition to those that play an important kinetic role in the aggregation process. The mutational approach described here is capable of providing residue-specific information on the structure and dynamics of amyloid protofibrils under conditions close to physiological and should be widely applicable to other systems
The role of structural dynamics in the thermal adaptation of hyperthermophilic enzymes
Proteins from hyperthermophilic organisms are evolutionary optimised to adopt functional structures and dynamics under conditions in which their mesophilic homologues are generally inactive or unfolded. Understanding the nature of such adaptation is of crucial interest to clarify the underlying mechanisms of biological activity in proteins. Here we measured NMR residual dipolar couplings of a hyperthermophilic acylphosphatase enzyme at 80°C and used these data to generate an accurate structural ensemble representative of its native state. The resulting energy landscape was compared to that obtained for a human homologue at 37°C, and additional NMR experiments were carried out to probe fast (15N relaxation) and slow (H/D exchange) backbone dynamics, collectively sampling fluctuations of the two proteins ranging from the nanosecond to the millisecond timescale. The results identified key differences in the strategies for protein-protein and protein-ligand interactions of the two enzymes at the respective physiological temperatures. These include the dynamical behaviour of a β-strand involved in the protection against aberrant protein aggregation and concerted motions of loops involved in substrate binding and catalysis. Taken together these results elucidate the structure-dynamics-function relationship associated with the strategies of thermal adaptation of protein molecules
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