11 research outputs found

    Cardiorespiratory Fitness and Attentional Control in the Aging Brain

    Get PDF
    A growing body of literature provides evidence for the prophylactic influence of cardiorespiratory fitness on cognitive decline in older adults. This study examined the association between cardiorespiratory fitness and recruitment of the neural circuits involved in an attentional control task in a group of healthy older adults. Employing a version of the Stroop task, we examined whether higher levels of cardiorespiratory fitness were associated with an increase in activation in cortical regions responsible for imposing attentional control along with an up-regulation of activity in sensory brain regions that process task-relevant representations. Higher fitness levels were associated with better behavioral performance and an increase in the recruitment of prefrontal and parietal cortices in the most challenging condition, thus providing evidence that cardiorespiratory fitness is associated with an increase in the recruitment of the anterior processing regions. There was a top-down modulation of extrastriate visual areas that process both task-relevant and task-irrelevant attributes relative to the baseline. However, fitness was not associated with differential activation in the posterior processing regions, suggesting that fitness enhances attentional function by primarily influencing the neural circuitry of anterior cortical regions. This study provides novel evidence of a differential association of fitness with anterior and posterior brain regions, shedding further light onto the neural changes accompanying cardiorespiratory fitness

    Establishing a training set through the visual analysis of crystallization trials. Part II: crystal examples

    Get PDF
    As part of a training set for automated image analysis, crystallization screening experiments for 269 different macromolecules were visually analyzed and a set of crystal images extracted. Outcomes and trends are analyzed

    Structural conservation of an ancient tRNA sensor in eukaryotic glutaminyl-tRNA synthetase

    Get PDF
    In all organisms, aminoacyl tRNA synthetases covalently attach amino acids to their cognate tRNAs. Many eukaryotic tRNA synthetases have acquired appended domains, whose origin, structure and function are poorly understood. The N-terminal appended domain (NTD) of glutaminyl-tRNA synthetase (GlnRS) is intriguing since GlnRS is primarily a eukaryotic enzyme, whereas in other kingdoms Gln-tRNAGln is primarily synthesized by first forming Glu-tRNAGln, followed by conversion to Gln-tRNAGln by a tRNA-dependent amidotransferase. We report a functional and structural analysis of the NTD of Saccharomyces cerevisiae GlnRS, Gln4. Yeast mutants lacking the NTD exhibit growth defects, and Gln4 lacking the NTD has reduced complementarity for tRNAGln and glutamine. The 187-amino acid Gln4 NTD, crystallized and solved at 2.3 Å resolution, consists of two subdomains, each exhibiting an extraordinary structural resemblance to adjacent tRNA specificity-determining domains in the GatB subunit of the GatCAB amidotransferase, which forms Gln-tRNAGln. These subdomains are connected by an apparent hinge comprised of conserved residues. Mutation of these amino acids produces Gln4 variants with reduced affinity for tRNAGln, consistent with a hinge-closing mechanism proposed for GatB recognition of tRNA. Our results suggest a possible origin and function of the NTD that would link the phylogenetically diverse mechanisms of Gln-tRNAGln synthesis

    FGF binding by extracellular matrix components of Wharton's jelly

    No full text
    Our earlier paper has reported that Wharton's jelly is a reservoir of several peptide growth factors, including acidic and basic fibroblast growth factors (aFGF and bFGF, respectively). Both can be extracted by buffered salts solutions in the form of high molecular mass complexes, probably with a component(s) of the extracellular matrix. Both aFGF and bFGF from such extracts hardly penetrate 10% polyacrylamide gels during electrophoresis. Pre-treatment of Wharton's jelly with hyaluronidase slightly increased the extractability of aFGF, but did not affect the extractability of bFGF. In contrast, the pre-treatment of tissue homogenate with bacterial collagenase (2000 U/ml, 37°C, 18 h) increased the extractability of bFGF. The presence of β-mercaptoethanol in the extracting solutions increased the extractability of both FGFs, but did not release FGFs in their free form, despite reducing the molecular mass of the FGF-containing complexes. We conclude that both aFGF and bFGF are bound through disulphide bonds to a protein component of Wharton's jelly. We propose that ground substance composed mainly of collagen fibrils and hyaluronate molecules, which surrounds the cells of Wharton's jelly, prevents the access of the extracting solution to aFGF and bFGF. Although hyaluronate and collagen do not bind aFGF or bFGF directly, they may constitute a barrier which prevents the dispersion of FGFs in Wharton's jelly. Thus, the high concentration of FGFs around the cells of Wharton's jelly may facilitate the interaction of these factors with membrane receptors, thereby resulting in stimulation of cell division and differentiation, as well as of the synthesis of extracellular matrix components

    Efficient optimization of crystallization conditions by manipulation of drop volume ratio and temperature

    No full text
    An efficient optimization method for the crystallization of biological macromolecules has been developed and tested. This builds on a successful high-throughput technique for the determination of initial crystallization conditions. The optimization method takes an initial condition identified through screening and then varies the concentration of the macromolecule, precipitant, and the growth temperature in a systematic manner. The amount of sample and number of steps is minimized and no biochemical reformulation is required. In the current application a robotic liquid handling system enables high-throughput use, but the technique can easily be adapted in a nonautomated setting. This method has been applied successfully for the rapid optimization of crystallization conditions in nine representative cases
    corecore