A subset of NSAIDs lower amyloidogenic Aβ42 independently of cyclooxygenase activity

Epidemiological studies have documented a reduced prevalence of Alzheimer's disease among users of nonsteroidal anti-inflammatory drugs (NSAIDs). It has been proposed that NSAIDs exert their beneficial effects in part by reducing neurotoxic inflammatory responses in the brain, although this mechanism has not been proved. Here we report that the NSAIDs ibuprofen, indomethacin and sulindac sulphide preferentially decrease the highly amyloidogenic Aβ42 peptide (the 42-residue isoform of the amyloid-β peptide) produced from a variety of cultured cells by as much as 80%. This effect was not seen in all NSAIDs and seems not to be mediated by inhibition of cyclooxygenase (COX) activity, the principal pharmacological target of NSAIDs. Furthermore, short-term administration of ibuprofen to mice that produce mutant β-amyloid precursor protein (APP) lowered their brain levels of Aβ42. In cultured cells, the decrease in Aβ42 secretion was accompanied by an increase in the Aβ(1–38) isoform, indicating that NSAIDs subtly alter γ-secretase activity without significantly perturbing other APP processing pathways or Notch cleavage. Our findings suggest that NSAIDs directly affect amyloid pathology in the brain by reducing Aβ42 peptide levels independently of COX activity and that this Aβ42-lowering activity could be optimized to selectively target the pathogenic Aβ42 species

Computing with bacterial constituents, cells and populations: from bioputing to bactoputing

The relevance of biological materials and processes to computing—aliasbioputing—has been explored for decades. These materials include DNA, RNA and proteins, while the processes include transcription, translation, signal transduction and regulation. Recently, the use of bacteria themselves as living computers has been explored but this use generally falls within the classical paradigm of computing. Computer scientists, however, have a variety of problems to which they seek solutions, while microbiologists are having new insights into the problems bacteria are solving and how they are solving them. Here, we envisage that bacteria might be used for new sorts of computing. These could be based on the capacity of bacteria to grow, move and adapt to a myriad different fickle environments both as individuals and as populations of bacteria plus bacteriophage. New principles might be based on the way that bacteria explore phenotype space via hyperstructure dynamics and the fundamental nature of the cell cycle. This computing might even extend to developing a high level language appropriate to using populations of bacteria and bacteriophage. Here, we offer a speculative tour of what we term bactoputing, namely the use of the natural behaviour of bacteria for calculating

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Designar Comissão Interna para Elaboração do Inventário Físico dos bens móveis do NÚCLEO DE DESENVOLVIMENTO INFANTIL do CENTRO DE CIÊNCIAS DA EDUCAÇÃO (NDI/CED), referente ao exercício 2018

Functional Expression of a Fungal Laccase in Saccharomyces cerevisiae by Directed Evolution

Laccase from Myceliophthora thermophila (MtL) was expressed in functional form in Saccharomyces cerevisiae. Directed evolution improved expression eightfold to the highest yet reported for a laccase in yeast (18 mg/liter). Together with a 22-fold increase in k(cat), the total activity was enhanced 170-fold. Specific activities of MtL mutants toward 2,2′-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) and syringaldazine indicate that substrate specificity was not changed by the introduced mutations. The most effective mutation (10-fold increase in total activity) introduced a Kex2 protease recognition site at the C-terminal processing site of the protein, adjusting the protein sequence to the different protease specificities of the heterologous host. The C terminus is shown to be important for laccase activity, since removing it by a truncation of the gene reduces activity sixfold. Mutations accumulated during nine generations of evolution for higher activity decreased enzyme stability. Screening for improved stability in one generation produced a mutant more stable than the heterologous wild type and retaining the improved activity. The molecular mass of MtL expressed in S. cerevisiae is 30% higher than that of the same enzyme expressed in M. thermophila (110 kDa versus 85 kDa). Hyperglycosylation, corresponding to a 120-monomer glycan on one N-glycosylation site, is responsible for this increase. This S. cerevisiae expression system makes MtL available for functional tailoring by directed evolution

In vitro evolution of a fungal laccase in high concentrations of organic cosolvents

Fungal laccases are remarkable green catalysts that have a broad substrate specificity and many potential applications in bioremediation, lignocellulose processing, organic synthesis, and more. However, most of these transformations must be carried out at high concentrations of organic cosolvents in which laccases undergo unfolding, thereby losing their activity. We have tailored a thermostable laccase that tolerates high concentrations of cosolvents, the genetic product of five rounds of directed evolution expressed in Saccharomyces cerevisiae. This evolved laccase-R2 variant-was capable of resisting a wide array of cosolvents at concentrations as high as 50% (v/v). Intrinsic laccase features such as the redox potential and the geometry of catalytic coppers varied slightly during the course of the molecular evolution. Some mutations at the protein surface stabilized the laccase by allowing additional electrostatic and hydrogen bonding to occur