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ESR (or EPR) spectroscopy on spin-labeled site-directed cysteine mutants is ideally suited for structural studies of membrane proteins due to its high sensitivity and its low demands with respect to sample purity and preparation. Many features can be inferred from the spectral line shape of an ESR spectrum, but the analysis of ESR spectra is complicated when multiple sites with different line shapes are present. Here, we present a method to decompose the spectrum of a doubly labeled peptide that is composed of a singly labeled, noninteracting component and a doubly labeled, dipolar-broadened component using a combination of optical and matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry. The effect on the interspin distance calculation based on the dipolar broadening is quantified and discussed.

Obtaining an in-depth understanding of the arms races between peptides comprising the innate immune response and bacterial pathogens is of fundamental interest and will inform the development of new antibacterial therapeutics. We investigated whether a whole organism view of antimicrobial peptide (AMP) challenge on Escherichia coli would provide a suitably sophisticated bacterial perspective on AMP mechanism of action. Selecting structurally and physically related AMPs but with expected differences in bactericidal strategy, we monitored changes in bacterial metabolomes, morphological features and gene expression following AMP challenge at sub-lethal concentrations. For each technique, the vast majority of changes were specific to each AMP, with such a plastic response indicating E. coli is highly capable of discriminating between specific antibiotic challenges. Analysis of the ontological profiles generated from the transcriptomic analyses suggests this approach can accurately predict the antibacterial mode of action, providing a fresh, novel perspective for previous functional and biophysical studies. [ABSTRACT FROM AUTHOR]

Obtaining an in-depth understanding of the arms races between peptides comprising the innate immune response and bacterial pathogens is of fundamental interest and will inform the development of new antibacterial therapeutics. We investigated whether a whole organism view of antimicrobial peptide (AMP) challenge on Escherichia coli would provide a suitably sophisticated bacterial perspective on AMP mechanism of action. Selecting structurally and physically related AMPs but with expected differences in bactericidal strategy, we monitored changes in bacterial metabolomes, morphological features and gene expression following AMP challenge at sub-lethal concentrations. For each technique, the vast majority of changes were specific to each AMP, with such a plastic response indicating E. coli is highly capable of discriminating between specific antibiotic challenges. Analysis of the ontological profiles generated from the transcriptomic analyses suggests this approach can accurately predict the antibacterial mode of action, providing a fresh, novel perspective for previous functional and biophysical studies. [ABSTRACT FROM AUTHOR]

Chronic polymicrobial lung infections in adult cystic fibrosis patients are typically dominated by high levels of Pseudomonas aeruginosa. Determining the impact of P. aeruginosa growth on airway secretion composition is fundamental to understanding both the behaviour of this pathogen in vivo, and its relationship with other potential colonising species. We hypothesised that the marked differences in the phenotypes of clinical isolates would be reflected in the metabolite composition of spent culture media. 1H NMR spectroscopy was used to characterise the impact of P. aeruginosa growth on a synthetic medium as part of an in vitro CF lower airways model system. Comparisons of 15 CF clinical isolates were made and four distinct metabolomic clusters identified. Highly significant relationships between P. aeruginosa isolate cluster membership and both patient lung function (FEV 1) and spent culture pH were identified. This link between clinical isolate growth behaviour and FEV 1 indicates characterisation of P. aeruginosa growth may find application in predicting patient lung function while the significant divergence in metabolite production and consumption observed between CF clinical isolates suggests dominant isolate characteristics have the potential to play both a selective role in microbiota composition and influence pseudomonal behaviour in vivo. [ABSTRACT FROM AUTHOR]

Order parameters from deuterium NMR are often used to validate or calibrate molecular dynamics simulations. This paper gives a short overview of the literature in which experimental order parameters from 2H NMR are compared to those calculated from MD simulations. The different ways in which order parameters from experiment are used to calibrate and validate simulations are reviewed. In the second part of this review, a case study of cholesterol in a DMPC bilayer is presented. It is concluded that the agreement between experimental data and simulation is favorable in the hydrophobic region of the membrane, for both the phospholipids and cholesterol. In the interfacial region the agreement is less satisfactory, probably because of the high polarity of this region which makes the correct computation of the electrostatics more complex. [ABSTRACT FROM AUTHOR]