Project description:Here we developed a new approach to sepsis diagnosis that integrates host transcriptional profiling with metagenomic broad-range pathogen detection from cell-free plasma RNA and DNA.
Project description:Here we developed a new approach to sepsis diagnosis that integrates host transcriptional profiling with metagenomic broad-range pathogen detection from cell-free plasma RNA and DNA.
Project description:Bacillus weihenstephanensis is a subspecies of the Bacillus cereus sensu lato group of spore forming bacteria known to cause food spoilage or food poisoning. The key distinguishing phenotype of B. weihenstephanensis is its ability to grow below 7°C or, from a food safety perspective, to grow and potentially produce toxins in a refrigerated environment. In order to gain insight into to the mechanistic basis of its psychrotolerant phenotype, as well as elucidate relevant aspects of its toxigenic profile, the proteome profiles of cells grown at either 6°C or 30°C were compared.
Project description:Assessing the groundwater quality at a Saudi Arabian agricultural site and the occurrence of antibiotic-resistant opportunistic pathogens on irrigated food produce
Project description:<p><strong>INTRODUCTION:</strong> Although it is still at a very early stage compared to its mass spectrometry (MS) counterpart, proton nuclear magnetic resonance (NMR) lipidomics is worth being investigated as an original and complementary solution for lipidomics. Dedicated sample preparation protocols and adapted data acquisition methods have to be developed to set up an NMR lipidomics workflow; in particular, the considerable overlap observed for lipid signals on 1D spectra may hamper its applicability.</p><p><strong>OBJECTIVES:</strong> The study describes the development of a complete proton NMR lipidomics workflow for application to serum fingerprinting. It includes the assessment of fast 2D NMR strategies, which, besides reducing signal overlap by spreading the signals along a second dimension, offer compatibility with the high-throughput requirements of food quality characterization.</p><p><strong>METHOD:</strong> The robustness of the developed sample preparation protocol is assessed in terms of repeatability and ability to provide informative fingerprints; further, different NMR acquisition schemes—including classical 1D, fast 2D based on non-uniform sampling or ultrafast schemes—are evaluated and compared. Finally, as a proof of concept, the developed workflow is applied to characterize lipid profiles disruption in serum from β-agonists diet fed pigs.</p><p><strong>RESULTS:</strong> Our results show the ability of the workflow to discriminate efficiently sample groups based on their lipidic profile, while using fast 2D NMR methods in an automated acquisition framework.</p><p><strong>CONCLUSION:</strong> This work demonstrates the potential of fast multidimensional 1H NMR—suited with an appropriate sample preparation—for lipidomics fingerprinting as well as its applicability to address chemical food safety issues. </p>
Project description:safety versus fear conditioning. Mice were trained with 4 unpaired (Safety) or paired (Fear) CS-US presentations over 3 days. Mice were killed by decapitation 4hrs after the last training session.
