Protein Microarrays for Characterisation of the Bacillus anthracis ‘infectome’
Poster Mar 01, 2013
Stephen Kidd, Karen Kempsell, Rebecca Ingram, Pierre Watteau, Daniel Altmann, Michael Elmore, Sue Charlton, Bassam Hallis and Richard Vipond
Bacillus anthracis is a Gram-positive spore-forming, rod-shaped bacterium that is the etiological agent of the zoonotic disease Anthrax. Reservoirs for anthrax are wild and domestic grass-eating animals, most commonly sheep, goats and cattle and their proximity to humans within an agricultural setting can cause infection and disease. Disease may also be contracted through either direct contact with infected animals or through contact with animal by-products such as wool, skins or bone meal, where spores can survive in the environment for decades. Disease can occur when spores enter the body through breaks in the skin, via ingestion or by inhalation and has a number of clinical presentations. The Anthrax bacillus expresses a number of proteins responsible for the pathology of disease, including the protein toxins lethal factor (LF), oedema factor (OA) and protective antigen (PA). Other proteins are likely to be expressed during infection, which may contribute to the disease process.
Genome-wide association studies (GWAS) have identified more than 100 genetic loci associated with type 2 diabetes. The majority of these are located in the intergenic or intragenic regions suggesting that the implicated variants may alter chromatin conformation. This, in turn, is likely to influence the expression of nearby or more remotely located genes to alter beta cell function. At present, however, detailed molecular and functional analyses are still lacking for most of these variants. We recently analysed one of these loci and mapped five causal variants in an islet-specific enhancer cluster within the STARD10 gene locus. Here, we aimed to understand how these causal variants influence b-cell function by alteration of the chromatin structure of enhancer clusterREAD MORE
Concern about the safety of food products has increased dramatically with intentionally and non-intentionally added substances (NIAS) used in packaging being of particular interest. APGC and high resolution MS together with a workflow driven process was used to identify unknown compounds in packaging.READ MORE