Project description:Different digestion methods and extraction detergents were examined for membrane proteome sample preparation, and label-free quantitative proteome analysis of the polymyxin B induced Acinetobacter baumannii ATCC 19606 membrane proteome were performed based on nano LC-MS/MS.
Project description:Transcriptomics by RNA-seq provides unparalleled insight into bacterial gene expression networks, enabling a deeper understanding of the regulation of pathogenicity, mechanisms of antimicrobial resistance, metabolism, and other cellular processes. Here we present the transcriptome architecture of Acinetobacter baumannii ATCC 17978, a species emerging as a leading cause of antimicrobial resistant nosocomial infections. Differential RNA-seq (dRNA-seq) examination of model strain ATCC 17978 in 16 laboratory conditions identified 3731 transcriptional start sites (TSS), and 110 small RNAs, including the first identification of 22 sRNA encoded at the 3′ end of mRNA.
Project description:This model is part of a collection comprising eight strain-specific genome-scale metabolic models of five different Acinetobacter baumannii strains, seven of which have been previously published and were now collected and carefully curated. All models were checked with the SBML validator, MEMOTE, and FROG. The covered strains include Acinetobacter baumannii AYE, AB0057, ATCC 19606, ATCC 17978, and AB5075.
Project description:This model is part of a collection comprising eight strain-specific genome-scale metabolic models of five different Acinetobacter baumannii strains, seven of which have been previously published and were now collected and carefully curated. All models were checked with the SBML validator, MEMOTE, and FROG. The covered strains include Acinetobacter baumannii AYE, AB0057, ATCC 19606, ATCC 17978, and AB5075.
Project description:We have shown recently that in the human pathogen Acinetobacter baumannii, light is able to modulate key aspects contributing to its success as a pathogen such as motility, biofilm formation and virulence in a way that depends on the BLUF photoreceptor BlsA at 24ºC. In addition, light can induce reduction in susceptibility to certain antibiotics such as minocycline and tigecycline in a photoreceptor-independent manner, directly inducing expression of resistance genes. In this work, we performed RNAseq studies to identify new traits modulated by light in this pathogen in A. baumannii strain ATCC 19606. We have found 226 differentially expressed genes between light and dark, which comprise not only important determinants related to pathogenicity/resistance, but also to the bacteria´s survival in the environment.
Project description:In this study the transcriptomes of Acinetobacter baumannii strains ATCC 17978 and 17978hm were compared. Strain 17978hm is a hns knockout derivative of strain ATCC 17978. Strain 17978hm displays a hyper-motile phenotype on semi-solid Mueller-Hinton (MH) media (0.25% agar). ATCC 17978 and 17978hm from an 37C overnight culture were transferred to the centre of the semi-solid MH plate and incubated at 37C for 8 hours. Only 17978hm cells displayed a motile phenotype and covered the complete surface of the plate. These motile 17978hm cells and the non-motile wild-type ATCC 17978 cells were harvested and RNA was isolated. The comparative transcriptome analysis was performed using the FairPlay labeling kit and a custom made Agilent MicroArray with probes designed to coding regions of the ATCC 17978 genome. The data was analyzed using Agilent GeneSpring GX9 and the significance analysis of microarray MS Excel add-on.
Project description:This model is part of a collection comprising eight strain-specific genome-scale metabolic models of five different Acinetobacter baumannii strains. Seven of these models have been previously published and were now collected and carefully curated. All models were checked with the SBML validator, MEMOTE, and FROG. The covered strains include Acinetobacter baumannii AYE, AB0057, ATCC 19606, ATCC 17978, and AB5075.