Project description:Three Microarray comparisons have been preformed in this study. 1- Transcriptome comparison of the Streptococcus pneumoniae D39 wild type grown in M17 medium + 0.5 % (w/v) NAGa (NAGaM17) to M17 medium + 0.5 % (w/v) glucose (GM17) (GSM2372597 and GSM2372598). 2- Transcriptome comparison of the Streptococcus pneumoniae D39 ΔagaR to D39 wild type grown in M17 medium + 0.5 % (w/v) glucose (GM17) (GSM2372599 and GSM2372600). 3- Transcriptome comparison of the Streptococcus pneumoniae D39 ΔccpA to D39 wild type grown in M17 medium + 0.5 % (w/v) NAGa (NAGaM17) (GSM2290636 and GSM2290637).
Project description:This SuperSeries is composed of the following subset Series: GSE31815: ccpA mutant compared to D39 wild-type in Streptococcus pneumoniae in CDM + Glucose at MID-log growth phase GSE31816: ccpA mutant compared to D39 wild-type in Streptococcus pneumoniae in CDM + GLucose at transition-phase of growth (TS) GSE31817: ccpA mutant compared to D39 wild-type in Streptococcus pneumoniae in CDM + Galactose at MID-log growth phase GSE31818: ccpA mutant compared to D39 wild-type in Streptococcus pneumoniae in CDM + galactose at transition-phase of growth (TS) Refer to individual Series
Project description:PFGRC has developed a cost effective alternative to complete genome sequencing in order to study the genetic differences between closely related species and/or strains. The comparative genomics approach combines Gene Discovery (GD) and Comparative Genomic Hybridization (CGH) techniques, resulting in the design and production of species microarrays that represent the diversity of a species beyond just the sequenced reference strain(s) used in the initial microarray design. These species arrays may then be used to interrogate hundreds of closely related strains in order to further unravel their evolutionary relationships. The Pneumococcus are among most deadly pathogens world-wide. The infections and outbreaks caused by this pathogens is quite frequent despite existing diagnostic network and therapeutic means. Therefore, developing reliable diagnostic tools and efficient (broad-spectrum) therapeutics for Streptococcus pneumoniae remain a public health priority for every country in world today. The comparative genomics study will provide the largest hitherto genomic data sets regarding this pathogen.These large data sets will enable us as well as other members of scientific community to conduct comprehensive data mining in the form of gene association studies with statistical power and significance.
Project description:In this study, genomics- and proteomics-based approaches were used for the identification of Streptococcus pneumoniae potential biomarkers for diagnostics and prospective targets for treatment. Through a Pan-genome analyses 11 strains from the CCUG demonstrating genetic variability within the species were selected for a proteomic characterization. Mass spectrometry-based proteomics in combination with bacterial surface shaving were used to study the surface proteome of S. pneumoniae. The 11 strains were analyzed in triplicates by proteotyping (typing and characterization of species by mass spectrometry-based proteomics) and bioinformatic approaches, including the Microorganism Identification and Classification, were used to validate the expressed proteins and peptide biomarkers.
Project description:Transcriptome comparison of the Streptococcus pneumoniae D39 wild-type grown in CDM Plus 0mM Zn2+ to grown in CDM plus 0.2 mM Zn2+.
Project description:The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. The pathogens included in this initiative are: Escherichia coli, Klebsiella pneumoniae complex, Staphylococcus aureus, Streptococcus pyogenes, and Streptococcus pneumoniae. This submission pertains to strain 947.
Project description:The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. The pathogens included in this initiative are: Escherichia coli, Klebsiella pneumoniae complex, Staphylococcus aureus, Streptococcus pyogenes, and Streptococcus pneumoniae. This submission pertains to strain 4496.
Project description:The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. The pathogens included in this initiative are: Escherichia coli, Klebsiella pneumoniae complex, Staphylococcus aureus, Streptococcus pyogenes, and Streptococcus pneumoniae. This submission pertains to strain 4559.
