Project description:Shotgun metagenomic sequencing data for nasopharyngeal colonization dynamics with Streptococcus pneumoniae and associated antimicrobial-resistance in a South African birth cohort.
Project description:Extracellular vesicles (EVs) have recently garnered attention for their participation in host-microbe interactions in Streptococcus pneumoniae infections. However, the effect of pEVs on the disruption of alveolar epithelial barrier remain poorly understood. Our studies focus on EVs produced by Streptococcus pneumoniae (pEVs), and reveal that pEVs are internalized by alveolar epithelial cells. In vitro, pEVs induce autophagy activation in a dosage-dependent manner and decrease the alveolar epithelial barrier’s trans-epithelium electrical resistance (TEER). In addition, pEV-containing bacterial peotein serine/threonine-protein kinase StkP may act as an activator for Streptococcus pneumoniae-induced autophagy activation. When administered systemically in mice, Streptococcus pneumoniae wild type strain induced acute lung injury, the deletion of stkP deletion strain attenuated this injury. Taken together, pEVs cargos emerge as critical contributors to tissue damage in mammalian hosts.
Project description:This SuperSeries is composed of the following subset Series: GSE33033: ahrC mutant compared to D39 wild-type in Streptococcus pneumoniae in CDM + 10 mM arginine GSE33034: argR1 mutant compared to D39 wild-type in Streptococcus pneumoniae in CDM + 10 mM arginine GSE33035: argR1-ahrC mutant compared to D39 wild-type in Streptococcus pneumoniae in CDM + 10 mM arginine GSE33036: Streptococcus pneumoniae D39 wild-type grown in CDM+10 mM arginine compared to D39 wild type grown in CDM + 0.05 mM arginine Refer to individual Series
Project description:Background: Antimicrobial resistance is generally studied using a combination of growth inhibition measurements, sometimes in combination with DNA detection methods. However, the actual proteins that cause resistance such as enzymes, efflux pumps and a lack of porins cannot be detected by these methods. Improvements in liquid chromatography (LC) and mass spectrometry (MS) enabled easier and more comprehensive proteome analysis. In the current study, these three methods are combined into a multi-omics approach to analyze resistance against frequently used antibiotics within the beta-lactam, aminoglycoside and fluoroquinolone group in E. coli and K. pneumoniae. Objectives: We aimed to analyze which currently known antimicrobial resistance genes are detected at the protein level using liquid chromatography-mass spectrometry (LC-MS/MS) and to assess whether these could explain beta-lactam, aminoglycoside, and fluoroquinolone resistance in the studied isolates. Furthermore, we aimed to identify significant protein to resistance correlations which have not yet been described and to correlate the abundance of different porins to resistance. Methods: Whole genome sequencing, high-resolution LC-MS/MS and antimicrobial susceptibility testing by broth microdilution were performed for 187 clinical E. coli and K. pneumoniae isolates. Resistance genes and proteins were identified using the Comprehensive Antibiotic Resistance Database (CARD). All proteins were annotated using the NCBI RefSeq database and Prokka. Results & Conclusion: Proteins of small spectrum beta-lactamases, extended spectrum beta-lactamases, AmpC beta-lactamases, carbapenemases, and proteins of 16S ribosomal RNA methyltransferases and aminoglycoside acetyltransferases can be detected in E. coli and K. pneumoniae by LC-MS/MS. The detected mechanisms could explain phenotypic resistance in most of the studied isolates. Differences in the abundance and the primary structure of other proteins such as porins also correlated with resistance. LC-MS/MS is a different and complementary method which can be used to characterize antimicrobial resistance in detail as not only the primary resistance causing mechanisms are detected, but also secondary enhancing resistance mechanisms.
Project description:Background: Antimicrobial resistance is generally studied using a combination of growth inhibition measurements, sometimes in combination with DNA detection methods. However, the actual proteins that cause resistance such as enzymes, efflux pumps and a lack of porins cannot be detected by these methods. Improvements in liquid chromatography (LC) and mass spectrometry (MS) enabled easier and more comprehensive proteome analysis. In the current study, these three methods are combined into a multi-omics approach to analyze resistance against frequently used antibiotics within the beta-lactam, aminoglycoside and fluoroquinolone group in E. coli and K. pneumoniae. Objectives: We aimed to analyze which currently known antimicrobial resistance genes are detected at the protein level using liquid chromatography-mass spectrometry (LC-MS/MS) and to assess whether these could explain beta-lactam, aminoglycoside, and fluoroquinolone resistance in the studied isolates. Furthermore, we aimed to identify significant protein to resistance correlations which have not yet been described and to correlate the abundance of different porins to resistance. Methods: Whole genome sequencing, high-resolution LC-MS/MS and antimicrobial susceptibility testing by broth microdilution were performed for 187 clinical E. coli and K. pneumoniae isolates. Resistance genes and proteins were identified using the Comprehensive Antibiotic Resistance Database (CARD). All proteins were annotated using the NCBI RefSeq database and Prokka. Results & Conclusion: Proteins of small spectrum beta-lactamases, extended spectrum beta-lactamases, AmpC beta-lactamases, carbapenemases, and proteins of 16S ribosomal RNA methyltransferases and aminoglycoside acetyltransferases can be detected in E. coli and K. pneumoniae by LC-MS/MS. The detected mechanisms could explain phenotypic resistance in most of the studied isolates. Differences in the abundance and the primary structure of other proteins such as porins also correlated with resistance. LC-MS/MS is a different and complementary method which can be used to characterize antimicrobial resistance in detail as not only the primary resistance causing mechanisms are detected, but also secondary enhancing resistance mechanisms.
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:Comparing transcriptome by means of DNA microarrays of Streptococcus pneumoniae D39 versus D39SM in medium with uracil. Details of this experiment are described in a paper with the title 'Interplay between capsule expression and uracil metabolism in Streptococcus pneumoniae'
Project description:Comparing transcriptome by means of DNA microarrays of Streptococcus pneumoniae D39 versus D39SM in medium without uracil. Details of this experiment are described in a paper with the title 'Interplay between capsule expression and uracil metabolism in Streptococcus pneumoniae'
Project description:Comparing transcriptome by means of DNA microarrays of Streptococcus pneumoniae D39 versus D39PcpsT=>C in medium with uracil. Details of this experiment are described in a paper with the title 'Interplay between capsule expression and uracil metabolism in Streptococcus pneumoniae'
Project description:Comparing transcriptome by means of DNA microarrays of Streptococcus pneumoniae D39 versus D39PcpsT=>C in medium without uracil. Details of this experiment are described in a paper with the title 'Interplay between capsule expression and uracil metabolism in Streptococcus pneumoniae'