Project description:This SuperSeries is composed of the following subset Series: GSE35746: Comparative analysis of regulatory elements between Escherichia coli and Klebsiella pneumoniae by genome-wide transcription start site profiling [tiling arrays] GSE35821: Comparative analysis of regulatory elements between Escherichia coli and Klebsiella pneumoniae by genome-wide transcription start site profiling [TSS-Seq] Refer to individual Series
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 AJ218.
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 KPC2.
Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of transcription start sites for two enterobacteria: Escherichia coli and Klebsiella pneumoniae.By obtaining over fourteen billion bases of sequence from 5' RACE (rapid amplification of cDNA ends) followed by deep sequencing, we generated genome-wide TSS (transcription start site) maps for those two species. With experimentally derived TSS datasets, we examined usage of multiple TSSs, length of 5' UTR (untranslated region), SD (Shine-Dalgarno) sequence motif, promoter sequence motif, and dinucleotide preference near TSS site. In addition, we used the TSS datasets to identify sRNAs (small RNAs) in E. coli and K. pneumoniae. Based on these analysis, we compared regulatory elements including promoter, 5' UTR and sRNAs between two species, and investigated similarities and differences of upstream regulatory regions. Moreover, sRNAs were also compared and analyzed in terms of their sequences and target sequences, presenting possible working mechanisms of K. pneumoniae sRNAs by transferring prior knowledge from E. coli sRNAs. Examination of transcription start sites by biological duplicates from E. coli and K. pneumoniae
Project description:Klebsiella pneumoniae is an arising threat to human health. However, host immune responses in response to this bacterium remain to be elucidated. The goal of this study was to identify the dominant host immune responses associated with Klebsiella pneumoniae pulmonary infection. Pulmonary mRNA profiles of 6-8-weeks-old BALB/c mice infected with/without Klebsiella pneumoniae were generated by deep sequencing using Illumina Novaseq 6000. qRT–PCR validation was performed using SYBR Green assays. Using KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis, we identified several immune associated pathways, including complement and coagulation cascades, Toll-like receptor signaling pathway, Rap1 signaling pathway, chemokine signaling pathway, TNF signaling pathway, phagosome and NOD-like receptor signaling pathway, were involved in Klebsiella pneumoniae pulmonary infection. Using ICEPOP (Immune CEll POPulation) analysis, we found that several cell types were involved in the host immune response to Klebsiella pneumoniae pulmonary infection, including dendritic cells, macrophages, monocytes, NK (natural killer) cells, stromal cells. Further, IL-17 chemokines were significantly increased during Klebsiella pneumoniae infection. This study provided evidence for further studying the pathogenic mechanism of Klebsiella pneumoniae pneumonia infection.
Project description:The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (Escherichia coli, Klebsiella pneumoniae complex, Staphylococcus aureus, Streptococcus pneumoniae and Streptococcus pyogenes, 5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. This submission contains the results from six Klebsiella strains (four Klebsiella variicola: AJ005, AJ292, 03-311-0071, 04153260899A and two Klebsiella pneumoniae: AJ218, KPC2) grown in either RPMI or pooled human sera. Six replicates of each condition were subjected to shotgun proteomics and label-free MS1-based quantitation.