Project description:We have isolated and characterized several bacteriophages infecting Pseudomonas aeruginosa distantly related to Felix O1 virus and proposed they form a new subfamily named Felixounavirinae. The infectious cycle of bacteriophages belonging to this subfamily has not been studied yet in terms of gene expression. The present study reports the RNA-Seq analysis of bacteriophage PAK_P3 infecting PAK strain of P. aeruginosa.
Project description:We have isolated and characterized several bacteriophages infecting Pseudomonas aeruginosa distantly related to Felix O1 virus and proposed they form a new subfamily named Felixounavirinae. The infectious cycle of bacteriophages belonging to this subfamily has not been studied yet in terms of gene expression. The present study reports the RNA-Seq analysis of bacteriophage PAK_P4 infecting PAK strain of P. aeruginosa.
Project description:The increasing antibiotic resistance of Klebsiella pneumoniae poses a serious threat to global public health. To investigate the antibiotic resistance mechanism of Klebsiella pneumonia, we performed gene expression profiling analysis using RNA-seq data for clinical isolates of Klebsiella pneumonia, KPN16 and ATCC13883. Our results showed that mutant strain KPN16 is likely to act against the antibiotics through increased increased butanoate metabolism and lipopolysaccharide biosynthesis, and decreased transmembrane transport activity.
Project description:We have isolated and characterized several bacteriophages infecting Pseudomonas aeruginosa distantly related to Felix O1 virus and proposed they form a new subfamily named Felixounavirinae. The infectious cycle of bacteriophages belonging to this subfamily has not been studied yet in terms of gene expression. The present study reports the RNA-Seq analysis of bacteriophage PAK_P3 infecting PAK strain of P. aeruginosa. RNA profile of Host and Phage at 0min, 3.5min and 13 min after infection of Pseudomonas aeruginosa PAK strain with the Pseudomonas phage PAK P3. Three biological replicates for each time point.
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.
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 Klebsiella pneumoniae complex strains AJ055, AJ218, AJ292, KPC2, 03-311-0071 and 04153260899A.
