Project description:Bacterial infections of wounds are associated with poor healing and worse scarring. We sought to identify transcriptomic patterns associated with impaired healing of wounds infected with Klebsiella pneumoniae (K.p.) or Pseudomonas aeruginosa (P.a.) using a rabbit ear wound model. Wounds created on post-operative day (POD) 0 were infected on POD3, within the inflammatory phase of healing. On POD4 the infected wounds were harvested for microarray/transcriptome analysis. Other wounds with 24-hour infections were treated with topical antibiotic to promote biofilm formation and harvested on POD6 or POD12. On POD4 before antibiotic treatment, both wounds contained elevated transcripts that enriched predominantly into inflammation/infection-response pathways and functions characteristic of infiltrating leukocytes. But there were 5-fold more elevated transcripts in P.a.- than K.p.-infected wounds. Additionally, unique to P.a.-infected wounds, was a minor network of inflammation/infection-response molecules with predicted upstream regulation predominated by type I interferons. Also on POD4, Dnr-transcripts of both wounds were enriched into stress-response pathways such as EIF2 signaling. But there were 8-fold more Dnr-transcripts in P.a.- than K.p.-infected wounds, and many more of them enriched in the function, cell death, suggesting that resident dermal cells of P.a.-infected wounds failed to survive a more destructive P.a. infection. On POD6, following two days of antibiotic treatment, the biofilm-colonized wounds expressed magnitudes fewer inflammation and stress-response transcripts. However, a single regulatory network of P.a.-infected wounds was found to consist of Upr-transcripts enriching immune/infection-response functions predicted to be regulated by type I interferons, which was similar to the network unique to P.a.-infected wounds on POD4. On POD12, genes expressed by K.p.-infected wounds suggesting healing, while for P.a.-infected wounds they suggested stalled healing. The similarities and differences between the wound responses to these infections further define the molecular foundations of healing impaired by infections. Rabbit ear Wounds created on post-operative day (POD) 0 were infected with Klebsiella pneumoniae (K.p.) or Pseudomonas aeruginosa (P.a.) on POD3 and harvested on POD4 for RNA extraction. Other wounds with 24-hour infections were treated with topical antibiotic to promote biofilm formation and harvested on POD6 or POD12.
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:To investigate the whole-genome gene expression difference between the wild-type and capsule deletion mutant in Klebsiella pneumoniae MGH 78578. The mutants analyzed in this study are further described in Huang T.W., Stapleton J.C., Chang H.Y., Tsai S.F., Palsson B.O., Charusanti P. Capsule removal via lambda-Red knockout system perturbs biofilm formation and fimbriae extression in Klesiella pneumoniae MGH 78578 (manuscript submission) A six chip study using total RNA recovered from three separate wild-type cultures and three separate cultures of a capsule deltion mutant of Klebsiella pneumoniae MGH 78578. The capsule gene cluster (KPN_02493 to KPN_02515) was entirely removed in the capsule deletion mutant. Each chip measures the expression level of 5,305 genes from Klebsiella pneumoniae MGH 78578 and the associated five plasmids (pKPN3, pKPN4, pKPN5, pKPN6 and pKPN7) with 50-mer oligo tiling array with 30-mer spacer.
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:Klebsiella pneumoniae poses a significant global health threat primarily attributable to its pronounced resistance. Here, we report an in vitro acquired resistance analyses of K. pneumoniae to the combination of amikacin and polymyxin B. We found some differentially expressed genes associated with the resistome of K. pneumoniae. The main differences were found in the genes aphA, asmA, phoP, and in the arn operon. Once these genes are related to modification in lipopolysaccharides, aminoglycosides and in the membrane structure, the mechanisms associated with them can justify the resistance acquisition to amikacin and polymyxin b.
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.