Ontology highlight
ABSTRACT:
PROVIDER: PRJNA922098 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR23024072_1.fastq.gz | Fastqsanger.gz | |||
| SRR23024072_2.fastq.gz | Fastqsanger.gz |
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Project description:WGS of KPC-encoding Klebsiella pneumoniae
| PRJNA545921 | ENA
Project description:Elucidating the RamA Regulon in Klebsiella pneumoniae and the transcriptome profiles of multidrug resistant Klebsiella pneumoniae
2017-12-25 | GSE24688 | GEO
Project description:Liao2011 - Genome-scale metabolic
reconstruction of Klebsiella pneumoniae (iYL1228)
This model is described in the article:
An experimentally validated
genome-scale metabolic reconstruction of Klebsiella pneumoniae
MGH 78578, iYL1228.
Liao YC, Huang TW, Chen FC,
Charusanti P, Hong JS, Chang HY, Tsai SF, Palsson BO, Hsiung
CA.
J. Bacteriol. 2011 Apr; 193(7):
1710-1717
Abstract:
Klebsiella pneumoniae is a Gram-negative bacterium of the
family Enterobacteriaceae that possesses diverse metabolic
capabilities: many strains are leading causes of
hospital-acquired infections that are often refractory to
multiple antibiotics, yet other strains are metabolically
engineered and used for production of commercially valuable
chemicals. To study its metabolism, we constructed a
genome-scale metabolic model (iYL1228) for strain MGH 78578,
experimentally determined its biomass composition,
experimentally determined its ability to grow on a broad range
of carbon, nitrogen, phosphorus and sulfur sources, and
assessed the ability of the model to accurately simulate growth
versus no growth on these substrates. The model contains 1,228
genes encoding 1,188 enzymes that catalyze 1,970 reactions and
accurately simulates growth on 84% of the substrates tested.
Furthermore, quantitative comparison of growth rates between
the model and experimental data for nine of the substrates also
showed good agreement. The genome-scale metabolic
reconstruction for K. pneumoniae presented here thus provides
an experimentally validated in silico platform for further
studies of this important industrial and biomedical
organism.
This model is hosted on
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and identified by:
MODEL1507180054.
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To the extent possible under law, all copyright and related or
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2024-10-15 | MODEL1507180054 | BioModels
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.
2021-03-30 | GSE171048 | GEO
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.
2023-04-18 | GSE229867 | GEO
Project description:Purpose: The goal of this study was to use RNA-seq to define the Klebsiella pneumoniae transcriptome recorded under 5 different experimental conditions, and to identify signature genes of each condition by comparing global transcriptional profiles. Methods: mRNA profiles were generated for Klebsiella pneumoniae CH1034 clinical isolate, in triplicate, by deep sequencing. Total RNAs were harvested from bacteria cultured at 37°C in M63B1 minimal media under different conditions: (i) planktonic aerobic condition at OD 620nm=0.250 (exponential growth-phase), (ii) overnight planktonic aerobic condition (stationnary growth-phase), (iii) biofilm in a flow-cell chamber after 7 hours of incubation (7-hours old biofilm), (iv) biofilm in a flow-cell chamber after 13 hours of incubation (13-hours old biofilm), (v) bacteria self-dispersed from biofilm recovered in the flow-cell effluent (biofilm-dispersed bacteria). Ribosomal RNAs were removed using the Bacteria Ribo-Zero Magnetic kit (Epicentre Biotechnologies). Libraries were prepared using the TruSeq Stranded mRNA Sample Preparation kit (Illumina), and 50bp single-reads were obtained by HiSeq 2000 (Illumina).The sequence reads that passed FastQC quality filters were mapped to the CH1034 genome using BurrowsâWheeler Aligner (BWA) (0.7.12-r1039 version). The transcript levels were determined using HTSeq-count (0.6.1p1 version) with union mode followed by DESeq (1.16.0 version) analysis. qRTâPCR validation was performed using SYBR Green assays. Results: We found that each condition has a specific transcriptional profile, and we identify 4 robust signature genes for each. Conclusion: Our study represents the first detailed analysis of K. pneumoniae transcriptomes under different experimental conditions generated by RNA-seq technology. The data reported here should permit the dissection of complex biologic functions involved in the transition between the sessile and planktonic modes of growth. Determination of the transcriptional profiling of Klebsiella pneumoniae under 5 different experimental conditions. mRNA profiles were generated for bacteria under exponential planktonic growth-phase, stationary planktonic growth-phase, 7 hours-old biofilm, 13 hours-old biofilm and biofilm-dispersed modes, each in three biological replicates, by deep sequencing using Illumina HiSeq
2016-03-03 | E-GEOD-71754 | biostudies-arrayexpress