Interaction with bacteria or bacterial supernatant
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE1853 | GEO | 2004/10/23
SECONDARY ACCESSION(S): PRJNA90471
REPOSITORIES: GEO
Similar Datasets
Project description:Epithelial cells were in contact either with live bacteria (S. aureus) or with bacterial supernatant during 3 hours. Three dependant experiment for each condition were performed. RNA from epithelial cells were extracted. Each condition was hybridized on 6 slides (3 slides with their corresponding swap)
2010-06-05 | E-GEOD-1853 | biostudies-arrayexpress
Project description:Each condition (cellular interaction with bacteria or with bacterial supernatant) was hybridized on 6 slides (3 slides, corresponding to different interactions and RNA extractions, were swapped). Keywords: parallel sample
2004-06-03 | GSE1444 | GEO
Project description:Each condition (cellular interaction with bacteria or with bacterial supernatant) was hybridized on 6 slides (3 slides, corresponding to different interactions and RNA extractions, were swapped).
2010-06-09 | E-GEOD-1444 | biostudies-arrayexpress
Project description:Pseudomonas aeruginosa and Staphylococcus aureus are often co-isolated in persistent infections. The goal of this study was to determine how secreted products that were identified in S. aureus supernatant affect gene expression in P. aeruginosa. Therefore, media control, the indicated products in media, or S. aureus supernatant was added to P. aeruginosa cultures at 25% total volume and gene expression was measured at 20 min and 2 h using RNA-seq. The individual products induced distinct pathways in P. aeruginosa. The products in combination recapitulated much of the differential gene expression seen in P. aeruginosa in response to S. aureus supernatant.
2022-05-18 | GSE186138 | GEO
Project description:Epithelial cells were in contact with bacteria supernatant during different times of incubation. time course supernatant 10 % MM39 Keywords: time-course
2004-08-26 | GSE1704 | GEO
Project description:Epithelial cells were in contact with bacteria supernatant during different times of incubation. time course supernatant 10 % MM39
2004-08-26 | E-GEOD-1704 | biostudies-arrayexpress
Project description:Background: Staphylococcus aureus is a major pathogen of humans and animals. Host genetics influence the susceptibility to S. aureus infections, and genes determining infection outcome remain to be identified. Here, we used outbred animals from a divergent selection on susceptibility towards Staphylococcus infection to explore host immunogenetics. Methodology/Principal Findings: We investigated in vitro how mammary epithelial cells (MEC) respond to live S. aureus or S. aureus supernatant and whether MEC from animals with different degree of susceptibility to intra-mammary infections have distinct gene expression profiles. We measured the expression of 15K probes in MEC after each kind of stimulation (living bacteria or culture supernatant) at three different time points (a reference without bacteria, 1 and 5 hours) with ovine Agilent microarrays. Furthermore, a selected number of genes were confirmed by RT-qPCR. Gene signatures of stimulated MEC were obtained and genes involved in the cell cycle and metabolic processes were down-regulated during the kinetics and the apoptosis pathways were highly modified after both live bacteria and supernatant stimulations. Genes involved in immune response were up-regulated over-all after supernatant exposure. Furthermore 23 genes were differentially expressed between the resistant and susceptible animals, two of them were involed in oxidative processes, but the differences between the animals were very few. Conclusion/Significance: we successfully obtained Staphylococcus aureus associated gene expression of ovine MEC in a 5 hour kinetics experiment. The in vitro MEC model does not provide much information on the differences between Staphylococcus resistant and susceptible animals. Keywords: Staphylococcus aureus ; mammary epithelial cells ; mammalian ; transcriptome ; immunity ; mastitis 59 samples in a two-colour dye-swap experimental design.
2012-03-01 | E-GEOD-30390 | biostudies-arrayexpress
Project description:Background: Staphylococcus aureus is a major pathogen of humans and animals. Host genetics influence the susceptibility to S. aureus infections, and genes determining infection outcome remain to be identified. Here, we used outbred animals from a divergent selection on susceptibility towards Staphylococcus infection to explore host immunogenetics. Methodology/Principal Findings: We investigated in vitro how mammary epithelial cells (MEC) respond to live S. aureus or S. aureus supernatant and whether MEC from animals with different degree of susceptibility to intra-mammary infections have distinct gene expression profiles. We measured the expression of 15K probes in MEC after each kind of stimulation (living bacteria or culture supernatant) at three different time points (a reference without bacteria, 1 and 5 hours) with ovine Agilent microarrays. Furthermore, a selected number of genes were confirmed by RT-qPCR. Gene signatures of stimulated MEC were obtained and genes involved in the cell cycle and metabolic processes were down-regulated during the kinetics and the apoptosis pathways were highly modified after both live bacteria and supernatant stimulations. Genes involved in immune response were up-regulated over-all after supernatant exposure. Furthermore 23 genes were differentially expressed between the resistant and susceptible animals, two of them were involed in oxidative processes, but the differences between the animals were very few. Conclusion/Significance: we successfully obtained Staphylococcus aureus associated gene expression of ovine MEC in a 5 hour kinetics experiment. The in vitro MEC model does not provide much information on the differences between Staphylococcus resistant and susceptible animals. Keywords: Staphylococcus aureus ; mammary epithelial cells ; mammalian ; transcriptome ; immunity ; mastitis
2012-03-01 | GSE30390 | GEO
Project description:Shotgun proteomics on sterile culture supernatant from S. aureus clinical isolates to determine proteins associated with pro-inflammatory phenotype.
2022-02-22 | PXD028604 | Pride
Project description:Liver and BAT expression differences between the fat F-line, and congenic Fob3b-line. Normalised data appended as follows: TABLE 1: LIVER - 1st set (7.5K) of the 2 slide NIA NIH 15K set -source1 = F-line liver male - 2 pools each made from 5 different individuals -source2 = Fob3b-line (aka Fchr15D-line) liver male - 2 pools each made from 5 different individuals -values are normalised using mixed model across 6 slides: 1 F-line vs Fline 2 Fob3b-line vs Fob3b-line 3 F-line pool1 vs Fob3b-line pool1 4 F-line pool1 vs Fob3b-line pool1 -dye swap 5 F-line pool2 vs Fob3b-line pool2 6 F-line pool2 vs Fob3b-line pool2 -dye swap TABLE 2: LIVER - 2nd set (7.5K) of the 2 slide NIA NIH 15K set -source1 = F-line liver male - 2 pools each made from 5 differnt individuals -source2 = Fob3b-line (aka Fchr15D-line) liver male - 2 pools each made from 5 differnt individuals -values are normalised using mixed model across 6 slides: 1 F-line Vs F-line 2 Fob3b-line vs Fob3b-line 3 F-line pool1 vs Fob3b-line pool2 4 F-line pool1 vs Fob3b-line pool2 dye swap 5 F-line pool2 vs Fob3b-line pool1 6 F-line pool2 vs Fob3b-line pool1 dye swap TABLE 3: Brown Adipose Tissue (BAT) 1st (7.5K) array set of 15K NIA NIH set -source1 = F-line male BAT from 2 pools each made from 5 different individuals -source2 = Fob3b-line (aka Fchr15D-line) male BAT from 2 pools each made from 5 different individuals -values are normalised using mixed model across 4 slides: 1 F-line pool1 vs Fob3b-line pool1 2 F-line pool1 vs Fob3b-line pool1 dye swap 3 F-line pool2 vs Fob3b-line pool2 4 F-line pool2 vs Fob3b-line pool2 dye swap TABLE 4: Brown Adipose Tissue (BAT) 2nd (7.5K) array of the 15K NIA NIH set -source1 = F-line male BAT (2 pools each from 5 individual mice) -source2 = Fob3b-line (aka Fchr15D-line) male BAT (2 pools each from 5 individual mice) -values are normalised using mixed model across 4 slides: 1 F-line pool1 vs Fob3b-line pool1 2 F-line pool1 vs Fob3b-line pool1 dye swap 3 F-line pool2 vs Fob3b-line pool2 4 F-line pool2 vs Fob3b-line pool2 dye swap Keywords = Obesity Keywords = Fob3b Keywords = QTL Keywords = congenic Keywords: other
2004-12-16 | GSE1558 | GEO