Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-53280
PROVIDER: PRJNA231559 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptomic profiling of HeLa cells infected with Salmonella Typhimurium
2019-05-14 | E-GEOD-53280 | ExpressionAtlas
Project description:Profiling of miRNA expression of HeLa cells infected with Salmonella Typhimurium
| PRJNA231558 | ENA
Project description:To have a global picture of the miRNAs regulated upon Salmonella infection, we assessed small RNA changes, by RNA-sequencing, of HeLa cells infected with Salmonella Typhimurium compared with mock-treated cells . In addtion to the total population, we evaluated miRNA expression in the fraction of HeLa cells with internalized bacteria (Salmonella-positive), as well as in bystander cells, separated by fluorescence activated cell sorting (FACS)
2021-04-12 | GSE147362 | GEO
Project description:We evaluated the transcriptome changes induced by infection with Salmonella (20 hpi, MOI 100). Transcriptmic profiles of HeLa cells infected with Salmonella Typhimurium were generated by deep sequencing, using Illumina HiSeq 2000.
2014-07-18 | E-GEOD-53280 | biostudies-arrayexpress
Project description:It is becoming increasingly clear that cells infected with pathogens can signal to bystander cells. Infected cells have the ability to alert and instruct bystander cells to mount pro-inflammatory cytokine response, thus contributing to clearing infections. Here we analyse secretome of HeLa cells infected with Salmonella enterica serovar Typhimurium strain SL1344. Cells were infected with a MOI of 100 for 14 hours. Secretome from mock- and Salmonella-infected cells was collected for mass-spectrometry analysis.
2021-04-16 | PXD018026 | Pride
Project description:We identified miRNAs differentially regulated upon Salmonella infection by comparative deep-sequencing analysis of cDNA libraries prepared from the small RNA population (10M-bM-^@M-^S29 nt) of HeLa cells infected with Salmonella (20 hpi) and mock-treated cells. Considering that at a MOI of 25 Salmonella is internalized in only 10-15% of the HeLa cells, we separated the fraction of cells which had internalized Salmonella (Salmonella+) from the bystander fraction (Salmonella-) by fluorescence-activated cell sorting (FACS), and extended the analysis of miRNA changes to these samples. Interestingly, we observed that Salmonella infection induces a significant decrease in the expression of all the detected members of the miR-15 family miRNA profiles of HeLa cells infected with Salmonella Typhimurium were generated by deep sequencing, using Illumina HiSeq2000.
2014-07-18 | E-GEOD-53278 | biostudies-arrayexpress
Project description:Transcriptomic profiling of HeLa cells infected with Shigella flexneri
| PRJNA305266 | ENA
Project description:RNA from in vitro grown Salmonella typhimurium is compared with RNA extracted from Salmonella typhimurium from infected chick caecums using a common DNA reference. Keywords: Disease state analysis, infected versus uninfected, common reference
2008-02-12 | GSE10337 | GEO
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
2010-09-25 | GSE24338 | GEO
Project description:Raghunathan2009 - Genome-scale metabolic
network of Salmonella typhimurium (iRR1083)
This model is described in the article:
Constraint-based analysis of
metabolic capacity of Salmonella typhimurium during
host-pathogen interaction.
Raghunathan A, Reed J, Shin S,
Palsson B, Daefler S.
BMC Syst Biol 2009; 3: 38
Abstract:
BACKGROUND: Infections with Salmonella cause significant
morbidity and mortality worldwide. Replication of Salmonella
typhimurium inside its host cell is a model system for studying
the pathogenesis of intracellular bacterial infections.
Genome-scale modeling of bacterial metabolic networks provides
a powerful tool to identify and analyze pathways required for
successful intracellular replication during host-pathogen
interaction. RESULTS: We have developed and validated a
genome-scale metabolic network of Salmonella typhimurium LT2
(iRR1083). This model accounts for 1,083 genes that encode
proteins catalyzing 1,087 unique metabolic and transport
reactions in the bacterium. We employed flux balance analysis
and in silico gene essentiality analysis to investigate growth
under a wide range of conditions that mimic in vitro and host
cell environments. Gene expression profiling of S. typhimurium
isolated from macrophage cell lines was used to constrain the
model to predict metabolic pathways that are likely to be
operational during infection. CONCLUSION: Our analysis suggests
that there is a robust minimal set of metabolic pathways that
is required for successful replication of Salmonella inside the
host cell. This model also serves as platform for the
integration of high-throughput data. Its computational power
allows identification of networked metabolic pathways and
generation of hypotheses about metabolism during infection,
which might be used for the rational design of novel
antibiotics or vaccine strains.
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2015-07-30 | MODEL1507180058 | BioModels