Gallus gallus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA130613 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:RNA samples from chicken (Gallus gallus) embryonic fibroblasts (sample ID: ES90) as well as from the HD11 chicken macrophage cell line (sample ID: ES91) were sequenced at the National Institutes of Health Intramural Sequencing Center (NISC) using the Illumina GAIIx technology running the standard CASAVA/ELAND pipeline.
2013-08-01 | E-MTAB-1479 | biostudies-arrayexpress
Project description:HD11 cells were stimulated with 1 ug/ml endotoxin from ST-798 for 1, 2, 4 and 8 hours Cells were harvested at 1, 2, 4 and 8 hrs post stimulation and RNA was isolated from these cells and microarray was conducted for these RNA samples using affymetrix genechips
2010-10-19 | GSE23881 | GEO
Project description:We infected HD11 macrophages with Salmonella Typhimurium, followed by chemical proteomic analysis of deubiquitinases by using ubiquitin-specific active-site probe.
2018-10-24 | PXD002594 | Pride
Project description:HD11 cells were stimulated with 1 ug/ml endotoxin from ST-798 for 1, 2, 4 and 8 hours Cells were harvested at 1, 2, 4 and 8 hrs post stimulation and RNA was isolated from these cells and microarray was conducted for these RNA samples using affymetrix genechips The microarray experiment was conducted using three replications. The first two replications each used one experimental unit and one Affymetrix GeneChip for each of the eight combinations of endotoxin dose (treated vs. control) and time (1, 2, 4, or 8 hours after treatment). The third replication was analyzed with four GeneChips for four endotoxin-treated experimental units measured at 1, 2, 4, and 8 hours after treatment, respectively.
2010-10-19 | E-GEOD-23881 | biostudies-arrayexpress
Project description:Salmonella enterica is one of the most important foodborne pathogens that infect a variety of animals and birds. In humans, S. Typhimurium causes gastroenteritis, leading to vomiting, diarrhea, fever, and abdominal cramps. We mainly get infected with Salmonella by ingesting comminated poultry products. Therefore, developing an oral live attenuated vaccine for the poultry industry is our best bet against Salmonella infection. In this article, we investigated the potential of the next generation of Salmonella vaccines. We generated a library of potentially attenuated S. Typhimurium mutants and compared fitness to that of a commercial vaccine. We also investigated the invasion and survival potential of these mutants in chicken macrophages. Our data indicate that although these mutants had no significant growth defects, they were much sensitive to macrophage attack. Analyzing the transcriptome data from infected primary chicken macrophages, we concluded that these mutants elicit a robust immune response by activating several immunoregulatory pathways. Our data also indicates that by combining phoPQ deletion with an already existing cya-crp deletion in MeganVac1, a much stronger immune response can be generated.
2022-05-25 | GSE193063 | GEO
Project description:The response of chicken to non-typhoidal Salmonella infection is becoming well characterised but the role of particular cell types in this response is still far from being understood. Therefore, in this study we characterised the response of chicken embryo fibroblasts (CEFs) to infection with two different S. Enteritidis strains by microarray analysis. The expression of chicken genes identified as significantly up- or down-regulated (≥3-fold) by microarray analysis was verified by real-time PCR followed by functional classification of the genes and prediction of interactions between the proteins using Gene Ontology and STRING Database. Finally the expression of the newly identified genes was tested in HD11 macrophages and in vivo in chickens. Altogether 19 genes were induced in CEFs after S. Enteritidis infection. Twelve of them were also induced in HD11 macrophages and thirteen in the caecum of orally infected chickens. The majority of these genes were assigned different functions in the immune response, however five of them (LOC101750351, K123, BU460569, MOBKL2C and G0S2) have not been associated with the response of chicken to Salmonella infection so far. K123 and G0S2 were the only 'non-immune' genes inducible by S. Enteritidis in fibroblasts, HD11 macrophages and in the caecum after oral infection. The function of K123 is unknown but G0S2 is involved in lipid metabolism and in β-oxidation of fatty acids in mitochondria. Increased levels of G0S2 might decrease the availability of fatty acids to mitochondria. In non-professional phagocytes such as CEFs, this may lead to the dysfunction of mitochondria, apoptosis of CEFs and release of intracellular Salmonella. In professional phagocytes, G0S2 might be involved in the control of mitochondrial respiration, resulting in a decrease of reactive oxygen species as respiration by-products and lower damage to tissue.
2015-06-12 | GSE67459 | GEO
Project description:The response of chicken to non-typhoidal Salmonella infection is becoming well characterised but the role of particular cell types in this response is still far from being understood. Therefore, in this study we characterised the response of chicken embryo fibroblasts (CEFs) to infection with two different S. Enteritidis strains by microarray analysis. The expression of chicken genes identified as significantly up- or down-regulated (≥3-fold) by microarray analysis was verified by real-time PCR followed by functional classification of the genes and prediction of interactions between the proteins using Gene Ontology and STRING Database. Finally the expression of the newly identified genes was tested in HD11 macrophages and in vivo in chickens. Altogether 19 genes were induced in CEFs after S. Enteritidis infection. Twelve of them were also induced in HD11 macrophages and thirteen in the caecum of orally infected chickens. The majority of these genes were assigned different functions in the immune response, however five of them (LOC101750351, K123, BU460569, MOBKL2C and G0S2) have not been associated with the response of chicken to Salmonella infection so far. K123 and G0S2 were the only 'non-immune' genes inducible by S. Enteritidis in fibroblasts, HD11 macrophages and in the caecum after oral infection. The function of K123 is unknown but G0S2 is involved in lipid metabolism and in β-oxidation of fatty acids in mitochondria. Increased levels of G0S2 might decrease the availability of fatty acids to mitochondria. In non-professional phagocytes such as CEFs, this may lead to the dysfunction of mitochondria, apoptosis of CEFs and release of intracellular Salmonella. In professional phagocytes, G0S2 might be involved in the control of mitochondrial respiration, resulting in a decrease of reactive oxygen species as respiration by-products and lower damage to tissue. In this study we were interested whether chicken embryo fibroblast (CEFs) respond to S. Enteritidis infection and to what extent their response differs from that of other cells and caecal tissue. To address this, we characterised the gene expression of CEFs after infection with two different wild-type S. Enteritidis strains of poultry origin - SE 147 and SE 11 - using Agilen custom 8×15K microarrays. In total, 13,681 probes were designed to characterise the expression of ~9,000 transcripts of Gallus gallus.
2015-06-12 | E-GEOD-67459 | biostudies-arrayexpress
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.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180058.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
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Public Domain Dedication for more information.
2015-07-30 | MODEL1507180058 | BioModels
Project description:Gene expression profiling in Salmonella Typhimurium stimulated heterophils using a chicken 44K Agilent microarray
| PRJNA111669 | ENA
Project description:To investigate the extent to which macrophages respond to Salmonella infection, researchers infected RAW 264.7 macrophages with Salmonella enterica serotype Typhimurium and analyzed macrophage proteins at various time points following infection by using a global proteomic approach.
2013-10-07 | PXD000389 | Pride