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
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 Five replicates from infected chick caecal contents compared to a common reference. Three replicates from in vitro grown Salmonella compared to a common reference. The common reference was genomic DNA and always occupies the Cy3 channel (channel 2).
Project description:Transcriptome analysis of bursa of Fabricius after saline and Salmonella typhimurium lipopolysaccharide treatment in young chickens
Project description:Bacterial infections remain an important cause of morbidity in poultry production. The molecular characteristics and dynamic changes in immune cell populations after bacterial infection have yet to be fully understood. Beijing-You chicken and Cobb broiler, two broiler breeds with different disease resistance, were infected with Salmonella typhimurium, and inflammation models were constructed. We characterized chicken spleen CD45+ immune cells by single-cell RNA sequencing.
Project description:Longitudinal analysis of Salmonella typhimurium mRNA from superspeader mouse cecal content and stool compared to in vitro Salmonella typhimurium mRNA.
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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MODEL1507180058.
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Project description:For this study, thymic transcriptome responses to an acute heat stress and/or lipopolysaccharide (LPS) were investigated in a broiler line (heat and disease susceptible) and an inbred Fayoumi line (heat and disease resistant) of chickens. In a 2 x 2 design, 22 day-old birds were exposed to heat stress (35°C for 7 hours), lipopolysaccharide (100 µg/kg average body weight per line), or both stressors. Thermoneutral temperature (25°C) and phosphate buffered saline were used as the respective controls. Tissue samples were collected from the thymus and used to isolate high quality RNA. cDNA libraries (n = 31) were constructed and sequenced on the HiSeq 2500.