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Gene expression profiling in Salmonella Typhimurium stimulated heterophils using a chicken 44K Agilent microarray

ABSTRACT: To determine the host response to Salmonella Typhimurium (ST) in heterophils, a whole chicken genome array was used to analyze RNA isolated from heterophils stimulated in vitro with ST (30 min, 1 h, 2 h, and 3 h) or medium control (NS). Dual-color, direct comparisons were carried between ST-stimulated and non-stimulated controls (30 min vs. NS (30M/NS), 1 h vs. NS (1HR/NS), 2 h vs. NS (2HR/NS) and 3 h vs. NS (3HR/NS)). Each comparison includes four biological replicates. There were 2791, 3744, 12947 and 12482 genes differentially expressed in the comparisons of 30M/NS, 1HR/NS, 2HR/NS and 3HR/NS, respectively (P < 0.001) , while 50, 82, 153, and 146 genes were related to immune function, respectively. More than 80% of immune-related genes overlapped between the comparisons (30M/NS vs. 1HR/NS, 1HR/NS vs. 2HR/NS, and 2HR/NS vs. 3HR/NS). These candidate genes include cytokines (e.g. Interleukin (IL) 1β, -6, -10B and -12B), chemokines (e.g. IL-8, CCL4, K60 and K203) and cluster of differentiation (CD) markers (e.g. CD44, -47 and -83). A relatively large increase in the number of differentially expressed immune-related genes was observed between 1 h and 2 h post-stimulation. The results of continuous transcriptional change provide important information to elucidate both the cellular and molecular mechanisms of ST stimulation in chickens.

ORGANISM(S): Gallus gallus

PROVIDER: GSE14684 | GEO | 2010/04/13

SECONDARY ACCESSION(S): PRJNA111669

REPOSITORIES: GEO

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Project description:This a model from the article: Stress-specific response of the p53-Mdm2 feedback loop Alexander Hunziker, Mogens H Jensen and Sandeep Krishna BMC Systems Biology 2010, Jul 12;4(1):94 20624280, Abstract: ABSTRACT: BACKGROUND: The p53 signalling pathway has hundreds of inputs and outputs. It can trigger cellular senescence, cell-cycle arrest and apoptosis in response to diverse stress conditions, including DNA damage, hypoxia and nutrient deprivation. Signals from all these inputs are channeled through a single node, the transcription factor p53. Yet, the pathway is flexible enough to produce different downstream gene expression patterns in response to different stresses. RESULTS: We construct a mathematical model of the negative feedback loop involving p53 and its inhibitor, Mdm2, at the core of this pathway, and use it to examine the effect of different stresses that trigger p53. In response to DNA damage, hypoxia, etc., the model exhibits a wide variety of specific output behaviour -- steady states with low or high levels of p53 and Mdm2, as well as spiky oscillations with low or high average p53 levels. CONCLUSIONS: We show that even a simple negative feedback loop is capable of exhibiting the kind of flexible stress-specific response observed in the p53 system. Further, our model provides a framework for predicting the differences in p53 response to different stresses and single nucleotide polymorphisms. The parameters of the model corresponds to the resting state, with delta = 11hr-1, gamma = 0.2hr-1, kt = 0.03nM-1hr-1 and kf = 5000nM-1hr-1. To simulate different stress conditions as in figure 2A (also look at the curation figure of this model) of the reference publication, the above parameter should be changed. The parameter values corresponding to different stress conditions are shown in the following table. Stress Condition/Parameter delta gamma kt kf Nutlin 11hr-1 0.2hr-1 0.03nM-1hr-1 500nM-1hr-1 Oncogene 2hr-1 0.2hr-1 0.03nM-1hr-1 5000nM-1hr-1 DNA damage 2hr-1 0.5hr-1 0.03nM-1hr-1 2500nM-1hr-1 Hypoxia 2hr-1 0.2hr-1 0.01nM-1hr-1 5000nM-1hr-1 This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2011 The BioModels.net Team.For more information see the terms of use.To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

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Gene expression profiling in Salmonella Typhimurium stimulated heterophils using a chicken 44K Agilent microarray

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