Project description:The central role of transcriptional regulation in integrating various low temperature response mechanisms has been established in Arabidopsis, where the CBF/DREB regulon plays a prominent role during acclimation. Rice is sensitive to chilling but many japonica cultivars can survive continuous exposure to as low as 10oC for up to 7 days during the most critical stage of seedling establishment better than most indica cultivars. The transcriptional regulatory networks that define this variation have not been studied in detail as cold acclimation has been scrutinized in Arabidopsis. Towards the comparison of the compositional complexity of low temperature response regulons of rice and Arabidopsis, we used the cultivar Nipponbare for genome-wide survey of regulatory clusters by integrative analysis of promoter architectures and temporal expression profiles during exposure to 10oC at narrow time intervals. Temporal profiles revealed major clusters of genes that were induced within the initial 24 hours. These clusters were further defined by common features of having either CRT/DRE-like elements, as1/ocs-like elements or both in their promoters. Genes containing as1/ocs-like elements with or without CRT/DRE, but not those containing only CRT/DRE-like elements were induced by exogenous H2O2 but not by ABA at ambient temperature, suggesting that they belong to a potential regulon (ROS-bZIP – as1/ocs module) that responds to elevated levels of reactive oxygen species (ROS) during the initial stages of stress. Parallel analysis of transcription factors during the initial 12 hours revealed candidate regulator(s) of this putative early response regulon. Cultivar-specific expression signatures of selected members of this regulatory cluster were also positively correlated with genotypic variation in chilling tolerance. We hypothesized that the ROS-bZIP – as1/ocs cluster has important roles in configuring the transcriptome of rice seedlings during the early stages of chilling stress and it appears to be independent of ABA and functions in parallel to the CBF/DREB regulon. Keywords: time course (response to low temperature)

Project description:The central role of transcriptional regulation in integrating various low temperature response mechanisms has been established in Arabidopsis, where the CBF/DREB regulon plays a prominent role during acclimation. Rice is sensitive to chilling but many japonica cultivars can survive continuous exposure to as low as 10oC for up to 7 days during the most critical stage of seedling establishment better than most indica cultivars. The transcriptional regulatory networks that define this variation have not been studied in detail as cold acclimation has been scrutinized in Arabidopsis. Towards the comparison of the compositional complexity of low temperature response regulons of rice and Arabidopsis, we used the cultivar Nipponbare for genome-wide survey of regulatory clusters by integrative analysis of promoter architectures and temporal expression profiles during exposure to 10oC at narrow time intervals. Temporal profiles revealed major clusters of genes that were induced within the initial 24 hours. These clusters were further defined by common features of having either CRT/DRE-like elements, as1/ocs-like elements or both in their promoters. Genes containing as1/ocs-like elements with or without CRT/DRE, but not those containing only CRT/DRE-like elements were induced by exogenous H2O2 but not by ABA at ambient temperature, suggesting that they belong to a potential regulon (ROS-bZIP – as1/ocs module) that responds to elevated levels of reactive oxygen species (ROS) during the initial stages of stress. Parallel analysis of transcription factors during the initial 12 hours revealed candidate regulator(s) of this putative early response regulon. Cultivar-specific expression signatures of selected members of this regulatory cluster were also positively correlated with genotypic variation in chilling tolerance. We hypothesized that the ROS-bZIP – as1/ocs cluster has important roles in configuring the transcriptome of rice seedlings during the early stages of chilling stress and it appears to be independent of ABA and functions in parallel to the CBF/DREB regulon. Keywords: time course (response to low temperature) This experiment describes the analysis of the temporal changes in gene expression in response to chilling temperature in Nipponbare rice. A total of 10 stress time points, i.e., 0.5, 2, 4, 6, 12, 18, 24, 36, 48, and 96 hrs after exposure to 10C in a growth chamber and one recovery time point, i.e., 96 hrs at 10C and then 24 hrs (24R) at ambient or control temperature (29C), were profiled with reference to a corresponding control, which was exposed to ambient temperature (29C) for the same length of time under cold stress (each stress time point has a corresponding control sample). Control and cold stress samples were labeled with Cy5 and Cy3, respectively. No dye swap replicate was performed in this experiment. The microarray platform used in this study was the 45K oligonucleotide microarray (www.ricearray.org) which comes in pairs of slides A and B (each containing about 50% of the total number of features). The data described in this series include all hybridizations with slide A and with slide B. All experiments were performed with two independent biological replicates (R1 and R2) for each time point.

Project description:This model is from the article: Heterogeneity Reduces Sensitivity of Cell Death for TNF-Stimuli Schliemann M, Bullinger E, Borchers S, Allgower F, Findeisen R, Scheurich P. BMC Syst Biol. 2011 Dec 28;5(1):204. 22204418 , Abstract: BACKGROUND: Apoptosis is a form of programmed cell death essential for the maintenance of homeostasis and the removal of potentially damaged cells in multicellular organisms. By binding its cognate membrane receptor, TNF receptor type 1 (TNF-R1), the proinflammatory cytokine Tumor Necrosis Factor (TNF) activates pro-apoptotic signaling via caspase activation, but at the same time also stimulates nuclear factor kappaB (NF-kappaB)-mediated survival pathways. Differential dose-response relationships of these two major TNF signaling pathways have been described experimentally and using mathematical modeling. However, the quantitative analysis of the complex interplay between pro- and anti-apoptotic signaling pathways is an open question as it is challenging for several reasons: the overall signaling network is complex, various time scales are present, and cells respond quantitatively and qualitatively in a heterogeneous manner. RESULTS: This study analyzes the complex interplay of the crosstalk of TNF-R1 induced pro- and anti-apoptotic signaling pathways based on an experimentally validated mathematical model. The mathematical model describes the temporal responses on both the single cell level as well as the level of a heterogeneous cell population, as observed in the respective quantitative experiments using TNF-R1 stimuli of different strengths and durations. Global sensitivity of the heterogeneous population was quantified by measuring the average gradient of time of death versus each population parameter. This global sensitivity analysis uncovers the concentrations of Caspase-8 and Caspase-3, and their respective inhibitors BAR and XIAP, as key elements for deciding the cell's fate. A simulated knockout of the NF-kappaB-mediated anti-apoptotic signaling reveals the importance of this pathway for delaying the time of death, reducing the death rate in the case of pulse stimulation and significantly increasing cell-to-cell variability. CONCLUSIONS: Cell ensemble modeling of a heterogeneous cell population including a global sensitivity analysis presented here allowed us to illuminate the role of the different elements and parameters on apoptotic signaling. The receptors serve to transmit the external stimulus; procaspases and their inhibitors control the switching from life to death, while NF-kappaB enhances the heterogeneity of the cell population. The global sensitivity analysis of the cell population model further revealed an unexpected impact of heterogeneity, i.e. the reduction of parametric sensitivity. Note: SBML model generated from Matlab system description on 12-July-2011 21:08:15 by exportSBML Copyright Eric Bullinger 2007-2011

			Action	DRS
	MODEL1911140002?filename=Tiwari2019.cps	Other
	MODEL1911140002?filename=Tiwari2019.sedml	Other
	MODEL1911140002?filename=Tiwari2019.xml	Xml

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Tiwari2019 - Mathematical model of NFKB regulatory module with TNF and ROS

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