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dc.contributor.authorFu, Yanen
dc.contributor.authorJiang, Xiaoshanen
dc.contributor.authorZhang, Hangen
dc.contributor.authorXing, Jianhuaen
dc.date.accessioned2013-09-23T18:50:54Zen
dc.date.available2013-09-23T18:50:54Zen
dc.date.issued2012-12-17en
dc.identifier.citationFu, Y., Jiang, X., Zhang, H., and Xing, J. (2012) A strategy to study pathway cross-talks of cells under repetitive exposure to stimuli. BMC Systems Biology 2012, 6(Suppl 3):S6. doi:10.1186/1752-0509-6-S3-S6en
dc.identifier.urihttp://hdl.handle.net/10919/23832en
dc.description.abstractBackground Cells are subject to fluctuating and multiple stimuli in their natural environment. The signaling pathways often crosstalk to each other and give rise to complex nonlinear dynamics. Specifically repetitive exposure of a cell to a same stimulus sometime leads to augmented cellular responses. Examples are amplified proinflammatory responses of innate immune cells pretreated with a sub-threshold then a high dose of endotoxin or cytokine stimulation. This phenomenon, called priming in the literature, has important pathological and clinical significances. Results In a previous study, we enumerated possible mechanisms for priming using a three-node network model. The analysis uncovered three mechanisms. Based on the results, in this work we developed a straightforward procedure to identify molecular species candidates contributing to the priming effect and the corresponding mechanisms. The procedure involves time course measurements, e.g., gene expression levels, or protein activities under low, high, and low + high dose of stimulant, then computational analysis of the dynamics patterns, and identification of functional roles in the context of the regulatory network. We applied the procedure to a set of published microarray data on Inteferon- priming of human macrophages. The analysis identified a number of network motifs possibly contributing to Interferon- priming. A further detailed mathematical model analysis further reveals how combination of different mechanisms leads to the priming effect. Conclusions One may perform systematic screening using the proposed procedure combining with high throughput measurements, at both transcriptome and proteome levels. It is applicable to various priming phenomena.en
dc.description.sponsorshipNational Science Foundation (DMS-0969417) National Institute of Allergy and Infectious Diseases (AI099120-01) Virginia Tech Open Access Subvention Fund.en
dc.format.mimetypeapplication/pdfen
dc.language.isoen_USen
dc.publisherBMC Systems Biologyen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectHigh throughputen
dc.subjectSystems biologyen
dc.subjectRegulatory networken
dc.subjectMathematical modelen
dc.titleA strategy to study pathway cross-talks of cells under repetitive exposure to stimulien
dc.typeArticle - Refereeden
dc.contributor.departmentBiological Sciencesen
dc.identifier.urlhttp://www.biomedcentral.com/1752-0509/6/S3/S6en
dc.identifier.doihttps://doi.org/10.1186/1752-0509-6-S3-S6en
dc.type.dcmitypeTexten


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