Rule-Based Cell Systems Model of Aging using Feedback Loop Motifs Mediated by Stress Responses

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Rule-Based Cell Systems Model of Aging using Feedback Loop Motifs Mediated by Stress Responses

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Title: Rule-Based Cell Systems Model of Aging using Feedback Loop Motifs Mediated by Stress Responses
Author: Kriete, Andres; Booker, Glenn; Bosl, William

Note: Order does not necessarily reflect citation order of authors.

Citation: Kriete, Andres, William J. Bosl, and Glenn Booker. 2010. Rule-based cell systems model of aging using feedback loop motifs mediated by stress responses. PLoS Computational Biology 6(6): e1000820.
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Abstract: Investigating the complex systems dynamics of the aging process requires integration of a broad range of cellular processes describing damage and functional decline co-existing with adaptive and protective regulatory mechanisms. We evolve an integrated generic cell network to represent the connectivity of key cellular mechanisms structured into positive and negative feedback loop motifs centrally important for aging. The conceptual network is casted into a fuzzy-logic, hybrid-intelligent framework based on interaction rules assembled from a priori knowledge. Based upon a classical homeostatic representation of cellular energy metabolism, we first demonstrate how positive-feedback loops accelerate damage and decline consistent with a vicious cycle. This model is iteratively extended towards an adaptive response model by incorporating protective negative-feedback loop circuits. Time-lapse simulations of the adaptive response model uncover how transcriptional and translational changes, mediated by stress sensors NF-κB and mTOR, counteract accumulating damage and dysfunction by modulating mitochondrial respiration, metabolic fluxes, biosynthesis, and autophagy, crucial for cellular survival. The model allows consideration of lifespan optimization scenarios with respect to fitness criteria using a sensitivity analysis. Our work establishes a novel extendable and scalable computational approach capable to connect tractable molecular mechanisms with cellular network dynamics underlying the emerging aging phenotype.
Published Version: doi:10.1371/journal.pcbi.1000820
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2887462/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4632772

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