title: Modelling transcriptional networks in leaf senescence.
abstract: The process of leaf senescence is induced by an extensive range of developmental and environmental signals and controlled by multiple, cross-linking pathways, many of which overlap with plant stress-response signals. Elucidation of this complex regulation requires a step beyond a traditional one-gene-at-a-time analysis. Application of a more global analysis using statistical and mathematical tools of systems biology is an approach that is being applied to address this problem. A variety of modelling methods applicable to the analysis of current and future senescence data are reviewed and discussed using some senescence-specific examples. Network modelling with a senescence transcriptome time course followed by testing predictions with gene-expression data illustrates the application of systems biology tools.
authors.affiliation: Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, UK.
authors.forename: Christopher A
authors.initials: CA
authors.lastname: Penfold
authors.affiliation: Warwick Systems Biology Centre, University of Warwick, Coventry CV4 7AL, UK School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK vicky.b-wollaston@warwick.ac.uk.
authors.forename: Vicky
authors.initials: V
authors.lastname: Buchanan-Wollaston
mesh_terms: D001499:Bayes Theorem; D053263:Gene Regulatory Networks; D017343:Genes, Plant; D008957:Models, Genetic; D018515:Plant Leaves / Q000235:genetics* / Q000254:growth & development*; D014158:Transcription, Genetic
keywords: Gene regulation; modelling; senescence; systems biology; transcriptional networks.