Modelling signaling networks underlying plant defence

Oliver Windram; Katherine J. Denby

doi:10.1016/j.pbi.2015.07.007

Modelling signaling networks underlying plant defence

Oliver Windram, Katherine J. Denby^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Transcriptional reprogramming plays a significant role in governing plant responses to pathogens. The underlying regulatory networks are complex and dynamic, responding to numerous input signals. Most network modelling studies to date have used large-scale expression data sets from public repositories but defence network models with predictive ability have also been inferred from single time series data sets, and sophisticated biological insights generated from focused experiments containing multiple network perturbations. Using multiple network inference methods, or combining network inference with additional data, such as promoter motifs, can enhance the ability of the model to predict gene function or regulatory relationships. Network topology can highlight key signaling components and provides a systems level understanding of plant defence.

Original language	English
Pages (from-to)	165-171
Number of pages	7
Journal	CURRENT OPINION IN PLANT BIOLOGY
Volume	27
DOIs	https://doi.org/10.1016/j.pbi.2015.07.007
Publication status	Published - 1 Oct 2015

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abstract = "Transcriptional reprogramming plays a significant role in governing plant responses to pathogens. The underlying regulatory networks are complex and dynamic, responding to numerous input signals. Most network modelling studies to date have used large-scale expression data sets from public repositories but defence network models with predictive ability have also been inferred from single time series data sets, and sophisticated biological insights generated from focused experiments containing multiple network perturbations. Using multiple network inference methods, or combining network inference with additional data, such as promoter motifs, can enhance the ability of the model to predict gene function or regulatory relationships. Network topology can highlight key signaling components and provides a systems level understanding of plant defence.",

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Modelling signaling networks underlying plant defence

Abstract

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