Model-driven experimentation: A new approach to understand mechanisms of tertiary lymphoid tissue formation, function, and therapeutic resolution

James A. Butler, Jason Cosgrove, Kieran Alden, Jon Timmis, Mark Christopher Coles*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (SciVal)

Abstract

The molecular and cellular processes driving the formation of secondary lymphoid tissues have been extensively studied using a combination of mouse knockouts, lineage-specific reporter mice, gene expression analysis, immunohistochemistry, and flow cytometry. However, the mechanisms driving the formation and function of tertiary lymphoid tissue (TLT) experimental techniques have proven to be more enigmatic and controversial due to differences between experimental models and human disease pathology. Systems-based approaches including data-driven biological network analysis (gene interaction network, metabolic pathway network, cell-cell signaling, and cascade networks) and mechanistic modeling afford a novel perspective from which to understand TLT formation and identify mechanisms that may lead to the resolution of tissue pathology. In this perspective, we make the case for applying model-driven experimentation using two case studies, which combined simulations with experiments to identify mechanisms driving lymphoid tissue formation and function, and then discuss potential applications of this experimental paradigm to identify novel therapeutic targets for TLT pathology.

Original languageEnglish
Article number658
JournalFrontiers in Immunology
Volume7
Issue numberAPR
DOIs
Publication statusPublished - 04 Apr 2017

Keywords

  • Mechanistic modelling
  • Model-driven experimentation
  • Multi-scale modeling
  • Systems immunology
  • Tertiary lymphoid tissue

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