Inferring signalling networks from images

J Microsc. 2013 Oct;252(1):1-7. doi: 10.1111/jmi.12062. Epub 2013 Jul 11.

Abstract

The mapping of signalling networks is one of biology's most important goals. However, given their size, complexity and dynamic nature, obtaining comprehensive descriptions of these networks has proven extremely challenging. A fast and cost-effective means to infer connectivity between genes on a systems-level is by quantifying the similarity between high-dimensional cellular phenotypes following systematic gene depletion. This review describes the methodology used to map signalling networks using data generated in the context of RNAi screens.

Keywords: Heterogeneity; RNAi; image analysis; morphological signatures; signalling networks.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Cell Physiological Phenomena*
  • Cells, Cultured
  • Cytological Techniques / methods*
  • Drosophila
  • Gene Silencing
  • Image Processing, Computer-Assisted / methods*
  • Microscopy / methods*
  • Signal Transduction*