Array-based proteomic approaches to study signal transduction pathways: prospects, merits and challenges

Proteomics. 2015 Jan;15(2-3):218-31. doi: 10.1002/pmic.201400261. Epub 2014 Nov 2.

Abstract

Very often dysfunctional aspects of various signalling networks are found to be associated with human diseases and disorders. The major characteristics of signal transduction pathways are specificity, amplification of the signal, desensitisation and integration, which is accomplished not solely, but majorly by proteins. Array-based profiling of protein-protein and other biomolecular interactions is a versatile approach, which holds immense potential for multiplex interactome mapping and provides an inclusive representation of the signal transduction pathways and networks. Protein microarrays such as analytical protein microarrays (antigen-antibody interactions, autoantibody screening), RP microarrays (interaction of a particular ligand with all the possible targets in cell), functional protein microarrays (protein-protein or protein-ligand interactions) are implemented for various applications, including analysis of protein interactions and their significance in signalling cascades. Additionally, successful amalgamation of the array-based approaches with different label-free detection techniques allows real-time analysis of interaction kinetics of multiple interaction events simultaneously. This review discusses the prospects, merits and limitations of different variants of array-based techniques and their promising applications for studying the modifications and interactions of biomolecules, and highlights the studies associated with signal transduction pathways and their impact on disease pathobiology.

Keywords: Array-based proteomics; Biomolecular interactions; Interactome; Protein arrays; Protein microarrays; Signal transduction pathways.

Publication types

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

MeSH terms

  • Animals
  • Humans
  • Kinetics
  • Protein Array Analysis / methods*
  • Protein Interaction Mapping / methods*
  • Proteins / metabolism
  • Proteomics / methods*
  • Signal Transduction*

Substances

  • Proteins