Unit

UNIT 11.11 Experimental and Computational Tools for Analysis of Signaling Networks in Primary Cells

  1. Erwin M. Schoof,
  2. Rune Linding

Published Online: 4 FEB 2014

DOI: 10.1002/0471142735.im1111s104

Current Protocols in Immunology

Current Protocols in Immunology

How to Cite

Schoof, E. M. and Linding, R. 2014. Experimental and Computational Tools for Analysis of Signaling Networks in Primary Cells. Current Protocols in Immunology. 104:11.11:11.11.1–11.11.23.

Author Information

  1. Cellular Signal Integration Group (C-SIG), Center for Biological Sequence Analysis (CBS), Department of Systems Biology, Technical University of Denmark (DTU), Lyngby, Denmark

Publication History

  1. Published Online: 4 FEB 2014

Abstract

Cellular information processing in signaling networks forms the basis of responses to environmental stimuli. At any given time, cells receive multiple simultaneous input cues, which are processed and integrated to determine cellular responses such as migration, proliferation, apoptosis, or differentiation. Protein phosphorylation events play a major role in this process and are often involved in fundamental biological and cellular processes such as protein-protein interactions, enzyme activity, and immune responses. Determining which kinases phosphorylate specific phospho sites poses a challenge; this information is critical when trying to elucidate key proteins involved in specific cellular responses. Here, methods to generate high-quality quantitative phosphorylation data from cell lysates originating from primary cells, and how to analyze the generated data to construct quantitative signaling network models, are presented. These models can subsequently be used to guide follow-up in vitro/in vivo validation studies. Curr. Protoc. Immunol. 104:11.11.1-11.11.23. © 2014 by John Wiley & Sons, Inc.

Keywords:

  • phosphorylation;
  • mass spectrometry;
  • network biology;
  • primary cell signaling