Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics
Top Cited Papers
- 15 August 2004
- journal article
- research article
- Published by Springer Nature in Nature Biotechnology
- Vol. 22 (9), 1139-1145
- https://doi.org/10.1038/nbt1005
Abstract
To study the global dynamics of phosphotyrosine-based signaling events in early growth factor stimulation, we developed a mass spectrometric method that converts temporal changes to differences in peptide isotopic abundance. The proteomes of three cell populations were metabolically encoded with different stable isotopic forms of arginine. Each population was stimulated by epidermal growth factor for a different length of time, and tyrosine-phosphorylated proteins and closely associated binders were affinity purified. Arginine-containing peptides occurred in three forms, which were quantified; we then combined two experiments to generate five-point dynamic profiles. We identified 81 signaling proteins, including virtually all known epidermal growth factor receptor substrates, 31 novel effectors and the time course of their activation upon epidermal growth factor stimulation. Global activation profiles provide an informative perspective on cell signaling and will be crucial to modeling signaling networks in a systems biology approach.Keywords
This publication has 34 references indexed in Scilit:
- Assembly of Cell Regulatory Systems Through Protein Interaction DomainsScience, 2003
- Mass spectrometry-based proteomicsNature, 2003
- The study of macromolecular complexes by quantitative proteomicsNature Genetics, 2003
- A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signalingNature Biotechnology, 2003
- Profiling of tyrosine phosphorylation pathways in human cells using mass spectrometryProceedings of the National Academy of Sciences, 2003
- Proteomic tools for quantitation by mass spectrometryMass Spectrometry Reviews, 2003
- Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiaeNature Biotechnology, 2002
- Oncogenic kinase signallingNature, 2001
- Cell Signaling by Receptor Tyrosine KinasesCell, 2000
- Quantitative analysis of complex protein mixtures using isotope-coded affinity tagsNature Biotechnology, 1999