Proteomic Studies of Syk-Interacting Proteins Using a Novel Amine-Specific Isotope Tag and GFP Nanotrap View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-02

AUTHORS

Jacob A. Galan, Leela L. Paris, Hua-jie Zhang, Jacob Adler, Robert L. Geahlen, W. Andy Tao

ABSTRACT

Green fluorescent protein (GFP) and variants have become powerful tools to study protein localization, interactions, and dynamics. We present here a mass spectrometry-based proteomics strategy to examine protein-protein interactions using anti-GFP single-chain antibody V(H)H in a combination with a novel stable isotopic labeling reagent, isotope tag on amino groups (iTAG). We demonstrate that the single-chain V(H)H (GFP nanotrap) allows us to identify interacting partners of the Syk protein-tyrosine kinase bearing a GFP epitope tag with high efficiency and high specificity. Interacting proteins identified include CrkL, BLNK, α- and β-tubulin, Csk, RanBP5 and DJ-1. The iTAG reagents were prepared with simple procedures and characterized with high accuracy in the determination of peptides in model peptide mixtures and as well as in complex mixture. Applications of the iTAG method and GFP nanotrap to an analysis of the nucleocytoplasmic trafficking of Syk led to the identification of location-specific associations between Syk and multiple proteins. While the results reveal that the new quantitative proteomic strategy is generally applicable to integrate protein interaction data with subcellular localization, extra caution should be taken in evaluating the results obtained by such affinity purification strategies as many interactions appear to occur following cell lysis. More... »

PAGES

319-328

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13361-010-0030-7

DOI

http://dx.doi.org/10.1007/s13361-010-0030-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014604620

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21472591


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RDF/XML is a standard XML format for linked data.

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