Directed network wiring identifies a key protein interaction in embryonic stem cell differentiation

Norihisa Yasui, Greg M Findlay, Gerald D. Gish, Marilyn S. Hsiung, Jin Huang, Monika Tucholska, Lorne Taylor, Louis Smith, W. Clifford Boldridge, Akiko Koide, Tony Pawson, Shohei Koide (Lead / Corresponding author)

    Research output: Contribution to journalArticlepeer-review

    26 Citations (Scopus)

    Abstract

    Cell signaling depends on dynamic protein-protein interaction (PPI) networks, often assembled through modular domains each interacting with multiple peptide motifs. This complexity raises a conceptual challenge, namely to define whether a particular cellular response requires assembly of the complete PPI network of interest or can be driven by a specific interaction. To address this issue, we designed variants of the Grb2 SH2 domain ("pY-clamps") whose specificity is highly biased toward a single phosphotyrosine (pY) motif among many potential pYXNX Grb2-binding sites. Surprisingly, directing Grb2 predominantly to a single pY site of the Ptpn11/Shp2 phosphatase, but not other sites tested, was sufficient for differentiation of the essential primitive endoderm lineage from embryonic stem cells. Our data suggest that discrete connections within complex PPI networks can underpin regulation of particular biological events. We propose that this directed wiring approach will be of general utility in functionally annotating specific PPIs.

    Original languageEnglish
    Pages (from-to)1034-1041
    Number of pages8
    JournalMolecular Cell
    Volume54
    Issue number6
    DOIs
    Publication statusPublished - 19 Jun 2014

    Keywords

    • Animals
    • Binding Sites
    • Cell Differentiation
    • Cell Line
    • Crystallography, X-Ray
    • Embryonic Stem Cells
    • Fibroblast Growth Factor 4
    • GRB2 Adaptor Protein
    • Mice
    • Models, Molecular
    • Protein Binding
    • Protein Interaction Maps
    • Protein Structure, Tertiary
    • Protein Tyrosine Phosphatase, Non-Receptor Type 11
    • Signal Transduction

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