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Label-Free Quantitative Proteomics for Protein Interactions

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    Digest interaction pulldowns, run LC-MS/MS, normalize intensities, and call specific interactors versus controls using replicate statistics.

    Key Takeaways

    • No labeling step speeds design.
    • Requires careful normalization and controls.
    • Works with GFP-Trap, antibody IP, or AP-MS.
    • Pairs with network annotation.
    Fig1
    Figure 1. Label-free quant basics.

    Fig2
    Figure 2. Interaction experiment design.

    Fig3
    Figure 3. Data interpretation.

    Related Services

    Label-Free Quantitative Proteomics Service

    Label-Free Analysis Service

    Protein Interaction Analysis Service

    FAQ

    1. How many replicates?

    Typically ≥3 biological replicates for interaction LFQ.

    2. How control bait specificity?

    Use empty vector or unrelated GFP fusion controls.

    Conclusion

    Label-free quant makes interaction proteomics accessible for many bait proteins.

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