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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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