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Related Experiment Video

Updated: Oct 8, 2025

Analyzing Dynamic Protein Complexes Assembled On and Released From Biolayer Interferometry Biosensor Using Mass Spectrometry and Electron Microscopy
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BLI-MS: Combining biolayer interferometry and mass spectrometry.

Vincent Jung1, Kévin Roger1, Cerina Chhuon1

  • 1Proteomics Platform Necker, Université de Paris - Structure Fédérative de Recherche Necker, INSERM US24/CNRS UMS3633, Paris, France.

Proteomics
|December 27, 2021
PubMed
Summary

Biolayer interferometry (BLI) combined with mass spectrometry (MS) enables real-time analysis of macro-molecule interactions. This novel BLI-MS approach successfully identifies interacting proteins within complex biological mixtures.

Keywords:
biolayer interferometrymass spectrometrymolecular interaction

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Molecular Biology

Background:

  • Biolayer interferometry (BLI) is a label-free optical technique.
  • BLI enables real-time monitoring of biomolecular interactions and kinetics.
  • Identifying interacting partners in complex biological samples remains a challenge.

Purpose of the Study:

  • To combine Biolayer interferometry (BLI) with mass spectrometry (MS).
  • To develop a novel BLI-MS method for identifying protein interactors.
  • To demonstrate the feasibility of BLI-MS in complex biological mixtures.

Main Methods:

  • Real-time interaction analysis using BLI.
  • Protein identification using mass spectrometry (MS).
  • Integration of BLI measurements with MS for identifying bait-interacting proteins.

Main Results:

  • Successful combination of BLI and MS for interaction analysis.
  • Identification of proteins interacting with a bait molecule.
  • Proof of concept for BLI-MS in complex biological samples.

Conclusions:

  • BLI-MS is a feasible and powerful technique for studying molecular interactions.
  • This method allows for real-time kinetic analysis and identification of interaction partners.
  • BLI-MS offers a novel approach for proteomics and interactome mapping in complex systems.