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Protocol for Nanodisc single-molecule pull-down assay to detect protein-lipid interactions.
Adriana Reyes-Ordoñez1, Shweta Shree2, Stephen G Sligar3
1Department of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
STAR Protocols
|February 19, 2026
Summary
This study introduces a single-molecule pull-down (SiMPull) assay protocol to identify protein interactions with phospholipids in cellular environments. The method uses Nanodiscs and TIRF microscopy for high-resolution detection of these crucial lipid-protein interactions.
Area of Science:
- Cellular Biology
- Biochemistry
- Molecular Interactions
Background:
- Phospholipids are key signaling molecules regulating cellular processes.
- Identifying proteins involved in lipid-mediated functions is critical for understanding cell signaling.
- Current methods may lack the resolution to characterize these interactions effectively.
Purpose of the Study:
- To present a detailed protocol for evaluating lipid-protein interactions.
- To enable the characterization of protein players involved in phospholipid signaling.
- To utilize advanced microscopy and nanotechnology for high-resolution analysis.
Main Methods:
- Development of a single-molecule pull-down (SiMPull) assay protocol.
- Utilizing mammalian whole-cell lysates expressing proteins of interest.
- Employing Nanodiscs and total internal reflection fluorescence (TIRF) microscopy for detection.
Main Results:
- The protocol allows for the preparation of materials and slide chambers for SiMPull assays.
- Successful execution of the SiMPull assay enables data acquisition.
- Single-molecule resolution detection of lipid-protein interactions is achieved.
Conclusions:
- The presented SiMPull assay protocol provides a robust method for studying lipid-protein interactions.
- This technique facilitates the identification and characterization of proteins involved in phospholipid signaling.
- The use of Nanodiscs and TIRF microscopy enhances the resolution and sensitivity of interaction detection.

