Related Experiment Video
Updated: Jun 26, 2026

Atomic Force Microscopy Imaging and Force Spectroscopy of Supported Lipid Bilayers
Published on: July 22, 2015
Atomic force microscopy differentiates discrete size distributions between membrane protein containing and empty
Craig D Blanchette1, Jenny A Cappuccio, Edward A Kuhn
1Physical Life Sciences, Lawrence Livermore National Laboratory, Livermore, CA 94551, USA.
Atomic force microscopy revealed that membrane proteins like bacteriorhodopsin alter nanolipoprotein particle (NLP) assembly. Larger NLPs were more likely to incorporate these proteins, indicating a change in the self-assembly mechanism.
Area of Science:
- Biophysics
- Biochemistry
- Materials Science
Background:
- Nanolipoprotein particles (NLPs) are crucial for studying membrane proteins.
- Understanding NLP self-assembly with embedded proteins is key for structural biology.
Purpose of the Study:
- To investigate the effect of bacteriorhodopsin (bR) incorporation on NLP assembly using atomic force microscopy (AFM).
- To analyze NLP size distribution and identify subpopulations during self-assembly.
Main Methods:
- Atomic Force Microscopy (AFM) for imaging and height analysis of NLPs.
- Ion Mobility Spectrometry (IMS) for size distribution analysis.
- Streptavidin binding assay to confirm bR incorporation.
Main Results:
- Two distinct NLP populations were observed: bR-NLPs and empty-NLPs.
- bR-NLPs showed an average height increase of 1.0 nm compared to empty-NLPs.
- NLP size distribution revealed subpopulations, with bR presence shifting distribution towards larger particles.
Conclusions:
- Membrane protein incorporation, specifically bR, influences NLP self-assembly dynamics.
- Larger NLPs exhibit a higher probability of containing membrane proteins.
- This suggests membrane proteins actively modulate the NLP assembly mechanism.
More Related Videos
08:58Atomic Force Microscopy Cantilever-Based Nanoindentation: Mechanical Property Measurements at the Nanoscale in Air and Fluid
Published on: December 2, 2022
09:12A Quantitative Fluorescence Microscopy-based Single Liposome Assay for Detecting the Compositional Inhomogeneity Between Individual Liposomes
Published on: December 13, 2019