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Updated: Jul 5, 2026

Spontaneous Formation and Rearrangement of Artificial Lipid Nanotube Networks as a Bottom-Up Model for Endoplasmic Reticulum
Published on: January 22, 2019
Reversible transitions between peptide nanotubes and vesicle-like structures including theoretical modeling studies
Xuehai Yan1, Yue Cui, Qiang He
1Beijing National Laboratory for Molecular Sciences, International Joint Lab, Key Lab of Colloid and Interface Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100080 (PR China).
Peptide concentration controls the shape of self-assembling peptide nanostructures. Dilution forms vesicles, while concentration reforms nanotubes, enabling tunable morphology.
Area of Science:
- Supramolecular Chemistry
- Materials Science
- Nanotechnology
Background:
- Peptide-based self-assembling systems offer versatile applications.
- Peptide nanostructures exhibit environmental responsiveness.
- Controlling nanostructure morphology is crucial for tailored applications.
Purpose of the Study:
- To investigate the reversible shape transition of dipeptide nanotubes (DPNTs).
- To explore the influence of peptide concentration on nanostructure morphology.
- To develop a theoretical model for tunable self-assembly.
Main Methods:
- Utilized Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), Atomic Force Microscopy (AFM), and Circular Dichroism (CD) spectroscopy.
- Investigated morphological changes induced by varying peptide concentrations.
- Developed a theoretical model to explain the observed shape transitions.
Main Results:
- Demonstrated a reversible shape transition between dipeptide nanotubes and vesicle-like structures.
- Observed that dilution of DPNT solutions leads to vesicle formation.
- Confirmed that concentrating the solution reassembles vesicles into nanotubes.
Conclusions:
- Peptide concentration is a key factor in controlling the morphology of self-assembled systems.
- The observed reversible transition allows for on-demand tuning of nanostructure shape.
- The theoretical model provides insights for designing novel self-assembling molecules with tunable morphologies.
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