Issue 11, 2021

Alpha helical surfactant-like peptides self-assemble into pH-dependent nanostructures

Abstract

A designed surfactant-like peptide is shown, using a combination of cryogenic-transmission electron microscopy and small-angle X-ray scattering, to have remarkable pH-dependent self-assembly properties. Peptide Arg3-Leu12 (R3L12) forms a network of peptide nanotubes at pH 9 and below. These are associated with α-helical conformation in a “cross-α” nanotube structure, in which peptide dimers lie perpendicular to the nanotube axis, with arginine coated inner and outer nanotube walls. In contrast, this peptide forms decorated vesicular aggregates at higher pH values, close to the pKa of the arginine residues. These structures are associated with a loss of α-helical order as detected through X-ray scattering, circular dichroism and FTIR spectroscopy, the latter technique also revealing a loss of ordering of leucine side chains. This suggests a proposed model for the decorated or patchy vesicular structures that comprises disordered peptide as the matrix of the membrane, with small domains of ordered peptide dimers forming the minority domains. We ascribe this to a lipid-raft like phase separation process, due to conformational disordering of the leucine hydrophobic chains. The observation of the self-assembly of a simple surfactant-like peptide into these types of nanostructure is remarkable, and peptide R3L12 shows unique pH-dependent morphological and conformational behaviour, with the potential for a range of future applications.

Graphical abstract: Alpha helical surfactant-like peptides self-assemble into pH-dependent nanostructures

Supplementary files

Article information

Article type
Paper
Submitted
24 Nov 2020
Accepted
09 Feb 2021
First published
10 Feb 2021
This article is Open Access
Creative Commons BY-NC license

Soft Matter, 2021,17, 3096-3104

Alpha helical surfactant-like peptides self-assemble into pH-dependent nanostructures

V. Castelletto, J. Seitsonen, J. Ruokolainen and I. W. Hamley, Soft Matter, 2021, 17, 3096 DOI: 10.1039/D0SM02095H

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