Issue 5, 2022

A bioinspired glycopolymer for capturing membrane proteins in native-like lipid-bilayer nanodiscs

Abstract

Amphiphilic copolymers that directly extract membrane proteins and lipids from cellular membranes to form nanodiscs combine the advantages of harsher membrane mimics with those of a native-like membrane environment. Among the few commercial polymers that are capable of forming nanodiscs, alternating diisobutylene/maleic acid (DIBMA) copolymers have gained considerable popularity as gentle and UV-transparent alternatives to aromatic polymers. However, their moderate hydrophobicities and high electric charge densities render all existing aliphatic copolymers rather inefficient under near-physiological conditions. Here, we introduce Glyco-DIBMA, a bioinspired glycopolymer that possesses increased hydrophobicity and reduced charge density but nevertheless retains excellent solubility in aqueous solutions. Glyco-DIBMA outperforms established aliphatic copolymers in that it solubilizes lipid vesicles of various compositions much more efficiently, thereby furnishing smaller, more narrowly distributed nanodiscs that preserve a bilayer architecture and exhibit rapid lipid exchange. We demonstrate the superior performance of Glyco-DIBMA in preparative and analytical applications by extracting a broad range of integral membrane proteins from cellular membranes and further by purifying a membrane-embedded voltage-gated K+ channel, which was fluorescently labeled and analyzed with the aid of microfluidic diffusional sizing (MDS) directly within native-like lipid-bilayer nanodiscs.

Graphical abstract: A bioinspired glycopolymer for capturing membrane proteins in native-like lipid-bilayer nanodiscs

Supplementary files

Article information

Article type
Paper
Submitted
12 Jun 2021
Accepted
11 Nov 2021
First published
23 Nov 2021
This article is Open Access
Creative Commons BY license

Nanoscale, 2022,14, 1855-1867

A bioinspired glycopolymer for capturing membrane proteins in native-like lipid-bilayer nanodiscs

B. Danielczak, M. Rasche, J. Lenz, E. Pérez Patallo, S. Weyrauch, F. Mahler, M. T. Agbadaola, A. Meister, J. O. Babalola, C. Vargas, C. Kolar and S. Keller, Nanoscale, 2022, 14, 1855 DOI: 10.1039/D1NR03811G

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements