Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Expanding the Toolbox for Bicelle-Forming Surfactant–Lipid Mixtures

Giudice, Rita Del LU ; Paracini, Nicolò ; Laursen, Tomas ; Blanchet, Clement ; Roosen-Runge, Felix LU and Cárdenas, Marité LU (2022) In Molecules 27(21).
Abstract

Bicelles are disk-shaped models of cellular membranes used to study lipid–protein interactions, as well as for structural and functional studies on transmembrane proteins. One challenge for the incorporation of transmembrane proteins in bicelles is the limited range of detergent and lipid combinations available for the successful reconstitution of proteins in model membranes. This is important, as the function and stability of transmembrane proteins are very closely linked to the detergents used for their purification and to the lipids that the proteins are embedded in. Here, we expand the toolkit of lipid and detergent combinations that allow the formation of stable bicelles. We use a combination of dynamic light scattering,... (More)

Bicelles are disk-shaped models of cellular membranes used to study lipid–protein interactions, as well as for structural and functional studies on transmembrane proteins. One challenge for the incorporation of transmembrane proteins in bicelles is the limited range of detergent and lipid combinations available for the successful reconstitution of proteins in model membranes. This is important, as the function and stability of transmembrane proteins are very closely linked to the detergents used for their purification and to the lipids that the proteins are embedded in. Here, we expand the toolkit of lipid and detergent combinations that allow the formation of stable bicelles. We use a combination of dynamic light scattering, small-angle X-ray scattering and cryogenic electron microscopy to perform a systematic sample characterization, thus providing a set of conditions under which bicelles can be successfully formed.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; and
publishing date
type
Contribution to journal
publication status
published
keywords
bicelles, cryo-TEM, DLS, model membranes, SAXS
in
Molecules
volume
27
issue
21
article number
7628
publisher
MDPI AG
external identifiers
  • pmid:36364455
  • scopus:85141759223
ISSN
1420-3049
DOI
10.3390/molecules27217628
language
English
LU publication?
no
id
2c7e91d9-3458-4537-a80d-6d41349690de
date added to LUP
2023-08-14 10:28:28
date last changed
2024-04-20 00:30:47
@article{2c7e91d9-3458-4537-a80d-6d41349690de,
  abstract     = {{<p>Bicelles are disk-shaped models of cellular membranes used to study lipid–protein interactions, as well as for structural and functional studies on transmembrane proteins. One challenge for the incorporation of transmembrane proteins in bicelles is the limited range of detergent and lipid combinations available for the successful reconstitution of proteins in model membranes. This is important, as the function and stability of transmembrane proteins are very closely linked to the detergents used for their purification and to the lipids that the proteins are embedded in. Here, we expand the toolkit of lipid and detergent combinations that allow the formation of stable bicelles. We use a combination of dynamic light scattering, small-angle X-ray scattering and cryogenic electron microscopy to perform a systematic sample characterization, thus providing a set of conditions under which bicelles can be successfully formed.</p>}},
  author       = {{Giudice, Rita Del and Paracini, Nicolò and Laursen, Tomas and Blanchet, Clement and Roosen-Runge, Felix and Cárdenas, Marité}},
  issn         = {{1420-3049}},
  keywords     = {{bicelles; cryo-TEM; DLS; model membranes; SAXS}},
  language     = {{eng}},
  number       = {{21}},
  publisher    = {{MDPI AG}},
  series       = {{Molecules}},
  title        = {{Expanding the Toolbox for Bicelle-Forming Surfactant–Lipid Mixtures}},
  url          = {{http://dx.doi.org/10.3390/molecules27217628}},
  doi          = {{10.3390/molecules27217628}},
  volume       = {{27}},
  year         = {{2022}},
}