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Determining the Functional Oligomeric State of Membrane-Associated Protein Oligomers Forming Membrane Pores on Giant Lipid Vesicles
V. Singh, S. Macharová, P. Riegerová, JP. Steringer, HM. Müller, F. Lolicato, W. Nickel, M. Hof, R. Šachl
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Cell Membrane metabolism MeSH
- Fibroblast Growth Factor 2 * metabolism MeSH
- Lipids MeSH
- Membrane Proteins * metabolism MeSH
- Membranes MeSH
- Protein Multimerization MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Several peripheral membrane proteins are known to form membrane pores through multimerization. In many cases, in biochemical reconstitution experiments, a complex distribution of oligomeric states has been observed that may, in part, be irrelevant to their physiological functions. This phenomenon makes it difficult to identify the functional oligomeric states of membrane lipid interacting proteins, for example, during the formation of transient membrane pores. Using fibroblast growth factor 2 (FGF2) as an example, we present a methodology applicable to giant lipid vesicles by which functional oligomers can be distinguished from nonspecifically aggregated proteins without functionality. Two distinct populations of fibroblast growth factor 2 were identified with (i) dimers to hexamers and (ii) a broad population of higher oligomeric states of membrane-associated FGF2 oligomers significantly distorting the original unfiltered histogram of all detectable oligomeric species of FGF2. The presented statistical approach is relevant for various techniques for characterizing membrane-dependent protein oligomerization.
Department of Physics University of Helsinki P O Box 64 FI 00014 Helsinki Finland
Faculty of Mathematics and Physics Charles University Ke Karlovu 2027 3 121 16 Prague Czech Republic
Heidelberg University Biochemistry Center Im Neuenheimer Feld 328 69120 Heidelberg Germany
References provided by Crossref.org
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