Introducing a fluorescence-based standard to quantify protein partitioning into membranes.
The affinity of peripheral membrane proteins for a lipid bilayer can be described using the partition coefficient (KP). Although several methods to determine KP are known, all possess limitations. To address some of these issues, we developed both: a versatile method based on single molecule detection and fluorescence imaging for determining KP, and a simple measurement standard employing hexahistidine-tagged enhanced green fluorescent protein (eGFP-His6) and free standing membranes of giant unilamellar vesicles (GUVs) functionalized with NTA(Ni) lipids as binding sites. To ensure intrinsic control, our method features two measurement modes. In the single molecule mode, fluorescence correlation spectroscopy (FCS) is applied to quantify free and membrane associated protein concentrations at equilibrium and calculate KP. In the imaging mode, confocal fluorescence images of GUVs are recorded and analyzed with semi-automated software to extract protein mean concentrations used to derive KP. Both modes were compared by determining the affinity of our standard, resulting in equivalent KP values. As observed in other systems, eGFP-His6 affinity for membranes containing increasing amounts of NTA(Ni) lipids rises in a stronger-than-linear fashion. We compared our dual approach with a FCS-based assay that uses large unilamellar vesicles (LUVs), which however fails to capture the stronger-than-linear trend for our NTA(Ni)-His6 standard. Hence, we determined the KP of the MARCKS effector domain with our FCS approach on GUVs, whose results are consistent with previously published data using LUVs. We finally provide a practical manual on how to measure KP and understand it in terms of molecules per lipid surface.
Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany.
Franziska A
FA
Thomas
Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany.
Ilaria
I
Visco
Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany.
Zdeněk
Z
Petrášek
Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany.
Fabian
F
Heinemann
Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany. Electronic address: schwille@biochem.mpg.de.
Petra
P
Schwille
D000465:Algorithms; D002462:Cell Membrane / Q000737:chemistry / Q000378:metabolism; D004058:Diffusion; D005453:Fluorescence; D049452:Green Fluorescent Proteins / Q000737:chemistry / Q000378:metabolism; D007700:Kinetics; D008051:Lipid Bilayers / Q000737:chemistry* / Q000378:metabolism; D008565:Membrane Proteins / Q000737:chemistry* / Q000378:metabolism; D018613:Microscopy, Confocal; D008956:Models, Chemical; D008958:Models, Molecular; D010713:Phosphatidylcholines / Q000737:chemistry / Q000378:metabolism; D013050:Spectrometry, Fluorescence; D053835:Unilamellar Liposomes / Q000737:chemistry* / Q000378:metabolism
D008051:Lipid Bilayers; D008565:Membrane Proteins; D010713:Phosphatidylcholines; D053835:Unilamellar Liposomes; D049452:Green Fluorescent Proteins; C028694:1-palmitoyl-2-oleoylphosphatidylcholine
Confocal imaging; Fluorescence correlation spectroscopy; Giant unilamellar vesicles; Partition coefficient