Veronika Mueller

Publications (2)6.57 Total impact

• Article: FCS in STED Microscopy: Studying the Nanoscale of Lipid Membrane Dynamics.

  Veronika Mueller, Alf Honigmann, Christian Ringemann, Rebecca Medda, Günter Schwarzmann, Christian Eggeling
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  ABSTRACT: Details of molecular membrane dynamics in living cells such as lipid-protein interactions or the incorporation of molecules into lipid "rafts" are often hidden to the observer because of the limited spatial resolution of conventional far-field optical microscopy. Fortunately, the superior spatial resolution of far-field stimulated-emission-depletion (STED) nanoscopy allows gaining new insights. Applying fluorescence correlation spectroscopy (FCS) in focal spots continuously tuned down to 30nm in diameter distinguishes free from anomalous molecular diffusion due to transient binding, as for the diffusion of fluorescent phosphoglycero- and sphingolipid analogs in the plasma membrane of living cells. STED-FCS data recorded at different environmental conditions and on different lipid analogs reveal molecular details of the observed nanoscale trapping. Dependencies on the molecular structure of the lipids point to the distinct connectivity of the various lipids to initiate or assist cellular signaling events, but also outline strong differences to the characteristics of liquid-ordered and disordered phase separation in model membranes. STED-FCS is a highly sensitive and exceptional tool to study the membrane organization by introducing a new class of nanoscale biomolecular studies.
  Methods in enzymology 01/2013; 519:1-38. · 1.90 Impact Factor
• Article: Partitioning, diffusion, and ligand binding of raft lipid analogs in model and cellular plasma membranes.

  Erdinc Sezgin, Ilya Levental, Michal Grzybek, Günter Schwarzmann, Veronika Mueller, Alf Honigmann, Vladimir N Belov, Christian Eggeling, Unal Coskun, Kai Simons, Petra Schwille
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  ABSTRACT: Several simplified membrane models featuring coexisting liquid disordered (Ld) and ordered (Lo) lipid phases have been developed to mimic the heterogeneous organization of cellular membranes, and thus, aid our understanding of the nature and functional role of ordered lipid-protein nanodomains, termed "rafts". In spite of their greatly reduced complexity, quantitative characterization of local lipid environments using model membranes is not trivial, and the parallels that can be drawn to cellular membranes are not always evident. Similarly, various fluorescently labeled lipid analogs have been used to study membrane organization and function in vitro, although the biological activity of these probes in relation to their native counterparts often remains uncharacterized. This is particularly true for raft-preferring lipids ("raft lipids", e.g. sphingolipids and sterols), whose domain preference is a strict function of their molecular architecture, and is thus susceptible to disruption by fluorescence labeling. Here, we analyze the phase partitioning of a multitude of fluorescent raft lipid analogs in synthetic Giant Unilamellar Vesicles (GUVs) and cell-derived Giant Plasma Membrane Vesicles (GPMVs). We observe complex partitioning behavior dependent on label size, polarity, charge and position, lipid headgroup, and membrane composition. Several of the raft lipid analogs partitioned into the ordered phase in GPMVs, in contrast to fully synthetic GUVs, in which most raft lipid analogs mis-partitioned to the disordered phase. This behavior correlates with the greatly enhanced order difference between coexisting phases in the synthetic system. In addition, not only partitioning, but also ligand binding of the lipids is perturbed upon labeling: while cholera toxin B binds unlabeled GM1 in the Lo phase, it binds fluorescently labeled GM1 exclusively in the Ld phase. Fluorescence correlation spectroscopy (FCS) by stimulated emission depletion (STED) nanoscopy on intact cellular plasma membranes consistently reveals a constant level of confined diffusion for raft lipid analogs that vary greatly in their partitioning behavior, suggesting different physicochemical bases for these phenomena.
  Biochimica et Biophysica Acta 03/2012; 1818(7):1777-1784. · 4.66 Impact Factor