Showing papers by "Daniel Wüstner published in 2014"

Photobleaching Kinetics and Time-Integrated Emission of Fluorescent Probes in Cellular Membranes

Abstract: Since the pioneering work of Hirschfeld, it is known that time-integrated emission (TiEm) of a fluorophore is independent of fluorescence quantum yield and illumination intensity. Practical implementation of this important result for determining exact probe distribution in living cells is often hampered by the presence of autofluorescence. Using kinetic modelling of photobleaching combined with pixel-wise bleach rate fitting of decay models with an updated plugin to the ImageJ program, it is shown that the TiEm of a fluorophore in living cells can be determined exactly from the product of bleaching amplitude and time constant. This applies to mono-exponential bleaching from the first excited singlet and/or triplet state and to multi-exponential combinations of such processes. The TiEm can be used to correct for illumination shading and background autofluorescence without the need for fluorescent test layers or separate imaging of non-stained cells. We apply the method to simulated images and to images of cells, whose membranes were labelled with fluorescent sterols and sphingolipids. Our bleaching model can be extended to include a probability density function (PDF) of intrinsic bleach rate constants with a memory kernel. This approach results in a time-dependent bleach rate coefficient and is exemplified for fluorescent sterols in restricted intracellular environments, like lipid droplets. We show that for small deviations from the classical exponential bleaching, the TiEm of decay functions with rate coefficients remains largely independent of fluorescence lifetime and illumination, and thereby represents a faithful measure of probe distribution.

SpatTrack: an imaging toolbox for analysis of vesicle motility and distribution in living cells.

Abstract: The endocytic pathway is a complex network of highly dynamic organelles, which has been traditionally studied by quantitative fluorescence microscopy. The data generated by this method can be overwhelming and its analysis, even for the skilled microscopist, is tedious and error-prone. We developed SpatTrack, an open source, platform-independent program collecting a variety of methods for analysis of vesicle dynamics and distribution in living cells. SpatTrack performs 2D particle tracking, trajectory analysis and fitting of diffusion models to the calculated mean square displacement. It allows for spatial analysis of detected vesicle patterns including calculation of the radial distribution function and particle-based colocalization. Importantly, all analysis tools are supported by Monte Carlo simulations of synthetic images. This allows the user to assess the reliability of the analysis and to study alternative scenarios. We demonstrate the functionality of SpatTrack by performing a detailed imaging study of internalized fluorescence-tagged Niemann Pick C2 (NPC2) protein in human disease fibroblasts. Using SpatTrack, we show that NPC2 rescued the cholesterol-storage phenotype from a subpopulation of late endosomes/lysosomes (LE/LYSs). This was paralleled by repositioning and active transport of NPC2-containing vesicles to the cell surface. The potential of SpatTrack for other applications in intracellular transport studies will be discussed.

Dehydroergosterol as an Analogue for Cholesterol: Why It Mimics Cholesterol So Well—or Does It?

Abstract: Although dehydroergosterol (DHE) is one of the most commonly used cholesterol (CHOL) reporters, it has remained unclear why it performs well compared with most other CHOL analogues and what its possible limitations are. We present a comprehensive study of the properties of DHE using a combination of time-resolved fluorescence spectroscopy, quantum-mechanical electronic structure computations, and classical atomistic molecular dynamics simulations. We first establish that DHE mimics CHOL behavior, as previous studies have suggested, and then move on to elucidate and discuss the particular properties that render DHE so superior. We found that the main reason why DHE mimics CHOL so well is due to its ability to stand upright in a membrane in a manner that is almost identical to that of CHOL. The minor difference in how DHE and CHOL tilt with respect to membrane normal has only faint effects on structural membrane properties, and even the lateral pressure profiles of model membranes with CHOL or DHE are almos...

Dehydroergosterol as an analogue for cholesterol: Why it mimics cholesterol so well?

Abstract: Although dehydroergosterol (DHE) is one of the most commonly used cholesterol (CHOL) reporters, it has remained unclear why it performs well compared with most other CHOL analogues and what its possible limitations are. We present a comprehensive study of the properties of DHE using a combination of time-resolved fluorescence spectroscopy, quantum-mechanical electronic structure computations, and classical atomistic molecular dynamics simulations. We first establish that DHE mimics CHOL behavior, as previous studies have suggested, and then move on to elucidate and discuss the particular properties that render DHE so superior. We found that the main reason why DHE mimics CHOL so well is due to its ability to stand upright in a membrane in a manner that is almost identical to that of CHOL. The minor difference in how DHE and CHOL tilt with respect to membrane normal has only faint effects on structural membrane properties, and even the lateral pressure profiles of model membranes with CHOL or DHE are almost identical. These results suggest that the mechanical/elastic effects of DHE on the function of mechanically sensitive membrane proteins are not substantially different from those of CHOL. Our study highlights similar dynamical behavior of CHOL and DHE, which implies that DHE can mimic CHOL in processes with free energies close to the thermal energy.

Atomistic Monte Carlo Simulation of Lipid Membranes

Abstract: Biological membranes are complex assemblies of many different molecules of which analysis demands a variety of experimental and computational approaches. In this article, we explain challenges and advantages of atomistic Monte Carlo (MC) simulation of lipid membranes. We provide an introduction into the various move sets that are implemented in current MC methods for efficient conformational sampling of lipids and other molecules. In the second part, we demonstrate for a concrete example, how an atomistic local-move set can be implemented for MC simulations of phospholipid monomers and bilayer patches. We use our recently devised chain breakage/closure (CBC) local move set in the bond-/torsion angle space with the constant-bond-length approximation (CBLA) for the phospholipid dipalmitoylphosphatidylcholine (DPPC). We demonstrate rapid conformational equilibration for a single DPPC molecule, as assessed by calculation of molecular energies and entropies. We also show transition from a crystalline-like to a fluid DPPC bilayer by the CBC local-move MC method, as indicated by the electron density profile, head group orientation, area per lipid, and whole-lipid displacements. We discuss the potential of local-move MC methods in combination with molecular dynamics simulations, for example, for studying multi-component lipid membranes containing cholesterol.