Abstract

The heterogeneity in composition and interaction within the cellular membrane translates into a wide range of diffusion coefficients of its constituents. Therefore, several complementary microfluorimetric techniques such as fluorescence correlation spectroscopy (FCS), fluorescence recovery after photobleaching (FRAP) and single-particle tracking (SPT) have to be applied to explore the dynamics of membrane components. The recently introduced raster image correlation spectroscopy (RICS) offers a much wider dynamic range than each of these methods separately and allows for spatial mapping of the dynamic properties. RICS is implemented on a confocal laser-scanning microscope (CLSM), and the wide dynamic range is achieved by exploiting the inherent time information carried by the scanning laser beam in the generation of the confocal images. The original introduction of RICS used two-photon excitation and photon counting detection. However, most CLSM systems are based on one-photon excitation with analog detection. Here we report on the performance of such a commercial CLSM (Zeiss LSM 510 META) in the study of the diffusion of the fluorescent lipid analog 1,1'-dioctadecyl-3,3,3',3'-tetramethyl-indodicarbocyanine perchlorate (DiI-C(18)(5)) both in giant unilamellar vesicles and in the plasma membrane of living oligodendrocytes, i.e., the myelin-producing cells of the central nervous system. It is shown that RICS on a commercial CLSM with analog detection allows for reliable results in the study of membrane diffusion by removal of unwanted correlations introduced by the analog detection system. The results obtained compare well with those collected by FRAP and FCS.

Highlights

  • A variety of complementary microfluorimetric methods is used to study the dynamics of membrane components in the exploration of the lateral heterogeneity of cellular membranes

  • The recently introduced raster image correlation spectroscopy (RICS; Digman et al.14,15) allows exploration of molecular mobility over a wide dynamic range by exploiting the inherent time information associated with the scanning laser beam

  • The applicability of RICS to monitor two-dimensional (2D) diffusion was evaluated in a welldefined system consisting of 1-palmitoyl-2-oleoyl-sn-glycero3-phosphatidylcholine (POPC) giant unilamellar vesicles (GUVs) containing the lipid probe 1,10-dioctadecyl-3,3,30, 30-tetramethyl-indodicarbocyanine perchlorate (DiI-C18(5))

Read more

Summary

Introduction

A variety of complementary microfluorimetric methods is used to study the dynamics of membrane components in the exploration of the lateral heterogeneity of cellular membranes These techniques comprise fluorescence recovery after photobleaching (FRAP), fluorescence correlation. Spectroscopy (FCS), single-particle tracking (SPT) and image correlation based methods.1-10 Several of these techniques have been implemented on a confocal laser-scanning microscope (CLSM) allowing for substantial reduction of the signal contribution from planes out of focus. The recently introduced raster image correlation spectroscopy (RICS; Digman et al.14,15) allows exploration of molecular mobility over a wide dynamic range by exploiting the inherent time information associated with the scanning laser beam. The applicability of RICS to monitor two-dimensional (2D) diffusion was evaluated in a welldefined system consisting of 1-palmitoyl-2-oleoyl-sn-glycero3-phosphatidylcholine (POPC) giant unilamellar vesicles (GUVs) containing the lipid probe 1,10-dioctadecyl-3,3,30, 30-tetramethyl-indodicarbocyanine perchlorate (DiI-C18(5)) This system was characterized by means of beam expander FCS.. This system was characterized by means of beam expander FCS. Both RICS and FRAP were applied to monitor the diffusion of DiI-C18(5) in the membrane of primary oligodendrocytes (OLGs) derived from neonatal rat brain

Materials and Methods
Results
Discussion
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call