Characterization of Lipid and Cell Membrane Organization by the Fluorescence Correlation Spectroscopy Diffusion Law

Authors

  • Xue Wen Ng Department of Chemistry, NUS Centre for Bio-Imaging Sciences, National University of Singapore, Blk S1A, Level 2, Lee Wee Kheng Building, 14 Science Drive 4, Singapore 117557
  • Nirmalya Bag Department of Biological Sciences, NUS Centre for Bio-Imaging Sciences, National University of Singapore, Blk S1A, Level 2, Lee Wee Kheng Building, 14 Science Drive 4, Singapore 117557
  • Thorsten Wohland Department of Chemistry, Department of Biological Sciences, NUS Centre for Bio-Imaging Sciences, National University of Singapore, Blk S1A, Level 2, Lee Wee Kheng Building, 14 Science Drive 4, Singapore 117557. twohland@nus.edu.sg

DOI:

https://doi.org/10.2533/chimia.2015.112

Keywords:

Fluorescence correlation spectroscopy, Fcs diffusion law, Lipid raft model, Membrane dynamics, Membrane organization, Picket-fence model

Abstract

The plasma membrane organization of live cells defines a plethora of cellular processes important for cell functionality. Many membrane structures that define this organization exist at a spatial resolution below the optical diffraction limit and are highly dynamic. Therefore, a method with millisecond time resolution and nanometer spatial resolution is required for the investigation of plasma membrane organization. However, spatial and temporal resolutions of the currently available biophysical techniques are often mutually exclusive. In a novel realization, Lenne and coworkers developed a spot-variation modality of fluorescence correlation spectroscopy (FCS), also known as FCS diffusion law, to harvest nanoscopic information from microscopic measurements. The FCS diffusion law, so far, has been instrumental to decode the physico-chemical origin of membrane organization and its relationship with biological processes. Overall, the structural information of plasma membrane obtained by FCS diffusion law provides a better understanding of its coupling to the underlying cellular processes.

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Published

2015-03-25