title: From fast fluorescence imaging to molecular diffusion law on live cell membranes in a commercial microscope.
abstract: It has become increasingly evident that the spatial distribution and the motion of membrane components like lipids and proteins are key factors in the regulation of many cellular functions. However, due to the fast dynamics and the tiny structures involved, a very high spatio-temporal resolution is required to catch the real behavior of molecules. Here we present the experimental protocol for studying the dynamics of fluorescently-labeled plasma-membrane proteins and lipids in live cells with high spatiotemporal resolution. Notably, this approach doesn't need to track each molecule, but it calculates population behavior using all molecules in a given region of the membrane. The starting point is a fast imaging of a given region on the membrane. Afterwards, a complete spatio-temporal autocorrelation function is calculated correlating acquired images at increasing time delays, for example each 2, 3, n repetitions. It is possible to demonstrate that the width of the peak of the spatial autocorrelation function increases at increasing time delay as a function of particle movement due to diffusion. Therefore, fitting of the series of autocorrelation functions enables to extract the actual protein mean square displacement from imaging (iMSD), here presented in the form of apparent diffusivity vs average displacement. This yields a quantitative view of the average dynamics of single molecules with nanometer accuracy. By using a GFP-tagged variant of the Transferrin Receptor (TfR) and an ATTO488 labeled 1-palmitoyl-2-hydroxy-sn-glycero-3-phosphoethanolamine (PPE) it is possible to observe the spatiotemporal regulation of protein and lipid diffusion on µm-sized membrane regions in the micro-to-milli-second time range.
authors.affiliation: NEST Laboratory, Scuola Normale Superiore; Center for Nanotechnology Innovation, Instituto Italiano di Tecnologia.
authors.forename: Carmine
authors.initials: C
authors.lastname: Di Rienzo
authors.affiliation: Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine.
authors.forename: Enrico
authors.initials: E
authors.lastname: Gratton
authors.affiliation: NEST Laboratory, Scuola Normale Superiore.
authors.forename: Fabio
authors.initials: F
authors.lastname: Beltram
authors.affiliation: Center for Nanotechnology Innovation, Instituto Italiano di Tecnologia; francesco.cardarelli@iit.it.
authors.forename: Francesco
authors.initials: F
authors.lastname: Cardarelli
mesh_terms: D000818:Animals; D016466:CHO Cells; D002462:Cell Membrane / Q000737:chemistry* / Q000378:metabolism*; D003412:Cricetulus; D005452:Fluoresceins / Q000737:chemistry; D049452:Green Fluorescent Proteins / Q000737:chemistry; D008563:Membrane Lipids / Q000737:chemistry / Q000378:metabolism; D008565:Membrane Proteins / Q000737:chemistry / Q000378:metabolism; D008856:Microscopy, Fluorescence / Q000379:methods*; D010714:Phosphatidylethanolamines / Q000737:chemistry; D011990:Receptors, Transferrin / Q000737:chemistry
chemical_list: C585059:Atto 488 maleimide; D005452:Fluoresceins; D008563:Membrane Lipids; D008565:Membrane Proteins; D010714:Phosphatidylethanolamines; D011990:Receptors, Transferrin; D049452:Green Fluorescent Proteins