Dataset Information

Fast spatiotemporal correlation spectroscopy to determine protein lateral diffusion laws in live cell membranes.

ABSTRACT: Spatial distribution and dynamics of plasma-membrane proteins are thought to be modulated by lipid composition and by the underlying cytoskeleton, which forms transient barriers to diffusion. So far this idea was probed by single-particle tracking of membrane components in which gold particles or antibodies were used to individually monitor the molecules of interest. Unfortunately, the relatively large particles needed for single-particle tracking can in principle alter the very dynamics under study. Here, we use a method that makes it possible to investigate plasma-membrane proteins by means of small molecular labels, specifically single GFP constructs. First, fast imaging of the region of interest on the membrane is performed. For each time delay in the resulting stack of images the average spatial correlation function is calculated. We show that by fitting the series of correlation functions, the actual protein "diffusion law" can be obtained directly from imaging, in the form of a mean-square displacement vs. time-delay plot, with no need for interpretative models. This approach is tested with several simulated 2D diffusion conditions and in live Chinese hamster ovary cells with a GFP-tagged transmembrane transferrin receptor, a well-known benchmark of membrane-skeleton-dependent transiently confined diffusion. This approach does not require extraction of the individual trajectories and can be used also with dim and dense molecules. We argue that it represents a powerful tool for the determination of kinetic and thermodynamic parameters over very wide spatial and temporal scales.

SUBMITTER: Di Rienzo C

PROVIDER: S-EPMC3725058 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature

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Publications

Fast spatiotemporal correlation spectroscopy to determine protein lateral diffusion laws in live cell membranes.

Di Rienzo Carmine C Gratton Enrico E Beltram Fabio F Cardarelli Francesco F

Proceedings of the National Academy of Sciences of the United States of America 20130708 30

Spatial distribution and dynamics of plasma-membrane proteins are thought to be modulated by lipid composition and by the underlying cytoskeleton, which forms transient barriers to diffusion. So far this idea was probed by single-particle tracking of membrane components in which gold particles or antibodies were used to individually monitor the molecules of interest. Unfortunately, the relatively large particles needed for single-particle tracking can in principle alter the very dynamics under s ...[more]

PMID: 23836651

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Project description:By following single fluorescent molecules in a microscope, single-particle tracking (SPT) can measure diffusion and binding on the nanometer and millisecond scales. Still, although SPT can at its limits characterize the fastest biomolecules as they interact with subcellular environments, this measurement may require advanced illumination techniques such as stroboscopic illumination. Here, we address the challenge of measuring fast subcellular motion by instead analyzing single-molecule data with spatiotemporal image correlation spectroscopy (STICS) with a focus on measurements of confined motion. Our SPT and STICS analysis of simulations of the fast diffusion of confined molecules shows that image blur affects both STICS and SPT, and we find biased diffusion rate measurements for STICS analysis in the limits of fast diffusion and tight confinement due to fitting STICS correlation functions to a Gaussian approximation. However, we determine that with STICS, it is possible to correctly interpret the motion that blurs single-molecule images without advanced illumination techniques or fast cameras. In particular, we present a method to overcome the bias due to image blur by properly estimating the width of the correlation function by directly calculating the correlation function variance instead of using the typical Gaussian fitting procedure. Our simulation results are validated by applying the STICS method to experimental measurements of fast, confined motion: we measure the diffusion of cytosolic mMaple3 in living Escherichia coli cells at 25 frames/s under continuous illumination to illustrate the utility of STICS in an experimental parameter regime for which in-frame motion prevents SPT and tight confinement of fast diffusion precludes stroboscopic illumination. Overall, our application of STICS to freely diffusing cytosolic protein in small cells extends the utility of single-molecule experiments to the regime of fast confined diffusion without requiring advanced microscopy techniques.

Project description:Study of the density, spatial distribution, and molecular interactions of receptors on the cell membrane provides the knowledge required to understand cellular behavior and biological functions, as well as to discover, design, and screen novel therapeutic agents. However, the mapping of receptor distribution and the monitoring of ligand-receptor interactions on live cells in a spatially and temporally ordered manner are challenging tasks. In this paper, we apply fluorescence correlation spectroscopy (FCS) to map receptor densities on live cell membranes by introducing fluorescently marked aptamer molecules, which specifically bind to certain cell-surface receptors. The femtoliter-sized (0.4 fL) observation volume created by FCS allows fluorescent-aptamer detection down to 2 molecules and appears to be an ideal and highly sensitive biophysical tool for studying molecular interactions on live cells. Fluorophore-labeled aptamers were chosen for receptor recognition because of their high binding affinity and specificity. Aptamer sgc8, generated for specific cell recognition by a process called cell systematic evolution of ligands by exponential enrichment, was determined by FCS to have a binding affinity in the picomolar range (dissociation constant K(d)=790+/-150 pM) with its target membrane receptor, human protein tyrosine kinase-7 (PTK7), a potential cancer biomarker. We then constructed a cellular model and applied this aptamer-receptor interaction to estimate receptor densities and distributions on the cell surface. Specifically, different expression levels of PTK7 were studied by using human leukemia CCRF-CEM cells (1300+/-190 receptors microm(-2)) and HeLa cervical cancer cells (550+/-90 receptors microm(-2)). Competition studies with excess nonlabeled aptamers and proteinase treatment studies proved the validity of the density-estimation approach. With its intrinsic advantages of direct measurement, high sensitivity, fast analysis, and single-cell measurement, this FCS density-estimation approach holds potential for future applications in molecular-interaction studies and density estimations for subcellular structures and membrane receptors.

Dataset Information

Fast spatiotemporal correlation spectroscopy to determine protein lateral diffusion laws in live cell membranes.

Publications

Fast spatiotemporal correlation spectroscopy to determine protein lateral diffusion laws in live cell membranes.

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