Two-photon fluorescence imaging and correlation analysis applied to protein dynamics in C. elegans embryo

Two-photon fluorescence imaging of proteins labelled with GFP or its analogues provides information on the localization of the molecules in cells and tissues, and their redistribution on timescales as short as milliseconds. Fluorescence correlation spectroscopy (FCS) analyzes fluctuations of the fluorescence signal in order to yield information about the motion of the molecules on timescales considerably shorter than those accessible with imaging, allowing the determination of diffusion coefficients, estimation of aggregate size, molecular concentrations, etc., i. e., parameters that can be difficult to determine with imaging alone. Scanning FCS (sFCS) is a modification of FCS that provides information about molecular dynamics and type of motion, which is too slow for standard FCS, and not resolvable with imaging. We have applied two-photon imaging, FCS and sFCS to study the localization and redistribution of GFP-labelled proteins involved in the asymmetric first division of C. elegans embryos. While the distribution of the investigated proteins in the cytoplasm is homogeneous on the scale limited by the optical resolution and their fast motion can be well characterized with conventional FCS, the proteins localized in the cortex exhibit patterns evolving on the ms-s temporal scale. We use sFCS and explore the applicability of spatial correlation analysis (image correlation, STICS) to the qualitative and quantitative description of the dynamics of the cortex-localized proteins.

[1]  P. Schwille,et al.  Precise measurement of diffusion coefficients using scanning fluorescence correlation spectroscopy. , 2008, Biophysical journal.

[2]  K König,et al.  Fluorescence lifetime images and correlation spectra obtained by multidimensional time‐correlated single photon counting , 2006, Microscopy research and technique.

[3]  W. Webb,et al.  Thermodynamic Fluctuations in a Reacting System-Measurement by Fluorescence Correlation Spectroscopy , 1972 .

[4]  Santiago Costantino,et al.  Spatiotemporal image correlation spectroscopy (STICS) theory, verification, and application to protein velocity mapping in living CHO cells. , 2005, Biophysical journal.

[5]  P. Schwille,et al.  Scanning dual-color cross-correlation analysis for dynamic co- localization studies of immobile molecules , 2002 .

[6]  C. Seidel,et al.  Full correlation from picoseconds to seconds by time-resolved and time-correlated single photon detection , 2005 .

[7]  E. Elson,et al.  Fluorescence correlation spectroscopy. I. Conceptual basis and theory , 1974 .

[8]  Watt W. Webb,et al.  Fluorescence correlation spectroscopy. III. Uniform translation and laminar flow , 1978 .

[9]  Petra Schwille,et al.  Spatial two-photon fluorescence cross-correlation spectroscopy for controlling molecular transport in microfluidic structures. , 2002, Analytical chemistry.

[10]  R. Rigler,et al.  Fluorescence correlation spectroscopy , 2001 .

[11]  Enrico Gratton,et al.  Measuring fast dynamics in solutions and cells with a laser scanning microscope. , 2005, Biophysical journal.

[12]  A. Hyman,et al.  Characterization of protein dynamics in asymmetric cell division by scanning fluorescence correlation spectroscopy. , 2008, Biophysical journal.

[13]  A. Hyman,et al.  Acto-myosin reorganization and PAR polarity in C. elegans , 2007, Development.

[14]  J Langowski,et al.  Anomalous diffusion of fluorescent probes inside living cell nuclei investigated by spatially-resolved fluorescence correlation spectroscopy. , 2000, Journal of molecular biology.

[15]  N O Petersen,et al.  Quantitation of membrane receptor distributions by image correlation spectroscopy: concept and application. , 1993, Biophysical journal.

[16]  Yan Chen,et al.  Position-sensitive scanning fluorescence correlation spectroscopy. , 2005, Biophysical journal.

[17]  Jonas Ries,et al.  Studying slow membrane dynamics with continuous wave scanning fluorescence correlation spectroscopy. , 2006, Biophysical journal.

[18]  Claire M Brown,et al.  Probing the integrin-actin linkage using high-resolution protein velocity mapping , 2006, Journal of Cell Science.

[19]  Enrico Gratton,et al.  3-D particle tracking in a two-photon microscope: application to the study of molecular dynamics in cells. , 2005, Biophysical journal.

[20]  E Gratton,et al.  Scanning two-photon fluctuation correlation spectroscopy: particle counting measurements for detection of molecular aggregation. , 1996, Biophysical journal.

[21]  J. Priess,et al.  Cortical flows powered by asymmetrical contraction transport PAR proteins to establish and maintain anterior-posterior polarity in the early C. elegans embryo. , 2004, Developmental cell.

[22]  Hervé Rigneault,et al.  Fluorescence correlation spectroscopy diffusion laws to probe the submicron cell membrane organization. , 2005, Biophysical journal.

[23]  Thorsten Wohland,et al.  Electron multiplying charge-coupled device camera based fluorescence correlation spectroscopy. , 2006, Analytical chemistry.

[24]  Klaus Schatzel,et al.  Noise on photon correlation data. I. Autocorrelation functions , 1990 .

[25]  Daniel S. Banks,et al.  Anomalous diffusion of proteins due to molecular crowding. , 2005, Biophysical journal.

[26]  Federico Ferri,et al.  25 ns software correlator for photon and fluorescence correlation spectroscopy , 2003 .

[27]  K. Kemphues,et al.  A non-muscle myosin required for embryonic polarity in Caenorhabditis elegans , 1996, Nature.

[28]  Petra Schwille,et al.  Electron multiplying CCD based detection for spatially resolved fluorescence correlation spectroscopy. , 2006, Optics express.

[29]  E. Gratton,et al.  Spatial-temporal studies of membrane dynamics: scanning fluorescence correlation spectroscopy (SFCS). , 2004, Biophysical journal.

[30]  Watt W. Webb,et al.  Fluorescence correlation spectroscopy , 2000 .