Image Correlation Spectroscopy Analysis Research Articles

Phase-Sensitive Fluorescence Image Correlation Spectroscopy.

Fluorescence lifetime imaging microscopy is sensitive to molecular interactions and environments. In homo-dyne frequency-domain fluorescence lifetime imaging microscopy, images of fluorescence objects are acquired at different phase settings of the detector. The detected intensity as a function of detector phase is a sinusoidal function that is sensitive to the lifetime of the fluorescent species. In this paper, the theory of phase-sensitive fluorescence image correlation spectroscopy is described. In this version of lifetime imaging, image correlation spectroscopy analysis (i.e., spatial autocorrelation) is applied to successive fluorescence images acquired at different phase settings of the detector. Simulations of different types of lifetime distributions reveal that the phase-dependent density of fluorescent objects is dependent on the heterogeneity of lifetimes present in the objects. We provide an example of this analysis workflow to a cervical cancer cell stained with a fluorescent membrane probe.

Stics Analysis Reveals the Role of Tau Phosphorylation in Regulating Lysosome Transport

Organelles move through a combination of active transport by motor proteins and diffusion. Tau, a protein that binds to mictrobule tracks, regulates the transport of organelles. To study how tau phosphorylation influences intracellular transport, we applied image correlation spectroscopy analysis to live-cell microscopy images of lysosomes in COS-7 cells expressing tau phosphomutants. Spatio-temporal image correlation spectroscopy (STICS) correlates fluorescence intensity fluctuations within an image through space and over time to measure velocities of mobile molecules and complexes. Compared to conventional tracking analysis, STICS does not rely on detecting and following individual fluorophores through space and time. Using total internal reflection fluorescence microscope, we performed live cell imaging on lysosomes labelled with lysotracker in COS-7 cells, and applied STICS to analyze the image time series. The STICS transport maps were further analyzed to generate histograms of the velocity magnitude and angle distributions of lysosome transport under different tau conditions. Using STICS analysis, we could resolve differences in the direction of lysosome transport under varying tau concentrations. Our results show that lysosome motility towards the cell nucleus increases, in presence of higher tau concentrations, whereas lower concentrations of tau result in vesicles moving both towards the periphery and the perinuclear region. Lysosomes at the central region of the cell are not inhibited by phosphomimetic tau. In contrast, lysosomes at the cell periphery are inhibited by wild-type and phosphomimetic tau. STICS analysis on lysosome motility shows that lysosomes exhibit different motility in the presence of tau according to their localization within the cell. Our results show that tau and its phosphorylation regulate cellular lysosome motility.

Dynamics of Non-Muscle Myosin II Organization into Stress Fibers and Contractile Networks

The cellular morphology of adhered cells critically depends on the formation of a contractile meshwork of parallel and cross-linked stress fibers along the contacting surface. The motor activity and mini-filament assembly of non-muscle myosin II is an important component of cell-level cytoskeletal remodeling during mechanosensing. To monitor the dynamics of non-muscle myosin II, we used confocal microscopy to image cultured HeLa cells that stably express myosin regulatory light chain tagged with GFP (MRLC-GFP). MRLC-GFP was monitored in time-lapse movies at steady state and during the response of cells to varying concentrations of blebbistatin which disrupts actomyosin stress fibers. Using image correlation spectroscopy analysis, we quantified the kinetics of disassembly and reassembly of actomyosin networks and compared them to studies by other groups. This analysis suggested that the following processes contribute to the assembly of cortical actomyosin and stress fibers: random myosin mini-filament assembly and disassembly along the cortex; myosin mini-filament aligning and contraction; stabilization of cortical myosin upon increasing contractile tension. We developed simple numerical simulations that include those processes. The results of simulations of cells at steady state and in response to blebbistatin capture some of the main features observed in the experiments. This study provides a framework to help interpret how different cortical myosin remodeling kinetics may contribute to different cell shape and rigidity depending on substrate stiffness.

Dynamic maintenance of asymmetric meiotic spindle position through Arp2/3-complex-driven cytoplasmic streaming in mouse oocytes

MaturemammalianoocytesarepoisedforcompletingmeiosisII (MII) on fertilization by positioning the spindle close to an actomyosin-rich cortical cap. Here, we show that the Arp2/3 complex localizes to the cortical cap in a Ran-GTPase-dependent manner and nucleates actin filaments in the cortical cap and a cytoplasmic actin network. Inhibition of Arp2/3 activity leads to rapid dissociation of the spindle from the cortex. Live-cell imaging and spatiotemporal image correlation spectroscopy analysis reveal that actin filaments flow continuously away from the Arp2/3-rich cortex, driving a cytoplasmic streaming expected to exert a net pushing force on the spindle towards the cortex. Arp2/3 inhibition not only diminishes this actin flow and cytoplasmic streaming but also enables a reverse streaming driven by myosin-II-based cortical contraction, moving the spindle away from the cortex. Thus, the asymmetric MII spindle position is dynamically maintained as a result of balanced forces governed by the Arp2/3 complex.

Fluorescence correlation spectroscopy and fluorescence cross-correlation spectroscopy.

This article focuses on methods based on fluctuation correlation spectroscopy to determine the formation of protein complexes in living cells. We present the principles of the fluctuation method applied to cells. We discuss the novelty and the promises of this approach. The emphasis is in the discussion of the underlying statistical assumptions of the image correlation spectroscopy analysis rather than in reviewing applications of the method. Although one example of the application of the fluctuation method is given, this article also contains simulations that are better suited to illustrate and support the basic assumptions of the method.

Paxillin Dynamics Measured during Adhesion Assembly and Disassembly by Correlation Spectroscopy

Paxillin is an adaptor molecule involved in the assembly of focal adhesions. Using different fluorescence fluctuation approaches, we established that paxillin-EGFP is dynamic on many timescales within the cell, ranging from milliseconds to seconds. In the cytoplasmic regions, far from adhesions, paxillin is uniformly distributed and freely diffusing as a monomer, as determined by single-point fluctuation correlation spectroscopy and photon-counting histogram analysis. Near adhesions, paxillin dynamics are reduced drastically, presumably due to binding to protein partners within the adhesions. The photon-counting histogram analysis of the fluctuation amplitudes reveals that this binding equilibrium in new or assembling adhesions is due to paxillin monomers binding to quasi-immobile structures, whereas in disassembling adhesions or regions of adhesions, the equilibrium is due to exchange of large aggregates. Scanning fluctuation correlation spectroscopy and raster-scan image correlation spectroscopy analysis of laser confocal images show that the environments within adhesions are heterogeneous. Relatively large adhesions appear to slide transversally due to a treadmilling mechanism through the addition of monomeric paxillin at one side and removal of relatively large aggregates of proteins from the retracting edge. Total internal reflection microscopy performed with a fast acquisition EM-CCD camera completes the overall dynamic picture and adds details of the heterogeneous dynamics across single adhesions and simultaneous bursts of activity at many adhesions across the cell.

Histone acetylation increases chromatin accessibility

In eukaryotes, the interaction of DNA with proteins and supramolecular complexes involved in gene expression is controlled by the dynamic organization of chromatin inasmuch as it defines the DNA accessibility. Here, the nuclear distribution of microinjected fluorescein-labeled dextrans of 42 kDa to 2.5 MDa molecular mass was used to characterize the chromatin accessibility in dependence on histone acetylation. Measurements of the fluorescein-dextran sizes were combined with an image correlation spectroscopy analysis, and three different interphase chromatin condensation states with apparent pore sizes of 16-20 nm, 36-56 nm and 60-100 nm were identified. A reversible change of the chromatin conformation to a uniform 60-100 nm pore size distribution was observed upon increased histone acetylation. This result identifies histone acetylation as a central factor in the dynamic regulation of chromatin accessibility during interphase. In mitotic chromosomes, the chromatin exclusion limit was 10-20 nm and independent of the histone acetylation state.

An image correlation analysis of the distribution of clathrin associated adaptor protein (AP-2) at the plasma membrane.

Clathrin associated adaptor protein is involved in endocytosis at the plasma membrane (AP-2) and protein sorting at the Golgi membrane (AP-1). There is a great deal of information available on the structure, function and binding characteristics of AP-2, however, there is little quantitative data on the AP-2 distribution at the membrane. Image correlation spectroscopy is a technique which yields number counts from an autocorrelation analysis of intensity fluctuations within confocal microscopy images. Image correlation spectroscopy analysis of the indirect immunofluorescence from AP-2 at the plasma membrane of CV-1 cells shows that AP-2 is in a bimodal distribution consisting of large coated pit associated aggregates of approximately 60 AP-2 molecules, and smaller aggregates containing approximately 20 AP-2 molecules, which we propose are coated pit nucleation sites. Following hypertonic treatment 25% of the AP-2 molecules dissociate from the large AP-2 aggregates and form AP-2 dimers, leaving the remaining AP-2 as large aggregates with approximately 45 molecules. The smaller AP-2 aggregates completely dissociate forming AP-2 dimers. Dispersion of AP-2 with hypertonic treatment is not seen qualitatively because the number of large AP-2 aggregates is unchanged, the aggregates are just 25% smaller. Change in temperature from 37 degrees C to 4 degrees C has no affect on the number of AP-2 aggregates or the AP-2 distribution between the two populations. These data and estimates of the coated pit size suggest that coated pits cover approximately 0.9% of the cell membrane. Combination of image correlation spectroscopy analysis and measurements of the CV-1 cell surface area show that there are approximately 6x10(5) AP-2 molecules per CV-1 cell with approximately 2x10(5) AP-2 molecules within coated pit structures.