Anthony Squire

Fluorescence lifetime imaging microscopy: spatial resolution of biochemical processes in the cell

Fluorescence lifetime imaging microscopy (FLIM) is a technique in which the mean fluorescence lifetime of a chromophore is measured at each spatially resolvable element of a microscope image. The nanosecond excited-state lifetime is independent of probe concentration or light path length but dependent upon excited-state reactions such as fluorescence resonance energy transfer (FRET). These properties of fluorescence lifetimes allow exploration of the molecular environment of labelled macromolecules in the interior of cells. Imaging of fluorescence lifetimes enables biochemical reactions to be followed at each microscopically resolvable location within the cell.

PKCα regulates β1 integrin-dependent cell motility through association and control of integrin traffic

Protein kinase C (PKC) has been implicated in integrin‐mediated spreading and migration. In mammary epithelial cells there is a partial co‐localization between β1 integrin and PKCα. This reflects complexes between these proteins as demonstrated by fluorescense resonance energy transfer (FRET) monitored by fluorescence lifetime imaging microscopy and also by coprecipitation. Constitutive complexes are observed for the intact PKCα and also form with the regulatory domain in an activation‐dependent manner. Expression of PKCα causes upregulation of β1 integrin on the cell surface, whereas stimulation of PKC induces internalization of β1 integrin. The integrin initially traffics to an endosomal compartment in a Ca2+/PI 3‐kinase/dynamin I‐dependent manner and subsequently enters an endocytic recycling pathway. This induction of endocytosis by PKCα is a function of activity and is not observed for the regulatory domain. PKCα, but not PKCα regulatory domain expression stimulates migration on β1 integrin substrates. This PKCα‐enhanced migratory response is inhibited by blockade of endocytosis.

Simultaneous detection of multiple green fluorescent proteins in live cells by fluorescence lifetime imaging microscopy

The green fluorescent protein (GFP) has proven to be an excellent fluorescent marker for protein expression and localisation in living cells [1] [2] [3] [4] [5]. Several mutant GFPs with distinct fluorescence excitation and emission spectra have been engineered for intended use in multi-labelling experiments [6] [7] [8] [9]. Discrimination of these co-expressed GFP variants by wavelength is hampered, however, by a high degree of spectral overlap, low quantum efficiencies and extinction coefficients [10], or rapid photobleaching [6]. Using fluorescence lifetime imaging microscopy (FLIM) [11] [12] [13] [14] [15] [16], four GFP variants were shown to have distinguishable fluorescence lifetimes. Among these was a new variant (YFP5) with spectral characteristics reminiscent of yellow fluorescent protein [8] and a comparatively long fluorescence lifetime. The fluorescence intensities of co-expressed spectrally similar GFP variants (either alone or as fusion proteins) were separated using lifetime images obtained with FLIM at a single excitation wavelength and using a single broad band emission filter. Fluorescence lifetime imaging opens up an additional spectroscopic dimension to wavelength through which novel GFP variants can be selected to extend the number of protein processes that can be imaged simultaneously in cells.

Global Analysis of Fluorescence Lifetime Imaging Microscopy Data

Global analysis techniques are described for frequency domain fluorescence lifetime imaging microscopy (FLIM) data. These algorithms exploit the prior knowledge that only a limited number of fluorescent molecule species whose lifetimes do not vary spatially are present in the sample. Two approaches to implementing the lifetime invariance constraint are described. In the lifetime invariant fit method, each image in the lifetime image sequence is spatially averaged to obtain an improved signal-to-noise ratio. The lifetime estimations from these averaged data are used to recover the fractional contribution to the steady-state fluorescence on a pixel-by-pixel basis for each species. The second, superior, approach uses a global analysis technique that simultaneously fits the fractional contributions in all pixels and the spatially invariant lifetimes. In frequency domain FLIM the maximum number of lifetimes that can be fit with the global analysis method is twice the number of lifetimes that can be fit with conventional approaches. As a result, it is possible to discern two lifetimes with a single-frequency FLIM setup. The algorithms were tested on simulated data and then applied to separate the cellular distributions of coexpressed green fluorescent proteins in living cells.

Recruitment of Eph receptors into signaling clusters does not require ephrin contact

Eph receptors and their cell membrane–bound ephrin ligands regulate cell positioning and thereby establish or stabilize patterns of cellular organization. Although it is recognized that ephrin clustering is essential for Eph function, mechanisms that relay information of ephrin density into cell biological responses are poorly understood. We demonstrate by confocal time-lapse and fluorescence resonance energy transfer microscopy that within minutes of binding ephrin-A5–coated beads, EphA3 receptors assemble into large clusters. While remaining positioned around the site of ephrin contact, Eph clusters exceed the size of the interacting ephrin surface severalfold. EphA3 mutants with compromised ephrin-binding capacity, which alone are incapable of cluster formation or phosphorylation, are recruited effectively and become phosphorylated when coexpressed with a functional receptor. Our findings reveal consecutive initiation of ephrin-facilitated Eph clustering and cluster propagation, the latter of which is independent of ephrin contacts and cytosolic Eph signaling functions but involves direct Eph–Eph interactions.

Multiple frequency fluorescence lifetime imaging microscopy

The experimental configuration and the computational algorithms for performing multiple frequency fluorescence lifetime imaging microscopy (mfFLIM) are described. The mfFLIM experimental set‐up enables the simultaneous homodyne detection of fluorescence emission modulated at a set of harmonic frequencies. This was achieved in practice by using monochromatic laser light as an excitation source modulated at a harmonic set of frequencies. A minimum of four frequencies were obtained by the use of two standing wave acousto‐optic modulators placed in series. Homodyne detection at each of these frequencies was performed simultaneously by mixing with matching harmonics present in the gain characteristics of a microchannel plate (MCP) image intensifier. These harmonics arise as a natural consequence of applying a high frequency sinusoidal voltage to the photocathode of the device, which switches the flow of photoelectrons ‘on’ and ‘off’ as the sinus voltage swings from negative to positive. By changing the bias of the sinus it was possible to control the duration of the ‘on’ state of the intensifier relative to its ‘off’ state, enabling the amplitude of the higher harmonic content in the gain to be controlled. Relative modulation depths of 400% are theoretically possible from this form of square‐pulse modulation. A phase‐dependent integrated image is formed by the sum of the mixed frequencies on the phosphor of the MCP. Sampling this signal over a full period of the fundamental harmonic enables each harmonic to be resolved, provided that the Nyquist sampling criterion is satisfied for the highest harmonic component in the signal. At each frequency both the phase and modulation parameters can be estimated from a Fourier analysis of the data. These parameters enable the fractional populations and fluorescence lifetimes of individual components of a complex fluorescence decay to be resolved on a pixel‐by‐pixel basis using a non‐linear fit to the dispersion relationships. The fitting algorithms were tested on a simulated data set and were successful in disentangling two populations having 1 ns and 4 ns fluorescence lifetimes. Spatial invariance of the lifetimes was exploited to improve the accuracy significantly. Multiple frequency fluorescence lifetime imaging microscopy was then successfully applied to resolve the fluorescence lifetimes and fluorescence intensity contributions in a rhodamine dye mixture in solution, and green fluorescent protein variants co‐expressed in live cells.

Three dimensional image restoration in fluorescence lifetime imaging microscopy

A microscope set‐up and numerical methods are described which enable the measurement and reconstruction of three‐dimensional nanosecond fluorescence lifetime images in every voxel. The frequency domain fluorescence lifetime imaging microscope (FLIM) utilizes phase detection of high‐frequency modulated light by homodyne mixing on a microchannel plate image intensifier. The output signal at the image intensifiers phosphor screen is integrated on a charge coupled device camera. A scanning stage is employed to obtain a series of phase‐dependent intensity images at equally separated depths in a specimen. The Fourier transform of phase‐dependent data gives three‐dimensional (3D) images of the Fourier coefficients. These images are deblurred using an Iterative Constrained Tikhonov–Miller (ICTM) algorithm in conjunction with a measured point spread function. The 3D reconstruction of fluorescence lifetimes are calculated from the deblurred images of the Fourier coefficients. An improved spatial and temporal resolution of fluorescence lifetimes was obtained using this approach to the reconstruction of simulated 3D FLIM data. The technique was applied to restore 3D FLIM data of a live cell specimen expressing two green fluorescent protein fusion constructs having distinct fluorescence lifetimes which localized to separate cellular compartments.

Wide-field optically sectioning fluorescence microscopy with laser illumination.

We describe an extremely simple method by which optically sectioned fluorescence images may be obtained with conventional microscopes using laser illumination. A one‐dimensional grid pattern is introduced into the illumination system, together with a rotating ground glass diffuser. This causes an image of the grid pattern to be projected into the specimen. Images taken at three spatial positions of the grid are processed in a simple manner to provide optically sectioned images of fluorescent specimens.

In situ analysis of tyrosine phosphorylation networks by FLIM on cell arrays

Extracellular stimuli are transduced inside the cell by posttranslational modifications (PTMs), such as phosphorylation, of proteins in signaling networks. Insight into the structure of these networks requires quantification of PTM levels in individual cells. Fluorescence resonance energy transfer (FRET) measured by fluorescence lifetime imaging microscopy (FLIM) is a powerful tool to image PTM levels in situ. FLIM on cell arrays that express fluorescent protein fusions can quantify tyrosine phosphorylation patterns in large networks in individual cells. We identified tyrosine kinase substrates by imaging their phosphorylation levels after inhibition of protein tyrosine phosphatases. Analysis of the correlation between protein phosphorylation and expression levels at single cell resolution allowed us to identify positive feedback motifs. Using FLIM on cell arrays (CA-FLIM), we uncovered components that transduce signals from epidermal growth factor receptor.

Improved spatial discrimination of protein reaction states in cells by global analysis and deconvolution of fluorescence lifetime imaging microscopy data

The deconvolution of fluorescence lifetime imaging microscopy (FLIM) data that were processed with global analysis techniques is described. Global analysis of FLIM data enables the determination of relative numbers of molecules in different protein reaction states on a pixel‐by‐pixel basis in cells. The three‐dimensional fluorescence distributions of each protein state can then be calculated and deconvolved. High‐resolution maps of the relative concentrations of each state are then obtained from the deconvolved images. We applied these techniques to quantitatively image the phosphorylation state of ErbB1 receptors tagged with green fluorescent protein in MCF7 cells.