Philip R. Nicovich

Engineering neuronal growth cones to promote axon regeneration over inhibitory molecules

Neurons in the central nervous system (CNS) fail to regenerate axons after injuries due to the diminished intrinsic axon growth capacity of mature neurons and the hostile extrinsic environment composed of a milieu of inhibitory factors. Recent studies revealed that targeting a particular group of extracellular inhibitory factors is insufficient to trigger long-distance axon regeneration. Instead of antagonizing the growing list of impediments, tackling a common target that mediates axon growth inhibition offers an alternative strategy to promote axon regeneration. Neuronal growth cone, the machinery that derives axon extension, is the final converging target of most, if not all, growth impediments in the CNS. In this study, we aim to promote axon growth by directly targeting the growth cone. Here we report that pharmacological inhibition or genetic silencing of nonmuscle myosin II (NMII) markedly accelerates axon growth over permissive and nonpermissive substrates, including major CNS inhibitors such as chondroitin sulfate proteoglycans and myelin-associated inhibitors. We find that NMII inhibition leads to the reorganization of both actin and microtubules (MTs) in the growth cone, resulting in MT reorganization that allows rapid axon extension over inhibitory substrates. In addition to enhancing axon extension, we show that local blockade of NMII activity in axons is sufficient to trigger axons to grow across the permissive–inhibitory border. Together, our study proposes NMII and growth cone cytoskeletal components as effective targets for promoting axon regeneration.

Tracing the Fate of Limbal Epithelial Progenitor Cells in the Murine Cornea

Stem cell (SC) division, deployment, and differentiation are processes that contribute to corneal epithelial renewal. Until now studying the destiny of these cells in a living mammal has not been possible. However, the advent of inducible multicolor genetic tagging and powerful imaging technologies has rendered this achievable in the translucent and readily accessible murine cornea. K14CreERT2‐Confetti mice that harbor two copies of the Brainbow 2.1 cassette, yielding up to 10 colors from the stochastic recombination of fluorescent proteins, were used to monitor K‐14+ progenitor cell dynamics within the corneal epithelium in live animals. Multicolored columns of cells emerged from the basal limbal epithelium as they expanded and migrated linearly at a rate of 10.8 µm/day toward the central cornea. Moreover, the permanent expression of fluorophores, passed on from progenitor to progeny, assisted in discriminating individual clones as spectrally distinct streaks containing more than 1,000 cells within the illuminated area. The centripetal clonal expansion is suggestive that a single progenitor cell is responsible for maintaining a narrow corridor of corneal epithelial cells. Our data are in agreement with the limbus as the repository for SC as opposed to SC being distributed throughout the central cornea. This is the first report describing stem/progenitor cell fate determination in the murine cornea using multicolor genetic tracing. This model represents a powerful new resource to monitor SC kinetics and fate choice under homeostatic conditions, and may assist in assessing clonal evolution during corneal development, aging, wound‐healing, disease, and following transplantation. Stem Cells 2015;33:157–169

Turning single-molecule localization microscopy into a quantitative bioanalytical tool

Single-molecule localization microscopy (SMLM) generates super-resolution images by serially detecting individual fluorescent molecules. The power of SMLM, however, goes beyond images: biologically relevant information can be extracted from the mathematical relationships between the positions of the fluorophores in space and time. Here we review the history of SMLM and how recent progress in methods for spatial point analysis has enabled quantitative measurement of SMLM data, providing insights into biomolecule patterning, clustering and oligomerization in biological systems.

Nanomolar oligomerization and selective co-aggregation of α-synuclein pathogenic mutants revealed by single-molecule fluorescence

Protein aggregation is a hallmark of many neurodegenerative diseases, notably Alzheimer’s and Parkinson’s disease. Parkinson’s disease is characterized by the presence of Lewy bodies, abnormal aggregates mainly composed of α-synuclein. Moreover, cases of familial Parkinson’s disease have been linked to mutations in α-synuclein. In this study, we compared the behavior of wild-type (WT) α-synuclein and five of its pathological mutants (A30P, E46K, H50Q, G51D and A53T). To this end, single-molecule fluorescence detection was coupled to cell-free protein expression to measure precisely the oligomerization of proteins without purification, denaturation or labelling steps. In these conditions, we could detect the formation of oligomeric and pre-fibrillar species at very short time scale and low micromolar concentrations. The pathogenic mutants surprisingly segregated into two classes: one group forming large aggregates and fibrils while the other tending to form mostly oligomers. Strikingly, co-expression experiments reveal that members from the different groups do not generally interact with each other, both at the fibril and monomer levels. Together, this data paints a completely different picture of α-synuclein aggregation, with two possible pathways leading to the development of fibrils.

An intermolecular FRET sensor detects the dynamics of T cell receptor clustering

Clustering of the T-cell receptor (TCR) is thought to initiate downstream signalling. However, the detection of protein clustering with high spatial and temporal resolution remains challenging. Here we establish a Förster resonance energy transfer (FRET) sensor, named CliF, which reports intermolecular associations of neighbouring proteins in live cells. A key advantage of the single-chain FRET sensor is that it can be combined with image correlation spectroscopy (ICS), single-particle tracking (SPT) and fluorescence lifetime imaging microscopy (FLIM). We test the sensor with a light-sensitive actuator that induces protein aggregation upon radiation with blue light. When applied to T cells, the sensor reveals that TCR triggering increases the number of dense TCR–CD3 clusters. Further, we find a correlation between cluster movement within the immunological synapse and cluster density. In conclusion, we develop a sensor that allows us to map the dynamics of protein clustering in live T cells.

A FRET sensor enables quantitative measurements of membrane charges in live cells

Membrane charge has a critical role in protein trafficking and signaling. However, quantification of the effective electrostatic potential of cellular membranes has remained challenging. We developed a fluorescence membrane charge sensor (MCS) that reports changes in the membrane charge of live cells via Förster resonance energy transfer (FRET). MCS is permanently attached to the inner leaflet of the plasma membrane and shows a linear, reversible and fast response to changes of the electrostatic potential. The sensor can monitor a wide range of cellular treatments that alter the electrostatic potential, such as incorporation and redistribution of charged lipids and alterations in cytosolic ion concentration. Applying the sensor to T cell biology, we used it to identify charged membrane domains in the immunological synapse. Further, we found that electrostatic interactions prevented spontaneous phosphorylation of the T cell receptor and contributed to the formation of signaling clusters in T cells.

Towards single molecule biosensors using super-resolution fluorescence microscopy

Conventional immunosensors require many binding events to give a single transducer output which represents the concentration of the analyte in the sample. Because of the requirements to selectively detect species in complex samples, immunosensing interfaces must allow immobilisation of antibodies while repelling nonspecific adsorption of other species. These requirements lead to quite sophisticated interfacial design, often with molecular level control, but we have no tools to characterise how well these interfaces work at the molecular level. The work reported herein is an initial feasibility study to show that antibody-antigen binding events can be monitored at the single molecule level using single molecule localisation microscopy (SMLM). The steps to achieve this first requires showing that indium tin oxide surfaces can be used for SMLM, then that these surfaces can be modified with self-assembled monolayers using organophosphonic acid derivatives, that the amount of antigens and antibodies on the surface can be controlled and monitored at the single molecule level and finally antibody binding to antigen modified surfaces can be monitored. The results show the amount of antibody that binds to an antigen modified surface is dependent on both the concentration of antigen on the surface and the concentration of antibody in solution. This study demonstrates the potential of SMLM for characterising biosensing interfaces and as the transducer in a massively parallel, wide field, single molecule detection scheme for quantitative analysis.

Measuring membrane association and protein diffusion within membranes with supercritical angle fluorescence microscopy.

Supercritical angle fluorescence (SAF) detection combines the axial discrimination and exquisite signal-to-noise ratio of total internal reflection fluorescence (TIRF) with the lateral discrimination and convenience of confocal excitation. This combination makes SAF ideal for fluorescence correlation spectroscopy (FCS) on membranes and other structures in close proximity to the coverslip. Here we report a straightforward modification of a commercial microscope to implement SAF FCS and demonstrate in both model supported lipid bilayers and cellular systems that this approach shows an increase in signal from membrane-bound fluorophores relative to fluorophores in solution, benchmarked against line-scanning FCS. SAF FCS allowed us to demonstrate that activation of the T cell receptor resulted in the recruitment of the kinase Lck to the plasma membrane as well as a reduction in Lck mobility within the membrane.

Acquisition frame rate affects microtubule plus-end tracking analysis

Acquisition frame rate affects microtubule plus-end tracking analysis To the Editor: The plusTipTracker software package originally reported by Matov et al.1,2 automates the identification, tracking and analysis of fluorescently labeled microtubule plus-end growth markers, quantifying hundreds or thousands of microtubule polymerization events in live-cell time-lapse images1,2. This algorithm infers microtubule plus-end positions during intermittent nonvisible pause and catastrophe states by spatiotemporally connecting disjointed tracks of visible plus-end labels that occur along the same microtubule vector. Pause and catastrophe states are categorized on the basis of the speed of inferred microtubule ends during the nonvisible period. This inference method can add an interesting artifact to the analysis. If a microtubule crosses from a pause or catastrophe state into a growth state during a single frame, the analysis will often consider the microtubule in a growth state over that time (Fig. 1a). This artifact is apparent in time-lapse images of fluorescently labeled plus-end trackers in live cells acquired at 4.0 Hz and downsampled to 2.0, 1.3 or 1.0 Hz by selecting every second, third or fourth image from the original data set (Supplementary Methods and Supplementary Table 1). The downsampling phase (that is, on which frame downsampling begins) does not affect the results (Supplementary Figs. 1 and 2). Resampled data from all phase shifts at a given rate were pooled such that 161 images were analyzed at each rate. A decrease in frame rate leads to an apparent decrease in polymerization rate and increase in depolymerization rate (Fig. 1b). More striking is the large increase of percentage time in the growth phase at the expense of percentage time in the pause and catastrophe phases (Fig. 1c). Trajectory maps from data at 4.0-Hz and 1.0-Hz acquisition rates show many pause and catastrophe events are missed or are interpreted as growth events in downsampled data (Fig. 1d) though the detected comet density remains constant (Supplementary Fig. 3). A more insidious effect of an insufficient frame rate can be seen under varying Taxol treatment, which functions to stabilize microtubules. At 4.0-Hz acquisition rate, percentage time in growth remains constant, whereas percentage time in pause increases at

FSCS Reveals the Complexity of Lipid Domain Dynamics in the Plasma Membrane of Live Cells

The coexistence of lipid domains with different degrees of lipid packing in the plasma membrane of mammalian cells has been postulated, but direct evidence has so far been challenging to obtain because of the small size and short lifetime of these domains in live cells. Here, we use fluorescence spectral correlation spectroscopy in conjunction with a probe sensitive to the membrane environment to quantify spectral fluctuations associated with dynamics of membrane domains in live cells. With this method, we show that membrane domains are present in live COS-7 cells and have a lifetime lower bound of 5.90 and 14.69 ms for the ordered and disordered phases, respectively. Comparisons to simulations indicate that the underlying mechanism of these fluctuations is complex but qualitatively described by a combination of dye diffusion between membrane domains as well as the motion of domains within the membrane.