Cytotoxic T lymphocytes (CTLs) play a pivotal role in antitumor immunity via inducing apoptosis in cancer cells. However, their effector functions can be compromised by the perturbations in the tumor microenvironment (TME). Among the diverse factors within the TME, the effects of stiffness of the extracellular matrix (ECM) on CTL-mediated responses require greater understanding. To address this gap, we three-dimensionally bioprinted CTLs and targeted cells in polyethylene glycol-based ECM mimics with tunable stiffness and uniform porosity. Our findings reveal that CTLs in stiffer ECMs showed reduced migration speed and impaired antigen-specific cytotoxicity. Synapse formation analysis revealed that stiffer ECMs impair CTL efficacy not by reducing the frequency of CTL-target cell contacts but by shortening the contact time between these cells, a consequence of disrupted immunological synapse formation. Live Ca2+ imaging and expression of phospho-ZAP70 confirmed these findings. Together, these results suggest that ECM stiffness modulates CTL function at multiple levels, from migration to cytotoxicity and synapse quality.

Linker for activation of T cells (LAT) is an essential adaptor protein in early T cell receptor (TCR) signaling that propagates multiple signaling pathways. However, how LAT spatial organization facilitates signal initiation and propagation after TCR triggering is not clear. To differentiate de novo assembly in the plasma membrane from pre-existing LAT vesicles and clusters, we developed imaging protocols and analyses to capture the organization and dynamics of single LAT molecules immediately after TCR engagement. We could observe individual LAT molecules in the plasma membrane that assembled into immobile signaling entities requiring LAT phosphorylation. This step-wise assembly process was temporally highly coordinated via the zeta-chain-associated protein kinase 70 (Zap70)-LAT-growth factor receptor-bound protein 2 (Grb2) pathway. While multiple spatial organization co-existed even within the plasma membrane, our data suggest that de novo plasma membrane assemblies facilitated signal propagation.

Three-dimensional (3D) in vitro models enable us to understand cell behavior that is a better reflection of what occurs in vivo than 2D in vitro models. As a result, developing 3D models for extracellular matrix (ECM) has been growing exponentially. Most of the efforts for these 3D models are geared toward understanding cancer cells. An intricate network of cells that engages with cancer cells and can kill them are the immune cells, particularly cytotoxic T lymphocytes (CTLs). However, limited reports are available for 3D ECM mimics to understand CTL dynamics. Currently, we lack ECM mimetic hydrogels for immune cells, with sufficient control over variables, such as stiffness, to fully understand CTL dynamics in vitro. Here, we developed PEG-based hydrogels as ECM mimics for CTLs. The ECM mimics are targeted to mimic the stiffness of soft tissues where CTLs reside, migrate, and deliver their function. To understand cell-material interaction, we determined the porosity, biocompatibility, and stiffness of the ECM mimics. The ECM mimics have median pore sizes of 10.7 and 13.3 μm, close to the average nucleus size of CTLs (~8.6 μm), and good biocompatibility to facilitate cell migration. The stiffness of the ECM mimics corresponds to biologically relevant microenvironments such as lungs and kidneys. Using time-lapse fluorescence microscopy, 3D cell migration was imaged and measured. CTLs migrated faster in softer ECM mimic with larger pores, consistent with previous studies in collagen (the gold standard ECM mimic for CTLs). The work herein demonstrates that the PEG-based ECM mimic can serve as an in vitro tool to elucidate the cell dynamics of CTLs. Thus, this study opens possibilities to study the mechanics of CTLs in well-defined ECM mimic conditions in vitro.

This study presents the combination of electrochemical cell based biosensor and fluorescence microscopy on a single platform to track biomolecular processes contributing to the morphology changes of the cells. Initial experiments demonstrate that using interdigitated electrodes where the gold microfingers were comparable in width and spacing to a single cell have the optimal sensitivity in the final electrochemical cell based-sensing device. This was determined by measuring the cell index, based on the impedance analysis of bare and cell-covered microelectrodes. The fabrication of the electrodes on a glass substrate enabled the capture of high-resolution fluorescence microscopy images of single cells and related intracellular calcium release inside the HeLa cells via a window incorporated into the gold microelectrode design. As an illustration of the enhanced capability of the combined approach over traditional impedance cellular assay, the opto-electric assay was utilized as a functional readout for G protein couple receptor activation. The simultaneous examinations of cells stimulated with histamine demonstrated an association between time courses of changes in cytosolic calcium concentration and reductions in cell-cell adhesions. +image

Stochastic optical reconstruction microscopy (STORM) allows widefield imaging with single molecule resolution through calculating the coordinates of individual fluorophores from the separation of the fluorophore emission in both time and space. Such separation is achieved by photoswitching the fluorophores between a long lived OFF state and an emissive ON state. Despite STORM having revolutionized cellular imaging it remains challenging for quantitative imaging of single molecules due to a number of limitations, such as photobleaching caused under counting, overlapping emitters related fitting error, and repetitive but random blinking induced over counting. To overcome these limitations, we develop an electrochemical approach to switch the fluorophores between ON and OFF states for STORM (EC-STORM). The approach provides greater control over the fluorophore recovery yield, emitter density, and random blinking than photochemically switching. The result is EC-STORM has superior imaging capability than conventional photochemical STORM and can perform molecular counting; a significant advance.

Synthetic hydrogels have been used widely as extracellular matrix (ECM) mimics due to the ability to control and mimic physical and biochemical cues observed in natural ECM proteins such as collagen, laminin, and fibronectin. Most synthetic hydrogels are formed via covalent bonding resulting in slow gelation which is incompatible with drop-on-demand 3D bioprinting of cells and injectable hydrogels for therapeutic delivery. Herein, we developed an electrostatically crosslinked PEG-based hydrogel system for creating high-throughput 3D in vitro models using synthetic hydrogels to mimic the ECM cancer environment. A 3-arm PEG-based polymer backbone was first modified with either permanent cationic charged moieties (2-(methacryloyloxy)ethyl trimethylammonium) or permanent anionic charged moieties (3-sulfopropyl methacrylate potassium salt). The resulting charged polymers can be conjugated further with various amounts of cell adhesive RGD motifs (0, 25, 75, and 98%) to study the influences of RGD motifs on breast cancer (MCF-7) spheroid formation. Formation, stability, and mechanical properties of hydrogels were tested with, and without, RGD to evaluate the cellular response to material parameters in a 3D environment. The hydrogels can be degraded in the presence of salts at room temperature by breaking the interaction of oppositely charged polymer chains. MCF-7 cells could be released with high viability through brief exposure to NaCl solution. Flow cytometry characterization demonstrated that embedded MCF-7 cells proliferate better in a softer (60 Pa) 3D hydrogel environment compared to those that are stiffer (1160 Pa). As the stiffness increases, the RGD motif plays a role in promoting cell proliferation in the stiffer hydrogel. Flow cytometry characterization demonstrated that embedded MCF-7 cells proliferate better in a softer (60 Pa) 3D hydrogel environment compared to those that are stiffer (1160 Pa). As the stiffness increases, the RGD motif plays a role in promoting cell proliferation in the stiffer hydrogel. Additionally, cell viability was not impacted by the tested hydrogel stiffness range between 60 to 1160 Pa. Taken together, this PEG-based tuneable hydrogel system shows great promise as a 3D ECM mimic of cancer extracellular environments with controllable biophysical and biochemical properties. The ease of gelation and dissolution through salt concentration provides a way to quickly harvest cells for further analysis at any given time of interest without compromising cell viability.

Herein is explored a dual optical and electrical cell based biosensor that can provide insights into cellular events. The fabrication steps along with the electrical characterization of the microelectrodes is described. Initial experiments show that the ability of indium tin oxide (ITO) to detect biological cells at the electrode-cell layer interface mainly depends on the size of sensing area. Following this, the impact of conductivity was also explored to assess the real time impedance signal during the adhesion of a non-confluent layer of the cells on different substrates. Electrodes with a higher conductivity than ITO gave much higher senstivity of impedance changes which allowed the dynamics of subtle cellular morphology changes to be monitored at densities far lower than a confluent layer of cells. Finally, the capability of ITO and gold microelectrode as a functional readout for G protein couple receptor activation were determined. These set of analyses highlighted the challenges and opportunities of ITO substrate as a dual cell-based assay for quantitative analysis of subtle changes in cell morphology.

Switchable fluorescent proteins, for which fluorescence can be switched ON and OFF, are widely used for molecule tracking and super resolution imaging. However, the robust use of the switchable fluorescent proteins is still limited as either the switching is not repeatable, or such switching requires irradiation with coupled lasers of different wavelengths. Herein, we report an electrochemical approach to reversible fluorescence switching for enhanced green fluorescent proteins (EGFP) on indium tin oxide coated glass. Our results demonstrate that negative and positive electrochemical potentials can efficiently switch the fluorescent proteins between the dim (OFF) and bright (ON) states at the single molecule level. The electrochemical fluorescence switching is fast, reversible, and may be performed up to hundreds of cycles before photobleaching occurs. These findings highlight that this method of electrochemical fluorescence switching can be incorporated into advanced fluorescence microscopy.

Single-objective scanning light sheet (SOLS) imaging has fueled major advances in volumetric bioimaging because it supports low phototoxic, high-resolution imaging over an extended period. The remote imaging unit in the SOLS does not use a conventional epifluorescence image detection scheme (a single tube lens). In this paper, we propose a technique called the computational SOLS (cSOLS) that achieves light sheet imaging without the remote imaging unit. Using a single microlens array after the tube lens (lightfield imaging), the cSOLS is immediately compatible with conventional epifluorescence detection. The core of cSOLS is a Fast Optical Ray (FOR) model. FOR generates 3D imaging volume (40 × 40 × 14 µm3) using 2D lightfield images taken under SOLS illumination within 0.5 s on a standard central processing unit (CPU) without multicore parallel processing. In comparison with traditional lightfield retrieval approaches, FOR reassigns fluorescence photons and removes out-of-focus light to improve optical sectioning by a factor of 2, thereby achieving a spatial resolution of 1.59 × 1.92 × 1.39 µm3. cSOLS with FOR can be tuned over a range of oblique illumination angles and directions and, therefore, paves the way for next-generation SOLS imaging. cSOLS marks an important and exciting development of SOLS imaging with computational imaging capabilities.

MR1 is a highly conserved microbial immune-detection system in mammals. It captures vitamin B-related metabolite antigens from diverse microbes and presents them at the cell surface to stimulate MR1-restricted lymphocytes including mucosal-associated invariant T (MAIT) cells. MR1 presentation and MAIT cell recognition mediate homeostasis through host defense and tissue repair. The cellular mechanisms regulating MR1 cell surface expression are critical to its function and MAIT cell recognition, yet they are poorly defined. Here, we report that human MR1 is equipped with a tyrosine-based motif in its cytoplasmic domain that mediates low affinity binding with the endocytic adaptor protein 2 (AP2) complex. This interaction controls the kinetics of MR1 internalization from the cell surface and minimizes recycling. We propose MR1 uses AP2 endocytosis to define the duration of antigen presentation to MAIT cells and the detection of a microbial metabolic signature by the immune system.

We propose a theoretical model for the influence of confinement on biomolecular binding at the single-molecule scale at equilibrium, based on the change of the number of microstates (localization and orientation) upon reaction. Three cases are discussed: DNA sequences shorter and longer than the single strain DNA Kuhn length and spherical proteins, confined into a spherical container (liposome, droplet, etc.). The influence of confinement is found to be highly dependent on the molecular structure and significant for large molecules (relative to container size).

Superresolution techniques have advanced our understanding of complex cellular structures and processes but require the attachment of fluorophores to targets through tags or antibodies, which can be bulky and result in underlabeling. To overcome these limitations, we developed a technique to visualize the nanoscale binding locations of signaling proteins by taking advantage of their native interaction domains. Here, we demonstrated that pPAINT (protein point accumulation in nanoscale topography) is a new, single-molecule localization microscopy (SMLM) technique and used it to investigate T cell signaling by visualizing the Src homology 2 (SH2) domain, which is common in signaling molecules. When SH2 domain-containing proteins relocate to the plasma membrane, the domains selectively, transiently, and reversibly bind to preferred phosphorylated tyrosine residues on receptors. This transient binding yields the stochastic blinking events necessary for SMLM when observed with total internal reflection microscopy and enables quantification of binding coefficients in intact cells. We used pPAINT to reveal the binding sites of several T cell receptor-proximal signaling molecules, including Zap70, PI3K, Grb2, Syk, Eat2, and SHP2, and showed that the probes could be multiplexed. We showed that the binding half-life of the tandem SH2 domain of PI3K correlated with binding site cluster size at the immunological synapses of T cells, but that longer binding lifetimes were associated with smaller clusters for the monovalent SH2 domain of Eat2. These results demonstrate the potential of pPAINT for investigating phosphotyrosine-mediated signaling processes at the plasma membrane.

Pre-clinical and clinical studies are currently underway to evaluate the potential of phosphodiesterase-4 (PDE4) inhibitors for the treatment of chronic obstructive pulmonary disease and other inflammatory conditions of the airways. The most common side effect associated with this class of compounds is emesis. The squirrel monkey provides a model for evaluating the efficacy of PDE4 inhibitors and their emetic potential. The distribution of three PDE4 isoforms (A, C and D) has been investigated in the squirrel monkey medulla and nodose ganglion to determine which isoform(s) could be responsible for the emetic adverse effects. The distribution of PDE4 isoforms was delineated using immunohistochemistry with antibodies specific for PDE4A, PDE4C and PDE4D and by in situ hybridization with isoform-selective riboprobes. PDE4A was present in the medulla where expression was mostly restricted to glial cells and the vasculature. PDE4C was not detected in either the medulla or nodose ganglion. Finally, the PDE4D isoform was localized to neurons in the nodose ganglion and found through many structures of medulla including the area postrema, neurons of the nucleus tractus solitarius and locus coeruleus. These data are consistent with a role for PDE4D in the emetic response.

Protein-protein binding domains are critical in signaling networks. Src homology 2 (SH2) domains are binding domains that interact with sequences containing phosphorylated tyrosines. A subset of SH2 domain-containing proteins has tandem domains, which are thought to enhance binding affinity and specificity. However, a trade-off exists between long-lived binding and the ability to rapidly reverse signaling, which is a critical requirement of noise-filtering mechanisms such as kinetic proofreading. Here, we use modeling to show that the unbinding rate of tandem, but not single, SH2 domains can be accelerated by phosphatases. Using surface plasmon resonance, we show that the phosphatase CD45 can accelerate the unbinding rate of zeta chain-associated protein kinase 70 (ZAP70), a tandem SH2 domain-containing kinase, from biphosphorylated peptides from the T cell receptor (TCR). An important functional prediction of accelerated unbinding is that the intracellular ZAP70-TCR half-life in T cells will not be fixed but rather, dependent on the extracellular TCR-antigen half-life, and we show that this is the case in both cell lines and primary T cells. The work highlights that tandem SH2 domains can break the trade-off between signal fidelity (requiring long half-life) and signal reversibility (requiring short half-life), which is a key requirement for T cell antigen discrimination mediated by kinetic proofreading.

T cells are highly sensitive to low levels of antigen, but how this sensitivity is achieved is currently unknown. Here, we imaged proximal TCR-CD3 signal propagation with single molecule localization microscopy (SMLM) in T cells activated with nanoscale clusters of TCR stimuli. We observed the formation of large TCR-CD3 clusters that exceeded the area of the ligand clusters, and required multivalent interactions facilitated by TCR-CD3 phosphorylation for assembly. Within these clustered TCR-CD3 domains, TCR-CD3 signaling spread laterally for ∼500 nm, far beyond the activating site, via non-engaged receptors. Local receptor density determined the functional cooperativity between engaged and non-engaged receptors, but lateral signal propagation was not influenced by the genetic deletion of ZAP70. Taken together, our data demonstrates that clustered ligands induced the clustering of non-ligated TCR-CD3 into domains that cooperatively facilitate lateral signal propagation.

Stimulated Emission Depletion (STED) microscopy increase spatial image resolution by laterally sharpening the illumination profile of the confocal microscope. However, it remains compromised in axial resolution. To improve axial STED resolution, constructive interference of the STED depletion beam must be formed surrounding the focal plane to turn off the fluorophores beyond the focal plane. For isotropic 3D-STED resolution, this axial STED interference pattern must be overlayed with the doughnut STED beam at nanometer accuracy. Such optical configurations can be challenging in alignment. In this current work, we introduced a straightforward lifetime based axial contrast in STED microscope by imaging the samples on an ITO coated glass coverslip. The STED laser generates surface plasmon resonance on the ITO surface that enhanced the metal induced energy transfer MIET effect on the ITO surface. The enhanced MIET effect established a lifetime gradient with ∼20% dynamic range that extend for mor than 400 nm from the ITO surface. The axial contrast based on the lifetime gradient was directly used for 3D-STED imaging of tubulin fibers inside COS-7 cells, where the vertical displacement of single tubulin fiber was revealed. Lifetime gating could be applied to further improve lateral spatial resolution. Considering that most common implementation of STED microscopes uses pulsed lasers and timing electronics, there is no optical modification of the microscope is required in the current 3D-STED approach.

Single molecule experiments have recently attracted enormous interest. Many of these studies involve the encapsulation of a single molecule into nanoscale containers (such as vesicles, droplets and nanowells). In such cases, the single molecule encapsulation efficiency is a key parameter to consider in order to get a statistically significant quantitative information. It has been shown that such encapsulation typically follows a Poisson distribution and such theory of encapsulation has only been applied to the encapsulation of single molecules into perfectly sized monodispersed containers. However, experimentally nanocontainers are usually characterized by a size distribution, and often just a single binding pair (rather than a single molecule) is required to be encapsulated. Here the use of Poisson distribution is extended to predict the encapsulation efficiency of two different molecules in an association equilibrium. The Poisson distribution is coupled with a log-normal distribution in order to consider the effect of the container size distribution, and the effect of adsorption to the container is also considered. This theory will allow experimentalists to determine what single molecule encapsulation efficiency can be expected as a function of the experimental conditions. Two case studies, based on experimental data, are given to support the theoretical predictions.

Single molecule localisation microscopy (SMLM) is a powerful tool that has revealed the spatial arrangement of cell surface signalling proteins, producing data of enormous complexity. The complexity is partly driven by the convolution of technical and biological signal components, and partly by the challenge of pooling information across many distinct cells. To address these two particular challenges, we have devised a novel algorithm called K-neighbourhood analysis (KNA), which emphasises the fact that each image can also be viewed as a composition of local neighbourhoods. KNA is based on a novel transformation, spatial neighbourhood principal component analysis (SNPCA), which is defined by the PCA of the normalised K-nearest neighbour vectors of a spatially random point pattern. Here, we use KNA to define a novel visualisation of individual images, to compare within and between groups of images and to investigate the preferential patterns of phosphorylation. This methodology is also highly flexible and can be used to augment existing clustering methods by providing clustering diagnostics as well as revealing substructure within microclusters. In summary, we have presented a highly flexible analysis tool that presents new conceptual possibilities in the analysis of SMLM images.

How nanoparticles distribute in living cells and overcome cellular barriers are important criteria in the design of drug carriers. Pair-correlation microscopy is a correlation analysis of fluctuation in the fluorescence intensity obtained by a confocal line scan that can quantify the dynamic properties of nanoparticle diffusion including the number of mobile nanoparticles, diffusion coefficient, and transit time across a spatial distance. Due to the potential heterogeneities in nanoparticle properties and the complexity within the cellular environment, quantification of averaged auto- and pair-correlation profiles may obscure important insights into the ability of nanoparticles to deliver drugs. To overcome this issue, we used phasor analysis to develop a data standardizing method, which can segment the scanned line into several subregions according to diffusion and address the spatial heterogeneity of nanoparticles moving inside cells. The phasor analysis is a fit-free method that represents autocorrelation profiles for each pixel relative to free diffusion on the so-called phasor plots. Phasor plots can then be used to select subpopulations for which the auto- and pair-correlation analysis can be performed separately. We demonstrate the phasor analysis for pair-correlation microscopy for investigating 16 nm, Cy5-labeled silica nanoparticles diffusing across the plasma membrane and green fluorescent proteins (GFP) diffusing across nuclear envelope in MCF-7 cells.

The data quality of high-resolution imaging can be markedly improved with active stabilization, which is based on feedback loops within the microscope that maintain the sample in the same location throughout the experiment. The purpose is to provide a highly accurate focus lock, therefore eliminating drift and improving localization precision. Here, we describe a step-by-step protocol for building a total internal reflection microscope combined with the feedback loops necessary for sample and detection stabilization, which we routinely use in single-molecule localization microscopy (SMLM). The performance of the final microscope with feedback loops, called feedback SMLM, has previously been described. We demonstrate how to build a replica of our system and include a list of the necessary optical components, tips, and an alignment strategy.