Rapid and specific detection of single nanoparticles and viruses in microfluidic laminar flow via confocal fluorescence microscopy.

Mainstream virus detection relies on the specific amplification of nucleic acids via polymerase chain reaction, a process that is slow and requires extensive laboratory expertise and equipment. Other modalities, such as antigen-based tests, allow much faster virus detection but have reduced sensitivity. In this study, we report the development of a flow virometer for the specific and rapid detection of single nanoparticles based on confocal microscopy. The combination of laminar flow and multiple dyes enable the detection of correlated fluorescence signals, providing information on nanoparticle volumes and specific chemical composition properties, such as viral envelope proteins. We evaluated and validated the assay using fluorescent beads and viruses, including SARS-CoV-2. Additionally, we demonstrate how hydrodynamic focusing enhances the assay sensitivity for detecting clinically-relevant virus loads. Based on our results, we envision the use of this technology for clinically relevant bio-nanoparticles, supported by the implementation of the assay in a portable and user-friendly setup.

Adhering interacting cells to two opposing coverslips allows super-resolution imaging of cell-cell interfaces.

Cell-cell interfaces convey mechanical and chemical information in multicellular systems. Microscopy has revealed intricate structure of such interfaces, yet typically with limited resolution due to diffraction and unfavourable orthogonal orientation of the interface to the coverslip. We present a simple and robust way to align cell-cell interfaces in parallel to the coverslip by adhering the interacting cells to two opposing coverslips. We demonstrate high-quality diffraction-limited and super-resolution imaging of interfaces (immune-synapses) between fixed and live CD8+ T-cells and either antigen presenting cells or melanoma cells. Imaging methods include bright-field, confocal, STED, dSTORM, SOFI, SRRF and large-scale tiled images. The low background, lack of aberrations and enhanced spatial stability of our method relative to existing cell-trapping techniques allow use of these methods. We expect that the simplicity and wide-compatibility of our approach will allow its wide dissemination for super-resolving the intricate structure and molecular organization in a variety of cell-cell interfaces.

FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices.

Single-molecule FRET (smFRET) has become a mainstream technique for studying biomolecular structural dynamics. The rapid and wide adoption of smFRET experiments by an ever-increasing number of groups has generated significant progress in sample preparation, measurement procedures, data analysis, algorithms and documentation. Several labs that employ smFRET approaches have joined forces to inform the smFRET community about streamlining how to perform experiments and analyze results for obtaining quantitative information on biomolecular structure and dynamics. The recent efforts include blind tests to assess the accuracy and the precision of smFRET experiments among different labs using various procedures. These multi-lab studies have led to the development of smFRET procedures and documentation, which are important when submitting entries into the archiving system for integrative structure models, PDB-Dev. This position paper describes the current 'state of the art' from different perspectives, points to unresolved methodological issues for quantitative structural studies, provides a set of 'soft recommendations' about which an emerging consensus exists, and lists openly available resources for newcomers and seasoned practitioners. To make further progress, we strongly encourage 'open science' practices.

Time-correlated single molecule localization microscopy enhances resolution and fidelity.

Single-molecule-localization-microscopy (SMLM) enables superresolution imaging of biological samples down to ~ 10-20 nm and in single molecule detail. However, common SMLM reconstruction largely disregards information embedded in the entire intensity trajectories of individual emitters. Here, we develop and demonstrate an approach, termed time-correlated-SMLM (tcSMLM), that uses such information for enhancing SMLM reconstruction. Specifically, tcSMLM is shown to increase the spatial resolution and fidelity of SMLM reconstruction of both simulated and experimental data; esp. upon acquisition under stringent conditions of low SNR, high acquisition rate and high density of emitters. We further provide detailed guidelines and optimization procedures for effectively applying tcSMLM to data of choice. Importantly, our approach can be readily added in tandem to multiple SMLM and related superresolution reconstruction algorithms. Thus, we expect that our approach will become an effective and readily accessible tool for enhancing SMLM and superresolution imaging.

Fast and synchronized fluctuations of cortical actin negatively correlate with nucleoli liquid-liquid phase separation in T cells.

Liquid-liquid phase separation is an important mechanism by which eukaryotic cells functionally organize their intracellular content and has been related to cell malignancy and neurodegenerative diseases. These cells also undergo ATP-driven mechanical fluctuations, yet the effect of these fluctuations on the liquid-liquid phase separation remains poorly understood. Here, we employ high-resolution microscopy and atomic force microscopy of live Jurkat T cells to characterize the spectrum of their mechanical fluctuations, and to relate these fluctuations to the extent of nucleoli liquid-liquid phase separation (LLPS). We find distinct fluctuation of the cytoskeleton and of the cell diameter around 110 Hz, which depend on ATP and on myosin activity. Importantly, these fluctuations negatively correlate to nucleoli LLPS. According to a model of cell viscoelasticity, we propose that these fluctuations generate mechanical work that increases intracellular homogeneity by inhibiting LLPS. Thus, active mechanical fluctuations serve as an intracellular regulatory mechanism that could affect multiple pathophysiological conditions.

T Cell Activation through Isolated Tight Contacts.

T cells engage antigen-presenting cells in search for cognate antigens via dynamic cell protrusions before forming a tight immune synapse. The spatiotemporal events that may lead to rapid TCR triggering and signal amplification in microvilli-driven isolated contacts, and in subsequent, more uniform contacts, remain poorly understood. Here, we combined interference-reflectance microscopy and single-molecule localization microscopy in live cells to resolve TCR-dependent signaling at tight cell contacts. We show that early contacts are sufficient for robust TCR triggering and ZAP-70 recruitment. With cell spreading, TCR activation and ZAP-70 recruitment increase and shift to the edges of the growing tight contacts. CD45 segregates from TCR at tight contacts and is enriched at high local curvature membrane. Surprisingly, cortical actin and LFA localized at contact regions of intermediate tightness. Our results show in molecular detail the roles of early and tight T cell contacts in T cell activation, as both sensing and decision-making entities.

Nanoscale Topography-Rigidity Correlation at the Surface of T Cells.

The mechanical properties of cells affect their function, in sensing, development, and motility. However, the rigidity of the cell surface and its correlation to its local topography remain poorly understood. Here, we applied quantitative imaging AFM to capture high-resolution force maps at the surface of nonadherent T cells. Using this method, we found a positive topography-rigidity correlation at the cells' surface, as opposed to a negative correlation at the surface of adherent cells. We then used 3D single-molecule localization microscopy of the membrane and cortical actin and an actin-perturbing drug to implicate actin involvement in the positive rigidity-topography correlation in T cells. Our results clearly reveal the variability of cell-surface rigidity and its underlying mechanism, showing a functional role for cortical actin in the PM protrusions of T cells, since they are locally more rigid than their surroundings. These findings suggest the possible functional role of membrane protrusions as mechanosensors.

InterCells: A Generic Monte-Carlo Simulation of Intercellular Interfaces Captures Nanoscale Patterning at the Immune Synapse.

Molecular interactions across intercellular interfaces serve to convey information between cells and to trigger appropriate cell functions. Examples include cell development and growth in tissues, neuronal and immune synapses (ISs). Here, we introduce an agent-based Monte-Carlo simulation of user-defined cellular interfaces. The simulation allows for membrane molecules, embedded at intercellular contacts, to diffuse and interact, while capturing the topography and energetics of the plasma membranes of the interface. We provide a detailed example related to pattern formation in the early IS. Using simulation predictions and three-color single molecule localization microscopy (SMLM), we detected the intricate mutual patterning of T cell antigen receptors (TCRs), integrins and glycoproteins in early T cell contacts with stimulating coverslips. The simulation further captures the dynamics of the patterning under the experimental conditions and at the IS with antigen presenting cells (APCs). Thus, we provide a generic tool for simulating realistic cell-cell interfaces, which can be used for critical hypothesis testing and experimental design in an iterative manner.

Synergizing superresolution optical fluctuation imaging with single molecule localization microscopy.

Single-molecule-localization-microscopy (SMLM) and superresolution-optical-fluctuation-imaging (SOFI) enable imaging biological samples well beyond the diffraction-limit of light. SOFI imaging is typically faster, yet has lower resolution than SMLM. Since the same (or similar) data format is acquired for both methods, their algorithms could presumably be combined synergistically for reconstruction and improvement of overall imaging performance. For that, we first defined a measure of the acquired-SNR for each method. This measure was ∼x10 to x100 higher for SOFI as compared to SMLM, indicating faster recognition and acquisition of features by SOFI. This measure also allowed fluorophore-specific optimization of SOFI reconstruction over its time-window and time-lag. We show that SOFI-assisted SMLM imaging can improve image reconstruction by rejecting common sources of background (e.g. out-of-focus emission and auto-fluorescence), especially under low signal-to-noise ratio conditions, by efficient optical sectioning and by shortening image reconstruction time. The performance and utility of our approach was evaluated by realistic simulations and by SOFI-assisted SMLM imaging of the plasma membrane of activated fixed and live T-cells (in isolation or in conjugation to antigen presenting cells). Our approach enhances SMLM performance under demanding imaging conditions and could set an example for synergizing additional imaging techniques.

Gp41 dynamically interacts with the TCR in the immune synapse and promotes early T cell activation.

The HIV-1 glycoprotein gp41 critically mediates CD4+ T-cell infection by HIV-1 during viral entry, assembly, and release. Although multiple immune-regulatory activities of gp41 have been reported, the underlying mechanisms of these activities remain poorly understood. Here we employed multi-colour single molecule localization microscopy (SMLM) to resolve interactions of gp41 proteins with cellular proteins at the plasma membrane (PM) of fixed and live CD4+ T-cells with resolution of ~20-30 nm. We observed that gp41 clusters dynamically associated with the T cell antigen receptor (TCR) at the immune synapse upon TCR stimulation. This interaction, confirmed by FRET, depended on the virus clone, was reduced by the gp41 ectodomain in tight contacts, and was completely abrogated by mutation of the gp41 transmembrane domain. Strikingly, gp41 preferentially colocalized with phosphorylated TCRs at the PM of activated T-cells and promoted TCR phosphorylation. Gp41 expression also resulted in enhanced CD69 upregulation, and in massive cell death after 24-48 hrs. Our results shed new light on HIV-1 assembly mechanisms at the PM of host T-cells and its impact on TCR stimulation.

Nanoscale kinetic segregation of TCR and CD45 in engaged microvilli facilitates early T cell activation.

T cells have a central function in mounting immune responses. However, mechanisms of their early activation by cognate antigens remain incompletely understood. Here we use live-cell multi-colour single-molecule localization microscopy to study the dynamic separation between TCRs and CD45 glycoprotein phosphatases in early cell contacts under TCR-activating and non-activating conditions. Using atomic force microscopy, we identify these cell contacts with engaged microvilli and characterize their morphology, rigidity and dynamics. Physical modelling and simulations of the imaged cell interfaces quantitatively capture the TCR-CD45 separation. Surprisingly, TCR phosphorylation negatively correlates with TCR-CD45 separation. These data support a refined kinetic-segregation model. First, kinetic-segregation occurs within seconds from TCR activation in engaged microvilli. Second, TCRs should be segregated, yet not removed too far, from CD45 for their optimal and localized activation within clusters. Our combined imaging and computational approach prove an important tool in the study of dynamic protein organization in cell interfaces.

Elucidating the mechanism of interaction between peptides and inorganic surfaces.

Understanding the mechanism of interaction between peptides and inorganic materials is of high importance for the development of new composite materials. Here, we combined an experimental approach along with molecular simulations in order to gain insights into this binding process. Using single molecule force spectroscopy by atomic force microscopy and molecular simulations we studied the binding of a peptide towards an inorganic substrate. By performing alanine scan we examined the propensity of each amino acid in the peptide sequence to bind the substrate (mica). Our results indicate that this binding is not controlled by the specific sequence of the peptide, but rather by its conformational freedom in solution versus its freedom when it is in proximity to the substrate. When the conformational freedom of the peptide is identical in both environments, the peptide will not adhere to the substrate. However, when the conformational freedom is reduced, i.e., when the peptide is in close proximity to the substrate, binding will occur. These results shed light on the interaction between peptides and inorganic materials.

Mechanisms of localized activation of the T cell antigen receptor inside clusters.

The T cell antigen receptor (TCR) has been shown to cluster both before and upon engagement with cognate antigens. However, the effect of TCR clustering on its activation remains poorly understood. Here, we used two-color photo-activated localization microscopy (PALM) to visualize individual molecules of TCR and ZAP-70, as a marker of TCR activation and phosphorylation, at the plasma membrane of uniformly activated T cells. Imaging and second-order statistics revealed that ZAP-70 recruitment and TCR activation localized inside TCR clusters. Live cell PALM imaging showed that the extent of localized TCR activation decreased, yet remained significant, with cell spreading. Using dynamic modeling and Monte-Carlo simulations we evaluated possible mechanisms of localized TCR activation. Our simulations indicate that localized TCR activation is the result of long-range cooperative interactions between activated TCRs, or localized activation by Lck and Fyn. Our results demonstrate the role of molecular clustering in cell signaling and activation, and are relevant to studying a wide range of multi-molecular complexes. This article is part of a Special Issue entitled: Nanoscale membrane organisation and signalling.

Optimization of liganded polyethylenimine polyethylene glycol vector for nucleic acid delivery.

The delivery of nucleic acids into cells is an attractive approach for cancer therapy. Polyethylenimine (PEI) is among the most efficient nonviral carriers. Recent studies have demonstrated that PEI can be conjugated to targeting ligands, such as epidermal growth factor (EGF) and transferrin (Schaffert et al., 2011; Abourbeh et al., 2012; Ogris et al., 1999). Herein we present a simplified protocol for producing homogeneous preparations of PEGylated linear PEI: LPEI-PEG2k. We generated two well-characterized copolymers, with ratios of LPEI to PEG of 1:1 and 1:3. These copolymers were further conjugated through disulfide bonds to a Her-2 targeting moiety, Her-2 affibody. This reaction yielded two triconjugates that target Her-2 overexpressing tumors. Polyplexes were formed by complexing plasmid DNA with the triconjugates. We characterized the biophysical properties of the conjugates, and found that the triconjugate 1:3 polyplex had lower ζ potential, larger particle size, and more heterogeneous shape than the triconjugate 1:1 polyplex. Triconjugate 1:1 and triconjugate 1:3 polyplexes were highly selective toward cells that overexpress Her-2 receptors, but triconjugate 1:1 polyplex was more efficient at gene delivery. Our studies show that the biophysical and biological properties of the conjugates can be profoundly affected by the ratio of LPEI:PEG2k:ligand. The procedure described here can be adapted to generate a variety of triconjugates, simply by changing the targeting moiety.

Self-assembly of azide containing dipeptides.

Functional structures and materials are formed spontaneously in nature through the process of self-assembly. Mimicking this process in vitro will lead to the formation of new substances that would impact many areas including energy production and storage, biomaterials and implants, and drug delivery. The considerable structural diversity of peptides makes them appealing building blocks for self-assembly in vitro. This paper describes the self-assembly of three aromatic dipeptides containing an azide moiety: H-Phe(4-azido)-Phe(4-azido)-OH, H-Phe(4-azido)-Phe-OH, and H-Phe-Phe(4-azido)-OH. The peptide H-Phe(4-azido)-Phe(4-azido)-OH self-assembled into porous spherical structures, whereas the peptides H-Phe(4-azido)-Phe-OH and H-Phe-Phe(4-azido)-OH did not form any ordered structures under the examined experimental conditions. The azido group of the peptide can serve as a photo cross-linking agent upon irradiation with UV light. To examine the effect of this group and its activity on the self-assembled structures, we irradiated the assemblies in solution for different time periods. Using electron microscopy, we determined that the porous spherical assemblies formed by the peptide H-Phe(4-azido)-Phe(4-azido)-OH underwent a structural change upon irradiation. In addition, using FT-IR, we detected the chemical change of the peptide azido group. Moreover, using indentation experiments with atomic force microscopy, we showed that the Young's modulus of the spherical assemblies increased after 20 min of irradiation with UV light. Overall, irradiating the solution of the peptide assemblies containing the azido group resulted in a change both in the morphology and mechanical properties of the peptide-based structures. These ordered assemblies or their peptide monomer building blocks can potentially be incorporated into other peptide assemblies to generate stiffer and more stable materials.

Probing the interaction of individual amino acids with inorganic surfaces using atomic force spectroscopy.

This article describes single-molecule force spectroscopy measurements of the interaction between individual amino acid residues and inorganic surfaces in an aqueous solution. In each measurement, there is an amino acid residue, lysine, glutamate, phenylalanine, leucine, or glutamine, and each represents a class of amino acids (positively or negatively charged, aromatic, nonpolar, and polar). Force-distance curves measured the interaction of the individual amino acid bound to a silicon atomic force microscope (AFM) tip with a silcon substrate, cut from a single-crystal wafer, or mica. Using this method, we were able to measure low adhesion forces (below 300 pN) and could clearly determine the strength of interactions between the individual amino acid residues and the inorganic substrate. In addition, we observed how changes in the pH and ionic strength of the solution affected the adsorption of the residues to the substrates. Our results pinpoint the important role of hydrophobic interactions among the amino acids and the substrate, where hydrophobic phenylalanine exhibited the strongest adhesion to a silicon substrate. Additionally, electrostatic interactions also contributed to the adsorption of amino acid residues to inorganic substrates. A change in the pH or ionic strength values of the buffer altered the strength of interactions among the amino acids and the substrate. We concluded that the interplay between the hydrophobic forces and electrostatic interactions will determine the strength of adsorption among the amino acids and the surface. Overall, these results contribute to our understanding of the interaction at the organic-inorganic interface. These results may have implications for our perception of the specificity of peptide binding to inorganic surfaces. Consequently, it would possibly lead to a better design of composite materials and devices.

Coassembly of aromatic dipeptides into biomolecular necklaces.

This paper describes the formation of complex peptide-based structures by the coassembly of two simple peptides, the diphenylalanine peptide and its tert-butyl dicarbonate (Boc) protected analogue. Each of these peptides can self-assemble into a distinct architecture: the diphenylalanine peptide into tubular structures and its analogue into spheres. Integrated together, these peptides coassemble into a construction of beaded strings, where spherical assemblies are connected by elongated elements. Electron and scanning force microscopy demonstrated the morphology of these structures, which we termed "biomolecular necklaces". Additional experiments indicated the reversibility of the coassembly process and the stability of the structures. Furthermore, we suggest a possible mechanism of formation for the biomolecular necklaces. Our suggestion is based on the necklace model for polyelectrolyte chains, which proposes that a necklace structure appears as a result of counterion condensation on the backbone of a polyelectrolyte. Overall, the approach of coassembly, demonstrated using aromatic peptides, can be adapted to any peptides and may lead to the development and discovery of new self-assembled architectures formed by peptides and other biomolecules.