Yuanqing Ma

Functional role of T-cell receptor nanoclusters in signal initiation and antigen discrimination

Significance T-cell activation requires the translation of antigen binding to the T-cell receptor (TCR) into intracellular signaling. However, how antigen recognition and signal transduction are mechanistically linked is poorly understood. Here, we used single-molecule localization microscopy to link TCR clustering to signaling. We found that the likelihood of a single receptor to initiate signaling upon ligand binding depended on receptor-to-receptor spacing, with TCRs in dense clusters having the highest signaling efficiency. This means that antigen recognition must first be translated into a spatial reorganization of receptors into dense, signaling-competent clusters before signaling can begin. Thus, the quality of an antigen in terms of signaling is given by its ability to densely cluster receptors. Antigen recognition by the T-cell receptor (TCR) is a hallmark of the adaptive immune system. When the TCR engages a peptide bound to the restricting major histocompatibility complex molecule (pMHC), it transmits a signal via the associated CD3 complex. How the extracellular antigen recognition event leads to intracellular phosphorylation remains unclear. Here, we used single-molecule localization microscopy to quantify the organization of TCR–CD3 complexes into nanoscale clusters and to distinguish between triggered and nontriggered TCR–CD3 complexes. We found that only TCR–CD3 complexes in dense clusters were phosphorylated and associated with downstream signaling proteins, demonstrating that the molecular density within clusters dictates signal initiation. Moreover, both pMHC dose and TCR–pMHC affinity determined the density of TCR–CD3 clusters, which scaled with overall phosphorylation levels. Thus, TCR–CD3 clustering translates antigen recognition by the TCR into signal initiation by the CD3 complex, and the formation of dense signaling-competent clusters is a process of antigen discrimination.

The organisation of the cell membrane: do proteins rule lipids?

Cell membranes are a complex adaptive system: they are constantly re-organised in response to extra- and intracellular inputs and their local and global structure ultimately determines how, where and when these inputs are processed. This requires a tight coupling of signalling and membranes in localised and specialised compartments. While lipids are essential components of cell membranes, they mostly lack a direct link to the input signals. Here we review how proteins can deform locally membranes, modify and reorganise lipids to form membrane domains and regulate properties like membrane charges and diffusion. From this point-of-view, it appears that proteins play a central role in regulating membrane organisation.

Nanodomains in biological membranes

Lipid rafts are defined as cholesterol- and sphingomyelin-enriched membrane domains in the plasma membrane of cells that are highly dynamic and cannot be resolved with conventional light microscopy. Membrane proteins that are embedded in the phospholipid matrix can be grouped into raft and non-raft proteins based on their association with detergent-resistant membranes in biochemical assays. Selective lipid-protein interactions not only produce heterogeneity in the membrane, but also cause the spatial compartmentalization of membrane reactions. It has been proposed that lipid rafts function as platforms during cell signalling transduction processes such as T-cell activation (see Chapter 13 (pages 165-175)). It has been proposed that raft association co-localizes specific signalling proteins that may yield the formation of the observed signalling microclusters at the immunological synapses. However, because of the nanometre size and high dynamics of lipid rafts, direct observations have been technically challenging, leading to an ongoing discussion of the lipid raft model and its alternatives. Recent developments in fluorescence imaging techniques have provided new opportunities to investigate the organization of cell membranes with unprecedented spatial resolution. In this chapter, we describe the concept of the lipid raft and alternative models and how new imaging technologies have advanced these concepts.

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.

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.

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.

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

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

Introducing Membrane Charge and Membrane Potential to T Cell Signaling

While membrane models now include the heterogeneous distribution of lipids, the impact of membrane charges on regulating the association of proteins with the plasma membrane is often overlooked. Charged lipids are asymmetrically distributed between the two leaflets of the plasma membrane, resulting in the inner leaflet being negatively charged and a surface potential that attracts and binds positively charged ions, proteins, and peptide motifs. These interactions not only create a transmembrane potential but they can also facilitate the formation of charged membrane domains. Here, we reference fields outside of immunology in which consequences of membrane charge are better characterized to highlight important mechanisms. We then focus on T cell receptor (TCR) signaling, reviewing the evidence that membrane charges and membrane-associated calcium regulate phosphorylation of the TCR–CD3 complex and discuss how the immunological synapse exhibits distinct patterns of membrane charge distribution. We propose that charged lipids, ions in solution, and transient protein interactions form a dynamic equilibrium during T cell activation.

Ultralow- and Low-Background Surfaces for Single-Molecule Localization Microscopy of Multistep Biointerfaces for Single-Molecule Sensing

Single-molecule localization microscopy (SMLM) has created the opportunity of pushing fluorescence microscopy from being a biological imaging tool to a surface characterization and possibly even a quantitative analytical tool. The latter could be achieved by molecular counting using pointillist SMLM data sets. However, SMLM is especially sensitive to background fluorescent signals, which influences any subsequent analysis. Therefore, fabricating sensing surfaces that resist nonspecific adsorption of proteins, even after multiple modification steps, has become paramount. Herein is reported two different ways to modify surfaces: dichlorodimethylsilane-biotinylated bovine serum albumin-Tween-20 (DbT20) and poly-l-lysine grafted polyethylene glycol (PLL-PEG) mixed with biotinylated PLL-PEG (PLL-PEG/PEGbiotin). The results show that the ability to resist nonspecific adsorption of DbT20 surfaces deteriorates with an increase in the number of modification steps required after the addition of the DbT20, which limits the applicability of this surface for SMLM. As such, a new surface for SMLM that employs PLL-PEG/PEGbiotin was developed that exhibits ultralow amounts of nonspecific protein adsorption even after many modification steps. The utility of the surface was demonstrated for human influenza hemagglutinin-tagged mEos2, which was directly pulled down from cell lysates onto the PLL-PEG/PEGbiotin surface. The results strongly indicated that the PLL-PEG/PEGbiotin surface satisfies the criteria of SMLM imaging of a negligible background signal and negligible nonspecific adsorption.