Abstract
Synapse structures, including neuronal and immunological synapses, can be seen as the plasma membrane contact sites between two individual cells where information is transmitted from one cell to the other. The distance between the two plasma membranes is only a few tens of nanometers, but these areas are densely populated with functionally different proteins, including adhesion proteins, receptors, and transporters. The narrow space between the two plasma membranes has been a barrier for resolving the synaptic architecture due to the diffraction limit in conventional microscopy (~250 nm). Various advanced super-resolution microscopy techniques, such as stimulated emission depletion (STED), structured illumination microscopy (SIM), and single-molecule localization microscopy (SMLM), bypass the diffraction limit and provide a sub-diffraction-limit resolving power, ranging from 10 to 100 nm. The studies using super-resolution microscopy have revealed unprecedented details of the nanoscopic organization and dynamics of synaptic molecules. In general, most synaptic proteins appear to be heterogeneously distributed and form nanodomains at the membranes. These nanodomains are dynamic functional units, playing important roles in mediating signal transmission through synapses. Herein, we discuss our current knowledge on the super-resolution nanoscopic architecture of synapses and their functional implications, with a particular focus on the neuronal synapses and immune synapses.
Keywords: central synapses, neuromuscular junctions, immune synapses, nanodomains, super-resolution microscopy, STED, SIM, SMLM
1. Introduction
The term “synapse” means “conjunction” and first appeared in 1897 in a textbook to describe the hypothesized connections between neurons in the nervous system [1], and which are nowadays known as central synapses. The actual existence of synapses in the central nervous system and their fine structural features were later characterized in detail with electron microscopy (EM) [2,3]. The concept of the neuronal synapse was further extended to include the communication from a neuron to another cell type, such as muscle cells [4]. These motor neuron-to-muscle cell synapses are also called neuromuscular junctions (NMJs). Furthermore, lymphocytes (including T and B cells and natural killer cells in the immune system) form cell-to-cell contacts with antigen-presenting cells (APCs) that resemble the neuronal synapses with respect to overall morphology, thus termed immunological synapses or immune synapses (IS) [5,6,7]. Bearing a similar name, “synapse”, these different types of synapses share similar characteristics in their structural organization. In general, they are cellular adhesions of stable plasma membrane segments of individual cells, mediating directed signal transmission [8,9]. Herein, generally, three compartments are distinguished: pre-synaptic compartment, synaptic cleft, and post-synaptic compartment.
The synaptic cleft is the space between the two plasma membranes (Figure 1). For central synapses, the cleft measures on average 20–30 nm along the perpendicular axis by EM [2,3]. The clefts of NMJs are roughly 30–50 nm [10], whereas the immune synapses are about 10–30 nm [11,12]. Though with variations, the synaptic clefts of different synapse types bear in common their similarly narrow spaces. On the other hand, the lateral dimensions of neuronal and immunological synapses differ largely (Figure 1). Central synapses are generally below 1 µm [13,14]. At NMJs, the motor nerve terminals form numerous varicosities (also called “boutons”, are generally 1–5 µm wide), and in total, can span 10–60 µm laterally [15,16]. The immunological synapses can also extend to several micrometers (5–10 µm) in diameter [17].
In addition to structural similarities, different types of synapses also share evolutionarily similar proteomes, such as cell adhesion molecules like cadherins and soluble N-ethylmaleimide sensitive-factor attachment protein receptors (SNAREs) that mediate vesicle fusion [21,22,23]. Given these structural and proteomic similarities, we consider that it can be insightful to discuss the nanoscale architecture of neuronal synapses and immunological synapses in the same context, particularly of super-resolution fluorescence microscopy (SRFM). Even though EM offers superior resolving power and has provided enormous advances in studying biological structures, it is limited by the substantial sample preparation procedure, the extreme imaging conditions, and the limited protein specificity with immuno-gold labeling. On the other hand, SRFM offers high throughput and compatibility for live-cell imaging, resulting in a wealth of new discoveries in the cellular ultrastructure as well as dynamics [24,25,26].
In conventional fluorescence microscopy, the resolution is limited by the diffraction and defined as 0.61 λ/NA according to the Rayleigh criterium, where λ is the wavelength and NA is the numeric aperture of the objective. This renders a resolution of approximately 250 nm, which often fails to resolve subcellular structures in detail. Several super-resolution techniques overcome this diffraction limit by different methodologies and achieve a much-enhanced resolution. Structured illumination microscopy (SIM) uses a series of spatially structured excitation light patterns to achieve a two-fold enhanced resolution [27]. Stimulated emission depletion (STED) microscopy reduces the focal spot by stimulated depletion at the rim, thus achieving a five-fold improvement of resolution [28,29]. Single-molecule localization microscopy (SMLM) comprises of several techniques, including stochastic optical reconstruction microscopy (STORM) [30], direct STORM (dSTORM) [31], photo-activated localization microscopy (PALM) [32,33], and points accumulation for imaging in nanoscale topography (PAINT) [34]. Though these SMLM techniques manipulate the fluorescent probes differently, they all enable the detection of single fluorophores and achieve resolution at a single molecule level of 10–40 nm [35].
In this review, we focus on the nanoscale structures of the central synapses in the nervous system, the NMJs between motor neurons and muscle cells, and the immune synapses. Previous studies on these synapses with confocal microscopy and EM, including freeze-fracture, have also provided enormous information on their (ultra) structures [36,37,38]. Here we discuss the recent discoveries in the ultrastructure of these synapses as analyzed in particular through the more recently developed SRFM technologies. By illustrating the similarities in the nanoscale organization of these different types of synapses, we argue that a common structural basis of synapses may exist for cell-to-cell communication and that researchers can find inspirations by comparing these different types of synapses.
2. The Neuronal Synapse
Neuronal synapses are the conjunctions between a neuron and another cell (either a neuron or another cell type, such as a muscle cell). Here, we particularly discuss the central synapses, which are formed between two neurons in the central nervous system (Figure 1D), and the NMJs, which are formed between motor neurons and muscle cells (Figure 1E).
2.1. Central Synapses
2.1.1. Laminar Organization at Post-Synaptic Density
Central synapses appear as small puncta in conventional fluorescence microscopy due to their small size. EM of immuno-gold labeled proteins has shown that specific proteins at the post-synaptic density (PSD) are arranged in different layers along the perpendicular axis of the synapse, with PSD-95 closer to the plasma membrane (~12 nm) and other proteins such as Shank and CaMKII closer to the cytoplasmic side (~24–26 nm) [39,40,41]. Proteins closer to the plasma membrane (such as PSD-95) have lower recovery rates/dynamics compared to those located more to the cytoplasmic side (such as Shank), as revealed by fluorescence recovery after photobleaching (FRAP) experiments [42]. With multi-color 3D STORM, Dani and colleagues have recapitulated this laminar organization at the PSD, with a much higher throughput of synapses and synaptic proteins [43]. This laminar organization and the dynamics of PSD proteins demonstrate the functional importance of the spatial distribution of synaptic proteins.
2.1.2. Sub-Synaptic Domains (SSDs) in the Post-Synaptic Density
It was previously believed that PSD scaffolding proteins were evenly distributed in the lateral planes of the PSDs, based on EM observations [39,40,44,45]. However, and thanks to SRFM techniques, it is now realized that many synaptic proteins are distributed heterogeneously and form nanodomains within the synapses, termed sub-synaptic domains (SSD) [14]. SSD can be defined as a sub-compartment of a synapse in which the density of a specific synaptic protein is higher than in the surrounding area and which is typically observed in super-resolution microscopy [14]. Therefore, synaptic proteins forming SSDs indicate, in essence, their heterogeneous spatial distribution within the synapse. It is important to keep in mind that large populations of proteins reside in non-SSD areas, and all of them go through dynamic changes. PALM imaging revealed that the major post-synaptic scaffold proteins at excitatory synapses (including PSD-95) and inhibitory synapses (including gephyrin) formed distinct SSDs [46,47,48]. The size of PSD-95 SSDs are ~80 nm in diameter [46]. This SSD organization of PSD-95 was also observed by STED microscopy of synapses in vitro [49,50] and in vivo [51,52,53]. The scaffold protein at inhibitory synapses, gephyrin, was also shown to form SSDs in studies with STORM, PALM, SIM, and STED microscopy [18,48,49,54]. Notably, these scaffold protein SSDs go through dynamic morphological changes both spontaneously and in response to activity changes. Time-lapse PALM imaging of PSD-95 revealed a continuous variation in the distribution of PSD-95 SSDs, and the number of PSD-95 SSDs per synapse was reduced by tetrodotoxin (TTX) treatment in primary hippocampal neurons [46]. Enlarged spine size resulting from chemically induced long-term potentiation (cLTP) was shown to associate with an increased number of PSD-95 SSDs in vitro by STED microscopy, and this increase occurred within hours in the time-lapse STED imaging [50]. Likewise, in vivo STED microscopy has shown the sub-structure and morphological changes in PSD-95 puncta within hours [53]. Therefore, these protein SSDs should be viewed as dynamically changing structures rather than rigid units.
At the post-synaptic plasma membrane, neurotransmitter receptors have also been shown to be organized into SSDs by SRFM. PALM imaging has provided evidence that the excitatory α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors (AMPARs) are organized into SSDs of ~70 nm in diameter [55]. These AMPAR SSDs are as well dynamically changing in their composition, shape, and position and are regulated by PSD-95 expression levels [55]. 3D-SIM imaging of γ-aminobutyric acid type A receptors (GABAARs) at inhibitory synapses in the hippocampal and cortical neurons [54] and Dual-color dSTORM imaging of both the GABAARs and glycine receptors (GlyRs) in the spinal cord neurons [18] showed that these receptors are also organized into SSDs at inhibitory PSDs. Notably, the sub-domains of GlyRs were also observed in EM graphs [56].
Furthermore, synapses often accommodate different types of receptors at the same PSDs. In the neocortex and hippocampus, the ionotropic AMPARs and N-methyl-D-aspartate receptors (NMDARs) and the metabotropic glutamate receptor 5 (mGluR5) co-exist at excitatory synapses. A recent study using dSTORM showed that NMDARs formed a singular SSD mainly at the center of the PSD, whereas AMPARs segregated into several SSDs surrounding the NMDARs [57]. The differential distribution of these receptors detected by dSTORM is in line with the former observations using EM [58,59,60,61] and is consistent with the notion that NMDARs are less mobile than AMPARs at mature synapses [62,63]. On the other hand, mGluR5s are homogeneously distributed and broadly dispersed at the synaptic surface [57]. Similarly, mGluR4s at the parallel fiber active zones in the mouse cerebellum exist mostly as monomers or dimers [64]. As to the mixed inhibitory synapses, GlyRs and GABAARs are located at the same PSDs in spinal cord neurons [65,66]. Here they form distinct SSDs which are only partially overlapping, as shown by dual-color dSTORM [18]. These distinct SSD formations of GlyRs and GABAARs imply different underlying pathways for regulating glycinergic and GABAergic neurotransmission. The glycinergic and GABAergic co-transmission in spinal cord neurons is particular, given that GlyRs and GABAARs are activated by different neurotransmitters (glycine and GABA, respectively) released from the same pre-synaptic vesicles [67,68], whereas NMDARs, AMPARs, and mGluRs are activated by the same neurotransmitters (glutamate). However, the physiological consequences of this differential spatial organization and neurotransmitter activation of GlyRs and GABAARs at inhibitory synapses remain to be determined. Thus far, modeling data on excitatory synapses suggest that the distance between receptor SSDs to pre-synaptic vesicle release sites defines the number of activated receptors and shapes the neurotransmission response [46,57]. Given that GlyR- and GABAAR-mediated post-synaptic currents are kinetically different, their differential spatial organization at mixed inhibitory synapses may function alike at excitatory synapses to tune inhibitory neurotransmission. In addition, the heterogeneous content of glycine and GABA in pre-synaptic vesicles [68] may be another player to regulate inhibitory neurotransmission.
2.1.3. Sub-Synaptic Domains (SSDs) at the Pre-Synaptic Compartment
The studies on the pre-synaptic compartment have mainly focused on the machinery responsible for neurotransmitter release from synaptic vesicles, including the cytomatrix active zone (CAZ) proteins, SNARE complexes, and voltage-gated calcium channels (VGCCs) [69,70]. SRFM data of pre-synaptic compartments, though relatively limited, have revealed the nanodomains/SSDs of these pre-synaptic proteins, as well as the dynamics of synaptic vesicles during the endo/exocytosis [71]. With single-particle tracking PALM (sptPALM), it has been shown in vivo that syntaxin1A (one of the glutamine- or Q-SNARE proteins located on the plasma membrane) is organized into nanoclusters/SSDs, of which the size and molecular density is regulated by activity and the general anesthetic propofol [72,73]. Similarly, VGCCs are also mobile yet dynamically confined into nanoclusters/SSDs, which are regulated by network activity in synaptic plasticity [74,75]. This SSD organization of the Cav2.1 calcium channel was also observed in SDS-digested freeze-fracture replica labeling EM [76]. In addition, numerous CAZ proteins were shown to form SSDs by 3D STORM analysis, including Bassoon, Rab3-interacting molecule (RIM), and Munc13 [77]. Dual-color STORM also highlighted that the nanoclustering of CAZ proteins (Bassoon and RIM) was bidirectionally regulated by neuronal activity [78]. Herein, long-term blockade of activity by TTX induced reversible CAZ proteins un-clustering and local VGCC recruiting, suggesting a homeostatic regulation by the clustering status of CAZ proteins [78]. Another STED study of the pre-synaptic vesicle-associated protein synaptotagmin I revealed that it remained clustered at the plasma membrane after vesicle exocytosis, suggesting that they might be recycled together [79].
2.1.4. Trans-Synaptic Nanocolumns
From another perspective, it is of great interest to know whether the synaptic vesicle release sites are aligned with the post-synaptic receptor SSDs, because their spatial relationship may shape the neurotransmission efficacy [80]. To resolve the myth, Tang and co-workers were first to identify that RIM SSDs predict the vesicle release site distribution and further demonstrated that post-synaptic AMPAR SSDs and scaffold protein (such as PSD-95 and Homer) SSDs are aligned with the pre-synaptic RIM SSDs [77]. Thus, they hypothesized the formation of trans-synaptic nanocolumns which guide the neurotransmitter release to occur near the receptors [77,81]. This trans-synaptic alignment was also observed in vitro and in vivo by STED microscopy [50]. Remarkably, the number of the nanocolumns scaled positively with the enlarged spines induced by cLTP, and these nanocolumns remained aligned though with enhanced mobility induced by cLTP [50]. Similarly, 3D SIM of inhibitory synapses in hippocampal and cortical neurons revealed that post-synaptic gephyrin SSDs and GABAAR SSDs are aligned with pre-synaptic vesicular GABA transporter (VGAT) and RIM SSDs, also forming nanocolumns at inhibitory synapses [54]. At mixed inhibitory synapses in spinal cord neurons, the distinct GlyR and GABAAR SSDs are as well integrated into nanocolumns consisting of gephyrin and RIM SSDs as revealed by dual-color STORM [18]. These trans-synaptic nanocolumns may therefore provide a novel genuine mechanism for regulating synaptic transmission and plasticity [81,82,83].
Given that synapses are dynamic rather than static structures [84], the next question is how are the pre-synaptic and post-synaptic SSDs aligned together and maintained through synaptic changes? EM data have shown the existence of discrete trans-cleft proteinaceous filaments [85,86,87], pointing to the synaptic adhesion molecules as a potential organizer for trans-synaptic nanocolumns. Neurexin and neuroligin complexes are potential candidates due to their important roles in synaptic functions [88,89]. Indeed, neuroligin-1 was shown to be tightly associated with AMPAR SSDs, and truncated neuroligin-1 shifted the alignment between RIM and AMPAR SSDs, impairing synaptic transmission [90]. However, combing several SRFM techniques (STED, STORM, and universal PAINT or uPAINT), Chamma and co-workers demonstrated that neuroligin-1 had a disperse distribution whereas leucine-rich repeat (LRR) transmembrane protein 2 (LRRTM2) was organized into SSDs at the post-synaptic membranes [91]. On the other hand, the pre-synaptic neurexin-1 displayed a dual-pattern distribution [92]. Given that both LRRTM2 and neuroligin-1 are binding partners for neurexin-1, the interaction between neurexin-1 and LRRTM2 has been proposed to potentially function as the nanocolumn organizer. Further evidence with STORM indicated that neurexin-1 was organized into nanoclusters at excitatory synapses that were dynamically regulated via ectodomain cleavage through a disintegrin and metalloproteinase domain-containing protein 10 (ADAM10) [93], supporting the notion of neurexin as a functional organizer for trans-synaptic nanocolumns. Alternatively, synapses may incorporate different adhesion molecules to account for the widely various synaptic changes. Ephrin receptors and their corresponding ephrin ligands are both membrane-bound proteins that have important functions in synapse formation, among many other cellular processes [94]. Given that Ephrin type-B receptor 2 (EphB2) was observed at synapses and formed nanodomains within the PSD area by STED microscopy [95], EphB2 and ephrin interaction may be the next candidate as nanocolumn organizers. Further investigation of EphB2 and ephrin distribution at synapses by dual-color SRFM, together with functional studies such as the effect of knock-out or overexpressing EphB2 on synaptic structures, may provide more insights into their potentiality as nanocolumn organizers. Identifying the trans-synaptic organizers will be key to understanding the dynamic changes of these synaptic ultrastructures. Herein, more recently developed proximity labeling techniques, including APEX2 and TurboID [96,97,98,99] followed by mass spectrometry analysis, could be instrumental in identifying such synapse-specific organizers.
2.2. Neuromuscular Junctions (NMJs)
NMJs feature the numerous varicosities at the motor neuron terminus, or boutons, which accommodate several active zones at each bouton, and the folding of muscle cell plasma membranes which are called junctional folds [100,101]. The pre-synaptic active zones in EM graphs appear as T-bars in Drosophila NMJs or as small aggregates in vertebrate NMJs (Figure 1E). Given their relatively large size, NMJs (especially of Drosophila) have been the model synapses for understanding the pre-synaptic vesicle release mechanisms during neurotransmission. The Drosophila NMJs have been subjects of several SRFM based studies, providing protein identities in addition to the ultrastructure of NMJs with novel functions allocated to these proteins. Excellent recent reviews have been published elsewhere on the ultrastructure of NMJs [71,102,103], and here, we summarize the most important aspects. Briefly, most of these studies have focused only on the pre-synaptic compartment of NMJs, revealing the nanodomain distribution pattern of proteins responsible for synaptic vesicle release. In Drosophila NMJs, the coiled-coil domain protein Bruchpilot has been observed in donut-shaped structures centered at the active zone by STED microscopy [104]. Further dSTORM analysis revealed substructural units of the active zone containing an average of 137 ± 29 Bruchpilot proteins [105]. Each active zone could contain different numbers of these units, which were linked to the active zone physiological states and neurotransmitter release [105]. STED microscopy also revealed the distinct sub-active zone patterning of the two isoforms of Unc13A and Unc13B, with the former located at 70 nm away from the active zone center marked by Bruchpilot signal and the latter 120 nm away [106]. The same group further analyzed that Unc13A was positioned by Bruchpilot and RIM-binding proteins (RBPs) and that its precise positioning and local levels affect the release site number, position as well as functionality [106,107]. Based on these observations, a model of molecular nanostructure coupling for synaptic vesicle release has been proposed where scaffold proteins establish nanodomains that connect VGCCs to synaptic vesicles, thus influencing the probability of synaptic vesicle release [108]. This nanodomain patterning of synaptic proteins in NMJs is reminiscent of the SSDs in central synapses. During long-term synaptic potentiation of NMJs, it was shown by STED microscopy that the number of nanodomains or the quantity of proteins in each nanodomain was increased [109], supporting a quantal addition model for regulating synaptic strength and plasticity. This quantal addition model has also been proposed for the central synapses [81,82].
At vertebrate NMJs, dual-color STED microscopy revealed that the pre-synaptic Bassoon and Piccolo nanodomains are organized into Piccolo-Bassoon-Piccolo sandwich-like structures and that VGCC nanodomains colocalize with Bassoon nanodomains [110]. The same study also uncovered that Bassoon and VGCC protein levels were significantly decreased during aging, while Piccolo protein levels remained relatively stable. Therefore, selective degeneration of specific active zone proteins has been proposed as an aging process [110,111]. While most studies focused on the pre-synaptic nerve terminus of NMJs, York and Zheng examined the post-synaptic compartments of muscle cells adopting both SIM and STORM [19]. Their study revealed that the acetylcholine receptors (AChRs) were not uniformly distributed on the crest of junctional folds as previously thought. Instead, AChRs were concentrated at the edge of the crest, segregated from the integrin clusters that are more located towards the center of the crest [19]. It has been known for a long time that the pre-synaptic active zones of NMJs are aligned to the opening of the junctional folds [100]. This new finding with SRFM, therefore, suggests that the trans-synaptic alignment of AChRs to the active zones potentially enables effective synaptic transmission. Laminin in the basal lamina of NMJs may be the key player for the trans-synaptic alignment at NMJs, given that loss of laminin resulted in misalignment of active zones with junctional folds [112,113]. Taking together with the trans-synaptic nanocolumn in central synapses, the nano-alignment of post-synaptic receptors to pre-synaptic vesicle release sites may constitute a common mechanism underlying synaptic neurotransmission.
3. Immune Synapses
Immune synapses are formed during T cell activation when T cell receptors (TCRs) engage with the antigen-presenting major histocompatibility complex (MHC) on the antigen-presenting cells (APCs). T cell activation is a dynamic process involving the recruitment of TCR microclusters into the center of the immune synapse, forming a mature immune synapse with a “bull’s eye” structure [114,115,116]. Specific molecules at mature immune synapses segregate into supramolecular activation clusters (SMACs). Laterally from inner to outer direction, immune synapses can be divided into three major domains, i.e., the central SMAC (cSMAC) enriched in TCRs, a peripheral SMAC (pSMAC) enriched in adhesion molecules such as lymphocyte function-associated antigen (LFA), and, finally, the distal SMAC (dSMAC) with F-actin forming dynamic protrusions [117,118]. This main architecture of immune synapses has already been drawn up by conventional microscopy thanks to their large size (5–10 µm). Interestingly, the segregation within the immune synapses, though on a much larger scale, is reminiscent of the segregation of AMPARs and NMDARs at small excitatory synapses in the central nervous system (see above).
The advent of SRFM offered a new opportunity to uncover the mechanisms underlying T cell activation. One of the hypotheses to be tested was that TCRs are organized into nanoclusters at the T cell resting state [119,120,121,122]. Evidence from PALM and STORM imaging pointed to the nanoclustering of TCRs and downstream signaling molecules at resting T cells [123,124,125]. However, other studies using different single-molecule-based fluorescent microscopy to analyze TCRs on live T cells suggested monomeric TCRs at resting T cells [126,127]. Discrepancies have also been observed on the adaptor linker for activation of T cells (LAT). One study using PALM and dSTORM showed that LATs on plasma membrane were neither phosphorylated nor recruited to TCR activation sites; instead, LATs were recruited through subsynaptic vesicles [128]. Another study using confocal imaging and tracking of LATs revealed that cell surface LATs were efficiently recruited within seconds of TCR engagement [129]. These discrepancies can at least be partially explained by the limitations inherent to SMLM [130] and the different sample preparation methods [131].
3D-SIM and STED microscopy have enabled the study of the dynamics and ultrastructure of the cytoskeletal actin at the immune synapse [20,132,133,134,135]. The actin skeleton is divided into four discrete actin networks, i.e., the lamellopodia-like branched actin in the dSMAC, the lamella-like actomyosin arcs in the pSMAC, the hypodense F-actin in the cSMAC, and the actin foci in the dSMAC and pSMAC [136,137]. These discrete actin networks create distinct functional regions at the immune synapse. To be noted, the actin cytoskeleton also plays important roles in the central synapses [138,139], which highlights the universal roles of actin networks. Furthermore, and combining SMLM and total internal reflection fluorescent (TIRF) microscopy, it has been shown that TCRs are mainly localized to the T cell microvilli and barely on the cell body [140]. This peculiar localization of TCRs at the microvilli may explain the discrepancies in the studies analyzing TCR nanoclusters. A modeling study further suggests that ligand discrimination by TCRs is likely based on these microvilli [141]. In addition, a recent study using STORM has identified TWIK-related acid-sensitive potassium channel 2 (TASK2) as a novel player at human immune synapses [142]. These new findings open new directions for investigating the mechanisms underlying T cell activation [143,144].
To be noted, SRFM has also been widely applied to other cell communication structures, namely epithelial cell junctions such as tight junctions, gap junctions, adherens junctions, desmosomes, and hemidesmosomes [145,146,147]. The superior resolution of SFRM techniques has enabled the detection of nanoclusters and subdomains of junction proteins, which could not be revealed with confocal microscopy. For example, a recent study using STED microscopy revealed nanoscopic segregation of polarity proteins in tight junctions, with PALS1-PATJ and aPKC-PAR6β present in an alternated pattern [148]. In the nervous system, electrical synapses (also called gap junctions) are also subject to SRFM. Two-color dSTORM of connexin 43 and aquaporin 4 in cryo-sectioned rat brain tissues has shown that aquaporin 4 is positioned at the edge of connexin 43 plaques [149]. Though not the focus of this review, these studies reinforce the promising power of SRFM in investigating the nano-architecture for cell communication.
4. Perspectives
SRFM techniques have narrowed down the resolution gap between light microscopy and EM. They have facilitated breakthroughs in molecular cell biology, and life sciences aimed to decipher subcellular and molecular organization at nanoscale resolution. The promising capacity of SRFM manifests in data throughput, target specificity, superior resolution, and especially live-cell imaging compatibility, which enables the visualization of dynamic cellular processes. And all that has happened in only a decade of years. Emerging correlative approaches of SRFM with (cryo-)EM further combine their respective advantages, up to enabling the 3D analysis of nanoclusters/structures in situ [150,151,152]. In addition, other combined SRFM modalities, such as lattice light-sheet microscopy combined with SMLM [153] and various 3D super-resolution microscopy techniques [154,155], will also enhance the study of native nanoscopic structures. Due to their complexity in set-ups and usage, these advanced microscopy modalities currently mainly exist in some expert groups and institutional imaging cores. With more and more accessibility promoted by commercialization, these techniques are envisioned to be widely used and yielding novel discoveries. Another future perspective is to identify the molecular components within the nanoclusters/nanodomains. STORM has been used to identify the neurexin nanoclusters containing different neurexin isoforms in neurons [93]. SMLM, together with high spatial resolution proximity labeling assay like Split-TurboID [99], may provide concrete evidence for nanocluster content screening.
The studies of synapse structures have benefited a lot from SRFM techniques and will continue to advance with the improving microscopy modalities. On the other hand, given the structural and molecular similarities of the various synapse structures, we argue that studies of one synapse type can shed light and inspire the studies of another synapse type. A necessary comparison between the discoveries in different types of synapses can help us to better understand the basis of cell communication, irrespective of the cell types. To extend this aspect, inter-organellar membrane contact sites (MCSs) are dynamic nanoscale structures where intracellular organellar communication takes place. SRFM techniques have also been developed for imaging these MCSs, such as endoplasmic reticulum (ER)-plasma membrane MCSs [156,157] and ER-mitochondria MCSs [158,159]. MCSs share the structural pattern of two membranes and a narrow cleft. Therefore, the methodologies in SRFM of synapse structures can be extended to the study of MCSs, and which will lead as well to a better understanding of the dynamics of inter-organellar communication.
Author Contributions
Writing-original draft preparation, X.Y.; writing-review and editing, X.Y. and W.A.; funding acquisition, W.A. Both authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Vlaams Instituut voor Biotechnologie (VIB), Katholieke Universiteit Leuven (KU Leuven, C16/15/073; SMINF KA/20/085), Fonds Wetenschappelijk Onderzoek (FWO, S006617N, G078117N, G056017N, G0C4220N, and G0C3620N), and Stichting Alzheimer Onderzoek–Fondation de Recherche Alzheimer (SAO-FRA, S# 20180020; S# 20200030).
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
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References
- 1.Tansey E.M. Not committing barbarisms: Sherrington and the synapse, 1897. Brain Res. Bull. 1997;44:211–212. doi: 10.1016/S0361-9230(97)00312-2. [DOI] [PubMed] [Google Scholar]
- 2.Palay S.L. Synapses in the central nervous system. J. Biophys. Bochem. Cytol. 1956;2:193–207. doi: 10.1083/jcb.2.4.193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Gray E.G. Electron microscopy of synaptic contants on dendrite spines of the cerebral cortex. Nature. 1959;183:1592–1593. doi: 10.1038/1831592a0. [DOI] [PubMed] [Google Scholar]
- 4.Tsuji S. René Couteaux (1909–1999) and the morphological identification of synapses. Biol. Cell. 2006;98:503–509. doi: 10.1042/BC20050036. [DOI] [PubMed] [Google Scholar]
- 5.Norcross M.A. A synaptic basis for T-lymphocyte activation. Ann. Immunol. 1984;135D:113–134. doi: 10.1016/S0769-2625(84)81105-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Paul W.E., Seder R.A. Lymphocyte responses and cytokines. Cell. 1994;76:241–251. doi: 10.1016/0092-8674(94)90332-8. [DOI] [PubMed] [Google Scholar]
- 7.Davis D.M., Chiu I., Fassett M., Cohen G.B., Mandelboim O., Strominger J.L. The human natural killer cell immune synapse. Proc. Natl. Acad. Sci. USA. 1999;96:15062–15067. doi: 10.1073/pnas.96.26.15062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Dustin M.L. Signaling at neuro/immune synapses. J. Clin. Investig. 2012;122:1149–1155. doi: 10.1172/JCI58705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Dustin M.L., Colman D.R. Neural and immunological synaptic relations. Science. 2002;298:785–789. doi: 10.1126/science.1076386. [DOI] [PubMed] [Google Scholar]
- 10.Nishimune H., Shigemoto K. Practical anatomy of the neuromuscular junction in health and disease. Neurol. Clin. 2018;36:231–240. doi: 10.1016/j.ncl.2018.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Biberfeld P., Johansson A. Contact areas of cytotoxic lymphocytes and target cells. Exp. Cell Res. 1975;94:79–87. doi: 10.1016/0014-4827(75)90533-9. [DOI] [PubMed] [Google Scholar]
- 12.McCann F.E., Vanherberghen B., Eleme K., Carlin L.M., Newsam R.J., Goulding D., Davis D.M. The Size of the Synaptic Cleft and Distinct Distributions of Filamentous Actin, Ezrin, CD43, and CD45 at Activating and Inhibitory Human NK Cell Immune Synapses. J. Immunol. 2003;170:2862–2870. doi: 10.4049/jimmunol.170.6.2862. [DOI] [PubMed] [Google Scholar]
- 13.Harris K.M., Weinberg R.J. Ultrastructure of Synapses in the Mammalian Brain. Cold Spring Harb Perspect Biol. 2012;4:1–30. doi: 10.1101/cshperspect.a005587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Yang X., Specht C.G. Subsynaptic domains in super-resolution microscopy: The treachery of images. Front. Mol. Neurosci. 2019;12:1–8. doi: 10.3389/fnmol.2019.00161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Slater C.R. The structure of human neuromuscular junctions: Some unanswered molecular questions. Int. J. Mol. Sci. 2017;18:2183. doi: 10.3390/ijms18102183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Jones R.A., Harrison C., Eaton S.L., Llavero Hurtado M., Graham L.C., Alkhammash L., Oladiran O.A., Gale A., Lamont D.J., Simpson H., et al. Cellular and Molecular Anatomy of the Human Neuromuscular Junction. Cell Rep. 2017;21:2348–2356. doi: 10.1016/j.celrep.2017.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Curado S., Kumari S., Dustin M.L. Current Topics in Membranes. Volume 72. Elsevier Inc.; New York, NY, USA: 2013. Cell biology meets physiology: Functional organization of vertebrate plasma membranes—The immunological synapse; pp. 313–346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Yang X., Corronc H.L., Legendre P., Triller A., Specht C.G. Differential homeostatic regulation of glycinergic and GABAergic nanocolumns at mixed inhibitory synapses. bioRxiv. 2020 doi: 10.1101/2020.11.23.372383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.York A.L., Zheng J.Q. Super-resolution microscopy reveals a nanoscale organization of acetylcholine receptors for trans-synaptic alignment at neuromuscular synapses. eNeuro. 2017;4:1–11. doi: 10.1523/ENEURO.0232-17.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Murugesan S., Hong J., Yi J., Li D., Beach J.R., Shao L., Meinhardt J., Madison G., Wu X., Betzig E., et al. Formin-generated actomyosin arcs propel T cell receptor microcluster movement at the immune synapse. J. Cell Biol. 2016;215:383–399. doi: 10.1083/jcb.201603080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Dustin M.L. Handbook of Cell Signaling. 2nd ed. Volume 1. Elsevier Inc.; New York, NY, USA: 2010. The immunological synapse; pp. 71–75. [Google Scholar]
- 22.Griffiths G.M., Tsun A., Stinchcombe J.C. The immunological synapse: A focal point for endocytosis and exocytosis. J. Cell Biol. 2010;189:399–406. doi: 10.1083/jcb.201002027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Emes R.D., Grant S.G.N. Evolution of Synapse Complexity and Diversity. Annu. Rev. Neurosci. 2012;35:111–131. doi: 10.1146/annurev-neuro-062111-150433. [DOI] [PubMed] [Google Scholar]
- 24.Sahl S.J., Hell S.W., Jakobs S. Fluorescence nanoscopy in cell biology. Nat. Rev. Mol. Cell Biol. 2017;18:685–701. doi: 10.1038/nrm.2017.71. [DOI] [PubMed] [Google Scholar]
- 25.Sigal Y.M., Zhou R., Zhuang X. Visualizing and discovering cellular structures with super-resolution microscopy. Science. 2018;361:880–887. doi: 10.1126/science.aau1044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Igarashi M., Nozumi X.M., Wu L., Zanacchi F.C., Istva X., Xu P., Zhang M., Xue F., Boyden E. New observations in neuroscience using superresolution microscopy. J. Neurosci. 2018;38:9459–9467. doi: 10.1523/JNEUROSCI.1678-18.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gustafsson M.G.L. Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy. J. Microsc. 2000;198:82–87. doi: 10.1046/j.1365-2818.2000.00710.x. [DOI] [PubMed] [Google Scholar]
- 28.Klar T.A., Jakobs S., Dyba M., Egner A., Hell S.W. Fluorescence microscopy with diffraction resolution barrier broken by stimulated emission. Proc. Natl. Acad. Sci. USA. 2000;97:8206–8210. doi: 10.1073/pnas.97.15.8206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Hell S.W., Wichmann J. Breaking the diffraction resolution limit by stimulated emission: Stimulated-emission-depletion fluorescence microscopy. Opt. Lett. 1994;19:780. doi: 10.1364/OL.19.000780. [DOI] [PubMed] [Google Scholar]
- 30.Rust M.J., Bates M., Zhuang X. Stochastic optical reconstruction miscroscopy (STORM) provides sub-diffraction-limit image resolution. Nat. Methods. 2006;3:793–795. doi: 10.1038/nmeth929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Heilemann M., van de Linde S., Schuttpelz M., Kasper R., Seefeldt B., Mukherjee A., Tinnefeld P., Sauer M. Subdiffraction resolution imaging with conventional fluorescent probes. Angew. Chem Int. Ed. 2008;47:6172–6176. doi: 10.1002/anie.200802376. [DOI] [PubMed] [Google Scholar]
- 32.Betzig E., Patterson G.H., Sougrat R., Lindwasser O.W., Olenych S., Bonifacino J.S., Davidson M.W., Lippincott-Schwartz J., Hess H.F. Imaging intracellular fluorescent proteins at nanometer resolution. Science. 2006;313:1642–1646. doi: 10.1126/science.1127344. [DOI] [PubMed] [Google Scholar]
- 33.Hess S.T., Girirajan T.P.K.K., Mason M.D. Ultra-high resolution imaging by fluorescence photoactivation localization microscopy. Biophys. J. 2006;91:4258–4272. doi: 10.1529/biophysj.106.091116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Sharonov A., Hochstrasser R.M. Wide-field subdiffraction imaging by accumulated binding of diffusing probes. Proc. Natl. Acad. Sci. USA. 2006;103:18911–18916. doi: 10.1073/pnas.0609643104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Klein T., Proppert S., Sauer M. Eight years of single-molecule localization microscopy. Histochem. Cell Biol. 2014;141:561–575. doi: 10.1007/s00418-014-1184-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Heuser J.E., Reese T.S. Evidence for recycling of synaptic vesicle membrane during transmitter release at the frog neuromuscular junction. J. Cell Biol. 1973;57:315–344. doi: 10.1083/jcb.57.2.315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Govind C.K., Meiss D.E. Quantitative comparison of low- and high-output neuromuscular synapses from a motoneuron of the lobster (Homarus americanus) Cell Tissue Res. 1979;198:455–463. doi: 10.1007/BF00234190. [DOI] [PubMed] [Google Scholar]
- 38.Cooper R.L., Winslow J.L., Govind C.K., Atwood H.L. Synaptic structural complexity as a factor enhancing probability of calcium-mediated transmitter release. J. Neurophysiol. 1996;75:2451–2466. doi: 10.1152/jn.1996.75.6.2451. [DOI] [PubMed] [Google Scholar]
- 39.Valtschanoff J.G., Weinberg R.J. Laminar organization of the NMDA receptor complex within the postsynaptic density. J. Neurosci. 2001;21:1211–1217. doi: 10.1523/JNEUROSCI.21-04-01211.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Petersen J.D., Chen X., Vinade L., Dosemeci A., Lisman J.E., Reese T.S. Distribution of postsynaptic density (PSD)-95 and Ca2+/calmodulin-dependent protein kinase II at the PSD. J. Neurosci. 2003;23:11270–11278. doi: 10.1523/JNEUROSCI.23-35-11270.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Rostaing P., Real E., Siksou L., Lechaire J.P., Boudier T., Boeckers T.M., Gertler F., Gundelfinger E.D., Triller A., Marty S. Analysis of synaptic ultrastructure without fixative using high-pressure freezing and tomography. Eur. J. Neurosci. 2006;24:3463–3474. doi: 10.1111/j.1460-9568.2006.05234.x. [DOI] [PubMed] [Google Scholar]
- 42.Kuriu T., Inoue A., Bito H., Sobue K., Okabe S. Differential control of postsynaptic density scaffolds via actin-dependent and -independent mechanisms. J. Neurosci. 2006;26:7693–7706. doi: 10.1523/JNEUROSCI.0522-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Dani A., Huang B., Bergan J., Dulac C., Zhuang X. Super-resolution Imaging of Chemical Synapses in the Brain. Neuron. 2010;68:843–856. doi: 10.1016/j.neuron.2010.11.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Chen X., Winters C., Azzam R., Li X., Galbraith J.A., Leapman R.D., Reese T.S. Organization of the core structure of the postsynaptic density. Proc. Natl. Acad. Sci. USA. 2008;105:4453–4458. doi: 10.1073/pnas.0800897105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.DeGiorgis J.A., Galbraith J.A., Dosemeci A., Chen X., Reese T.S. Distribution of the scaffolding proteins PSD-95, PSD-93, and SAP97 in isolated PSDs. Brain Cell Biol. 2006;35:239–250. doi: 10.1007/s11068-007-9017-0. [DOI] [PubMed] [Google Scholar]
- 46.Macgillavry H.D., Song Y., Raghavachari S., Blanpied T.A. Nanoscale Scaffolding Domains within the Postsynaptic Density Concentrate Synaptic AMPA Receptors. Neuron. 2013;78:615–622. doi: 10.1016/j.neuron.2013.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Specht C.G., Izeddin I., Rodriguez P.C., El Beheiry M., Rostaing P., Darzacq X., Dahan M., Triller A., Supe N. Quantitative nanoscopy of inhibitory synapses: Counting gephyrin molecules and receptor binding sites. Neuron. 2013;79:308–321. doi: 10.1016/j.neuron.2013.05.013. [DOI] [PubMed] [Google Scholar]
- 48.Pennacchietti F., Vascon S., Nieus T., Rosillo C., Das S., Tyagarajan S.K., Diaspro A., Del Bue A., Petrini E.M., Barberis A., et al. Nanoscale Molecular Reorganization of the Inhibitory Postsynaptic Density Is a Determinant of GABAergic Synaptic Potentiation. J. Neurosci. 2017;37:1747–1756. doi: 10.1523/JNEUROSCI.0514-16.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Dzyubenko E., Rozenberg A., Hermann D.M., Faissner A. Colocalization of synapse marker proteins evaluated by STED-microscopy reveals patterns of neuronal synapse distribution in vitro. J. Neurosci. Methods. 2016;273:149–159. doi: 10.1016/j.jneumeth.2016.09.001. [DOI] [PubMed] [Google Scholar]
- 50.Hruska M., Henderson N., Le Marchand S.J., Jafri H., Dalva M.B. Synaptic nanomodules underlie the organization and plasticity of spine synapses. Nat. Neurosci. 2018;21:671–682. doi: 10.1038/s41593-018-0138-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Broadhead M.J., Horrocks M.H., Zhu F., Muresan L., Benavides-Piccione R., DeFelipe J., Fricker D., Kopanitsa M.V., Duncan R.R., Klenerman D., et al. PSD95 nanoclusters are postsynaptic building blocks in hippocampus circuits. Sci. Rep. 2016;6:1–14. doi: 10.1038/srep24626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Masch J.-M., Steffens H., Fischer J., Engelhardt J., Hubrich J., Keller-Findeisen J., D’Este E., Urban N.T., Grant S.G.N., Sahl S.J., et al. Robust nanoscopy of a synaptic protein in living mice by organic-fluorophore labeling. Proc. Natl. Acad. Sci. USA. 2018;115:201807104. doi: 10.1073/pnas.1807104115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Wegner W., Mott A.C., Grant S.G.N., Steffens H., Willig K.I. In vivo STED microscopy visualizes PSD95 sub-structures and morphological changes over several hours in the mouse visual cortex. Sci. Rep. 2018;8:1–11. doi: 10.1038/s41598-017-18640-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Crosby K.C., Gookin S.E., Garcia J.D., Hahm K.M., Dell’Acqua M.L., Smith K.R. Nanoscale subsynaptic domains underlie the organization of the inhibitory synapse. Cell Rep. 2019;26:3284–3297. doi: 10.1016/j.celrep.2019.02.070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Nair D., Hosy E., Petersen J.D., Constals A., Giannone G., Choquet D., Sibarita J.J.-B. Super-Resolution Imaging Reveals That AMPA Receptors Inside Synapses Are Dynamically Organized in Nanodomains Regulated by PSD95. J. Neurosci. 2013;33:13204–13224. doi: 10.1523/JNEUROSCI.2381-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Triller A., Cluzeaud F., Pfeiffer F., Betz H., Korn H. Distribution of glycine receptors at central synapses: An immunoelectron microscopy study. J. Cell Biol. 1985;101:683–688. doi: 10.1083/jcb.101.2.683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Goncalves J., Goncalves J., Bartol T.M., Camus C., Camus C., Levet F., Levet F., Levet F., Menegolla A.P., Menegolla A.P., et al. Nanoscale co-organization and coactivation of AMPAR, NMDAR, and mGluR at excitatory synapses. Proc. Natl. Acad. Sci. USA. 2020;117:14503–14511. doi: 10.1073/pnas.1922563117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Kharazia V.N., Weinberg R.J. Tangential synaptic distribution of NMDA and AMPA receptors in rat neocortex. Neurosci. Lett Lett. 1997;238:41–44. doi: 10.1016/S0304-3940(97)00846-X. [DOI] [PubMed] [Google Scholar]
- 59.Racca C., Stephenson F.A., Streit P., Roberts J.D.B., Somogyi P. NMDA receptor content of synapses in stratum radiatum of the hippocampal CA1 area. J. Neurosci. 2000;20:2512–2522. doi: 10.1523/JNEUROSCI.20-07-02512.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Kennedy M.B. Signal-processing machines at the postsynaptic density. Science. 2000;290:750–754. doi: 10.1126/science.290.5492.750. [DOI] [PubMed] [Google Scholar]
- 61.Luján R., Nusser Z., Roberts J.D.B., Shigemoto R., Somogyi P. Perisynaptic location of metabotropic glutamate receptors mGluR1 and mGluR5 on dendrites and dendritic spines in the rat hippocampus. Eur. J. Neurosci. 1996;8:1488–1500. doi: 10.1111/j.1460-9568.1996.tb01611.x. [DOI] [PubMed] [Google Scholar]
- 62.Cognet L., Groc L., Lounis B., Choquet D. Multiple routes for glutamate receptor trafficking: Surface diffusion and membrane traffic cooperate to bring receptors to synapses. Sci. STKE. 2006;2006:1–5. doi: 10.1126/stke.3272006pe13. [DOI] [PubMed] [Google Scholar]
- 63.Triller A., Choquet D. New Concepts in Synaptic Biology Derived from Single-Molecule Imaging. Neuron. 2008;59:359–374. doi: 10.1016/j.neuron.2008.06.022. [DOI] [PubMed] [Google Scholar]
- 64.Siddig S., Aufmkolk S., Doose S., Jobin M.L., Werner C., Sauer M., Calebiro D. Super-resolution imaging reveals the nanoscale organization of metabotropic glutamate receptors at presynaptic active zones. Sci. Adv. 2020;6:eaay7193. doi: 10.1126/sciadv.aay7193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Triller A., Cluzeaud F., Korn H. Gamma-Aminobutyric Acid-containing Terminals Can Be Apposed to Glycine Receptors at Central Synapses. J. Cell Biol. 1987;104:947–956. doi: 10.1083/jcb.104.4.947. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Todd A.J., Watt C., Spike R.C., Sieghart W. Colocalization of GABA, glycine, and their receptors at synapses in the rat spinal cord. J. Neurosci. 1996;16:974–982. doi: 10.1523/JNEUROSCI.16-03-00974.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Jonas P., Bischofberger J., Sandkühler J., Jonas P., Josef Bischofberger J.S. Corelease of two fast neurotransmitters at a central synapse. Science. 1998;281:419–424. doi: 10.1126/science.281.5375.419. [DOI] [PubMed] [Google Scholar]
- 68.Aubrey K.R., Supplisson S. Heterogeneous Signaling at GABA and glycine co-releasing terminals. Front. Synaptic Neurosci. 2018;10:1–13. doi: 10.3389/fnsyn.2018.00040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Südhof T.C. The Presynaptic Active Zone. Neuron. 2012;75:11–25. doi: 10.1016/j.neuron.2012.06.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Rizo J. Mechanism of neurotransmitter release coming into focus. Protein Sci. 2018;27:1364–1391. doi: 10.1002/pro.3445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Nosov G., Kahms M., Klingauf J. The Decade of Super-Resolution Microscopy of the Presynapse. Front Synaptic Neurosci. 2020;12:1–17. doi: 10.3389/fnsyn.2020.00032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Bademosi A.T., Lauwers E., Padmanabhan P., Odierna L., Chai Y.J., Papadopulos A., Goodhill G.J., Verstreken P., Van Swinderen B., Meunier F.A. In vivo single molecule imaging of syntaxin1A reveals polyphosphoinositide- and activity-dependent trapping in presynaptic nanoclusters. Nat. Commun. 2017;8:13660. doi: 10.1038/ncomms14492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Bademosi A.T., Steeves J., Karunanithi S., Zalucki O.H., Gormal R.S., Liu S., Lauwers E., Verstreken P., Anggono V., Meunier F.A., et al. Trapping of Syntaxin1a in Presynaptic Nanoclusters by a Clinically Relevant General Anesthetic. Cell Rep. 2018;22:427–440. doi: 10.1016/j.celrep.2017.12.054. [DOI] [PubMed] [Google Scholar]
- 74.Schneider R., Hosy E., Voigt A., Heine M., Schneider R., Hosy E., Kohl J., Klueva J., Choquet D., Thomas U., et al. Mobility of Calcium Channels in the Presynaptic Membrane. Neuron. 2015;86:672–679. doi: 10.1016/j.neuron.2015.03.050. [DOI] [PubMed] [Google Scholar]
- 75.Heck J., Parutto P., Ciuraszkiewicz A., Bikbaev A., Freund R., Mitlöhner J., Andres-Alonso M., Fejtova A., Holcman D., Heine M. Transient Confinement of CaV2.1 Ca2+-Channel Splice Variants Shapes Synaptic Short-Term Plasticity. Neuron. 2019;103:66–79.e12. doi: 10.1016/j.neuron.2019.04.030. [DOI] [PubMed] [Google Scholar]
- 76.Miki T., Kaufmann W.A., Malagon G., Gomez L., Tabuchi K., Watanabe M., Shigemoto R., Marty A. Numbers of presynaptic Ca2+ channel clusters match those of functionally defined vesicular docking sites in single central synapses. Proc. Natl. Acad. Sci. USA. 2017;114:E5246–E5255. doi: 10.1073/pnas.1704470114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Tang A.H., Chen H., Li T.P., Metzbower S.R., MacGillavry H.D., Blanpied T.A. A trans-synaptic nanocolumn aligns neurotransmitter release to receptors. Nature. 2016;536:210–214. doi: 10.1038/nature19058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Glebov O.O., Jackson R.E., Winterflood C.M., Owen D.M., Barker E.A., Doherty P., Ewers H., Burrone J., Winter C.M., Owen D.M., et al. Nanoscale Structural Plasticity of the Active Zone Matrix Modulates Presynaptic Function. Cell Rep. 2017;18:2715–2728. doi: 10.1016/j.celrep.2017.02.064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Willig K.I., Rizzoli S.O., Westphal V., Jahn R., Hell S.W. STED microscopy reveals that synaptotagmin remains clustered after synaptic vesicle exocytosis. Nature. 2006;440:935–939. doi: 10.1038/nature04592. [DOI] [PubMed] [Google Scholar]
- 80.Biederer T., Kaeser P.S., Blanpied T.A. Trans-cellular nano-alignment of synaptic function. Neuron. 2017;96:680–696. doi: 10.1016/j.neuron.2017.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Chen H., Tang A.H., Blanpied T.A. Subsynaptic spatial organization as a regulator of synaptic strength and plasticity. Curr. Opin. Neurobiol. 2018;51:147–153. doi: 10.1016/j.conb.2018.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Liu K.K.L., Hagan M.F., Lisman J.E. Gradation (approx. 10 size states) of synaptic strength by quantal addition of structural modules. Philos Trans. R Soc. L. B Biol. Sci. 2017;372:20160328. doi: 10.1098/rstb.2016.0328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Scheefhals N., MacGillavry H.D. Functional organization of postsynaptic glutamate receptors. Mol. Cell Neurosci. 2018;91:82–94. doi: 10.1016/j.mcn.2018.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Choquet D., Triller A. The Dynamic Synapse. Neuron. 2013;80:691–703. doi: 10.1016/j.neuron.2013.10.013. [DOI] [PubMed] [Google Scholar]
- 85.Zuber B., Nikonenko I., Klauser P., Muller D., Dubochet J. The mammalian central nervous synaptic cleft contains a high density of periodically organized complexes. Proc. Natl. Acad. Sci. USA. 2005;102:19192–19197. doi: 10.1073/pnas.0509527102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.High B., Cole A.A., Chen X., Reese T.S. Electron microscopic tomography reveals discrete transcleft elements at excitatory and inhibitory synapses. Front. Synaptic Neurosci. 2015;7:1–9. doi: 10.3389/fnsyn.2015.00009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Tao C.-L., Liu Y.-T., Sun R., Zhang B., Qi L., Shivakoti S., Tian C.-L., Zhang P., Lau P.-M., Zhou Z.H., et al. Differentiation and characterization of excitatory and inhibitory synapses by cryo-electron tomography and correlative microscopy. J. Neurosci. 2018;38:1548-17. doi: 10.1523/JNEUROSCI.1548-17.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Rudenko G. Neurexins—Versatile molecular platforms in the synaptic cleft. Curr. Opin. Struct. Biol. 2019;54:112–121. doi: 10.1016/j.sbi.2019.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Südhof T.C. Neuroligins and Neurexins Link Synaptic Function to Cognitive Disease. Nature. 2008;455:903–911. doi: 10.1038/nature07456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Haas K.T., Compans B., Letellier M., Bartol T.M., Grillo-Bosch D., Sejnowski T.J., Sainlos M., Choquet D., Thoumine O., Hosy E., et al. Pre-post synaptic alignment through neuroligin-1 tunes synaptic transmission efficiency. Elife. 2018;7:1–22. doi: 10.7554/eLife.31755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Chamma I., Letellier M., Butler C., Tessier B., Lim K.-H., Gauthereau I., Choquet D., Sibarita J.-B., Park S., Sainlos M., et al. Mapping the dynamics and nanoscale organization of synaptic adhesion proteins using monomeric streptavidin. Nat. Commun. 2016;7:1–15. doi: 10.1038/ncomms10773. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Chamma I., Levet F., Sibarita J.-B., Sainlos M., Thoumine O. Nanoscale organization of synaptic adhesion proteins revealed by single-molecule localization microscopy. Neurophotonics. 2016;3:041810. doi: 10.1117/1.NPh.3.4.041810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Trotter J.H., Hao J., Maxeiner S., Tsetsenis T., Liu Z., Zhuang X., Südhof T.C. Synaptic neurexin-1 assembles into dynamically regulated active zone nanoclusters. J. Cell Biol. 2019;218:2677–2698. doi: 10.1083/jcb.201812076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Missler M., Südhof T.C., Biederer T. Synaptic cell adhesion. Cold Spring Harb. Perspect. Biol. 2012;4:a005694. doi: 10.1101/cshperspect.a005694. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Perez de Arce K., Schrod N., Metzbower S.W.R., Allgeyer E., Kong G.K.W., Tang A.-H., Krupp A.J., Stein V., Liu X., Bewersdorf J., et al. Topographic mapping of the synaptic cleft into adhesive nanodomains. Neuron. 2015;88:1165–1172. doi: 10.1016/j.neuron.2015.11.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Rhee H., Zou P., Udeshi N.D., Martell J.D., Mootha V.K., Carr S.A., Ting A.Y. Proteomic Mapping of Mitochondria in Living Cells via Spatially- Restricted Enzymatic Tagging. Science. 2013;339:1328–1331. doi: 10.1126/science.1230593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Hung V., Zou P., Rhee H., Udeshi N.D., Cracan V., Svinkina T., Carr S.A., Mootha V.K., Ting A.Y. Proteomic mapping of the human mitochondrial intermembrane space in live cells via ratiometric APEX tagging. Mol. Cell. 2014;55:332–341. doi: 10.1016/j.molcel.2014.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Branon T.C., Bosch J.A., Sanchez A.D., Udeshi N.D., Carr S.A., Feldman J.L., Perrimon N., Ting A.Y. Efficient proximity labeling in living cells and organisms with TurboID. Nat. Biotechnol. 2018;36:880–887. doi: 10.1038/nbt.4201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Cho K.F., Branon T.C., Rajeev S., Svinkina T., Udeshi N.D., Thoudam T., Kwak C., Rhee H.-W.W., Lee I.-K.K., Carr S.A., et al. Split-TurboID enables contact-dependent proximity labeling in cells. Proc. Natl. Acad. Sci. USA. 2020;117:12143–12154. doi: 10.1073/pnas.1919528117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Sanes J.R. The synaptic cleft of the neuromuscular junction. Semin. Dev. Biol. 1995;6:163–173. doi: 10.1016/S1044-5781(06)80026-5. [DOI] [Google Scholar]
- 101.Patton B.L. Basal lamina and the organization of neuromuscular synapses. J. Neurocytol. 2003;32:883–903. doi: 10.1023/B:NEUR.0000020630.74955.19. [DOI] [PubMed] [Google Scholar]
- 102.Badawi Y., Nishimune H. Super-resolution microscopy for analyzing neuromuscular junctions and synapses. Neurosci. Lett. 2020;715:134644. doi: 10.1016/j.neulet.2019.134644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Ehmann N., Sauer M., Kittel R.J. Super-resolution microscopy of the synaptic active zone. Front. Cell Neurosc. 2015;9:1–8. doi: 10.3389/fncel.2015.00007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Kittel R.J., Wichmann C., Rasse T.M., Fouquet W., Schmidt M., Schmid A., Wagh D.A., Pawlu C., Kellner R.R., Willig K.I., et al. Bruchpilot Promotes Active Zone Assembly, Ca2þ Channel Clustering, and Vesicle Release. Science. 2006;312:1051–1054. doi: 10.1126/science.1126308. [DOI] [PubMed] [Google Scholar]
- 105.Ehmann N., Van De Linde S., Alon A., Ljaschenko D., Keung X.Z., Holm T., Rings A., DiAntonio A., Hallermann S., Ashery U., et al. Quantitative super-resolution imaging of Bruchpilot distinguishes active zone states. Nat. Commun. 2014;5:1–12. doi: 10.1038/ncomms5650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Böhme M.A., Beis C., Reddy-Alla S., Reynolds E., Mampell M.M., Grasskamp A.T., Lützkendorf J., Bergeron D.D., Driller J.H., Babikir H., et al. Active zone scaffolds differentially accumulate Unc13 isoforms to tune Ca2+ channel-vesicle coupling. Nat. Neurosci. 2016;19:1311–1320. doi: 10.1038/nn.4364. [DOI] [PubMed] [Google Scholar]
- 107.Reddy-Alla S., Böhme M.A., Reynolds E., Beis C., Grasskamp A.T., Mampell M.M., Maglione M., Jusyte M., Rey U., Babikir H., et al. Stable Positioning of Unc13 Restricts Synaptic Vesicle Fusion to Defined Release Sites to Promote Synchronous Neurotransmission. Neuron. 2017;95:1350–1364.e12. doi: 10.1016/j.neuron.2017.08.016. [DOI] [PubMed] [Google Scholar]
- 108.Ghelani T., Sigrist S.J. Coupling the Structural and Functional Assembly of Synaptic Release Sites. Front. Neuroanat. 2018;12:1–20. doi: 10.3389/fnana.2018.00081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Böhme M.A., McCarthy A.W., Grasskamp A.T., Beuschel C.B., Goel P., Jusyte M., Laber D., Huang S., Rey U., Petzoldt A.G., et al. Rapid active zone remodeling consolidates presynaptic potentiation. Nat. Commun. 2019;10:1–59. doi: 10.1038/s41467-019-08977-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Nishimune H., Badawi Y., Mori S., Shigemoto K. Dual-color STED microscopy reveals a sandwich structure of Bassoon and Piccolo in active zones of adult and aged mice. Sci. Rep. 2016;6:1–12. doi: 10.1038/srep27935. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Badawi Y., Nishimune H. Presynaptic active zones of mammalian neuromuscular junctions: Nanoarchitecture and selective impairments in aging. Neurosci. Res. 2018;127:78–88. doi: 10.1016/j.neures.2017.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Patton B.L., Cunningham J.M., Thyboll J., Kortesmaa J., Westerblad H., Edström L., Tryggvason K., Sanes J.R. Properly formed but improperly localized synaptic specializations in the absence of laminin α4. Nat. Neurosci. 2001;4:597–604. doi: 10.1038/88414. [DOI] [PubMed] [Google Scholar]
- 113.Sanes J.R. The basement membrane/basal lamina of skeletal muscle. J. Biol. Chem. 2003;278:12601–12604. doi: 10.1074/jbc.R200027200. [DOI] [PubMed] [Google Scholar]
- 114.Dustin M.L., Olszowy M.W., Holdorf A.D., Li J., Bromley S., Desai N., Widder P., Rosenberger F., Van Der Merwe P.A., Allen P.M., et al. A novel adaptor protein orchestrates receptor patterning and cytoskeletal polarity in T-cell contacts. Cell. 1998;94:667–677. doi: 10.1016/S0092-8674(00)81608-6. [DOI] [PubMed] [Google Scholar]
- 115.Monks C.R.F., Freiberg B.A., Kupfer H., Sciaky N., Kupfer A. Three-dimensional segregation of supramolecular activation clusters in T cells. Nature. 1998;395:82–86. doi: 10.1038/25764. [DOI] [PubMed] [Google Scholar]
- 116.Grakoui A., Bromley S.K., Sumen C., Davis M.M., Shaw A.S., Allen P.M., Dustin M.L. The immunological synapse: A molecular machine controlling T cell activation. Science. 1999;285:221–227. doi: 10.1126/science.285.5425.221. [DOI] [PubMed] [Google Scholar]
- 117.Cullinan P., Sperling A.I., Burkhardt J.K. The distal pole complex: A novel membrane domain distal to the immunological synapse. Immunol. Rev. Rev. 2002;189:111–122. doi: 10.1034/j.1600-065X.2002.18910.x. [DOI] [PubMed] [Google Scholar]
- 118.Dustin M.L. Immunological Synapses. Encycl. Immunobiol. 2016;3:16–24. [Google Scholar]
- 119.Dustin M.L., Depoil D. New insights into the T cell synapse from single molecule techniques. Nat. Rev. Immunol. 2011;11:672–684. doi: 10.1038/nri3066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Rossy J., Pageon S.V., Davis D.M., Gaus K. Super-resolution microscopy of the immunological synapse. Curr. Opin. Immunol. 2013;25:307–312. doi: 10.1016/j.coi.2013.04.002. [DOI] [PubMed] [Google Scholar]
- 121.Xie J., Tato C.M., Davis M.M. How the immune system talks to itself: The varied role of synapses. Immunol. Rev. 2013;251:65–79. doi: 10.1111/imr.12017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Goyette J., Nieves D.J., Ma Y., Gaus K. How does T cell receptor clustering impact on signal transduction? J. Cell Sci. 2019;132:jcs226423. doi: 10.1242/jcs.226423. [DOI] [PubMed] [Google Scholar]
- 123.Lillemeier B.F., Mörtelmaier M.A., Forstner M.B., Huppa J.B., Groves J.T., Davis M.M. TCR and Lat are expressed on separate protein islands on T cell membranes and concatenate during activation. Nat. Immunol. 2010;11:90–96. doi: 10.1038/ni.1832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Sherman E., Barr V., Manley S., Patterson G., Balagopalan L., Akpan I., Regan C.K., Merrill R.K., Sommers C.L., Lippincott-Schwartz J., et al. Functional nanoscale organization of signaling molecules downstream of the T cell antigen receptor. Immunity. 2011;35:705–720. doi: 10.1016/j.immuni.2011.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Pageon S.V., Tabarin T., Yamamoto Y., Ma Y., Nicovich P.R., Bridgeman J.S., Cohnen A., Benzing C., Gao Y., Crowther M.D., et al. Functional role of T-cell receptor nanoclusters in signal initiation and antigen discrimination. Proc. Natl. Acad. Sci. USA. 2016;113:E6905. doi: 10.1073/pnas.1607436113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.James J.R., White S.S., Clarke R.W., Johansen A.M., Dunne P.D., Sleep D.L., Fitzgerald W.J., Davis S.J., Klenerman D. Single-molecule level analysis of the subunit composition of the T cell receptor on live T cells. Proc. Natl. Acad. Sci. USA. 2007;104:17662–17667. doi: 10.1073/pnas.0700411104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Brameshuber M., Kellner F., Rossboth B.K., Ta H., Alge K., Sevcsik E., Göhring J., Axmann M., Baumgart F., Gascoigne N.R.J., et al. Monomeric TCRs drive T cell antigen recognition article. Nat. Immunol. 2018;19:487–496. doi: 10.1038/s41590-018-0092-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Williamson D.J., Owen D.M., Rossy J., Magenau A., Wehrmann M., Gooding J.J., Gaus K. Pre-existing clusters of the adaptor Lat do not participate in early T cell signaling events. Nat. Immunol. 2011;12:655–662. doi: 10.1038/ni.2049. [DOI] [PubMed] [Google Scholar]
- 129.Balagopalan L., Barr V.A., Kortum R.L., Park A.K., Samelson L.E. Cutting Edge: Cell Surface Linker for Activation of T Cells Is Recruited to Microclusters and Is Active in Signaling. J. Immunol. 2013;190:3849–3853. doi: 10.4049/jimmunol.1202760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Feher K., Halstead J.M., Goyette J., Gaus K. Can single molecule localization microscopy detect nanoclusters in T cells? Curr. Opin. Chem. Biol. 2019;51:130–137. doi: 10.1016/j.cbpa.2019.05.019. [DOI] [PubMed] [Google Scholar]
- 131.Santos A.M., Ponjavic A., Fritzsche M., Fernandes R.A., De La Serna J.B., Wilcock M.J., Schneider F., Urbančič I., McColl J., Anzilotti C., et al. Capturing resting T cells: The perils of PLL correspondence. Nat. Immunol. 2018;19:203–205. doi: 10.1038/s41590-018-0048-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Rak G.D., Mace E.M., Banerjee P.P., Svitkina T., Orange J.S. Natural Killer cell lytic granule secretion occurs through a pervasive actin network at the immune synapse. PLoS Biol. 2011;9:e1001151. doi: 10.1371/journal.pbio.1001151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Brown A.C.N., Oddos S., Dobbie I.M., Alakoskela J.M., Parton R.M., Eissmann P., Neil M.A.A., Dunsby C., French P.M.W., Davis I., et al. Remodelling of cortical actin where lytic granules dock at Natural Killer cell immune synapses revealed by super-resolution microscopy. PLoS Biol. 2011;9:e1001152. doi: 10.1371/journal.pbio.1001152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Ashdown G.W., Burn G.L., Williamson D.J., Pandžić E., Peters R., Holden M., Ewers H., Shao L., Wiseman P.W., Owen D.M. Live-Cell Super-resolution Reveals F-Actin and Plasma Membrane Dynamics at the T Cell Synapse. Biophys. J. 2017;112:1703–1713. doi: 10.1016/j.bpj.2017.01.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Fritzsche M., Fernandes R.A., Chang V.T., Colin-York H., Clausen M.P., Felce J.H., Galiani S., Erlenkämper C., Santos A.M., Heddleston J.M., et al. Cytoskeletal actin dynamics shape a ramifying actin network underpinning immunological synapse formation. Sci. Adv. 2017;3:e1603032. doi: 10.1126/sciadv.1603032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Blumenthal D., Burkhardt J.K. Multiple actin networks coordinate mechanotransduction at the immunological synapse. J. Cell Biol. 2020;219:1–12. doi: 10.1083/jcb.201911058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Hammer J.A., Wang J.C., Saeed M., Pedrosa A.T. Origin, Organization, Dynamics, and Function of Actin and Actomyosin Networks at the T Cell Immunological Synapse. Ann. Rev. Immunol. 2019;37:201–224. doi: 10.1146/annurev-immunol-042718-041341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Stefen H., Chaichim C., Power J., Fath T. Regulation of the Postsynaptic Compartment of Excitatory Synapses by the Actin Cytoskeleton in Health and Its Disruption in Disease. Neural. Plast. 2016;2016:2371970. doi: 10.1155/2016/2371970. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Charrier C., Ehrensperger M.M.-V.M., Dahan M., Levi S., Triller A. Cytoskeleton Regulation of Glycine Receptor Number at Synapses and Diffusion in the Plasma Membrane. J. Neurosci. 2006;26:8502–8511. doi: 10.1523/JNEUROSCI.1758-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Jung Y., Riven I., Feigelson S.W., Kartvelishvily E., Tohya K., Miyasaka M. Three-dimensional localization of T-cell receptors in relation to microvilli using a combination of superresolution microscopies. Proc. Natl. Acad. Sci. USA. 2016;113:E5916–E5924. doi: 10.1073/pnas.1605399113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Fernandes R.A., Ganzinger K.A., Tzou J.C., Jönsson P., Lee S.F., Palayret M., Santos A.M., Carr A.R., Ponjavic A., Chang V.T., et al. A cell topography-based mechanism for ligand discrimination by the T cell receptor. Proc. Natl. Acad. Sci. USA. 2019;116:14002–14010. doi: 10.1073/pnas.1817255116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Fernández-Orth J., Rolfes L., Gola L., Bittner S., Andronic J., Sukhorukov V.L., Sisario D., Landgraf P., Dieterich D.C., Cerina M., et al. A role for TASK2 channels in the human immunological synapse. Eur. J. Immunol. 2020;51:342–353. doi: 10.1002/eji.201948269. [DOI] [PubMed] [Google Scholar]
- 143.Pettmann J., Santos A.M., Dushek O., Davis S.J. Membrane ultrastructure and T cell activation. Front. Immunol. 2018;9:1–9. doi: 10.3389/fimmu.2018.02152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Orbach R., Su X. Surfing on Membrane Waves: Microvilli, Curved Membranes, and Immune Signaling. Front. Immunol. 2020;11:2187. doi: 10.3389/fimmu.2020.02187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Bartle E.I., Rao T.C., Urner T.M., Mattheyses A.L. Bridging the gap: Super-resolution microscopy of epithelial cell junctions. Tissue Barriers. 2018;6:1–13. doi: 10.1080/21688370.2017.1404189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Gonschior H., Haucke V., Lehmann M. Super-resolution imaging of tight and adherens junctions: Challenges and open questions. Int. J. Mol. Sci. 2020;21:744. doi: 10.3390/ijms21030744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Otani T., Furuse M. Tight Junction Structure and Function Revisited. Trends Cell Biol. 2020;30:805–817. doi: 10.1016/j.tcb.2020.08.004. [DOI] [PubMed] [Google Scholar]
- 148.Mangeol P., Massey-Harroche D., Richard F., Lenne P.-F., Le Bivic A. Super-resolution imaging uncovers the nanoscopic segregation of polarity proteins in epithelia. bioRxiv. 2020 doi: 10.1101/2020.08.12.248674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.McCutcheon S., Stout R.F., Spray D.C. The dynamic Nexus: Gap junctions control protein localization and mobility in distinct and surprising ways. Sci. Rep. 2020;10:1–18. doi: 10.1038/s41598-020-73892-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Hoffman D.P., Shtengel G., Xu C.S., Campbell K.R., Freeman M., Wang L., Milkie D.E., Pasolli H.A., Iyer N., Bogovic J.A., et al. Correlative three-dimensional super-resolution and block-face electron microscopy of whole vitreously frozen cells. Science. 2020;367:eaaz5357. doi: 10.1126/science.aaz5357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Sannerud R., Esselens C., Ejsmont P., Mattera R., Rochin L., Tharkeshwar A.K., De Baets G., De Wever V., Habets R., Baert V., et al. Restricted Location of PSEN2/g -Secretase Determines Substrate Specificity and Generates an Intracellular Ab Pool. Cell. 2016;166:193–208. doi: 10.1016/j.cell.2016.05.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Wolff G., Hagen C., Grünewald K., Kaufmann R. Towards correlative super-resolution fluorescence and electron cryo-microscopy. Biol. Cell. 2016;108:245–258. doi: 10.1111/boc.201600008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Lu C.-H., Tang W.-C., Liu Y.-T., Chang S.-W., Wu F.C.M., Chen C.-Y., Tsai Y.-C., Yang S.-M., Kuo C.-W., Okada Y., et al. Lightsheet localization microscopy enables fast, large-scale, and three-dimensional super-resolution imaging. Commun. Biol. 2019;2:1–10. doi: 10.1038/s42003-019-0403-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Weiss L.E., Shalev Ezra Y., Goldberg S., Ferdman B., Adir O., Schroeder A., Alalouf O., Shechtman Y. Three-dimensional localization microscopy in live flowing cells. Nat. Nanotechnol. 2020;15:500–506. doi: 10.1038/s41565-020-0662-0. [DOI] [PubMed] [Google Scholar]
- 155.Gwosch K.C., Pape J.K., Balzarotti F., Hoess P., Ellenberg J., Ries J., Hell S.W. MINFLUX nanoscopy delivers 3D multicolor nanometer resolution in cells. Nat. Methods. 2020;17:217–224. doi: 10.1038/s41592-019-0688-0. [DOI] [PubMed] [Google Scholar]
- 156.Hsieh T.S., Chen Y.J., Chang C.L., Lee W.R., Liou J. Cortical actin contributes to spatial organization of ER-PM junctions. Mol. Biol. Cell. 2017;28:3171–3180. doi: 10.1091/mbc.e17-06-0377. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Nascimbeni A.C., Giordano F., Dupont N., Grasso D., Vaccaro M.I., Codogno P., Morel E. ER–plasma membrane contact sites contribute to autophagosome biogenesis by regulation of local PI 3P synthesis. EMBO J. 2017;36:2018–2033. doi: 10.15252/embj.201797006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Shim S.H., Xia C., Zhong G., Babcock H.P., Vaughan J.C., Huang B., Wang X., Xu C., Bi G.Q., Zhuang X. Super-resolution fluorescence imaging of organelles in live cells with photoswitchable membrane probes. Proc. Natl. Acad. Sci. USA. 2012;109:13978–13983. doi: 10.1073/pnas.1201882109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Modi S., López-Doménech G., Halff E.F., Covill-Cooke C., Ivankovic D., Melandri D., Arancibia-Cárcamo I.L., Burden J.J., Lowe A.R., Kittler J.T. Miro clusters regulate ER-mitochondria contact sites and link cristae organization to the mitochondrial transport machinery. Nat. Commun. 2019;10:4399. doi: 10.1038/s41467-019-12382-4. [DOI] [PMC free article] [PubMed] [Google Scholar]