C Wichmann1, T Moser. 1. Molecular Architecture of Synapses Group, Institute for Auditory Neuroscience and InnerEarLab, University Medical Center Göttingen, Göttingen, Germany, cwichma@gwdg.de.
Abstract
In the mammalian cochlea, sound is encoded at synapses between inner hair cells (IHCs) and type I spiral ganglion neurons (SGNs). Each SGN receives input from a single IHC ribbon-type active zone (AZ) and yet SGNs indefatigably spike up to hundreds of Hz to encode acoustic stimuli with submillisecond precision. Accumulating evidence indicates a highly specialized molecular composition and structure of the presynapse, adapted to suit these high functional demands. However, we are only beginning to understand key features such as stimulus-secretion coupling, exocytosis mechanisms, exo-endocytosis coupling, modes of endocytosis and vesicle reformation, as well as replenishment of the readily releasable pool. Relating structure and function has become an important avenue in addressing these points and has been applied to normal and genetically manipulated hair cell synapses. Here, we review some of the exciting new insights gained from recent studies of the molecular anatomy and physiology of IHC ribbon synapses.
In the mammalian cochlea, sound is encoded at synapses between inner hair cells (IHCs) and type I spiral ganglion neurons (SGNs). Each SGN receives input from a single IHC ribbon-type active zone (AZ) and yet SGNs indefatigably spike up to hundreds of Hz to encode acoustic stimuli with submillisecond precision. Accumulating evidence indicates a highly specialized molecular composition and structure of the presynapse, adapted to suit these high functional demands. However, we are only beginning to understand key features such as stimulus-secretion coupling, exocytosis mechanisms, exo-endocytosis coupling, modes of endocytosis and vesicle reformation, as well as replenishment of the readily releasable pool. Relating structure and function has become an important avenue in addressing these points and has been applied to normal and genetically manipulated hair cell synapses. Here, we review some of the exciting new insights gained from recent studies of the molecular anatomy and physiology of IHC ribbon synapses.
Synapses transfer information from sensory cells or neurons to other neurons or distinct target cell types, such as muscle cells. A plethora of presynaptic proteins orchestrate neurotransmitter release at the presynaptic active zone (AZ). These proteins are organized into three main compartments, which are ultrastructurally defined and classically referred to as (1) the cytomatrix at the active zone (CAZ) with (2) presynaptic electron dense projections that are clustering (3) synaptic vesicles (Zhai and Bellen 2004). The presynaptic dense projections appear highly variable in size and shape, which have been hypothesized to follow the function of a given synapse type. They seem to be present at all neuronal AZs but differ greatly in terms of order, density and morphology as well as molecular composition (Zhai and Bellen 2004). For example, rather small structures of less than 100 nm height are found at mammalian conventional central nervous system (CNS) synapses where they form a presynaptic grid, also termed a ‘particle web’, with a triangular or hexagonal pattern (Vrensen et al. 1980; Phillips et al. 2001; Zhai and Bellen 2004; Limbach et al. 2011; Südhof 2012). Remarkably regularly arranged structures can be observed at neuromuscular junctions of the frog (Harlow et al. 2001; Szule et al. 2012). Moreover, presynaptic dense projections are not an evolutionary invention of vertebrates, as insects such as the fruitfly Drosophila melanogaster also harbor elaborated dense projections termed ‘T-bars’, which are found at almost every synapse type (for review, see Wichmann and Sigrist 2010). The anatomical hallmark of tonically releasing sensory mammalian photoreceptor synapses, a huge plate-like dense projection that tethers hundreds of synaptic vesicles (Schmitz et al. 2000), was discovered in the 1950s (De Robertis and Franchi 1956), when transmission electron microscopy started to become a commonly used technique.Electron microscopy allowed researchers to visualize the ultrastructure of cells in detail for the first time (De Robertis and Bennett 1955), bringing exciting new knowledge about morphology, organization and communication of cells in general and synapses in particular (see, for example: De Robertis and Bennett 1955; De Robertis and Franchi 1956). At this time, synaptic vesicles were discovered at guinea pig retinal synapses, where they were called ‘minute granules’ (Sjostrand 1953). Soon afterwards, the term ‘synaptic vesicle’ was coined by De Robertis and Bennett (1955), who were inspecting bullfrog and earthworm synapses. In parallel, the work of De Robertis and Franchi (1956) on photoreceptors of light- or dark-exposed rabbits provided the first experimental evidence correlating synaptic vesicle numbers and presynaptic activity. A few years later, the large presynaptic dense structures of these synapses were named ‘ribbons’, when their characteristic shape with extended longitudinal axis was recognized in serial 3D reconstructions of guinea pig retinas (Sjostrand 1958). Subsequently, synaptic ribbons were also found to decorate cochlear afferent hair cell synapses (Smith and Sjostrand 1961).Golgi or horseradish peroxidase labeling in combination with transmission electron microscopy were also and still are, widely used to visualize neurons (Meller et al. 1968; LeVay 1973; White and Rock 1980; DeFelipe et al. 1986) and to understand the anatomy of the inner ear. For example, the afferent spiral ganglion neurons (SGNs) of the cochlear nerve, which carry the information about an acoustical signal from the inner ear to the brainstem, were studied intensely in various mammals such as guinea pig, mouse or cat (Spoendlin 1972, 1975, 1979; Paradiesgarten and Spoendlin 1976; Bodian 1978; Kiang et al. 1982; Liberman 1982a; Ginzberg and Morest 1984; Ryugo and Rouiller 1988; Liberman et al. 1990). These studies revealed that inner and outer hair cells are innervated by different SGN types (Kiang et al. 1982), outer hair cells (OHCs) by unmyelinated (5 %) and inner hair cells (IHCs) by myelinated (95 %) afferent fibers (Spoendlin 1969, 1975). Each of the myelinated, bipolar type I SGNs sends a peripheral unmyelinated and unbranched neurite to form a synapse with a single IHC ribbon synapse (Liberman 1980; Liberman et al. 1990; Buran et al. 2010; reviewed in Meyer and Moser 2010). Therefore, recordings from SGNs enable the investigation of the function of individual AZs within an IHC. Type I SGNs show different intensity thresholds and dynamic ranges in cat (Liberman and Kiang 1978). Paired recordings from hair cells and postsynaptic neurons have provided insight into synaptic sound encoding and its presynaptic determinants (Palmer and Russell 1986). Finally, observations of postsynaptic excitatory potentials by recordings from near the synapse revealed the first information on the presynaptic release mechanism (Furukawa et al. 1978; Starr and Sewell 1991; Siegel 1992). Each IHC contains 5–30 AZs, dependent on species and tonotopic position along the cochlea, generally peaking at the region with the greatest sound sensitivity for the particular species (Francis et al. 2006; Meyer et al. 2009; Meyer and Moser 2010). Liberman and co-workers were among the pioneers coupling structural investigations of the mammalian auditory system to its function. In his seminal study, Liberman’s (1982b) functional characterization of cat single auditory nerve fibers was followed by horseradish peroxidase labeling to individually back-trace the innervation location at the respective IHC AZs. This approach allowed the author to relate functional parameters such as spontaneous firing rates and firing thresholds to morphology of type I SGNs, described, for example, by the dimension and location of their unmyelinated terminals on the IHCs. These studies together led to the hypothesis that ribbon synapses within a given IHC are structurally and functionally heterogeneous (which will be discussed later in this review) and pointed to the further need for detailed structure–function analyses. Horseradish peroxidase labeling combined with electron microscopy also provided insights into presynaptic vesicle cycling in hair cells (Siegel and Brownell 1986). More recently, hair cell synapses have increasingly attracted research activity and novel as well as classical methods have been employed for assessing their structure and function in combination with genetic or pharmacological manipulation of the synapses or noise exposure. Quantitative electron microscopy analysis employing electron tomography of different functional states as well as freeze-fracture and subsequent electron microscopy have been introduced by Roberts and others for studies of hair cell synapses (Roberts et al. 1990; Saito 1990; Lenzi et al. 1999, 2002). Molecular manipulations involving germline mutagenesis as well as virus-mediated gene transfer were established. Further, patch-clamp recordings have characterized Ca2+ currents (e.g., Lewis and Hudspeth 1983; Fuchs et al. 1990; Roberts et al. 1990; Platzer et al. 2000; Brandt et al. 2003) and membrane turnover (e.g., Parsons et al. 1994; Moser and Beutner 2000; Schnee et al. 2005) of hair cells. Technically very challenging postsynaptic patch-clamp recordings have provided insight into the excitatory postsynaptic currents (Glowatzki and Fuchs 2002) and, combined with presynaptic recordings, have elucidated hair cell synaptic mechanisms with superb resolution (e.g., Keen and Hudspeth 2006; Goutman and Glowatzki 2007; Li et al. 2009). Immunohistochemistry combined with high-resolution microscopy as well as transcriptomic and proteomic analyses have informed on the molecular composition of hair cell synapses (Khimich et al. 2005; Uthaiah and Hudspeth 2010; Kantardzhieva et al. 2011). Finally, fluorescence imaging has been implemented for studies of hair cell synapse function (Tucker and Fettiplace 1995; Issa and Hudspeth 1996; Zenisek et al. 2003; Griesinger et al. 2005; Frank et al. 2009; Revelo et al. 2014).Ribbon-type AZs cope with a demanding task: synaptic vesicles need to be released indefatigably and rapidly recycled at individual synapses in order to maintain high firing rates of SGNs that fire at hundreds of Hz even during continued stimulation (reviewed in Matthews and Fuchs 2010; Pangršič et al. 2012; Safieddine et al. 2012). Sustained exocytosis amounts to up to 70 Hz from each release site, of which about a dozen comprise the readily-releasable vesicle pool (RRP). This was demonstrated in mouse IHCs (Pangršič et al. 2010) and is to our knowledge one of the highest release rates per site described to date (Pangršič et al. 2012). This process requires very efficient means of clearing previously exocytosed membrane and proteins from the site followed by immobilization and priming of new vesicles for the next round of release. Moreover, the release of the neurotransmitter must exhibit both rapid ON and OFF kinetics to accurately follow acoustic stimuli with a periodicity of 1 ms or less (Kiang et al. 1965; Rose et al. 1967; Palmer and Russell 1986; Köppl 1997; Goutman 2012; Li et al. 2014).How the molecular machinery of IHC AZs meets these requirements is just starting to emerge. It is becoming clear that ultrastructural assessment of functional synapse states is required in addition to the powerful combination of molecular manipulation and physiological characterization. In this review, we will emphasize recent approaches coupling functional and structural investigations of release at the level of IHCs and their ribbon synapses, as well as recent findings regarding vesicular recycling after transmitter release.
The structure of the inner hair cell is set up for efficient signaling
How does the subcellular organization of sensory IHCs enable mechanotransduction and transmitter release at high rates? IHCs are epithelial cells by origin and exhibit several characteristics that distinguish them from neurons. Most notably, they show a strong polarization with respect to both long and short cell axes. The polarization along the apicobasal axis follows a clear compartmentalization, e.g., apparent by the hair bundle harboring the mechanotransduction apparatus of the apical membrane. Graded receptor potentials are formed by mechanoelectrical (apical) and voltage-gated (basal) conductances (Corey and Hudspeth 1979; Roberts et al. 1990). Actin-filled stereocilia protrude into the endolymph in a highly organized manner and their sophisticated supramolecular mechanotransduction apparatus enables ultrasensitive detection of sound-born vibrations of the cochlear partition (reviewed in Kazmierczak and Müller 2012). While the molecular identity of the mechanotransducer channel still awaits definitive demonstration, recent work indicates the transmembrane channel-like proteins (TMC)-1 and -2 as promising candidates (Pan et al. 2013). Opening of the apical mechanotransducer channels depolarizes the IHC, subsequently activating CaV1.3 Ca2+ channels (Platzer et al. 2000; Brandt et al. 2003; Dou et al. 2004) at the presynaptic AZ in the basolateral membrane, where the incoming Ca2+ triggers neurotransmitter release. The density of ribbon synapses shows a strong basoapical gradient, with the supranuclear portion of the hair cell being devoid of AZs (Francis et al. 2004; Meyer et al. 2009). In the apex, the cuticular plate likely serves as an anchor for the stereociliar actin bundles, containing a rich protein network with cytoskeletal proteins such as actin, α-actinin and tropomyosin (Slepecky and Chamberlain 1985; Zine and Romand 1993). Moreover, the striated organelle, located underneath the cuticular plate, likely modulates the stereociliar actin bundles (Vranceanu et al. 2012). Microtubules are primarily found beneath the cuticular plate (Slepecky and Chamberlain 1985; Steyger et al. 1989; Furness et al. 1990) but appear connected to cytoskeletal proteins in the cuticular plate, for example via Acf7a (actin crosslinking family protein 7a), as suggested for zebrafish neuromast hair cells (Antonellis et al. 2014). Microtubule bundles are mainly organized in the apicobasal direction (Furness et al. 1990), providing the mechanical strength of hair cells (Szarama et al. 2012) and tracks for efficient cargo protein trafficking along the apicobasal axis (Furness et al. 1990).In addition to the cellular apicobasal polarity, hair cells also show planar cell polarity, which is reflected in the orderly orientation of their hair bundles (reviewed in Ezan and Montcouquiol 2013; Sienknecht et al. 2014). Whether the basolateral organization of the hair cells is similarly instructed by planar cell polarity remains to be tested.In the next sections, we will focus on the organization of the basal portion of IHCs and discuss structure and function of hair cell ribbon synapses. Emphasis will be on the molecular machinery of the synapse, synapse development, synaptic heterogeneity and synaptic vesicle recycling.
Molecular anatomy and physiology of hair cell ribbon synapses
Phylogenetically, ribbons in sensory cells are old structures that occur not only in mammals but also in fishes, amphibians and birds. In the mammalian organ of Corti, they were first described by Smith and Sjöstrand (1961) and are found in both sensory cell types, i.e., IHCs and OHCs (Sobkowicz et al. 1982). The discovery of the protein RIBEYE, initially purified from bovine retina, (Schmitz et al. 2000), as the main and structure-yielding component of ribbons in rat photoreceptors (Schmitz et al. 2000), frog saccular hair cells (Zenisek et al. 2003), zebrafish photoreceptors and bipolar cells (Wan et al. 2005) and mouse cochlear hair cells (Khimich et al. 2005; see also immunogold labeling in Fig. 1a) highlights the conservation of the ribbon in vertebrate evolution (Schmitz 2009). Nonetheless, ribbons still vary greatly in size and shape (Lenzi and von Gersdorff 2001; Moser et al. 2006; Matthews and Fuchs 2010), likely reflecting structural adaptation to the specific needs of the respective synaptic connection for sensory coding.
Structural and functional maturation of inner hair cell ribbon synapses
During maturation of the organ of Corti, ribbon synapses and SGN fibers undergo drastic morphological changes. How do morphological alterations during the transition from a pre-hearing to a hearing state correlate to functional maturation of ribbon synapses? Generally, synaptic contacts are ultrastructurally defined as pre- and postsynaptic electron-dense membranes that are closely aligned. The postsynaptic density (PSD) is clearly visible as an electron-dense structure beneath the postsynaptic membranes directly juxtaposed to the presynaptic AZ. The innervation pattern of SGN fibers at hair cells within the immature rodent cochlea is significantly different from the mature configuration and massive rearrangements of the fibers that occur before the onset of hearing. Hereby, type I SGN fibers retract from the OHCs, whereas type II SGN fibers disappear from the IHCs (Perkins and Morest 1975; Echteler 1992; Simmons 2002). These developmental processes of fiber innervation take place in the first postnatal week in three distinct phases: (1) in E18-P0 animals, fibers of both afferent types extend towards all hair cells; (2) between P0 and P3 a refinement occurs, where the outer spiral bundle forms that innervate the OHCs; and (3) the type I fibers retract from the OHCs around P3–P6, accompanied by synaptic pruning, while they keep their projections on the IHCs (Huang et al. 2007). In line with SGN fiber type I retraction, AMPA-typed glutamate receptors and scaffold proteins like bassoon and shank1 disappear during the maturation process from OHCs. In contrast, at IHC afferent PSDs AMPA-receptors persist. GluA2/3 subunits remain stable throughout development and into adulthood, while GluA4 subunit expression significantly increase in adult type I fibers (Huang et al. 2012).Recently, the molecular arrangement of afferent synapses in relation to functional changes at the IHCs has been addressed in more detail using a combination of confocal, stimulated emission depletion (STED) and electron microscopy, as well as IHC presynaptic physiology and computational modeling (Wong et al. 2014). It is known that, in the early pre-hearing stages between P6 and P9, several small apposing pre- and postsynaptic densities mark nascent synapses. Some of the presynaptic densities are occupied by synaptic ribbons, which are small and round in shape and attached via two triangular-shaped proteinaceous anchors (Sobkowicz et al. 1982; Wong et al. 2014). However, floating ribbons were also frequently observed in close proximity to AZ areas at these developmental stages (Wong et al. 2014). Serial 3D electron microscopic reconstructions corroborated the notion of several discontinuous pre- and postsynaptic specializations. Such synaptic sites are organized as loose suprastructures on the bouton surface and are likely functional, as immunohistochemistry indicates the presence of presynaptic Ca2+ channels and postsynaptic AMPA receptors (Wong et al. 2014). STED microscopy, which enables resolution below the diffraction limit (Klar et al. 2000; Hell 2007), revealed that CaV1.3 channels are arranged in small round spots (Wong et al. 2014) rather than the stripes previously described for mature AZs (Frank et al. 2010; see also Fig. 1d’). In addition, a huge number of extrasynaptic CaV1.3 channels can be observed in immature IHCs (Zampini et al. 2010; Wong et al. 2014), which enable the cells to fire Ca2+ action potentials (Kros et al. 1998; Brandt et al. 2003). These action potentials evoke exocytosis in the pre-hearing stage (Beutner and Moser 2001; Glowatzki and Fuchs 2002; Johnson et al. 2005) but show lower ‘Ca2+ efficiency’ (Beutner and Moser 2001; Brandt et al. 2003; Johnson et al. 2005) and a supra-linear Ca2+ dependence (Johnson et al. 2005). The pre-sensory IHC activity appears to drive bursting activity in the developing auditory system (Glowatzki and Fuchs 2002; Tritsch et al. 2007, 2010; Wong et al. 2013; Clause et al. 2014). In this context, the regulation of presynaptic firing by paracrine and/or efferent synaptic control is being subject to intense research (Glowatzki and Fuchs 2000; Tritsch et al. 2007; Johnson et al. 2011; Sendin et al. 2014). Efferent innervation, moreover, seems to play an important role in the maturation process of IHCs (Glowatzki and Fuchs 2000; Marcotti 2004; Goutman et al. 2005). Efferent fibers originate from the superior olivary complex and, before onset of hearing, form transient axosomatic contacts with IHCs (Simmons et al. 1996; Katz et al. 2004). Later, they largely retract from IHCs and rather form axodendritic contacts to the afferent terminals (Pujol et al. 1998). The transient efferent inhibition is thought to counteract the IHC depolarization resulting from the resting mechanotransducer current (Géléoc and Holt 2003; Waguespack et al. 2007; Lelli et al. 2009). Upon genetically induced impairment of the efferent input, the linearization of Ca2+ dependent exocytosis is affected (Johnson et al. 2007) and the maturation of IHC afferent synapses is also disturbed (Johnson et al. 2013b). Around the onset of hearing (at around P11; Mikaelian and Ruben 1965), when graded receptor potentials start governing transmitter release, extrasynaptic CaV1.3 channels get pruned and spatial coupling of Ca2+ channels and vesicular release sites is tightened. This leads to an increase of the ‘Ca2+ efficiency’ of exocytosis and a near-linear Ca2+ dependence of RRP exocytosis when probed with changes in the number of open Ca2+ channels (Wong et al. 2014). Therefore, while the intrinsic Ca2+ dependence of exocytosis apparently does not change upon the onset of hearing, experimental data and biophysical modeling of exocytosis at mature and immature AZ topographies support the notion of a developmental switch from the more ‘Ca2+ microdomain-like control’ of exocytosis by several Ca2+ channels per vesicle to a more ‘Ca2+ nanodomain-like control of exocytosis’ (Wong et al. 2014; Fig. 1e, e’). Interestingly, in adult gerbils, the open probability of Ca2+ channels in IHCs increased due to a preference of the Ca2+ channel for the bursting mode (Zampini et al. 2013).Structurally, alongside Ca2+ channels, other presynaptic AZ components become reorganized such as the bassoon containing presynaptic density (Fig. 1d). These alterations are accompanied by changes of the postsynaptic glutamate receptor fields that also develop to one continuous ring-like cluster (Wong et al. 2014). Moreover, ribbons increase in size and undergo striking changes of shape. At the ultrastructural level, their cross-sectional shape changes from predominantly round (Fig. 1a’) to a rather oval-, droplet- or wedge-like shape between P14 and P20 (Wong et al. 2014; Fig. 1b) and ribbon architecture extends in the longitudinal direction (Sobkowicz et al. 1982; Wong et al. 2014) likely by gaining additional ribbon material. The two rootlets seem to merge to a continuous presynaptic density that contains the scaffolding protein bassoon, as revealed by immunogold labeling (Wong et al. 2014; Fig. 1d). Shortly after onset of hearing at P14, a large proportion of ribbons with two rootlets can still be found, whereas about a week later the morphological maturation appears to be completed (Wong et al. 2014, see, for summary, Fig. 1f). Factors that participate in the maturation of IHC synapses, next to the efferent olivocochlear transmission (see above; Johnson et al. 2013a), are thyroid hormone (Sendin et al. 2007) and myosin 6 (Heidrych et al. 2009; Roux et al. 2009). For both, a higher proportion of morphological immature ribbons have been observed in genetic deletion models.In conclusion, during development from pre-hearing to hearing, IHC ribbon synapses undergo major morphological and functional refinements, resulting in tighter spatial coupling between Ca2+ influx and exocytosis (Wong et al. 2014).
Dynamics and heterogeneity of hair cell ribbon synapses
The number of Ca2+ channels, vesicular release sites and ribbon-associated vesicles seems to scale with the size and number of ribbons at the AZ (Martinez-Dunst et al. 1997; Frank et al. 2009; Graydon et al. 2011; Kantardzhieva et al. 2013; Wong et al. 2013, 2014). Strengthening of presynaptic transmitter release might therefore be accomplished by increasing ribbon or AZ size and/or ribbon numbers per AZ. Moreover, synaptic strength might be determined by the amount and distribution of postsynaptic AMPA receptors. Finally, lateral olivocochlear efferent fibers might modulate postsynaptic excitability and thereby affect afferent synaptic strength. To establish which of these mechanisms contribute to determining and regulating synaptic strength of hair cell synapses awaits further structural and functional characterization.Interestingly, the size and shape of ribbons appear to be highly variable and dynamic. In fact, in photoreceptors, these parameters strongly correlate with activity in light (silent) or dark (active) conditions (Spiwoks-Becker et al. 2013). Similarly, in IHCs, a diverse spectrum of ribbons has also been observed (Bodian 1978; Sobkowicz et al. 1982; Merchan-Perez and Liberman 1996; Wong et al. 2014). The specific ultrastructural properties seem to depend on several factors: (1) the maturation/age (see section above), (2) position within the inner hair cell and maybe also (3) dynamic adaptation to activity. A pioneering study in cats was one of the first to identify the correlation between structural heterogeneity of ribbon synapses and functional characteristics of auditory nerve fibers (Merchan-Perez and Liberman 1996). Surprisingly, large AZs with big and/or several ribbons, supposedly reflecting large presynaptic strength, seem to drive SGNs with low spontaneous rate and high thresholds (see also scheme in Fig. 2a). Whereas this conundrum remains unsolved, the mechanisms of functional presynaptic heterogeneity are now beginning to be understood. Evidence for such heterogeneity within individual IHCs was obtained using confocal imaging of presynaptic Ca2+ influx (Frank et al. 2009; see also Fig. 2b, b’). This study showed that presynaptic Ca2+ signals varied substantially in amplitude and voltage-dependence among the AZs within individual IHCs. The amplitude of the Ca2+ signal scaled with ribbon size as approximated by simultaneous imaging of a fluorescently tagged RIBEYE-binding peptide (Frank et al. 2009) and seemed to be greater at the neural side of the IHCs (Meyer et al. 2009). Linking such estimates to the functional and morphological properties of the postsynaptic neurons will be an important task for future studies. So far, correlative arguments based on coincidental changes in maximal strength of presynaptic Ca2+ influx and postsynaptic spiking during development and upon genetic disruption as well as modeling have been brought forward to argue that strong synapses drive SGNs that have high spontaneous rates and low thresholds (Wong et al. 2013). Interestingly, an inverse correlation of pre- and postsynaptic parameters of synaptic strength has recently been reported for mouse IHCs: Liberman et al. (2011) suggested that synapses with many AMPA receptors exhibit small ribbons. The authors favored the interpretation that the SGNs inserting at the neural (modiolar) face of IHCs exhibit low spontaneous rates and high thresholds despite their corresponding large IHC AZs, because they have a smaller complement of AMPA receptors than those at the neural (pillar) side. This would agree with the conclusion of the classical study, which showed a neural–abneural gradient of AZ size using electron microscopy for cat IHCs whereby large AZs faced SGNs with low spontaneous rates and high thresholds (Merchan-Perez and Liberman 1996). In a laborious approach, the authors traced 11 functionally-characterized fibers to the IHCs using serial 3D reconstructions of ultrathin sections. In this way, it was possible to directly correlate morphological parameters such as ribbon length, fiber contact area, synaptic plaque area and synaptic vesicle numbers to the functional parameters determined prior to fiber labeling using single unit recordings. Recently, such a gradient was also suggested for mouse IHCs and reported to be influenced by the lateral olivocochlear innervation (Yin et al. 2014). The segregation of nerve fibers on neural and abneural sides was further observed in a study investigating the abundance of mitochondria in postsynaptic terminals. Here, postsynaptic boutons facing the abneural side seem to harbor more mitochondria (Francis et al. 2004). Monitoring EPSCs from single afferent boutons, which is a suitable method to address synaptic function on the level of individual release sites (Glowatzki and Fuchs 2002), further showed differences among synapses. In these experiments, varying fractions of multiphasic EPSCs were observed and proposed to underlie the diverse firing properties of SGNs (Grant et al. 2010).
Tight coupling between exo- and endocytosis is a prerequisite for maintaining the enormous vesicle turnover rates at ribbon synapses. The underlying mechanisms of endocytosis in IHCs are just starting to become uncovered. Clathrin-coated structures but also large cisterns without clathrin-coats, are observed close to synaptic ribbons (Siegel and Brownell 1986; Sendin et al. 2007; Frank et al. 2010; Kantardzhieva et al. 2013; Neef et al. 2014; Revelo et al. 2014). Kantardzhieva et al. (2013) set out to determine whether such cisterns participate in vesicle reformation and what differences can be observed in correlation to the functional properties of high and low spontaneous rate fibers (Fig. 2c, c’, d, d’). An extensive quantitative analysis of ribbons, vesicles and cisterns from serial sections of cat IHC ribbon synapses suggested a ‘sphere of influence’ of 350 nm around the ribbon (Kantardzhieva et al. 2013). Here, fewer cisterns and more synaptic vesicles are found, which indeed points towards a contribution of cisterns to locally restricted vesicle formation. Other studies used membrane capacitance measurements to provide an initial functional assessment of endocytic membrane retrieval at IHC AZs (Moser and Beutner 2000; Beutner and Moser 2001; Neef et al. 2014). Moreover, pH-sensitive GFP (pHluorin; Miesenböck et al. 1998) targeted to the intraluminal face of vesicle membranes by attachment to vesicular glutamate transporters (Zhu et al. 2009) has become an important tool in studying exo- and endocytosis, not only from neurons but also IHCs (Neef et al. 2014; Revelo et al. 2014). Additionally, a novel membrane tracer specifically tailored to use in the organ of Corti has been devised and applied to investigate endocytosis (Revelo et al. 2014), as the commonly used styryl dye FM1-43 penetrates stereociliar mechanotransduction channels and hence is of limited use to study endocytosis, in IHCs (Gale et al. 2001; Kamin et al. 2014; Revelo et al. 2014). To date, expression analysis and immunohistochemistry have revealed the presence of several important molecular players of endocytosis such as dynamins, amphiphysin, clathrin (Neef et al. 2014) and adaptor protein 2 (AP-2) (Duncker et al. 2013) in IHCs. A very recent DNA microarray study investigating IHC and OHC transcriptomes might even give more insight into proteins involved in vesicle recycling (Liu et al. 2014).Currently, in IHCs, three distinct mechanisms are considered to mediate endocytosis: slow CME, fast bulk endocytosis and potentially kiss-and-run or ‘ultrafast’ endocytosis (Neef et al. 2014). CME is the main pathway of membrane retrieval for mild stimulation and proceeds at a constant rate; it represents the linear component of endocytosis following exocytosis of the RRP (Fig. 3a). This mechanism is not only inhibited by the clathrin-inhibitor pitstop-2 but also by disruption of dynamin 1 via pharmacological and genetic means (Neef et al. 2014). None of these manipulations seem to affect exocytosis. In contrast, a different study reported inhibition of sustained exocytosis by the presumptive dynamin inhibitor dynasore but did not investigate endocytic membrane retrieval (Duncker et al. 2013). Finally, when exocytosis exceeds three to four RRP equivalents, IHCs additionally recruit a faster mode of membrane retrieval, which proceeds with an exponential time course within a few seconds. It has been proposed to represent bulk endocytosis (Neef et al. 2014; Fig. 3a’) and, indeed, there is plenty of evidence for the invagination and fission of large stretches of plasma membrane in the vicinity of hair cell AZs (Lenzi et al. 2002; Frank et al. 2010; Pangršič et al. 2010; Kamin et al. 2014; Neef et al. 2014; Revelo et al. 2014). Both mechanisms seem to engage in different phases of release: CME supports vesicle cycling during mild stimulation but bulk endocytosis finally occurs after prolonged stimulation, providing a mechanism that assures the balance between exo- and endocytosis in IHCs and thus, assures high release rates (Neef et al. 2014).
Recently, major progress has been made towards dissecting the molecular anatomy and physiology of hair cell ribbon synapses. This includes powerful single synapse techniques such as (1) patch-clamp of postsynaptic afferent terminals of SGNs, (2) high resolution -functional imaging of presynaptic IHC Ca2+ dynamics and membrane turnover, as well as (3) super-resolution light microscopy and electron tomography following high-pressure freezing. However, in order to investigate the release mechanisms of IHCs and firmly correlate structure and function, the development of new functional and morphological approaches is required. Functional and morphological analysis of single synapses will be necessary and some questions require reading out both pre- and postsynaptic properties at the same time. The commonly used K+ stimulation of cochlear tissue likely mimics strong physiological steady-state stimulation. But this stimulation does not provide the temporal resolution to allow the observation of the release kinetics at IHC ribbon synapses. Especially, knowledge about short-term plastic changes is lacking, since it is not possible to apply very short stimuli (i.e., millisecond range) and investigate the cells during and at defined times after stimulation. Therefore, approaches are needed that meet two requirements: (1) a precise stimulation protocol combined with (2) rapid immobilization of the sample, e.g., by using high-pressure freezing. One emerging tool that promises to fulfill these requirements is the combination of optogenetic stimulation with high-pressure freezing. This could involve the expression of a light-sensitive ion channel such as channelrhodopsin-2 (ChR-2) from the green algae Chlamydomonas reinhardii (Nagel et al. 2003) in hair cells and stimulation would ideally be performed within a chamber that should be mounted in a freezing machine in order to minimize the time delay before freezing. Such optogenetic investigations of synapses combined with electron microscopy have been emerging. Recently, synaptic recovery of motoneurons from C. elegans was analyzed using optogenetic stimulation in combination with high-pressure freezing (Kittelmann et al. 2013). Moreover, after a single light stimulus, docked vesicles fused along a broad AZ on C. elegans motoneurons expressing ChR-2. These vesicles were replenished with a time constant of about 2 s. Further, endocytosis occurred within 50 ms adjacent to the dense projection and after 1 s adjacent to adherens junctions (Watanabe et al. 2013a). Moreover, a study on optically stimulated cultured hippocampal neurons revealed an ultrafast endocytosis mechanism at central synapses (Watanabe et al. 2013b). These initial experiments indicate that optogenetics, in combination with high-pressure freezing (‘flash and freeze’; Watanabe et al. 2013b) and subsequent electron tomography, might provide sufficient resolution to study the ultrastructure of spatiotemporally defined functional states and thus provide a completely new view on the release mechanism of IHC ribbon synapses.
Authors: Florin Vranceanu; Guy A Perkins; Masako Terada; Robstein L Chidavaenzi; Mark H Ellisman; Anna Lysakowski Journal: Proc Natl Acad Sci U S A Date: 2012-03-06 Impact factor: 11.205
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