SUMMARY
In non-neuronal cells, clathrin has established roles in endocytosis, with clathrin-cages enclosing plasma-membrane infoldings, followed by rapid disassembly and reuse of monomers. However, in neurons, clathrin is conveyed in slow axonal transport over days to weeks, and underlying transport/targeting mechanisms, mobile cargo-structures – and even its precise presynaptic localization and physiologic role – is unclear. Combining live-imaging, photobleaching/conversion, mass-spectrometry, electron-microscopy and super-resolution, we found that unlike dendrites where clathrin-cages rapidly assemble and disassemble; in axons, clathrin and related proteins organize into stable ‘transport-packets’ that are unrelated to endocytosis and move intermittently on microtubules, generating an overall slow anterograde flow. At synapses, multiple clathrin-packets abut synaptic-vesicle (SV) clusters, and clathrin-packets also exchange between synaptic boutons in a microtubule-dependent ‘superpool’. Within synaptic boundaries, clathrin is surprisingly dynamic, continuously exchanging between local clathrin-assemblies, and their depletion impairs SV-recycling. Our data provide a conceptual framework for understanding clathrin trafficking and presynaptic targeting that has functional implications.
In brief:
Clathrin helps maintain synaptic homeostasis, but it’s unclear how it gets to synapses. Ganguly and Sharma et al. show that clathrin assembles into stable transport-packets in axons that are trapped upon reaching synapses, where packets radially organize around synaptic-vesicle clusters. Synaptic clathrin-packets are dynamic, and their depletion impairs synaptic function.
Graphical Abstract
INTRODUCTION
The cytosolic protein clathrin is an established player in endocytosis. During this process, soluble clathrin is recruited to the inner plasma-membrane, forming clathrin-coated pits and vesicles. After vesicle internalization, the clathrin coat is rapidly removed by uncoating proteins, and the released clathrin monomers are reused for subsequent rounds of endocytosis. Clathrin-mediated endocytosis (CME) has been studied for over forty years, and a host of adapters and regulators are known. Clathrin also plays roles in sorting of intracellular membranes, although this is less studied (Jung and Haucke, 2007; Dittman and Ryan, 2009; McMahon and Boucrot, 2011; Traub and Bonifacino, 2013).
In neurons, clathrin synthesized in cell-bodies is transported into axons – enriching at presynapses – and previous in vivo pulse-chase radiolabeling studies have established that clathrin is conveyed in slow axonal transport, taking days to weeks in reaching axon terminals (Black et al., 1991; de Waegh and Brady, 1989; Elluru et al., 1995; Garner and Lasek, 1981; Gower and Tytell, 1987). Slow transport is a poorly defined rate-class carrying cytosolic (or soluble) and cytoskeletal proteins to the axon-tips and presynaptic terminals – unlike fast vesicular cargoes that are rapidly transported in minutes to hours [reviewed in (Maday et al., 2014; Roy, 2014, 2020)]. Although radiolabeling techniques established the overall movement of clathrin in slow transport, these methods could not visualize the movement, and many questions remain.
How can clathrin undergo organized slow axonal transport, given the ephemeral nature of cytoplasmic clathrin-assemblies? Indeed, previous studies in cultured hippocampal neurons showed rapid on/off behavior of GFP:clathrin puncta in dendrites, lasting only for seconds, consistent with CME (Blanpied et al., 2002; Rosendale et al., 2017). While clathrin may organize into longer-lasting assemblies for slow transport, no such structures have been described. How is clathrin targeted to presynapses and retained there? What is its nanoscale organization at synapses? What is the dynamic behavior of clathrin at the synapse, and can this offer insight into function? Though clathrin is involved in retrieving SVs from the presynaptic plasma-membrane (Heuser and Reese, 1973; Royle and Lagnado, 2010; Saheki and De Camilli, 2012), newer studies argue that clathrin acts downstream of endocytosis – in the regeneration of new SVs (Chanaday et al., 2019; Chanaday and Kavalali, 2018; Milosevic, 2018) – and a better understanding of the precise localization and dynamic behavior of clathrin may offer a fresh perspective.
Recent studies from us and others using cultured neurons as a model-system – to visualize and manipulate slow axonal transport – have begun to offer some answers into mechanisms (Chakrabarty et al., 2019; Ganguly et al., 2017; Scott et al., 2011; Tang et al., 2013; Twelvetrees et al., 2016). Here, we report previously unknown long-lasting axonal assemblies of clathrin and associated proteins that are unrelated to endocytosis and specialized for cargo-delivery. We also found a striking radial organization of clathrin around – but not within – SV-clusters, and a microtubule-dependent clathrin superpool that may be distinct from the known actin-dependent SV-superpool (Darcy et al., 2006). Though the transported axonal clathrin-packets are stable, surprisingly, they become dynamic upon entering – exchanging clathrin molecules with local synaptic clathrin – and depletion of clathrin-packets from boutons impairs SV-recycling. Collectively, the data advocate new models for trafficking and targeting of clathrin and related proteins, with implications for synaptic function.
RESULTS
Discrete clathrin transport-packets move intermittently in slow axonal transport
Although the overall appearance of clathrin-puncta in cultured neurons seems similar in somatodendritic and axonal compartments by immunostaining (Fig. 1A), their dynamics were different. To visualize clathrin in living neurons, we used GFP (or mCherry) tagged to the N-terminus of clathrin light chain-A (CLC) – a structurally and functionally active fusion protein (Gaidarov et al., 1999) used in other studies (Blanpied et al., 2002; Mueller et al., 2004; Pelassa et al., 2014; Rosendale et al., 2017; Zhao and Keen, 2008). All live imaging of axons was performed between 8–10 days in vitro (DIV), and synapses were imaged between 13–21 DIV – a time when synapses are established in our cultures. As reported previously (Blanpied et al., 2002; Rosendale et al., 2017), GFP:CLC showed largely on/off dynamics in dendrites, reflecting transient recruitment of clathrin to coated-pits in kymographs (Fig. 1B; also see Supp. Movie 1). However, axonal GFP:CLC particles were long-lasting, and ~ 40% were motile; moving with an overall anterograde bias (Fig. 1C–E, also see Supp. Fig. 1A and Supp. Movie 2). Where visible, moving clathrin particles did not colocalize with transported vesicles (Supp. Fig. 1B). To distinguish moving axonal clathrin structures from dendritic clathrin-coated pits and other endocytosis-related clathrin structures, here we call them clathrin ‘transport-packets’.
Previously, we developed an assay to visualize the anterogradely-biased transport of cytosolic cargoes moving in slow transport (“intensity-center shift assay”; see Roy et al., 2012; Scott et al., 2011). Here, cultured neurons are transfected with photoactivatable (or photoconvertible) probes tagged to the cytosolic protein of interest, and a discrete region of interest (ROI) in the axon-shaft is photoactivated/photoconverted (schematic in Fig. 1F). Thereafter, a line is drawn along the long-axis of the axon including the photoactivated/photoconverted ROI, and the intensity-center (or centroid) shift of the fluorescence in the ROI is monitored over time. While untagged photoactivatable GFP (PAGFP) rapidly diffuses without any centroid-shift, cytosolic proteins disperse with a slow anterogradely-biased centroid-shift; consistent with slow transport (Chakrabarty et al., 2019; Ganguly et al., 2017; Scott et al., 2011; Tang et al., 2012; Tang et al., 2013; Twelvetrees et al., 2016). A kymograph from these experiments is shown in Fig. 1G, along with the ensuing raw and ensemble data (Fig. 1H–I). Note that PAGFP:CLC – but not soluble, untagged PAGFP – has an overall anterograde bias with a predicted average rate of ~ 0.006 μm/s or ~ 0.5 cm/day, in line with overall rates of slow transport in radiolabeling studies (Garner and Lasek, 1981). Similar results were obtained with a photoconversion assay where we first visualized green Dendra2:CLC puncta in axons and then photoconverted them to red (Fig. 1J). Collectively, the data indicate that the intermittent movement of axonal clathrin transport-packets generates an overall anterograde bias of the clathrin population, at rates consistent with slow axonal transport.
Motility of clathrin transport-packets is independent of endocytosis
The persistence and biased movement of the transport-packets suggest that clathrin is conveyed as a unique structure that is specialized for axonal transport, with no role in endocytosis. To test this idea, we asked if inhibition of endocytosis would also affect the motility of axonal transport-packets. First, we globally suppressed endocytosis in cultured neurons using Dynasore – a small-molecule inhibitor of dynamin (Das et al., 2013; Macia et al., 2006). We also specifically inhibited clathrin-dependent endocytosis with CHC-T7-Hub, a clathrin heavy-chain dominant-negative mutant known to disrupt clathrin-dependent endocytosis (Bennett et al., 2001). As reported previously in non-neuronal cells, the CHC-T7-Hub mutant attenuated receptor-mediated endocytosis in cultured hippocampal neurons (Supp. Fig. 2A–B). The on/off dynamics of GFP:CLC in dendrites was essentially abolished in neurons treated with Dynasore (Fig. 2A), or transfected with the CHC-T7-Hub mutant (Supp. Fig. 2C–D). Interestingly however, neither Dynasore, nor the CHC-T7-Hub mutant had any effect on the mobility of axonal clathrin transport-packets (Fig. 2B–D). Since the motility of individual clathrin transport-packets generate the overall anterogradely-biased flow of the axonal clathrin population (see Fig. 1H), a prediction is that endocytosis-inhibition would not interfere with the slow transport of clathrin. Indeed, neither Dynasore nor the CHC-T7-Hub mutant had any effect on the biased transit of PAGFP:CLC in axons (Fig. 2E). Previous studies suggest that the slow transport of synapsin and dynein is microtubule-dependent (Scott et al., 2011; Twelvetrees et al., 2016). Low-levels of the microtubule-disrupting drug Nocodazole – that blocks vesicle transport, see Supp. Fig. 2F – also inhibited movement of clathrin transport-packets (Fig. 2F). Taken together, the data indicate that axonal clathrin transport-packets are unique conveyance structures; unrelated to endocytosis.
Structure of axonal clathrin transport-packets
What do the transport-packets look like? To visualize the ultrastructure of axonal clathrin, we tagged clathrin to Apex – an engineered peroxidase that acts as an electron-microcopy (EM) tag by catalyzing the polymerization and local deposition of diaminobenzidine (DAB); subsequently recruiting electron-dense osmium for EM contrast (Martell et al., 2012). Cultured neurons were transfected with Apex-GFP:CLC, fixed and incubated with DAB and H2O2 (see schematic in Fig. 3A and methods). Transfected neurons were visualized by GFP fluorescence and DAB-staining; dendrites and axons were identified by morphology; and the same neurons and processes were visualized by EM tomography (see Supp. Fig. 3 and “Methods”). As expected, coated pits and coated-vesicles were seen in soma and dendrites (Supp. Fig. 2B). However, axons contained intact clathrin-coated structures that were inside the axon-shaft, with no association with the axonal plasma membrane, as seen by EM-tomography (Fig. 3B–B”; also see 3-D view in Supp. Movie 3). The diameter of these clathrin-structures as determined by EM was ~ 50nm and ~125nm (inner spherical core and outer diameter with spokes respectively); consistent with previous cryo-EM studies of clathrin coated-vesicles (Heymann et al., 2013).
We also used DNA-PAINT, a single-molecule based super-resolution microscopy (Jungmann et al., 2014) to visualize the nanoscale organization of endogenous clathrin along axons. Axonal boundaries were determined by visualizing ß2-spectrin, a component of the submembrane periodic axonal scaffold [reviewed in (Leterrier et al., 2017)]. Unlike the tedious Apex EM-imaging process involving light/EM correlation of transfected axons, DNA-PAINT allowed us to visualize and characterize a large number (>500) of axonal clathrin structures. From 3D multicolor DNA-PAINT images of clathrin and ß2-spectrin, we generated 3D-renderings for the segmentation and measurement of axonal clathrin particles; some of which are likely to be mobile transport-packets (Fig. 3C). The average equivalent diameter of clathrin heavy-chain labeled packets was 43.3 +/− 0.5 nm (mean +/− SEM, 1294 packets) – consistent with the core-size of the structures seen in our EM data – and the average density was 7.6 +/− 0.5 packets/μm of axon (82 rendered axonal segments). Interestingly, most clathrin packets seen by super-resolution imaging were close to the β2-spectrin sheath, suggesting associations with the submembrane actin/spectrin scaffold (see cross-sections of axons in Fig. 3C and Supp. Movie 4). Given that the majority of axonal clathrin particles are immobile at any given time, we speculate that this may reflect anchoring of clathrin assemblies to the periodic actin/spectrin lattice.
Composition of axonal clathrin transport-packets
To define the composition of axonal clathrin, we immunoprecipitated (IP) clathrin from mouse sciatic axon fractions, followed by MUDPIT-MS [MultiDimensional Protein Identification Technology-Mass Spectrometry, (Liao et al., 2008; Yates et al., 2009)]; see protocol in Supp. Fig. 4A. A diverse group of cytosolic proteins were identified (Fig. 4A; see Supp. Table 1 for full list – also submitted in PRIDE database, PXD005011), and as expected, clathrin was one of the most abundant protein (Fig. 4B). 115 proteins were identified, and many were cytosolic proteins that are known to reside in synapses (Wilhelm et al., 2014). Network analyses showed that the axonal clathrin-interactome contained many cytoskeleton-associated proteins such as actin isoforms and myosins (Fig. 4A, dashed circle). Actin and clathrin have established anatomic and functional links in non-neuronal cells [reviewed in (Kaksonen et al., 2006)]. Previously, using a probe for filamentous actin (GFP tagged to the calponin homology domain of utrophin, GFP:Utr-CH), we found that axon-shafts have focal actin “hotspots” every ~ 3–4μm along its length, where actin assembles and disassembles continuously, and that these foci serve as a nidus for nucleation of actin filaments that elongate bidirectionally along the axon-shaft [“actin trails”, see (Ganguly et al., 2015)]. Interestingly, simultaneous imaging of GFP:Utr-CH and GFP:CLC showed that there was a striking colocalization of actin hotspots and stationary clathrin in axons, though the actin foci were much more short-lived as expected (Fig. 4C; Supp. Fig. 4B).
Network analyses also revealed that axonal clathrin was associated with proteins known to disassemble clathrin coated-pits (such as GAK, Hsc70, synaptojanin), as well as those linked to clathrin pit-formation (dynamin, AP-complex); see Fig. 4A. The presence of both assembly and disassembly proteins in MS-datasets is intriguing, as the transported clathrin-structure is clearly discrete. To test if candidate assembly/dis-assembly proteins from the M/S dataset are indeed co-transported with clathrin, we visualized the transport of mCherry:CLC with GFP-fusions labeling actin, GAK, AP180 and dynamin, using simultaneous two-color live imaging. A significant fraction of GAK was also co-transported with clathrin (Fig. 4D). Like clathrin, the dynamics of GAK in dendrites was also very different from axons. As shown in the kymograph in Supp. Fig. 4C, foci of GFP:GAK typically coincided with clathrin disassembly in dendrites, very different from the mixture of stationary and motile GAK particles seen in axons. Quantification showed that significant amounts of GAK, AP180 and dynamin were co-transported with clathrin (Fig. 4E). In previous proteomic studies, we identified Hsc70 as a regulator of the slow axonal transport of synapsin (Ganguly et al., 2017). However pharmacologic or genetic inhibition of Hsc70 had no effect on the axonal GFP:CLC motility (Supp Fig. 4D), suggesting that the mechanistic basis for the transport of the two slow-component cargoes – clathrin and synapsin – is different. Indeed, synapsin has an anterogradely biased diffusion-like flow in axons (Scott et al., 2011; Tang et al., 2013), while clathrin is conveyed as discrete, stable packets.
Nanoscale organization of synaptic clathrin
Clathrin is strongly enriched at presynaptic boutons and terminals, though its precise function at this locale has been controversial in recent years (Chanaday et al., 2019; Milosevic, 2018; Watanabe et al., 2013). By light microscopy, we noticed that the presynaptic localization of clathrin was not homogenous – like the classical vesicular or cytosolic synaptic markers synaptophysin or synapsin – but appeared as multiple puncta within a bouton. To pinpoint the spatial relationship of endogenous presynaptic clathrin to synaptic-vesicle clusters, we first visualized synapses and adjacent axons at nanometer resolution in 3-D, with two-color DNA-PAINT; using antibodies to clathrin and synapsin (latter to label SV-clusters, see methods for details). In the cropped axon and en-passant bouton shown in Fig. 5A (entire image in Supp. Fig. 5A), note that multiple clathrin particles (magenta) are abutting the SV-cluster (green). 3-D views (Fig. 5B and Supp. Movie 4) unequivocally show that clathrin particles are circumferentially organized around SVs, and rarely seen deep within the SV-cluster. Segmented rendering of the super-resolution data showed that each presynapse contains ~ 4–12 clathrin particles (Fig. 5C) that were on average ~ 43 nm in equivalent diameter (Fig. 5D), consistent with the size of clathrin assemblies seen in axon-shafts. The morphologic similarities between the axonal and presynaptic clathrin particles suggest that they are related to transport-packets, and hereafter we refer to them as synaptic clathrin-packets. The large number of synaptic clathrin-packets visualized by DNA-PAINT (>1200 packets from >100 synapses) also allowed us to explore their correlation with SV-clusters. The total volume of all clathrin-packets at a given synapse correlated with volume of the SV-cluster (Fig. 5E), suggesting putative links between clathrin-levels and SV-pools. Taken together, the data suggest that motile axonal transport-packets are targeted to presynapses, where they radially organize around SVs.
Though we were not able to confidently visualize the Apex-EM signal at synapses due to high background, we analyzed immuno-gold EM datasets collected by Dr. Tao-Cheng at NINDS/NIH (also see Tao-Cheng, 2020). As shown in the representative images (Fig. 5F), immuno-gold particles were mostly seen around SV-clusters, and some gold particles were associated with vesicular structures resembling endosomes and cisternae (asterisk in Fig. 5F2). Coated vesicles are rarely seen at synapses, as reported by previous EM studies (Heuser and Reese, 1973; Kononenko et al., 2014; Petralia et al., 2003; Tao-Cheng, 2020). Taken together, the super-resolution and immuno-EM data, along with previous studies, indicate that endogenous synaptic clathrin localizes at the periphery of SV-clusters, and the majority of synaptic clathrin is not in the form of coated-vesicles.
Clathrin-packets are captured and immobilized at synapses
To explore the dynamics of synaptic clathrin, we first visualized GFP:CLC at synapses with relatively high temporal resolution (5 frames/sec). Motile clathrin particles rapidly moved between boutons (average velocity 0.54 μm/s) and were often trapped at synapses (kymographs in Fig. 6A and Supp. Fig. 6A). A “pass/trap analyses” (see Supp. Fig. 6B and “Methods”) indicated that ~60% of the moving particles were retained at boutons for at least a minute (129 particles analyzed from 19 neurons, 3 separate cultures). Within a bouton, clathrin particles moved back and forth – seemingly constrained by the synaptic boundary – though they could exit (Fig. 6A’). Single synaptic GFP:CLC particles could only be tracked for a few seconds, suggesting instability (see photoconversion data later). Next, we used FRAP to bleach GFP:CLC in a single bouton and visualized fluorescence-recovery over time – reflecting the entry of unbleached fluorescent molecules from adjacent boutons/axons into the bleached-zone. As shown in Fig. 6B, there was a slow recovery of fluorescence over several minutes, and particles were frequently seen to enter the bleached bouton (best seen in Supp. Movie 5). Interestingly, FRAP of GFP:CLC fluorescence at boutons was qualitatively very different from GFP:synapsin. While recovery of clathrin was largely due to entry of discrete fluorescent structures – and was somewhat stochastic – synapsin FRAP was gradual and diffuse (Fig. 6C and Supp. Fig. 6C). Also, clathrin mobility in presynaptic boutons decreased over time in our cultures (Supp. Fig. 6D), likely due to synaptic maturation, reminiscent of the on/off behavior of GFP:CLC in dendrites, that also decreases with time (see Blanpied et al., 2002).
Fluorescence recovery of a freely-diffusing molecule is expected to be complete (see FRAP of soluble, untagged GFP in boutons; Fig. 6D - inset), and incomplete recovery reflects a bound, immobile pool that was unable to enter the bleached zone (Lippincott-Schwartz et al., 2003). While FRAP of both clathrin and synapsin was incomplete, clathrin had a much larger immobile fraction (Fig. 6D–E and Supp. Fig. 6E). A previous study in C-elegans found that endophilin – a soluble protein involved in endocytosis – showed diffusion-like mobility between synapses that was blocked when SV-recycling was perturbed (Bai et al., 2010); suggesting that the trafficking endophilin pool was generated locally after SV-recycling. Though the diffusion-like kinetics of endophilin is very different from the particle-movement of clathrin, it is possible that the inter-synaptic movement of clathrin is also dependent on endocytosis, and that the clathrin-packets are locally generated at the synapse. To test this, we performed clathrin FRAP experiments before and after adding Dynasore. Dynasore did not attenuate FRAP of clathrin; and unexpectedly, there was an increase in clathrin motility (Fig. 6F). One possibility is that blocking endocytosis might decrease the usage of clathrin-packets at synapses, allowing more packets to shuttle between synapses (perhaps also increasing their synaptic capture). Indeed, after Dynasore-treatment, there was an increase in the number of clathrin-packets exchanging between boutons – i.e. exported from one synapse and captured at another (Fig. 6G). Collectively, the data suggest that the “superpool clathrin-packets” are related to trafficking, and not generated at synapses following endocytosis. The increase in the synaptic capture after Dynasore also suggests that synaptic targeting of clathrin may be independent of its function at the synapse.
The morphology and dynamics of synaptic clathrin puncta suggest that axonal transport and subsequent presynaptic “trapping” of a discrete number of transport-packets may be the basis of clathrin enrichment at boutons. To further explore morphologic similarities between the transported clathrin and the clathrin localized at synapses, we asked if the total fluorescence of clathrin at individual boutons was an aggregate of integer-multiples of axonal puncta/transport-packets. Overlaid histogram-distributions of GFP:CLC fluorescence intensities in axons (green) and presynapses (red) are shown in Fig. 6H (left). Note that while GFP:CLC axonal intensities occupy a single-peak, synaptic GFP:CLC intensities are distributed as multiple peaks of higher intensities. Fig. 6H (middle) shows predicted fluorescence peaks of synaptic clathrin if they were integer-multiples of the axonal intensity peak (assumed as ‘x1’). From this analyses, single boutons are predicted to contain ~ 4–8+ clathrin-packets (Fig. 6H, right). A similar distribution of axonal and synaptic fluorescence was also seen for endogenous clathrin (Supp. Fig. 6F). Collectively, the data are consistent with a model where synaptic enrichment of clathrin is largely due to clathrin-packets shipped by slow axonal transport.
Dynamics of synaptic clathrin-packets
Next, we used photoconvertible clathrin to determine the fate of synaptic clathrin. Neurons were transfected with Dendra2:CLC (green to red photoconversion), and synaptic clathrin was identified by constitutive green fluorescence (see “Methods” for details). Dendra2:CLC in a single bouton was photoconverted to red, and both green (stable) and red (photoconverted) fluorescence was monitored over time. Photoconverted clathrin particles moved out of the synapse into the flanking axons, and were often trapped at adjacent boutons (Fig. 7A, also see Supp. Movie 6). Pass/trap analysis showed that ~ 67% of moving particles were trapped (see Supp. Fig. 6B and “Methods for details; 46 particles analyzed from 14 neurons; 3 separate cultures). The overall dispersion of clathrin from photoconverted boutons – determined by decay of red fluorescence over time – is shown in Fig. 7B. Previous studies have described a mobile vesicle superpool spanning multiple synaptic boutons and flanking axons, composed of vesicles that are available to synapses during stimulation (Darcy et al., 2006; Krueger et al., 2003; Staras et al., 2010); and pharmacologic experiments suggest that the SV-superpool is actin-dependent (Darcy et al., 2006; Ratnayaka et al., 2011). Though the kinetics of the clathrin particles in and around synapses resemble the vesicle-superpool, interestingly, the peri-synaptic motility of photoconverted Dendra2:CLC particles was microtubule – and not actin – dependent (Fig. 7C–D).
To explore the dynamics of individual synaptic-packets, we photoconverted a single Dendra-2:CLC packet within a bouton and visualized both stable (green) and photoconverted (red) fluorescence by live-imaging. Given the stability of the axonal transport-packets, we expected that the fluorescence would be stable in the photoconverted synaptic packet as well. Surprisingly however, the photoconverted synaptic packet lost fluorescence over tens of seconds, while the other clathrin-packets within the same bouton – identified by the stable green fluorescence – gained fluorescence over the same time-frame (Fig. 7E and Supp. Movie 7, more examples in Supp. Fig. 7A, A’). Clathrin exchange between synaptic packets was not seen in boutons from neurons fixed with paraformaldehyde (Supp. Fig. 7B). To quantify the aggregate data from these experiments, we compared the change of fluorescence in the photoconverted packet in a bouton to that of the non-converted (“dark”) packets within the same bouton (see basic principle in Fig. 7F schematic). If there was exchange, fluorescence would be lost from the photoconverted packet, and there would be a gain of fluorescence in the “dark” regions. As shown in in the graphs in Fig. 7F, fluorescence was lost from photoconverted packets in living neurons (left red bar) and gained in the non-photoconverted dark regions (left black bar). However, in fixed boutons, fluorescence was not lost from the photoconverted packet (right red bar, Fig. 7F), and there was little change of fluorescence in the non-photoconverted dark regions of the synapse (right black bar, Fig. 7F). Occasionally in axons, there was a mechanical dispersion of the axonal fluorescence due to other moving axonal packets that happened to cross the field of view (see Supp. Fig. 7C for an example). A side by side comparison of synaptic and axonal Dendra2:CLC photoactivation is shown in Supp. Fig. 7D. Collectively, the data suggest that though synaptic clathrin packets are derived from axonal packets, the dynamic behavior of the packets changes upon arrival at the synapse.
Physiologic role of clathrin-packets
Do the clathrin transport/synaptic-packets have a physiologic role at synapses? To address this, we designed a system to sequester clathrin-packets in the neuronal soma – depleting them from synapses – and then examined SV-recycling in the clathrin-depleted boutons using FM4–64; a red styryl dye that is selectively endocytosed into rapidly recycling SVs and has been widely used to evaluate synaptic function (Gaffield and Betz, 2006). Though previous studies have used shRNAs to deplete clathrin over several days, clathrin is required for Golgi-formation (Radulescu et al., 2007) and essential for survival (Bazinet et al., 1993). Thus we sought a more acute knockdown of clathrin, and also a method that depletes clathrin-packets from synapses. Towards this, we used the FKBP-Rapalog-FRB heterodimerization system, where proteins fused to FKBP or FRB dimerize upon adding Rapalog (Belshaw et al., 1996; Bentley et al., 2015; Kapitein et al., 2010; Robinson et al., 2010). We tagged FRB to GFP:CLC (FRB-GFP:CLC), and FKBP to the dynein-binding fragment of BicD2 (BicD2-FKBP +/− Tdtomato tag), a dynein cargo-adaptor that moves cargoes towards the minus-end of microtubules (Dienstbier and Li, 2009).
In our system, Rapalog would induce dimerization of GFP:CLC labeled clathrin-packets and BicD2, transporting them towards the minus-end of axonal microtubules and into the neuronal soma – thus depleting clathrin-packets from boutons (see schematic in Fig. 8A). Fig. 8B shows examples of neurons transfected with FRB-GFP:CLC and Tdt:BicD2-FKBP, with or without Rapalog. Note sequestration of GFP:CLC in neuronal cell-bodies and its depletion from synapses after incubation with Rapalog (Fig. 8C – quantified in Fig. 8D). Importantly, almost all of the transfected FRB-GFP:CLC co-assembles with endogenous axonal clathrin (Supp. Fig. 8A–B); thus sequestering FRB-GFP:CLC leads to a depletion of all synaptic clathrin in these experiments, including endogenous clathrin (see Fig. 8E). Neurons appeared healthy with normal axonal and dendritic arborizations after FKBP/FRB/Rapalog mediated clathrin sequestration for up-to 10h, and a live/dead assay (Liljebäck et al., 2019) showed no toxicity (Supp. Fig. 8C).
Next we evaluated SV-recycling in the clathrin-depleted boutons using FM-uptake protocols that specifically label the recycling pool [Cousin et al., 2018; see Fig. 8F and “Methods” – for discussion of various synaptic pools, see Denker and Rizzoli, 2010]. Incubation with Dynasore led to ~75% decrease in FM-uptake (Supp. Fig. 8D); and as shown in Fig. 8G, there was also a significant reduction in FM-dye uptake in the Rapalog-treated neurons (quantified in Fig. 8H – similar changes were seen at 37°C, Supp. Fig. 8E). Interestingly, though Rapalog treatment for 10h led to a greater attenuation of synaptic clathrin when compared to the 5h Rapalog-treatment (see Figs 8D–E and 8G – left graph), the extent of FM attenuation was similar at both 5h and 10h timepoint, suggesting that there may be a finite functional pool of synaptic clathrin, and the remaining pool might help maintain homeostatic protein-levels at this locale. Taken together, the data suggest that clathrin-packets at the synapse are involved in maintaining SV-recycling.
DISCUSSION
Our main findings are: i) clathrin and related proteins are conveyed in axons as stable coated structures (transport-packets) – moving intermittently on microtubules with an overall slow anterograde bias; ii) at synapses, most clathrin assemblies (synaptic-packets) localize to the periphery of SV-clusters, and despite morphologic similarities with transport-packets, most synaptic-packets lack a conventional coat; iii) mobile clathrin-packets shuttle between synapses in a microtubule-dependent superpool, and a significant fraction (~ 60%) of the moving clathrin is captured at boutons; iv) though axonal clathrin-packets are stable, synaptic clathrin-packets can exchange with other packets within a bouton; and v) depletion of synaptic clathrin-packets impairs SV-recycling.
A model for trafficking and presynaptic targeting of clathrin
The most straightforward model emerging from our data is that clathrin and related proteins are synthesized in the neuronal soma, where they are packaged into stable coated structures that are dedicated for transport – with no role in endocytosis. Transport-packets move intermittently on microtubules, and are conveyed to synapses with an overall anterograde bias in slow axonal transport. Upon reaching the synapse, the conventional coat on the packets is disrupted – perhaps due to the high concentration of uncoating proteins like Hsc70 at this locale (Ganguly et al., 2017) – allowing clathrin to dynamically exchange with other local packets. Thus, at synapses, clathrin molecules would either be associated with a synaptic-packet, or exchange between local packets. This metastable state would provide a labile local pool of clathrin that could be rapidly recruited for synaptic function, as needed. In this hypothetical model, clathrin would undergo a seamless transition from transport to function upon reaching the synapse, simply by dynamically shedding the coat on the transport-carrier.
Despite the dynamic exchange, our experiments strongly suggest that the synaptic clathrin is not freely diffusible as commonly believed. For instance, in photoconversion experiments (Fig. 7A), we only saw discrete clathrin particles leave boutons, and incubation with Nocodazole – that stalled the mobility of the synaptic clathrin-packets – did not lead to a loss of clathrin from the stalled structures over time (Fig. 7C), which would be predicted if this clathrin was freely diffusible. However, the precise structures on which the synaptic clathrin localizes is still unclear, though immuno-EM data suggest that some of the clathrin may be on cisternae/endosomes (Fig. 5F). Our M/S data and two-color live imaging also suggest that many proteins related to endocytosis are co-transported with clathrin, so once the transport-packets reach the synapse, perhaps they too would be available for performing their functions. Thus, conceptually, our model may have broad consequences for neuronal form and function.
Synapses have multiple integers of clathrin transport-packets (Fig. 6G), which is also consistent with our working model where clathrin trafficking and targeting are interconnected events. However, EM suggests that while axonal clathrin-packets are coated, most of the synaptic clathrin lacks a conventional coat. Previous studies have shown that clathrin coated-vesicles are infrequent in resting hippocampal synapses – for example in a recent detailed study, only ~5–10 coated-vesicles were seen per 100 presynaptic profiles (Tao-Cheng, 2020) – but it is clear that clathrin is abundant at synapses, obvious by routine immunostaining. Our live-imaging, super-resolution and EM data provide some clarity on this issue, showing that most of the synaptic clathrin: 1) is organized into discrete structures, and not as free monomers; and 2) does not resemble conventional clathrin-coated vesicles. Another prediction of our model is that during transport, the stable clathrin on axonal transport-packets would not be functionally available, which might be a way of preventing unwanted endocytosis along the axon shaft.
Clathrin Transport-Packets – a Carrier for Slow Axonal Transport
Though the phenomenon of cytosolic slow transport is established, the nature of transported cargoes has been puzzling. In previous imaging studies of other slow-component cargoes (like synapsin and CamKII), we saw transient mobile structures – lasting for a few seconds at best – that appeared to contribute to the overall anterograde movement (Roy, 2013; Scott et al., 2011), but the exact cargo-structure remained unclear. The discrete nature of axonal clathrin enabled us to examine the cargo-structure at a nanoscale level by 3D-EM and super-resolution, and clathrin is probably the first cytosolic cargo to be characterized in detail. Based on the overlapping of radiolabeled “peaks” in axons, previous studies hypothesized that common mechanisms were involved in slow transport [reviewed in (Roy, 2014, 2020)]. However, the synaptic dynamics of two slow transport cargoes clathrin and synapsin is very different (Fig. 6C), and an emerging theme in slow transport is the diversity in the nature and mechanisms of movement (Roy, 2020).
The structure of an axonal transport-packet resembles clathrin coated-vesicles. However, coated-vesicles are thought to be transient intermediates that deliver endocytosed vesicles – and their contents – either to Golgi/endosomes, or back to the plasma-membrane [reviewed in (Paraan et al., 2020)], while the transport-packets are clearly long-lasting and being delivered to distal synapses. Though previous studies in non-neuronal cells have described motile coated intermediates in the cytoplasm (Keyel et al., 2004; Puertollano et al., 2003; Rappoport and Simon, 2003; Rappoport et al., 2003a; Rappoport et al., 2003b), these seem different from the axonal transport-packets. First, the intermediates are described as large, pleomorphic tubulovesicular aggregates (Polishchuk et al., 2006; Puertollano et al., 2003); different from the ~40–50 nm uniform-sized structures we see in the axon (Fig. 3). Also, the clathrin in these moving intermediates is reported to “cycle on and off” – eventually fusing with early or late endosomes (Puertollano et al., 2003) – which is also different from the stable structures we see in axons. However, it is possible that the transported clathrin-packet is a stable form of specialized coated-vesicle dedicated to slow transport.
Alternatively, the transported structure might represent clathrin assemblies that are not around vesicles. Indeed, the lumens of clathrin transport-packets do not appear electron-dense (see Fig. 3B”); though only cryo-EM would be conclusive. Interestingly, “clathrin baskets” – clathrin cages with no vesicles inside – are routinely isolated from biochemical fractionations of bovine brains (Nandi et al., 1982), and in fact, comprise ~ 80% of the clathrin structures isolated in these preparations (Heymann et al., 2013). Clathrin baskets are thought to be artefacts, assembled in the homogenate during biochemical isolation (Heymann et al., 2013). However, given the long-lasting coated transport-packets we describe here, and the large combined relative-volumes that axons must occupy in brain homogenate preparations, it is conceivable that clathrin-baskets are actually axonal transport-packets. One caveat in our experiments is that our Apex-EM experiments cannot distinguish between transported and stationary clathrin in the axon.
Mechanistic implications of Clathrin Trafficking and Targeting
The movement of clathrin between presynaptic boutons resembles SV-superpools, that are thought to be an extension of local SV-pools (Staras et al., 2010). However, while the SV-superpool is dependent on actin dynamics, the “clathrin superpool” depends on microtubules (Fig. 7D) and may be a distinct superpool conveying endocytic (and perhaps other slow-component) proteins. Interestingly, the mobility of clathrin particles is also different from the soluble diffusive motion of endophilin (Bai et al., 2010), so it seems likely that there are many components to the superpool. Substantial evidence from our live-imaging, photobleaching and photoconversion experiments support the view that trafficking clathrin-packets are captured at synapses (Figs. 6–7), and their depletion causes functional deficits (Fig. 8); this it seems reasonable that the trafficking pool is critical for synaptic function. We posit that multiple synaptic clathrin-packets that may be “poised” to provide a pool of clathrin that would be locally available in the vicinity of SVs; thus speeding up SV-recycling. Previous studies suggest that clathrin may be locally translated at axons and synapses (Biever et al., 2020; Shigeoka et al., 2016), and our experiments do not exclude a possible role for local translation. The function of clathrin at synapses has been controversial in recent years, and clathrin has been proposed to play roles in SV biogenesis, particularly at physiologic temperatures (Delvendahl et al., 2016; Soykan et al., 2017; Watanabe et al., 2013). In that context, our key experiments were done at ~ 37°C, though our experiments cannot directly distinguish between the different models. Finally, the behavior of synaptic clathrin resembles the movement of soluble molecules within liquid condensates and may be conceptually related to the contemporary idea that SV-clusters have fluid-like properties (Milovanovic et al., 2018). Interestingly, recent studies in non-neuronal cells indicate that CME also relies on the formation of liquid condensates (Day et al., 2021; Witkowska and Haucke, 2021), and future experiments focused on these issues might bring more clarity.
STAR METHODS
RESOURCE AVAILABILITY
Lead contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Subhojit Roy (sroy@ucsd.edu).
Materials availability statement
Plasmids generated in this study are available from the Lead Contact without restriction.
Data and code availability
The MUDPIT-MS data are available in the supplemental information. Microscopy data reported in this paper will be shared by the lead contact upon request.
This paper does not report original code.
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
EXPERIMENTAL MODEL AND SUBJECT DETAILS
Animals
CD1 pups obtained from Charles River Laboratories (Cat#022-CD1) were used for preparing primary hippocampal cultures. Wistar rats were obtained from Janvier labs (France).
Primary cell cultures
For most experiments, hippocampal cultures were obtained from brains of postnatal (P0–P1) CD-1 mice and plated on MatTek glass-bottom dishes as described previously in detailed published protocols (Ganguly and Roy, 2014; Roy et al., 2012), in accordance with University of California guidelines. Briefly, MatTek dishes were coated with 100 μl of 1 mg/ml poly-d-lysine for 2 h at RT, washed thrice with ddH2O, and air dried before plating. Hippocampi from P0–P1pups were dissected in ice-cold dissection buffer (HBSS, 4.44 mM d-glucose, and 6.98 mM HEPES) and incubated in 0.25% Trypsin–EDTA at 37°C for 15 min. Following this, neurons were dissociated in plating media (10% FBS and 90% Neurobasal/B27; Life Technologies) by trituration. Neurons were plated at a density of 50,000 cells/100 μl (for FM4–64 experiments and clathrin imaging at en-passant boutons) and at 25,000 cells/100 μl (for all other experiments) of plating media. Neurons were maintained in Neurobasal/B27 media (supplemented with 2% B27 and 1% GlutaMAX) in an incubator at 37°C and 5% CO2 for 7–9 d before transfection. All the experiments on neuronal cultures were performed between 8–21 DIV. E18 rat hippocampal cultures were used for the DNA-PAINT experiments following standard protocols, and guidelines established by the European Animal Care and Use Committee (86/609/CEE) and local ethics committee (agreement D13–055-8) were followed.
METHOD DETAILS
DNA constructs, pharmacologic agents, neuronal cultures, transfections, and immunocytochemistry
The GFP:CLC (Gaidarov et al.,1999), pUC57-APEX (Martell et al., 2012) and Dendra2 constructs were obtained from Addgene [from the laboratories of Drs. James H. Keen (Thomas Jefferson University, PA), Alice Ting (Stanford University, CA) and Michael Davidson (Florida State University, Tallahassee, FL), respectively]. The PAGFP:CLC construct was subcloned from the PAGFP backbone (Patterson et al., 2002), a gift from Dr. Jennifer Lippincott-Schwartz (Janelia Farms Research Campus, Ashburn VA) by standard cloning. CHC-T7-Hub and T7-empty backbone (Liu et al., 1998) was a gift from Dr. Frances Brodsky (UCL, London, UK). The GFP:Utr-CH (Burkel et al., 2007), and synaptophysin:mCherry constructs (Gerrow et al., 2006) were gifts from Drs. William Bement (University of Wisconsin, Madison, WI) and Leon Lagnado (University of Sussex, Sussex, England, UK) respectively. pBa-Flag-BicD2-FKBP and pBa- Flag-tdTM-BicD2-FKBP constructs were from Gary Banker (Oregon Health & Science University, Portland, OR). FRB-GFP:CLC was generated by inserting GFP:CLC in pFRB-3myc-Rab5a plasmid by replacing Rab5a (Bentley et al., 2015). GFP:synapsin-1a (Gitler et al., 2004) was a gift from George Augustine (Nanyang University, Singapore). EGFP-AP180 (Bushlin et al., 2008), GAK-GFP (Massol et al., 2006) and pEGFP-C1-Dynamin (Song et al., 2004) were kindly gifted by Drs. Pamela Yao (National Institute on Aging-National Institutes of Health, Baltimore, Maryland), Tomas Kirchhausen Harvard Medical School, Boston, MA and Sandra Schmid (University of Texas Southwestern Medical Center, Dallas, Texas) respectively. Dynasore, Latrunculin A (Life Technologies) and Nocodazole were dissolved in DMSO and used at a final concentration of 80 μM, 100 nm and 10 μg/ml respectively. Swinholide A and Rapamycin analogue A/C heterodimerizer (Takara) were dissolved in ethanol and used at a final concentration of 100 nM respectively. The stocks of FM4–64 (Invitrogen), Advasep-7, Live-or-Dye NucFix™ Red (Biotium) were prepared in DMSO and used at a final concentration of 10 μM, 1 mM and 0.1x in PBS (manufacturers’ protocol) respectively. The glutamate receptor antagonists 6-cyano-7-nitroquinoxaline-2,3-dione (CNQX, TOCRIS bioscience), and D,L-2-amino-5-phosphonovaleric acid (AP5, TOCRIS bioscience) were used at 10 μM and 50 μM concentration respectively. Unless otherwise noted, all drugs were purchased from Millipore-Sigma and added to Hibernate E media (see below) prior to imaging. The Hsc70-D10N and control Hsc70 constructs were from N. Lamarche-Vane (McGill University, Montreal, Canada). The Hsc70 inhibitor VER155008 (Cat#3803; Tocris Biosciences) was dissolved in DMSO and used at a working concentration of 100 μM.
Neurons were transfected with the indicated fluorescent constructs (0.8 μg DNA for clathrin constructs, 1.2 μg of all others) at 7–9 DIV with either Lipofectamine 2000 (Life Technologies) or Calcium phosphate transfection kit (Promega) (Sharma et al., 2019). Live imaging of axons was performed between 8–10 DIV, and boutons were imaged between 13–21 DIV. As dictated by the experiment, neurons were co-transfected with soluble-GFP/soluble - mCherry/synaptophysin:DsRed to identify axons/dendrites/boutons. GFP:CLC transfected neurons selected for imaging had punctate clathrin appearance in dendrites, and axon regions imaged were more than 150 μm from the neuronal cell body. Boutons were selected >150 μm away from the soma on the basis of varicosities in the intensity along the axon and other morphological features typical of synapses (Wang et al., 2014).
For immunostaining, neurons were fixed in 4% paraformaldehyde/sucrose solution in 1x PBS for 10 min at room temperature, followed by extraction in 0.2% Triton X-100 for 10 min, and blocking in 1% bovine serum albumin/5% FBS for 2h at room temperature. To label endogenous clathrin, neurons were incubated overnight at 4°C with rabbit polyclonal antibody against clathrin heavy chain at 1:500 dilution. After washing the primary antibody with 1x PBS, neurons were blocked again for 30 min at room temperature, and incubated in goat-rabbit Alexa Fluor 594 (1:500) for 1h. for some experiments, GFP:CLC transfected neurons was stained with primary chicken polyclonal anti-GFP antibody (1:500) and secondary Alexa Fluor 488 (1:500). All primary and secondary antibodies were purchased from Abcam.
Live imaging, photobleaching, photoactivation, and photoconversion experiments
Most single-color live imaging experiments for axonal trafficking were performed on an Olympus IX81 inverted motorized epifluorescence microscope equipped with a CoolSNAP HQ2 camera (Photometrics). Two-color live-imaging was done either by simultaneous imaging of green/red channels using the Dual Cam imaging device (Photometrics) attached to two CoolSNAP HQ2 cameras (Olympus IX81), or by rapid sequential excitation of green/red LEDs (SPECTRA-X) on an inverted epifluorescence microscope (Eclipse Ti-E; Nikon) equipped with CFI Plan Apochromat VC 100× oil (NA 1.40; Nikon) objective, and an electron-multiplying charge-coupled device camera (QuantEM:512SC; Photometrics). A multi–band-pass filter (Chroma Technology Corp.) was inserted into the emission light path, and GFP/RFP images were obtained with precise subpixel registration. Before live-imaging, neurons were transferred to Hibernate media (Brainbits), supplemented with 2% B27, 2mM Glutamax, 0.4% D-glucose, 37.5 mM NaCl (Ganguly et al., 2017; Roy et al., 2012; Scott et al., 2011), and maintained at 35.5°C to 37°C for the duration of the experiments (Precision Control, Weatherstation or a heated stage chamber, model STEV; World Precision Instrument, Inc.). Axons were identified by morphology, and only neurons with unambiguous morphology were selected for imaging (Roy et al., 2012; Scott et al., 2011). For experiments in Fig. 1, GFP:CLC, neurons were either imaged every 0.7 s for several minutes, or PAGFP:CLC was photoactivated with 405 nm LED light for 1 s, and imaged every 1.2 s. Dendra2:CLC was photoconverted by 405 nm LED light for 3 s, and imaged every 1.2 s. Synaptophysin:GFP was imaged using the stream acquisition function (MetaMorph) at 5 frames/s (with no time interval between images). For imaging en passant boutons, 13–21 DIV neurons were co-transfected with synaptophysin:dsRed/sol-mCherry and GFP:CLC/GFP:Synapsin, and boutons were identified based on size of the synaptic vesicle cluster and morphology (Wang et al., 2014). Boutons along the primary axon, >150 μm from the soma and <7um apart from the each other were selected for imaging. Additionally, for the GFP:CLC live-imaging of en-passant boutons and intervening axonal-segments, boutons expressing >2 clathrin packets were selected and imaged at every 0.2s (rapid imaging) for several minutes.
The clathrin photoactivation and photoconversion experiments in Fig. 1 were done using a setup that has been described previously in detail (Roy et al., 2012). All other photobleaching and photoconversion experiments were done on the Nikon set-up described above, using Andor Mosaic3 Digital Micromirror Device (DMD) attached to a 405 nm diode laser (450 mW). All synaptic photobleaching and photoconversion experiments were done on DIV-13–14 neurons – a time when synapses are established in our post-natal cultures. For photobleaching, en passant boutons were bleached using the 405 nm laser (5 consecutive pulses of 1.5s each), and imaged at every 2s for several minutes. For photoconversion, Dendra2:CLC at boutons was photoconverted by pulsing the 405 nm laser for 1 sec, and boutons were imaged at 2s time-intervals for several minutes. For the single clathrin-packet experiments, boutons were imaged every 1s for several minutes. All movies were analyzed using kymographs generated with a built-in function in MetaMorph (Molecular Devices, LLC). Photoactivation and photoconversion data was analyzed using the intensity-center/bin-center shift method described previously in several publications from our group (Chakrabarty et al., 2019; Ganguly et al., 2017; Roy et al., 2012; Scott et al., 2011; Tang et al., 2013). All statistical analysis was performed using Graph Pad Prism (Graph Pad Software, San Diego, CA).
Rapamycin-inducible FKBP-FRB dimerizer and FM4–64 assays
Primary hippocampal neurons were co-transfected with the FRB-GFP:CLC and FKBP-BicD2 (+/− Tdtomato-tagged) constructs. Experiments were performed on 9–15 DIV neurons. Live neurons were incubated with 100 nM Rapalog for indicated times. Subsequently, neurons were either used for FM4–64 uptake assay or fixed for immunocytochemistry. Viability of neurons was evaluated using dead cell stain (Live-or-Dye NucFix™ Red), following the manufacturers’ protocol. In brief, after the FKBP-FRB experiment, live neurons were incubated with the stain (0.1x in PBS) for 10 mins at 37°C. Thereafter, neurons were washed with PBS and imaged in HELF media at 37°C. For positive controls, neurons were treated with 0.01% Triton for 1 min before staining. For the FM4–64 uptake assay, we used a protocol specifically optimized to evaluate CME (Cousin et al., 2018). Briefly, neurons were washed with imaging buffer (2.5 mM KCl, 136 mM NaCl, 1.3 mM MgCl2, 2 mM CaCl2, 10 mM glucose, 10 mM HEPES) followed by 30 s incubation in high potassium stimulation buffer (50 mM KCl, 86 mM NaCl, 1.3 mM MgCl2, 2 mM CaCl2, 10 mM glucose, 10 mM HEPES) containing 10 μM FM4–64. Thereafter, neurons were washed with imaging buffer containing 10 μM FM4–64 for 90s. Finally, neurons were washed with Imaging buffer containing 1mM Advasep-7 for 2 min and imaged. All experiments were done at room temperature, with pH of all buffers adjusted to 7.4, and supplemented with 10 μM CNQX, 50 μM DAP-5. For some experiments, neurons were preincubated with 80 μM Dynasore before FM4–64 uptake.
Biochemical fractionation, western blotting and immuno-precipitation from mouse sciatic nerves
In vivo biochemical assays were adapted from protocols described earlier by (Das et al., 2013; Ganguly et al., 2017; Scott et al., 2011; Tang et al., 2012). Briefly, sciatic nerves were dissected from 6–8-wk-old mouse CD1 (WT) mouse. 64 sciatic nerves were pooled for each round of immune-precipitation (IP) and crushed in liquid nitrogen using a motor pestle and then homogenized in nondenaturing buffer (1X IP buffer, Invitrogen Dynabeads™ Co-Immunoprecipitation Kit [ThermoFisher Scientific, USA]) using 18 G and 23 G needles in the presence of protease inhibitor cocktail (Sigma-Aldrich). The resulting homogenate was centrifuged at 1,000 g for 20 min at 4°C to obtain a nuclear pellet (P1) and a post-nuclear supernatant (S1). The S1 supernatant was then centrifuged at 10,200 g for 20 min at 4°C to obtain a crude synaptosomal fraction (P2) and synaptosome-depleted fraction (S2). IP was performed using the DynaBeads Co-Immunoprecipitation kit (14321D; Thermo Fisher Scientific). After centrifugation, the S2 fraction was divided equally and incubated with 10.5 mg anti–Clathrin-Heavy-Chain antibody (ab21679; Abcam, Cambridge MA) and anti-Mouse IgG (ab190475; Abcam, Cambridge MA) for overnight coupling with magnetic beads at 37°C. All following washes were performed as per the manufacturer’s protocol. The S2 fraction was incubated with the antibody-coupled beads for 35 minutes at 4°C on a rotor. After the final wash, 3 mg beads from each fraction were subjected to 2D gel electrophoresis on a 4–12% gradient SDS-page gel and then probed with the anti–Clathrin-Heavy-Chain antibody to determine the efficacy of immunoprecipitation. The remaining 7.5 mg of S2 fraction lysate beads were then used for MudPIT-MS analysis. Two independent repeats were performed with sciatic nerve axons S2 lysate.
Protein identification through MudPIT-MS analysis and in silico data analysis
Overall steps in MudPIT-MS protocols were identical to our previous studies (Ganguly et al., 2017). Briefly, beads coated with the clathrin heavy chain antibody (or mouse IgG) were dissolved in 100 μl of 8 M urea in 100 mM Tris, pH 8.5, followed by reduction and alkylation in 10 mM Tris (2-carboxyethyl) phosphine hydrochloride (Sigma) and 55 mM iodoacetamide (Sigma-Aldrich), respectively. This was followed by digestion in trypsin (Promega; incubated at 37°C overnight in the dark) and magnetic bead removal by a magnetic separator. The resulting protein digest was acidified in formic acid followed by centrifugation at 14,000 rpm for 10 min. Thereafter, the supernatant was pressure loaded onto a 250 μm inner diameter–fused silica capillary column (Polymicro Technologies). This column was fitted with a Kasil frit packed with 2.5 cm of 5 μm Partisphere strong cation exchange resin (Whatman) and 2.5 cm of 5 μm C18 resin (Phenomenex). After desalting, this biphasic column was connected to a 100 μm inner diameter-fused silica capillary (Polymicro Technologies) analytical column with a 3 μm pulled tip packed with 10 cm of 3 μm C18 resin (Phenomenex). The entire three-phase column was then laced in line with a 1,200 quaternary HPLC pump (Agilent Technologies) and analyzed using a modified 12-step separation described previously (Washburn et al., 2001). As peptides were eluted from the microcapillary column, they were electrosprayed directly into a hybrid LTQ Orbitrap Velos mass spectrometer (Thermo Fisher Scientific). A cycle consisted of one full-scan mass spectrum (300–1,600 m/z) followed by 20 data-dependent collision-induced dissociation tandem MS spectra. The application of mass spectrometer scan functions and HPLC solvent gradients was controlled by the Xcalibur data system (Thermo Fisher Scientific). Tandem MS spectra were extracted using RawXtract (version 1.9.9; (McDonald et al., 2004) and searched with the ProLuCID algorithm (Xu et al., 2015) against a mouse UniProt database concatenated to a decoy database in which the sequence for each entry in the original database was reversed (Peng et al., 2004). The ProLuCID search was performed using semienzyme specificity and static modification of cysteine because of carboxyam-idomethylation (57.02146). ProLuCID search results were assembled and filtered using the DTA Select algorithm (version 2.0; (Tabb et al., 2002)). The protein identification false positive rate was kept below 1%, and all peptide–spectra matches had <10 ppm mass error.
For selection of peptides from the raw MudPIT data, peptides were subjected to the following selection criteria. First, the same peptide fragment had to appear in both rounds of the co-immunoprecipitation, followed by the criteria that the total raw spectrum count from both rounds for the peptide should be >30. Finally, only peptides with combined spectrum counts twenty-fold or higher than the combined spectrum counts from IgG coupled beads were selected. Only peptides that meet all three criteria were included in the final list (Supp. Table 1). The identification of peptides and gene names was performed using the Uniprot database (https://www.uniprot.org/). For generation of the clathrin protein interaction map from the S2 fraction all known interactions from experimental data were determined from the String protein interaction database (http://www.string-db.org).
Sample preparation, data acquisition and data processing for electron tomography
For EM, mouse hippocampal neurons were plated at a density of 25,000 cells/100 μl in wells of gridded MatTek dishes coated with poly-D-lysine. DIV 9–10 neurons were transfected with Apex:GFP:CLC using lipofectamine 2000 as described previously (Ganguly et al., 2017). 6–8 hours before transfection, 7 μM Hemin chloride (Sigma-Aldrich) was added to the culture medium and kept in the medium until the fixation step (below). 12–16 hours after transfection, transfected neurons were identified based on the GFP signal, and corresponding grid numbers were noted. Following this, neurons were fixed for 5 mins at room temperature, and then 60 minutes on ice in 2.5 % glutaraldehyde in 0.1M sodium cacodylate buffer (pH 7.4). After washes in cacodylate buffer and a quenching step in 20mM glycine, cells were incubated with freshly prepared DAB (25.24 mM) and 0.03% H2O2 for 25–30 minutes. Neurons were then washed in 0.1M cacodylate buffer and post-fixed with 1% osmium tetroxide for 30 minutes on ice. The neurons were washed with ddH2O and then dehydrated and embedded in Durcupan epoxy resin. After curing, the coverslip from the bottom of the MatTek dish was removed gently, and grid numbers with transfected neurons were sawed out and mounted on a dummy acrylic block for sectioning. Ultra-thin (70 nm) and semi-thin sections (200 nm) were cut using a diamond knife (Diatome). To improve stability of specimens under the beam of the EM for tomography, these sections were coated with carbon on both sides. Colloidal gold particles (5 nm and 10 nm diameter) were deposited on each side of the sections to serve as fiducial markers.
Ultra-thin sections were imaged on the JOEL 120 kV while the EM tomogram data were obtained from distal axonal regions (>150 μm from the cell body) of transfected neurons using a FEI Titan high base microscope operated at 300 kV and micrographs were produced using a 4K × 4K Gatan CCD camera (US4000). Both microscope and detector were controlled by the Serial EM software package (Mastronarde, 2005) which managed the automated tilt series acquisition. Technical details of how the sections of the tomogram were acquired, image series were aligned properly, and its 3D representations were created have been described by (Phan et al., 2017). Briefly, sections were tilted every 1° from −60° to +60°, aligned properly using colloidal gold particles as fiducial markers and final high-quality 3D representations were built from the projection sets using a custom written non-linear bundle adjustment scheme in TxBR (Lawrence et al., 2006). 3D tomograms were visualized in IMOD (Kremer et al., 1996) and only axon regions with clathrin organelles which do not open to the surface were selected for representative images. EM tomograms were performed on Apex-GFP:CLC transfected neurons from three separate cultures. At least 2–3 independent transfected neurons from each experiment were imaged. 8 axons and 9 dendrites were imaged in total, with tomograms for at least 3 ROIs acquired for each transfected axon and dendrite. A total of 62 coated-pits were identified from tomograms of dendrites, and 17 clathrin coated structures were identified in tomograms from axons. For immuno-EM experiments, a mouse monoclonal antibody against clathrin (clone X22, 1:200–500; Affinity Bioreagents) was used. Detailed procedures including preparation, fixation and immunogold labeling are described in Tao-Cheng, 2020.
DNA-PAINT imaging and image analysis
Rat hippocampal neurons were cultured on 18 mm coverslips at a density of 6,000/cm from embryonic day 18 pups following established guidelines of the French Animal Care and Use Committee (French Law 2013–118 of 1st February 2013) and approval of the local ethics committee (agreement 2019041114431531-V2 #20242). To selectively label identified axons, neurons in some experiments were transfected the day before fixation with actin-GFP using Lipofectamine 2000 according to the manufacturer’s instructions. After 9 to 13 DIV, neurons were fixed at RT in phosphate buffer (PB) 0.1M pH 7.3 containing 4% paraformaldehyde and 4% sucrose for 10 minutes, followed by permeabilization and blocking in incubation buffer (IB): 0.22% gelatin, 0.1% Triton in PB 0.1M pH 7.3 at RT for 2 hours, and incubated overnight at 4°C with primary antibody in IB: polyclonal chicken anti-Map2 (Abcam #53392, 1:1000), polyclonal rabbit anti-clathrin heavy chain (Abcam #21679, 1:150) and monoclonal mouse anti ß2-spectrin (for axon shaft images, BD Bioscience 612563, 1:150) or monoclonal mouse anti-synapsin (Synaptic Systems #106–001, 1:500. After rinses, neurons were incubated with secondary antibodies, including anti-rabbit D2 and anti-mouse D2 DNA-coupled secondary antibodies for DNA-PAINT (Ultivue) at RT for 1 hour.
DNA-PAINT imaging (Jungmann et al., 2014) was performed on an N-STORM microscope (Nikon Instruments) in imaging buffer with 0.25–1 nM Imager-650 and nM Imager-560 (Ultivue). The sample was alternatively illuminated at 647 nm and 561 nm (full laser power) and 20,000–30,000 images of each channel were acquired at 25–33 Hz. DNA-PAINT acquisitions were processed using the N-STORM software followed by post-processing; filtering and image reconstruction at 4 or 12 nm/pixel with the ThunderSTORM Fiji plugin (Jimenez et al., 2019). For 3D rendering, localizations were density-filtered (50 nm 3D radius) before reconstruction of individual presynapses as of 4-nm voxel stacks. Stacks where then 3D gaussian-smoothened and imported into ChimeraX software (Goddard et al., 2018). After surface thresholding and smoothing (default values), 3D rendering images and movies were exported as images and movies. Clathrin particles were segmented using the Segger plugin and their volume measured. Volume V in μm3 was converted in equivalent sphere diameter D in nm using [D=1000*2*V(^1/3)*3/(4*π)] for graphing. For presynaptic clathrin particles, only particles contacting or apposed to the synapsin cluster were counted and measured.
QUANTIFICATION AND STATISTICAL ANALYSIS
FRAP Quantification
FRAP data were analyzed as previously described (Applewhite et al., 2007; Boyer et al., 2010). Background fluorescence values were subtracted from all data at each time point, and photobleaching was estimated by fitting an exponential decay function (F = F0 × e−kt, where F is fluorescence, F0 is initial fluorescence, k is the decay time constant, and t is time) to the fluorescence of an unbleached control region in the same image. Fluorescence curves were normalized between cells by subtracting the fluorescence immediately after bleaching (time = 0), and then dividing by the average of the 5 pre-bleach fluorescence time points. Fluorescence recovery halftime and immobile fraction were calculated from an inverse exponential decay (F = A x (1 – e−τt), where F is fluorescence, A is the recovery plateau fluorescence, τ is the recovery time constant, and t is time) fit to the average fluorescence recovery curve for each protein or treatment. Photobleaching curves were fit to the data using the Solver add-in of Microsoft Excel 2013, and fluorescence recovery curves were fit using GraphPad Prism.
Statistical Analyses
Datasets were tested for normality using the Shapiro-Wilk W test with α set at 0.05. Pairwise comparisons were made using a Student’s t-test only when both groups being compared were found to be normally distributed: in all other cases, a Mann-Whitney nonparametric U test was used. Correlation of clathrin to synapsin volume at synapses was performed using a Pearson’s test. All three-group comparisons contained non-normally distributed data; therefore, nonparametric Kruskal-Wallis tests were used for all three-group comparisons. Post-hoc pairwise comparisons were performed with Mann-Whitney nonparametric U tests and were corrected for multiple comparisons using the Benjamini-Krieger-Yekutieli two-stage step-up method. No pre-hoc sample size estimates were determined prior to experiments. Details of experimental design are described in the experiment specific subsections of Method details section. All the data are presented as mean ±SEM. The values of n and what n represents are included in the legends of the respective figures.
Supplementary Material
KEY RESOURCES TABLE.
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
Anti-Clathrin heavy chain antibody | Abcam | Cat#ab21679; RRID:AB_2083165 |
Chicken polyclonal anti-GFP antibody | Abcam | Cat#ab13970; RRID:AB_300798 |
Anti-rabbit Alexa Fluor 594 | Invitrogen | Cat#A11037; RRID:AB_2534095 |
Anti-Chicken Alexa Fluor 488 | Invitrogen | Cat#A11039; RRID:AB_142924 |
polyclonal chicken anti-Map2 | Abcam | Cat# ab5392; RRID:AB_2138153 |
monoclonal mouse anti β2-spectrin | BD Bioscience | Cat#612563; RRID:AB_399854 |
Anti-Clathrin mouse monoclonal antibody | Affinity Bioreagents | Cat#MA1-065; RRID:AB_2083179 |
Anti-Mouse IgG | Abcam | Cat#ab190475; RRID:AB_2827162 |
monoclonal mouse anti-synapsin | Synaptic Systems | Cat#106-001; RRID:AB_887805 |
Anti-rabbit D2 (Ultivue Kit) | Ultivue | Cat#Ultivue-2 |
Anti-mouse D2 (Ultivue Kit) | Ultivue | Cat#Ultivue-2 |
Chemicals, peptides, and recombinant proteins | ||
Dynasore | Abcam | Cat#ab120192 |
Latrunculin A | Life Technologies | Cat#L12370 |
Nocodazole | Millipore-Sigma | Cat#487928-10MG |
Swinholide A | Millipore-Sigma | Cat#574776-10UG |
A/C heterodimerizer | Takara | Cat#635056 |
FM4-64 | Invitrogen | Cat#T13320 |
Advasep-7 | Millipore-Sigma | Cat#A3723 |
HBSS | GIBCO | Cat#14025092 |
6-cyano-7-nitroquinoxaline-2,3-dione CNQX | Tocris Biosciences | Cat#1045 |
D,L-2-amino-5-phosphonovaleric acid AP5 | Tocris Biosciences | Cat#106 |
VER155008 | Tocris Biosciences | Cat#3803 |
Lipofectamine 2000 | Life Technologies | Cat#11668-019 |
ProFection® Mammalian Transfection System | Promega | Cat#E1200 |
B27 supplement | GIBCO | Cat#17504044 |
Glutamax | GIBCO | Cat#35050061 |
Neurobasal A | GIBCO | Cat#10888022 |
poly-D-lysine | Sigma | Cat#P0899 |
Hibernate-E low fluorescence medium | Brainbits | Cat#HE-lf |
0.25 % Trypsin–EDTA | Invitrogen | Cat#25200072 |
Fetal bovine serum | Hyclone | Cat#SH30071.03 |
Hemin chloride | Millipore-Sigma | Cat#3741 |
Sodium cacodylate trihydrate | Millipore-Sigma | Cat#C4945 |
Diaminobenzidine (DAB) | Millipore-Sigma | Cat#D8001 |
Osmium Tetraoxide (4% aqueous solution) | Electron Microscopy Sciences | Cat#19150 |
Paraformaldehyde (16% aqueous solution) | Electron Microscopy Sciences | Cat#15710 |
Glutaraldehyde (25% aqueous solution) | Electron Microscopy Sciences | Cat#16220 |
Durcupan ACM, Epoxy Resin (Kit) | Electron Microscopy Sciences | Cat#14040 |
Tris (2-carboxyethyl) phosphine hydrochloride | Sigma-Aldrich | Cat# 75259 |
Iodo-acetamide | Sigma-Aldrich | Cat#144-48-9 |
Protease inhibitor cocktail | Sigma-Aldrich | Cat#P8340 |
Dynabeads™ Co-Immunoprecipitation Kit | ThermoFisher Scientific | Cat#14321D |
1.4 nm Nanogold® secondary antibody | Nanoprobes | Cat#2001 |
HQ silver enhancement kit | Nanoprobes | Cat#2012-45ML |
Critical commercial assays | ||
Live-or-Dye NucFix™ Red | Biotium | Cat#32010-T |
Deposited data | ||
Proteomics Data | This Paper; ProteomeXchange Consortium (PRIDE database) | Supp.Table1; PXD027857 (https://www.ebi.ac.uk/pride/) |
Experimental models: Organisms/strains | ||
Mouse: CD1 | Charles River Laboratories | Cat#022-CD1 |
Recombinant DNA | ||
GFP:CLC | Gaidarov et al.,1999 | N/A |
pUC57-APEX | Martell et al., 2012 | Addgene Plasmid #40306 |
Dendra2-Lifeact-7 | Dendra2-Lifeact-7 was a gift from Michael Davidson | Addgene plasmid #54694 |
Dendra2:CLC | This paper | N/A |
PAGFP-C1 | Patterson et al., 2002 | Addgene plasmid #11910 |
PAGFP:CLC | This paper | N/A |
CHC-T7-Hub | Liu et al., 1998 | N/A |
T7-empty backbone | Liu et al., 1998 | N/A |
GFP:Utr-CH | Burkel et al., 2007 | Addgene Plasmid #26737 |
synaptophysin:mCh | Gerrow et al., 2006 | N/A |
pBa-Flag-BicD2-FKBP | Bentley et al., 2015 | Addgene Plasmid #64206 |
pBa- Flag-tdTM-BicD2-FKBP | Bentley et al., 2015 | Addgene Plasmid #64205 |
pBa-FRB-3myc-Rab5a | Bentley et al., 2015 | Addgene Plasmid #64209 |
FRB-GFP:CLC | This paper | N/A |
GFP:synapsin-1a | Gitler et al., 2004 | N/A |
EGFP-AP180 | Bushlin et al., 2008 | N/A |
GAK-GFP | Massol et al., 2006 | N/A |
pEGFP-C1-Dynamin | Song et al., 2004 | Addgene Plasmid #34680 |
CLC:mCherry | This paper | N/A |
pEGFP-N1 | Clonetech | Cat#6085-1 |
Software and algorithms | ||
GraphPad Prism | GraphPad Software, La Jolla, CA, USA | Version 7.00; www.graphpad.com; RRID:SCR_002798 |
Fiji ImageJ | Schindelin et al., 2012 | https://imagej.net/Fiji; RRID:SCR_002285 |
MetaMorph Version 7.10 | Molecular Devices | https://www.moleculardevices.com/products/cellular-imaging-systems/acquisition-and-analysis-software/metamorph-microscopy; RRID:SCR_002368 |
Adobe Illustrator | Adobe | https://www.adobe.com/products/illustrator/free-trial-download.html; RRID:SCR_010279 |
RawXtract version 1.9.9 | McDonald et al., 2004 | http://fields.scripps.edu/downloads.php |
N-STORM software | Nikon; Jungmann et al., 2014 | https://www.microscope.healthcare.nikon.com/products/super-resolution-microscopes/n-storm-super-resolution; RRID:SCR_018302 |
ChimeraX software | Goddard et al., 2018 | https://www.rbvi.ucsf.edu/chimerax/; RRID:SCR_015872 |
ThunderSTORM | Jimenez et al., 2019 | https://github.com/zitmen/thunderstorm; RRID:SCR_016897 |
Highlights:
Clathrin moves as stable ‘transport-packets’ in axons with overall anterograde bias
Stable clathrin-packets switch to a dynamic state upon reaching synapses
Synaptic clathrin-packets are radially organized around synaptic vesicle clusters
Depletion of synaptic clathrin-packets impairs synaptic vesicle recycling
ACKNOWLEDGEMENTS:
This work was supported by a NIH grant to S.R. (R01NS075233); a CNRS ATIP grant to C.L. (ATIP2016); and NIH grants to D.B. (R01GM086197) and M.H.E. (P41 GM103412) supporting the National Center for Microscopy and Imaging Research. The authors thank Titus Jung for proteomic data handling, and various investigators for generously sharing constructs (listed in “methods”).
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
REFERENCES
- Applewhite DA, Barzik M, Kojima SI, Svitkina TM, Gertler FB, & Borisy GG (2007). Ena/VASP proteins have an anti-capping independent function in filopodia formation. Molecular biology of the cell, 18(7), 2579–2591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bai J, Hu Z, Dittman JS, Pym EC, and Kaplan JM (2010). Endophilin functions as a membrane-bending molecule and is delivered to endocytic zones by exocytosis. Cell 143, 430–441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bazinet C, Katzen AL, Morgan M, Mahowald AP, and Lemmon SK (1993). The Drosophila clathrin heavy chain gene: clathrin function is essential in a multicellular organism. Genetics 134, 1119–1134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Belshaw PJ, Ho SN, Crabtree GR, and Schreiber SL (1996). Controlling protein association and subcellular localization with a synthetic ligand that induces heterodimerization of proteins. Proc Natl Acad Sci U S A 93, 4604–4607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bennett EM, Chen CY, Engqvist-Goldstein AE, Drubin DG, and Brodsky FM (2001). Clathrin hub expression dissociates the actin-binding protein Hip1R from coated pits and disrupts their alignment with the actin cytoskeleton. Traffic 2, 851–858. [DOI] [PubMed] [Google Scholar]
- Bentley M, Decker H, Luisi J, and Banker G (2015). A novel assay reveals preferential binding between Rabs, kinesins, and specific endosomal subpopulations. J Cell Biol 208, 273–281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Biever A, Glock C, Tushev G, Ciirdaeva E, Dalmay T, Langer JD, Schuman EM (2020). Monosomes actively translate synaptic mRNAs in neuronal processes. Science 6477, eaay4991. doi: 10.1126/science.aay4991. [DOI] [PubMed] [Google Scholar]
- Black MM, Chestnut MH, Pleasure IT, and Keen JH (1991). Stable clathrin: uncoating protein (hsc70) complexes in intact neurons and their axonal transport. The Journal of neuroscience : the official journal of the Society for Neuroscience 11, 1163–1172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blanpied TA, Scott DB, and Ehlers MD (2002). Dynamics and regulation of clathrin coats at specialized endocytic zones of dendrites and spines. Neuron 36, 435–449. [DOI] [PubMed] [Google Scholar]
- Boyer NP, McCormick LE, Menon S, Urbina FL, & Gupton SL (2020). A pair of E3 ubiquitin ligases compete to regulate filopodial dynamics and axon guidance. The Journal of cell biology, 219(1). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burkel BM, Von Dassow G, & Bement WM (2007). Versatile fluorescent probes for actin filaments based on the actin‐binding domain of utrophin. Cell motility and the cytoskeleton, 64(11), 822–832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bushlin I, Petralia RS, Wu F, Harel A, Mughal MR, Mattson MP, & Yao PJ (2008). Clathrin assembly protein AP180 and CALM differentially control axogenesis and dendrite outgrowth in embryonic hippocampal neurons. Journal of Neuroscience, 28(41), 10257–10271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chakrabarty N, Dubey P, Tang Y, Ganguly A, Ladt K, Leterrier C, Jung P, and Roy S (2019). Processive flow by biased polymerization mediates the slow axonal transport of actin. J Cell Biol 218, 112–124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chanaday NL, Cousin MA, Milosevic I, Watanabe S, and Morgan JR (2019). The Synaptic Vesicle Cycle Revisited: New Insights into the Modes and Mechanisms. J Neurosci 39, 8209–8216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chanaday NL, and Kavalali ET (2018). Optical detection of three modes of endocytosis at hippocampal synapses. Elife 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cousin MA, Gordon SL, & Smillie KJ (2018). Using FM dyes to monitor clathrin-mediated endocytosis in primary neuronal culture. In Clathrin-Mediated Endocytosis (pp. 239–249). Humana Press, New York, NY. [DOI] [PubMed] [Google Scholar]
- Darcy KJ, Staras K, Collinson LM, and Goda Y (2006). Constitutive sharing of recycling synaptic vesicles between presynaptic boutons. Nat Neurosci 9, 315–321. [DOI] [PubMed] [Google Scholar]
- Das U, Scott DA, Ganguly A, Koo EH, Tang Y, and Roy S (2013). Activity-induced convergence of APP and BACE-1 in acidic microdomains via an endocytosis-dependent pathway. Neuron 79, 447–460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Day KJ, Kago G, Wang L, Richter JB, Hayden CC, Lafer EM, and Stachowiak JC (2021). Liquid-like protein interactions catalyse assembly of endocytic vesicles. Nat Cell Biol 23, 366–376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Waegh S, and Brady ST (1989). Axonal transport of a clathrin uncoating ATPase (HSC70): a role for HSC70 in the modulation of coated vesicle assembly in vivo. Journal of neuroscience research 23, 433–440. [DOI] [PubMed] [Google Scholar]
- Delvendahl I, Vyleta NP, von Gersdorff H, and Hallermann S (2016). Fast, Temperature-Sensitive and Clathrin-Independent Endocytosis at Central Synapses. Neuron 90, 492–498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Denker A, Rizzoli SO Synaptic vesicle pools: an update. (2010). Front Synaptic Neurosci. 2:135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dienstbier M, and Li X (2009). Bicaudal-D and its role in cargo sorting by microtubule-based motors. Biochem Soc Trans 37, 1066–1071. [DOI] [PubMed] [Google Scholar]
- Dittman J, and Ryan TA (2009). Molecular circuitry of endocytosis at nerve terminals. Annu Rev Cell Dev Biol 25, 133–160. [DOI] [PubMed] [Google Scholar]
- Elluru RG, Bloom GS, and Brady ST (1995). Fast axonal transport of kinesin in the rat visual system: functionality of kinesin heavy chain isoforms. Molecular biology of the cell 6, 21–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gaffield MA, and Betz WJ (2006). Imaging synaptic vesicle exocytosis and endocytosis with FM dyes. Nat Protoc 1, 2916–2921. [DOI] [PubMed] [Google Scholar]
- Gaidarov I, Santini F, Warren RA, and Keen JH (1999). Spatial control of coated-pit dynamics in living cells. Nature cell biology 1, 1–7. [DOI] [PubMed] [Google Scholar]
- Ganguly A, and Roy S (2014). Using photoactivatable GFP to track axonal transport kinetics. Methods Mol Biol 1148, 203–215 [DOI] [PubMed] [Google Scholar]
- Ganguly A, Han X, Das U, Wang L, Loi J, Sun J, Gitler D, Caillol G, Leterrier C, Yates JR 3rd, and Roy S (2017). Hsc70 chaperone activity is required for the cytosolic slow axonal transport of synapsin. J Cell Biol 216, 2059–2074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ganguly A, Tang Y, Wang L, Ladt K, Loi J, Dargent B, Leterrier C, and Roy S (2015). A dynamic formin-dependent deep F-actin network in axons. J Cell Biol 210, 401–417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Garner JA, and Lasek RJ (1981). Clathrin is axonally transported as part of slow component b: the microfilament complex. The Journal of cell biology 88, 172–178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gerrow K, Romorini S, Nabi SM, Colicos MA, Sala C, & El-Husseini A (2006). A preformed complex of postsynaptic proteins is involved in excitatory synapse development. Neuron, 49(4), 547–562. [DOI] [PubMed] [Google Scholar]
- Gitler D, Xu Y, Kao HT, Lin D, Lim S, Feng J, ... & Augustine GJ (2004). Molecular determinants of synapsin targeting to presynaptic terminals. Journal of Neuroscience, 24(14), 3711–3720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goddard TD, Huang CC, Meng EC, Pettersen EF, Couch GS, Morris JH, and Ferrin TE (2018). UCSF ChimeraX: Meeting modern challenges in visualization and analysis. Protein Sci 27, 14–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gower DJ, and Tytell M (1987). Axonal transport of clathrin-associated proteins. Brain research 407, 1–8. [DOI] [PubMed] [Google Scholar]
- Heuser JE, and Reese TS (1973). Evidence for recycling of synaptic vesicle membrane during transmitter release at the frog neuromuscular junction. J Cell Biol 57, 315–344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heymann JB, Winkler DC, Yim YI, Eisenberg E, Greene LE, and Steven AC (2013). Clathrin-coated vesicles from brain have small payloads: a cryo-electron tomographic study. J Struct Biol 184, 43–51 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jimenez A, Friedl K, and Leterrier C (2019). About samples, giving examples: Optimized Single Molecule Localization Microscopy. Methods. [DOI] [PubMed] [Google Scholar]
- Jung N, and Haucke V (2007). Clathrin-mediated endocytosis at synapses. Traffic 8, 1129–1136. [DOI] [PubMed] [Google Scholar]
- Jungmann R, Avendano MS, Woehrstein JB, Dai M, Shih WM, and Yin P (2014). Multiplexed 3D cellular superresolution imaging with DNA-PAINT and Exchange-PAINT. Nat Methods 11, 313–318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kaksonen M, Toret CP, and Drubin DG (2006). Harnessing actin dynamics for clathrin-mediated endocytosis. Nat Rev Mol Cell Biol 7, 404–414. [DOI] [PubMed] [Google Scholar]
- Kapitein LC, Schlager MA, van der Zwan WA, Wulf PS, Keijzer N, and Hoogenraad CC (2010). Probing intracellular motor protein activity using an inducible cargo trafficking assay. Biophys J 99, 2143–2152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Keyel PA, Watkins SC, and Traub LM (2004). Endocytic adaptor molecules reveal an endosomal population of clathrin by total internal reflection fluorescence microscopy. J Biol Chem 279, 13190–13204. [DOI] [PubMed] [Google Scholar]
- Kononenko NL, Puchkov D, Classen GA, Walter AM, Pechstein A, Sawade L, Kaempf N, Trimbuch T, Lorenz D, Rosenmund C, et al. (2014). Clathrin/AP-2 mediate synaptic vesicle reformation from endosome-like vacuoles but are not essential for membrane retrieval at central synapses. Neuron 82, 981–988. [DOI] [PubMed] [Google Scholar]
- Kremer JR, Mastronarde DN, and McIntosh JR (1996). Computer visualization of three-dimensional image data using IMOD. J Struct Biol 116, 71–7 [DOI] [PubMed] [Google Scholar]
- Krueger SR, Kolar A, and Fitzsimonds RM (2003). The presynaptic release apparatus is functional in the absence of dendritic contact and highly mobile within isolated axons. Neuron 40, 945–957. [DOI] [PubMed] [Google Scholar]
- Lawrence A, Bouwer JC, Perkins G, and Ellisman MH (2006). Transform-based backprojection for volume reconstruction of large format electron microscope tilt series. J Struct Biol 154, 144–167. [DOI] [PubMed] [Google Scholar]
- Leterrier C, Dubey P, and Roy S (2017). The nano-architecture of the axonal cytoskeleton. Nat Rev Neurosci 18, 713–726. [DOI] [PubMed] [Google Scholar]
- Liao L, Park SK, Xu T, Vanderklish P, and Yates JR 3rd (2008). Quantitative proteomic analysis of primary neurons reveals diverse changes in synaptic protein content in fmr1 knockout mice. Proc Natl Acad Sci U S A 105, 15281–15286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liljebäck H, Quach M, Carlsson P-O, Lau J. (2019). Fewer Islets Survive from a First Transplant than a Second Transplant: Evaluation of Repeated Intraportal Islet Transplantation in Mice. Cell Transplantation. 28:1455–1460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lippincott-Schwartz J, Altan-Bonnet N, and Patterson GH (2003). Photobleaching and photoactivation: following protein dynamics in living cells. Nat Cell Biol Suppl, S7–14. [PubMed] [Google Scholar]
- Liu SH, Marks MS, & Brodsky FM (1998). A dominant-negative clathrin mutant differentially affects trafficking of molecules with distinct sorting motifs in the class II major histocompatibility complex (MHC) pathway. The Journal of cell biology, 140(5), 1023–1037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Macia E, Ehrlich M, Massol R, Boucrot E, Brunner C, and Kirchhausen T (2006). Dynasore, a cell-permeable inhibitor of dynamin. Dev Cell 10, 839–850. [DOI] [PubMed] [Google Scholar]
- Maday S, Twelvetrees AE, Moughamian AJ, and Holzbaur EL (2014). Axonal transport: cargo-specific mechanisms of motility and regulation. Neuron 84, 292–309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martell JD, Deerinck TJ, Sancak Y, Poulos TL, Mootha VK, Sosinsky GE, Ellisman MH, and Ting AY (2012). Engineered ascorbate peroxidase as a genetically encoded reporter for electron microscopy. Nature biotechnology 30, 1143–1148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Massol RH, Boll W, Griffin AM, & Kirchhausen T (2006). A burst of auxilin recruitment determines the onset of clathrin-coated vesicle uncoating. Proceedings of the National Academy of Sciences, 103(27), 10265–10270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mastronarde DN (2005). Automated electron microscope tomography using robust prediction of specimen movements. J Struct Biol 152, 36–51. [DOI] [PubMed] [Google Scholar]
- McDonald WH, Tabb DL, Sadygov RG, MacCoss MJ, Venable J, Graumann J, Johnson JR, Cociorva D, and Yates JR 3rd (2004). MS1, MS2, and SQT-three unified, compact, and easily parsed file formats for the storage of shotgun proteomic spectra and identifications. Rapid communications in mass spectrometry: RCM 18, 2162–2168.g [DOI] [PubMed] [Google Scholar]
- McMahon HT, and Boucrot E (2011). Molecular mechanism and physiological functions of clathrin-mediated endocytosis. Nat Rev Mol Cell Biol 12, 517–533. [DOI] [PubMed] [Google Scholar]
- Milosevic I (2018). Revisiting the Role of Clathrin-Mediated Endoytosis in Synaptic Vesicle Recycling. Front Cell Neurosci 12, 27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Milovanovic D, Wu Y, Bian X, and De Camilli P (2018). A liquid phase of synapsin and lipid vesicles. Science 361, 604–607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mueller VJ, Wienisch M, Nehring RB, and Klingauf J (2004). Monitoring clathrin-mediated endocytosis during synaptic activity. J Neurosci 24, 2004–2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nandi PK, Irace G, Van Jaarsveld PP, Lippoldt RE, and Edelhoch H (1982). Instability of coated vesicles in concentrated sucrose solutions. Proc Natl Acad Sci U S A 79, 5881–5885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Paraan M, Mendez J, Sharum S, Kurtin D, He H, and Stagg SM (2020). The structures of natively assembled clathrin-coated vesicles. Sci Adv 6, eaba8397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Patterson GH, & Lippincott-Schwartz J (2002). A photoactivatable GFP for selective photolabeling of proteins and cells. Science, 297(5588), 1873–1877. [DOI] [PubMed] [Google Scholar]
- Pelassa I, Zhao C, Pasche M, Odermatt B, and Lagnado L (2014). Synaptic vesicles are “primed” for fast clathrin-mediated endocytosis at the ribbon synapse. Front Mol Neurosci 7, 91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Peng J, Kim MJ, Cheng D, Duong DM, Gygi SP, and Sheng M (2004). Semiquantitative proteomic analysis of rat forebrain postsynaptic density fractions by mass spectrometry. The Journal of biological chemistry 279, 21003–21011. [DOI] [PubMed] [Google Scholar]
- Perez-Riverol Y, Xu QW, Wang R, Uszkoreit J, Griss J, Sanchez A, Reisinger F, Csordas A, Ternent T, del Toro N, Dianes JA, Eisenacher M, Hermjakob H, Vizcaíno JA (2016). PRIDE Inspector Toolsuite: moving towards a universal visualization tool for proteomics data standard formats and quality assessment of ProteomeXchange datasets. Mol Cell Proteomics 15, 305–317. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petralia RS, Wang YX, and Wenthold RJ (2003). Internalization at glutamatergic synapses during development. Eur J Neurosci 18, 3207–3217. [DOI] [PubMed] [Google Scholar]
- Phan S, Boassa D, Nguyen P, Wan X, Lanman J, Lawrence A, and Ellisman MH (2017). 3D reconstruction of biological structures: automated procedures for alignment and reconstruction of multiple tilt series in electron tomography. Adv Struct Chem Imaging 2, 8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Polishchuk RS, San Pietro E, Di Pentima A, Tete S, and Bonifacino JS (2006). Ultrastructure of long-range transport carriers moving from the trans Golgi network to peripheral endosomes. Traffic 7, 1092–1103. [DOI] [PubMed] [Google Scholar]
- Puertollano R, van der Wel NN, Greene LE, Eisenberg E, Peters PJ, and Bonifacino JS (2003). Morphology and dynamics of clathrin/GGA1-coated carriers budding from the trans-Golgi network. Mol Biol Cell 14, 1545–1557. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Radulescu AE, Siddhanta A, and Shields D (2007). A role for clathrin in reassembly of the Golgi apparatus. Mol Biol Cell 18, 94–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rappoport JZ, and Simon SM (2003). Real-time analysis of clathrin-mediated endocytosis during cell migration. J Cell Sci 116, 847–855. [DOI] [PubMed] [Google Scholar]
- Rappoport JZ, Taha BW, Lemeer S, Benmerah A, and Simon SM (2003a). The AP-2 complex is excluded from the dynamic population of plasma membrane-associated clathrin. J Biol Chem 278, 47357–47360. [DOI] [PubMed] [Google Scholar]
- Rappoport JZ, Taha BW, and Simon SM (2003b). Movement of plasma-membrane-associated clathrin spots along the microtubule cytoskeleton. Traffic 4, 460–467. [DOI] [PubMed] [Google Scholar]
- Ratnayaka A, Marra V, Branco T, and Staras K Extrasynaptic vesicle recycling in mature hippocampal neurons. (2011). Nat Commun 2, 531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robinson MS, Sahlender DA, and Foster SD (2010). Rapid inactivation of proteins by Rapalog-induced rerouting to mitochondria. Dev Cell 18, 324–331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rosendale M, Jullie D, Choquet D, and Perrais D (2017). Spatial and Temporal Regulation of Receptor Endocytosis in Neuronal Dendrites Revealed by Imaging of Single Vesicle Formation. Cell Rep 18, 1840–1847. [DOI] [PubMed] [Google Scholar]
- Roy S (2014). Seeing the unseen: the hidden world of slow axonal transport. The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry 20, 71–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Roy S (2020). Finding order in slow axonal transport. Curr Opin Neurobiol 63, 87–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Roy S, Yang G, Tang Y, and Scott DA (2012). A simple photoactivation and image analysis module for visualizing and analyzing axonal transport with high temporal resolution. Nature protocols 7, 62–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Royle SJ, and Lagnado L (2010). Clathrin-mediated endocytosis at the synaptic terminal: bridging the gap between physiology and molecules. Traffic 11, 1489–1497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Saheki Y, and De Camilli P (2012). Synaptic vesicle endocytosis. Cold Spring Harb Perspect Biol 4, a005645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scott DA, Das U, Tang Y, and Roy S (2011). Mechanistic logic underlying the axonal transport of cytosolic proteins. Neuron 70, 441–454. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, ... & Cardona A, (2012). Fiji: an open-source platform for biological-image analysis. Nature methods, 9(7), 676–682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sharma R, Gulia R, & Bhattacharyya S (2019). Analysis of ubiquitination and ligand-dependent trafficking of group I mGluRs. In Methods in cell biology (Vol. 149, pp. 107–130). Academic Press. [DOI] [PubMed] [Google Scholar]
- Shigeoka T, Jung H, Jung J, Turner-Bridger B, Ohk J, Lin JQ, Amieux PS, Holt CE (2016). Dynamic Axonal Translation in Developing and Mature Visual Circuits. Cell 166, 181–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Song BD, Yarar D, & Schmid SL (2004). An assembly-incompetent mutant establishes a requirement for dynamin self-assembly in clathrin-mediated endocytosis in vivo. Molecular biology of the cell, 15(5), 2243–2252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Soykan T, Kaempf N, Sakaba T, Vollweiter D, Goerdeler F, Puchkov D, Kononenko NL, and Haucke V (2017). Synaptic Vesicle Endocytosis Occurs on Multiple Timescales and Is Mediated by Formin-Dependent Actin Assembly. Neuron 93, 854–866 e854. [DOI] [PubMed] [Google Scholar]
- Staras K (2007). Share and share alike: trading of presynaptic elements between central synapses. Trends Neurosci 30, 292–298. [DOI] [PubMed] [Google Scholar]
- Staras K, Branco T, Burden JJ, Pozo K, Darcy K, Marra V, Ratnayaka A, and Goda Y (2010). A vesicle superpool spans multiple presynaptic terminals in hippocampal neurons. Neuron 66, 37–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tabb DL, McDonald WH, and Yates JR 3rd (2002). DTASelect and Contrast: tools for assembling and comparing protein identifications from shotgun proteomics. Journal of proteome research 1, 21–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tang Y, Das U, Scott DA, and Roy S (2012). The slow axonal transport of alpha-synuclein--mechanistic commonalities amongst diverse cytosolic cargoes. Cytoskeleton (Hoboken) 69, 506–513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tang Y, Scott D, Das U, Gitler D, Ganguly A, and Roy S (2013). Fast vesicle transport is required for the slow axonal transport of synapsin. The Journal of neuroscience : the official journal of the Society for Neuroscience 33, 15362–15375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tao-Cheng JH (2020). Stimulation-induced differential redistributions of clathrin and clathrin-coated vesicles in axons compared to soma/dendrites. Mol Brain 13, 141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Traub LM, and Bonifacino JS (2013). Cargo recognition in clathrin-mediated endocytosis. Cold Spring Harb Perspect Biol 5, a016790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Twelvetrees AE, Pernigo S, Sanger A, Guedes-Dias P, Schiavo G, Steiner RA, Dodding MP, and Holzbaur EL (2016). The Dynamic Localization of Cytoplasmic Dynein in Neurons Is Driven by Kinesin-1. Neuron 90, 1000–1015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang L, Das U, Scott DA, Tang Y, McLean PJ, and Roy S (2014). alpha-synuclein multimers cluster synaptic vesicles and attenuate recycling. Current biology: CB 24, 2319–2326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Washburn MP, Wolters D, and Yates JR 3rd (2001). Large-scale analysis of the yeast proteome by multidimensional protein identification technology. Nature biotechnology 19, 242–247. [DOI] [PubMed] [Google Scholar]
- Watanabe S, Rost BR, Camacho-Perez M, Davis MW, Sohl-Kielczynski B, Rosenmund C, and Jorgensen EM (2013). Ultrafast endocytosis at mouse hippocampal synapses. Nature 504, 242–247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Watanabe S, Trimbuch T, Camacho-Perez M, Rost BR, Brokowski B, Sohl-Kielczynski B, Felies A, Davis MW, Rosenmund C, and Jorgensen EM (2014). Clathrin regenerates synaptic vesicles from endosomes. Nature 515, 228–233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilhelm BG, Mandad S, Truckenbrodt S, Kröhnert K, Schäfer C, Rammner B, Koo SJ, Claßen GA, Krauss M, Haucke V, Urlaub H, Rizzoli SO (2014). Composition of isolated synaptic boutons reveals the amounts of vesicle trafficking proteins. Science 344, 1023–1028. [DOI] [PubMed] [Google Scholar]
- Witkowska A, and Haucke V (2021). Liquid-like protein assemblies initiate endocytosis. Nat Cell Biol 23, 301–302. [DOI] [PubMed] [Google Scholar]
- Xu T, Park SK, Venable JD, Wohlschlegel JA, Diedrich JK, Cociorva D, Lu B, Liao L, Hewel J, Han X, et al. (2015). ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity. Journal of proteomics 129, 16–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yates JR, Ruse CI, and Nakorchevsky A (2009). Proteomics by mass spectrometry: approaches, advances, and applications. Annu Rev Biomed Eng 11, 49–79. [DOI] [PubMed] [Google Scholar]
- Zhao Y, and Keen JH (2008). Gyrating clathrin: highly dynamic clathrin structures involved in rapid receptor recycling. Traffic 9, 2253–2264. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The MUDPIT-MS data are available in the supplemental information. Microscopy data reported in this paper will be shared by the lead contact upon request.
This paper does not report original code.
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.