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. 2017 Jan 30;6:e21392. doi: 10.7554/eLife.21392

The paranodal cytoskeleton clusters Na+ channels at nodes of Ranvier

Veronique Amor 1,, Chuansheng Zhang 2,, Anna Vainshtein 1, Ao Zhang 3, Daniel R Zollinger 2, Yael Eshed-Eisenbach 1, Peter J Brophy 3, Matthew N Rasband 2,*, Elior Peles 1,*
Editor: Dwight E Bergles4
PMCID: PMC5279941  PMID: 28134616

Abstract

A high density of Na+ channels at nodes of Ranvier is necessary for rapid and efficient action potential propagation in myelinated axons. Na+ channel clustering is thought to depend on two axonal cell adhesion molecules that mediate interactions between the axon and myelinating glia at the nodal gap (i.e., NF186) and the paranodal junction (i.e., Caspr). Here we show that while Na+ channels cluster at nodes in the absence of NF186, they fail to do so in double conditional knockout mice lacking both NF186 and the paranodal cell adhesion molecule Caspr, demonstrating that a paranodal junction-dependent mechanism can cluster Na+ channels at nodes. Furthermore, we show that paranode-dependent clustering of nodal Na+ channels requires axonal βII spectrin which is concentrated at paranodes. Our results reveal that the paranodal junction-dependent mechanism of Na+channel clustering is mediated by the spectrin-based paranodal axonal cytoskeleton.

DOI: http://dx.doi.org/10.7554/eLife.21392.001

Research Organism: Mouse

Introduction

Nodes of Ranvier are short gaps in the myelin sheath where voltage-gated Na+ and K+ channels are clustered in high densities to facilitate the rapid and efficient propagation of action potentials. Node assembly depends on the interactions between axons and myelinating glia that are mediated by distinct cell adhesion complexes present at both the nodal gap and the paranodal junction flanking each node of Ranvier. A key mediator of these interactions is the cell adhesion molecule neurofascin (Nfasc). The Nfasc gene is alternatively spliced to generate a neuronal 186 kDa variant (NF186) found at nodes of Ranvier (Davis et al., 1996), and a glial 155 kDa variant (NF155) that is a core component of the paranodal junctions (Tait et al., 2000; Pillai et al., 2009). Nfasc is essential for node of Ranvier assembly as genetic deletion of both NF155 and NF186 in mice results in the absence of nodal Na+ channel clusters (Sherman et al., 2005).

At peripheral (PNS) and central (CNS) nodes, NF186 is clustered and stabilized at the axolemma by glial adhesion molecules and extracellular matrix (ECM) (Eshed et al., 2005; Feinberg et al., 2010; Susuki et al., 2013; Colombelli et al., 2015). Clustered NF186 functions as an attachment site for the nodal scaffolding proteins ankyrinG (AnkG) and βIV spectrin, which in turn recruit Na+ channels (Davis and Bennett, 1994; Sherman et al., 2005; Yang et al., 2007; Gasser et al., 2012; Ho et al., 2014). After node assembly, NF186 helps to stabilize and maintain the nodal Na+ channel protein complex (Amor et al., 2014; Desmazieres et al., 2014). Consistent with these observations, transgenic expression of neuronal NF186 on an Nfasc-null background is sufficient to rescue nodal Na+ channel clustering (Zonta et al., 2008). In addition, the glial NF155-dependent paranodal axoglial junctions have also been proposed to function as a parallel mechanism to cluster Na+ channels by acting as lateral diffusion barriers to restrict the location of nodal proteins in the axolemma (Rasband et al., 1999; Pedraza et al., 2001). In support of this idea, transgenic expression of NF155 in myelinating oligodendrocytes on a Nfasc-null background is sufficient to induce Na+ channel clustering (Zonta et al., 2008). Similarly, in vitro myelination of Nfasc-null axons by wild-type Schwann cells (which results in the formation of a normal paranodal junction) induces the clustering of Na+ channels at nodes (Feinberg et al., 2010). Furthermore, mice lacking both paranodal junctions and NF186-binding CNS nodal ECM proteins have a profound reduction in the clustering of Na+ channels (Susuki et al., 2013). In contrast, disruption of paranodal junctions alone causes only mild perturbations to Na+ channel clustering (Dupree et al., 1999; Bhat et al., 2001; Boyle et al., 2001; Pillai et al., 2009). Together, these observations support a model where two glia-dependent mechanisms direct Na+ channel clustering at nodes of Ranvier: (1) clustering of axonal NF186 by glia-derived proteins and (2) restriction of nodal protein complexes within the nodal gap by the paranodal junctions.

Nevertheless, this model, and in particular the function of the paranodal junction in the clustering of Na+ channels, remains controversial since conditional deletion of NF186 in neurons was reported to block the clustering of Na+ channels at nodes of Ranvier (Thaxton et al., 2011). Furthermore, if paranodal junctions can act as diffusion barriers to cluster Na+ channels, what molecular mechanisms are involved?

To further determine if paranodal junctions are sufficient to cluster nodal Na+ channels in vivo, we genetically deleted (in three separate laboratories) nodal NF186 using two different conditional Nfasc alleles, and three independent Cre-driver lines. We confirmed the role of the paranodal junction as a second, glia-dependent mechanism for Na+ channel clustering by generating double-conditional knockout mice lacking both axonal Caspr and NF186. Finally, using double-conditional knockout mice deficient in both axonal NF186 and βII spectrin, we extend our understanding of node formation by showing that the axonal βII spectrin-based paranodal cytoskeleton underlies the paranodal mechanism of nodal Na+ channel clustering.

Results

NF155-dependent paranodal junctions can cluster Na+ channels in the PNS

To determine whether the paranodal junctions are sufficient to cluster Na+ channels in the absence of axoglial contact at the nodes, we generated two distinct Nfasc conditional alleles to specificially remove NF186 in neurons: mice with floxed Nfasc exons 6 and 7, and mice with a floxed Nfasc exon 4, hereafter referred to as Nfascfl/fl and Nfasc(4)fl/fl, respectively (Figure 1—figure supplement 1a and Zonta et al., 2011). We confirmed the efficiency of the targeting strategy by crossing Nfascfl/fl mice with Pgk-Cre mice (Pgk-Cre results in recombination in all tissues). Immunoblots of brain lysates derived from postnatal day 6 (P6) Pgk-Cre;Nfascfl/fl mice showed no immunoreactivity for Nfasc gene products (Figure 1—figure supplement 1b). Consistent with the previously reported Nfasc-null mice (Sherman et al., 2005), Pgk-Cre;Nfascfl/fl mice died within a few days of birth and immunostaining of sciatic nerves showed neither paranodal junctions nor Na+ channel clustering (Figure 1—figure supplement 1c and d). Crossing Nfasc(4)fl/fl mice with Thy1-Cre mice (Thy1Cre mice express Cre recombinase in neurons) also resulted in loss of NF186 in Thy1-Cre;Nfasc(4)fl/fl mice (Figure 1—figure supplement 2a).

To avoid deletion of the glial NF155 form of neurofascin and disruption of the paranodal junctions, we crossed Nfascfl/fl mice with Avil-Cre mice (Hasegawa et al., 2007; Zhou et al., 2010), which restricts the Cre-mediated recombination to PNS sensory neurons beginning at E12.5. Immunostaining of dorsal roots from Avil-Cre;Nfascfl/fl mice using a neurofascin antibody that recognizes all splice variants (panNF) showed complete loss of nodal NF186, but preserved paranodal junctions as indicated by Caspr and paranodal panNF immunostaining (Figure 1a); ventral roots were unaffected and the mixed fiber type sciatic nerve showed some nodes with NF186 and others without (Figure 1a). To determine if the paranodal junctions are intact in Avil-Cre;Nfascfl/fl mice we performed transmission electron microscopy on dorsal roots and found no disruption of the junctions (Figure 1—figure supplement 1e). Thus, nodes of Ranvier corresponding to sensory axons in Avil-Cre;Nfascfl/fl mice lack NF186 and their paranodal junctions are intact.

Figure 1. NF155-dependent paranodal junctions can cluster Na+ channels in the PNS.

(a) Immunostaining of P12 dorsal roots, ventral roots, and sciatic nerve from Nfascfl/fl and Avil-Cre;Nfascfl/fl mice using a pan Nfasc (Pan-NF, red) and Caspr (green) antibodies. Note the yellow overlap of the two labels at the paranodes in both genotypes. Scale bar, 5 µm. (b) Immunostaining of P12 dorsal and ventral roots from Nfascfl/fl and Avil-Cre;Nfascfl/fl mice using pan Na+ channel (NaCh, red) and Caspr (green) antibodies. Scale bar, 5 µm. (c) Immunostaining of P12 dorsal roots from Nfascfl/fl and Avil-Cre;Nfascfl/fl mice using panNF (red) to label nodes and paranodes, and antibodies against Nav1.6, AnkG, βIV spectrin, or Gldn to label nodes (green). Note that the nodal panNF staining observed in the Nfascfl/fl mice is much stronger than the paranodal immunoreactivity. Thus, the paranodal panNF staining is more pronounced in the Avil-Cre;Nfascfl/fl mice. Scale bar, 5 µm. (d) Quantification of the percentage of dorsal root nodes of Ranvier with nodal Na+ channels at P9 and P12. N = 3 mice at each time point for each genotype. (e) Immunostaining of dorsal root ganglion/Schwann cell mixed cultures from wild-type and Avil-Cre;Nfascfl/fl mice using antibodies against NaCh (red) and myelin basic protein (MBP, blue). Scale bar = 10 µm. (f) Quantification of the relative Na+ channel fluorescence intensity at P9 and P12. N = 3 mice at each time point for each genotype. *p=0.016 at P9; p=0.026 at P12. The number of nodes measured at P9 were 263 and 250, at P12 were 337 and 269 in the Nfascfl/fl and Avil-Cre;Nfascfl/fl dorsal roots, respectively.

DOI: http://dx.doi.org/10.7554/eLife.21392.002

Figure 1.

Figure 1—figure supplement 1. Characterization of Pgk-Cre;Nfascfl/fl and Avil-Cre;Nfascfl/fl mice.

Figure 1—figure supplement 1.

(a) Targeting strategy to generate Nfasc conditional knockout mice. (b) Immunoblot of P6 control and Pgk-Cre;Nfascfl/fl mouse brain lysates using PanNF antibodies and β-tubulin antibodies as a loading control. (c, d) Immunostaining of P4 Pgk-Cre;Nfascfl/+ and Pgk-Cre;Nfascfl/fl mouse sciatic nerves using PanNF (c, red), Nach (d, red), and Caspr (green) antibodies. Scale bar = 10 µm. (e) Transmission electron microscopy of dorsal root paranodes from P12 Nfascfl/fl and Avil-Cre;Nfascfl/fl mice. Scale bar = 0.5 µm. (f) Example of a dorsal root compound action potential from P10 Nfascfl/fl and Avil-Cre;Nfascfl/fl mice. (g) Conduction velocities calculated from the first and second peaks of the compound action potential recorded from P10 dorsal roots. In many recordings, a clear second peak was not always detectable and this was usually the case in the Nfascfl/fl roots. We have only included the second peak where it was clearly resolved in the recordings. ***p=2.62E−08.
Figure 1—figure supplement 2. NF155-dependent paranodal junctions can cluster Na+ channels in the PNS and CNS.

Figure 1—figure supplement 2.

(a) Immunoblot of embryonic day 15 (E15), E18, P1, and P8 spinal cords from Nfasc(4)fl/fl and Thy1-Cre;Nfasc(4)fl/fl mice using PanNF antibodies and actin as a loading control. (bc) Immunostaining of P5 quadriceps nerves (b) and P5 spinal cord (c) from Nfasc(4)fl/fl and Thy1-Cre;Nfasc(4)fl/fl mice using PanNF (red) and other node-specific antibodies (green) as indicated in the figure. Scale bars = 2 µm. (d) The percentage of P5 PNS and CNS nodes from Nfasc(4)fl/fl and Thy1-Cre;Nfasc(4)fl/fl mice that were labeled using antibodies against Na+ channels or NF186. N = 3 mice/genotype. ***p=4.18E−08 (PNS NF186+); p=4.18E−08 (CNS NF186+).

To determine if the paranodal junctions can cluster nodal Na+ channels in the absence of axonal NF186, we examined dorsal roots from both Nfascfl/fl and Avil-Cre;Nfascfl/fl mice by immunostaining. We found clusters of Na+ channels at all nodes of Ranvier at both P9 and P12 (Figure 1b–d). We also examined the clustering of other nodal proteins including AnkG, βIV spectrin, and gliomedin (Gldn; Figure 1c). Whereas Na+ channels, AnkG, and βIV spectrin were unaffected by the loss of NF186, Gldn was no longer restricted to nodes of Ranvier, consistent with gliomedin's function as a ligand for NF186 (Eshed et al., 2005). Similar to Avil-Cre;Nfascfl/fl mice, analysis of peripheral nerves from Thy1-Cre;Nfasc(4)fl/fl mice revealed clustered Na+ channels, AnkG, and βIV spectrin, but loss of the nodal NF186 ligands NrCAM and Gldn (Figure 1—figure supplement 2b and d).

A major function of NF186 during early development is to interact with gliomedin to form heminodal Na+ channel clusters which are precursors to mature nodal Na+ channel clusters (Feinberg et al., 2010). Heminodes are most easily seen in dorsal root ganglion/Schwann cell mixed cultures that have been induced to myelinate. Whereas 84% (n = 128 heminodes) of heminodes from wild-type (WT) cultures had heminodal Na+ channel clusters (Figure 1e), only 6% (n = 113 heminodes) of heminodes from Avil-Cre;Nfascfl/fl mice had heminodal Na+ channel clusters. Instead, Avil-Cre;Nfascfl/fl mice had Na+ channels in the forming nodal gap between adjacent Schwann cells (Figure 1e). The distribution of Na+ channels in the latter supports a role for paranodal junctions in restricting nodal proteins between two forming myelin sheaths (Feinberg et al., 2010). Intriguingly, close examination of Avil-Cre;Nfascfl/fl dorsal roots and Thy1-Cre;Nfasc(4)fl/fl peripheral nerves showed that the intensity of nodal Na+ channel staining was reduced (Figure 1b and Figure 1—figure supplement 2b). Quantification of the nodal Na+ channel fluorescence intensity in Avil-Cre;Nfascfl/fl mice at P9 and P12 showed a significant reduction compared to control Nfascfl/fl mice (Figure 1f). Consistent with this reduced nodal Na+ channel density, compound action potential recordings from P10 dorsal roots (Figure 1—figure supplement 1f) revealed a reduction in conduction velocity in Avil-Cre;Nfascfl/fl mice (Figure 1—figure supplement 1g). The loss of Na+ channels from nodes may account for the juvenile lethality observed in Avil-Cre;Nfascfl/fl mice (i.e., at 7–10 days these mice began to develop a progressive tremor that worsened until most mice died at around 3 weeks of age). Hence, while these observations confirm that paranodal junctions are sufficient for the initial Na+ channel clustering at PNS nodes, they also support previous observations that NF186 plays important roles in maintaining the nodal protein complex which is necessary for proper action potential conduction (Amor et al., 2014; Desmazieres et al., 2014).

The paranodal junctions can cluster Na+ channels in the CNS

To determine if paranodal junctions can cluster Na+ channels in the asbence of axonal NF186 in the CNS, we crossed Nfascfl/fl mice with Six3-Cre mice which are reported to undergo recombination in retinal ganglion cells (Furuta et al., 2000). Immunostaining of Nfascfl/fl mouse optic nerves with a chicken panNF antibody that recognizes both NF186 and NF155 splice variants showed staining at both nodes and paranodes (note the yellow color at nodes due to overlap with Na+ channels in the Nfascfl/fl control optic nerves, Figure 2a). However, we found that some oligodendrocytes in the Six3-Cre;Nfascfl/fl mouse also recombine, resulting in a mosaic nerve with some regions lacking both NF155 and NF186 (Figure 2—figure supplement 1a–b, outlined region). Like Pgk-Cre;Nfascfl/fl mice, regions lacking both NF155 and NF186 had dramatically reduced Na+ channel clustering; when Na+ channels were clustered in regions lacking paranodal NF155, they always colocalized with NF186 in axons corresponding to retinal ganglion cells that presumably did not undergo recombination (Figure 2—figure supplement 1b). Therefore, we restricted our analysis to regions of the Six3-Cre;Nfascfl/fl mouse optic nerve where oligodendrocytes still expressed NF155. Immunostaining showed a pronounced gap in Nfasc immunoreactivity at nodes; occasionally we found some nodes that still had nodal NF186, likely due to a lack of recombination in those neurons (Figure 2a and b, arrows). Consistent with our observations in the PNS, we found robust Na+ channel clustering in the gap between all panNF-labeled paranodal junctions at P17 and P30 in the Six3-Cre;Nfascfl/fl mouse optic nerve (Figure 2a,b,d). Intriguingly, at P60 some nodes had intact panNF-labeled paranodal junctions but without any associated Na+ channel immunostaining (Figure 2c, arrowhead and Figure 2d). However, in contrast to the PNS (Figure 1f), we did not observe a general reduction in Na+ channel fluorescence intensities (Figure 2e). As expected, nodes lacking NF186 in the Six3-Cre;Nfascfl/fl mice had AnkG and βIV spectrin (Figure 2—figure supplement 1c). Furthermore, we did not observe any invasion of Kv1.2-subunit containing K+ channels into paranodal regions, indicating that the paranodal axoglial junctions remain intact in the Six3-Cre;Nfascfl/fl mouse optic nerve (Figure 2—figure supplement 1c). Similarly, analysis of nodes of Ranvier in the spinal cords of Thy1-Cre;Nfasc(4)fl/fl showed that despite the loss of NF186, there was robust clustering of Na+ channels, AnkG, and βIV spectrin (Figure 1—figure supplement 2c and d). However, the chondroitin-sulfate proteoglycan brevican (Bcan), a core nodal ECM protein that binds to NF186 (Susuki et al., 2013), could not be detected (Figure 1—figure supplement 2c).

Figure 2. NF155-dependent paranodal junctions can cluster Na+ channels in the CNS.

(ac) Immunostaining of P17, P30, and P60 optic nerves from Nfascfl/fl and Six3-Cre;Nfascfl/fl mice using chicken panNF (green) and mouse monoclonal pan Na+ channel (NaCh, red) antibodies. Scale bar, 10 µm. (d) The percentage of panNF nodes that have Na+ channels. N = 4 animals per time point per genotype. *p=0.03. (e) Nodal Na+ channel immunofluorescence intensity at P17, P30, and P60 in optic nerves from Nfascfl/fl and Six3-Cre;Nfascfl/fl mice. N = 4 animals per time point per genotype.

DOI: http://dx.doi.org/10.7554/eLife.21392.005

Figure 2.

Figure 2—figure supplement 1. Characterization of Six3-Cre;Nfascfl/fl mice.

Figure 2—figure supplement 1.

(a, b) Immunostaining of Nfascfl/fl (a) and Six3-Cre;Nfascfl/fl (b) optic nerves using antibodies against panNF (green) and Na+ channels (red). The dotted line in (b) indicates a region where recombination occurred in oligodendrocytes. Scale bar = 50 µm. (c) Immunostaining of Nfascfl/fl and Six3-Cre;Nfascfl/fl nodes of Ranvier using antibodies against panNF (green) and AnkG, βIV spectrin, or Kv1.2 (red). Scale bar = 5 µm. (d) Optic nerve compound action potential recordings from P17 Nfascfl/fl and Six3-Cre;Nfascfl/fl mice. (e) Conduction velocities calculated from the peak of the compound action potential recorded from P17, P30, and P60 optic nerves. P17: ***p=2.75E−07. P30: ***p=2.47E−06. P60: *p=0.03. (f, g) Transmission electron microscopy of Nfascfl/fl(F) and Six3-Cre;Nfascfl/fl (G) optic nerves. Scale bar = 1 µm.

Similar to our observations in the PNS, compound action potential recordings from Nfascfl/fl and Six3-Cre;Nfascfl/fl mouse optic nerves showed a significant reduction in conduction velocity at all time points analyzed (Figure 2—figure supplement 1d and 1e). The reduced conduction velocity does not reflect impaired myelination (Figure 2—figure supplement 1f and 1g), but instead likely reflects the combined effects of decreased nodal Na+ channel density, loss of nodal extracellular matrix molecules (Weber et al., 1999; Bekku et al., 2010), and loss of some paranodal junctions due to NF155-deficient oligodendrocytes (Figure 2—figure supplement 1b). Together, these observations reinforce the concept that paranodal junctions in CNS myelinated axons are sufficient to induce Na+ channel clustering in the absence of NF186. Furthermore, they extend our understanding of CNS nodes by showing that assembly of the CNS nodal ECM depends on NF186, and that as in the PNS, NF186 may contribute to the maintenance of nodal Na+ channel densities required for proper action potential propagation.

Paranodal junctions constitute a second mechanism for nodal Na+ channel clustering

How are Na+ channels clustered in the absence of NF186? The prevailing evidence points to a model where the paranodal junctions support the clustering of Na+ channels (Zonta et al., 2008; Feinberg et al., 2010; Susuki et al., 2013). To extend these previous studies and to directly test this hypothesis we generated double-conditional knockout mice lacking both Caspr and NF186 in sensory neurons: Avil-Cre;Nfascfl/fl;Casprfl/fl. In control ventral roots NF186 is found at nodes, Caspr and NF155 at paranodes, and Kv1.1 K+ channels at juxtaparanodes (Figure 3a). Immunostaining of dorsal roots from Avil-Cre;Nfascfl/fl;Casprfl/fl mice showed complete loss of Caspr-labeled paranodal junctions and nodal NF186, as well as a redistribution of Kv1.1 K+ channels into paranodal regions (Figure 3b, arrowheads). Furthermore, immunostaining for Nav1.6 Na+ channels or βIV spectrin showed a complete loss of clustering of these nodal proteins (Figure 3c,d). Thus, loss of both NF186 and the paranodal axoglial junctions blocks the assembly of nodes, confirming that intact paranodes function as a second, independent mechanism for Na+ channel clustering.

Figure 3. Paranodes can cluster Na+ channels at nodes of Ranvier.

Figure 3.

(a, b) Immunostaining of P14 Nfascfl/fl;Casprfl/fl and Avil-Cre;Nfascfl/fl;Casprfl/fl ventral (a) and dorsal (b) roots using antibodies against panNF (blue), Caspr (green), and Kv1.1 (red). Arrows in (b) indicate the location of nodes. Scale bars, 10 µm. (c, d) Immunostaining of P14 Nfascfl/fl;Casprfl/fl and Avil-Cre;Nfascfl/fl;Casprfl/fl dorsal roots using antibodies against Nav1.6 Na+ channels (c, green), βIV spectrin (d, green), and Kv1.1 (red). Arrows indicate the location of nodes. Scale bars, 10 µm. (e) The percentage of nodes or paranodes labeled with the indicated antibodies in P14 Nfascfl/fl;Casprfl/fl and Avil-Cre;Nfascfl/fl;Casprfl/fl dorsal roots. N = 3 animals per genotype. Number of nodes analyzed in Nfascfl/fl;Casprfl/fl dorsal root: PanNF, 288; Caspr, 298; Nav1.6, 301. Number of nodes analyzed in Avil-Cre;Nfascfl/fl;Casprfl/fl dorsal root: PanNF, 365; Caspr, 365; Nav1.6, 336. *PanNF, p=0.0002; Caspr, p=8.07E-06; Nav1.6, p=0.0012.

DOI: http://dx.doi.org/10.7554/eLife.21392.007

The spectrin-based paranodal cytoskeleton underlies the paranodal clustering mechanism

How do paranodal junctions act as a barrier to restrict nodal proteins to the gaps in the myelin sheath? We previously showed that the enrichment of AnkG in the axon initial segment (AIS) depends on an αII/βII spectrin-dependent submembranous cytoskeleton that functions as an intra-axonal boundary (Galiano et al., 2012). Paranodes also have a specialized αII/βII spectrin-based axonal cytoskeleton whose assembly requires the NF155-dependent paranodal junction (Ogawa et al., 2006). Thus, the paranodal cytoskeleton may function as repeating intra-axonal boundaries that restrict AnkG and Na+ channels to nodes. To test this hypothesis, we generated Avil-Cre;Nfascfl/fl;Sptbn1fl/fl mice that lack both NF186 and βII spectrin in PNS sensory neurons. Importantly, 94.1% and 94.6% of nodes in control and Avil-Cre; Sptbn1fl/fl mice, respectively, had clustered Na+ channels (p=0.28 by Student’s t-test; n = 3 independent animals for each genotype and a total of 796 and 464 nodes were examined in control and cKO mice, respectively). Furthermore, at individual nodes in the Avil-Cre;Sptbn1fl/fl mice we found Na+ channel fluorescence intensities of 1.035 and 0.935 (arbitrary units) in control and Avil-Cre;Sptbn1fl/fl mice, respectively (p=0.44 by Student’s t-test; n = 4 mice of each genotype with a total of 100 and 92 nodes measured in control and cKO mice, respectively). Thus, Avil-Cre;Sptbn1fl/fl mice have normal Na+ channel clustering and densities of Na+ channels, indicating that NF186 is sufficient to cluster nodal Na+ channels. Compared to single knockouts (Figure 1 and (Zhang et al., 2013) and Nfascfl/f;Sptbn1fl/fl mice), animals lacking both NF186 and βII spectrin in their sensory axons had an extreme deficit in proprioception (Video 1). Electron microscopy showed paranodes, but thinner myelin in Avil-Cre;Nfascfl/fl;Sptbn1fl/fl mice (Figure 4a–d), whereas mice lacking βII spectrin had normal myelination (Zhang et al., 2013). To confirm that paranodal junctions are intact we immunostained paranodes in dorsal roots using antibodies to Caspr. Both Nfascfl/fl and Avil-Cre;Nfascfl/fl;Sptbn1fl/fl mice had normal paranodal Caspr (Figure 4e), indicating intact paranodal junctions. Nevertheless, immunostaining of roots lacking NF186 and βII spectrin revealed a profound loss of Na+ channel, AnkG, and βIV spectrin clustering (Figure 4F–I) at P10 and P15 despite intact NF155-dependent paranodal junctions. These results extend the model for how Na+ channels are clustered at nodes by demonstrating that the paranodal junction barrier mechanism is mediated by the βII spectrin-based paranodal cytoskeleton.

Video 1. Movie of P17 Nfascfl/fl;Sptbn1fl/fl and P17 Avil-Cre;Nfascfl/fl;Sptbn1fl/fl mice.

Download video file (26.1MB, mp4)
DOI: 10.7554/eLife.21392.009

This video relates to Figure 4.

DOI: http://dx.doi.org/10.7554/eLife.21392.009

Figure 4. The paranodal spectrin-based cytoskeleton can assemble nodes of Ranvier.

Figure 4.

(a, b) TEM of longitudinal sections from dorsal roots of Nfascfl/fl;Sptbn1fl/fl (a) and Avil-Cre;Nfascfl/fl;Sptbn1fl/fl mice (b). Scale bars, 0.5 µm. (c, d) TEM of cross sections through dorsal roots of Nfascfl/fl;Sptbn1fl/fl (c) and Avil-Cre;Nfascfl/fl;Sptbn1fl/fl mice (d). Scale bars, 4 µm. (e) Immunostaining of P10 Nfascfl/fl;Sptbn1fl/fl and Avil-Cre;Nfascfl/fl;Sptbn1fl/fl dorsal roots using antibodies against Na+ channels and Caspr shows intact paranodal junctions. Scale bar, 5 µm. (fh) Immunostaining of P15 Nfascfl/fl;Sptbn1fl/fl and Avil-Cre;Nfascfl/fl;Sptbn1fl/fl dorsal roots using antibodies against Na+ channels (e, red), AnkG (f, red), βIV spectrin (g, red) and panNF (green). Scale bar, 5 µm. (i) The percentage of nodes labeled for Na+ channels in P10 and P15 Nfascfl/fl;Sptbn1fl/fl and Avil-Cre;Nfascfl/fl;Sptbn1fl/fl dorsal and ventral roots. N = 4 animals per age and genotype. ***p=2.0E−06 at P10; p=6.26E−08 at P15.

DOI: http://dx.doi.org/10.7554/eLife.21392.008

Discussion

We used conditional knockout mice to determine the contributions of paranodal junctions and the paranodal spectrin-based cytoskeleton to Na+ channel clustering at nodes of Ranvier. Our results confirm and extend the model that two glia-dependent mechanisms direct Na+ channel clustering at nodes of Ranvier (Feinberg et al., 2010; Susuki et al., 2013). These mechanisms consist of: (1) glia-derived adhesion/ECM proteins working through NF186, and (2) the assembly of a paranodal junction dependent cytoskeletal barrier containing βII spectrin (Figure 5A). These two mechanisms converge on the clustering of the axonal cytoskeletal scaffolding proteins AnkG and βIV spectrin at the nodes of Ranvier (Ho et al., 2014). Accordingly, the loss of NF186 can be partially compensated for by the paranodal junction-based cytoskeletal barrier since Na+ channels may still be clustered, but they cannot be maintained in the absence of NF186 (Figure 5B). With the same rationale, Na+ channels still cluster at nodes in the absence of the paranodal junction barrier (by genetically deleting cell adhesion molecules that mediate axoglial contact at this site (Bhat et al., 2001; Boyle et al., 2001; Pillai et al., 2009), or βII spectrin [Zhang et al., 2013]) due to the function of NF186 at the forming nodes (Figure 5C). When both NF186 and the paranodal junction based spectrin cytoskeleton are lost, Na+ channels cannot be clustered at nodes (Figure 5D).

Figure 5. Two glia-dependent mechanisms can cluster Na+ channels at nodes of Ranvier.

Figure 5.

(a) Cartoon of control node of Ranvier. (b) Na+ channels are clustered in NF186-deficient mice by a paranodal spectrin cytoskeleton. However, the density of Na+ channels is reduced in the PNS. (c) Na+ channels are clustered in NF155-deficient and other paranodal mutant mice by NF186-ECM interactions. (d) Na+ channels fail to cluster at nodes of Ranvier when both NF186 and the paranodal cytoskeleton are lost.

DOI: http://dx.doi.org/10.7554/eLife.21392.010

How do glia direct the assembly of the paranodal axonal cytoskeleton? Glial NF155 binds to a heterodimeric cell adhesion molecule complex consisting of axonal Caspr and contactin (Charles et al., 2002). In myelinating glia, NF155 also interacts with ankyrinB (AnkB) and AnkG to facilitate the assembly of the paranodal junction, which in turn controls the rapid development of Na+ channel clustering in the CNS (Chang et al., 2014). Axonal Caspr has a cytoplasmic protein 4.1 binding domain, and protein 4.1B is enriched at paranodes and juxtaparanodes. Protein 4.1B binds to αII/βII spectrin and mice deficient in either 4.1B or βII spectrin have impaired axonal membrane domain organization with mislocalization of juxtaparanodal Kv1 K+ channels due to loss of the paranodal boundary (Horresh et al., 2010; Einheber et al., 2013; Zhang et al., 2013). Together, these observations suggest that in myelinated axons, glial NF155 directs the assembly of the αII/βII spectrin-based paranodal cytoskeleton through Caspr and protein 4.1B. One prediction from this model is that mice lacking both NF186 and protein 4.1B should phenocopy the Avil-Cre;Nfascfl/fl;Sptbn1fl/fl mice we analyzed.

How does the βII spectrin-based paranodal cytoskeleton function as a barrier to restrict AnkG/βIV spectrin to nodes of Ranvier? We speculate that similar to the AIS and distal axon (Galiano et al., 2012), different spectrin and ankyrin cytoskeletons occupy mutually exclusive domains due to steric effects. Thus, domains containing βIV spectrin are mutually exclusive to those containing βII spectrin. Recent experiments using super-resolution microscopy reveal that the βII spectrin-based cytoskeleton in unmyelinated axons is organized into repeating rings of spectrin tetramers and actin (Xu et al., 2013). However, the high density of αII/βII spectrin found at paranodes may not be organized in the same way, and this high density may function to restrict ankG/βIV spectrin-containing cytoskeletons to the forming nodes as the myelin sheath elongates. While the conclusion that the paranodal junction contributes to the clustering of nodal Na+ channels is consistent with previous studies (Rasband et al., 1999; Zonta et al., 2008; Feinberg et al., 2010), it is different from the one reached by Thaxton et al. (Thaxton et al., 2011). To specifically target NF186 these authors used a Cre-recombinase under control of the Neurofilament light chain (Nefl-Cre). Unfortunately, this Cre-driver line has poor penetrance and poor temporal precision (Thaxton et al., 2011). Since we also observed reduced densities of nodal Na+ channel clustering (in the PNS) and even complete loss of channels in some NF186-deficient axons (both PNS and CNS) with increasing age, we speculate the results of Thaxton et al. (2011) reflect the role of NF186 for maintenance of Na+ channel clusters rather than their initial assembly. This conclusion is consistent with their observation that in P11 sciatic nerves, 30% of nodes lacking NF186 still had Na+ channel clustering. It was with these concerns in mind that we used two different Nfasc alleles and three different highly penetrant and temporally precise Cre-driver lines. Why are Na+ channel intensities at PNS nodes reduced but normal at CNS nodes in NF186-deficient axons? We speculate that differences in primary and secondary clustering mechanisms can account for the reduced Na+ channel density in the PNS. For example, we previously proposed the main clustering mechanism in the PNS is through ECM/NF186 rather than the paranode (Feinberg et al., 2010). In contrast, since Na+ channel clustering in the CNS is temporally correlated with assembly of the paranodal junction (Rasband et al., 1999), but not the assembly of the CNS nodal ECM (Susuki et al., 2013), our results are consistent with the idea that the main driver of CNS nodal Na+ channel clustering is the paranodal cytoskeleton-based mechanism. Since the main paranode-based mechanism is intact in Six3-Cre;Nfascfl/fl mice, their Na+ channels may be more stable.

Our discovery that paranodal cytoskeletons play an important role in node of Ranvier formation may also have important implications for disease and injury. Spectrins are potent substrates for calpain-mediated proteolysis (Siman et al., 1984). Thus, injury or disease could affect the integrity of this clustering mechanism. This could be particularly detrimental for peripheral and central autoimmune diseases that have as their molecular targets nodal antigens including NF186 (Mathey et al., 2007; Ng et al., 2012; Uncini et al., 2013) resulting in a 'double-hit': disruption of nodal neurofascin and paranodal junction cytoskeletons. Consistent with this idea, calpain inhibitors preserve nodes of Ranvier in animal models of Guillain-Barre syndrome where nodal antigens are thought to be targeted in the disease (McGonigal et al., 2010).

In conclusion, we confirmed that two glia-dependent mechanisms control the clustering of Na+ channels at the nodes of Ranvier. These mechanisms depend on specific cell adhesion molecules that mediate the contact between myelinating glia and their underlying axons at the forming nodes and the paranodal junction. Furthermore, we extended these conclusions by showing that the paranodal junction-dependent mechanism of Na+ channel clustering requires the βII spectrin-based cytoskeleton that is assembled at this site.

Materials and methods

Animals

Animals were housed at the Center for Laboratory Animal Care at Baylor College of Medicine, the Weizmann Institute of Science, and the University of Edinburgh. All procedures were approved by the Institutional Animal Care and Use Committees of each institution, and conform to the United States Public Health Service Policy on Human Care and Use of Laboratory Animals. The production of the Sptbn1fl/fl (also referred to as Spnb2fl/fl) and floxed exon 4 Nfascfl/fl mice have been described (Zonta et al., 2011; Zhang et al., 2013). The floxed exon 6 + 7 Nfascfl/fl mice were generated by the Mouse Clinical Institute – Institut Clinique de la Souris (ICS) in France (mouse line E160). The Pgk-Cre, Avil-Cre and Six3-Cre have all been described elsewhere (Lallemand et al., 1998; Furuta et al., 2000; Zhou et al., 2010). Thy1-Cre mice were generated as described for Thy1-CreERT2 mice (Zonta et al., 2011) except the sequence encoding Cre in the pCreERT2 vector was amplified by PCR to introduce flanking Xho1 sites which were then used to introduce the Cre sequence into the pTSC21k vector. Casprfl/fl mice were generated by a standard gene targeting approach, using a vector containing a neomycin (Neo) resistance gene flanked by two FRT sites, 5’ 3.8 kb and 3’ 3.2 kb fragments homologous to the genomic Caspr locus, and two loxP sites (Golan et al., 2013). Targeted mice were crossed with FLP deleter mice (Farley et al., 2000) to remove the Neo cassette, leaving the first targeted exon floxed by a pair of loxP sites.

Antibodies

We used the following mouse antibodies: anti-Pan Na+ channel (Rasband et al., 1999; RRID:AB_477552), anti-ankyrinG (clones N106/36 [RRID: AB_10673030] and 106/65 [RRID: AB_10675130]; Neuromab), anti-Kv1.1 (clone K36/15 [RRID: AB_2128566]; Neuromab), anti-gliomedin (Eshed et al., 2005), and anti-β tubulin I (Sigma-Aldrich T7816, clone SAP 4G5; RRID: AB_261770). We used the following rabbit antibodies: anti-βIV spectrin (Yang et al., 2004; RRID: AB_2315634), anti-Nav1.6 (Alomone labs, ASC_009; RRID:AB_2040202), anti-Kv1.2 (Ogawa et al., 2008) and anti-Neurofascin 186 (MNF2; (Tait et al., 2000). We used a sheep pan anti-Neurofascin antibody (PanNF, NFC3) raised against the identical peptide previously described for a rabbit antibody (NFC1; (Tait et al., 2000). We used the following chicken antibodies: anti-Pan Neurofascin (AF3235, R&D systems; RRID:AB_10890736). We used the following rat antibodies: anti-myelin basic protein (MBP) (Chemicon, MAB386; RRID:AB_94975). Fluorescent secondary antibodies were purchased from Invitrogen and Jackson Laboratories.

Immunofluorescence

Optic and peripheral nerves were rapidly dissected and immediately fixed in ice-cold 4% paraformaldehyde in 0.1 M phosphate buffer (PB), pH 7.2, for 30 min. After fixation, nerves were transferred to ice-cold 20% sucrose (w/v) in 0.1 M PB until equilibrated. The tissue was then frozen in Tissue-Tek OCT mounting medium. Teased sciatic nerves were prepared and immunolabeled as previously described (Poliak et al., 2001). Briefly, sciatic nerves were fixed as described above, de-sheathed and teased using fine forceps on SuperFrost Plus slides (Menzel-Gläser, Thermo Scientific), air dried over-night, and then kept frozen at −20°C till use. For the isolation of dorsal and ventral roots, spines were dissected and submerged in 2% fresh PFA for 2 hr at 4°C. They were then transferred to 0.5M EDTA, pH 8.0, overnight on ice at 4°C. The next day, spinal cords were excised from the spinal bones with their bound ventral and dorsal roots, and immersed in ice cold PBS overnight on ice at 4°C. The next day, we carefully removed the roots and teased the nerve bundles with fine forceps or thin needles on SuperFrost Plus slides, air dried over-night, and then kept frozen at −20°C till use. In some cases, optic nerves and dorsal roots were sectioned and mounted on slides. All tissues for immunostaining were blocked and permeabilized in 0.1 M PB, 10% normal goat serum, and 0.3% or 0.5% TX-100 for one hour. Primary antibodies were then diluted either in the same blocking buffer or in blocking buffer containing 0.1% TX-100 and added to sections overnight. Labeled sections were then washed 3X in the blocking buffer or PBS for 5 min each. Secondary antibodies were then diluted in blocking buffer and added to the tissue sections for one hour. Sections were then washed three times in PBS for 5 min each. The fluorescently immunolabeled sections were then covered with coverslips using anti-fade mounting medium (KPL, MD) and imaged using a Zeiss Axioimager Z1 with apotome attachment for structured illumination, a Zeiss LSM700 confocal microscope or Leica TCL-SL confocal microscope and 63X objective, numerical aperture 1.4. Images were acquired and processed using the Zen software (Carl Zeiss) or Leica proprietary software. Signal intensity analysis was performed on images obtained from the Zeiss confocal microscope, and performed using Volocity (Perkin-Elmer) or using Zeiss Zen software. For the measurement of node fluorescence intensity, sections were carefully handled side-by-side with the same stainings, exposure times, etc. Nodal intensities were obtained using two separate methods: 1) by dividing the fluorescence intensity by the area of the node, and 2) normalizing the nodal fluorescence intensity to that of the flanking paranodal Caspr. Both methods were used in the PNS and gave similar results. The data presented in the PNS (as shown in Figure 1f) was obtained in the Peles laboratory using the first method, while the data in the CNS was obtained in the Rasband laboratory using the second method.

Electrophysiology

CAP recordings in dorsal roots and optic nerves were performed as described elsewhere (Rasband et al., 1999; Susuki et al., 2007). Briefly, roots were rapidly dissected and placed in a continuously perfused, oxygenated, and temperature controlled (23°C) recording chamber. A standard Locke’s solution consisting of (in mM): NaCl 154, KCl 5.6, CaCl2 2,d-glucose 5, and HEPES 10, pH 7.4. The ends of each root was drawn into a suction electrode and after stimulation responses were recorded. Stimuli consisted of 50 μsec pulses with amplitudes adjusted to ∼10% above the level required for a maximum response. Conduction velocities were calculated by measuring the length of the nerve and dividing this by the latency from stimulation to the peak of the CAP.

Electron microscopy

Electron microscopy was performed as described before (Chang et al., 2010). Wild type and mutant animals were sacrificed, and their sciatic nerves exposed and fixed by continuous dripping of fresh fixative for 40 min (fixative containing 4% paraformaldehyde, 0.1 M sodium cacodylate, and 2.5% glutaraldehyde, pH 7.4, in PBS). Sciatic nerves were then carefully dissected, placed in fresh fixative, and left to rotate over-night at ambient temperature while protected from light. Samples were then transferred to 4°C till processing. For the fixation of dorsal and ventral roots, spines were dissected and submerged in fixative, rotating over-night at ambient temperature while protected from light. The next day dorsal and ventral roots were very carefully dissected and placed in fresh fixative, and then kept at 4°C till processing. Processing was carried out as previously described (Poliak et al., 2003). Briefly, tissues were washed four times in 0.1 M cacodylate-buffer, incubated with gentle agitation for 1 hr in osmium solution (1% OsO4, 0.5% K2Cr2O7 and 0.5% K4[Fe(CN)6]⋅3H2O in 0.1 M cacodylate-buffer) and subsequently washed with 0.1 M cacodylate-buffer and with millipore filtered H2O. For better contrast resolution, tissues were impregnated with uranyl-acetate (2% in H2O for 1 hr) before being washed twice in H2O. After a series of dehydrating steps in rising EtOH-concentrations (50%, 70%, 96% each twice for 5 min, 100% three times 10 min), tissues were embedded in propylene oxide (3 × 10 min) and incubated overnight in 30% Epon ‘Hard’ (EMS) diluted in propylene oxide. Next, Epon was introduced gradually into the samples (50% and 70% 24 hr each, 100% 48 hr). Sciatic and optic nerves were then transferred into backing-molds with 100% Epon and left to harden for three days in an oven at 65°C. Sections were subsequently sectioned and examined using a Philips CM-12 transmission electron microscope.

Tissue lysate preparation and Western blot analysis

Dissected tissues were snap-frozen in liquid nitrogen and kept at −80°C until processing. Homogenization was performed in RIPA buffer (50 mM Tris-HCl pH = 7.4, 1% NP-40, 0.25% Sodium-deoxycholate, 150 mM NaCl and 1 mM EDTA in H2O, supplemented with a protease inhibitors cocktail (Sigma-Aldrich). Homogenates were incubated on ice for 40 min (vortexed every 5 min), centrifuged at 15,000 rpm for 30 min and supernatant was collected and kept at −80°C. Protein concentration was determined using a BCA kit (Pierce). Lysates were resolved by SDS-PAGE in Tris-Acetate 7% gels, and transferred to a nitrocellulose membrane (110V, 1 hr). Membranes were then incubated with blocking solution (5% BSA in TBS-T (5 mM Tris, 15 mM NaCl and 0.05% tween in H2O pH = 7.5)) for 60 min and reacted with the appropriate antibodies for 12 hr at 4°C. Membranes were then washed in TBS-T (3 × 5 min) and incubated with horseradish-peroxidase-coupled secondary antibody for 45 min at room temperature. Membranes were washed again and reacted with ECL (Pierce). Membranes were visualized using the Chemidoc MP Digital chemiluminescent gel documentation system (Bio-Rad).

Dissociated dorsal root ganglia (DRG) myelinating cultures

Dissociated DRG mixed myelinating cultures were prepared as described (Eshed et al., 2005). Dorsal root ganglia were dissected from mouse embryos at 13.5 days of gestation, collected in Leibovitz’s L15 medium (Gibco) and dissociated with trypsin (without EDTA; Cat. # 25050, Gibco). After dissociation, 40,000 cells were plated on EtOH-washed 13 mm glass-coverslips (Thermo) pre-coated with 0.4 μg/ml Matrigel (BD Biosciences) and 10 μg/ml Poly-D-lysine (Sigma-Aldrich). DRG cultures were maintained for a day in NB medium (2% B27 (Gibco), 50 ng/ml NGF (Alomone labs) and 1% glutamax in neurobasal medium (Gibco)) and then switched to BN medium (1% ITS supplements (Sigma- Aldrich), 0.2% BSA, 4 g/L D-glucose, 50 ng/ml NGF and 1% glutamax in basal Eagle’s medium (BME; Gibco)). Myelination was induced after 10 additional days by supplementing with 50 μg/ml L-ascorbic acid (Sigma-Aldrich) and 15% heat inactivated FCS (BNC medium).

Statistical analysis

Sets of age-matched cKO or KO mice of mixed sexes and their controls were randomly collected from littermates or from litters which had similar dates of birth. Experimenters were blinded to the genotype of the animals. The statistical significance of each comparison was determined using a student's t-test or one-way ANOVA. Results are given as mean +/− SEM.

Acknowledgements

This work was supported by NIH grants (NS069688 and NS044916 to MNR, and NS50220 to EP), the Dr. Miriam and Sheldon Adelson Medical Research Foundation (MNR and EP), the US-Israel Binational Science Foundation (MNR and EP), The Israel Science Foundation (EP), the Wellcome Trust (PJB) and MRC (PJB). EP is the Incumbent of the Hanna Hertz Professorial Chair for Multiple Sclerosis and Neuroscience.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Funding Information

This paper was supported by the following grants:

  • Wellcome to Peter J Brophy.

  • Medical Research Council to Peter J Brophy.

  • National Institutes of Health NS044916 to Matthew N Rasband.

  • Dr. Miriam and Sheldon G. Adelson Medical Research Foundation to Matthew N Rasband, Elior Peles.

  • United States-Israel Binational Science Foundation to Matthew N Rasband, Elior Peles.

  • National Institutes of Health NS069688 to Matthew N Rasband.

  • National Institutes of Health NS050220 to Elior Peles.

  • Israel Science Foundation to Elior Peles.

Additional information

Competing interests

The authors declare that no competing interests exist.

Author contributions

VA, Data curation, Formal analysis, Investigation.

CZ, Data curation, Formal analysis, Investigation.

AV, Data curation, Formal analysis, Investigation.

AZ, Data curation, Formal analysis, Investigation.

DRZ, Data curation, Formal analysis, Investigation.

YE-E, Data curation, Formal analysis, Investigation.

PJB, Conceptualization, Formal analysis, Supervision, Funding acquisition, Methodology, Project administration, Writing—review and editing.

MNR, Conceptualization, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Methodology, Writing—original draft, Project administration, Writing—review and editing.

EP, Conceptualization, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Methodology, Writing—original draft, Project administration, Writing—review and editing.

Ethics

Animal experimentation: Animals were housed at the Center for Laboratory Animal Care at Baylor College of Medicine (protocol AN4634), the Weizmann Institute of Science, and the University of Edinburgh. All procedures were approved by the Institutional Animal Care and Use Committees of each institution, and conform to the United States Public Health Service Policy on Human Care and Use of Laboratory Animals.

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eLife. 2017 Jan 30;6:e21392. doi: 10.7554/eLife.21392.012

Decision letter

Editor: Dwight E Bergles1

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your article "The Paranodal Cytoskeleton Clusters Na+ Channels At Nodes of Ranvier" for consideration by eLife. Your article has been reviewed by three peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by Richard Aldrich as the Senior Editor.

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

This study re-evaluates the role of nodal versus paranodal interactions in clustering sodium channels (NaChs) at nodes of Ranvier in the PNS and CNS. Using in vivo genetic manipulations to selectively delete NF186 from different populations of PNS and CNS neurons, the authors find NaV channel clusters remain at nodes in the absence of NF186. This finding is, on the surface, different from that reported by Thaxton et al. in 2011, in which loss of NF186 was reported to result in a loss of NaCh clusters. The authors suggest that this discrepancy is due to the poor efficiency of the Cre line used in the 2011 report, and further, that NF186 plays an important role in maintaining NaCh clusters rather than in initially forming clusters. Consistent with this interpretation, the 2011 report observed some NaCh clusters in P11 sciatic nerves, and both groups find a decrease in NaCh clusters with age.

This study is important, as it provides a compelling explanation for previous findings, reconciles data from different manipulations, and describes a role for glial-axonal paranodal interactions through NF155 and βII spectrin in the initial localization of NaV channels to nodes. The in vivo analyses and use of multiple cre lines enhance the findings and impact. There was a consensus that the manuscript is appropriate for publication in eLife, provided the following concerns are addressed.

Concerns with the text:

1) In some positions, the paper is written in a way as if almost nothing was known before. For example, Abstract: "but the specific mechanisms remain unclear." It would be important to carefully re-write the paper to make clear where the model established for example in Susuki et al. has been reinforced and where it has been extended. Novel aspects established in their current study should be highlighted, for example, the role of paranodal spectrin and the role of neurofascin186 in maintaining sodium channel clustering.

2) The paper would benefit from a graphical model depicting the key insights of the paper and a model that summarizes our current understanding of node assembly.

3) It isn't clear from the experiments whether the pathway proposed is merely an example of redundancy or whether this interaction is important for some aspect of initial node formation. It seems that βII spectrin deletion alone does not alter nodal clustering, suggesting that under normal conditions, NF186 is sufficient. It would be helpful if the authors were to discuss this issue and provide some quantification of NaCh density in the βII knockout (see below).

4) Some of the PNS experiments deleting NF186 appear to repeat work that is already published. Thus, Feinberg et al., 2010, cocultured DRG neurons from NF-/- mice with wt Schwann cells and found Na+ channels clustered at nodes, but not heminodes. This is also reported here in Figure 1E, although with a different mutant. Was a different result expected? The Salzer lab used RNAi to knock down NF186 in similar cultures, and found no Na+ channel clustering at regions that they interpreted as nodes, but had wide gaps (JCB 177:857, 2007).

Concerns about immunocytochemical quantification:

1) Results section. NaCh immunofluorescence intensity was measured in the conditional deletion and compared with a control. This is a very difficult measurement, requiring careful controls. All we are told is that they used the Volocity software. For example, comparing the dorsal root images in Figure 1B, the nodal label looks weaker in the deletion, but so does the Caspr label. How were the measurements normalized to be able to compare different sections? Were the sections mounted on the same slide so that they would be treated identically?

2) In the Abstract and the Discussion the authors do not address the fact that NaCh clustering, while present in the absence of NF186, is markedly decreased and the mice have a profound deficit in action potential conduction. Thus, the results provide a more nuanced picture than is presented. It would be helpful if this issue were addressed. As the density of NaCh is affected, the authors should provide a consistent assessment of NaCh content in the different mouse lines (Although immunolabeling is not truly quantitative, it would provide a means to compare relative abundance, provided processing and image acquisition are standardized). For example, in Figure 1F, NaCh immunostaining intensity is quantified, providing an explanation for the reduction in AP conduction velocity, but similar data are not provided for the other mouse lines and no density measures are provided for CNS axons.

3) The authors conclude that paranodal interactions are "sufficient for the initial NaCh clustering at PNS nodes." However, they do not provide evidence that the density of NaChs achieved at nodes in NF186 deficient axons is similar to that which occurs in wild type. This statement should be revised or additional data provided to support this conclusion.

4) As pointed out by the authors, some nodes in Six3-Cre;Nfascfl/flmice at P60 lacked NaCh clusters but had paranodal NF immunoreactivity. The authors need to assess whether these axons had intact βII spectrin. If so, it would contradict the primary conclusion of the study and should be discussed. Is it possible that different neurons may exhibit a different dependence on NF186/NF155 interactions for NaCh clustering and/or maintenance?

5) In Figure 1—figure supplement 2 and Figure 2—figure supplement 1, it would be helpful if the authors provided quantification of the number of positive nodes with βII spectrin, βIV spectrin, AnkG, etc. (Figure 1—figure supplement 2B) to demonstrate the robustness of these observations. 2. Figure 4A-D and subsection “The spectrin-based paranodal cytoskeleton underlies the paranodal clustering mechanism”. The thinner myelin seen in NF186/βII spectrin null mice is interesting. The authors do not speculate on a possible mechanism for this. Further, while they state that paranodal junctions are intact, no transverse bands are visible in Figure 4B, while the control (Figure 4A) has hints of them. The presence of Caspr may not guarantee "intact paranodal junctions". The authors may wish to refer to Mierzwa et al., J. Comp. Neurol. 518:2841, 2010.

Concerns about the electrophysiological analysis

1) The electrophysiology raises a number of questions. Firstly, the methods simply refer to previous papers. There should be a few sentences describing: the basic technique (wires? suction electrodes?); stimulus parameters; the bath solution recipe and if it was oxygenated; and the temperature. Secondly, it would be helpful to have a conduction velocity for all peaks. Is the second peak in Figure 1—figure supplement 1F attributable to unmyelinated axons? Why is there such a large range of velocities in the control in Figure 1—figure supplement 1G? Some of these may be so slow as to be from unmyelinated fibers. The Avil-Cre NF(f/f) in Figure 1—figure supplement 1F does not just show a decreased velocity of the fast peak. There is a very pronounced second peak. What is its velocity? Does it represent small myelinated axons or unmyelinated axons? Has there been a shift in the relative numbers of these fibers from the NF(f/f) control?

2) Could the decreased conduction velocity in the CNS in the Six3-Cre NF(f/f) optic nerves be due to the loss of ECM proteins that was seen? The authors have shown previously that loss of Tenascin-R lowers velocity.

eLife. 2017 Jan 30;6:e21392. doi: 10.7554/eLife.21392.013

Author response


Concerns with the text:

1) In some positions, the paper is written in a way as if almost nothing was known before. For example, Abstract: "but the specific mechanisms remain unclear." It would be important to carefully re-write the paper to make clear where the model established for example in Susuki et al. has been reinforced and where it has been extended. Novel aspects established in their current study should be highlighted, for example, the role of paranodal spectrin and the role of neurofascin186 in maintaining sodium channel clustering.

We have carefully revised our manuscript to make emphasize what was has been reinforced or confirmed and what is novel about our study. We carefully examined every major section (see summary below):

Abstract: deleted statement that the "[…] specific mechanisms remain unclear."

Introduction: we state what previous evidence supported a paranodal junction-dependent mechanism, and we highlight where the controversy remains surrounding the necessity of NF186. Finally, we conclude the introduction by stating that we confirmed the role of the paranodal junction and extend our understanding of node formation by revealing the requirement for the βII spectrin-dependent paranodal cytoskeleton.

Results: In the first section that describes the deletion of NF186 and the sufficiency of NF155-dependent paranodal junctions to cluster Na+ channels in the PNS we conclude: “Hence, while these observations confirm that paranodal junctions are sufficient for the initial Na+ channel clustering at PNS nodes, they also support previous observations that NF186 plays important roles in maintaining the nodal protein complex which is necessary for proper action potential conduction (Amor et al., 2014; Desmazieres et al., 2014).” Throughout the remainder of the results we indicated where the results either confirm previous work or extend our understanding of the mechanisms.

Discussion: We revised the discussion to indicate where we confirm or extend our understanding of node formation. The discussion focuses on three things: 1) the model for how Na+ channels are clustered and what the genetic mouse models reveal from the work reported here, 2) that NF186 is dispensable and we provide a potential explanation for why the work of Thaxton et al. differs from our study, and 3) the majority of the discussion focuses on the paranodal cytoskeleton and its role in Na+ channel clustering which is the major conceptual advance reported here.

2) The paper would benefit from a graphical model depicting the key insights of the paper and a model that summarizes our current understanding of node assembly.

We now include a model (new Figure 5.) that summarizes the major conclusions from the paper in the Discussion section.

3) It isn't clear from the experiments whether the pathway proposed is merely an example of redundancy or whether this interaction is important for some aspect of initial node formation.

We agree that we have not provided any evidence that the paranodal mechanism plays an important role in some aspect of initial node formation. In the PNS the primary mechanism of NaCh clustering is through Gldn/NF186 with the paranodal junctions being the secondary mechanism. In the CNS, the primary mechanism is the paranodal junction, while the ECM/NF186 interaction is the secondary mechanism. These conclusions were reported by us previously in Susuki et al., Neuron 2013.

It seems that βII spectrin deletion alone does not alter nodal clustering, suggesting that under normal conditions, NF186 is sufficient. It would be helpful if the authors were to discuss this issue and provide some quantification of NaCh density in the βII knockout (see below).

The reviewer is correct that there is no difference in Na+ channel clustering in the βII spectrin cKO mice. We performed new measurements of nodal densities and found that 94.1% and 94.6% of nodes in control and Avil-Cre;Spnb2fl/flmice, respectively, had Na+ channels (p=0.28 by Student’s t-test n=3 independent animals for each genotype and a total of 796 and 464 nodes were examined in control and cKO mice, respectively). When we examined the Na+ channel density at individual nodes in the Avil-Cre;Spnb2fl/flmice we found fluorescence intensities of 1.035 and 0.935 in control and Avil-Cre;Spnb2fl/flmice, respectively (p=0.44 by Student’s t-test, n= 4 mice of each genotype with a total of 100 and 92 nodes measured in control and cKO mice, respectively). We have added these details in the Results section.

4) Some of the PNS experiments deleting NF186 appear to repeat work that is already published. Thus, Feinberg et al., 2010, cocultured DRG neurons from NF-/- mice with wt Schwann cells and found Na+ channels clustered at nodes, but not heminodes. This is also reported here in Figure 1E, although with a different mutant. Was a different result expected? The Salzer lab used RNAi to knock down NF186 in similar cultures, and found no Na+ channel clustering at regions that they interpreted as nodes, but had wide gaps (JCB 177:857, 2007).

The reviewer is correct that the conclusion from the experiment reported in Figure 1E is similar to that reported in Feinberg et al. (2010) and that reported by Dzhashiashvili et al. (2007). A different result was not expected. The purpose of the figure was to show that using the new conditional NF186 knockout mice we can confirm previous studies using mixed cultures. Again these data are in support of a model where NF186 is dispensable for nodal clustering, but required for heminodal clustering of channels. Given previous reports to the contrary (Thaxton et al., 2011) we consider these experiments to be important for the main messages.

Concerns about immunocytochemical quantification:

1) Results section. NaCh immunofluorescence intensity was measured in the conditional deletion and compared with a control. This is a very difficult measurement, requiring careful controls. All we are told is that they used the Volocity software. For example, comparing the dorsal root images in Figure 1B, the nodal label looks weaker in the deletion, but so does the Caspr label. How were the measurements normalized to be able to compare different sections? Were the sections mounted on the same slide so that they would be treated identically?

For the measurement of fluorescence intensity, sections were carefully handled side-by-side with the same stainings, exposure times, etc. Nodal intensities were obtained by dividing the fluorescence intensity by the area of the node (for the data shown in Figure 1F). Nevertheless, to be absolutely certain of our results we performed two independent measurements of NaCh density in the Avil-Cre;Nfascfl/flmice – one in the Peles lab and one in the Rasband lab. The measurements shown in Figure 1F are from the Peles lab. The Rasband lab measured nodal Na+ channel intensity at P10, but normalized the intensity to that for the flanking paranodal Caspr. We obtained a ratio of 0.94 in Nfascfl/flmice mice and 0.74 in Avil-Cre;Nfascfl/flmice (p=0.02, Student’s t-tets, n= 4 mice of each genotype). Thus, using a different method of measuring nodal Na+ channel intensity both groups obtained consistent results. We chose to present the data from the Peles lab in the manuscript because we had two time points.

2) In the Abstract and the Discussion the authors do not address the fact that NaCh clustering, while present in the absence of NF186, is markedly decreased and the mice have a profound deficit in action potential conduction. Thus, the results provide a more nuanced picture than is presented. It would be helpful if this issue were addressed. As the density of NaCh is affected, the authors should provide a consistent assessment of NaCh content in the different mouse lines (Although immunolabeling is not truly quantitative, it would provide a means to compare relative abundance, provided processing and image acquisition are standardized). For example, in Figure 1F, NaCh immunostaining intensity is quantified, providing an explanation for the reduction in AP conduction velocity, but similar data are not provided for the other mouse lines and no density measures are provided for CNS axons.

To be as clear as possible about the major conclusions of our study we focused our Abstract on the three major results: 1) NF186 is dispensable for Na+ channel clustering, 2) paranodes are sufficient to cluster Na+ channels, and 3) the molecular basis for the paranodal mechanism is βII spectrin. We do not believe the Abstract is an appropriate place for a detailed description of results. However, we have not suppressed or hidden the observation of reduced Na+ channel density. We agree the reduction in Na+ channel density is significant and we report this in Figure 1. We now provide fluorescence intensity measurements for the βII spectrin conditional knockout mouse line in the revised manuscript, but we do not have fluorescence intensity measurements for the Thy-1Cre;Nfasc(4)fl/fl mice. We also performed fluorescence intensity measurements of Na+ channel intensity in the Six3Cre;Nfascfl/flCNS.

Surprisingly, in contrast to the PNS where there was a very obvious reduction in NaCh density at individual nodes (Figure 1), we measured no equivalent change in the Six3Cre;Nfascfl/flCNS optic nerve (n= 3 animals of each genotype). These data are included here for the reviewers Author response image 1. We speculate that this discrepancy between the CNS and PNS reflects differences in primary and secondary clustering mechanisms in the PNS vs. the CNS. Specifically, in the PNS the primary mechanism of NaCh clustering is through Gldn/NF186 with the paranodal junctions being the secondary mechanism. In the CNS, the primary mechanism is the paranodal junction, while the ECM/NF186 interaction is the secondary mechanism (Susuki et al., Neuron 2013). (These conclusions are also consistent with the observation that in mice lacking paranodal junctions the nodal clusters in the CNS become proportionally much, much longer than those in the PNS (Rios et al., J Neurosci 2003)). We chose not to include these data since they do not change the conclusions and would require a complicated discussion of the differences in the hierarchy of clustering mechanisms between the PNS and CNS that may detract from the main message. Should the reviewers feel these data are critical to the overall message of the paper we will be happy to include them as they provide strong support for the sufficiency of the paranodal mechanism – especially in the CNS. Finally, in recognition of the reviewer’s point that our results are more nuanced (i.e. that clustering is not completely normal since nodes have reduced densities of Na+ channels), we revised the Discussion and overall conclusion to state, “Accordingly, the loss of NF186 can be partially compensated for by the paranodal junction-based cytoskeletal barrier since Na+ channels may still be clustered, but they cannot be maintained in the absence of NF186 (Figure 5B).”

Author response image 1. Nodal NaCh intensity in the Six3Cre;Nfascfl/flCNS optic nerve.

Author response image 1.

DOI: http://dx.doi.org/10.7554/eLife.21392.011

3) The authors conclude that paranodal interactions are "sufficient for the initial NaCh clustering at PNS nodes." However, they do not provide evidence that the density of NaChs achieved at nodes in NF186 deficient axons is similar to that which occurs in wild type. This statement should be revised or additional data provided to support this conclusion.

The results presented in this paper, using 3 different conditional knockout mouse models, show that paranodal junctions are sufficient for the initial clustering of Na+ channels (Figures 1, 2, and Figure 1—figure supplement 2). We don’t claim that the density of channels is identical to that of control animals. We specifically only stated that paranodes are sufficient to induce Na+ channel clustering at PNS nodes. In fact, we provided data in Author response image 1, suggesting that in contrast to the PNS, CNS nodes may have normal densities of Na+ channels even at P17, which is the time of peak node formation in the optic nerve (see Rasband et al., J Neurosci 1999). For the reasons already stated (see above), we chose not to include these results. We conclude that indeed paranodes are sufficient for the initial Na+ channel clustering at PNS nodes. Please note the model shown in Figure 5 shows reduced Na+ channel densities in NF186-deficient mice, emphasizing that the paranodal clustering mechanisms may not be sufficient to maintain the normal density of channels.

4) As pointed out by the authors, some nodes in Six3-Cre;Nfascfl/fl mice at P60 lacked NaCh clusters but had paranodal NF immunoreactivity. The authors need to assess whether these axons had intact βII spectrin. If so, it would contradict the primary conclusion of the study and should be discussed. Is it possible that different neurons may exhibit a different dependence on NF186/NF155 interactions for NaCh clustering and/or maintenance?

The reviewer suggests that if we were able to identify a P60 node that lacked Na+ channels but still had intact βII spectrin it would argue against a model where the paranodal cytoskeleton is sufficient for channel clustering. In fact, we expect that all P60 nodes in the Six3-Cre;Nfascfl/flmice have intact paranodal βII spectrin. Since earlier timepoints always show clustered Na+ Channels (Figure 2D), we conclude that loss of NF186 results in failure to maintain the clusters of Na+ channels, not to assemble them. If we detected paranodal βII spectrin at P60 flanking nodes lacking Na+ channels in these mice it would not argue against our model. Unfortunately direct demonstration of βII spectrin at CNS paranodes in the Six3-Cre;Nfascfl/flmiceis technically exceedingly difficult (nigh impossible for the number of instances that would be needed to be observed for statistical confidence) for two reasons: 1) the frequency of a node lacking Na+ channels is very rare (only ~15% of nodes at P60), and 2) βII spectrin is highly expressed in both axons and myelinating oligodendrocytes making it very difficult to observe paranodal βII spectrin in the CNS. In addition, the density of myelinated axons in the optic nerve makes the detection of paranodal βII spectrin very difficult. It is only in regions where optic nerve axons have ‘frayed’ and individual axons can be seen where it is possible to see the paranodal βII spectrin. It is much easier to see the paranodal βII spectrin in PNS axons because they can be much more easily separated.

5) In Figure 1—figure supplement 2 and Figure 2—figure supplement 1, it would be helpful if the authors provided quantification of the number of positive nodes with βII spectrin, βIV spectrin, AnkG, etc. (Figure 1—figure supplement 2B) to demonstrate the robustness of these observations.

We are unsure of the reviewers’ intent with this question. Is the suggestion that Na+ channels may be clustered in the absence of βIV spectrin or AnkG? We previously showed that the ankG-binding motif of Na+ channels is both necessary and sufficient for the proper clustering of nodal Na+ channels (Gasser et al., J Neurosci 2012) and we showed that Na+ channels are never clustered without a nodal ankyrin (Ho et al., Nat Neurosci 2014). Based on these prior observations we did not quantify βIV spectrin or ankG staining in the mice we analyzed – instead our focus was on Na+ channels since clustering of Na+ channels requires intact ankyrin and β spectrin clustering. Nevertheless, our qualitative analysis indicated that the staining for ankG and βIV spectrin in Avil-Cre;Nfascfl/fl;Spnb2fl/fl mice is similar to that for Na+ channels. Since the animals analyzed in Figure 1—figure supplement 2 (Thy-1Cre;Nfasc(4)fl/fl mice) have intact βII spectrin gene expression and intact paranodal junctions (as indicated by Caspr staining) we did not analyze βII spectrin staining in these mice. There is no reason to expect that βII spectrin staining should be altered.

Figure 4A-D and subsection “The spectrin-based paranodal cytoskeleton underlies the paranodal clustering mechanism”. The thinner myelin seen in NF186/βII spectrin null mice is interesting. The authors do not speculate on a possible mechanism for this. Further, while they state that paranodal junctions are intact, no transverse bands are visible in Figure 4B, while the control (Figure 4A) has hints of them. The presence of Caspr may not guarantee "intact paranodal junctions". The authors may wish to refer to Mierzwa et al., J. Comp. Neurol. 518:2841, 2010.

We agree that the thinner myelin observed in the Avil-Cre;Nfascfl/fl;Spnb2fl/fl is quite interesting and also consistent with a delay in myelination observed in the full NFasc knockout mouse (Zonta et al., JCB 2008). However, we chose not to discuss the hypomyelination because the focus of the paper is on Na+ channel clustering at nodes and the function of the paranodal cytoskeleton in that process. Although interesting, we believe it is tangential to the main message of the paper and we have no data to support any particular mechanism. If the editor would like us to discuss the issue we are happy to do it, but it will be speculation. The more important question is about the EM and the lack of transverse bands. We agree that transverse bands are not visible in the example of the paranode shown. Unfortunately, because of the recombination that occasionally occurs in oligodendrocytes (see Figure 2—figure supplement 1), we cannot be certain that a given paranode has NF155. Although most investigators believe the molecular basis of the transverse band is the Caspr/contactin/NF155 protein complex, this has never been proven by immunoelectron microscopy. Nevertheless, since there are no known examples where transverse bands are present but Caspr and NF155 are not also clustered, we used Caspr and paranodal NF immunostaining to indicate intact paranodal junctions in the nodes we analyzed. Thus, although we are limited in our analysis of paranodes by EM, the immunostaining strongly supports the conclusion that junctions are intact.

Concerns about the electrophysiological analysis

1) The electrophysiology raises a number of questions. Firstly, the methods simply refer to previous papers. There should be a few sentences describing: the basic technique (wires?, suction electrodes?); stimulus parameters; the bath solution recipe and if it was oxygenated; and the temperature.

We have added these details to the Materials and methods section.

Secondly, it would be helpful to have a conduction velocity for all peaks. Is the second peak in Figure 1—figure supplement 1F attributable to unmyelinated axons?

The second peak in Figure 1—figure supplement 1F is unlikely to reflect an increase in unmyelinated axons since their conduction velocities and amplitudes are more than an order of magnitude lower than signals recorded from myelinated sensory axons, and we see no reduction in myelination in the Avil-Cre;Nfascfl/fl or Six3-Cre;Nfascfl/flmice. Instead the delay in the first peak and increase in the second peak corresponds to slowing of axons due to reduced Na+ channel densities. Respectfully, we do not believe reporting a conduction velocity for all peaks is particularly informative since the entire trace shown represents the summation of action potentials from many hundreds if not thousands of axons in the sensory roots. The velocity for the second peak is easy to provide, it is just that we do not think it will provide any additional information beyond what is already given in Figure 1—figure supplement 1F and G. Perhaps we have overlooked the reason why the reviewer suggested this. If the reviewer feels strongly about this we would be happy to consider their reasons.

Why is there such a large range of velocities in the control in Figure 1—figure supplement 1G? Some of these may be so slow as to be from unmyelinated fibers. The Avil-Cre NF(f/f) in Figure 1—figure supplement 1F does not just show a decreased velocity of the fast peak. There is a very pronounced second peak. What is its velocity? Does it represent small myelinated axons or unmyelinated axons? Has there been a shift in the relative numbers of these fibers from the NF(f/f) control?

The reason for the large range of velocities in the control in Figure 1—figure supplement 1G is that we pooled all CAP data recorded from dorsal roots. These roots have different proportions of sensory neuron subtypes with different diameters which results in a wide distribution of conduction velocities even in the control roots. Please see the answer above with regard to the unmyelinated axons and the second peak.

2) Could the decreased conduction velocity in the CNS in the Six3-Cre NF(f/f) optic nerves be due to the loss of ECM proteins that was seen? The authors have shown previously that loss of Tenascin-R lowers velocity.

The reviewer is correct that we (and others) have previously reported changes in CNS nerve conduction velocity in mice lacking nodal ECM proteins such as Tenascin and Bral1 (loss of Bral1 also disrupts Brevican and Versican retention at CNS nodes). Thus, it is quite possible that the loss of these ECM proteins also contributes to reduced conduction velocities. We thank the reviewer for this suggestion and have added the following sentence to the Results section: “The reduced conduction velocity does not reflect impaired myelination (Figure 2—figure supplement 1F and 1G), but instead likely reflects the combined effects of decreased nodal Na+ channel density, loss of nodal extracellular matrix molecules (Weber et al., 1999; Bekku et al., 2010), and loss of some paranodal junctions due to NF155-deficient oligodendrocytes (Figure 2—figure supplement 1B).”


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