Melissa Plooster1, Shalini Menon2, Cortney C Winkle3, Fabio L Urbina1, Caroline Monkiewicz2, Kristen D Phend2, Richard J Weinberg2, Stephanie L Gupton4,5,6. 1. Cell Biology and Physiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599. 2. Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599. 3. Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599. 4. Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 sgupton@email.unc.edu. 5. Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599. 6. Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Abstract
Extracellular netrin-1 and its receptor deleted in colorectal cancer (DCC) promote axon branching in developing cortical neurons. Netrin-dependent morphogenesis is preceded by multimerization of DCC, activation of FAK and Src family kinases, and increases in exocytic vesicle fusion, yet how these occurrences are linked is unknown. Here we demonstrate that tripartite motif protein 9 (TRIM9)-dependent ubiquitination of DCC blocks the interaction with and phosphorylation of FAK. Upon netrin-1 stimulation TRIM9 promotes DCC multimerization, but TRIM9-dependent ubiquitination of DCC is reduced, which promotes an interaction with FAK and subsequent FAK activation. We found that inhibition of FAK activity blocks elevated frequencies of exocytosis in vitro and elevated axon branching in vitro and in vivo. Although FAK inhibition decreased soluble N-ethylmaleimide attachment protein receptor (SNARE)-mediated exocytosis, assembled SNARE complexes and vesicles adjacent to the plasma membrane increased, suggesting a novel role for FAK in the progression from assembled SNARE complexes to vesicle fusion in developing murine neurons.
Extracellular netrin-1 and its receptor deleted in colorectal cancer (DCC) promote axon branching in developing cortical neurons. Netrin-dependent morphogenesis is preceded by multimerization of DCC, activation of FAK and Src family kinases, and increases in exocytic vesicle fusion, yet how these occurrences are linked is unknown. Here we demonstrate that tripartite motif protein 9 (TRIM9)-dependent ubiquitination of DCC blocks the interaction with and phosphorylation of FAK. Upon netrin-1 stimulation TRIM9 promotes DCC multimerization, but TRIM9-dependent ubiquitination of DCC is reduced, which promotes an interaction with FAK and subsequent FAK activation. We found that inhibition of FAK activity blocks elevated frequencies of exocytosis in vitro and elevated axon branching in vitro and in vivo. Although FAK inhibition decreased soluble N-ethylmaleimide attachment protein receptor (SNARE)-mediated exocytosis, assembled SNARE complexes and vesicles adjacent to the plasma membrane increased, suggesting a novel role for FAK in the progression from assembled SNARE complexes to vesicle fusion in developing murine neurons.
During development, extracellular axon guidance cues direct the extension and branching of axons, essential for appropriate anatomy and function in the adult brain. Disruption of axon extension and branching may lead to the defective connectivity implicated in neurodevelopmental and neuropsychiatric disorders (Engle, 2010; Grant ). In the mammalian neocortex, the secreted axon guidance cue netrin-1 promotes attractive guidance and axon branching through the receptor deleted in colorectal cancer (DCC) (Kennedy and Tessier-Lavigne, 1995; Keino-Masu ). Gene trap–mediated disruption or deletion of either Dcc or the gene encoding netrin-1 (Ntn1) in mice leads to defects in fiber tracts in the forebrain, including the corpus callosum and hippocampal commissure, and perinatal or embryonic lethality (Serafini ; Fazeli ; Bin ; Yung ). Netrin-dependent neuronal morphogenesis is preceded by several subcellular events. In the presence of netrin-1, DCC is recruited to clusters within the plasma membrane, where it homomultimerizes (Mille ; Matsumoto and Nagashima, 2010; Wang ; Gopal ). The noncatalytic cytoplasmic tail of DCC interacts with nonreceptor tyrosine kinases, leading to their activation. These targets include FAK and Src family kinases (SFKs), which are involved in cell adhesion, migration survival, neuritogenesis, and axon outgrowth (Li ; Liu ; Meriane ; Ren ). The molecular regulators that control and coordinate DCC relocalization and downstream kinase activation are not fully elucidated.We identified vertebrate TRIM9, an evolutionarily conserved class I tripartite motif (TRIM) protein (Berti ; Tanji ), as a key regulator of netrin-dependent morphogenesis in cortical and hippocampal neurons (Winkle ; Winkle, Olsen, ; Menon, Boyer, ). The single invertebrate orthologues of Ntn1 and of Dcc regulate axon development through the single class I TRIM orthologue (Hao ; Morikawa ). MammalianTRIM9 directly interacts with the cytoplasmic tail of DCC, the neuronal exocytic target (t)-SNARESNAP25, and the filopodial actin polymerase VASP (Li ; Winkle ; Menon, Boyer, ). Genetic deletion of murineTrim9 in cortical neurons is associated with a loss of netrin-1 responsiveness, elevated exocytosis, enhanced growth cone filopodial stability in vitro, and defects in axon branching and axon projections in vitro and in vivo (Winkle ; Winkle, Olsen, ; Menon, Boyer, ). However, whether TRIM9 plays a role in DCC localization or FAK-dependent intracellular signal transduction downstream of DCC/netrin-1 remains unknown.Here we find that DCC is ubiquitinated in a TRIM9-dependent manner. Our data are consistent with the hypothesis that DCC ubiquitination blocks the activation of FAK and SFK in the absence of netrin-1. Following netrin-1 stimulation, DCC ubiquitination is reduced, and TRIM9-dependent clustering and multimerization of DCC occurs. FAK also becomes phosphorylated and activated, and SNARE-mediated exocytosis and axon branching increase. Inhibition of FAK activity blocks netrin-dependent exocytosis and axon branching but, surprisingly, increases the number of assembled SNARE complexes and the density of vesicles found immediately adjacent to the plasma membrane. This suggests a novel requirement for FAK activity in the progression from an assembled SNARE complex to SNARE-mediated fusion, which is necessary for plasma membrane expansion during axon branching.
RESULTS
Deletion of Trim9 disrupts netrin-dependent clustering and multimerization of DCC
Application of netrin-1 induces clustering of its receptor DCC at the plasma membrane (Matsumoto and Nagashima, 2010; Gopal ). Because we had observed colocalization of TRIM9 and DCC in punctae along the periphery of neurites (Winkle ), we hypothesized that TRIM9 may play a role in netrin-dependent DCC clustering. Using total internal reflection fluorescence (TIRF) microscopy, we observed rapid mCherry-DCC cluster formation at the cell edge of Trim9 neurons immediately following netrin-1 stimulation, which was absent in Trim9 neurons (Figure 1A and Supplemental Movie 1). To quantify the relocalization of DCC, we compared the change in mCherry-DCC fluorescence at the cell edge (Figure 1B, outer 0.64 μm, blue) and the cell center (green), normalized to the whole cell (Figure 1B, red). To reveal trends in fluorescence intensity changes, we fit these data to a local polynomial regression (Figure 1C). In Trim9 neurons, DCC fluorescence increased at the cell edge and decreased in the cell center after netrin-1 stimulation, suggesting a rapid rearrangement of DCC. Clustered mCherry-DCC should exhibit higher fluorescence intensity than nonclustered DCC. To quantify changes in the localization of clustered DCC, we considered the localization of the brightest 10% of mCherry-DCC–containing pixels (Figure 1D). This revealed that the brightest DCC-containing pixels (likely DCC clusters) increasingly localized to the cell edge following netrin-1 stimulation in Trim9 neurons. Netrin-dependent clustering of DCC was also observed on the apical plasma membrane by spinning-disk confocal microscopy (Supplemental Figure S1), indicating that DCC relocalization was not limited to the basal cell surface.
FIGURE 1:
Loss of Trim9 impairs netrin-dependent clustering and multimerization of DCC. (A) Inverted TIRF images of Trim9 and Trim9 cortical neurons expressing fluorescently tagged DCC before and after netrin-1 application. Schematics of TRIM9 domain structure and functions (left), and of analysis regions of interest within cell mask, including whole cell (red), cell edge (blue, 0.64 μm) and cell center (green). (B) Graphs of average mean fluorescence of DCC in the denoted ROIs in individual cells over time. Values are normalized to the average intensity of the whole cell. (C) Local polynomial regression of data shown in B demonstrates trends in temporal changes in average DCC fluorescence intensity in each ROI. (D) The percent of the pixels containing the highest 10% of DCC fluorescence intensity in the TIRF illumination field that localize at the cell perimeter. The p values (assessed via two-way ANOVA with Tukey post hoc correction) show differences between each pre– and post–netrin-1 condition. #, p < 0.0005 difference from pre–netrin-1 Trim9. (E) Immunoblot of inputs and immunoprecipitates (IPs) of HA-DCC. Coimmunoprecipitation of GFP-DCC increases following netrin-1 stimulation in TRIM9 cells. The p values were assessed by Kruskal-Wallis ANOVA with LSD post hoc correction. (F) Immunoblot of Myc-TRIM9 and HA-DCC in inputs and IPs of Myc and Myc-TRIM9 in TRIM9 HEK 293 cells. The p values were assessed by Mann-Whitney test.
Loss of Trim9 impairs netrin-dependent clustering and multimerization of DCC. (A) Inverted TIRF images of Trim9 and Trim9 cortical neurons expressing fluorescently tagged DCC before and after netrin-1 application. Schematics of TRIM9 domain structure and functions (left), and of analysis regions of interest within cell mask, including whole cell (red), cell edge (blue, 0.64 μm) and cell center (green). (B) Graphs of average mean fluorescence of DCC in the denoted ROIs in individual cells over time. Values are normalized to the average intensity of the whole cell. (C) Local polynomial regression of data shown in B demonstrates trends in temporal changes in average DCC fluorescence intensity in each ROI. (D) The percent of the pixels containing the highest 10% of DCC fluorescence intensity in the TIRF illumination field that localize at the cell perimeter. The p values (assessed via two-way ANOVA with Tukey post hoc correction) show differences between each pre– and post–netrin-1 condition. #, p < 0.0005 difference from pre–netrin-1Trim9. (E) Immunoblot of inputs and immunoprecipitates (IPs) of HA-DCC. Coimmunoprecipitation of GFP-DCC increases following netrin-1 stimulation in TRIM9 cells. The p values were assessed by Kruskal-Wallis ANOVA with LSD post hoc correction. (F) Immunoblot of Myc-TRIM9 and HA-DCC in inputs and IPs of Myc and Myc-TRIM9 in TRIM9HEK 293 cells. The p values were assessed by Mann-Whitney test.This netrin-dependent redistribution and clustering of mCherry-DCC was absent in Trim9 neurons (Figure 1, A–D, and Supplemental Movie 1) and rescued by reintroduction of enhanced green fluorescent protein (eGFP)-TRIM9 (Figure 1, A–D, and Supplemental Movie 2, arrowheads), indicating that DCC clustering was dependent upon TRIM9. Expression of a TRIM9 mutant lacking the ubiquitin ligase RING domain (TRIM9ΔRING) induced clustering of DCC independent of netrin-1 (Figure 1, A–D, and Supplemental Movie 2). This gain of function suggests that the ligase domain of TRIM9 inhibits clustering of DCC in the absence of netrin-1. Expression of a TRIM9 variant lacking the DCC-binding SPRY domain (TRIM9ΔSPRY) or a mutant lacking the TRIM multimerization coiled-coil motif (TRIM9ΔCC) failed to rescue netrin-dependent clustering of DCC (Figure 1, A–D, and Supplemental Movie 2), suggesting that the interaction between TRIM9 and DCC and the multimerization of TRIM9 are both critical for TRIM9-dependent DCC clustering. These results reveal a netrin-stimulated, TRIM9-dependent spatial reorganization of DCC at the plasma membrane.In addition to clustering in the plasma membrane, DCC homomultimerizes upon application of netrin-1, as revealed by the coimmunoprecipitation of differentially tagged DCC proteins (Mille ; Bin ). Because spatial clustering may involve multimerization (Figure 1, A–D), we hypothesized that TRIM9 may also be involved in DCC multimerization. Using previously reported TRIM9 and TRIM9HEK293 cells (Menon, Boyer, ), we found that immunoprecipitation of HA-tagged DCC with antibodies against the HA epitope coprecipitated pHluorin-DCC (Figure 1E). Coimmunoprecipitation of pHluorin-DCC was enhanced by netrin-1 stimulation in TRIM9HEK293 cells and was reduced and netrin-insensitive in TRIM9HEK293 cells. Thus multimerization of DCC was promoted by TRIM9. We did not observe netrin-dependent changes in the amount of DCC coimmunoprecipitated by TRIM9 (Figure 1F), indicating that netrin-dependent changes in DCC multimerization cannot be explained by an increased interaction between TRIM9 and DCC.
Loss of Trim9 leads to hyperactivation of FAK
We hypothesized that the defects in netrin-dependent clustering and multimerization of DCC may be associated with defects in the netrin-triggered activation of FAK and SFK. Previous studies have shown that the nonreceptor tyrosine kinase FAK directly interacts with the COOH-terminal LD motif on the P3 domain of DCC (Figure 2A) and that FAK is autophosphorylated at Y397 (pY397) upon netrin stimulation, leading to FAK activation (Li ; Liu ; Ren ). We similarly observed rapid netrin-dependent increases in FAK pY397 in Trim9 neurons that returned to baseline and, surprisingly, found enhanced basal FAK pY397 in Trim9 neurons (Figure 2B). Although netrin-dependent clustering of DCC is associated with activation of FAK, these data suggest clustering is not necessary for FAK activation and, further, that TRIM9 constrains FAK activation in the absence of netrin.
FIGURE 2:
Loss of Trim9 leads to hyperactivation of FAK. (A) Schematic representation of the cytoplasmic tail of DCC showing key mutation and interaction sites. (B) Immunoblots of endogenous total FAK, FAKpY397, and GAPDH from cortical lysate. Quantification of percent change in each phosphorylation event, normalized to total FAK relative to Trim9 neurons. The p values noted are for Kruskal-Wallis ANOVA with LSD post hoc correction to Trim9 control, unless otherwise noted. (C) Immunoblots of endogenous total FAK, FAKpY861, and GAPDH from cortical lysate. Quantification of percent change in each phosphorylation event normalized to total FAK relative to Trim9 neurons. The p values noted are for Kruskal-Wallis ANOVA with LSD post hoc correction to Trim9 control, unless otherwise noted. (D) Immunoblots of endogenous DCC pY1418, DCC, and βIII tubulin in Trim9+/+ and Trim9 cortical neurons. Quantification of levels of pY1418/DCC relative to Trim9 neurons. The p values noted are for Kruskal-Wallis ANOVA with LSD post hoc correction, compared with Trim9 control, unless otherwise noted.
Loss of Trim9 leads to hyperactivation of FAK. (A) Schematic representation of the cytoplasmic tail of DCC showing key mutation and interaction sites. (B) Immunoblots of endogenous total FAK, FAKpY397, and GAPDH from cortical lysate. Quantification of percent change in each phosphorylation event, normalized to total FAK relative to Trim9 neurons. The p values noted are for Kruskal-Wallis ANOVA with LSD post hoc correction to Trim9 control, unless otherwise noted. (C) Immunoblots of endogenous total FAK, FAKpY861, and GAPDH from cortical lysate. Quantification of percent change in each phosphorylation event normalized to total FAK relative to Trim9 neurons. The p values noted are for Kruskal-Wallis ANOVA with LSD post hoc correction to Trim9 control, unless otherwise noted. (D) Immunoblots of endogenous DCC pY1418, DCC, and βIII tubulin in Trim9+/+ and Trim9 cortical neurons. Quantification of levels of pY1418/DCC relative to Trim9 neurons. The p values noted are for Kruskal-Wallis ANOVA with LSD post hoc correction, compared with Trim9 control, unless otherwise noted.SFKs dock at pY397 on FAK and interact with the PXXP motif beginning at P1400 on the cytoplasmic tail of DCC (Li ; Ren ; Figure 2A). This interaction leads to a number of SFK-dependent phosphorylation events, including FAK pY861 and DCC pY1418. In Trim9 neurons, these SFK-dependent phosphorylation events increased in response to netrin-1 stimulation (Figure 2, C and D), recapitulating previous results (Li ; Liu ; Meriane ). However, these phosphorylation events were aberrantly elevated in Trim9 cortical neurons, suggesting that FAK hyperactivation promotes downstream phosphorylation events. TRIM9 interacts with two sites on the cytoplasmic tail of DCC (Winkle ). These sites do not overlap with the established FAK binding site (Figure 2A), and we did not observe reduced interaction between TRIM9 and DCC upon netrin addition (Figure 1F), suggesting that a different TRIM9-dependent mechanism controls activation of FAK.
TRIM9-dependent ubiquitination of DCC does not alter protein stability
Because TRIM9 is a brain-enriched E3 ubiquitin ligase, and ubiquitination of DCC in embryonic cortical neurons and heterologous cells has been reported (Hu ; Kim ), we examined whether DCC ubiquitination was dependent on TRIM9. In TRIM9HEK293 cells, immunoprecipitation of HA-DCC under denaturing conditions revealed an HA+ band at the expected molecular weight (∼190 kDa; Figure 3A, red arrowhead) and a heavier HA+ band that migrated with coimmunoprecipitated FLAG-ubiquitin (Figure 3A, blue arrowhead). These higher molecular weight species are indicative of DCC ubiquitination. Either netrin-1 addition in the presence of TRIM9 or genetic loss of TRIM9 reduced FLAG-ubiquitin coimmunoprecipitated by HA-DCC (Figure 3A), suggesting that this modification is netrin-sensitive and TRIM9-dependent. To confirm the relevance of these results in neurons, we immunoprecipitated endogenous DCC from primary cultured Trim9+/+ or Trim9embryonic cortical neurons under denaturing conditions and immunoblotted for DCC and ubiquitin (Figure 3B). This revealed that cortical neurons also exhibited TRIM9-dependent, netrin-sensitive DCC ubiquitination. SDS–PAGE and immunoblotting of cortical neuron lysate resolved a DCC immunoreactive band at the expected molecular weight of 190 kDa (Figure 3C). However, neither netrin addition, genetic loss of Trim9, nor treatment with the proteosome inhibitor bortezomib altered the level of this band, suggesting that TRIM9-dependent ubiquitination of DCC does not alter DCC stability.
FIGURE 3:
Netrin-sensitive, TRIM9-dependent ubiquitination of DCC. (A) SDS–PAGE and Western blots of inputs and HA-DCC IPs from TRIM9 and TRIM9 HEK293 cells blotted for FLAG-ubiquitin and HA-DCC. High-molecular-weight ubiquitin in the IP is considered DCC ubiquitination (blue arrowhead). Red arrowhead demarcates DCC at expected molecular weight ∼190 kDa. The p values are from Kruskal-Wallis ANOVA with LSD post hoc correction. (B) SDS–PAGE and Western blots of inputs and DCC IPs from Trim9 and Trim9 cortical neurons blotted for endogenous ubiquitin and DCC. Blue arrowhead demarcates ubiquitinated DCC, red arrowhead demarcates DCC at expected molecular weight ∼190 kDa. The p values are from Kruskal-Wallis ANOVA with LSD post hoc correction compared with Trim9 control. (C) Immunoblot of cortical lysate shows DCC at expected molecular weight (∼190 kDa) is insensitive to inhibition of the proteasome (100 μM bortezomib) or deletion of Trim9.
Netrin-sensitive, TRIM9-dependent ubiquitination of DCC. (A) SDS–PAGE and Western blots of inputs and HA-DCCIPs from TRIM9 and TRIM9HEK293 cells blotted for FLAG-ubiquitin and HA-DCC. High-molecular-weight ubiquitin in the IP is considered DCC ubiquitination (blue arrowhead). Red arrowhead demarcates DCC at expected molecular weight ∼190 kDa. The p values are from Kruskal-Wallis ANOVA with LSD post hoc correction. (B) SDS–PAGE and Western blots of inputs and DCCIPs from Trim9 and Trim9 cortical neurons blotted for endogenous ubiquitin and DCC. Blue arrowhead demarcates ubiquitinated DCC, red arrowhead demarcates DCC at expected molecular weight ∼190 kDa. The p values are from Kruskal-Wallis ANOVA with LSD post hoc correction compared with Trim9 control. (C) Immunoblot of cortical lysate shows DCC at expected molecular weight (∼190 kDa) is insensitive to inhibition of the proteasome (100 μM bortezomib) or deletion of Trim9.
A DCC mutant lacking ubiquitination sites shows increased interaction with FAK and increased phosphotyrosine levels
Bioinformatic analysis of the cytoplasmic tail of DCC identified three residues (K1163, K1167, and K1409) as putative ubiquitination sites, which we mutated to R (DCCKR). One of these K residues (K1409) is situated between the FAK and SFK binding sites, near Y1418 on DCC (Figure 2A). pHluorin-DCCKR exhibited reduced ubiquitination in HEK293 cells compared with pHluorin-DCC (Figure 4A). On the basis of the size of ubiquitin (∼8 kDa) relative to the P3 domain of DCC (∼3.7 kDa) and our observation that FAK is activated upon reduced DCC ubiquitination (Figures 2B and 3, A and B), we hypothesized that ubiquitination of DCC occludes access of FAK to the P3 domain and prevents the downstream activation of FAK and SFK. Consistent with this hypothesis, compared with pHluorin-DCC, pHluorin-DCCKR exhibited increased interaction with Myc-FAK in HEK293 cells in the absence of netrin, as measured by coimmunoprecipitation (Figure 4B), which was not further enhanced with netrin addition. Further, in TRIM9HEK293 cells, DCC pY1418 was enhanced on pHluorin-DCCKR as compared with pHlourin-DCC (Figure 4C). In TRIM9 cells, pY1418 DCC was enhanced compared with TRIM9HEK293 cells and insensitive to netrin-1 or the K-R mutations. These data suggest that TRIM9-dependent ubiquitination of DCC blocks access of FAK to DCC, which inhibits downstream FAK and SFK-dependent phosphorylation events. pHluorin-DCCKR did display rapid netrin-dependent clustering at the periphery of Trim9 neurons (Figure 4D and Supplemental Movie 3), indicating that netrin-dependent clustering is independent of changes in the status of DCC ubiquitination.
FIGURE 4:
Ubiquitination of DCC regulates FAK interactions and activation, but not DCC clustering. (A) SDS–PAGE and Western blots of inputs and GFP-DCC IPs from TRIM9 HEK293 cells blotted for FLAG-ubiquitin and GFP-DCC. High-molecular-weight ubiquitin in the IP is considered DCC ubiquitination. DCC ubiquitination in HEK293 cells is decreased upon addition of netrin-1 or mutation of K1163, K1167, and K1409 (DCCKR). The p values are from Kruskal-Wallis ANOVA with LSD post hoc correction. (B) Western blot of inputs and IPs of GFP-DCC or GFP-DCCKR and Myc-FAK from TRIM9 and TRIM9 HEK293 cells. The p values noted are for Kruskal-Wallis ANOVA with LSD post hoc correction. (C) Immunoblots of DCC pY1418, DCC and GAPDH in HEK293 cells expressing GFP-DCC or GFP-DCCKR. The p values noted are for Kruskal-Wallis ANOVA with LSD post hoc compared with DCC in TRIM9 control. (D) Inverted TIRF images of Trim9 cortical neuron expressing fluorescently-tagged DCCKR before and after netrin-1 application. (D′) The percent of the pixels containing the highest 10% of DCC fluorescence intensity in the TIRF illumination field that localize at the cell perimeter. The p values assessed via t test show differences between each pre– and post–netrin-1 condition. (D″) Graphs of average mean fluorescence of DCC in the denoted ROIs in individual cells over time. (D‴) Local polynomial regression of data demonstrates trends in temporal changes in average DCC fluorescence intensity in each ROI.
Ubiquitination of DCC regulates FAK interactions and activation, but not DCC clustering. (A) SDS–PAGE and Western blots of inputs and GFP-DCCIPs from TRIM9HEK293 cells blotted for FLAG-ubiquitin and GFP-DCC. High-molecular-weight ubiquitin in the IP is considered DCC ubiquitination. DCC ubiquitination in HEK293 cells is decreased upon addition of netrin-1 or mutation of K1163, K1167, and K1409 (DCCKR). The p values are from Kruskal-Wallis ANOVA with LSD post hoc correction. (B) Western blot of inputs and IPs of GFP-DCC or GFP-DCCKR and Myc-FAK from TRIM9 and TRIM9HEK293 cells. The p values noted are for Kruskal-Wallis ANOVA with LSD post hoc correction. (C) Immunoblots of DCC pY1418, DCC and GAPDH in HEK293 cells expressing GFP-DCC or GFP-DCCKR. The p values noted are for Kruskal-Wallis ANOVA with LSD post hoc compared with DCC in TRIM9 control. (D) Inverted TIRF images of Trim9 cortical neuron expressing fluorescently-tagged DCCKR before and after netrin-1 application. (D′) The percent of the pixels containing the highest 10% of DCC fluorescence intensity in the TIRF illumination field that localize at the cell perimeter. The p values assessed via t test show differences between each pre– and post–netrin-1 condition. (D″) Graphs of average mean fluorescence of DCC in the denoted ROIs in individual cells over time. (D‴) Local polynomial regression of data demonstrates trends in temporal changes in average DCC fluorescence intensity in each ROI.
Inhibition of FAK activity blocks axon branching
Netrin-1 promotes axon branching, whereas deletion of Trim9 aberrantly elevates branching in a netrin-independent manner (Dent ; Winkle ). FAK and SFK activity are required for netrin-dependent axon outgrowth and guidance (Liu ; Ren ; Mehlen and Rama, 2007) but have not been implicated in axon branching. To determine whether FAK activity was required for netrin-dependent axon branching and the elevated axon branching observed in Trim9 neurons, we used a pharmacological inhibitor, FAK inhibitor 14 (FAKi), which prevents autophosphorylation of FAK at Y397 (Golubovskaya ) and, thus, FAK activity. FAKi treatment blocked netrin-dependent increases in axon-branching density in Trim9 neurons and reduced the exuberant axon-branching phenotype in Trim9 neurons (Figure 5A) without significant alterations to axon length. Similar results were observed upon expression of FAK-related nonkinase (FRNK; Figure 5B), a noncatalytic variant of FAK that acts as a dominant negative (Richardson and Parsons, 1996). These data suggest that FAK activity is required downstream of DCC and TRIM9 to promote netrin-dependent axon branching and for the increased axon branching that occurs in the absence of Trim9.
FIGURE 5:
FAK activity is required for axon branching. (A) Phalloidin-stained F-actin (green) and βIII tubulin (red) in Trim9 and Trim9 cortical neurons at 72 h in culture. Quantification of density of axon branches/100-μm axon length. The p values are from Kruskal-Wallis ANOVA with Bonferroni post hoc correction. (B) Phalloidin-stained F-actin (green) and βIII tubulin (red) ± GFP-FRNK (blue) in Trim9 and Trim9 cortical neurons 72 h after plating. Quantification of density of axon branches/100-μm axon length. The p values are from Kruskal-Wallis ANOVA with Bonferroni post hoc correction. (C) Inverted maximal projections of Trim9Thy1-GFP, Trim9Thy1-GFP/NexCre/FRNKLoxSTOPLox, Trim9Thy1-GFP, and Trim9Thy1-GFP/NexCre/FRNKLoxSTOPLox corpus callosum sections. Red circles denote branch points. Quantification of average axonal branches per section per mouse (n = 7–15 mice/genotype). The p values are from Kruskal-Wallis ANOVA with Bonferroni post hoc correction. (D) Black Gold staining and quantification of position-matched coronal sections through Trim9, Trim9/Thy1-GFP, and Trim9/Thy1-GFP/NexCre/FRNKLoxSTOPLox mice. Quantification of density of axon branches normalized to brain weight. The p values are from Kruskal-Wallis ANOVA.
FAK activity is required for axon branching. (A) Phalloidin-stained F-actin (green) and βIII tubulin (red) in Trim9 and Trim9 cortical neurons at 72 h in culture. Quantification of density of axon branches/100-μm axon length. The p values are from Kruskal-Wallis ANOVA with Bonferroni post hoc correction. (B) Phalloidin-stained F-actin (green) and βIII tubulin (red) ± GFP-FRNK (blue) in Trim9 and Trim9 cortical neurons 72 h after plating. Quantification of density of axon branches/100-μm axon length. The p values are from Kruskal-Wallis ANOVA with Bonferroni post hoc correction. (C) Inverted maximal projections of Trim9Thy1-GFP, Trim9Thy1-GFP/NexCre/FRNKLoxSTOPLox, Trim9Thy1-GFP, and Trim9Thy1-GFP/NexCre/FRNKLoxSTOPLox corpus callosum sections. Red circles denote branch points. Quantification of average axonal branches per section per mouse (n = 7–15 mice/genotype). The p values are from Kruskal-Wallis ANOVA with Bonferroni post hoc correction. (D) Black Gold staining and quantification of position-matched coronal sections through Trim9, Trim9/Thy1-GFP, and Trim9/Thy1-GFP/NexCre/FRNKLoxSTOPLox mice. Quantification of density of axon branches normalized to brain weight. The p values are from Kruskal-Wallis ANOVA.Using a Thy1-GFP reporter mouse (Feng ), we previously found that Trim9mice exhibit aberrant axon branching within the corpus callosum (Winkle ), which was associated with corpus callosum thickening. To test whether FAK activity was required for exuberant branching in vivo, we crossed Trim9/Thy1-GFP mice with FRNKLoxSTOPLox (DiMichele ) and Nex:CRE mice (Goebbels ). The resultant mice express Cre in postmitotic cortical neurons, which promotes recombination and expression of FRNK specifically in these cells. The z-stacks of position-matched coronal sections through the corpus callosum were imaged by laser-scanning confocal microscopy, and GFP+ axons were inspected for branch points. FRNK expression did not affect axon branching in the corpus callosum of Trim9mice but did reduce the aberrant axon branching in the corpus callosum of Trim9mice (Figure 5C and Supplemental Movie 4), suggesting that FAK activity is necessary for aberrant axon branching in the absence of Trim9 in vivo. Myelin staining of position-matched coronal sections revealed that FRNK expression also reduced the elevated thickness in the rostral portion of the Trim9 corpus callosum (Figure 5D), further supporting the hypothesis that this thickening is at least partially due to aberrant axon branching.
FAK inhibition blocks SNARE-dependent exocytosis but not SNARE-complex assembly
Axon branching increases the neuronal plasma membrane surface area, which necessitates insertion of new plasma membrane material (Winkle, Taylor, Dent, Gallo, Greif, and Gupton, 2016). We previously demonstrated that netrin-dependent axon branching and the exuberant axon branching in Trim9 neurons requires SNARE-mediated exocytosis and is associated with increased SNARE-complex assembly and an increased frequency of exocytosis (Winkle ). Because FAK inhibition blocked axon branching (Figure 5), we hypothesized that FAK activation promotes the requisite SNARE-complex assembly and exocytosis, thus driving plasma membrane expansion during axon branching. We exploited FAKi treatment and the SDS-resistance of SNARE complexes (Söllner ; Hayashi ) to investigate this possibility (Figure 6A). Netrin-1 stimulation of Trim9 neurons or deletion of Trim9 increased the amount of assembled SNARE complexes (Figure 6A) as previously observed. Unexpectedly, FAKi treatment increased basal levels of assembled SNARE complexes in Trim9 neurons and failed to disrupt the elevated SNARE assembly in Trim9 neurons. These data suggested that FAK activity is not required for SNARE-complex formation. To determine whether the elevated SNARE complexes that were present following FAKi treatment were driving increased exocytosis, we tracked the frequency of vesicle-associated membrane protein 2 (VAMP2)-pHluorin vesicle fusion events via TIRF microscopy. Application of netrin-1 increased basal exocytic fusion frequency in Trim9 cortical neurons as expected; however, this netrin-1–dependent response was blocked by FAKi treatment (Figure 6B and Supplemental Movie 5). Similarly, the aberrantly high exocytic vesicle fusion in Trim9 neurons was decreased by FAKi treatment (Figure 6B).
FIGURE 6:
Inhibition of FAK activity blocks SNARE-mediated exocytic vesicle fusion but not SNARE-complex formation. (A) Immunoblots and quantification of SNARE complexes (above 40 kDa) and monomers for VAMP2, syntaxin-1 (STX-1A), and SNAP25 shows that netrin-1 stimulation, genetic loss of Trim9, or FAKi treatment increases the accumulation of SNARE complexes in cortical neurons. The p values are from Kruskal-Wallis ANOVA with LSD post hoc correction compared with Trim9 control, unless otherwise noted. (B) Quantification of VAMP2-pHluorin exocytic vesicle fusion events and example maximum projections of inverted time-lapse TIRF images of Trim9 neurons expressing VAMP2-pHluorin treated with netrin-1 or netrin-1 and FAKi. Red circles indicate sites of vesicle fusion events. Montages represent examples of exocytic fusion events in a soma (top) and neurite (bottom). The p values are from Kruskal-Wallis ANOVA with Bonferroni post hoc correction to Trim9 control, unless otherwise noted. (C) Average projection of TIRF time-lapse images of GFP-VAMP2 vesicles in Trim9 control and FAKi-treated neurons. Quantification of percent of the total cell area containing nonmotile vesicles. The p values are from Kruskal-Wallis ANOVA with Tukey post hoc correction. (D) Representative transmission electron micrographs of Trim9 control and FAKi-treated neurons reveals an increase in vesicle-like structures near the plasma membrane of FAKi-treated cells. Left, density of vesicles within 100 nm of the plasma membrane; p value from Mann-Whitney test. Right, vesicle diameter; p value from t test.
Inhibition of FAK activity blocks SNARE-mediated exocytic vesicle fusion but not SNARE-complex formation. (A) Immunoblots and quantification of SNARE complexes (above 40 kDa) and monomers for VAMP2, syntaxin-1 (STX-1A), and SNAP25 shows that netrin-1 stimulation, genetic loss of Trim9, or FAKi treatment increases the accumulation of SNARE complexes in cortical neurons. The p values are from Kruskal-Wallis ANOVA with LSD post hoc correction compared with Trim9 control, unless otherwise noted. (B) Quantification of VAMP2-pHluorin exocytic vesicle fusion events and example maximum projections of inverted time-lapse TIRF images of Trim9 neurons expressing VAMP2-pHluorin treated with netrin-1 or netrin-1 and FAKi. Red circles indicate sites of vesicle fusion events. Montages represent examples of exocytic fusion events in a soma (top) and neurite (bottom). The p values are from Kruskal-Wallis ANOVA with Bonferroni post hoc correction to Trim9 control, unless otherwise noted. (C) Average projection of TIRF time-lapse images of GFP-VAMP2 vesicles in Trim9 control and FAKi-treated neurons. Quantification of percent of the total cell area containing nonmotile vesicles. The p values are from Kruskal-Wallis ANOVA with Tukey post hoc correction. (D) Representative transmission electron micrographs of Trim9 control and FAKi-treated neurons reveals an increase in vesicle-like structures near the plasma membrane of FAKi-treated cells. Left, density of vesicles within 100 nm of the plasma membrane; p value from Mann-Whitney test. Right, vesicle diameter; p value from t test.These data suggested the intriguing possibility that FAK activity functions in the progression from assembled trans-SNARE complexes to lipid bilayer fusion. We hypothesized that, during FAKi treatment, these nonproductive SNARE complexes might be tethering nonfusing vesicles to the plasma membrane. To test this, we imaged eGFP-VAMP2 within 100 nm of the basal plasma membrane of Trim9 cortical neurons via TIRF microscopy to visualize vesicles at the basal neuronal surface (Figure 6C and Supplemental Movie 6). FAKi treatment was associated with an increased percentage of the basal neuronal membrane area containing nonmotile eGFP-VAMP2 in both the presence and absence of netrin-1 (Figure 6C and Supplemental Movie 6), supporting the hypothesis that FAK activity is required for the progression from assembled SNARE complexes to membrane fusion. To determine whether FAKi treatment increased the number of vesicles adjacent to the plasma membrane or altered vesicle size, we performed transmission electron microscopy of cultured neurons. This confirmed an increased density of vesicles within 100 nm of the plasma membrane in FAKi-treated neurons, with no change in vesicle diameter (Figure 6D). These data suggest FAK activity is required for the progression from trans-SNARE complex to vesicle fusion. Therefore, by modulating the activation of FAK, TRIM9 controls exocytosis and axon branching.
DISCUSSION
Here we demonstrate TRIM9-dependent mechanisms that control the localization and function of the netrin receptor DCC and the downstream signaling events and exocytic machinery that promote netrin-dependent axonal branching. Our data suggest that the TRIM9-dependent ubiquitination of DCC that occurs in the absence of netrin-1 precludes activation of FAK and SFKs (Figure 7), important regulators of netrin-dependent axonal morphogenesis. TRIM9 thus maintains the neuron in an immature morphology, yet poised for the rapid responses to netrin-1 required for axon branching. Upon addition of netrin-1, DCC ubiquitination is reduced, and TRIM9 mediates clustering and multimerization of DCC at the plasma membrane and promotes downstream interaction with and activation of FAK and SFKs, followed by elevated SNARE-mediated exocytosis and axon branching. Our studies suggest that this pathway is relevant in vivo as well. We identified an unexpected role for FAK activity in the progression from assembled SNAREs to exocytic vesicle fusion at the plasma membrane. Together with previous work demonstrating that TRIM9 constrains the function of the exocytic t-SNARESNAP25 and the filopodial actin polymerase VASP in the absence of netrin-1 (Li ; Mille ; Bin ; Winkle ; Menon, Boyer, ), these findings reveal an overarching function for TRIM9 in preparing the neuron for spatiotemporally controlled morphological responses to the axon guidance cue netrin-1. By moderating the local signaling necessary for axon branching, TRIM9 plays an integral role in establishing proper morphogenesis in vitro and in vivo, which is likely critical for behavior, as Trim9mice exhibit severe deficits in spatial learning and memory (Winkle, Olsen, ).
FIGURE 7:
Model of TRIM9-mediated regulation of signaling scaffolds. In the absence of netrin-1, DCC is ubiquitinated in the presence of TRIM9. The addition of ubiquitin inhibits FAK binding and downstream activation of FAK and SFK and constrains vesicle fusion and axon branching. The addition of netrin-1 results in loss of DCC ubiquitination and TRIM9-dependent clustering of DCC. FAK binds to the P3 domain of DCC and is autophosphorylated, leading to interactions with SFK and SFK-dependent phosphorylation events. This creates locally activated signaling complexes that promote vesicle fusion and axon branching. In the absence of TRIM9, the loss of DCC ubiquitination leads to aberrant interaction and activation of FAK and SFK, but a lack of signal complex clustering, leading to aberrant exocytosis and branching. Inhibition of FAK activity blocks subsequent SFK activity and SNARE-mediated exocytosis and branching.
Model of TRIM9-mediated regulation of signaling scaffolds. In the absence of netrin-1, DCC is ubiquitinated in the presence of TRIM9. The addition of ubiquitin inhibits FAK binding and downstream activation of FAK and SFK and constrains vesicle fusion and axon branching. The addition of netrin-1 results in loss of DCC ubiquitination and TRIM9-dependent clustering of DCC. FAK binds to the P3 domain of DCC and is autophosphorylated, leading to interactions with SFK and SFK-dependent phosphorylation events. This creates locally activated signaling complexes that promote vesicle fusion and axon branching. In the absence of TRIM9, the loss of DCC ubiquitination leads to aberrant interaction and activation of FAK and SFK, but a lack of signal complex clustering, leading to aberrant exocytosis and branching. Inhibition of FAK activity blocks subsequent SFK activity and SNARE-mediated exocytosis and branching.
Nondegradative roles for DCC ubiquitination
Classically, ubiquitination targets a substrate for degradation. Previous studies have demonstrated that DCC ubiquitination and proteasomal degradation of DCC are promoted by addition of netrin (Kim ). After the acute netrin-1 treatments used here, ubiquitination of DCC was decreased in cortical neurons, but DCC levels were not. Our findings in both cortical neurons and HEK293 cells support TRIM9-dependent ubiquitination of DCC; however, whether TRIM9 directly ubiquitinates DCC remains unknown. Interestingly, the Siah family of ubiquitin ligases have been implicated in the ubiquitination of both DCC and TRIM9 in heterologous cells (Hu ; Fanelli ). Although loss of TRIM9 reduced DCC ubiquitination in both neurons and human cells, residual ubiquitination remained, suggesting that DCC may be a substrate of multiple ligases. Alternatively, TRIM9 may regulate the function of another ligase, such as Siah. How these ligases cooperate to regulate DCC remains to be determined.In neurons, FAK and SFK are activated downstream of DCC binding to netrin-1, analogous to “outside-in” activation of integrin receptors triggered by binding their extracellular ligands. Integrins alternatively can be activated “inside-out” through cytoplasmic binding partners (Shattil ; Ye and Petrich, 2011). Our data are consistent with a model in which TRIM9-dependent ubiquitination of the cytoplasmic tail of DCC prevents inside-out activation of this signaling pathway by occluding FAK binding to DCC (Figure 7). Inhibition of the interaction between FAK and DCC has previously been shown to prevent FAK- and SFK-dependent phosphorylation of FAK, Fyn, Src, and DCC (Li ; Liu ; Ren ). Downstream of DCC pY1418, activation of guanine nucleotide exchange factors that activate Rac1 results in increased actin polymerization (Antoine-Bertrand ). This actin polymerization may also participate in the formation of nascent axon branches. This nondegradative function of ubiquitination may represent a new mode of rapid protein and pathway regulation in the cell that prevents interactions and phosphorylation events.
Ligase-independent function of TRIM9
Here we discovered a ligase-independent function of TRIM9 in the spatial organization of DCC in response to netrin-1. The dramatic and rapid clustering of DCC at the cell periphery that occurred in response to netrin-1 was completely absent in Trim9 neurons. In the Caenorhabditis elegans anchor cell, the netrin orthologue unc-6 stabilizes oscillating clusters of the DCC orthologue unc-40, and the TRIM9 orthologue madd-2 facilitates ligand-independent clustering (Wang ), similar to TRIM9ΔRING in mammalian cortical neurons, which suggests evolutionarily conserved functions for TRIM9 in DCC clustering. Structure–function experiments in neurons indicate that the DCC binding and multimerization domains of TRIM9 are necessary for this response, suggesting that the TRIM9 interaction with DCC is responsible for this spatial reorganization. However, that interaction alone cannot explain the netrin-dependent clustering as shown by coimmunoprecipitation experiments. Further, the observation that the TRIM9 mutant lacking the ligase domain could induce clustering in the absence of netrin-1 suggests that ligase domain or ligase activity of TRIM9 prevents DCC clustering. This is unlikely to occur through ubiquitination of DCC, as DCCKR did not exhibit aberrant clustering before netrin-1 application. Like most E3 ligases, TRIM9 is capable of autoubiquitination in vitro (Tanji ). We speculate that netrin-dependent autoubiquitination of TRIM9 could permit TRIM9-dependent clustering of DCC, but this remains to be shown. DCC association with lipid rafts is required for netrin-1–dependent axonal outgrowth (Hérincs ). An intriguing hypothesis is that these netrin-dependent DCC clusters represent regulated signaling microdomains possibly within lipid rafts near netrin-1 sources. The formation of these local domains may ensure the spatial and temporal specificity required to form collateral axon branches or may be required for axon turning during development.
TRIM9 employs a “double brake” on exocytosis and axon branching
Our previous work suggested that TRIM9 sequesters the exocytic t-SNARESNAP25, preventing SNARE-complex assembly. Upon addition of netrin-1, TRIM9 releases SNAP25, which permits SNARE-complex formation, vesicle fusion, plasma membrane expansion, and axon branching (Winkle ). This is consistent with our observations that loss of Trim9 increased the amount of SNAP25 assembled into SNARE complexes more than VAMP2 and syntaxin1a, suggesting alternative SNAREs such as VAMP7 and syntaxin 1b assemble with SNAP25. Here we identify a second, FAK-dependent mechanism that occurs after SNARE-complex assembly, yet before vesicle fusion, by which TRIM9 restrains membrane expansion. Our findings that FAK activity is necessary for vesicle fusion but not for SNARE-complex assembly suggest that FAK-dependent phosphorylation of an unknown substrate regulates the transition from assembled SNARE complexes to lipid bilayer fusion. Whether this is by promoting progression from a trans-SNARE to cis-SNARE complex, through promoting fusion pore opening, or by another mechanism is not known. Although no pY residues have been identified in the classical neuronal SNARE components, pY residues have been identified on a number of synaptic vesicle–associated proteins, such as the Ca2+-sensor synaptotagmin (Ballif ; Wiśniewski ; Trinidad ). During synaptic vesicle release, calcium-bound synaptotagmin displaces complexin from the SNARE complex, allowing progression to the final stages of vesicle fusion (Giraudo ). Whether a phosphorylation-dependent switch in synaptotagmin function or another exocytic component could be involved in developmental exocytosis in neurons is an exciting possibility. An alternative, intriguing possibility is that FAK-dependent modulation of the small Rho GTPase Cdc42, which functions in a late stage of exocytosis in yeast (Adamo ; Myers ), could be regulating vesicle fusion in neurons.Taken together, our data indicate that FAK activity is necessary for netrin-dependent increases in exocytosis and axon branching and that the elevated FAK activity that occurs in the absence of Trim9 is required for the elevated exocytosis and axon branching in these neurons. Intriguingly, the relevance of this pathway in vivo is supported by our finding that expression of a noncatalytic version of FAK reduces the exuberant axon branching in the corpus callosum of Trim9mice. Our previous studies indicate that TRIM9 is also required for netrin-dependent axon guidance (Menon, Boyer, ). Application of the repulsive cue Sema3a decreases VAMP2-mediated exocytosis and Sema3a receptor trafficking, which regulates repulsive growth cone turning (Zylbersztejn ). Analogously, we speculate that TRIM9 and FAK may regulate axon guidance via the modulation of VAMP2-mediated exocytosis.
MATERIALS AND METHODS
Animals
All mouse lines were on a C57BL/6J background and bred at the University of North Carolina (UNC) with approval from the Institutional Animal Care and Use Committee. Timed pregnant females were obtained by placing male and female mice together overnight; the following day was designated as embryonic day (E) 0.5 if the female had a vaginal plug. Trim9 and Thy1-GFP (Line M) mice were as previously described (Feng ; Winkle ). We crossed the Trim9/Thy1GFP mice, with Nex-Cre mice (Goebbels ) and FRNKloxp mice (DiMichele ) (generous gift from Joan Taylor, UNC–Chapel Hill).
Antibodies, reagents, and plasmids
Antibodies used in this study include mouse anti-Myc (9E10; Santa Cruz Biotechnology and UNC Antibody Core Facility), rabbit anti-FLAG (Sigma), mouse anti-HA (Millipore), rabbit anti-GFP (Invitrogen), mouse anti-GFP (NeuroMab), rabbit anti-βIII tubulin (Covance), mouse anti-βIII tubulin (Covance), mouse anti-GAPDH (Santa Cruz Biotechnology), mouse anti-ubiquitin (Santa Cruz Biotechnology), mouse anti-Syntaxin 1A (Santa Cruz Biotechnology), rabbit anti-VAMP2 (Cell Signaling), goat anti-SNAP25 (Santa Cruz Biotechnology), rabbit anti-FAK-pY397 (Invitrogen), rabbit anti-FAK-pY861 (Novex), mouse anti-FAK (Invitrogen), goat anti-DCC (A-20, Santa Cruz Biotechnology), and rabbit anti-DCC pY1418 (generously provided by Nathalie LaMarche Vane, McGill University). Anti-Myc (9E10)-conjugated agarose beads (Santa Cruz Biotechnology), DCC-A20–conjugated agarose beads (Santa Cruz Biotechnology), or HA antibody–conjugated Sepharose beads (Cell Signaling) were used for immunoprecipitations. Alexa Fluor 488–, Alexa Fluor 568–, or Alexa Fluor 647–labeled secondary antibodies and phalloidin (Invitrogen) were used for immunocytochemistry. Far red–labeled secondary antibodies (Li-Cor) were used for Western blots.Fluorescent and epitope-tagged TRIM9mammalian expression plasmids have been previously described (Winkle ). For generating pHluorin-DCC, pHluorin was subcloned into mCherry-DCC (Winkle ). High-confidence ubiquitination sites were predicted using UbPred (Radivojac ), and the DCCKR mutant was generated via GENEBlocks (Life Technologies). pHluorin-VAMP2, eGFP-VAMP2, and eGFP-VAMP7 were previously described (Miesenböck ; Gupton and Gertler, 2010). HA-DCC and Myc-DCC were generous gifts from Tim Kennedy (McGill University). Myc-FAK was a generous gift from Joan Taylor (UNC–Chapel Hill). The ratFRNK construct was a kind gift of J.T. Parsons (University of Virginia, Charlottesville, VA). Recombinant chickennetrin-1 was concentrated from supernatant of HEK293 cells (Serafini ; Lebrand ). The FAK inhibitor 14 (Tocris), bortezomib (SCBT), and MG132 (American Peptide) were used at the indicated concentrations.
Cell culture and transfection
E15.5-dissociated cortical neuronal cultures were prepared as previously described (Viesselmann ). Briefly, cortices were microdissected, and neurons were dissociated with trypsin and plated on poly-d-lysine (Sigma)-coated coverslips, glass-bottom movie dishes (MaTek), or tissue culture–treated plastic in Neurobasal medium (Invitrogen) supplemented with B27 (Invitrogen). For all plasmid transfections, dissociated neurons were resuspended in mouse neuron LonzaNucleofector solution and electroporated in accordance with the manufacturer’s protocol before plating. TRIM9 and CRISPR-generated, TRIM9HEK293 cells were described previously (Menon, Boyer, ). HEK293 cells were maintained in DMEM with glutamine (Invitrogen) supplemented with 10% fetal bovine serum (Hyclone). HEK293 cells were transfected using Lipofectamine 2000 (Invitrogen) as per the manufacturer’s protocol.
Immunoblotting and immunoprecipitation
For all immunoblotting and quantification, SDS–PAGE and immunoblot analyses were performed using standard procedures. All lysate concentrations were calculated via spectrophotometry using Bradford concentration reagent (Bio-Rad). Samples were diluted in 5X sample buffer, resolved via SDS–PAGE, and transferred to nitrocellulose, and the resulting Western blots were probed with primary and corresponding secondary antibodies as indicated. Signal was detected with Odyssey Imager (Li-Cor) and either analyzed via Li-Cor Image Studio Lite or ImageJ. All values were normalized to loading control and to wild-type control condition, unless otherwise noted.Coimmunoprecipitations were performed using mouse immunoglobulin G–conjugated A/G beads (SCBT) to preclear lysates for 1 h at 4°C with agitation. For DCC multimerization studies, cells were cotransfected with HA-DCC and pHluorin-(GFP) DCC, treated, and lysed in lysis buffer (50 mM Tris, pH 7.5, 200 mM NaCl, 2 mM MgCl2, 10% glycerol, 1% NP-40, supplemented with protease and phosphatase inhibitors). HA-DCC and interacting proteins were immunoprecipitated from cell lysate overnight at 4°C. For FAK coimmunoprecipitation with pHluorin-DCC, cells were transfected with Myc-FAK and either pHluorin-DCC or pHluorin-DCCKR, treated, and lysed in lysis buffer. Lysates were incubated with DCC antibody overnight at 4°C. For DCC coimmunoprecipitation with Myc-TRIM9, cells were transfected with HA-DCC and Myc-TRIM9, treated, and lysed in lysis buffer. Lysates were incubated with Myc antibody overnight at 4°C. Beads were washed three times with lysis buffer, and bound proteins were prepared in sample buffer, resolved by SDS–PAGE, and analyzed by immunoblotting.For measuring ubiquitination, HEK293 cells transfected with HA-DCC, pHluorin-DCC, or pHluorin-DCCKR and FLAG-Ub or cortical neurons at 48 h after plating were treated with 10 μM MG132 for 4 h ± 600 ng/ml netrin-1for 40 min. Cells were lysed in ubiquitin immunoprecipitation buffer (20 mM Tris-Cl, 250 mM NaCl, 3 mM EDTA, 3 mM EGTA, 0.5% NP-40, 1% SDS, 2 mM dithiothreitol, 5 mM N-ethylmaleimide, 3 mM iodoacetamide, and protease and phosphatase inhibitors, pH = 7.3–7.4). For 5–6 million cells 270 μl of ubiquitin immunoprecipitation buffer was added, and the cells were incubated on ice for 10 min. Cells were removed from the dish and transferred into tubes. Thirty microliters of 1X PBS was added to each tube, and the tubes were gently vortexed. Samples were boiled immediately for 20 min until clear, then centrifuged at 14,000 rpm for 10 min. The boiled samples were diluted using IP buffer without SDS to reduce SDS concentration to 0.1%. DCC from HEK293 cells was immunoprecipitated using the appropriate tags. A similar protocol using antibodies against endogenous DCC and ubiquitin was used for untransfected cultured neurons. Immunoprecipitations were performed under conditions in which only covalent interactions were preserved with anti-GFP (mouse)/anti-HA (mouse) antibody or anti-DCC (goat) antibody coupled to protein A/G agarose beads.For assessment of proteasomal degradation of DCC, Trim9 and Trim9 E15.5 cortical neurons were treated with 100 nM bortezomib for 4 h before 40 min of 500 ng/ml netrin-1 stimulation and lysis. For assessment of FAK pY397 and pY861 in response to netrin-1 stimulation, 250 ng/ml netrin-1 was bath applied at the indicated times before lysis or left untreated for control. For assessment of total DCC and DCC pY1418 protein levels, 500 ng/ml netrin-1 was bath applied between at 72 h to dissociated Trim9 and Trim9 E15.5 cortical neurons for 30 min before lysis or left untreated for control. Neurons were lysed in a lysis buffer and stabilized in SDS sample buffer and processed and quantified as described earlier. For assessment of SNARE complexes, assays were performed as extensively outlined in the literature (Winkle , 2016). In brief, cell lysates from untreated neurons and neurons that were netrin-1 (250 ng/ml) or FAKi (5 μM) treated for 1 h were stabilized in sample buffer and incubated at 37°C for complexes or 100°C for monomers. Resulting samples were processed and quantified as described earlier.
Live-cell imaging
Live-cell confocal z-stacks of mCherry-DCC were acquired at room temperature (RT) on an inverted Olympus IX81 zero-drift spinning-disk confocal microscope (Yokogawa CSU-X1) with Andor iQ acquisition software (Andor Revolution XD system), an electron-multiplying charge-coupled device (iXon), a 50-mW, 561-nm laser, band-pass emission filters (Semrock brightline) for 607–36 nm (TR-F607-036), and a 60× PlanSApo 1.2-W objective. Live-cell TIRF imaging was performed on an inverted microscope (IX81-ZDC2) with MetaMorph acquisition software, an electron-multiplying charge-coupled device (iXon), and an imaging chamber (Stage Top Incubator INUG2-FSX; Tokai Hit) maintained at 37°C and 5% CO2.For measurement of DCC spatial clustering, neurons transfected with mCherry-DCC, pHluorin-DCC, or mCherry-DCC, and GFP-TRIM9 variants were imaged after being in culture for 48 h every 10 s for 8 min before and after stimulation with 500 ng/ml netrin-1, using a 100×, 1.49 NA TIRF objective and a solid-state 491-nm and 561-nm laser illumination at 120-nm penetration depth. Resulting image stacks were aligned using the ImageJ plug-in (TurboReg). For analysis of DCC clustering, cell masks were automatically generated using a cell-segmentation algorithm in MATLAB. The average of the pretreated image stacks was subtracted from each image followed by a sharpening mask and a Gaussian blur, and finally, a threshold was applied using Otsu’s method (Otsu, 1979) to create the cell mask. This cell mask was subdivided into an edge mask, defined as the outer pixels nearest the cell perimeter (0.64 μm in width), and the inner mask, defined as the remaining pixels that did not belong to the edge mask. DCC fluorescence intensity was corrected for photobleaching using the ImageJ CorrectBleach plug-in. Image stacks were temporally aligned to the “treatment frame,” at which time the cells were stimulated with netrin. The average pixel intensity for each region of interest (ROI; whole cell, perimeter, and cell center) was calculated for each time point and normalized to the whole-cell fluorescence. The temporal changes in average DCC fluorescence intensity for each ROI were fit using local polynomial regression fitting (LOESS). All LOESS curves were second-order polynomials fit with α = 0.75. For comparison of the brightest DCC-containing pixels (assumed to represent the most clustered DCC molecules) the pixel intensities of the pretreatment image stack and posttreatment stack were averaged. A threshold was applied to capture the top 10% of brightest pixels in the cell mask. The percentage of these pixels located within the cell edge mask was compared across each condition.For exocytic vesicle fusion assays, neurons expressing VAMP2-pHluorin were imaged at 48 h after plating with a 100×, 1.49 NA TIRF objective and a solid-state 491-nm laser illumination at 100-nm penetration depth. Images were acquired every 0.5 s for 5 min. The frequency of exocytic events normalized per cell area and time is reported for the entire cell area. At 1 h before netrin-1–stimulated neurons were imaged, 500 ng/ml netrin-1 ± 1 μM FAKi was added to the dish. For imaging eGFP-VAMP2 containing vesicle motility at 48 h in vitro, Trim9 neurons expressing eGFP-VAMP2 and cytoplasmic mCherry were imaged at 100× magnification every 2 s for 5 min with a TIRF illumination penetration depth of 100 nm. FAKi treatment (5 μM) occurred 30 min before imaging. Images were analyzed using ImageJ (Schindelin ); a threshold of the mCherry images was used to measure the total area of the footprint of the cell, and an average projection of the eGFP-VAMP2 time lapse was used to identify nonmotile vesicles. The percentage of the neuronal footprint area containing nonmotile vesicles is reported.
Axon-branching assays
For in vitro axon-branching assays, 250 ng/ml netrin-1 was bath applied after 48 h in culture, and FAK-inhibited conditions were treated with 1 μM FAKi. Cells were fixed in 4% paraformaldehyde for 20 min at 72 h in culture, permeabilized for 10 min in 0.1% Triton X-100, blocked for 30 min in 10% bovine serum albumin, and incubated with indicated primary antibodies for 1 h at RT. Following three washes, neurons were incubated in spectrally distinct, species-appropriate, fluorescent secondary antibodies for 1 h at RT. Following three washes, cells were mounted in a TRIS/glycerol/n-propyl-gallate–based mounting media for imaging. Widefield epifluorescence images of pyramidal-shaped neurons were collected at RT on an inverted microscope with 40×, 1.4 NA Plan-Apochromat objective lens (Olympus), MetaMorph acquisition software, and an electron-multiplying charge-coupled device (iXon). Axon branches were defined as extensions off the primary axon that were ≥ 20 μm in length.For analysis of axon branching in vivo, 200 μm coronal sections of 3-wk-old Thy1-GFP/Trim9, Thy1-GFP/Trim9/Nex-CRE/FRNKLoxSTOPLox, Thy1-GFP/Trim9, and Thy1-GFP/Trim9/Nex-CRE/FRNKLoxSTOPLox littermates mounted in DPX mountant (Fisher) were imaged on a confocal inverted microscope (Fluoview FV1200, Olympus) equipped with a 20×/0.75 NA Plan-Apochromat objective lens with a 488-nm argon laser. Multiarea z-stacks were stitched; ROIs containing potential axon branch points were identified in maximum projections. Candidate branches were confirmed by inspection of stitched z-stacks by the intersection and coalescence of two resolved axons. Candidate branches were rejected if axons were observed to intersect but not coalesce or if one axon left the focal plane without having reached the potential branch point.
Transmission electron microscopy
For electron microscopy, neurons were plated on ACLAR film in 35-mm dishes and prepared as previously described (Heckman, 2008). Briefly, after 48 h in vitro, neurons were left untreated or underwent a 30-min treatment with 5 μM FAKi. Subsequently they were rinsed with 1X phosphate-buffered saline (PBS; pH 7.5); fixed for 20 min in 0.1 M NaCl and 0.05 M cacodylate (pH 7.5) containing 2.5% wt/vol glutaraldehyde; washed two times PBS; and postfixed in a solution containing 1% wt/vol osmium tetroxide and 1.5% wt/vol potassium ferricyanide. After being dehydrated in graded hexylene glycol, cells were embedded in plastic (Spurr’s resin with ERL-4221). Thin sections (70 nm) were cut and collected on nickel mesh grids and contrasted with 4% wt/vol uranyl acetate followed by 0.4% wt/vol lead citrate. Sections were examined under a transmission electron microscope (Philips Tecnai 12). Circular structures with a membrane were considered vesicles. All vesicle diameters were measured. Vesicles within 100 nm of the plasma membrane were reported. All analysis was performed blinded.
Statistics
At least three independent experiments were performed for each assay. Data distribution normality was determined using the Shapiro-Wilks test. Normally distributed data were compared by unpaired t test for two independent samples. For more than two samples with normal distribution, statistical comparisons were made by analysis of variance (ANOVA) with Bonferroni (three to four comparisons) or Tukey (more than four comparisons) post hoc correction. For nonnormally distributed data, the Mann-Whitney test was used to compare two samples. For more than two samples, Kruskal-Wallis nonparametric ANOVA with the post hoc corrections described above was used. For analysis of Western blots, Kruskal-Wallis nonparametric ANOVAs with least significant difference (LSD) correction were made. Data are presented in Figures 1–6 as box-and-whisker plots indicating the 25th percentile (bottom boundary), median (middle line), 75th percentile (top boundary), and nearest observations within 1.5 times the interquartile range (whiskers). Outliers are defined as data points outside 1.5 times the interquartile range. Red lines indicate arithmetic means, individual blue data points are included when experimental observations per condition are less than 10, such as Western blots. Outliers are included in statistical analyses.
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