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. 2024 Jan 30;12:RP89176. doi: 10.7554/eLife.89176

Ubiquitin ligase and signalling hub MYCBP2 is required for efficient EPHB2 tyrosine kinase receptor function

Chao Chang 1,2, Sara L Banerjee 1,3, Sung Soon Park 1,2, Xiao Lei Zhang 1, David Cotnoir-White 1,, Karla J Opperman 4, Muriel Desbois 4,5, Brock Grill 4,6,7, Artur Kania 1,2,3,8,
Editors: Oren Schuldiner9, Jonathan A Cooper10
PMCID: PMC10945567  PMID: 38289221

Abstract

Eph receptor tyrosine kinases participate in a variety of normal and pathogenic processes during development and throughout adulthood. This versatility is likely facilitated by the ability of Eph receptors to signal through diverse cellular signalling pathways: primarily by controlling cytoskeletal dynamics, but also by regulating cellular growth, proliferation, and survival. Despite many proteins linked to these signalling pathways interacting with Eph receptors, the specific mechanisms behind such links and their coordination remain to be elucidated. In a proteomics screen for novel EPHB2 multi-effector proteins, we identified human MYC binding protein 2 (MYCBP2 or PAM or Phr1). MYCBP2 is a large signalling hub involved in diverse processes such as neuronal connectivity, synaptic growth, cell division, neuronal survival, and protein ubiquitination. Our biochemical experiments demonstrate that the formation of a complex containing EPHB2 and MYCBP2 is facilitated by FBXO45, a protein known to select substrates for MYCBP2 ubiquitin ligase activity. Formation of the MYCBP2-EPHB2 complex does not require EPHB2 tyrosine kinase activity and is destabilised by binding of ephrin-B ligands, suggesting that the MYCBP2-EPHB2 association is a prelude to EPHB2 signalling. Paradoxically, the loss of MYCBP2 results in increased ubiquitination of EPHB2 and a decrease of its protein levels suggesting that MYCBP2 stabilises EPHB2. Commensurate with this effect, our cellular experiments reveal that MYCBP2 is essential for efficient EPHB2 signalling responses in cell lines and primary neurons. Finally, our genetic studies in Caenorhabditis elegans provide in vivo evidence that the ephrin receptor VAB-1 displays genetic interactions with known MYCBP2 binding proteins. Together, our results align with the similarity of neurodevelopmental phenotypes caused by MYCBP2 and EPHB2 loss of function, and couple EPHB2 to a signalling effector that controls diverse cellular functions.

Research organism: C. elegans, Chicken, Human, Mouse, Rat

Introduction

Eph receptor tyrosine kinases and their membrane-tethered ligands, the ephrins, elicit short distance cell-cell signals that regulate many biological processes. Ephrin-Eph signalling primarily impacts the cytoskeleton with the immobilization of highly dynamic axonal growth cones being a classic example. Other processes that involve changes in transcription, growth, and survival such as angiogenesis, synaptic plasticity, stem cell fate, tumorigenesis, and neurodegeneration also involve the Eph/ephrin system. Many proteins are postulated to couple Eph receptors to different intracellular effectors, but the molecular logic of this diversity remains fragmented (Kania and Klein, 2016; Bush, 2022).

EphB subfamily members preferentially bind transmembrane ephrin-Bs and although both molecules participate in bidirectional signalling, ephrin-B activation of EphB signalling cascades is more thoroughly studied (Gale et al., 1996; Mellitzer et al., 1999). To elicit robust Eph receptor forward signalling, ephrins multimerise in signalling clusters by intercalating with Ephs on a signal-recipient cell with array size correlating with signal amplitude (Kullander et al., 2001; Schaupp et al., 2014). Signalling initiation involves the activation of the receptor tyrosine kinase and phosphorylation of tyrosines proximal to the EphB transmembrane domain (Soskis et al., 2012; Binns et al., 2000). Eph-evoked cytoskeletal effects such as cell contraction and growth cone collapse result from changes in small GTPase activity modulated by EphB Guanine nucleotide exchange factors (GEFs) and GTPase activating proteins (GAPs) (Margolis et al., 2010; Shi et al., 2007). Eph signalling has also been linked to fundamental cellular pathways such as the Ras-MAPK pathway, mTOR-regulated protein synthesis, cell division, and survival (Bush and Soriano, 2010; Nie et al., 2010; Fawal et al., 2018; Genander et al., 2009; Depaepe et al., 2005). Eph forward signalling eventually leads to their internalisation and either recycling or degradation via endosome/lysosome and ubiquitination/proteasome pathways (Zimmer et al., 2003; Okumura et al., 2017). While identification of a growing number of proteins interacting with Eph receptors has moved the field forward, we have yet to clarify the question of how Eph receptors activate various fundamental cellular processes, often within the same cell type.

Myc-binding protein 2 (MYCBP2), also known as Protein Associated with Myc (PAM) and Highwire, RPM-1, or Phr1 in different species, is a large signalling hub that regulates cytoskeletal dynamics, neuronal development, and axonal degeneration (Guo et al., 1998; Grill et al., 2016; Virdee, 2022). It has an atypical RING ubiquitin ligase activity that inhibits the p38/MAP and JNK kinase pathways thereby regulating cytoskeletal dynamics underlying axonal development and synaptic growth (Nakata et al., 2005; Collins et al., 2006; Pao et al., 2018; Wan et al., 2000; Lewcock et al., 2007; Borgen et al., 2017). MYCBP2 further regulates the Tuberin Sclerosis Complex linked to cell growth (Han et al., 2012), initiation of autophagy via ULK (Crawley et al., 2019) and NMNAT2-regulated neuronal survival and axonal degeneration (Babetto et al., 2013; Xiong et al., 2012). Biochemical mapping has shown that human MYCBP2 and its Caenorhabditis elegans ortholog RPM-1 rely upon the FBD1 domain to bind the F-box protein FBXO45 that acts as a ubiquitination substrate selector (Desbois et al., 2018; Sharma et al., 2014). Intriguingly, the neurodevelopmental phenotypes caused by MYCBP2 and EPHB2 loss of function are similar, raising the possibility that these two molecules could function in the same pathway (Henkemeyer et al., 1996; Lewcock et al., 2007; Dalva et al., 2000). Nonetheless, a biochemical or genetic interaction between MYCBP2 and EPHB2 has not been demonstrated in any system.

To shed light on how EphB receptors fulfil their multitude of functions, we used mass spectrometry (MS)-based proteomics to identify multi-effector proteins that bind EPHB2. One of our proteomic hits was MYCBP2, which we demonstrated forms a complex with EPHB2 using a combination of biochemical and cellular assays. Furthermore, we show that this interaction is required for efficient EPHB2 signalling in cell lines and primary neurons. Consistent with these findings, we observed in vivo genetic interactions in C. elegans between the Eph receptor, VAB-1, and known RPM-1 binding proteins. Our collective results indicate that the relationship between EPHB2 and MYCBP2 does not appear to involve the ubiquitin ligase activity of MYCBP2, and raise the possibility that MYCBP2 links EPHB2 to diverse fundamental cellular functions.

Results

Proteomics identifies MYCBP2 as a putative EPHB2-interacting protein

To understand the molecular logic underlying EPHB2 signalling diversity, we performed affinity purification coupled to MS (AP-MS) in order to identify EPHB2-interacting proteins, and prioritised those known to be signalling hubs. We used a stable HeLa cell line with tetracycline-inducible expression of BirA-linked EPHB2-FLAG, that we previously used to study EPHB2 signalling (Lahaie et al., 2019). To identify ephrin ligand-dependent EPHB2 protein complexes, we stimulated EPHB2-FLAG-overexpressing cells with pre-clustered Fc control or ephrinB2-Fc (eB2-Fc). We then harvested and lysed the cells, performed anti-FLAG immunoprecipitation, and used mass spectrometry to identify EPHB2 protein complexes (Figure 1A).

Figure 1. MS-proteomics and biochemistry in HeLa cells identifies MYCBP2 as EPHB2 binding protein.

Figure 1.

(A) Schematic of EPHB2 affinity purification coupled to mass spectrometry (AP-MS) workflow. (B) Scatter plot of AP-MS data showing known and putative EPHB2 binding proteins, including MYCBP2. Y and X axes represent the average spectral counts of the identified protein hits in the EPHB2 protein complexes from cells stimulated with Fc control or ephrin-B2 (eB2-Fc), respectively. (C) In HEK 293T cells, endogenous MYCBP2 is pulled down by transiently overexpressed EPHB2-FLAG but not by EPHA3-FLAG. (D) In EPHB2-FLAG stable HeLa cell line, ephrin-B stimulation reduces the interaction between MYCBP2 and EPHB2. (E) Quantification of MYCBP2-EPHB2 association intensity after Fc, ephrin-B1 (eB1-Fc) or ephrin-B2 (eB2-Fc) treatment (eB1-Fc, p=0.1365; eB2-Fc, p=0.0002; one-sample t-test). EPHB2-MYCBP2 interaction reduction evoked by eB1-Fc is not statistically significant, probably because of high experimental variability which could be biologically significant. Error bars represent standard deviation (SD). (F) Representative image of MYCBP2 pull down with anti-EPHB2 or IgG control antibodies from rat cortical neurons. Asterisk indicates MYCBP2. (G) Representative images from western blot analysis of endogenous MYCBP2 following IP of GFP-EPHB2 wild-type (WT) or its kinase dead (KD) counterpart.

Figure 1—source data 1. Related to Figure 1C and D.
Figure 1—source data 2. Related to Figure 1F and G.

To identify EPHB2-specific interactions and remove background contaminants, we performed Significance Analysis of INTeractome (SAINTexpress analysis Teo et al., 2014) using our EPHB2-related controls (Lahaie et al., 2019). To better visualize the changes in putative EPHB2 binding partners, we compared the average spectral counts of the identified proteins using ProHits-viz tool (Knight et al., 2017). Comparison of Fc and ephrin-B2-treated samples did not yield any significant differences. Since we applied the ligand and collected the samples on a time scale comparable to known EphB signalling dynamics, this limitation could be potentially due to autoactivation of Eph receptors when they are overexpressed, obscuring some ligand-dependent effects (Lackmann et al., 1998). However, the resulting scatter plot confirmed the presence of several known EPHB2 interactors, such as FYN and YES1 Src kinases and members of the Eph receptor family (Figure 1B; Banerjee et al., 2022). One of the most prominent, novel hits was the E3 ubiquitin ligase and signalling hub protein MYCBP2, and its binding partner FBXO45. FBXO45 was previously identified as a putative EPHB2 interacting protein in large-scale, cell-based interactome studies (Huttlin et al., 2021; Salokas et al., 2022).

Biochemical validation of MYCBP2 binding to EPHB2

To confirm that MYCBP2 can indeed form a molecular complex with EPHB2, we tested whether endogenous MYCBP2 co-immunoprecipitates (co-IP) with FLAG-tagged EPHB2 in HEK 293T cells. Based on differences in EPHB2 and EPHA3 interactomes, we reasoned that EPHA3 may serve as a negative control for the EPHB2-MYCBP2 association (Huttlin et al., 2021). We found that MYCBP2 coprecipitated with affinity-purified EPHB2-FLAG, but not EPHA3 (Figure 1C). This confirmed MYCBP2 binding to EPHB2 and suggested MYCPB2 displays EPH receptor subtype specificity. Importantly, the EPHB2-MYCBP2 interaction was reduced by 24.5% and 53% following ephrin-B1 and ephrin-B2 treatment respectively in HeLa EPHB2 cells, suggesting the involvement of MYCBP2 in ephrin-B:EPHB2 signalling (Figure 1D and E, eB1-Fc, p=0.1365; eB2-Fc, p=0.0002). To test this interaction in vivo, we performed co-IP using dissociated rat cortical neurons, which further confirmed MCYBP2 association with EPHB2 (Figure 1F).

We next asked whether the kinase activity of EPHB2 is required for the formation of the EPHB2-MYCBP2 complex. To test this, we expressed GFP-tagged wild type (WT) EPHB2 or EPHB2 with a kinase-dead mutation (KD) in HeLa cells. We found that MYCBP2 showed comparable coprecipitation with WT and KD EPHB2 (Figure 1G). Thus, EPHB2 kinase activity is not required for the formation of MYCBP2-EPHB2 complexes, suggesting that MYCBP2 association with EPHB2 may be a prelude to ephrin-B-evoked EPHB2 signalling.

FBXO45 enhances the association between MYCBP2 and EPHB2

Our proteomics screen for EPHB2 interactors also identified FBXO45, the F-box protein that forms a ubiquitin ligase complex with MYCBP2 (Sharma et al., 2014; Saiga et al., 2009). Thus, we initially reasoned that FBXO45 might perform a similar role in the formation of the MYCBP2-EPHB2 complex. We first tested whether FBXO45 binds to EPHB2 by co-expressing MYC-tagged FBXO45 with EPHB2-FLAG or EPHA3-FLAG in HEK293T cells. Co-IP revealed that FBXO45 can associate with EPHB2 but not EPHA3, suggesting that EPHB2, FBXO45, and MYCBP2 could form a ternary complex (Figure 2A). To test this idea, we co-expressed EPHB2-FLAG and GFP-MYCBP2 in the presence or absence of MYC-FBXO45 and examined co-IP efficiency between EPHB2 and MYCBP2. Interestingly, FBXO45 enhanced the interaction between EPHB2 and MYCBP2 (Figure 2B and C, p=0.0068). Together, these data suggest that EPHB2 can form a complex with both MYCBP2 and FBXO45 and that FBXO45 increases the efficiency of MYCBP2-EPHB2 interaction.

Figure 2. Mapping binding regions for EPHB2-MYCBP2 reveals role of FBXO45 in this interaction.

Figure 2.

(A) Co-IP of EPHB2-FLAG with MYC-FBXO45 using transfected HEK293 cells. EPHB2 co-precipitates FBXO45, but EPHA3 does not. Asterisk indicates MYC-FBXO45. (B) In HEK 293T cells, FBXO45 overexpression enhances EPHB2-MYCBP2 binding. Asterisk indicates MYC-FBXO45. (C) Quantification of the association intensity of MYCBP2 and EPHB2 upon FBXO45 overexpression (EPHB2, p=0.0068; EPHB2 vs EPHA3, p=0.0005; one sample t-test). Error bars represent SD. (D) Schematic representation of MYCBP2 N-terminal, Central, and C-terminal fragments. (E) Co-IP of EPHB2-FLAG with GFP-MYCBP2 fragments in HEK 293T cells. EPHB2 coprecipitates with MYCBP2 central fragment. Asterisks indicate GFP-MYCBP2 fragments. (F) Schematic of chimeric domain swapping of EPHB2 (orange) and EPHA3 (grey). (G) Co-IP of MYC-FBXO45 and endogenous MYCBP2 with EPHB2/EPHA3 domain swapped chimeras. (H) Schematic representation of EPHB2 ΔECD (extracellular domain, aa deletions of 19–530) and ΔICD (intracellular domain, aa deletions of 590–986) truncations. (I) Co-IP of endogenous MYCBP2 with EPHA3, EPHB2 and EPHB2 truncation mutants. ECD, extracellular domain; TM, transmembrane; JM, juxtamembrane; SAM, Sterile alpha motif; PBM, PDZ (PSD-95, Dlg1, Zo-1) binding motif.

Figure 2—source data 1. Related to Figure 2A, B and E.
Figure 2—source data 2. Related to Figure 2G, I.

Biochemical mapping of EPHB2-MYCBP2 interaction

To identify the MYCBP2 protein domain(s) required for the formation of the ternary complex with EPHB2 and FBXO45, we co-expressed EPHB2-FLAG and three GFP-MYCBP2 fragments in HEK293T cells. Co-IP revealed that the central region of MYCBP2 was sufficient for binding with EPHB2 (Figure 2D and E). In addition, co-expression of MYC-FBXO45 demonstrated that the association of the central domain of MYCBP2 with EPHB2 is enhanced by FBOX45 and is consistent with the presence of an FBXO45 binding site within this MYCBP2 fragment (Figure 2E; Sharma et al., 2014).

To identify the domains of EPHB2 required for the formation of the tripartite complex, we took advantage of the observation that EPHA3 does not readily form a complex with MYCBP2 or FBXO45. Thus, we performed domain swapping experiments between EPHB2 and EPHA3 reasoning that placing EPHA3-specific sequences in EPHB2 would inhibit the formation of the tripartite complex. We constructed a series of FLAG-EPHB2/EPHA3 chimeras and determined whether they bound MYCBP2 in the presence of FBXO45 (Figure 2F). Co-IP revealed that the ability of a particular chimera to associate with MYCBP2 was correlated with its association with FBXO45, in line with the MYCBP2-FBXO45 complex interacting with EPHB2. Surprisingly, we found that EPHB2-EPHA3 chimeras with an EPHA3 identity of intracellular juxtamembrane, kinase, SAM or PDZ binding domains retained the ability to associate with FBXO45 and MYCBP2, suggesting that the formation of the tripartite complex is driven by the extracellular domain and/or the transmembrane domain of EPHB2 (Figure 2G). However, these results are also consistent with the possibility that the EPHB2 identity of the extracellular fragments could alter the conformation of the intracellular domains of EPHA3 identity, allowing the interaction with FBXO45-MYCBP2 to occur. To exclude this possibility, we created EPHB2 mutants lacking the intracellular or extracellular domains and tested their ability to complex with MYCBP2 and FBXO45 by co-IP (Figure 2H). In these experiments, only the deletion mutant lacking the intracellular domain retained its ability to form the tripartite complex. Collectively, these results argue that the combination of extracellular and transmembrane domains of EPHB2 are necessary and sufficient for formation of the MYCBP2–FBXO45–EPHB2 complex (Figure 2I). Since EPHB2 is a transmembrane protein and MYCBP2 is localised in the cytosol, these experiments suggest that the interaction between the extracellular domain of EPHB2 and MYCBP2 might be indirect and mediated by other unknown transmembrane proteins.

MYCBP2 is required for EPHB2-mediated cellular responses

Given the decrease in MYCBP2–EPHB2 association evoked by ephrin-B treatment (Figure 1D and E), we next sought to determine whether MYCBP2 fulfils a specific function in ephrin-B:EPHB2 forward signalling. Thus, we infected EPHB2-FLAG HeLa cells using lentivirus containing CRISPR sgRNA targeting the MYCBP2 exon 6, and pooled MYCBP2CRISPR cells after puromycin selection (Figure 3A). Using EPHB2-FLAG HeLa cells carrying a stably integrated empty expression vector (CTRLCRISPR) as controls, we found that MYCBP2CRISPR led to a reduction in endogenous MYCBP2 protein levels (Figure 3B).

Figure 3. MYCBP2 CRISPR HeLa cells exhibit reduced ephrin-B2 evoked cell retraction and ephrin-B2 stripe avoidance.

Figure 3.

(A) Schematic of generation of stable CTRLCRISPR or MYCBP2CRISPR HeLa EPHB2-FLAG cells. Note that these are not clonal cell lines. (B) MYCBP2 is reduced in HeLa MYCBP2CRISPR cells generated by sgRNA targeting MYCBP2 exon 6. (C) Representative images of cell collapse assays using CTRLCRISPR or MYCBP2CRISPR HeLa cells that were stimulated with ephrin-B2. Red arrows indicate rounded/collapsed cells. Scale bar is 10 μm, (D) Quantification of collapsed cells. Statistical significance between CTRLCRISPR and MYCBP2CRISPR cells was determined using two-way ANOVA followed by Sidak’s multiple comparison test (CTRLCRISPR vs MYCBP2 CRISPR: Fc, p=0.9903; eB2-Fc, p<0.0001. Fc vs eB2-Fc: CTRLCRISPR, p<0.0001; MYCBP2 CRISPR, p=0.0003). (E) Representative time-lapse sequences of CTRLCRISPR and MYCBP2CRISPR HeLa cells after ephrin-B2 treatment. (F) Quantification of cell area reduction after 60 min exposure to ephrin-B2. Cell area contraction ratio: CTRLCRISPR, 27.1%; MYCBP2CRISPR, 18.8%. p=0.0268, two-tailed unpaired t test. Data points corresponding to cells in representative images in panel E are in blue. (G) Ephrin-B2 stripe assays using CTRLCRISPR or MYCBP2CRISPR HeLa cells. Cells are visualized with Phalloidin 488 staining and nuclei are stained with DAPI (black, Fc stripes; red, ephrin-B2 stripes). Scale bar is 50 μm. (H) Quantification of cells present on ephrin-B2 stripes (%). Statistical significance was determined using two-tailed unpaired t-test (p=0.0109). Error bars represent SD.

Figure 3—source data 1. Related to Figure 3B.

To study the role of MYCBP2 in EphB signalling, we took advantage of an experimental paradigm in which exposure to ephrin-B2 evokes cytoskeletal contraction of HeLa cells expressing EPHB2 (Lahaie et al., 2019). Thus, following induction of EPHB2 expression, MYCBP2CRISPR and CTRLCRISPR cells were stimulated with pre-clustered Fc control or ephrin-B2 for 15 min and scored as collapsed or uncollapsed. While the proportion of collapsed cells for the two cell lines treated with Fc was similar (CTRLCRISPR, 5.4%; MYCBP2CRISPR, 5.2%; p=0.9903), ephrin-B2 treatment resulted in the collapse of 19.9% of CTRLCRISPR cells but only 12.1% of MYCBP2CRISPR cells (n=9 coverslips; Figure 3C and D; p<0.0001). Moreover, when compared to the Fc conditions, MYCBP2CRISPR cells exhibited a less drastic change in collapse rate upon ephrin-B2 treatment (Figure 3C and D; eB2 vs Fc: CTRLCRISPR, p<0.0001; MYCBP2CRISPR, p=0.0003). In addition, time-lapse imaging of MYCBP2CRISPR and CTRLCRISPR cells transiently transfected with an EPHB2-GFP expression plasmid revealed a similar attenuation of ephrin-B2-induced cellular contraction (Figure 3E and F; p=0.0268). These data argue that MYCBP2 regulates a short-term cellular response evoked by ephrin-B2:EPHB2 signalling.

To study longer-term cellular responses evoked by ephrin-B2:EPHB2 signalling, we turned to a stripe assay in which the preference of CTRLCRISPR and MYCBP2CRISPR cells for immobilized ephrin-B2 or Fc was measured. To do this, cells of either line were deposited over alternating stripes of ephrin-B2 or Fc, and stripe preference was scored for individual cells after overnight incubation. While only 33.2% of CTRLCRISPR cells resided on ephrin-B2 stripes, this proportion was significantly increased to 47.4% for MYCBP2CRISPR cells, suggesting the loss of MYCBP2 function led to a decreased repulsion from ephrin-B2 stripes (Figure 3G and H; n=5 and 7 carpets respectively, p=0.0109). When cells were plated on Fc:Fc stripes, CTRLCRISPR and MYCBP2CRISPR cells exhibited no preference over cy3-conjugated Fc stripes (49.18% vs 51.88%, p=0.5386, images not shown). Native HeLa cells only respond to ephrin-B2 once they are made to express EphB2. Thus, our data suggest that MYCBP2 is required for EPHB2-mediated cellular responses in HeLa cells.

Loss of MYCBP2 decreases cellular levels of EPHB2 protein

The association of EPHB2 with MYCBP2 and its substrate recognition protein FBXO45 suggests that the MYCBP2 ubiquitin ligase complex could target EPHB2 for degradation, a mechanism frequently deployed to terminate transmembrane receptor signalling (Foot et al., 2017). However, the results of our cellular assays contradicted this model, and rather suggested that loss of MYCBP2 function decreased EPHB2 signalling. To further evaluate these two scenarios, we first compared EPHB2 protein levels in HeLa MYCBP2CRISPR cells and CTRLCRISPR cells by using tetracycline to induce the EPHB2 overexpression. We found that MYCBP2 loss reduced EPHB2 protein levels (Figure 4A). To further confirm this, instead of inducing EPHB2 overexpression with tetracycline, we transfected EPHB2-FLAG plasmid into both CTRLCRISPR and MYCBP2CRISPR cells and examined EPHB2-FLAG levels after two days. As shown in Figure 4B and C, levels of EPHB2-FLAG were significantly lowered by 26.1% in HeLa MYCBP2CRISPR cells compared to CTRLCRISPR cells (p=0.0046). We further investigated whether MYCBP2 affects EPHB2 protein turnover when cycloheximide is added to prevent new protein synthesis. EPHB2-FLAG expression was induced by tetracycline for 12 hr followed by protein synthesis inhibition with cycloheximide. We found that EPHB2 half-life was reduced in HeLa cells lacking MYCBP2 compared to control (Figure 4D and E; 8 hr treatment, p=0.0474).

Figure 4. MYCBP2 loss-of-function increases EPHB2 protein turnover in HeLa cells.

Figure 4.

(A) Induced EPHB2-FLAG expression is reduced in MYCBP2CRISPR HeLa cells. (B) Western blotting for transfected EPHB2-FLAG in CTRLCRISPR and MYCBP2CRISPR cells. (C) Quantification of transfected EPHB2-FLAG levels (p=0.0046, one-sample t-test). (D) Representative western blot of EPHB2-FLAG in CTRLCRISPR and MYCBP2CRISPR cells treated with DMSO or cycloheximide for 4 hr and 8 hr. (E) Quantification of EPHB2-FLAG turnover with cycloheximide (CTRLCRISPR vs. MYCBP2CRISPR at 8 hr eB2-Fc stimulation, p=0.0474, two-way ANOVA followed by Tukey’s multiple comparison test). (F) Western blot showing EPHB2-FLAG degradation when cells are challenged with ephrin-B2 (1 µg/ml) for different periods of time. (G) Quantification of ephrin-B2-evoked EPHB2 degradation (ns, not significant; two-way ANOVA followed by Tukey’s multiple comparison test). Although not significant, there is an apparent trend towards lower EPHB2 levels in MYCBP2CRISPR cells, which could become significant with additional replicates. (H) Western blot of EPHB2 ubiquitination in CTRLCRISPR and MYCBP2CRISPR cells. (I) Quantification of ubiquitinated EPHB2. CTRLCRISPR cells stimulated with Fc vs. eB2-Fc, p=0.1349 (One sample t-test); MYCBP2CRISPR cells stimulated with Fc vs. EB2-Fc, p=0.0195 (Unpaired two-tailed t-test). (J) After tetracycline induction of EPHB2-FLAG expression for 16 hr, CTRLCRISPR and MYCBP2CRISPR HeLa cells were treated with DMSO (1:500) or inhibitors of the proteasome (MG132 50 µM) or lysosome (BafA1 0.2 µM; CoQ 50 µM) for 6 hr, and EPHB2 levels were analysed by western blotting. (K) Quantification of EPHB2 levels following treatment with proteasome or lysosome inhibitors. Statistical significance for the comparison between CTRLCRISPR cells treated with DMSO or inhibitors was determined by one-sample t-test (MG132, p=0.0598; BafA1, p=0.0200; CoQ, p=0.3632), whereas statistical significance for the comparison between MYCBP2CRISPR cells treated with DMSO and individual inhibitors was determined by two-tailed paired t-test (MG132, p=0.8893; BafA1, p=0.0361; CoQ, p=0.0835). (L) GFP-EPHB1 and HA-EPHB3 transfected into CTRLCRISPR and MYCBP2CRISPR HeLa cells and detected by western blot. (M) Quantification of GFP-EPHB1 and HA-EPHB3 levels (EPHB1, p=0.0588; EPHB3, p=0.4253; one-sample t-test). (N) FLAG-EPHA3 transfected into CTRLCRISPR and MYCBP2CRISPR HeLa cells and detected by WB. (O) Quantification of FLAG-EPHA3 (p=0.5369, one-sample t-test). Error bars represent SD.

Figure 4—source data 1. Related to Figure 4A, B and D.
Figure 4—source data 2. Related to Figure 4F.
Figure 4—source data 3. Related to Figure 4H and J.
Figure 4—source data 4. Related to Figure 4L.

Ephrin ligand treatment eventually results in Eph receptor degradation, a process associated with signalling termination. We therefore asked whether ligand-mediated EPHB2 receptor degradation depends on MYCBP2. We induced EPHB2 expression in CTRLCRISPR and MYCBP2CRISPR cells, and exposed them to ephrin-B2 for a different length of time. Western blotting revealed that 4–8 hr stimulation with ephrin-B2 reduced EPHB2 levels in CTRLCRISPR cells, but this effect was more drastic in MYCBP2CRISPR cells (Figure 4F and G). Taken together, our results are not consistent with MYCBP2 ubiquitinating EPHB2 and causing its degradation. Unexpectedly, our data indicate that MYCBP2 stabilizes EPHB2 in HeLa cells under both naive and ligand-challenged conditions.

Loss of MYCBP2 enhances ligand-induced EPHB2 receptor ubiquitination

Ubiquitination of receptor tyrosine kinases, including Eph receptors, can herald their degradation via the proteasome and thus termination of signalling (Haglund and Dikic, 2012; Sabet et al., 2015). This model is not supported by our results, which suggest that MYCBP2 is required for EPHB2 protein maintenance. Nonetheless, we investigated whether EPHB2 receptor ubiquitination is altered in HeLa cells depleted of MYCBP2. HeLa CTRLCRISPR and MYCBP2CRISPR cells were transfected with HA-tagged ubiquitin, EPHB2 expression was induced with tetracycline, and cells were treated with ephrin-B2 for 30 min. We observed that EPHB2 receptor ubiquitination was not significantly increased in CTRLCRISPR cells after this short-term ligand treatment (Figure 4H, I CTRLCRISPR, P=0.1349). In contrast, EPHB2 ubiquitination was significantly increased in MYCBP2CRISPR cells (Figure 4H, I MYCBP2CRISPR, P=0.0195). This effect argues against the concept that EPHB2 is a MYCBP2 ubiquitination substrate, and suggests that in the absence of MYCBP2 degradation of the EPHB2 receptor is enhanced due to increased ubiquitination.

A potential involvement of the lysosomal pathway in EPHB2 degradation caused by the loss of MYCBP2

EPHB2 can be degraded by either a proteasomal or lysosomal pathway depending on the cellular context (Cissé et al., 2011; Litterst et al., 2007; Fasen et al., 2008). Thus, we wanted to shed light on how EPHB2 is degraded and understand why EPHB2 degradation is enhanced by MYCBP2 loss of function. To do so, we induced EPHB2 expression in CTRLCRISPR and MYCBP2CRISPR cells and applied the S26 proteasome inhibitor MG132, or the lysosomal inhibitors BafilomycinA1 or Chloroquine. We found that MG132 did not have significant effects on EPHB2 levels in both cell types (Figure 4J and K). However, we found that BafilomycinaA1 (BafA1) significantly increased EPHB2 protein levels in both HeLa CTRLCRISPR cells and MYCBP2CRISPR cells by 19% and 40%, respectively (Figure 4J and K). We also observed a trend towards increased EPHB2 levels with Chloroquine (CoQ) treatment in CTRLCRISPR (14%) and MYCBP2CRISPR (35%), further suggesting a role for lysosomal degradation (Figure 4J and K). Although the difference in percentage increase between CTRLCRISPR cells and MYCBP2CRISPR cells is not significant, this trend raises the possibility that the loss of MYCBP2 promotes EPHB2 receptor degradation through the lysosomal pathway.

Regulation of Eph receptor levels by MYCBP2

The above experiments raise the question of whether MYCBP2 is a general regulator of Eph receptor stability. Since EPHA3 does not form a complex with MYCBP2, and EphA receptor levels are controlled by the proteasomal pathway (Sharfe et al., 2003; Walker-Daniels et al., 2002), we hypothesized that MYCBP2 might regulate the levels of the entire EphB receptor class. To test this, we co-transfected plasmids encoding GFP-tagged EPHB1 and HA-tagged EPHB3 into HeLa CTRLCRISPR and MYCBP2CRISPR cells. Compared to CTRLCRISPR cells, EPHB1 and EPHB3 levels were reduced by 57.1% and 12.5% respectively in MYCBP2CRISPR cells (Figure 4L and M, EPHB1, p=0.0588; EPHB3, p=0.4253). Although not statistically significant, there is an apparent trend towards a decrease in EPHB1 levels. On the other hand, FLAG-EPHA3 levels were similar in CTRLCRISPR and MYCBP2CRISPR cells (Figure 4N and O, p=0.5369). Taken together, these data suggest that MYCBP2 may stabilize other EphB subclass receptors.

Loss of MYCBP2 attenuates the magnitude of EPHB2 cellular signalling

EPHB2 receptor activation evokes signal transduction events such as tyrosine phosphorylation of EPHB2, activation of EPHB2 tyrosine kinase function and phosphorylation of the ERK1/2 downstream effector (Poliakov et al., 2008). We therefore measured EPHB2 and ERK1/2 phosphorylation in CTRLCRISPR and MYCBP2CRISPR cells for up to 8 hours after ephrin-B2 application (Figure 5A). P-EPHB2 (pY20) and p-ERK1/2 signals were normalised to GAPDH and ERK1/2, respectively. In HeLa CTRLCRISPR cells, pTyr-EPHB2 response reached a plateau after 1–2 h treatment and remained up 8 hours post-stimulation (Figure 5A–C). On the contrary, ephrin-B2-evoked phosphorylation of EPHB2 was reduced in MYCBP2CRISPR cells with quantitative results showing a significant reduction by 8 hours of treatment (Figure 5A and C; 8 h P=0.0331). We were also able to detect significantly lower p-ERK1/2 levels in MYCBP2CRISPR cells relative to CTRLCRISPR cells, although activation of ERK1/2 by ephrin-B2 was variable (Figure 5D. 4 h, P=0.0494; 8 h, P=0.0078; n=6). We again noted significantly enhanced EPHB2 degradation in MYCBP2CRISPR cells (Figure 5E; 8 h, P=0.0437). This decrease was also observed when CTRLCRISPR and MYCBP2CRISPR cells were treated with ephrin-B1 (data not shown).

Figure 5. MYCBP2 depletion impairs EPHB2 phosphorylation and ERK1/2 activation in HeLa cells.

Figure 5.

(A) Representative western blot for pERK1/2 and pTyr-EPHB2 detected in CTRLCRISPR and MYCBP2CRISPR cells treated with ephrin-B2 (eB2-Fc) for different periods (n=6). Membranes were striped and reblotted with anti-ERK1/2, anti-EPHB2, anti-GAPDH and anti-MYCBP2 antibodies as controls. (B) Quantification of EPHB2 tyrosine phosphorylation in CTRLCRISPR cells evoked by ephrin-B2 treatment (15 min, P=0.1363; 30 min, P=0.2056; 1 h, P=0.0342; 2 h, P=0.0234; 4 h, P=0.0068; 8 h, P=0.0231; one-sample t-test). (C) Quantification of EPHB2 tyrosine phosphorylation in CTRLCRISPR and MYCBP2CRISPR HeLa cells (unstimulated, P=0.5589, one-sample t-test; stimulated for 15 min, P=0.7463; 30 min, P=0.5520; 1 h, P=0.1920; 2 h, P=0.2009; 4 h, P=0.1550; 8 h, P=0.0331; two-tailed unpaired t-test). (D) Quantification of pERK1/2 in CTRLCRISPR and MYCBP2CRISPR HeLa cells (0 min, P=0.0168, one-sample t-test; 15 min, P=0.6695; 30 min, P=0.6649; 1 h, P=0.1776; 2 h, P=0.1479; 4 h, P=0.0494; 8 h, P=0.0078; two-tailed unpaired t-test). (E) Quantification of EPHB2 in CTRLCRISPR and MYCBP2CRISPR HeLa (0 min, P=0.4604, one-sample t-test; 15 min, P=0.2222; 30 min, P=0.1376; 1 h, P=0.0651; 2 h, P=0.0736; 4 h, P=0.2451; 8 h, P=0.0437, two-tailed unpaired t-test). (F) Quantification of ephrin-B2-evoked EPHB2 tyrosine phosphorylation levels relative to total EPHB2 protein levels (0 min, P=0.7058, one-sample t-test; 15 min, P=0.2464; 30 min, P=0.7835; 1 h, P=0.9164; 2 h, P=0.7196; 4 h, P=0.8625; 8 h, P=0.5750, two-tailed unpaired t-test). (G) Quantification of ephrin-B2-evoked pERK1/2 relative to EPHB2 total protein levels 0 min, P=0.3308, one-sample t-test; 15 min, P=0.3856; 30 min, P=0.0624; 1 h, P=0.2683; 2 h, P=0.1284; 4 h, P=0.7998; 8 h, P=0.7790, two-tailed unpaired t-test. Error bars represent SD.

Figure 5—source data 1. Related to Figure 5A.

Next, we asked whether the decrease in ligand-evoked EPHB1/2 and ERK1/2 activation in MYCBP2CRISPR cells reflects a requirement for MYCBP2 in the EPHB2 signalling cascade per se, or whether it is explained by decreased EPHB2 protein levels caused by MYCBP2 loss. We thus normalised p-EPHB2 and p-ERK1/2 signal to the levels of EPHB2 protein at all time points, which revealed that kinetics and magnitude of EPHB2 and ERK1/2 phosphorylation are similar between CTRLCRISPR and MYCBP2CRISPR cells (Figure 5F and G). Although these data argue against a direct role of MYCBP2 in the early events of EPHB2 signalling, they nevertheless indicate that MYCBP2 loss results in marked attenuation of EPHB2 activation and its downstream pERK1/2 signalling in line with decreased cellular responses to ephrin-B2.

Exogenous Fbxo45 binding domain of MYCBP2 disrupts the EPHB2-MYCBP2 interaction

Previous studies showed that FBXO45 binds to the FBD1 domain of MYCBP2, and exogenous FBD1 overexpression can disrupt the FBXO45-MYCBP2 association (Sharma et al., 2014). We thus tested whether FBD1 overexpression can interfere with the formation of the EPHB2-MYCBP2 complex (Figure 6A). Indeed, the expression of GFP-FBD1 wild-type (WT) in HEK cells expressing EPHB2-FLAG and MYC-FBXO45 reduced binding between EPHB2 and MYCBP2 (Figure 6B). This effect was not observed with a GFP-FBD1 mutant (mut) fragment that harbours three point mutations that inhibit binding to FBXO45. Reduction of the EPHB2-MYCBP2 interaction was also observed in cells that were not overexpressing FBXO45 (Figure 6C). Thus, exogenous FBD1 can specifically disrupt the EPHB2-MYCBP2 association. This suggests that FBXO45 binding to MYCBP2 may facilitate for formation of the MYCBP2-EPHB2 complex.

Figure 6. Exogenous FBD1 fragment of MYCBP2 disrupts EPHB2-MYCBP2 binding and impairs EPHB2 function in HeLa cells.

Figure 6.

(A) Schematic illustrating competition of exogenous MYCBP2-FBD1 fragment that disrupts MYCBP2-FBXO45 binding and leads to MYCBP2 reduction in EPHB2 complexes. (B) Exogenous FBD1 WT overexpression leads to reduced EPHB2-MYCBP2 binding in HEK293 cells despite co-expression of FBXO45. (C) FBD1 overexpression also disrupts EPHB2-MYCBP2 binding in the absence of FBXO45 overexpression. (D) Representative images of ephrin-B2 stripe assays using HeLa cells expressing GFP-FBD1 mut or GFP-FBD1 WT. Scale bar is 50 μm. (E) Quantification of cells present on eB2 stripes (P=0.0107, two-tailed unpaired t-test). Error bars represent SD.

Figure 6—source data 1. Related to Figure 6B.
Figure 6—source data 2. Related to Figure 6C.

FBD1 expression impairs EPHB2-mediated neuronal responses

To determine whether the EPHB2-MYCBP2 interaction is required for EPHB2 function, we disrupted binding via FBD1 ectopic expression in cell lines or primary neurons, and studied cellular responses to ephrin-B treatment. We introduced GFP-FBD1 mut or GFP-FBD1 WT into HeLa cells with inducible EPHB2 expression and cultured these cells on ephrin-B2 and Fc stripes. Following overnight culture, only 19.2% of cells expressing GFP-FBD1 mut resided on ephrin-B2 stripes. In contrast, 28.6% of cells expressing GFP-FBD1 WT were found on ephrin-B2 stripes indicating that FBD1 expression can dampen ephrin-B2:EPHB2 mediated cell repulsion (Figure 6D and E; P=0.0107). In contrast, cells expressing GFP-FBD1 mut or GFP-FBD1 WT displayed no preference for either one of Fc:Fc control stripes (49.63% vs 49.85%, P=0.9560, images not shown).

Since EPHB2 is expressed in the embryonic chicken spinal cord, we performed in ovo electroporation to introduce plasmids encoding GFP-FBD1 mut or GFP-FBD1 WT into the spinal cords of 2.5 day old embryonic chickens (Hamburger-Hamilton; (HH) Stage 15–17; Hambuger and Hamilton, 1951; Luria et al., 2008). Two days later spinal cords were dissected, divided into explants, cultured overnight on alternating stripes containing ephrin-B2 or Fc, and axonal GFP signal present over ephrin-B2 versus Fc stripes was determined. When explants expressed GFP-FBD1 mut (negative control), we observed that 26.5% of neurite GFP signal resided on ephrin-B2 stripes (Figure 7A and B). In contrast, we found a significant increase of 32.2% of neurite GFP signal expressing FBD1 WT on ephrin-B2 stripes (Figure 7A and B; p=0.0410). Thus, FBD1 expression impairs long-term repulsive responses to ephrinB2-EPHB2 signalling in spinal explants.

Figure 7. Exogenous FBD1 overexpression impairs EPH receptor functions in chick spinal cord explants and mouse hippocampal neurons.

Figure 7.

(A) Representative images of ephrin-B2 stripe assays with chick embryonic spinal cord explants overexpressing GFP-FBD1 mut (negative control) or GFP-FBD1 WT. Images with inverted GFP signal in dark pixels on Fc / eB2 (pink) stripes are placed beside the original images. Scale bar is 50 μm. (B) Quantification of GFP-positive neurites present on ephrin-B2 stripes (GFP-FBD1 mut vs. GFP-FBD1 WT, p=0.0410, two-tailed unpaired t-test). (C) Representative images of DIV2 mouse hippocampal neurons overexpressing GFP-FBD1 mut or GFP-FBD1 WT and challenged with Fc control or ephrin-B1 (eB1-Fc). Scale bar is 20 μm. (D) Quantification of growth cone collapse rate for hippocampal neurites. GFP-FBD1 mut: Fc vs. eB1-Fc, p=0.0006; GFP-FBD1 WT: Fc vs. eB1-Fc p0.1341. Two-way ANOVA followed by Sidak’s multiple comparisons test. Error bars represent SD.

To study short-term neuronal responses to ephrin-Bs, we turned to mouse hippocampal neurons and a growth cone collapse assay (Srivastava et al., 2013). Here, we electroporated GFP-FBD1 mut or GFP-FBD1 WT expression plasmids into dissociated hippocampal neurons and treated them with pre-clustered Fc or ephrin-B1 for one hour (Figure 7C). Neurons expressing GFP-FBD1 mut showed 22.7% growth cone collapse with Fc treatment, while ephrin-B1 treatment elicited significant increases to 35.9% collapse (Figure 7C and D, p=0.0006). In contrast, ephrin-B1 failed to significantly induce growth cone collapse in neurons expressing GFP-FBD1 WT: with only 31% growth cones being collapsed by ephrin-B1, compared to 25.3% being collapsed by Fc treatment (Figure 7D; p=0.1341). Together, these data indicate that impairing MYCBP2 function via FBD1 expression disrupts ephrin:B-EPHB2 signalling in axonal guidance.

Genetic interactions between the C. elegans Eph receptor and the MYCBP2 signalling network

Next, we sought to test genetic interactions between an ephrin receptor and the MYCBP2 signalling network using an in vivo animal model. To do so, we turned to C. elegans which has a sole Eph family receptor (EPHR) called VAB-1 and a single MYCBP2 ortholog called RPM-1 (Grill et al., 2016; George et al., 1998). Previous studies have shown that RPM-1/MYCBP2 is required to terminate axon outgrowth (Borgen et al., 2017; Schaefer et al., 2000). Furthermore, RPM-1 functions as a hub upstream of a number of signalling pathways (Grill et al., 2007; Grill et al., 2012; Tulgren et al., 2014; Baker et al., 2014). Genetic results from these studies demonstrated that mutants for RPM-1 binding proteins display genetic enhancer interactions with one another, but do not enhance defects when combined with rpm-1 mutants.

Given the biochemical interactions between MYCBP2, FBXO45 and EPHB2, we first evaluated genetic interactions between VAB-1/EPHR and two known RPM-1 binding proteins: (1) Rab GEF GLO-4, an orthologue of mammalian SERGEF that functions via the GLO-1/RAB32 small GTPase and is not involved in RPM-1 ubiquitin ligase activity (Grill et al., 2007). (2) FSN-1, an orthologue of FBXO45, that is the F-box substrate selector protein of the RPM-1 ubiquitin ligase complex (Figure 8A; Liao et al., 2004). RPM-1 genetic interactions were studied in the left and right PLM mechanosensory neurons of C. elegans, both of which extend an axon anteriorly until it terminates posterior to the cell body of the respective ALM mechanosensory neuron (Figure 8B). This process is visualized using a transgene, muIs32 (Pmec-7::GFP), that expresses GFP in the PLM and ALM mechanosensory neurons. As observed previously, a null allele of vab-1 that deletes exons 1–4 showed a significant increase in incidence of PLM axon extension beyond the ALM cell body (overextension) compared to wild-type controls (Figure 8B and C; Mohamed and Chin-Sang, 2006). To study the interaction between VAB-1/EPHR and GLO-4/SERGEF, we first evaluated glo-4 mutants, in which we observed two kinds of overextension defects: one where PLM axons extend past the ALM cell body in a straight line, and a more severe defect where PLM axons ‘hook’ ventrally (Figure 8B and C). The frequency of both types of axon termination defects were significantly enhanced in vab-1; glo-4 double mutants (Figure 8B and C). Overextension defects were significantly rescued by transgenic expression of VAB-1 in vab-1; glo-4 double mutants (Figure 8C). Similarly, we observed an enhanced frequency of both overextension and hook defects in vab-1; fsn-1 double mutants compared to either mutant alone (Figure 8D). Thus, VAB-1/EPHR interacts genetically with two proteins known to bind and function downstream of RPM-1/MYCBP2.

Figure 8. C. elegans VAB-1 ephrin receptor interacts genetically with known RPM-1/MYCBP2 binding proteins FSN-1/FBXO45 and GLO-4/SERGEF.

Figure 8.

(A) schematic showing the known RPM-1/MYCBP2 binding proteins GLO-4/SERGEF and FSN-1/FBXO45. GLO-4 functions independent of RPM-1 ubiquitin ligase. FSN-1 is the F-box protein that forms a ubiquitin ligase complex with RPM-1. Adapted from Grill et al., 2016. (B) Schematic representation of axon morphology and axon termination site for PLM mechanosensory neurons and representative images of failed axon termination defects observed in PLM neurons for indicated genotypes. Axon termination visualized using muIs32 (Pmec-7::GFP), which expresses GFP in the PLM and ALM mechanosensory neurons. Examples of moderate severity overextension defects (arrowhead) observed in vab-1/EphR and glo-4/SERGEF single mutants. Example of severe overextension (hook) defects (arrow) observed in vab-1; glo-4 double mutants. (C) Quantitation of axon termination defects for indicated genotypes using muIs32. vab-1; glo-4 double mutants show enhanced frequency of both hook (black) and overextension (grey) failed termination defects. Overextension defects are significantly reduced by transgenic expression of VAB-1. (D) Quantitation of axon termination defects for indicated genotypes. vab-1; fsn-1 double mutants show enhanced termination defects. (E) Quantitation of axon termination defects for indicated genotypes using muIs32. Axon termination defects are not suppressed in vab-1; rpm-1 double mutants compared to rpm-1 single mutants. (F) zdIs5 (Pmec-4::GFP) was used to quantify axon termination defects for indicated genotypes. vab-1; fsn-1 double mutants show enhanced frequency of overextension defects (grey). Frequency and severity of axon termination defects is not significantly different between vab-1; rpm-1 double mutants and rpm-1 single mutants. n is defined as a single count of 20–30 animals. Means are shown from 8 to 10 counts (20–30 animals per count) for each genotype, and error bars represent SEM. Significance determined using Student’s t-test with Bonferroni correction for multiple comparisons. ** p<0.01; *** p<0.001; n.s, not significant. Scale bar is 20 μm.

Next, we examined genetic interactions between vab-1 and an rpm-1 protein null allele (AlAbdi et al., 2023). We compared the incidence of PLM overextension in vab-1; rpm-1 double mutants to rpm-1 single mutants and did not observe a significant difference between them (Figure 8E). Because rpm-1 mutants displayed a high frequency of PLM hook defects when the PLM axon was visualized using the muIs32 transgene, we pivoted to address phenotypic saturation. To do so, we evaluated vab-1 genetic interactions using the zdIs5 (Pmec4::GFP) transgene to label PLM axons. This axonal reporter was used previously to demonstrate that the frequency of rpm-1 hook defects can be enhanced by mutations in genes that are not RPM-1/MYCBP2-binding proteins (Borgen et al., 2017). In contrast, the incidence of rpm-1 hook defects was not increased by mutations that impair RPM-1 binding proteins. Like prior findings, rpm-1 mutants on the zdIs5 background result in a lower frequency of hook defects than rpm-1 mutants on muIs32 (Figure 8F). Using the zdIs5 background, we found that vab-1; fsn-1 double mutants display a higher frequency of overextension defects when compared to either single mutant (Figure 8F). This outcome is similar to what we observed in the muls32 background (Figure 8D). Finally, when comparing the incidence of PLM hook defects in vab-1; rpm-1 double mutants to single mutants in the zdIs5 background, we did not observe any significant differences (Figure 8D).

Collectively, these results suggest two general conclusions: (1) The enhanced incidence of axon termination defects in vab-1; glo-4 and vab-1; fsn-1 double mutants compared to single mutants indicates that VAB-1/EPHR functions in parallel to known RPM-1 binding proteins to facilitate axon termination. (2) vab-1; rpm-1 double mutants do not display an increased frequency or severity of axon termination defects compared to rpm-1 single mutants on multiple transgenic backgrounds. Thus, because we are using null alleles, we conclude that VAB-1/EPHR functions in the same genetic pathway as RPM-1/MYCBP2.

Discussion

Our MS-based proteomics efforts to identify EPHB2 interacting proteins yielded MYCBP2, a signalling hub and ubiquitin ligase that is functionally linked to many of the cellular processes also mediated by EPHB2, including cellular growth, proliferation, synapse formation, and axon development. Our experiments argue against EPHB2 being a MYCBP2 ubiquitination substrate. Instead, we envisage a model where MYCBP2 controls EPHB2 signalling indirectly by preventing its lysosomal degradation and maintaining EPHB2 protein levels sufficiently high to mediate efficient cellular and axonal growth cone repulsion from ephrin-B ligands. The interaction between MYCBP2 and EPHB2 may allow the coupling EPHB2 to fundamental cellular processes that control growth, proliferation, and survival. Here, we discuss the molecular logic of MYCBP2 and EPHB2 association in the context of Eph receptor signalling, its potential implications for neural development and diversification of EphB2 signalling.

Functional significance of MYCBP2-EPHB2 complex formation

Our biochemical experiments validate the formation of a MYCBP2-EPHB2 complex and suggest that this association is decreased following ligand application. Because PHR proteins like MYCBP2 are large signalling hubs, MYCBP2 association with EPHB2 might sterically hinder the formation of EPHB2 multimers and clusters necessary for signalling. Thus, ligand-induced dissociation of the MYCBP2-EPHB2 complex could be a prelude to signalling. Our findings indicate that MYCBP2 association with EPHB2 is enhanced by FBXO45, a subunit of the MYCBP2/FBXO45 complex that mediates ubiquitination substrate binding. Previous work showed that MYCBP2 functions to polyubiquitinate specific protein substrates, targeting them for degradation and inhibition (Crawley et al., 2019; Han et al., 2012; Nakata et al., 2005; Desbois et al., 2022). We considered the possibility that the ubiquitin ligase activity of MYCBP2 is important for the termination of EPHB2 signalling, but several lines of evidence argue against this idea: (1) the application of ephrin-B2 ligand results in the dissociation of the MYCBP2-EPHB2 complex, (2) loss of MYCBP2 function results in decreased cellular levels of EPHB2 protein, and (3) impairing MYCBP2 increases ligand-stimulated EPHB2 ubiquitination. In addition, our quantification of EPHB2 signalling suggested that decreased EPHB2 and ERK phosphorylation seen in MYCBP2-deficient cells can be accounted for by the decrease in EPHB2 receptor levels. Thus, a more plausible model that is consistent with our results is that MYCBP2 association with EPHB2 protects EPHB2 from turnover by lysosome-mediated degradation and prevents EPHB2 ubiquitination by the action of unidentified ubiquitin ligases. Interestingly, studies in C. elegans have shown that RPM-1/MYCBP2 regulates lysosome biogenesis via the GLO-4/GLO-1 pathway (Grill et al., 2007). While this established a link between MYCBP2 signalling and the endo-lysosomal degradation system, our results now indicate that MYCBP2 can also influence turnover of EPHB2 via lysosomal degradation. Our C. elegans experiments reveal complex genetic interactions between VAB-1/EPHR and members of the RPM-1/MYCBP2 signalling network. These are consistent with VAB-1/EPHR and RPM-1/MYCBP2 acting in the same pathway, while suggesting that VAB-1/EPHR acts in a parallel genetic pathway with GLO-4, the RPM-1 binding protein that mediates effects on lysosome biogenesis. As a caveat, we note that because C. elegans contains only a single Eph receptor, our findings with do not necessarily pertain specifically to EPHB2.

The ‘protective’ effect of MYCBP2 vis-à-vis EPHB2 ubiquitination and lysosomal degradation might be secondary to effects on other aspects of EPHB2 signalling that we have not explored experimentally. For example, since MYCBP2 is a signalling hub with multiple substrates and binding proteins, it could bring EphB2 into close proximity to components of the MYCBP2 signalling network integrating cell-cell communication via ephrin:Eph signals with MYCBP2 intracellular signalling to influence fundamental cellular processes. One example of this is suggested by a recent study demonstrating a link between EPHB2 and mTOR-mediated cell growth signalling pathways (M Gagné et al., 2021). One potential mechanism could involve Ephrin binding-induced dissociation of the EPHB2-MYCBP2 interaction, allowing MYCBP2 ubiquitination of the TSC complex that regulates mTOR function (Han et al., 2012).

The formation of a MYCBP2-EPHB2 complex that includes other signalling receptors could also explain the curious result that the extracellular domain of EPHB2 is critical for MYCBP2 association. The finding would be consistent with the extracellular domain of EPHB2 interacting with the extracellular domains of other receptors, whose intracellular domains are linked more directly with MYCBP2 and FBXO45. An alternative explanation may be a non-classical extracellular MYCBP2-EPHB2 interaction similar to the one proposed for the extracellular domain of N-Cadherin and FBXO45 (Na et al., 2020).

MYCBP2 and EPHB2 functions in the developing nervous system

Our proteomic, biochemical, and genetic experiments indicate that MYCBP2 and EPHB2 function in the same pathway. This is also supported by the striking similarity of MYCBP2 and EPHB2 loss-of-function phenotypes in the mouse nervous system. In the context of developing neuronal connections, EphB2 and Mycbp2/Phr1 mouse mutants display similar axon guidance phenotypes such as abnormal limb nerve trajectories by motor axons, defective growth cone crossing of the midline at the level of the optic chiasm and decreased connectivity between the two cortical hemispheres through the corpus callosum (Lewcock et al., 2007; Luria et al., 2008; Williams et al., 2003; Henkemeyer et al., 1996; D’Souza et al., 2005). Both proteins also function in synaptic development and their loss of function leads to decreased numbers of synapses and altered synapse morphology (Wan et al., 2000; Bloom et al., 2007; Dalva et al., 2000; Zhen et al., 2000). Furthermore, outside the nervous system, both are involved in a variety of cancers with recent evidence linking them to esophageal adenocarcinoma and c-MYC-dependent control of cell proliferation (Venkitachalam et al., 2022; Han et al., 2012; Genander et al., 2009). Our proteomic, biochemical, and cellular experiments together with genetic interaction studies in C. elegans now provide a new framework in which to consider phenotypic and disease links between EPHB2 and MYCBP2.

Importantly, the biomedical relevance of our findings are heightened by a recent study that identified genetic variants in MYCBP2, which cause a neurodevelopmental disorder termed MYCBP2-related Developmental delay with Corpus callosum Defects (MDCD) (AlAbdi et al., 2023). MDCD features defective neuronal connectivity including a hypoplastic or absent corpus callosum, neurobehavioral deficits including intellectual disability and epilepsy, and abnormal craniofacial development. This constellation of comorbidities in MDCD closely resembles some of the phenotypes observed in mice with deficient EPHB2 signalling. Given our finding that MYCBP2 loss reduces EPHB2 levels and influences Eph receptor effects on axon development, the question of whether EPHB2 expression levels are normal in MYCBP2 patients remains pertinent.

In conclusion, our study has revealed numerous biochemical and genetic links between MYCBP2 and EPHB2. Our findings indicate that the MYCBP2/FBXO45 complex protects EPHB2 from degradation, and these are functionally integrated signalling players with an evolutionarily conserved role in axonal development. Future studies will be needed to address how the EPHB2-MYCBP2 interaction affects nervous system development in mammals in vivo and to identify further regulators of EPHB2 degradation. Additionally, another idea worthy of closer examination in the future is the possibility that MYCBP2 signalling could provide routes through which EPHB2-initiated signals access numerous fundamental cellular functions.

Materials and methods

Key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional information
Strain, strain background (Mus musculus) C57BL/6 J Jackson Labs Jax:000664
Cell line (Homo sapiens) HeLa ATCC #CCL2
Cell line (Homo sapiens) HEK 293T ATCC #CRL-3216
Cell line (Homo sapiens) T-REx-HeLa Invitrogen #R71407
Cell line (Homo sapiens) HeLa CTRL CRISPR This paper Materials and methods:
Cell culture
Cell line (Homo sapiens) HeLa MYCBP2 CRISPR This paper Materials and methods:
Cell culture
Antibody Anti-MYCBP2 (Rabbit polyclonal) Abcam RRID:AB_1925230 WB:(1:2000)
Antibody Anti-pERK1/2 (Rabbit polyclonal) Cell Signaling Technology RRID:AB_331646 WB:(1:1000)
Antibody Anti-ERK1/2 (Rabbit polyclonal) Cell Signaling Technology RRID:AB_330744 WB:(1:1000)
Antibody Anti-EPHB2 (Goat polyclonal) R&D Systems RRID:AB_355375 WB:(1:1000)
Antibody Anti-β-Actin (Mouse monoclonal) Sigma-Aldrich RRID:AB_476744 WB:(1:4000)
Antibody Anti-pTyr (Mouse monoclonal) Santa Cruz Biotechnology RRID:AB_628122 WB:(1:400)
Antibody Anti-GAPDH (Mouse monoclonal) Santa Cruz Biotechnology RRID:AB_627678 WB:(1:1000)
Antibody Anti-FLAG (Mouse monoclonal) Sigma-Aldrich RRID:AB_439702 WB:(1:2000)
Antibody Anti-HA (Mouse monoclonal) Cell Signaling Technology RRID:AB_1549585 WB:(1:1000)
Antibody Anti-MYC (Mouse monoclonal) Santa Cruz Biotechnology RRID:AB_627268 WB:(1:400)
Antibody anti-GFP (Rabbit polyclonal) Thermo Fisher Scientific RRID:AB_221569 WB:(1:1000)
Antibody Donkey anti- Goat HRP Jackson ImmunoResearch #705-035-003 WB:(1:5000)
Antibody Donkey anti-Mouse HRP Jackson ImmunoResearch #715-035-151 WB:(1:5000)
Antibody Donkey anti-Rabbit HRP Jackson ImmunoResearch #711-035-152 WB:(1:5000)
Antibody Goat anti-Fc IgG Sigma-Aldrich #I2136 for conjugation
Peptide, recombinant protein Fc Millipore #401104
Peptide, recombinant protein ephrinB1-Fc R&D Systems #473-EB
Peptide, recombinant protein ephrinB2-Fc R&D Systems #496-EB
Chemical compound, drug Penicillin/Streptomycin Wisent Bioproducts #450–200-EL for cell line culture
Chemical compound, drug Penicillin/Streptomycin Hyclone #SV30010 for neuron culture
Chemical compound, drug MG132 Sigma-Aldrich #474790 50 µM
Chemical compound, drug BafilomycinA1 Sigma-Aldrich #B1793 0.2 µM
Chemical compound, drug Chloroquine Tocris #4109 50 µM
Other Neurobasal Thermo Fisher Scientific #21103049 Materials and methods:
Dissociated mouse hippocampal neuron culture and electroporation
Other B-27 Thermo Fisher Scientific #17504044
Other HBSS Gibco #14185052
Other HEPES Gibco #15630080
Other SM1 supplement Stemcell #05711
Other GlutaMAX-I Gibco #35050
Other Protease inhibitor Roche #11836153001 Materials and methods:
Cell lysis, co-immunoprecipitation and western blotting
Other Phosphatase inhibitor Roche #04906837001
Other Anti-FLAG agarose beads Sigma-Aldrich #A2220
Other PVDF membrane Millipore #IPVH00010

Vertebrate animals

All animal experiments were carried out in accordance with the Canadian Council on Animal Care guidelines and approved by the IRCM Animal Care Committee (Protocol 2019–09 AK and 2021–12 AK). Fertilized chicken eggs (FERME GMS, Saint-Liboire, QC, Canada) were incubated at 38–39°C and staged according to Hamburger and Hamilton (HH) (Hambuger and Hamilton, 1951). C57BL/6 mice were used for hippocampal neuron collapse assay. Timed mating vaginal plug was designated as E0.5.

Cell culture

HeLa and HEK293T cells were maintained in DMEM (Thermo Fisher Scientific, #11965092) supplemented with 10% Fetal Bovine Serum (FBS; Wisent Bioproducts, #080–150) and 1% Penicillin/Streptomycin (Wisent Bioproducts, #450–200-EL) at 37 °C with 5% CO2. Tetracycline inducible HeLa EPHB2-FLAG cells were generated by transfecting Flp-In T-REx HeLa cells with EPHB2-BirA*-FLAG expression plasmid using Lipofectamine 3000 (Invitrogen, #L3000015) followed by hygromycin selection (200 µg/ml). Stable but not clonal CTRLCTRISPR or MYCBP2CRISPR HeLa EPHB2-FLAG cell lines were generated by infecting cells with packaged lentivirus, followed by puromycin selection (1 µg/ml). Lentivirus particles were packaged using MYCBP2 sgRNA CRISPR plasmid designed to target the MYCBP2 exon6 (pLentiCRISPR2-sgMYCBP2) and pLentiCRISPR empty vector was used as Ctrl CRISPR. EPHB2-FLAG overexpression was induced using 1 µg/ml tetracycline simultaneously with cell starvation in DMEM supplemented with 0.5%FBS, 1% penicillin/streptomycin for 12–20 hr. Prior to cell stimulation, Fc control (Millipore, #401104), ephrinB1-Fc (R&D, #473-EB) or ephrinB2-Fc (R&D, #496-EB) were pre-clustered using goat anti-human Fc IgG (Sigma, #I2136) in 4:1 ratio for 30 min.

Affinity purification - mass spectrometry

HeLa EPHB2-FLAG cells cultured in DMEM supplemented with 0.5% FBS and 1 µg/ml tetracycline in 15 cm cell culture plates for 20 hr, were treated with pre-clustered Fc control or ephrinB2-Fc for 15 min. After treatment, cells were washed twice with PBS and lysed using a lysis buffer (50 mM Tris, pH7.4; 150 mM NaCl; 1% NP-40) supplemented with protease (Roche, #11836153001) and phosphatase inhibitors (Roche, #04906837001). The lysates were collected in 1.5 ml Eppendorf tubes and centrifuged at 13,000 rpm for 15 min at 4 °C. Supernatants were transferred to new tubes with prewashed anti-FLAG agarose beads (Sigma, #A2220) and incubated on a rotator overnight at 4 °C. The following day, beads were washed four times using 50 mM Ammonium Bicarbonate. The on-bead proteins were diluted in 2 M Urea/50 mM ammonium bicarbonate and on-bead trypsin digestion was performed overnight at 37 °C. The samples were then reduced with 13 mM dithiothreitol at 37 °C and, after cooling for 10 min, alkylated with 23 mM iodoacetamide at room temperature for 20 min in the dark. The supernatants were acidified with trifluoroacetic acid and cleaned from residual detergents and reagents with MCX cartridges (Waters Oasis MCX 96-well Elution Plate) following the manufacturer’s instructions. After elution in 10% ammonium hydroxide /90% methanol (v/v), samples were dried with a Speed-vac, reconstituted under agitation for 15 min in 12 µL of 2%ACN-1%FA and loaded into a 75 μm i.d. ×150 mm Self-Pack C18 column installed in the Easy-nLC II system (Proxeon Biosystems). Peptides were eluted with a two-slope gradient at a flowrate of 250 nL/min. Solvent B first increased from 2 to 35% in 100 min and then from 35 to 80% B in 10 min. The HPLC system was coupled to Orbitrap Fusion mass spectrometer (Thermo Scientific) through a Nanospray Flex Ion Source. Nanospray and S-lens voltages were set to 1.3–1.7 kV and 60 V, respectively. Capillary temperature was set to 225 °C. Full scan MS survey spectra (m/z 360–1560) in profile mode were acquired in the Orbitrap with a resolution of 120,000 with a target value at 3e5. The 25 most intense peptide ions were fragmented in the HCD collision cell and analyzed in the linear ion trap with a target value at 2e4 and a normalised collision energy at 29 V. Target ions selected for fragmentation were dynamically excluded for 15 s after two MS2 events.

Mass spectrometry data analysis

The peak list files were generated with Proteome Discoverer (version 2.3) using the following parameters: minimum mass set to 500 Da, maximum mass set to 6000 Da, no grouping of MS/MS spectra, precursor charge set to auto, and minimum number of fragment ions set to 5. Protein database searching was performed with Mascot 2.6 (Matrix Science) against the UniProt Human protein database. The mass tolerances for precursor and fragment ions were set to 10 ppm and 0.6 Da, respectively. Trypsin was used as the enzyme allowing for up to 1 missed cleavage. Cysteine carbamidomethylation was specified as a fixed modification, and methionine oxidation as variable modification. Data interpretation was performed using Scaffold (version 4.8) and further statistical analysis was performed through ProHits integrated with SAINT (Significance Analysis of INTeractome) (Liu et al., 2010).

Cell lysis, co-immunoprecipitation and western blotting

Cells were washed with PBS, lysed with RIPA buffer (50 mM Tris, pH 7.4; 150 mM NaCl; 1% NP-40; 0.1% SDS) supplemented with protease and phosphatase inhibitors. For co-IP experiments, cells were lysed with co-IP buffer (50 mM Tris, pH 7.4; 150 mM NaCl; 0.1% NP-40) with protease and phosphatase inhibitors. Cell lysates were centrifuged at 13,000 rpm for 20 min at 4 °C, then the supernatants were collected, and total protein concentrations were quantified using BCA kit (Thermo Fisher Scientific, #23225). For FLAG co-IP, 500–1000 µg of total protein was incubated with 20–40 µl of prewashed anti-FLAG agarose beads (Sigma, #A2220) for 3 hr at 4 °C. After incubation, the beads were centrifuged at 2600 rpm for 1 min at 4℃ and washed three times with the co-IP buffer. The beads were resuspended in 2xSDS-PAGE loading buffer (5 x loading buffer: Tris, 150 mM, pH 6.8; SDS, 10%; Glyercol, 30%; b-Mercaptoethanol, 5%; Bromophenol Blue, 0.02%). For western blotting, proteins were separated on 6–10% SDS-PAGE gels and transferred to methanol pre-activated PVDF membranes (Millipore, #IPVH00010). For MYCBP2 blots, gels were wet transferred overnight at 4 °C using 33 V. Membranes were incubated in blocking buffer (TBST: 20 mM Tris, pH 7.6; 150 mM NaCl; 0.1% Tween 20; 5% skim milk) for 1 hr at room temperature, followed by primary antibody incubation (1–2 hr at room temperature or overnight at 4 °C) and corresponding secondary antibody incubation (1 hr at room temperature). Primary antibodies were: rabbit polyclonal anti-MYCBP2 (Abcam, #ab86078; RRID:AB_1925230), rabbit anti-pERK1/2 (Thr202/Tyr204; Cell Signaling Technology, #9101; RRID:AB_331646), rabbit anti-ERK1/2 (Cell Signaling Technology, #9102; RRID:AB_330744), goat polyclonal anti-EPHB2 (R&D Systems, #AF467; RRID:AB_355375), mouse monoclonal anti-Actin (Sigma-Aldrich, #A5441; RRID:AB_476744), mouse monoclonal anti-pTyr (PY20; Santa Cruz Biotechnology, #sc-508; RRID:AB_628122), mouse monoclonal anti-GAPDH (Santa Cruz Biotechnology, #sc-47724; RRID:AB_627678), mouse monoclonal anti-FLAG-HRP (Sigma-Aldrich, #A8592; RRID:AB_439702), rabbit monoclonal anti-HA (Cell Signaling Technology, #3724; RRID:AB_1549585), mouse monoclonal anti-MYC (Santa Cruz Biotechnology, #sc-40; RRID:AB_627268), rabbit polyclonal anti-GFP (Thermo Fisher Scientific, #A-11122; RRID:AB_221569). Secondary antibodies were: Donkey anti-Goat HRP (Jackson, 705-035-003), Donkey anti-Mouse HRP (Jackson, 715-035-151), Donkey anti-Rabbit HRP (Jackson, 711-035-152). After three washes with TBST, membranes were incubated with ECL reagent (Cytiva, RPN2106) for 1 min and chemiluminescence signal was acquired using film or Bio-Rad ChemiDoc Imaging machine. Band intensity was quantified using ImageJ or Bio-Rad Image Lab software.

HeLa cell collapse assay

HeLa-EPHB2 CTRLCRISPR and MYCBP2CRISPR cells were seeded on glass coverslips (Electron Microscopy Sciences, #7223101) in 24-well plates at a density of 20,000 cells/well. After 24 hr, cell media was changed for DMEM supplemented with 0.5% FBS, 1% P/S and 1 µg/ml tetracycline to starve the cells and induce EPHB2 expression for 16–20 hr. Cells were then stimulated with 1.5 µg/ml of pre-clustered Fc control or ephrin-B2-Fc for 15 min. Cells were fixed with 3.2% paraformaldehyde (Lewcock et al.), 6% sucrose in PBS for 12–15 min. Nuclei were stained with DAPI and F-actin with Phalloidin Alexa Fluor 568 conjugate (Thermo Fisher, #A12380). Images were acquired using Zeiss LSM710 confocal microscope and 20 x objective. Fully rounded cells are scored as collapsed cells.

For time lapse imaging experiments, CTRLCRISPR or MYCBP2CRISPR cells were plated on Poly-D-Lysine coated glass bottom 35 mm dishes (MATTEK, #P35GC-1.5–10 C) at a density of 300,000 cells/dish. The next day, cells were transfected with 1.5 µg of EPHB2-GFP plasmid for 4–5 hr, using lipofectamine 3000 in opti-MEM (ThermoFisher, #31985070), and then media was changed for DMEM supplemented with 0.5% FBS. The following day, the images were acquired under Zeiss Spinning Disk Microscope using a 20 x objective. During the imaging, the cells were maintained at 37 °C with 5% CO2. Pre-clustered ephrinB2-Fc was added to a final concentration of 2 µg/mL directly into the dishes at the beginning of each experiment. The images were acquired every minute for 1 hr.

HeLa cell stripe assay

Alternative ephrin-B2-Fc or Fc stripes were prepared using silicon matrices with a micro-well system (Poliak et al., 2015). HeLa EPHB2 CTRLCRISPR and MYCBP2CRISPR cells, or HeLa EPHB2 cells transiently transfected with GFP-FBD1 wild-type or GFP-FBD1 mutant (GRR/AAA: G2404A, R2406A, R2408A), were cultured with tetracycline for 20 hr, trypsinized and plated on stripes (~10,000 cells per carpet); see Desbois et al., 2018 for specific sequences. The next day, cells were fixed with paraformaldehyde (3.2% PFA, 6% sucrose in PBS), and stained with DAPI and Phalloidin iFluor 488 (Abcam, #ab176753); or DAPI, Rabbit anti-GFP (Thermo Fisher Scientific, # A-11122; RRID:AB_221569) and Phalloidin iFluor 647 (Abcam, #ab176759). Images were acquired using Zeiss LSM710 confocal microscope and 20 x objective (three vision fields for each carpet). A cell was considered to be on an ephrin-B2 stripe when more than 50% of its nucleus was located on that stripe.

Ubiquitination assay

HeLa EPHB2 CTRLCRISPR and MYCBP2CRISPR cells were seeded in six-well plates at a density of 0.5 million cells per well. Next day, cells were transfected with 1.2 µg HA-Ubiquitin (gift of Gu Hua) using lipofectamine 3000 (2µl/well) for 4–5 hr in opti-MEM (ThermoFisher, #31985070), then media was changed to DMEM with 10%FBS. The following day, EPHB2 expression was induced using 1 µg/ml tetracycline in DMEM with 0.5% FBS for 12 hr followed by 2 µg/ml Fc or eB2-Fc treatment for 30 min. After IP using anti-FLAG beads, precipitates were eluted with 2xSDS loading buffer, resolved using 8% SDS gel and transferred onto PVDF membranes. Membranes were blocked in 5% milk following an incubation with anti-HA antibody (Cell Signaling Technology, #3724) to detect EPHB2 ubiquitination levels. The membrane was then stripped using mild stripping buffer (1 L: 15 g glycine, 1 g SDS, 10 mL Tween 20, pH 2.2) and probed with anti-FLAG antibody to reveal EPHB2 levels.

Lysosome and proteasome inhibition

HeLa EPHB2 CTRLCRISPR and MYCBP2CRISPR cells were seed in 6-well plates at a density of 0.5 million cells per well. Next day, EPHB2 overexpression was induced using 1 µg/ml tetracycline in DMEM with 10% FBS for 16 hr, followed by 26 S proteasome inhibitor (MG132, 50 µM, Sigma, #474790) or lysosome inhibitor treatment (BafilomycinA1, 0.2 µM, Sigma, #B1793; Chloroquine, 50 µM, Tocris, #4109) for 6 hr.

Chick in ovo electroporation

Fertilized eggs (FERME GMS, Saint-Liboire, QC) were incubated in an incubator (Lyon Technologies, model PRFWD) at 39 °C with a humidity level of around 40%–60% according to standard protocols. At HH stage.15–17, chick embryo spinal neural tubes were electroporated with expression constructs (TSS20 Ovodyne electroporator at 30 V, 5 pulses, 50ms wide, 1000ms interval). Following electroporation, eggs were sealed with double layer of parafilm (Pechiney Plastic Packaging Company) and incubated till HH stage 24–26.

Chick spinal explants stripe assay

Alternative eprhinB2-Fc/Fc stripes were prepared using silicon matrices with a micro-well system and pre-coated with laminin (Poliak et al., 2015). At HH stage 24–26, chick embryos were harvested, and the lumbar part neural tubes were dissected with tungsten needles (World Precision Instruments) in MN medium (20 ml motor neuron medium: 19.2 ml Neurobasal medium, 400 µl B27 supplement, 200 µl 50 mM L-glutamic acid, 200 µl 100xP/S antibiotics,73mg L-glutamine). The lumbar neural tube was then cut into around 20 explants which were plated on stripes (a 1cmx1cm square covers the whole stripe area). After overnight incubation, the explants were fixed with 4% PFA for 12 min at 37 °C, washed once with PBS, and incubated with blocking buffer, primary antibodies, and secondary antibodies. After three PBS washes, the samples were mounted and neurites extending from explants were imaged using LSM710. The fraction of GFP signal on ephrin-B2 stripes was calculated by measuring the total length of GFP-expressing neurites found on ephrin-B2 stripes divided by the total length of GFP-expressing neurites found on either stripe. The number of explants with significant outgrowth varied between one and five per stripe.

Dissociated mouse hippocampal neuron culture and electroporation

Primary hippocampal neurons were cultured from wild-type C57BL/6 mice at embryonic day 16–18 (E16-18). The hippocampi were dissected out and collected in 4.5 ml dissection buffer (calcium- and magnesium-free Hank’s BSS: 500 ml distilled water (Gibco, #15230162), 56.8 ml 10xHBSS (Gibco, #14185052), 5.68 ml 1 M HEPES (Gibco, #15630080), 2.84 ml HyClone (Thermo Scientific, #SV30010)). Hippocampi were added with 0.5 ml 2.5%Tyrpsin and incubated at 37 °C for 13–15 min. After five times of thorough wash with dissection buffer, hippocampal neurons were dissociated in 0.8 ml DMEM (Gibco, #11965118) with 10% FBS (Wisent Bioproducts, 080–150) by pipetting 10 times up and down. Then cell numbers were counted and desired number of neurons were directed for electroporation. After spin down at 2000 rpm for 2 min, dissociated hippocampal neurons (1x106/condition) were resuspended with 100 µl homemade nucleofection solution, mixed with 5 µg of DNA, and transferred into the aluminum cuvettes (AMAXA/Lonza). Electroporation was achieved by Nucleofector I (AMAXA/Lonza) using program O-05 (Mouse CNS neurons). 1 ml Plating Medium (PM; 500 ml MEM (Sigma, #M4655), 17.5 ml 20% Glucose (Sigma, #G8270), 5.8 ml 100 mM pyruvate (Sigma, #P2256), 58 ml heat-inactivated horse serum (Thermo Scientific, #26050088)) was added to the cuvettes immediately, and desired number of neurons were plated on 1 mg/ml Poly-L-Lysine (Sigma, #P2636) coated coverslips in 12-well plate. At 1 day in vitro (DIV1), medium was replaced with Neuron growth and maintenance medium (NBG; 500 ml Neurobasal medium (Gibco, #21103049), 10 ml SM1 neuronal supplement (Stemcell, #05711), and 1.25 ml GlutaMAX-I (Gibco, #35050)).

Hippocampal neuron growth cone collapse assay

Electroporated hippocampal neurons were cultured on glass coverslips (18 mm, 100 thousand neurons/well in a 12-well plate). At DIV2, the neurons were treated with pre-clustered ephrinB1-Fc or Fc control in NBG medium at a final concentration of 2 µg/ml for 60 min at 37 °C. After treatment, neurons were fixed with paraformaldehyde (3.2% PFA,6% sucrose in PBS) for 12 min, followed by two PBS washes, and blocked with Blocking Buffer (PBS, 0.15% TritonX-100, 2% FBS) for 60 min at room temperature. Neurons were then incubated with rabbit anti-GFP antibody (1:5000, Thermo Fisher Scientific, #A11122; RRID:AB_221569) in Blocking Buffer for 90 min at room temperature. Followed by three PBS washes, neurons were incubated with DAPI, donkey anti-rabbit IgG Alexa Fluor 488 conjugate (1:1000, Jacksonimmuno, #711545152) and Phalloidin Alexa Fluor 568 conjugate (1:300, Invitrogen, #A12380) in Blocking Buffer for 60 min. Neurons on coverslips were then washed and mounted on microscope slides (Fisherbrand, #1255015). Collapsed growth cones were scored using followed criteria:

Collapsed hippocampal neuron growth cone quantification

Neuron selection: only neurons with moderate GFP expression and only neurons with more than three neurites were scored (neurons with strong GFP expression were excluded). Neurite selection: neurites shorter than the diameter of the neuron cell body were excluded; neurites intermingling with others were excluded. Collapsed growth cone: growth cones with a fan shape were scored as full, growth cones with a width smaller than that of the neurite were scored as collapsed, and growth cones’ size in between were scored as ‘hard to tell’. The collapse rate was calculated using collapse growth cone numbers divided by the total growth cone numbers.

Microscopy and imaging

HeLa cell collapse assay images were acquired using Leica DM6 or Zeiss LSM710 confocal microscopy. Stripe assay and growth cone collapse assay images were acquired with a Zeiss LSM710 or LSM700 confocal microscope.

Quantification and statistical analysis

All cell counts, collapsed/uncollapsed visualization and explant neurite length measurements were performed with ImageJ 2.9.0 (Schindelin et al., 2012). All numbers are illustrated in figure legends. In western blotting, each n represents one independent experiment; in neuron growth cone collapse assay, each n represents one independent experiment with neurons pooled from multiple embryos. All data statistical analyses were performed using GraphPad Prism 9.1.1. Test methods and p values were described in figure legends, with p value 0.05 as a significance threshold.

C. elegans genetics and strains

C. elegans N2 isolate was used for all experiments. Animals were maintained using standard procedures. The following mutant alleles were used: vab-1(dx31) II, fsn-1(gk429) III, rpm-1(ju44) V, glo-4(ok623) V. All mutant alleles are likely genetic or protein nulls. The integrated transgenes used to evaluate axon termination were muIs32 [Pmec-7GFP] II and zdIs5 [Pmec-4GFP] I. For genetic analysis the animals were grown at 23 °C.

Transgenic extrachromosomal arrays were generated using standard microinjection procedures for C. elegans. vab-1 minigene (pCZ47) was injected at either 25 ng/µL or 50 ng/µL, and co-injection markers used for transgene selection were either neomycin resistance (pBG-264) or Pttx-3::RFP (pBG-41). pBluescript (pBG-49) was used to reach a final concentration of 100 ng/µl in all injection mixes. pCZ47 was a gift from Andrew Chisholm (Addgene plasmid # 128414; RRID:Addgene_128414).

C. elegans axon termination analysis and imaging

Axon termination defects were defined as PLM axons that extended beyond the normal termination point adjacent to the ALM cell body. Two different failed termination phenotypes were scored: axon overextension (moderate phenotype) where the PLM axon grew beyond ALM cell body, axons that overextend and form a ventral hook (severe phenotype). To quantify axon termination defects, 20–30 young adult animals were anesthetized (10 μM levamisole in M9 buffer) on a 2% agar pad on glass slides and visualized with a Leica DM5000 B (CTR5000) epifluorescent microscope (40 x oil-immersion objective). For image acquisition, young adult animals were mounted on a 3% agarose pad and a Zeiss LSM 710 (40x oil-immersion objective) was used to generate z stacks.

For statistical analysis of axon termination defects, comparisons were done using a Student’s t-test with Bonferroni correction for multiple comparisons on GraphPad Prism software. Error bars represent standard error of the mean (SEM). Significance was defined as p<0.05 after Bonferroni correction. Bar graphs represent averages from 5 to 10 counts (20–30 animals/count) obtained from five or more independent experiments for each genotype. For transgenic rescue experiments, data shown in Figure 8B was obtained from two, independently derived transgenic extrachromosomal arrays.

Acknowledgements

We thank Dominic Fillion for assistance with microscopy, Denis Flaubert and the IRCM Proteomics Core for proteomics analysis, Gu Hua for HA-Ubiquitin plasmid, Sylvie Lahaie, Louis-Philippe Croteau and Farin B Bourojeni for discussions, and Meirong Liang for technical support. This work was supported by project grants from the Canadian Institutes of Health Research (PJT-162225, MOP-77556, PJT-153053, and PJT-159839) to AK and a grant from the National Institutes of Health (R01 NS072129) to BG. CC received IRCM Jacques-Gauthier Scholarship. SLB is a Fonds de recherche du Québec – Santé (FRQS) scholar. SSP is funded by IRCM Jean-Coutu Scholarship.

Funding Statement

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

Contributor Information

Artur Kania, Email: artur.kania@ircm.qc.ca.

Oren Schuldiner, Weizmann Institute of Science, Israel.

Jonathan A Cooper, Fred Hutchinson Cancer Research Center, United States.

Funding Information

This paper was supported by the following grants:

  • Canadian Institutes of Health Research PJT-162225 to Artur Kania.

  • National Institutes of Health R01 NS072129 to Brock Grill.

  • Canadian Institutes of Health Research PJT-153053 to Artur Kania.

  • Canadian Institutes of Health Research PJT-159839 to Artur Kania.

  • Canadian Institutes of Health Research MOP-77556 to Artur Kania.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Data curation, Investigation, Methodology, Visualization, Writing – original draft, Writing – review and editing.

Conceptualization, Data curation, Investigation, Methodology, Supervision, Visualization, Writing – original draft, Writing – review and editing.

Conceptualization, Data curation, Investigation, Methodology, Visualization, Writing – review and editing.

Conceptualization, Investigation, Writing – review and editing, Writing – original draft.

Conceptualization, Investigation, Writing – review and editing, Writing – original draft.

Conceptualization, Data curation, Investigation, Writing – review and editing, Writing – original draft.

Conceptualization, Data curation, Investigation, Methodology, Resources, Supervision, Visualization, Writing – original draft, Writing – review and editing.

Conceptualization, Supervision, Funding acquisition, Visualization, Writing – original draft.

Conceptualization, Supervision, Funding acquisition, Visualization, Project administration, Writing – original draft.

Ethics

All vertebrate animal experiments were carried out in accordance with the Canadian Council on Animal Care guidelines and approved by the IRCM Animal Care Committee (Protocol 2019-09 AK and 2021-12 AK).

Additional files

MDAR checklist

Data availability

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository (Perez-Riverol et al., 2019) with the dataset identifier PXD041786 and https://doi.org/10.6019/PXD041786.

The following dataset was generated:

Chang C, Banerjee SL. 2023. Ubiquitin ligase and signalling hub MYCBP2 is required for efficient EPHB2 tyrosine kinase receptor function. ProteomeXchange.

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eLife assessment

Oren Schuldiner 1

This valuable study identifies an Ephrin type-B Receptor 2 (EPHB2) interactor, MYCBP2, as a potential regulator of EPHB2 stability and function. In contrast to expectations, based on MYCBP2 function in the ubiquitin pathway, loss of function of MYCBP2 resulted in less EPHB2 receptor and defective EPHB2 function. The paper is supported by a largely convincing set of biochemical, cell culture and in vivo experiments.

Reviewer #1 (Public Review):

Anonymous

The Eph receptor tyrosine kinase family plays a critical function in multiple physiological and pathophysiological processes. Hence, understating the regulation of these receptors is a highly important question. Through extensive experiments in cell lines and cultured neurons Chang et.al show that the signaling hub protein, MYCBP2 positively regulates the overall stability of a specific member of the family, EPHB2, and by that the cellular response to ephrinBs.

Overall, this work sheds light on the divergent in the regulatory mechanisms of the Eph receptors family. Although the physiological importance of this new regularly mechanism in mammals awaits to be discovered, the authors provide genetic evidence using C. elegans that it is evolutionarily conserved.

Reviewer #2 (Public Review):

Anonymous

Members of the EphB family of tyrosine kinase receptors are involved in a multitude of diverse cellular functions, ranging from the control of axon growth to angiogenesis and synaptic plasticity. In order to provide these diverse functions, it is expected that these receptors interact in a cell-type specific manner with a diverse variety of downstream signalling molecules.

The authors have used proteomics approaches to characterise some of these molecules in further detail. This molecule, myc-binding protein 2 (MYCBP2) is also known as highwire, has been identified in the context of establishment of neural connectivity. Another molecule coming up on this screen was identified as FBXO45.

The authors use classical methods of co-IP to show a kinase-independent binding of MYCBP2 to EphB2. They further showed that FBXO45 within a ternary complex increased the stability of the EphB2/MYCBP2 complex.

To define the interacting domains, they used clearly designed swapping experiments to show that the extracellular and transmembrane domains are necessary and sufficient for the formation of the ternary complex.

Using a cellular contraction assay, the authors showed the necessity of MYCBP2 in mediating the cytoskeletal response of EphB2 forward signalling. Furthermore, they used the technically challenging stripe assay of alternating lanes of ephrinB-Fc and Fc to show that also in this migration-based essay MYCBP2 is required for EphB mediated differential migration pattern.

MYCBP2 in addition is necessary to stabilize EphB2, that is in the absence of MYCBP2, EphB2 is degraded in the lysosomal pathway.

Interestingly, the third protein in this complex, Fbxo45, was further characterized by overexpression of the domain of MYCBP2, known to interact with Fbxo45. Here the authors showed that this approach led to the disruption of the EphB2 / MYCBP2 complex, and also abolished the ephrinB mediated activation of EphB2 receptors and their differential outgrowth on ephrinB2-Fc / Fc stripes.

Finally, the authors demonstrated an in vivo function of this complex using another model system, C elegans where they were able to show a genetic interaction.

Data show in a nice set of experiments a novel level of EphB2 forward signalling where a ternary complex of this receptor with multifunctional MYCBP2 and Fbxo45 controls the activity of EphB2, allowing a further complex regulation of this important receptors. Additionally, the authors challenge pre-existing concepts of the function of MYCBP2 which might open up novel ways to think about this protein.

Of interest is this work also in terms of development of the retinotectal projection in zebrafish where MYCBP2/highwire plays a crucial role, and thus might lead to a better understanding of patterning along the DV axis, for which it is known that EphB family members are crucial.

Overall, the experiments are classical experiments of co-immunoprecipitations, swapping experiments, collapse assays, and stripe assays which all are well carried out and are convincing.

Reviewer #3 (Public Review):

Anonymous

In this improved version of the manuscript, Chang et al set out to find direct interactions with the Eph-B2 receptor, as our knowledge of its function/regulation is still incomplete. Using proteomic analysis of Hela cells expressing EPHB2, they identified MYCBP2 a potential binder, which they then confirm using extensive biochemical analyses, an interaction that seems to be negatively affected by binding of ephrin-B2 (but not B1). Furthermore, they find that FBXO45, a known MYCBP2 interaction, strongly facilitates its binding to EPHB2. Intriguingly, these interactions depend on the extracellular domains of EPHB2, suggesting the involvement of additional proteins as MYCBP2 is thought to be a cytoplasmic protein. Finally, they find that, in contrast to what could be expected given the known function of MYCBP2 as a ubiquitin E3 ligase, it actually positively regulates EPHB2 protein stability, and function.

The strength of this manuscript is the extensive biochemical analysis of the EPHB2/MYCBP2/FBXO43 interactions. The vast majority of the conclusions are supported by the data.

The attempt to extend the study to an in vivo animal using the worm is important, however the additive insight is, unfortunately, minimal.

eLife. 2024 Jan 30;12:RP89176. doi: 10.7554/eLife.89176.4.sa4

Author Response

Chao Chang 1,2, Sara L Banerjee 3,4, Sung Soon Park 5,6, Xiao Lei Zhang 7, David Cotnoir-White 8, Karla J Opperman 9, Muriel Desbois 10,11, Brock Grill 12,13,14, Artur Kania 15,16,17,18

The following is the authors’ response to the previous reviews

The revised manuscript is much improved - many unclear points are now better explained. However, in our opinion, some issues could still be significantly improved.

1. Statistics: none of us are experts in statistics but several things remain questionable in our opinion and if it were our study, we would consult with an expert:

a) while we understand the authors note about N-chasing and p-hacking, we wonder how the number of N's was premeditated before obtaining the results. Why in 4M an N of 3 is sufficient while in 3E the N is >20 (and not mentioned). At the very least, we think it would be wise to be cautious when stating something as not-significant when it is clear (as in 4M) that the likelihood of it actually being statistically significant is quite large.

b) In most analyses, the data is not only normalized by actin or some other measure but also to the first (i.e left side on the graph) condition, resulting in identical data points that equal '1' (in Figure 4 alone - C; I; K; M; and O) - while this might be scientifically sound, it should be mentioned (the specific normalization) and also note that this technique shadows any real variance that exists in the original data in this condition. consider exploring techniques to overcome this issue.

c) In 3C, - if we understand the experiment, you want to convince us that the DIFFERENCE between eB2-FC compared to FC is larger in the control compared to the experiment. We are not absolutely sure that the statistical tools employed here are sufficient - which is why we would consult an expert.

A) We are aware that many studies do not consistently quantify such experiments. For example, there are essentially no published examples of the signalling timelines of EphB2 receptors as in Fig. 5. By striving to quantifying such biochemical effects, an unquantified experiment stands out, and so perhaps we were too strict by trying to quantify as many experiments as possible, resulting in low n’s for some of them. We acknowledge that additional experiments on EPHB1 protein stability may reach significance. We have adjusted our text on line 332-335 to point to this interesting trend, and slightly changed the conclusion to this section. Similarly, we commented on similar trends when describing Figs. 1E and 4G on lines 901 and 952.

B) For the Western blot band intensity normalisation, we believe that our method is scientifically sound. Normally, when the replicate samples are loaded on one gel and blotted on the same membrane, the experimenter only needs to normalise the target band intensity to its cognate loading control band intensity for quantitation. However, we usually have a large number of samples from multiple experiments, carried out on different dates. For example, in Fig. 4B,C there are 7 biological replicates collected from 7 experiments and in Fig. 4D there are 10 protein samples. It is not possible for us to run all samples on the same gel. In addition, due to the combined effects of variance in transfer efficiency, the potency of antibodies, detection efficiency and the developing time for each blot, it is practically impossible to generate similar band intensity for each batch. Thus, we use normalisation of test bands to the loading control for individual experiments, and this analysis method is widely accepted by reputable journals with a focus on biochemical experiments (for example: PMID 37695914: Fig. 3 A,B,C; PMID 36282215: Fig. 3 B,C,D,E; PMID 33843588: Fig. 3 C,D,E,F,G,H). Since the value of the first sample on the plot is 1, which is a hypothetical value and does not meet the parametric test requirement, we performed one-sample t-test for statistics when other samples are compared with the first sample (PMID 35243233 Fig. 6 A,B,C,D; https://www.graphpad.com/quickcalcs/oneSampleT1/, “A one sample t-test compares the mean with a hypothetical value. In most cases, the hypothetical value comes from theory. For example, if you express your data as 'percent of control', you can test whether the average differs significantly from 100.”). Thus, we believe that our normalisation and statistical methods are both correct with a large number of precedents.

C) This comment refers to the cell collapse experiment shown in Fig. 3C for which the data are plotted in Fig. 3D. We stand by the statistical method used. There are two groups of cells (CTRLCRISPR and MYCBP2 CRISPR) and two treatments for each cell group (Fc control and eB2), thus we should use two-way ANOVA. Since we compared the cell retraction effects of Fc and eB2 on the two groups of cells, Sidak post hoc comparison is the right method to avoid errors introduced by multiple comparisons. Here is an example of an eLife article that used the same statistical method for similar comparisons: PMID 37830910, Fig. 1 H,I. To make the comparison easier, we grouped the experiments by cell type (CTRLCRISPR and MYCBP2 CRISPR) as opposed to by treatment. Below, the old version is on the right, and the new version is on the left. The conclusion is that eB2 induces less cell collapse in cells depleted of MYCBP2, when compared to the control cells. However, eB2 is still able to collapse cells lacking MYCBP2.

Author response image 1.

Author response image 1.

Revisiting these data, we noticed an error introduced when CC compiled the data used to generate Fig. 3D. The data were acquired from nine biological replicates per condition. CC used a mix of two methods for cell collapse rate calculation: the first method involved the sum of collapsed cells and all cells from multiple regions of one coverslip (biological replicate). The second method involved computing a collapse rate in each region which then was used to calculate the average collapse rate for the entire coverslip (technical replicate). Given the small cell numbers due to sparse culture conditions, we believe that the first method is a more conservative approach. We hence re-plotted all replicate data using the first method. This resulted in slightly different % collapse and p values. These were changed accordingly in the text and plot and do not affect the conclusion of this experiment.

1. thanks for the clarification that the interaction between the extracellular domain of EPHB2 and MYCBP2 might not occur directly - however, unless we missed this it was not clearly stated in the text. It is an important point and also a cool direction for the future - to find the elusive co-receptor that actually helps EPHB2 and MYCBP2 form a complex.

We now also refer to this in the results section on line 215.

“Since EPHB2 is a transmembrane protein and MYCBP2 is localised in the cytosol, these experiments suggest that the interaction between the extracellular domain of EPHB2 and MYCBP2 might be indirect and mediated by other unknown transmembrane proteins.”

1. The Hela CRISPR cell line is better explained in the response letter but still not sufficiently explained in the text for a non-expert reader. If the authors want any reader to comprehend this, we would strongly recommend adding a scheme.

We now include a schematic outlining the CRISPR cell generation as Fig. 3A and its description on line 926.

Author response image 2.

Author response image 2.

1. To clarify some of our previous (and persisting) concerns about Figure 3D/E - it is true that a reduction in 25% of cell size is dramatic. But (if we understand correctly) your claim is that a reduction in 22% (this is a guess, as the actual numbers are not supplies) is significantly less than 25%. Even if it is, statistically speaking, significant, what is the physiological relevance of this very slight effect? In this experiment, the N was quite large, and we wonder if the images in D are representative - it would be nice to label the data points in E to highlight which images you used.

We now mention the average cell area contraction measurements in the legend to Fig. 3F on line 935. We also tracked down the individual cells shown in Fig. 3E and they are now labelled as data points in blue in Fig. 3F. HeLa cell collapse is a simplified model of EPHB2 function and we do not know whether the difference between the behaviour of CTRLCRISPR and MYCBP2 CRISPR cells is physiologically significant and thus we prefer not to speculate on this.

1. Figure 3F and other stripe assays - In the end, it is your choice how to quantify. We believe that quantifying area of overlap is a more informative and objective measurement that might actually benefit your analyses. That said, if you do keep the quantification as it is now, you have to define the threshold of what you mean by "cell/s (or an axon in 7A, where it is even more complicated as are you eluding to primary, secondary, or even smaller branches) are RESIDING within the stripe". Is 1% overlap sufficient or do you need 10 or 50% overlap?

We now added this statement to the methods on line 745: “A cell was considered to be on an ephrin-B2 stripe when more than 50% of its nucleus was located on that stripe”. For chick explant stripe assay, when measuring the length of an axon on a stripe, we only measured the main axons originated from the explants.

For explant/stripe experiments in Fig. 7 AB, we now use the term “GFP-expressing neurite” rather than “branch”. This was already present in the results of the previous version, but the methods and legend needed to be brought up to date (lines 786 and 1008). We think that “branch” was a confusing term that was supposed to mean the same thing as “neurite” but came across as some indication of branching. We do not know whether the GFP+ neurites were primary or secondary extensions of explants, or in fact, whether some of them contained more than one axon. We also adjusted the method to reflect the fact that some stripes were used in conjunction with a single explant and added a reference to a previous study extensively using this method (Poliak et al., 2015) on line 778.

1. We still don't get the link to the lysosomal degradation. Your data suggests that in your cells EPHB2 is primarily degraded by the lysosomal pathway and not proteasome. Any statement about MYCBP2 is not strongly supported by the data, in our opinion - Unless you develop some statistical measurement that shows that the effect of BafA1 is statistically different in MYCBP2 cells than in control cells. Currently, this is not the case and the link is therefore not warranted in our opinion.

We generated a new version of Fig. 4K with average increase in EPHB2 levels in the presence of BafA1 and CoQ, compared to DMSO treated controls (see below). BafA1 and CoQ restored EPHB2 protein levels by 19% and 14% respectively in CtrlCRISPR cells, while the inhibitors restored EPHB2 protein levels by 40% and 35% respectively in MYCBP2 CRISPR cells.

Author response image 3.

Author response image 3.

For each of the 4 replicates, the increase in EPHB2 levels by BafA1 compared to DMSO is as followsAuthor response table 1:

Author response table 2.

CtrlCRISPR cells +9% +24% +27% +15%
MYCBP2CRISPR cells +31% +22% +62% +39%

These values are not significantly different between CtrlCRISPR cells versus MYCBP2 CRISPR cells (p = 0.08, student’s t test). Similarly for the CoQ experiment. We now temper our conclusion for this experiment: Although the difference in percentage increase between CTRLCRISPR cells and MYCBP2CRISPR cells is not significant, this trend raises the possibility that the loss of MYCBP2 promotes EPHB2 receptor degradation through the lysosomal pathway (line 319). We also adjusted the section title (line 306).

1. While the C. elegans part is now MUCH better explained - we are not sure we understand the additional insight. The fact that vab-1 and glo4 double mutants are additive as are vab1 and fsn1, suggest they act in parallel (if the mutants are NULL, and not if they are hypomorphs, if one wants to be accurate) - how this relates to your story is unclear. The vab1/rpm1 double mutant is still uninformative and incomplete. rpm1 phenotype is so severe that nothing would make it more severe. We read the Jin paper that the authors directed to - nothing makes the rpm1 phenotype more severe. Yes, some DOWNSTREAM elements make the rpm1 phenotype LESS severe - this is not something you were testing, to the best of our knowledge. Rather, you wanted to see if rpm1 mutant resulted in stabilization of vab1 and thus suppression of vab1 phenotype - we are just not sure the system is amenable to test (actually reject) your hypothesis that Vab1 is degraded by rpm1. Also, assuming we are talking about NULLs, the fact that the rpm1 phenotype is WAY stronger than the vab1 mutant, suggests that rpm1 functions via multiple routes, adding even more complexity to the system. Given these results, despite the much improved clarity, we are still not sure that the worm data adds new insight, rather than potentially confusing the reader.

We realise that the genetic interactions between vab-1 and the RPM-1/MYCBP2 signalling network are complicated. However, we insist on keeping the data for the sake of its availability for future studies and completeness. We also think it is important for readers and the community to see these data, even if the authors and reviewers are not entirely in agreement about the importance/interpretation of experimental outcomes. It is our hope that the community will examine the results and draw their own conclusions.

A few points of clarification:

The C. elegans experiments were designed to test genetically if the vertebrate interactions between EPHB2 and MYCBP2 and its signalling network are conserved. We studied two kinds of interactions: (1) between vab-1 and RPM-1/MYCBP2 downstream proteins (GLO-4 and FSN-1) and (2) between vab-1 and rpm-1. For these studies, we used null alleles for vab-1, glo-4 and fsn-1 which is now noted on lines 440, 453, 475 and 859. Our findings are consistent with the VAB-1 Ephrin receptor functioning in parallel to known RPM-1 binding proteins. This is further supported by new data: vab-1; fsn-1 double mutants showed enhanced incidence of axon overextension defects using a second transgenic background, zdIs5 (Pmec-4::GFP), to visualize axon termination (Fig. 8F).

This second transgenic background also allowed us to generate new data to address your concerns about phenotypic saturation in rpm-1 mutants. To do this, we used the zdIs5 (Pmec4::GFP) genetic background, in which axon termination defects are not saturated in rpm-1 mutants (Fig. 8F) because they can be enhanced by other mutants such as cdc-42 and unc-33 (Fig. 7C, D, in Borgen et al. Development 144, 4658–4672 (2017), PMID 29084805). In this new background, we found that vab-1 loss of function fails to enhance the incidence of severe “hook” defects in rpm-1 mutants which is an indication that the two genes function in the same pathway. Importantly, prior studies in this background, also showed that mutants in the RPM-1 signalling network (e.g. fsn-1, glo-4 and ppm-2) do not enhance the incidence of severe “hook” defects as double mutants with rpm-1 compared to rpm-1 single mutants (Fig. 7B, ibid.).

To reflect these ideas more clearly, we revised the Results section pertaining to C. elegans genetics (starting on line 418) and tempered our discussion (lines 517). Basically, this section now says that we studied genetic interactions between vab-1 and the RPM-1/MYCBP2 signalling network. From these experiments we conclude that: (1) The enhancement of overextension defects in vab-1; glo-4 and vab-1; fsn-1 double mutants compared to single mutants indicates that VAB-1/EPHR functions in parallel to known RPM-1 binding proteins to facilitate axon termination, and (2) Since the vab-1; rpm-1 double mutants do not display an increased frequency or severity of overextension defects compared to rpm-1 single mutants, VAB-1 /EPHR functions in the same genetic pathway as RPM-1/MYCBP2.

The new genetic data included in this version were generated by Karla J. Opperman who is now included as a co-author.

Further corrections:

Author response image 4.

Author response image 4.

Because of the errors associated with quantifications in Fig. 3D (see above), we reviewed other quantification methodologies and noticed another discrepancy that required a correction. In the hippocampal neuron growth cone collapse assay shown in the previous version of Fig. 7 D (left), the growth cones were classified into three groups: 1, fully collapsed; 2, hard to tell, but not fully collapsed; 3, fan-shape cones. Two different quantifications were performed as follows: (1), number of fully collapsed cones divided by the numbers of all growth cones; (2), number of fully collapsed cones divided by [number of fully collapsed cones + fan-shape cones]. CC erroneously used the second method to generate Fig. 7D.

We think that the first method is more appropriate. Furthermore, since n=5 for the Fc and eB1-Fc conditions, but n=3 for the eB2-Fc condition, we decided to omit it. The final plot for figure 7D is the following:

Author response image 5.

Author response image 5.

Our conclusion still stands that exogenous FBD1 WT overexpression impaired the growth cone collapse mediated by EphB.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Citations

    1. Chang C, Banerjee SL. 2023. Ubiquitin ligase and signalling hub MYCBP2 is required for efficient EPHB2 tyrosine kinase receptor function. ProteomeXchange. [DOI] [PMC free article] [PubMed]

    Supplementary Materials

    Figure 1—source data 1. Related to Figure 1C and D.
    Figure 1—source data 2. Related to Figure 1F and G.
    Figure 2—source data 1. Related to Figure 2A, B and E.
    Figure 2—source data 2. Related to Figure 2G, I.
    Figure 3—source data 1. Related to Figure 3B.
    Figure 4—source data 1. Related to Figure 4A, B and D.
    Figure 4—source data 2. Related to Figure 4F.
    Figure 4—source data 3. Related to Figure 4H and J.
    Figure 4—source data 4. Related to Figure 4L.
    Figure 5—source data 1. Related to Figure 5A.
    Figure 6—source data 1. Related to Figure 6B.
    Figure 6—source data 2. Related to Figure 6C.
    MDAR checklist

    Data Availability Statement

    The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository (Perez-Riverol et al., 2019) with the dataset identifier PXD041786 and https://doi.org/10.6019/PXD041786.

    The following dataset was generated:

    Chang C, Banerjee SL. 2023. Ubiquitin ligase and signalling hub MYCBP2 is required for efficient EPHB2 tyrosine kinase receptor function. ProteomeXchange.


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