The metalloprotease ADAM10/Kuzbanian catalyzes the ligand-dependent ectodomain shedding of Notch receptors and activates Notch. Here, we show that the human tetraspanins of the evolutionary conserved TspanC8 subfamily (Tspan5, Tspan10, Tspan14, Tspan15, Tspan17, and Tspan33) directly interact with ADAM10, regulate its exit from the endoplasmic reticulum, and that four of them regulate ADAM10 surface expression levels. In an independent RNAi screen in Drosophila, two TspanC8 genes were identified as Notch regulators. Functional analysis of the three Drosophila TspanC8 genes (Tsp3A, Tsp86D, and Tsp26D) indicated that these genes act redundantly to promote Notch signaling. During oogenesis, TspanC8 genes were up-regulated in border cells and regulated Kuzbanian distribution, Notch activity, and cell migration. Furthermore, the human TspanC8 tetraspanins Tspan5 and Tspan14 positively regulated ligand-induced ADAM10-dependent Notch1 signaling. We conclude that TspanC8 tetraspanins have a conserved function in the regulation of ADAM10 trafficking and activity, thereby positively regulating Notch receptor activation.

Cell–cell communication during development and throughout adult life are mediated via secreted and cell surface proteins. Various regulatory mechanisms ensure proper levels of cell–cell interactions and signaling in time and space. One such mechanism involves the regulated processing of cell surface proteins by proteases of the ADAM (a disintegrin and metalloprotease) family. ADAM proteases are type I transmembrane proteins that cleave membrane proteins at sites located close to the membrane, thereby leading to the extracellular release of the ectodomain. This shedding mechanism is essential for cytokine secretion, cell–cell adhesion, and signaling by transmembrane ligands and receptors (Blobel, 2005; Reiss and Saftig, 2009).

ADAM10 is one of the best-characterized members of the ADAM family (Blobel, 2005; Reiss and Saftig, 2009). ADAM10 has several important targets including the amyloid precursor protein (APP) involved in Alzheimer’s disease, Fas ligand, several EGF receptor ligands, and Notch receptors. Genetic and biochemical studies have shown that ADAM10, known as Kuzbanian (Kuz) in Drosophila, regulates the ligand-dependent processing of Notch at an extracellular site called S2 (Pan and Rubin, 1997; Sotillos et al., 1997; Wen et al., 1997; Brou et al., 2000; Mumm et al., 2000; Hartmann et al., 2002; Lieber et al., 2002; Bozkulak and Weinmaster, 2009; van Tetering et al., 2009). This site is normally protected from ADAM10 cleavage by three Lin12-Notch repeats (LNRs). Upon ligand binding, a ligand-induced conformational change is thought to displace the LNRs, thereby exposing the S2 site to ADAM10 (Gordon et al., 2007; Tiyanont et al., 2011; Meloty-Kapella et al., 2012). S2 cleavage by ADAM10 generates a membrane-tethered form of Notch that is further processed by γ-secretase at an S3 site located within the transmembrane domain of Notch. S3 cleavage results in the release of the Notch intracellular domain (NICD) that acts in the nucleus to regulate the transcription of Notch target genes (Lecourtois and Schweisguth, 1998; Schroeter et al., 1998; Struhl and Adachi, 1998; De Strooper et al., 1999; Kopan and Ilagan, 2009).

ADAM10 was recently shown to associate with several tetraspanins (Arduise et al., 2008; Xu et al., 2009). Tetraspanins are integral membrane proteins with four transmembrane segments, three short intracellular domains, and a specific fold in the largest of the two extracellular domains. They are expressed in many cell types and have been implicated in various biological processes including cell migration, cell fusion, lymphocyte activation, as well as viral and parasitic infections (Hemler, 2005; Charrin et al., 2009). Tetraspanins are believed to play a role in membrane compartmentalization. This hypothesis is based to a large extent on their unique ability to interact with one another and with non-tetraspanin integral proteins to form a dynamic network of interactions (Hemler, 2005; Charrin et al., 2009). Inside this “tetraspanin web” or “tetraspanin-enriched microdomains,” tetraspanins specifically interact with a limited number of partner proteins to form primary complexes. These in turn assemble through tetraspanin–tetraspanin interaction to generate higher order complexes. Primary complexes can be isolated from higher order complexes using detergents such as digitonin, which disrupt tetraspanin–tetraspanin interactions and/or precipitate higher order complexes. Such biochemical approaches have been instrumental to show that the integrins α3β1 and α6β1 form primary complexes with the tetraspanin CD151 and that the Ig domain-containing proteins CD9P-1/EWI-F and EWI-2 are partners of both CD9 and CD81 (Yauch et al., 1998; Serru et al., 1999; Charrin et al., 2001, 2003; Stipp et al., 2001a,b). By contrast, the specific tetraspanins that directly interact with ADAM10 to form primary complexes have not been identified.

In this study, members of a subfamily of tetraspanins that we named TspanC8 were identified as direct and specific partners of ADAM10. In an independent large-scale RNAi screen in Drosophila, we uncovered two TspanC8 genes as positive regulators of Notch. Using a combination of in vitro and in vivo assays, we show that TspanC8 tetraspanins regulate the exit of ADAM10/Kuzbanian from the ER, promote its accumulation at the cell surface, and thereby regulate Notch receptor activation in both flies and mammals.

Biochemical identification of TspanC8 tetraspanins as direct partners of ADAM10

Several tetraspanins were previously shown to interact with the mature form of ADAM10 (∼68 kD under nonreducing conditions) but not with the immature one (∼100 kD, with its prodomain; Arduise et al., 2008; Xu et al., 2009). These coimmunoprecipitation experiments were however performed using a detergent, Brij 97, that preserved tetraspanin–tetraspanin interactions (Fig. 1 A) and therefore did not discriminate between direct and indirect interactions. To reveal specific and direct interactions, coimmunoprecipitations were performed after lysis with digitonin. Using digitonin, ADAM10 did not interact with the classical tetraspanins CD9, CD63, CD81, CD82, and CD151, whereas CD9 still interacted with CD9P-1 (Fig. 1 A and unpublished data). We conclude that the previously reported interactions of tetraspanins with ADAM10 were indirect.

The lack of digitonin-resistant interactions between ADAM10 and classical tetraspanins prompted us to investigate whether less well-characterized tetraspanins could be the direct partners of ADAM10. We initially selected a subset of tetraspanins identified through database mining (Serru et al., 2000). Because no antibodies were available, V5- or GFP-tagged tetraspanins were transiently expressed into PC3 cells that express high levels of ADAM10. Tspan5 (NET-4), but not Tspan1 (NET-1) or Tspan9 (NET-5), was found to coimmunoprecipitate ADAM10 after digitonin lysis (Fig. 1, B and C).

Tspan5 belongs to a subfamily of tetraspanins that are characterized by the presence of eight cysteines in the large extracellular domain (Boucheix and Rubinstein, 2001; Huang et al., 2005). We refer to this family here as TspanC8. This family also includes Tspan10 (occulospanin), Tspan14 (DC-TM4F2), Tspan15 (NET-7), Tspan17, and Tspan33 (penumbra). By contrast with most tetraspanins, TspanC8 family members appeared to be evolutionarily conserved from invertebrates to mammals (Fig. S1). ADAM10 was found to interact in a digitonin-resistant manner with GFP-tagged Tspan14, Tspan15, Tspan33, and, to a lesser extent, with Tspan10 and Tspan17 (Fig. 1 C). By contrast, two GFP-tagged non-TspanC8 tetraspanins, CD9 and Tspan12, did not coimmunoprecipitate ADAM10 (Fig. 1 C). A Tspan5 molecule mutated at all four putative palmitoylation sites still interacted with ADAM10 (Fig. 1 D). Because interactions between tetraspanins rely to a large extent on their palmitoylation (Berditchevski et al., 2002; Charrin et al., 2002; Yang et al., 2002), this result indicated that ADAM10 interacted directly with Tspan5. Direct interactions of ADAM10 with TspanC8 were further suggested by the detection of complexes containing ADAM10 and Tspan5, Tspan14, Tspan15, and Tspan33 after chemical cross-linking (Fig. 1 E). Together, these biochemical data indicate that ADAM10 directly interacts with TspanC8 tetraspanins.

Genetic identification of TspanC8 tetraspanins as Notch regulators

In a parallel approach, two genes of the TspanC8 family, Tsp3A and Tsp86D, were identified in an RNAi screen for Notch regulators in Drosophila. Conditional silencing was achieved using the binary UAS/GAL4 system in combination with the thermo-sensitive GAL80ts inhibitor. We used the apterous-Gal4 driver (ap-Gal4) to direct dsRNA expression in imaginal tissues giving rise to the adult dorsal thorax. 11,199 UAS-dsRNA transgenic lines targeting 6,020 genes, i.e., 40% of the fly genome, were screened. This primary screen led to the identification of 272 genes with previously unknown function in sensory organ development (unpublished data). The silencing of Tsp3A and Tsp86D in imaginal tissues resulted in a weak increase in the number of adult sensory bristles (Figs. S2 and S3), a phenotype indicative of reduced Notch activity (Hartenstein and Posakony, 1990). A similar effect was observed in secondary screens using dsRNA and miRNA constructs that did not overlap with the dsRNA transgenes used in the screen (Fig. S3), therefore arguing against off-target effects. Of note, the Tsp3A and Tsp86D genes were not found in a previous bristle screen for Notch regulators (Mummery-Widmer et al., 2009). Consistent with this, the Tsp3A and Tsp86D RNAi lines used by Mummery-Widmer et al. (2009) were weaker than those used in our screen (not depicted). Thus, this screen identified Tsp3A and Tsp86D as potential regulators of Notch.

The Drosophila TspanC8 family includes a third member, Tsp26A, not tested in our screen. Silencing of Tsp26A did not affect bristle density (Figs. S2 and S3). The weak (or lack of) RNAi phenotypes seen for the TspanC8 genes may be due to the partial nature of the silencing effect by dsRNA (Dietzl et al., 2007) or to genetic redundancy. To test this possibility, different silencing combinations were tested. All yielded stronger phenotypes than individual silencing (Fig. S3). Strikingly, silencing all three genes or silencing Tsp3A and Tsp26A in heterozygous Tsp86D flies was associated with an increase in the number of sensory organ precursor cells (SOPs; Fig. 2, B and E), a transformation of external sensory cells into internal cells (Fig. 2, C and F), and thereby led to a dramatic bristle loss phenotype (Fig. 2, A and D; and Fig. S3). These three phenotypes are indicative of a strong decrease of Notch activity (Hartenstein and Posakony, 1990). We therefore conclude that these genes act redundantly to regulate the activity of Notch. Notch-like phenotypes were also observed in adult wings (Fig. S3) and in ovaries (see following paragraphs). Thus, the Tsp3A, Tsp26A, and Tsp86D genes are required to regulate Notch activity in several developmental contexts.

We next asked whether these TspanC8 genes act in signal-sending cells to promote ligand activity or in signal-receiving cells to promote receptor activity. To distinguish between these two possibilities, we used a clone border assay that measures the relative ability of cells of different genotypes to compete for the adoption of the SOP fate along mosaic clone borders (Heitzler and Simpson, 1991). In this assay, cells receiving a weaker inhibitory signal are more likely to become SOPs, whereas cells sending a weaker inhibitory signal are more likely to adopt a non-SOP fate. We therefore scored the genotype of SOPs located along the clone borders and found that cells with reduced levels of Tsp3A, Tsp26A, or Tsp86D were more likely to become SOPs (Fig. 2, G and H). This indicated that the TspanC8 genes act in signal-receiving cells to promote Notch activity. Because the silencing of TspanC8 had no significant effect of the levels and distribution of Notch and Delta (Fig. 2, I–J′′), we wondered whether TspanC8 might regulate Notch indirectly via Kuz, the fly homologue of ADAM10, which also acts in signal-receiving cells to promote the S2 cleavage of Notch (Klein, 2002; Lieber et al., 2002). Consistent with this hypothesis, a Myc-tagged version of Kuz was found to interact in a digitonin-resistant manner with GFP-Tsp3A in Drosophila S2 cells (Fig. 1 F). Thus, the molecular interaction between ADAM10/Kuz and TspanC8 is evolutionarily conserved.

Surface accumulation of ADAM10 correlates with high TspanC8 levels

Our identification of TspanC8 tetraspanins as direct partners of ADAM10 and positive regulators of Notch suggested that these proteins may have an essential and conserved function in the regulation of ADAM10/Kuz. To test whether human TspanC8 tetraspanins regulate ADAM10, we screened various carcinoma cell lines for surface expression of ADAM10 and selected three cell lines with high (HCT116 and PC3) and low (HeLa) surface expression of ADAM10 for further analysis (Fig. 3 A). Although HeLa cells expressed slightly less ADAM10 at the mRNA level (Fig. 3 B), we examined whether the observed differences in surface levels reflected differences in subcellular distribution. Consistent with our FACS results, ADAM10 was detected at the surface of nonpermeabilized HCT116 and PC3 cells but was barely detectable at the surface of HeLa cells (Fig. 3 C). However, a perinuclear pool of ADAM10 was detected in HeLa cells upon permeabilization (Fig. 3 C). This intracellular pool colocalized with PDI, an ER marker (Fig. 3 D), suggesting that ADAM10 may be retained in the ER of HeLa cells. Additionally, RT-qPCR analysis showed that HeLa cells expressed low levels of TspanC8, whereas HCT116 and PC3 cells expressed high levels of Tspan14 and Tspan15, respectively (Fig. 3 E). Thus, accumulation of ADAM10 in the ER correlated with low levels of TspanC8, suggesting that TspanC8 tetraspanins may regulate the ER exit of ADAM10.

TspanC8 tetraspanins promote the ER exit and increase cell surface expression of ADAM10

As a first test to determine whether TspanC8 tetraspanins regulate the ER exit of ADAM10, we examined whether the cell surface accumulation of ADAM10 could be restored in HeLa cells by expressing GFP-tagged versions of TspanC8 tetraspanins. Surface levels of ADAM10 were increased up to fivefold upon transient transfection of Tspan5, Tspan14, Tspan15, and Tspan33 (Fig. 4 A), and this was associated with an accumulation of mature ADAM10 (Fig. 4 B). Maximal levels of ADAM10 expression at the cell surface were reached with moderate levels of these tetraspanins. This regulation of ADAM10 appeared to be independent from tetraspanin–tetraspanin interactions because expression of Tspan5-plm, i.e., mutated at predicted palmitoylation sites, similarly increased ADAM10 surface levels. Additionally, this regulation was specific of TspanC8 because transfection of CD9 or Tspan12 had no effect. Conversely, expression of TspanC8 proteins did not affect the expression level of ADAM17 (Fig. S4).

Confocal microscopy analysis shows that expression of Tspan5, Tspan14, Tspan15, or Tspan33 led to the redistribution of ADAM10 from the ER to the cell surface of HeLa cells, where it colocalized with the transfected TspanC8 (Fig. 5 A). To test whether ADAM10 interacts with TspanC8 at the cell surface, cell surface proteins of HeLa cells stably expressing or not Tspan5, Tspan14, or Tspan15 were biotinylated and lysates were subjected to immunoprecipitation using anti-ADAM10 or anti-GFP antibodies (Fig. 4 C). In transfected cells, but not in control cells, anti-GFP precipitated a biotin-labeled protein that co-migrated with ADAM10 (Fig. 4 C) and that was revealed with the anti-ADAM10 mAb in dual-color Western blots. Importantly, in these experiments the level of association of ADAM10 with the transfected TspanC8 was higher than in the experiments shown in Fig. 1. Indeed, similar amounts of ADAM10 were precipitated using anti-GFP and anti-ADAM10 antibodies, suggesting that a large fraction of the ADAM10 pool was in complexes with TspanC8 and reciprocally a fraction of Tspan5, Tspan14, and Tspan15 could also be coimmunoprecipitated with ADAM10 (Fig. 4 C). This stronger association may be due in part to the absence of competition with endogenous TspanC8 in HeLa cells. We therefore conclude that the interaction of ADAM10 with these TspanC8 tetraspanins is quantitatively important and occurs at the cell surface.

In these experiments, Tspan10 and Tspan17 appeared to behave differently than the other TspanC8: Tspan17 had only a moderate effect on ADAM10 surface expression and Tspan10 did not change ADAM10 surface expression or maturation (Fig. 4, A and B). Nevertheless, Tspan10 and Tspan17 appeared to relocalize ADAM10 into a Tspan10- and Tspan17-positive intracellular compartment marked by CD63, a marker of late endosomes (Fig. 5 A and Fig. S4 B), suggesting that Tspan10 and Tspan17 might also promote the ER exit of ADAM10. Together, these results indicated that TspanC8 tetraspanins promote the ER exit and, with the exception of Tspan10 and Tspan17, cell surface accumulation of ADAM10.

We next examined the effect of TspanC8 tetraspanins on the distribution of Kuz in transfected S2 Drosophila cells. Expression of GFP-tagged Tsp86D and Tsp3A led to a significant change in the distribution of Myc-tagged Kuz. In control cells, only 4 ± 1% of the Kuz-expressing cells exhibited a clear plasma membrane localization of Kuz. Expression of Tsp86D and Tsp3A increased the percentage of cells with Kuz localizing predominantly at the plasma membrane to 9 ± 3 and 22 ± 2%, respectively (Fig. 5, B–B′′). We therefore propose that the regulation of Kuz/ADAM10 distribution by TspanC8 is conserved across species.

Endogenous TspanC8 tetraspanins are required for the ER exit of ADAM10

We next investigated whether endogenous TspanC8 are required for the surface accumulation of ADAM10. The Tspan14 and Tspan15 genes were silenced using siRNAs in HCT116 cells and PC3 cells, respectively. Silencing was strong and specific, as determined by RT-qPCR (Fig. 6 A). In both cases, silencing led to decreased levels of ADAM10 at the cell surface (Fig. 6 B) and to the accumulation of ADAM10 in an intracellular compartment identified as the ER using PDI as a marker (Fig. 6 C). This indicates that endogenous TspanC8 tetraspanins are required to promote the exit of ADAM10 from the ER.

TspanC8 tetraspanins regulate Kuzbanian localization and Notch activity in vivo

To test whether TspanC8 regulate the subcellular distribution of ADAM10/Kuz in vivo, we turned to Drosophila. Because no anti-Kuz antibodies are available, we generated a GFP tagged-version of Kuz (Fig. S3). Starting from a 96-kb genomic BAC covering the kuz locus (Venken et al., 2006), we used recombineering to generate a Kuz-GFP BAC transgene (Fig. S2; Venken et al., 2009). A single copy of this transgene rescued the lethality of kuz mutant flies, indicating that Kuz-GFP is functional and expressed like wild-type Kuz. A very low level of GFP was detected in most larval and imaginal tissues, indicating that Kuz is expressed at low levels, preventing us from studying the distribution of Kuz in these tissues. Previous studies had, however, indicated that the kuz gene is expressed at higher levels in a group of migrating cells known as the polar/border cells in ovaries (Wang et al., 2006; Fig. 7 A). Consistent with this, Kuz-GFP was detected in migrating polar/border cells (Fig. 7, D–D′′′). In this context, the activity of kuz is required for both Notch signaling and collective cell migration (Wang et al., 2006). Early silencing of the TspanC8 genes in border cells using the c306 and slow border (slbo) GAL4 drivers resulted in fewer border cells (Fig. 7 B) and delayed migration (Fig. 7 C). Both phenotypes were also observed upon silencing of kuz (Fig. 7, B and C). We therefore used this model system to study the in vivo regulation of Kuz distribution by TspanC8.

First, we observed that Kuz-GFP distributed differently in polar and border cells. Kuz localized into intracellular dots in the two centrally located polar cells, whereas it localized more diffusely at the cell periphery and in the cytoplasm in the 6–8 border cells surrounding the two polar cells. The nature of these Kuz-GFP dots is unclear. In particular, the ER or Golgi markers Sec16, Liquid facet Related, GMAP, and Ofut1 did not mark these dots (not depicted). Despite this, we wondered whether different levels of TspanC8 in polar vs. border cells might account for this difference in distribution. Because transcriptome analysis has suggested that the Tsp86D gene is expressed in these migrating cells (Wang et al., 2007), we investigated the expression of Tsp86D using a 21-kb genomic BAC encoding a GFP-Tsp86D transgene (Venken et al., 2009). GFP-Tsp86D was expressed at high levels in border cells, whereas polar cells had low levels of GFP-Tsp86D (Fig. 7, E–E′′′). Similarly, we generated a BAC-encoded GFP-Tsp3A and observed that GFP-Tsp3A was also specifically expressed in border cells (Fig. S2). Thus, the intracellular Kuz-GFP dots in polar cells correlated with low levels of Tsp3A and Tsp86D. Furthermore, the silencing of Tsp3A and Tsp26A in Tsp86D heterozygous flies in border cells led to a redistribution of Kuz-GFP into intracellular dots (Fig. 7, F–H; silencing was found to be both efficient and specific in this tissue, as determined using GFP-Tsp3A and GFP-Tsp86D as read-outs: silencing was 80% [Tsp3A] and 97% [Tsp86D] efficient; see Fig. S5). We conclude that TspanC8 tetraspanins regulate the distribution of Kuz in border cells.

A previous study has shown that Kuz regulates Notch in border cells (Wang et al., 2007). To test whether TspanC8 regulates Kuz-dependent Notch signaling in border cells, we used a Notch transcriptional reporter, Gbe-GFP (Housden et al., 2012), expressed in both border and polar cells (Fig. 7, I and I′). The silencing of Tsp3A and Tsp26A in border cells of Tsp86D heterozygous flies led to a significant decrease in Gbe-GFP expression in border but not polar cells (Fig. 7, I–L). Together, our data indicated that TspanC8 tetraspanins regulate the subcellular distribution of Kuz and the activity of Notch in border cells.

TspanC8 tetraspanins positively regulate Notch activity at a pre-γ-secretase step

To test whether human TspanC8 also regulate Notch, HeLa cells were co-cultured with OP9 cells expressing or not the Notch ligand DLL1. A threefold increase in the activity of a CSL-luciferase Notch reporter was induced by DLL1. We next measured Notch activity in HeLa cells stably expressing Tspan5, Tspan14, or Tspan15. HeLa cells expressing Tspan5 and Tspan14, but not Tspan15, showed a 50% increase in OP9-DLL1–induced Notch activity as compared with HeLa cells (Fig. 8 A). These results suggested that the levels of ADAM10 at the cell surface may be limiting for Notch activation in HeLa cells. They also suggested that the Tspan15–ADAM10 interaction may not be sufficient to up-regulate Notch activity.

We next examined the consequence of decreased TspanC8 expression on Notch activity. U2OS cells transduced with human Notch1, i.e., U2OS-N1 (Moretti et al., 2010), were transiently transfected with the CSL-luciferase Notch reporter and co-cultured with OP9 cells expressing or not DLL1. In this assay, luciferase activity increased ∼20-fold in the presence of DLL1 (Fig. 8 B). Activation of Notch1 in U2OS-N1 cells was regulated by ADAM10 because the silencing of ADAM10 decreased OP9-DLL1-induced Notch1 activity (Fig. 8, B and C). Tspan5 and Tspan14 were the major TspanC8 expressed by U2OS cells (unpublished data). Double silencing of these TspanC8 tetraspanins led to an ∼60% reduction in Notch reporter activity, whereas single silencing of Tspan5 or Tspan14 led to an ∼45% and ∼35% reduction, respectively (Fig. 8 B). This effect correlated with a significant decrease in the surface expression levels of ADAM10 (Fig. 8 C), but not of Notch1 (Fig. 8 D). As a control, the silencing of CD81 had no effect. These results indicated that Tspan5 and Tspan14 promote Notch receptor activity in signal-receiving cells.

To determine the step at which TspanC8 tetraspanins act, we measured the effect of Tspan5 and Tspan14 silencing on two constitutively activated versions of Notch1. The first one, NICD, corresponds to the intracellular domain of Notch1 lacking the PEST domain. The activity of NICD is independent of both ADAM10 and γ-secretase. The second, Notch1-ΔE, contains a short extracellular stub, the transmembrane domain, and the intracellular domain of Notch1 without the PEST domain (Jarriault et al., 1995; Schroeter et al., 1998). The activity of Notch1-ΔE is independent of ADAM10 but dependent on γ-secretase (Mumm et al., 2000). Double silencing of Tspan5 and Tspan14 did not significantly reduce the activities of NICD and Notch1-ΔE (Fig. 8 E). We conclude that TspanC8 tetraspanins regulate Notch receptor activity at a pre–γ-secretase step in signal-receiving cells, which is fully consistent with a regulation of the ADAM10-dependent S2 cleavage of Notch.

This study identifies a conserved subfamily of tetraspanins, named here TspanC8, which regulate the localization and activity of ADAM10/Kuz and thereby modulate Notch receptor activation. This conclusion is supported by several key findings: (i) ADAM10 interacts with several TspanC8 tetraspanins in both flies and mammals. (ii) ADAM10 surface expression levels are controlled by TspanC8 both in human cells and in Drosophila. (iii) TspanC8 tetraspanins act in signal-receiving cells for the ligand-induced and ADAM10/Kuz-dependent activation of Notch.

This study shows that ADAM10 is a specific and direct partner of all six human TspanC8 tetraspanins. In addition, Tspan5, Tspan14, Tspan15, and Tspan33 increased the expression of ADAM10 at the cell surface and promoted its maturation. A similar finding was recently reported for Tspan15 (Prox et al., 2012). Tspan12 was proposed earlier to interact closely with ADAM10 and to promote its maturation (Xu et al., 2009). However, it did not interact with ADAM10 after digitonin lysis, and did not increase ADAM10 surface expression level and maturation when transfected in HeLa cells. These data, together with the observation that the interaction of ADAM10 with Tspan12 required its palmitoylation (Xu et al., 2009), strongly suggest that Tspan12 interacts only indirectly with ADAM10. Additionally, Tspan10 and Tspan17 behaved differently from other TspanC8 tetraspanins because their expression induced the intracellular redistribution of ADAM10 in HeLa cells. We therefore suggest that different TspanC8 may provide ADAM10 with different trafficking properties.

How do Tspan5, Tspan14, Tspan15, and Tspan33 regulate the expression level of mature ADAM10? A possibility, consistent with their interaction at the cell surface, is that these tetraspanins act by stabilizing ADAM10 at the plasma membrane. This increase in mature ADAM10 expression is also probably, to some extent, a direct consequence of the ability of TspanC8 to mediate the ER exit of ADAM10. ADAM10 is retained in the ER through a mechanism involving an arginine-based motif (Marcello et al., 2010) that may function as an ER retention signal. Such arginine-based motifs are often found in subunits of multi-molecular complexes and are masked upon complex assembly, thereby allowing ER exit of the properly assembled complexes (Michelsen et al., 2005). We therefore suggest that TspanC8 tetraspanins allow for the ER exit of ADAM10 by masking its arginine-based motif. A role of tetraspanins in the ER exit of their molecular partner is probably not restricted to TspanC8 tetraspanins, as suggested by the differential expression and/or maturation of CD19 and EWI-2 in the presence or not of their partner tetraspanins (Shoham et al., 2003; Stipp et al., 2003; He et al., 2009). Although an ER retention motif has yet to be defined in EWI-2 or CD19, both proteins contain a putative arginine-based motif (unpublished data).

Our results indicating that several human TspanC8 family members have a similar molecular activity on the regulation of ADAM10 are consistent with our RNAi analysis showing that the fly TspanC8 genes act redundantly to regulate Notch. However, one limitation of this RNAi approach is that silencing is often incomplete (Dietzl et al., 2007), so that residual activity might hinder some aspects of the null mutant phenotype. Despite this limitation, our data clearly established that TspanC8 tetraspanins play an essential role for proper Notch activity in various developmental settings. Kuz is likely to be the main target of TspanC8 in Drosophila. First, our clone border analysis indicated that the activity of TspanC8, like that of Kuz, is required in signal-receiving cells. Second, the distribution of Kuz, but not those of Notch and Delta, appeared to be regulated by TspanC8. Third, Kuz appeared to interact with Tsp3A (interaction with Tsp26A and Tsp86D was not tested). Our data further indicated that the relevant target of Kuz is Notch, rather than its ligand Delta. Although Kuz can down-regulate Delta (Qi et al., 1999; Mishra-Gorur et al., 2002), hence potentially interfering with its cis-inhibitory activity (del Álamo et al., 2011), Delta levels remained unchanged upon TspanC8 silencing. Moreover, human Tspan5 and Tspan14 positively regulated ligand-induced ADAM10-dependent Notch1 signaling at a pre-γ-secretase step in an assay where ligands act in trans. Together, our data support the view that TspanC8 tetraspanins regulate Notch activity via the regulation of the ADAM10/Kuz-mediated S2 cleavage. Also consistent with this view are the synergistic interactions observed between the C. elegans TspanC8 family member tsp-12 and sup-17, the ADAM10 orthologue. tsp-12 was identified as a suppressor of a mutation causing constitutive or elevated activity of GLP-1, one of two Notch-like receptors in C. elegans (Dunn et al., 2010). However, Tsp-12 was proposed to act by facilitating the S3 (rather than the S2) cleavage of GLP-1. This interpretation relied to a large extent on the observation that Tspan33 silencing in HeLa cells reduced the activity of Notch1-ΔE but had no effect on NICD. Whether Tspan33 regulates γ-secretase activity indirectly via the non-TspanC8 tetraspanins that were found associated with γ-secretase (Wakabayashi et al., 2009) remains to be determined. Whatever the molecular basis, this result contrasts with our data showing that the silencing of both Tspan5 and Tspan14 significantly decreased ligand-mediated Notch activation but had no effect on the activity of Notch1-ΔE. Unfortunately, we could not investigate the role of Tspan33 in the S2 and S3 processing of Notch1 because none of the cell lines tested here, including HeLa, expressed Tspan33 at a significant level.

In conclusion, this study establishes that the trafficking and activity of ADAM10 are regulated by tetraspanins of the TspanC8 family and that this regulation has important consequences in terms of Notch signaling. Further work should determine why ADAM10 associates with so many tetraspanin partners. We hypothesize that these different tetraspanins may provide ADAM10 with different trafficking properties (Tspan10 and Tspan17) or differentially restrict the range of its substrates, as suggested by the lack of effect of Tspan15 transfection on Notch activity in HeLa cells. This new link has potential implications for the interpretation of phenotypes associated with defective TspanC8 activity, and further work should determine whether the defect in erythropoiesis of Tspan33 (penumbra) mutant mice is linked to a defect of ADAM10 and/or Notch function (Heikens et al., 2007). Finally, because ADAM10 is a promising therapeutic target in various pathologies (Saftig and Reiss, 2011) and because mouse TspanC8 genes display tissue-specific expression (Wu et al., 2009), it might be envisaged to inhibit ADAM10 activity in a tissue-specific manner by interfering with the activity of specific TspanC8.

Reagents for in vitro studies

The mouse mAb anti–human ADAM10 11G2 was described in Arduise et al. (2008); the mouse mAb anti–human Notch1 and anti–human ADAM17 were from R&D Systems and the anti–human PDI from Abcam. The anti-tag antibodies used in this study were anti-GFP (a mouse mAb coktail from Roche and a rabbit polyclonal from Santa Cruz Biotechnology, Inc.), anti-HA (HA11 mouse mAb from Covance), and anti-V5 (a mouse mAb and a rabbit polyclonal from Sigma-Aldrich). The following siRNAs were obtained from Invitrogen and Eurogentec: control siRNA: Stealth RNAi Negative Control Medium GC; Tspan5: AUGUCAUCCCGAUAUGCUCUGAUGU; Tspan14: CGCCAUCUCGCUGUUGCAGAUAUUU; Tspan15: ACAACCUGUACCUUCUCCAAGCAUU; and CD81: GCACCAAGUGCAUCAAGUA-dTdT.

All V5- or GFP-tagged tetraspanin cDNA were of human origin. Coding regions were amplified by PCR from previously described plasmids (Tspan1, Tspan5, Tspan9, Tspan12, and Tspan15; Serru et al., 2000), from plasmids obtained from Open Biosystems (Tspan10 and Tspan33), or from a reverse-transcription performed on HCT116 RNA (Tspan14). PCR products were subcloned into pEGFP-N1, pEGFP-N3, or pcDNA 3.1 Directional TOPO vectors. hTspan17 and Tspan5-plm were synthesized by Eurogentec. The mouse myc-tagged Notch1 constructs ΔE and NICD (in the pCS2+MT vector) and the HA-tagged bovine ADAM10 (in pCDNA3) were described previously (Jarriault et al., 1995; Lammich et al., 1999).

The cell lines HeLa (cervical carcinoma), HCT116 (colon carcinoma), PC3 (prostate carcinoma), and HEK293 (human embryonic kidney) were cultured in DME containing 10% FCS and antibiotics. Cells were transfected with either Fugene 6 (Promega) or Lipofectamine 2000 (Invitrogen) according to the manufacturers’ instructions. OP9 cells expressing the human Notch ligand DLL-1 (OP9-DLL-1) and the human osteosarcoma cell line U2OS expressing human Notch1 (U2OS-N1) were obtained by infection with retroviruses carrying the DLL1 cDNA cloned in the MSCV-IRES-GFP vector and a human Notch1 cDNA cloned in the pBabe puro vector, respectively. These two cell lines are described in Moretti et al. (2010) and Six et al. (2004). S2 cells were transfected using FugeneHD (Promega) following the manufacturer’s instructions.

S2 cells were transfected with pMT-Gal4 (obtained from the Drosophila Genomics Resource Center), pUAS-GFP-Tsp3A, and Myc-tagged Kuz using FugeneHD (Promega) according to the manufacturer’s instructions. Expression of GFP-Tsp3A in S2 cells was monitored for 16–20 h after induction with 500 µm of CuSO4, and cells were immunostained following standard procedures. The Tsp3A ORF was PCR amplified from cDNAs prepared from wild-type total embryonic RNAs and fused in-frame downstream of EGFP with a YSDLR linker, sequenced and cloned into a pUASt vector to generate pUAS-GFP-Tsp3A. Myc-tagged Kuz corresponds to the kuz ORF with a 6x Myc epitope tag at its C terminus under an actin promoter (Lieber et al., 2002).

Flow cytometry analysis

Cells were detached, washed twice in complete DME and incubated for 30 min at 4°C with 10 µg/ml primary antibody. After three washings, the cells were incubated for 30 min at 4°C with a fluorochrome-conjugated F(ab′)2 goat anti–mouse antibody (FITC or PE for single color staining of nontransfected cells; APC for staining of cells transfected with GFP constructs). The cells were analyzed using a FACSCalibur or an Accuri C6 flow-cytometer (BD), using appropriate compensations. Cells were detached using a nonenzymatic solution (PAA), except for the analysis of Notch1 expression for which they were detached in 15 mM sodium citrate, 0.135 mM potassium chloride.

Analysis of Notch activity in mammalian cell lines

This analysis was performed as described previously (Moretti et al., 2010): U2OS-N1 or HeLa cells were seeded at the concentration of 25,000 cells/cm2. Silencing was performed at this step using Interferin (PolyPlus Transfection) and 3 nM siRNA according to the manufacturer’s reverse procedure. Cells were transfected 24 h later with the CSL reporter and Renilla control plasmids using FuGENE 6 (Promega). 24 h later, cells were co-cultured with OP9 or OP9-DLL1 at 35,000 cells/cm2. The activities of firefly and Renilla luciferases were determined using a Dual luciferase reporter assay (Promega) according to the manufacturer’s instructions. Statistical analysis was performed using one-way ANOVA followed by Tukey’s multiple comparison test.

Immunoprecipitation, chemical cross-linking, and biotin labeling of surface proteins

Biotin labeling of surface proteins and immunoprecipitations were performed as described previously (Charrin et al., 2001; Arduise et al., 2008). In brief, biotin-labeled or nonlabeled cells were lysed in a lysis buffer containing 30 mM Tris, pH 7.4, 150 mM NaCl, protease inhibitors, and 1% detergent (Brij 97 or digitonin). After 30 min incubation at 4°C, the insoluble material was removed by centrifugation at 10,000 g and the cell lysate was precleared by addition of heat-inactivated goat serum and protein G–Sepharose beads (GE Healthcare). Proteins were then immunoprecipitated by adding 1 µg mAb and 10 µl protein G–Sepharose beads to 200–400 µl of the lysate. The immunoprecipitated proteins were separated by SDS-PAGE under nonreducing conditions and transferred to a PVDF membrane (GE Healthcare). Western blotting on immunoprecipitates was performed using either Alexa Fluor 680–labeled 11G2 mAb or a combination of rabbit anti-GFP antibody and a secondary reagent labeled with IRDye800. Acquisition was performed using the Odyssey Infrared Imaging System (LI-COR Biosciences).

For cross-linking, HEK 293 cells were transiently transfected with HA-ADAM10 and various GFP-tagged tetraspanins. 48 h after transfection, the cells were treated with 1 mM dithiobis[succinimidyl propionate] (DSP) for 30 min at 4°C, and lysed in lysis buffer supplemented with 1% Triton X-100 and 0.2% SDS before immunoprecipitation.

Quantitative RT-PCR

Total RNA fraction was isolated from 5 × 106 cells of different cell lines using the SV Total RNA Isolation System including an on-column DNase digest (Promega) according to the manufacturer’s instructions. Subsequently, cDNA was synthesized from 5 µg of total RNA from each sample using 200 U of SuperScript III Reverse transcription (Invitrogen) primed with random hexamer (Promega). Quantitative real-time polymerase chain (QPCR) reactions were then performed in a final volume of 25 µl containing 2x Brillant II SYBR Green QPCR Master Mix from Agilent Technologies, 0.4 µM each forward and reverse primers and 62.5 µg of cDNA. Quantification was performed with the Mx3005P QPCR Systems and MxPro software from Agilent Technologies. For each cDNA sample, triplicates were analyzed and data normalized to rpl38 expression according to the ΔCt method. Most oligonucleotides were designed by primer bank (Spandidos et al., 2010). Tspan5: ACAAGGGTCCTGAAGTCAGTT and TGATGGAAGAGATGTTGGACAGA; Tspan10: CTGCGTCAAGTATCTGATCTTCC and AAGCCACGTAACAGGCAGG; Tspan14: GGCTCTGCGGGAGAATATCTG and GCACTGGTTAGCTTTCTGAAGG; Tspan15: ACTTCCTGAACGACAACATTCG and CGCCACAGCACTTGAACTTTT; Tspan17: CTGCTGCGGGAAATACTTCCT and GATGTTCGAGAGAACGCCCTT; Tspan33: CTACGCTCGGCTAATGAAGCA and TGAGCAGGAACATGAGGACAC; ADAM10: AAACACCAGCGTGCCAAAAG and CCCTCTTCATTCGTAGGTTGAAA.

Immunostainings and microscopy

Human cells were grown in complete medium for 24 h on coverslips. For comparison of surface and internal distribution of ADAM10, the cells were fixed for 30 min with 4% paraformaldehyde at room temperature, blocked for 15 min with 50 mM NH4Cl in PBS, and permeabilized or not with 0.1% Triton X-100 at 4°C for 2 min. The cells were then incubated for 1 h with 10 µg/ml of the anti-ADAM10 mAb 11G2 (IgG1) in complete DME at room temperature. For double labeling the cells were coincubated with an antibody to the ER marker PDI (IgG2a). Primary antibodies were revealed with Alexa Fluor 488– and Alexa Fluor 568–labeled goat anti–mouse IgG1 and IgG2a antibodies. The cells were mounted in Mowiol 4-88 (81381; Sigma-Aldrich) supplemented with DABCO (D2522; Sigma-Aldrich) and DAPI and examined at room temperature either with a DMR fluorescence microscope (Leica) equipped with a CoolSnap HQ2 camera (Photometrics) controlled by MetaMorph (Molecular devices), or an SP5 confocal microscope (Leica) using 63x oil objectives (NA 1.32 and 1.40, respectively).

Drosophila imaginal discs, nota, and egg chambers were dissected from staged larvae, pupae, and female flies, respectively, and stained using standard techniques. Primary antibodies used in Drosophila were: goat anti-GFP (1:500; ab5450 from Abcam), guinea pig anti-Senseless (1:3,000; a gift from H. Bellen, HHMI, Baylor College of Medicine, Houston, TX; Nolo et al., 2000), rabbit anti-dGMAP (1:1,000; a gift of P. Therond, CNRS, Nice, France; Friggi-Grelin et al., 2006), rabbit anti-dSec16 (1:200; a gift of C. Rabouille, Hubrecht Institute, Utrecht, Netherlands; Ivan et al., 2008), guinea pig anti-Ofut1 (1:1,000; a gift of K. Irvine, HHMI Rutgers University, Piscataway, NJ; Okajima et al., 2005), guinea pig anti-Lqfr (1:100; a gift of J. Fischer, University of Texas, Austin, TX; Lee et al., 2009), rat anti-Su(H) (1:2,000; Gho et al., 1996), mouse anti-NECD (C458.2H, 1:100; Developmental Studies Hybridoma Bank [DSHB]), mouse anti-Delta (C594.9B, 1:100; DSHB), mouse anti-Fas3 7G10 mAb (1:100; DSHB), mouse anti-Cut 2B10 mAb (1:500; DSHB), rat anti-Elav 7E8A10 mAb (1:100; DSHB), and rabbit anti-Myc (1:500; EMD Millipore). Secondary antibodies were from Jackson ImmunoResearch Laboratories and coupled to Cy2, Cy3, and Cy5. Atto 647N-Phalloidin (65906; Sigma-Aldrich) was used at 0.1 µM to stain F-actin. Nota and egg chambers were mounted in Mowiol 4-88 (81381; Sigma-Aldrich) containing 2.5% of DABCO (D2522; Sigma-Aldrich). Images were acquired using an SPE confocal microscope (Leica) using 20x (HCX PL APO CS, NA 0.6), 40x (HCX PL APO CS, NA 1.4), and 63x (HCX PL APO CS, N.A. 1.3) objectives. Adult flies were imaged using a Discovery V20 stereomicroscope (Carl Zeiss) using a 1.0x objective (PlanApo S FWD 60 mm).

Images were processed using ImageJ (National Institutes of Health) and Adobe Photoshop software. Categorization of the plasma membrane vs. cytoplasmic accumulation of Kuz-Myc in S2 cells, using the cell outline and the nucleus as landmarks, was performed blind after randomization of the images. To quantify the Gbe-GFP signal at stage 9–10a, the GFP signal was measured in each polar and border cell on a single confocal section running across the nucleus using ImageJ. Values were corrected by subtracting the background signal measured outside the egg chamber. For each egg chamber, mean values were calculated for the 2 polar and for the 6–10 border cells. These two mean values defined a border/polar ratio. The extent of border cell migration was measured as the percentage of migration within individual stage 10a egg chambers. To characterize the distribution of Kuz-GFP in border and polar cells, 512 × 512 images acquired at 63x (zoom 6) were thresholded and the number of “objects” >8 pixels in size were counted.

Drosophila transgenes and mutations

The kuz[k01405] (Sotillos et al., 1997), kuz[e29-4] (Pan and Rubin, 1997), and the transgenic conditional RNAi flies have been described previously: UAS-dsRNATsp3A (10742R-2 and 10742R-3; from R. Ueda, http://www.shigen.nig.ac.jp/fly/nigfly/index.jsp); 10138 and 10140 from the Vienna Drosophila Rnai Center [VDRC] (Dietzl et al., 2007); UAS-dsRNATsp86D (4591R-1 and 4591R-2 from R. Ueda; 102046, 42642, and 42643 from the VDRC); UAS-dsRNATsp26A (101473 from the VDRC); and UAS-dsRNAkuz (103555 from the VDRC). Conditional silencing was achieved using the binary UAS/GAL4 system in combination with the thermo-sensitive GAL80ts inhibitor. We used the apterous-Gal4 driver (ap-Gal4) to direct dsRNA expression in imaginal tissues giving rise to the adult dorsal thorax, and a combination of c306 and slow border (slbo) Gal4 drivers to direct dsRNA expression in border cells. (Manseau et al., 1997; Rørth et al., 1998).

The Tsp86DΔ3 deficiency that removes the Tsp86D gene was generated by Flp-FRT as described in Parks et al. (2004). The 5′- and 3′-flanking elements were the P{XP}Fdhd04974 and PBac{RB}CG6574e00293, respectively. This 9,442-nt deletion removes the CG6574, SelR, Tsp86D, and Fdh genes (Fig. S3). Breakpoints were confirmed by PCR (primers sequences available upon request).

The kuz-GFP, GFP-Tsp3A, and GFP-Tsp86D transgenes were generated by BAC recombineering in E. coli SW102 as described at http://web.ncifcrf.gov/research/brb/recombineeringInformation.aspx (Venken et al., 2006). The starting BACs were generated by Venken et al. (2009) and were obtained from BACPAC (http://bacpac.chori.org).

The CH321-04I18 BAC covering the kuz locus from −6,996 nt 5′ to the transcription start site to 3,040 nt downstream of the 3′UTR was used. PCR products corresponding to the 5′ and 3′ homology arms were produced using the following primers: Kuz5F: GACAGCAGCAAATGCAACAGCA; Kuz5Rgfp: CTTGCTCACCATTAGGACTGCATAAACGATATTTCGGCG; Kuz3Fgfp: CTGTACAAGTAAGAGCGGAACCATCACATT; and Kuz3R: CACATACTTGGTTAGTGCAGT.

The GFP cassette included an AVL linker. It was amplified using the following primers: KuzGfpF: AATATCGTTTATGCAGTCCTAATGGTGAGCAAGGGCGAG; KuzGfpR: ATGGTTCCGCTCTTACTTGTACAGCTCGTC. The BAC CH322-135L04 extended 8,002 nt 5′ to the transcription start site and 8,378 nt downstream of the 3′UTR of the Tsp3A gene. The 5′ and 3′ homology arms and the GFP cassette were PCR amplified using the following primers: 5′FN_3A: CTCAAAGGTCAGTGCCGAAACGA; 5′T3A_GFP_R: CTTGCTCACCATCCTCGCCGTTTATCTGTA; 3′T3A_GFP_F: TAAACGGCGAGGATGGTGAGCAAGGGCGAG; 3′NR_3A: CAGACGATGGCTGTTGGCGCAGACA; 5′T3A_GFP_F: TACAAGCTGCCAGCAGGAATGAGCAACTACCGATAT; and 3′T3A_GFP_R: CTCATTCCTGCTGGCAGCTTGTACAGCTCGTCCAT. The BAC CH322-137B04 extended 8,496 nt 5′ to the transcription start site and 8,733 nt downstream of the 3′UTR of the Tsp86D. The 5′ and 3′ homology arms and the GFP cassette were PCR amplified using the following primers: 5′FN_86D: GTCGCAATGTTACGCAGCGGTGGA; 5′T86D_GFP_R: CTTGCTCACCATGGCCACGCGAATGTGCAA; 3′T86D_GFP_F: TACAAGCTGCCAGCAGGAATGAGCAATCACAGATAC; 3′NR_86D: TGCAAGTCGGAGTCGTCACGGTACGA; 5′T86D_GFP_F: ATTCGCGTGGCCATGGTGAGCAAGGGCGAG; and 3′T86D_GFP_R: CTCATTCCTGCTGGCAGCTTGTACAGCTCGTCCAT.

Constructs were verified by sequencing of the recombined regions before phiC31-mediated transgenesis. The Kuz-GFP, GFP-Tsp3A, and GFP-Tsp86D BACs were inserted at the M{3xP3-RFP.attP’}ZH-51C, PBac{y[+]-attP-9A}VK00019 and PBac{y+-attP-3B}VK00002 sites (Venken et al., 2006; Bischof et al., 2007). Transgenesis was performed by BestGene, Inc.

The shmiR-Tsp3A construct was designed according to Thermo Fisher Scientific software prediction (http://www.dharmacon.com/DesignCenter). Two positions (+715 and +792) were selected on the Tsp3A cDNA (GenBank/EMBL/DDBJ accession no. NM_080315). shmiR-tsp3A-1 (CGACCTGCAGAACTTCATTGA) and shmiR-Tsp3A-2 (GGAGCAAAAACGAGTACTTCA) knockdown oligonucleotides were modified to mimic the native D. melanogaster premiR-1 structure. The resultant shmiR-Tsp3A construct had mismatched bases at positions +2 and +11 as described in Haley et al. (2008).The shmiR-Tsp3A-1 (CTAGCAGTCGACCTGCAGTACTTCATTCATAGTTATATTCAAGCATATCAATGAAGTTCTGCAGGTCGGCG) and shmiR-Tsp3A-2 (CTAGCAGTGGAGCAAAAAGGAGTACTTGATAGTTATATTCAAGCATATGAAGTACTCGTTTTTGCTCCGCG) oligonucleotides were inserted into the HindIII–BamHI cloning sites of pHB (Haley et al., 2008). The resulting plasmids were used to generate transgenic flies using P-element transformation (BestGene, Inc.). The M[3xP3-RFP, NRE-pGR]86Fb was provided by S. Bray (University of Cambridge, Cambridge, England, UK; Housden et al., 2012). A detailed description of all genotypes is provided in Table S1.

Online supplemental material

Fig. S1 shows that TspanC8 tetraspanins represent an evolutionary conserved subfamily of tetraspanins. Fig. S2 shows genetic tools used in Drosophila studies. Fig. S3 shows functional redundancy between Drosophila Tsp86D, Tsp26A, and Tsp3A. Fig. S4 shows the effect of TspanC8 tetraspanins on ADAM17 surface expression and codistribution of Tspan10 and Tspan17 with CD63. Fig. S5 shows efficient and specific silencing of Tsp3A and Tsp86D in border cells. Table S1 provides a description of Drosophila genotypes.

We thank H. Bellen, S. Bray, C. Brou, R. Chance, J. Fischer, B. Haley, K. Irvine, T. Lieber, M. Martin-Bermudo, C. Rabouille, C. Saleh, P. Therond, M. Young, and the Bloomington Drosophila Stock Center, the Drosophila Genomics Resource Center, and Flybase for cells, antibodies, DNA, flies and other resources. Special thanks to R. Ueda and the National Institute of Genetics (Mishima, Japan), who kindly made available to us a collection of UAS-dsRNA transgenic lines. The 7G10, 2B10, 7E8A10 C458.2H, and C594.9B mAbs developed by G.M. Rubin, C. Goodman, and S. Artavanis-Tsakonas were obtained from the Developmental Studies Hybridoma Bank developed under the auspices of the NICHD and maintained by the University of Iowa, Department of Biology, Iowa City, IA 52242. We thank S. Leullier, L. Couturier, and the Drosophila RNAi Screening Platform for screening. We thank D. Clay for expert assistance in cell sorting and J. Chaker and M. Reyngoud for technical assistance. We are very grateful to R. Le Borgne for scientific discussions. We thank F. Bernard and all members of our laboratories for discussions and critical reading.

This work was funded by core funding from the INSERM, CNRS, and Institut Pasteur as well as by specific grants from the Association pour la Recherche sur le Cancer (to E. Rubinstein), NRB-Vaincre le Cancer (to E. Rubinstein), Institut du Cancer et d’Immunogénétique (to E. Rubinstein), Agence Nationale de la Recherche (05-BLAN-277 to F. Schweisguth), and Fondation pour la Recherche Médicale (DEQ20100318284 to F. Schweisguth). E. Dornier and J.-F. Ottavi were recipients of fellowships from the French ministry of Research. E. Dornier also received a fellowship from the Association pour la Recherche sur le Cancer and J.F. Ottavi from NRB-Vaincre le Cancer.

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Abbreviations used in this paper:
ADAM

a disintegrin and metalloprotease

Ig

immunoglobulin

LNR

Lin12-Notch repeat

NICD

notch intracellular domain

PDI

protein disulfide isomerise

SOP

sensory organ precursor cell

Author notes

E. Dornier, F. Coumailleau, and J.-F. Ottavi contributed equally to this paper.

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