Article

  • The EMBO Journal (2007) 26, 1702 - 1712
  • doi:10.1038/sj.emboj.7601616

Published online: 1 March 2007

GxxxG motifs within the amyloid precursor protein transmembrane sequence are critical for the etiology of Abold beta42

Lisa-Marie Munter1, Philipp Voigt2, Anja Harmeier1, Daniela Kaden1, Kay E Gottschalk3, Christoph Weise1, Rüdiger Pipkorn4, Michael Schaefer2, Dieter Langosch5 and Gerd Multhaup1

  1. Institut für Chemie und Biochemie, Freie Universität Berlin, Berlin, Germany
  2. Institut für Pharmakologie, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
  3. Chair for Applied Physics, Biophysics and Molecular Materials, Ludwig-Maximilians Universität München, München, Germany
  4. German Cancer Research Center (DKFZ), Heidelberg, Germany
  5. Lehrstuhl Chemie der Biopolymere, Technische Universität München, Freising, Germany

Correspondence to:

Gerd Multhaup, Institut für Chemie und Biochemie, Freie Universität Berlin, Thielallee 63, 14195 Berlin, Germany. Tel.: +49 30 838 55533; Fax: +49 30 838 56509; E-mail: multhaup@chemie.fu-berlin.de

Received 2 August 2006; Accepted 29 January 2007


Processing of the amyloid precursor protein (APP) by beta- and gamma-secretases leads to the generation of amyloid-beta (Abeta) peptides with varying lengths. Particularly Abeta42 contributes to cytotoxicity and amyloid accumulation in Alzheimer's disease (AD). However, the precise molecular mechanism of Abeta42 generation has remained unclear. Here, we show that an amino-acid motif GxxxG within the APP transmembrane sequence (TMS) has regulatory impact on the Abeta species produced. In a neuronal cell system, mutations of glycine residues G29 and G33 of the GxxxG motif gradually attenuate the TMS dimerization strength, specifically reduce the formation of Abeta42, leave the level of Abeta40 unaffected, but increase Abeta38 and shorter Abeta species. We show that glycine residues G29 and G33 are part of a dimerization site within the TMS, but do not impair oligomerization of the APP ectodomain. We conclude that gamma-secretase cleavages of APP are intimately linked to the dimerization strength of the substrate TMS. The results demonstrate that dimerization of APP TMS is a risk factor for AD due to facilitating Abeta42 production.


  • Keywords:

    • amyloid Abeta,
    • amyloid precursor protein (APP),
    • dimerization,
    • GxxxG,
    • secretase

Introduction

Top

Amyloid precursor protein (APP) is a type I transmembrane (TM) protein, which undergoes proteolytic processing by several secretases (Annaert and De Strooper, 2002). First, the bulk of the ectodomain needs to be removed by membrane-bound alpha- or beta-secretases, leading to secreted forms of APP and membrane-bound C-terminal fragments alpha-CTF or beta-CTF, respectively (Vassar et al, 1999; Annaert and De Strooper, 2002). Regulated intramembrane proteolysis (RIP) of the beta-CTF by gamma-secretase occurs only after ectodomain shedding and releases the amyloid-beta (Abeta) peptide from the membrane. The active gamma-secretase complex consists of the four subunits presenilin-1 (PS-1) (Rogaev et al, 1995), APH-1, PEN-2 and nicastrin (Edbauer et al, 2003). PS-1 contains two catalytically active aspartates in TM sequence (TMS)-6 and TMS-7 (Wolfe et al, 1999). PS-1 is endoproteolytically cleaved (Thinakaran et al, 1996) and the N- and C-terminal fragments were shown to exist as dimers in the catalytic core of gamma-secretase (Cervantes et al, 2001, 2004; Schroeter et al, 2003). The amino termini of CTF stubs are recognized by nicastrin, which functions as a gamma-secretase substrate receptor (Shah et al, 2005). The gamma-secretase has been reported to cleave at variable sites, thus generating Abeta peptides of varying lengths (Qi-Takahara et al, 2005; Zhao et al, 2005). Abeta42 peptides are the pathologically most relevant form, as they form the core of amyloid plaques in the brains of Alzheimer's disease (AD) patients (Iwatsubo et al, 1994). AD patients with inherited mutations in PS-1 and APP show enhanced Abeta42 generation (Borchelt et al, 1996; Scheuner et al, 1996). Abeta42 is more prone to aggregation than Abeta40 (Jarrett and Lansbury, 1993; Schmechel et al, 2003), and in animal models low levels of Abeta42 result in amyloid plaque pathology even when total Abeta levels are reduced but the Abeta42/Abeta40 ratio is increased (McGowan et al, 2005; Wang et al, 2006). Although distinct oligomeric structures are discussed to be neurotoxic (Bitan et al, 2003; Chen and Glabe, 2006), factors that regulate the cleavage mechanism of the gamma-secretase and determine the level of Abeta42 have largely remained unknown.

Recently, an explanation for the multiple cleavages of gamma-secretase was provided, indicating a sequential proteolytic cleavage mechanism to release Abeta (Qi-Takahara et al, 2005; Zhao et al, 2005). Accordingly, the first cut occurs at the cytoplasmic edge of the TMS at the alt epsilon-site, that is, residue 49 or 48 of beta-CTF (Sastre et al, 2001; Weidemann et al, 2002). The products Abeta49/Abeta48 remain membrane bound and are further processed in a sequential mode into Abeta46/Abeta45, that is, the zeta-site (Zhao et al, 2004). Abeta46 is further processed into Abeta43 and finally Abeta40, whereas Abeta45 is the direct precursor of Abeta42 (Qi-Takahara et al, 2005; Zhao et al, 2005). Notch was recently reported to be processed by gamma-secretase in a very similar action mode (Chandu et al, 2006). Certain non-steroidal anti-inflammatory drugs (NSAIDS) were found to modulate the gamma-secretase cleavage, either to longer or shorter forms of Abeta, when added to a cell culture system or in mice models. For example, fenofibrate was found to raise Abeta42 and to lower Abeta38 levels (Kukar et al, 2005), whereas ibuprofen had the inverse effect (Weggen et al, 2001) and Abeta40 remained unaffected. This indicates an inverse regulation of Abeta production between longer and shorter Abeta forms with Abeta42 and Abeta38 being the most prominent forms. The underlying mechanism for this regulation is uncertain, but alterations in Abeta production may be reflected by the dynamic nature of the substrate and/or altered enzyme/substrate interactions (Eriksen et al, 2003; Weggen et al, 2003).

We and others have previously shown that APP, amyloid precursor like proteins (APLPs) and other substrates of the gamma-secretase, for example, ErbB-4 and E-cadherin can form homodimers (Beher et al, 1996; Rossjohn et al, 1999; Ferguson et al, 2000; Scheuermann et al, 2001; Marambaud et al, 2002; Wang and Ha, 2004; Soba et al, 2006). APP homodimerization is likely to be mediated by two different sites of the ectodomain, the loop region encompassing residues 91–111 and a second site overlapping with the collagen binding site spanning residues 448–465 (Beher et al, 1996; Rossjohn et al, 1999; Scheuermann et al, 2001; Wang and Ha, 2004).

By further studying homodimerization of APP, we found that the TMS of APP contains three consecutive GxxxG motifs encompassing residues 621–633 of APP695 or Abeta residues 25–37. GxxxG motifs are known to mediate TM helix–helix interactions within the membrane (Brosig and Langosch, 1998; Russ and Engelman, 2000; Senes et al, 2004). In the gamma-secretase substrate beta-CTF, effects of GxxxG mutations could be independent of the dimerization sites within the APP ectodomain.

In this study, we investigated the function of the APP GxxxG motifs by analyzing the effect on (1) APP–APP interactions of yellow fluorescent protein (YFP)- and cyan fluorescent protein (CFP)-tagged full-length proteins, (2) the dimerization strength of the TMS and (3) APP processing. We show that the consecutive GxxxG motifs provide a third dimerization site of APP and that this site within the membrane is secondary to the two sites of the ectodomain. Most importantly, GxxxG mutations destabilizing the dimerization strength determine the gamma-secretase cleavage sites. We demonstrate an inverse generation of Abeta42 and Abeta38 levels that can be regulated by concerted mutations within the APP TMS itself and the generation of the shorter species Abeta37, Abeta35 and Abeta34. Finally, we present a model mechanism for gamma-secretase cleavages on APP TMS based on our findings. We hypothesize that dimerization of APP TMS facilitates Abeta42 generation and is thus central to the onset of AD.

APP TMS dimerizes via the GxxxG motifs

To selectively analyze the ability of the GxxxG motifs as part of the TMS to promote helix self-interaction, we applied the ToxR system (Langosch et al, 1996; Russ and Engelman, 1999). This assay allows to measure the mutual affinity of short TMSs as monitored by transcription activation of a reporter gene. To this end, the APP TMS and several point mutants were expressed in the context of membrane-anchored chimeric proteins composed of the extracellularly located maltose binding protein (MBP), the TMS under study and the intracellular ToxR transcription activator protein. In this assay, the dimerization of the TMS under study is required for transcription activation and its strength is reported by beta-galactosidase activity. TMS residues Abeta 29–42 gave a strong signal similar to that obtained with residues 75–87 of glycophorin A (GpA) (Figure 1A and B), a well-investigated self-interacting TMS (Langosch et al, 1996). Dimerization strength was gradually reduced from Abeta TMS mutant constructs G29A and G33A to mutation G29/33A and was abolished by the mutation G33I (Figure 1B). The mutants G37A and G38A distal to the central GxxxG motif did not cause any effects. The influence of the juxtamembrane residue G25 could not be measured by this system as only TMS sequences can be analyzed. To separate the effects of APP TMS dimerization from other structural changes, we analyzed the impact of the mutations I31V, I32V and L34A centered around glycine G33. None of these mutants was able to reduce the dimerization strength of the TMS (Figure 1B). Thus, we conclude that the GxxxG motif determines the association of Abeta TMS, with G29 and G33 being the key residues. The differences between the double mutation G29/33A and mutation G33I might directly reflect the varying affinities of the two helices. While the mutation G29/33A might still allow the two TMS to approximate each other, stabilizing van der Waals bonding could occur. In contrast, the branched amino acid isoleucine then prevents this approximation and thus abolishes dimerization. To exclude the possibility that the observed differences in transcription activation are due to differences in efficiencies of membrane integration, we determined the ability of the ToxR proteins to complement the MBP deficiency of the Escherichia coli deletion strain PD28 (Supplementary Figure 1A). Furthermore, we analyzed protein expression by Western blotting of total cell lysates to ensure equal expression levels (Supplementary Figure 1B). Thus, we generated a set of GxxxG mutations and appropriate controls with which we were able to gradually reduce the dimerization strength of the APP TMS.

Figure 1.

Figure 1 :

The APP TMS dimerizes via the G29xxxG33 motif. (A) Sequence of the APP TMS. Yellow box marks membrane-embedded amino-acid residues. The three consecutive GxxxG motifs extending into the TMS are highlighted in bold, and Abeta numbering is indicated for the glycine residues. Scissors represent the main cleavage sites of gamma-secretase, for example, the alt epsilon-, zeta- and gamma-cleavages at positions 49, 46, 42, 40 and 38. (B) ToxR assay. APP TMS residues 29-42 were analyzed. Measured beta-galactosidase activity of the wt sequence was set as 100% (meanplusminuss.e.m., n=4–6). Mutations to alanine at position G29 and especially G33 reduce dimerization strength. The double mutant G29/33A enhances the disrupting effects of the single mutants and G33I severely impairs dimerization. Non-glycine mutants and G37A and G38A do not impair dimerization strength. Asterisks indicate significant differences to Abeta29–42wt (*P<0.01, **P<0.0001, Student's t-test). (C, D) Structural model of dimeric APP TMS encompassing residues 25-46 with a low-energy conformation. (C) View down the dimer axis showing the close proximity of G29/G33. (D) View along the dimer interface highlighting G25, G29, G33, G37, G38 and A42. G29 and G33 are closely packed and form the core of the helix–helix interface.

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A helix–helix interface with G29 and G33 is conformationally favored

In order to test whether a helix–helix interaction through the GxxxG motif is energetically and conformationally favored, we performed a computational search of conformations of Abeta residues 25–46. We observed a low-energy conformation with a right-handed crossing angle and all four glycine residues of the three consecutive GxxxG motifs at the helix–helix interface (Figure 1C and D). According to this model, residues G29 and G33 constitute the core of the interface, with Calpha–Calpha distances of less than 5 Å for each pair compared with the distances of G25 (6.7 Å) and G37 (5.7 Å). This computational model supports the data obtained from the ToxR assay, indicating that the TMS of APP can adopt a dimeric state with G29 and G33 being the key mediators of dimerization.

Impact of the GxxxG motifs on APP homodimerization

To examine whether APP full-length dimerization also depends on the GxxxG motif, we used a fluorescence resonance energy transfer (FRET) approach (Figure 2). C-terminally YFP-tagged full-length APP695 wild-type (wt) or mutant constructs G33A, G33I or G29/33A showed identical patterns of subcellular distribution (Figure 2A). In living cells, a FRET efficiency of 11% was obtained for APPwt-YFP and APPwt-CFP (Figure 2B–E). FRET signals originated from specific interactions between APP molecules, because FRET efficiencies were concentration-dependently reduced upon coexpression of non-fluorescent APPwt-Flag and negligible for coexpression of APP-YFP with a colocalized membrane protein (EGFR-CFP; Figure 2B). Thus, these data demonstrate homodimerization of APP in living higher eukaryotic cells for the first time. FRET efficiencies for APP G33A, APP G29/33A and APP G33I were all similar to the wt (Figure 2C). We conclude that a disturbance of the GxxxG motif does not necessarily influence full-length APP homodimerization and that GxxxG-mediated interactions may be crucial only for beta- or alpha-secretase cleavage products of APP (Kaden et al, manuscript in preparation).

Figure 2.

Figure 2 :

APP full-length dimerization. (A) Confocal microscopy images of APPwt-YFP and APP-YFP mutants show equal subcellular localization in HEK 293 cells. Bars, 10 mum. (B) FRET approach: competition of fluorescent APPwt dimer formation with increasing amounts of APPwt-Flag (meansplusminuss.e.m., n=4 with 3–6 cells each). As a negative control, APPwt-YFP does not interact with EGFR-CFP. (C) FRET efficiencies of wt and mutant APP (meansplusminuss.e.m., n=5 evaluated in quadruplicate). GxxxG mutants do not affect FRET efficiencies, whereas the mutant L17C forms covalent disulfide-bridged dimers and increases FRET efficiency significantly, *P<0.0001 Student's t-test. Note that APPwt FRET efficiency in (B) is lower compared with (C) owing to lower amounts of transfected plasmids. (D) Time course of donor fluorescence recovery (DeltaFCFP) during selective photobleaching of the acceptor (FYFP). Data represent single cell (gray lines) and mean fluorescence traces (black lines) of a representative cell group. (E) Linear regression analysis of donor recovery (DeltaFCFP) versus fractional acceptor (YFP) photobleach. Depicted is the mean of single cells from a representative experiment shown in (C).

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To estimate the extent of APP dimerization, we determined the FRET efficiency for the mutation APP L17C that constitutively formed disulfide-linked dimers (Figure 3C) and showed a subcellular distribution comparable to the wt (Figure 2A). The FRET efficiency was increased by about 7% compared with APPwt (Figure 2C). Densitometric analysis of Western blots (see Figure 3C for a representative blot) showed that covalent dimers account for about 30% of total APP L17C. Assuming that the relative orientation of CFP and YFP is unchanged in covalent dimers, we estimate that the increase in FRET efficiency by 7% correlates to an increased dimerization of about 30%. Accordingly, it may be inferred from the APPwt FRET efficiency that approximately half of the APPwt molecules are homodimeric complexes. Thus, a significant portion of APPwt may be present in a dimeric conformation in living cells.

Figure 3.

Figure 3 :

Expression and processing of APP and SPA4CT in transfected SH-SY5Y cells. (A) Schematic representation of the processing of APP and beta-CTF derived from the construct SPA4CT. SP: signal peptide; loop: loop region residues 91–111; CBP: collagen binding site residues 448–465; Abeta: Abeta domain, part of the ectodomain and the TMS; alpha- or beta-secretase cleaves within the juxtamembrane region to generate soluble APP (sAPPalpha or sAPPbeta, respectively) and C-terminal fragments (alpha-CTF or beta-CTF, respectively). gamma-Secretase cleaves beta-CTF within the membrane and generates the C-terminal end of Abeta peptides. (B) Western blot analysis of APP-transfected cells. Several lanes were mirrored to adjust figure labels indicated by bars. Antibody 22C11 was used to detect full-length APP (APP). Antibody W0-2 (epitope Abeta residues 5–8) was used to label immunoprecipitated Abeta (Abeta). Note that antibody W0-2 captures Abeta species with varying C termini, showing that all APP mutants generate equal levels of total Abeta. (C) Western blot analysis of APP L17C-transfected cells. APP L17C forms covalent S–S-bridged APP dimers (antibody 22C11), which can be reduced by the addition of beta-mercaptoethanol (MCE). Densitometric analysis of the dimer revealed that approximately 30% of APP L17C is dimeric. This mutant is processed to dimeric, S–S-linked Abeta peptides (antibody W0-2). (D) Quantification of sAPPalpha by ELISA. sAPPalpha from conditioned media of APP-transfected cells was captured using an anti-Myc antibody and detected by biotinylated W0-2. Single alanine mutations do not alter sAPPalpha levels, whereas G33I shows a nonsignificant increase of sAPPalpha. L17C yields a 53% reduction in sAPPalpha. The wt was set as 100% (meansplusminuss.e.m., n=5–7). (E) Western blot analysis of SPA4CT-transfected cells. Expression control of immunoprecipitated beta-CTF and immunoprecipitated Abeta. Western blots were probed with antibody W0-2. Lanes showing Abeta of G29/33A and G33I were mirrored for better illustration.

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To investigate the dimerization properties of APP-CTF, we expressed the mutant constructs L17C and L17C/G33I in transiently transfected SH-SY5Y cells. The analysis by Western blot revealed that both proteins constitutively formed disulfide-linked dimers, but L17C/G33I showed a decreased dimer formation of about 25% (Supplementary Figure 2D).

GxxxG mutations do not impair cleavage efficiency

We next examined whether the GxxxG mutations alter APP processing and generation of Abeta. SH-SY5Y cells stably expressing APP695wt or mutants G25A, G29A, G33A, G29/33A or G33I, or transiently expressing mutants I31V, I32V, L34A and L17C were generated. To avoid any influence of the APP ectodomain dimerization sites, we also stably transfected SH-SY5Y cells with signal-peptide-A4CT fragment (SPA4CT) (Dyrks et al, 1992). This construct releases beta-CTF (A4CT) after cleavage of the signal peptide (SP) and is thus independent from alpha- or beta-secretase cleavages (Figure 3A). All mutant constructs showed similar subcellular distribution patterns determined by immunofluorescence analysis (Supplementary Figure 2A and B). For all cell lines, similar levels of corresponding analytes were observed by Western blots, that is, full-length APP and Abeta from APP- and SPA4CT-transfected cells (Figure 3B, C and E and Supplementary Figure 2C). Note that total secreted Abeta levels are unchanged.

In addition, we quantified the sAPPalpha (secreted APP ectodomain alpha) levels in a sandwich enzyme-linked immunosorbent assay (ELISA) to detect possible effects of GxxxG mutants on alpha- or beta-secretase cleavage activities (Figure 3D). There was no change in sAPPalpha levels for all single alanine mutants and I31V and I32V compared with the wt sequence. Solely, the mutants G29/33A and G33I showed a slight increase of sAPPalpha of about 5 and 14%, which is negligible compared with the effects on Abeta levels (see below and results shown in Figure 4). Thus, single alanine GxxxG mutations neither affected shedding by alpha- or beta-secretases nor interfered with maturation and surface expression of APP as analyzed by Western blots. The mutant L17C produced 47% less sAPPalpha compared with the wt. Western blot analysis of this mutant revealed the presence of APP and Abeta dimers under non-reducing conditions and the amount of total Abeta generated remained comparable with the wt (Figure 3C).

Figure 4.

Figure 4 :

Disturbed GxxxG motifs reduce Abeta42 and increase Abeta38 levels. (A–C) Abeta40-, Abeta42- and Abeta38-specific ELISAs, respectively, with Abeta precipitated from media of stably APP-transfected SH-SY5Y cells. (D–F) Abeta40-, Abeta42- and Abeta38-specific ELISAs, respectively, with Abeta precipitated from media of stably SPA4CT-transfected SH-SY5Y cells. (A, B, D and E) The wt was set as 100% (meansplusminuss.e.m., n=3–5). Asterisks indicate significant differences to wt (*P<0.01 and **P<0.0001, Student's t-test). Single alanine mutants do not affect Abeta40 levels, but reduce the Abeta42 level significantly. The mutations G29/33A and G33I reduce Abeta40 as well as Abeta42 levels. The mutations G37A and G38A could not be analyzed by ELISA as the mutations altered epitope recognition by the monoclonal antibodies specific for Abeta40 or Abeta42. (C, F) The mutant G29/33A was set as 100% in Abeta38 ELISAs (meansplusminuss.e.m., n=3–5). Asterisks indicate significant differences to G29/33A (*P<0.01 and **P<0.0001, Student's t-test). GxxxG motif-disturbing mutations gradually increase Abeta38 levels depending on the individual glycine substitution. (G, H) Abeta40- and Abeta42-specific ELISAs from transiently or stably transfected SH-SY5Y cells. The wt was set as 100% (meansplusminuss.e.m., n=3–9). Non-glycine mutants do not affect Abeta40 or Abeta42 levels. Mutant L17C specifically increased Abeta42 levels by approx36%.

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GxxxG mutations reduce Abeta42 levels and increase Abeta38 levels

We quantified the levels of different Abeta species by the ELISA using monoclonal antibodies specific for Abeta42, Abeta40 and Abeta38. Strikingly, we observed significant differences in Abeta levels between the GxxxG mutants compared with the wt sequence. Whereas the single alanine mutants G25A, G29A and G33A did not show altered Abeta40 levels, Abeta42 was significantly reduced by 28, 67 and 60%, respectively, compared with cell lines expressing APPwt (wt set as 100%; Figure 4A and B). As the G25A mutant significantly reduced Abeta42 levels, this extracellular juxtamembrane position appears to be part of an extended GxxxG dimerization motif. For the double mutant G29/33A, Abeta40 generation was slightly reduced and the Abeta42 level dropped to the background of mock-transfected cells. The generation of Abeta40 or Abeta42 was abolished for the mutant G33I (Figure 4A and B).

Although the amount of total Abeta levels remained constant for all mutations as indicated by Western blots (Figure 3B and E), we suspected shorter Abeta species to be produced at the expense of longer forms of Abeta, which comigrated with Abeta42 and Abeta40. First, we determined the level of Abeta38 by ELISA and found an increase of Abeta38, whereas Abeta42 levels were decreased (Figure 4C). The mutations G29/33A and G33I showed the highest amount of Abeta38 produced (mutation G29/33A was set as 100%) corresponding to their abolished Abeta42 generation and reduced Abeta40 levels. The single mutants G29A and G33A reduced Abeta42 levels and increased Abeta38 secretion to a similar extent, whereas in the ToxR assay, G33A attenuated dimerization of the TMS more efficiently than G29A (Figure 1B). This slight variation from the consistency between effects on dimerization and Abeta production of these GxxxG mutants is most likely due to the position of bacterial membrane insertion of Abeta residues 29–42 with G29 located at the boundary of the constructs used in the ToxR assay (Figure 1B). Note that the mutant G33I led to decreased Abeta38 levels compared with G29/33A (Figure 4C), which is in favor of detection of increasing amounts of even shorter Abeta species (see MALDI-MS analysis; Figure 5).

Figure 5.

Figure 5 :

MALDI-MS spectra of secreted Abeta from APPwt- or mutant-transfected cells. Note that each alanine substitution leads to a unique mass shift of 14 Da, the G33I mutant increases by 56 Da and L34A mutant decreases by 42 Da. External calibration yielded standard deviations of less than 250 p.p.m. (A) Mass spectra showing Abeta peptides corresponding to Abeta34 (calculated monoisotopic mass 3785.9) and Abeta35 (calculated monoisotopic mass 3916.9). Note that for the wt sequence and L34A, Abeta34 and Abeta35, signals were barely above the background noise. In contrast, the relative amount of Abeta34 is significantly increased for all GxxxG mutants compared with the wt. The generation of Abeta35 is also increased except for the mutant G33I. (B) Mass spectra showing Abeta peptides corresponding to Abeta37 and Abeta40. Calculated monoisotopic mass for Abeta37: 4073.0, Abeta38: 4130.0, Abeta39: 4229.0 and Abeta40: 4328.2. The GxxxG mutants show increased Abeta37 and Abeta38 peak intensities compared with Abeta40 peaks, whereas Abeta39 remains stable. The mutant G33I generates only little Abeta40 and high amounts of Abeta38 and Abeta37. Non-glycine mutant L34A shows an Abeta pattern similar to the wt. Note that mass shifts are due to the amino-acid substitutions of the mutants, thus allowing to differentiate between Abeta40 from GxxxG mutants and minor amounts of endogenous sources as indicated by arrows. (C) Mass spectra showing Abeta42. The calculated monoisotopic mass for Abeta42 is 4512.3. Abeta42* represents the sodium adduct of Abeta42. The mutants G29/33A and G33I generated only negligible amounts of Abeta42, whereas Abeta42 of L34A was easily detected. The mass shifts are due to the amino-acid substitutions.

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To investigate whether the altered quantity of Abeta species depends on altered dimerization strength or a possible structural effect, we have performed ELISAs to quantify Abeta40 and Abeta42 produced from I31V, I32V and L34A. As shown in Figure 4G and H, none of the mutants significantly affected Abeta40 or Abeta42 production in either direction.

To reverse the effects of the GxxxG mutants, we have also analyzed the engineered APP dimer L17C. This mutant produced 136% of Abeta42 and 100% of Abeta40 (Figure 4G and H). The specific increase of Abeta42 production without affecting Abeta40 levels confirms the effects of G29A and G33A mutants, which attenuated dimerization and decreased Abeta42 levels, but also left Abeta40 levels unimpaired.

Effects of GxxxG mutants on Abeta production are independent of the APP ectodomain

To exclude any influence of the beta-secretase or of the APP ectodomain on Abeta generation caused by the APP GxxxG mutants, we analyzed Abeta of SH-SY5Y cells stably transfected with SPA4CT. We quantified levels of Abeta38, Abeta40 and Abeta42 by ELISA and obtained very similar results as those for the corresponding Abeta38, Abeta40 and Abeta42 levels of APP-transfected cells (Figure 4D–F). This indicates that the effect of the GxxxG motifs on Abeta production is independent of the APP ectodomain and beta-secretase cleavage. Rather the GxxxG motif mutants specifically affect the gamma-secretase cleavage mechanism, which is particularly evident from the single alanine mutants (Figures 3 and 4 and Supplementary Figure 2C).

Thus, we conclude that there is an inter-relationship between TMS dimerization and the production of shorter Abeta species including the inverse production of Abeta42 and Abeta38. The gradually decreasing or increasing levels of Abeta42 and Abeta38 clearly depend on the individual glycine substitutions and can be attributed to conservative or non-conservative mutations. Also, conservative or non-conservative mutations decide if Abeta40 production is additionally affected or not. The data indicate that Abeta38 production is intimately linked to the dimerization strength of the TMS–TMS interaction as indicated by the ToxR assay.

GxxxG mutants increase Abeta37 and Abeta35/Abeta34 levels

To gain further information about the cleavage sites of gamma-secretase following the production of Abeta38, we used MALDI-MS analysis. Abeta from conditioned media of APP-transfected cells was immunoprecipitated with the monoclonal antibody W0-2, which recognizes amino-acid residues Abeta5–8 (Figure 5). Note that the mass shift of Abeta peaks of GxxxG mutants is due to the individual amino-acid substitutions.

The increase of Abeta38 and the concomitant decrease of Abeta42, as shown by ELISA, were confirmed by the relative intensities of the corresponding mass peaks (Figure 5B and C). Abeta42 was hardly detected by MS from G29/33A and G33I mutants, in agreement with the ELISA results (Figure 5C). In addition to increased Abeta38 generation, MS analysis revealed a gradual increase of Abeta37 peak intensities for those GxxxG mutants that strongly disrupted helix–helix interactions (Figure 5B). The mutant G33I primarily generated Abeta38 and Abeta37 in considerable amounts and little amounts of Abeta40. Abeta42 generated was below the detection limit (Figure 5B and C). This indicates that for G33I the gamma-secretase products Abeta40 and Abeta42 might act as intermediate species and may easily be further processed into shorter forms. We further detected the shorter Abeta species Abeta35 and Abeta34, which are hardly generated from the wt (Figure 5A). Interestingly, Abeta34 was produced from all GxxxG mutants analyzed. Abeta35 was derived from all GxxxG mutants except the G33I mutant. The cleavage patterns of the non-glycine Abeta mutants were very similar to the wt as exemplarily shown by the spectrum of L34A in Figure 5.

Taken together, the GxxxG mutants not only modulate Abeta42, Abeta40 and Abeta38 levels, but also promote further processing of Abeta into several shorter species, for example, Abeta37, Abeta35 and Abeta34.

Discussion

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To gain more insight into the importance and the role of the TMS of APP in amyloid Abeta production, we used site-directed mutagenesis to study the role of the GxxxG motifs in the TM segment. GxxxG motifs can have essential functions in the homo- and heterodimerization of a number of TM proteins. This motif forms the basis for helix–helix interactions of which GpA is the best-characterized model protein (Brosig and Langosch, 1998; Russ and Engelman, 2000; Senes et al, 2004). Mutations usually lead to impaired protein functions, such as for the Helicobacter pylori vacuolating toxin, the yeast ATP synthase, the ATP-binding cassette transporters (ABCG2), the copper-uptake transporter CTR, the yeast alpha-factor receptor STE2 and the peroxin Pex14p (Arselin et al, 2003; McClain et al, 2003; Overton et al, 2003; Aller et al, 2004; Polgar et al, 2004; Itoh and Fujiki, 2006).

Our analyses demonstrate that the G29xxxG33 motif in APP plays an important role in the dimerization of APP TMS and the processing of beta-CTF into Abeta by the gamma-secretase complex. Interestingly, a GxxxG motif has a critical role in the assembly of the gamma-secretase complex. In Caenorhabditis elegans, a point mutation of the first GxxxG motif in TMS-4 of APH-1 (G123D) leads to a loss-of-function anterior pharynx-defective (Aph) phenotype (Goutte et al, 2002). The corresponding mutation in mammalian APH-1 disrupts gamma-secretase complex assembly and reduces proteolytic activity (Lee et al, 2004). Thus, we propose that the GxxxG motif might also be required to support the interaction of APP with other proteins within the gamma-secretase complex.

Based on a FRET approach, our results provide evidence that APP forms dimers in living cells. Similar to APP, other gamma-secretase substrates, which have a single GxxxG motif in their TMS, were described to form full-length homodimers such as ErbB-4, E-cadherin, Nectin-1 and APLP-1 (Ferguson et al, 2000; Miyahara et al, 2000; Troyanovsky et al, 2003; Soba et al, 2006).

Furthermore, our work shows that the APP TMS can form homodimers and that the interaction is primarily mediated by the crucial glycine residues G29 and G33 of the three consecutive GxxxG motifs similar to the TMS of E-cadherin, ErbB-receptors and Notch (Huber et al, 1999; Mendrola et al, 2002; Vooijs et al, 2004). We demonstrate that dimeric (wt) as well as dimer-impaired substrates, that is, the mutant G33I, are utilized equally well as substrates by the gamma-secretase, as we observed equal levels of total Abeta. It has previously been published that the gamma-secretase complex contains two PS-1 molecules and therefore possesses two catalytically active sites (Cervantes et al, 2001, 2004; Schroeter et al, 2003). Thus, it is conceivable that the gamma-secretase complex can cleave dimeric substrates, which might yield two different product lines, that is, encompassing Abeta42, 38, 35 and Abeta40, 37, 34. Thus, our data contradict a previous study, that suggested that dimeric substrates cannot be cleaved by gamma-secretase (Struhl and Adachi, 2000). The authors used chimeric constructs to claim that dimeric gamma-secretase substrates cannot be processed. However, as they do not provide biochemical evidence that the chimeras dimerize and do not affect recognition or binding sites of gamma-secretase, their conclusion was rather of indirect evidence and possibly invalid (Struhl and Adachi, 2000). Meanwhile, Sardi et al (2006) reported that ErbB4 is cleaved by gamma-secretase upon neuregulin stimulation. Neuregulin has been known to induce dimerization of ErbB4, which was required for gamma-secretase cleavage according to the authors either as a homodimer or an ErbB4/2 heterodimer.

Our results establish a crucial functional role of the GxxxG motifs in APP processing through the gamma-secretase complex. For GxxxG mutants, we observed an inverse relationship between Abeta42 and Abeta38 generation. Abeta40 levels remained unaffected except for the mutants G29/33A and G33I, which may adversely affect the helix-packing capacity of APP TMS to a greater extent. Of the two glycine residues G29 and G33, our data support a more critical role of residue G33, which relative to G29 is located more toward the center of the TM helix of APP. Substitution of G33 by a bulkier residue, that is, isoleucine, was deleterious for the stability of the APP TMS. A more conservative mutation of G33 into alanine did not have such a pronounced adverse effect. Although the steady-state levels of Abeta40 appeared not to be as significantly reduced by single Ala mutations of G29 or G33, we observed that the processing into Abeta42 was clearly compromised in G29A and G33A mutants. Specifically, we demonstrated that the APP TMS bearing the mutation G33I was less able to support the dimerization of APP TMS and that cells harboring this mutant in APP or beta-CTF displayed a reduced capacity to produce Abeta42 and Abeta40 compared with the wt proteins. To exclude the possibility that structural changes of residues within the TMS could have an influence on recognition and cleavage by the gamma-secretase, we have analyzed single point mutations neighboring the key glycine residue 33, that is, I31V, I32V and L34A. These results indicate that TMS dimerization directly alters gamma-secretase processing rather than that processing is influenced by structural changes of GxxxG mutants.

Furthermore, GxxxG mutants led to an increased level of shorter Abeta species, that is, Abeta37, Abeta35 and Abeta34. The exchange of the glycine residues for hydrophobic ones with bulkier side chains not only interfered with the packing interface of neighboring APP helices and prevented the dimerization, but also affected substrate/enzyme interaction of APP and thus gamma-secretase activity. Similarly, the introduction of an extra residue between glycine residues of the GxxxG motif might have prevented helix–helix associations as shown in a previous study, in which Lichtenthaler et al (2002) varied the APP TMS length. Two of the mutants described obviously affected the G25xxxG29 and G29xxxG33 motifs and generated elevated levels of Abeta38, Abeta37, Abeta34 and Abeta33.

We propose that GxxxG mutants allow the gamma-secretase to cleave sequentially from the alt epsilon-cut to positions Abeta38/Abeta37 and further to Abeta35/Abeta34 when the stability of the TMS dimer is severely affected (Figure 6B). Given that there are approx3.6 residues per alpha-helical turn, the glycine residues of the motif would be arranged on the same face of the helix, and the number of three-spacer residues separating them would preserve this arrangement. These results support a recently presented model proposing that gamma-secretase processing is a continuous process starting with the alt epsilon-cleavage from the C-terminal end of the TMS at position 49/48 followed by cleavages at position 46/45 (zeta-cleavages) and 42/40 (gamma-cleavages) thus removing helix turn by helix turn from beta-CTF (Qi-Takahara et al, 2005; Zhao et al, 2005) (Figure 6A). According to our data, we expand the sequential cleavage model by proposing that under normal conditions processing of beta-CTF is largely arrested at the gamma-cut 42/40, allowing one to detect high levels of the intermediate products Abeta42 and Abeta40. We assume that this arrest at Abeta42/Abeta40 is due to the dimeric state of the substrate beta-CTF, which has a cross-point at residues G29 and G33, affecting both the stability and the molecular organization of TMS helices (Figure 6A). APP TMS dimerization is unique insofar as it is the only known gamma-secretase substrate with a GxxxG motif in triplicate. Similar to the GxxxG mutants, NSAIDs like sulindac sulfide and flurbiprofen were reported to affect the generation of different Abeta species (Weggen et al, 2001; Eriksen et al, 2003). Depending on the specific NSAID tested, Abeta42 levels were reduced and Abeta38 levels selectively increased or vice versa (Kukar et al, 2005). As shown for conservative GxxxG mutations, most NSAIDs left the Abeta40 levels unaffected. Hence, we conclude from our data that some NSAIDs might directly affect the dimerization strength of the substrate beta-CTF. However, any effects of NSAIDs on GxxxG motifs of TMS-7 of PS-1 or TMS-4 or TMS-6 of APH-1 altering the active site conformation might also be possible (Lleo et al, 2004).

Figure 6.

Figure 6 :

Model of the gamma-secretase cleavage mechanism on dimeric APP TMSs. (A) Sequential gamma-secretase cleavages proceed from the C terminal end to the N terminus. The alt epsilon- and zeta-cleavage are suggested to occur independently of the dimeric or monomeric form of the substrate (green scissors). G29 and G33 form the cross point of two APP–TMS helices and represent a sterical hindrance for the proceeding gamma-secretase such that the main final cleavages occur after residue 42/40 and produce mainly Abeta42 and Abeta40 (orange scissors). Thus, the following cleavages only generate Abeta38 and Abeta37 if not inhibited by the helix–helix interactions of the dimer (red scissors). (B) Perturbed dimers (indicated by G29/G33 to alanine substitutions) resolve the sterical hindrance and allow the gamma-secretase to proceed to further N-terminal sites, yielding Abeta38 and Abeta37, and Abeta34 and Abeta35 (green scissors). Thus, the site of the final cleavage is determined by the strength of interaction of the two helices of two APP molecules mediated by the TMS residues G29 and G33.

View full figure (89 KB)

In the case of APP, dimerization of TMS through the residues G29 and G33 of the GxxxG motifs determines where the final gamma-secretase cleavage site might occur. This advanced model predicts that gamma-secretase is not only involved in AICD production (Sastre et al, 2001) but has also a function in Abeta clearance by cleaving off turn by turn until more hydrophilic forms of Abeta are released from the membrane, such as Abeta38/Abeta37 and Abeta35/Abeta34. Taken together, we conclude that a strong dimerization of the substrate beta-CTF is central to AD as any events stabilizing dimerization would increase the production of Abeta42. It could be considered that AD risk factors like high cholesterol levels or disturbed lipid homeostasis, oxidative stress, disturbed metal homeostasis or familial AD mutations in PS1 and APP affect the dimer stability of beta-CTF and thus influence Abeta production. Compounds targeting the dimerization of the APP TMS and interfering with the G29xxxG33 interaction motif of two gamma-secretase substrate molecules may be useful as therapeutics to prevent generation of Abeta42.

Materials and methods

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Plasmids and transfections

Generation of ToxR system plasmids has been described (Langosch et al, 1996). Briefly, the TMS under study was fused between the MBP and the ToxR transcription activator domain using a cassette cloning approach.

APP695 with N-terminal Myc tag and C-terminal Flag tag or SPA4CT with C-terminal Flag tag were used as a template to introduce L17C, G25A, G29A, I31V, I32V, G33A, L34A, G29/33A or G33I mutations by site-directed mutagenesis. The cDNAs were inserted into pCEP4 (Invitrogen), which contains a hygromycine resistance gene. For transient or stable expression, plasmids (2 mug) were transfected into SH-SY5Y cell line (ATCC number: CRL-2266) using Transfectine (Bio-Rad) following the manufacturer's instructions. All sequences were confirmed by dideoxy sequencing.

ToxR assay

The TMS under study is fused between the MBP and the ToxR transcription activator domain and inserted into the inner membrane of FHK12 cells. The TMS-driven dimerization leads to close proximity of the ToxR domains, which are able to initiate transcription of the lacZ gene encoding beta-galactosidase only in the dimeric state. Aliquots of E. coli FHK12 cells expressing chimeric constructs were transferred to 96-well dishes, lysed and beta-galactosidase activity was measured using the substrate ortho-nitrophenyl-beta-D-galactopyranoside (Langosch et al, 1996).

Molecular modeling

For both helices, five different, non-symmetrical starting conformations with identical backbone but varying random side-chain conformations were generated. From each starting conformation, 65 000 structures were generated by randomly rotating the helix 0–360° around the long axis; translating it -2 to +6 Å toward or away from geometric center, respectively; translating each helix plusminus10 Å along its long axis; and tilting the helices relative to the diad axis by plusminus20°. A dielectric constant of 20 was used for the electrostatics. An energy map was created for the rotation, tilt, longitudinal and translational shifts independently. The rotation was sampled in 36° bins, the tilt in 2.5° bins, the longitudinal shift in 2 Å bins and the translational shift was sampled in 0.8 Å bins. The average energy of each bin was evaluated independently by using Boltzmann averaging of all conformations within this bin. The energy map was graphically evaluated and a symmetric structure was assumed so that energy minima corresponding to asymmetric structures were disregarded. A related procedure has been shown to reliably model helix bundles (Gottschalk, 2004).

FRET

FRET efficiencies were determined using an acceptor photobleach protocol essentially as described previously (Voigt et al, 2005). HEK293 cells were transiently transfected with plasmids encoding CFP and YFP fusions of APP using Fugene 6 transfection reagent (Roche Molecular Biochemicals). For competition FRET experiments, the amount of plasmid encoding fluorescent proteins was reduced to allow addition of up to 1.5 mug of empty vector or plasmid encoding the competitor. Expression plasmids were generated by in-frame ligation of APP695 cDNA in custom-made vectors pcDNA3-CFP and pcDNA3-YFP.

Sandwich ELISA, immunoprecipitation and Western blots

Stably or transiently transfected cells were plated at a density of 2 times 106 cells per 60-mm dish or 3.6 times 106 cells per 12-well dish. The day after splitting, 3 ml or 350 mul of fresh media was added and incubated for 24 h. For Abeta40- and Abeta42-specific ELISAs, 50 mul of media was analyzed according to the manufacturer's instructions (The Genetics company). The same protocol was applied to determine Abeta38 and sAPPalpha levels, except that the antibody BAP-29 (provided by M Brockhaus, Roche) or the anti-Myc antibody (Cell Signaling Technology) was used. For Western blot analysis, Abeta was precipitated from equal volumes of conditioned media with polyclonal rabbit anti-serum (generated against residues 1–40). Aliquots of conditioned media were directly analyzed for sAPP. For full-length APP, cells were lysed in a buffer containing 50 mM Tris, pH 7.4, 150 mM NaCl, 2 mM EDTA, 2% NP-40 and 2% Triton X-100. For detection of C-terminal fragments (beta-CTF) of APP- and SPA4CT-transfected cells, cells were treated with gamma-secretase inhibitor N-[N-(3,5-difluorophenacetyl-L-alanyl)]-S-phenylglycine t-butyl ester (DAPT) for 24 h, lysed and equal amounts of protein were immunoprecipitated with a polyclonal rabbit anti-serum (directed against APP cytosolic domain). Samples were separated by SDS–PAGE, transferred to nitrocellulose and immunolabelled with either antibody W0-2 to Abeta residues 5–8 (Ida et al, 1996), 879 (sAPPbeta, provided by P Paganetti, Novartis) or antibody 22C11 (Hilbich et al, 1993).

MALDI-MS

Abeta was immunoprecipitated from conditioned media with W0-2. Sepharose was washed first in PBS, then in the presence of high salt (500 mM NaCl) followed by PBS and finally 100 mM ammonium chloride (pH 7.4). Abeta was eluted twice with 500 mul of 50% acetic acid and vacuum-dried. The sample was resuspended in 10 mul of 20% acetonitrile containing 0.1% tri-fluoric acetic acid and ultrasonicated. MALDI-MS analysis was carried out on sinapinic acid matrix with an UltraflexII TOF/TOF (Bruker Daltonics).



Acknowledgements

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We thank P Paganetti (Novartis) for kindly providing the antibody 879, M Brockhaus (Roche) for kindly providing the Abeta38-specific antibody BAP-29, SO Deininger (Bruker Daltonics) for MALDI-MS measurements and the Deutsche Forschungs Gemeinschaft (DFG) and the Hans und Ilse Breuer Stiftung for financial support.

References

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