JBC Avanti Polar Lipids

HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Originally published In Press as doi:10.1074/jbc.M704601200 on June 7, 2007

J. Biol. Chem., Vol. 282, Issue 32, 23639-23644, August 10, 2007
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Supplemental Data
Right arrow All Versions of this Article:
282/32/23639    most recent
M704601200v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Yin, Y. I.
Right arrow Articles by Li, Y.-M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Yin, Y. I.
Right arrow Articles by Li, Y.-M.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

{gamma}-Secretase Substrate Concentration Modulates the Abeta42/Abeta40 Ratio

IMPLICATIONS FOR ALZHEIMER DISEASE*Formula

Ye Ingrid Yin{ddagger}, Bhramdeo Bassit{ddagger}, Lei Zhu{ddagger}, Xia Yang{ddagger}, Chunyu Wang§, and Yue-Ming Li{ddagger}1

From the {ddagger}Molecular Pharmacology and Chemistry Program, Memorial Sloan-Kettering Cancer Center, New York, New York 10021 and §Department of Biology, Rensselaer Polytechnic Institute, Troy, New York 12180

Received for publication, June 5, 2007


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 EXPERIMENTAL PROCEDURES
 RESULTS AND DISCUSSION
 REFERENCES
 
Mutation of the amyloid precursor protein (APP), presenilin-1, or presenilin-2 results in the development of early onset autosomal dominant forms of Alzheimer disease (AD). These mutations lead to an increased Abeta42/Abeta40 ratio that correlates with the onset of disease. However, it remains unknown how these mutations affect {gamma}-secretase, a protease that generates the termini of Abeta40 and Abeta42. Here we have determined the reaction mechanism of {gamma}-secretase with wild type and three mutated APP substrates. Our findings indicate that despite the overall outcome of an increased Abeta42/Abeta40 ratio, these mutations each display rather distinct reactivity to {gamma}-secretase. Intriguingly, we found that the ratio of Abeta42/Abeta40 is variable with substrate concentration; increased substrate concentrations result in higher ratios of Abeta42/Abeta40. Moreover, we demonstrated that reduction of {gamma}-secretase substrate concentration by BACE1 inhibition in cells decreased the Abeta42/Abeta40 ratio. This study indicates that biological factors affecting targets such as BACE1 and APP, which ultimately cause an increased concentration of {gamma}-secretase substrate, can augment the Abeta42/Abeta40 ratio and may play a causative role in sporadic AD. Therefore, strategies lowering the Abeta42/Abeta40 ratio through partial reduction of {gamma}-secretase substrate production may introduce a practical therapeutic modality for treatment of AD.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 EXPERIMENTAL PROCEDURES
 RESULTS AND DISCUSSION
 REFERENCES
 
{gamma}-Secretase cleaves the amyloid precursor protein (APP) to generate the C termini of beta-amyloid (Abeta)2 peptides, generally 40 or 42 amino acids in length (Abeta40 and Abeta42, respectively). Abeta peptides are believed to be a major causative factor in the pathogenesis of Alzheimer disease (AD) (1). Abeta42 is more prone to aggregation than Abeta40 (2), and therefore biological or environmental factors that promote increased Abeta42 production accelerate the pathological cascade leading to AD. Expression of Abeta42, rather than Abeta40, in Drosophila and mice leads to the formation of Abeta plaques (3, 4). Furthermore, mouse model studies suggest that the ratio of Abeta42/Abeta40, rather than total amount of Abeta, correlates with the load of characteristic AD plaques in the brain (5, 6). Moreover, evidence suggests Abeta40 may play a beneficial role in that it antagonizes Abeta42 aggregation (5, 6). Therefore, inhibition of {gamma}-secretase activity that specifically generates Abeta42 or reduction of the Ab42/Abeta40 ratio would be an appealing strategy for treatment of AD. However, despite intensive studies on {gamma}-secretase, the mechanism of cleavage specificity for {gamma}-secretase is still unknown.

APP was the first gene found to be linked with inherited AD (7). Each mutation surrounding the {gamma}-secretase cleavage site appears to alter the production of Abeta40 and Abeta42. Suzuki et al. (8) demonstrated that mutating APP at Val-46 to Phe or Ile increased the ratio of secreted Abeta42 to Abeta40 in transfected cells. An increased ratio of Abeta42/Abeta40 was also observed with other mutations (9-11). De Jonghe et al. (9) found certain mutations enhanced the stability of the {gamma}-secretase substrates known as C-terminal fragments (betaCTF and {alpha}CTF), and Ancolio et al. (12) reported that the V44M mutation influences {alpha}-secretase cleavage. Therefore, secretion of Abeta from APP mutation-transfected cells is affected by a multitude of factors. How these mutations affect APP binding and reaction with {gamma}-secretase remains unknown.

In this study, we have developed a simplified system using small peptide substrates that allow for the mechanistic characterization of APP FAD mutations. Kinetic analyses (kcat/Km) suggest that all of these APP mutations enhance the preference of {gamma}-secretase for the 42-site over the 40-site cleavage and these changes are generally caused by kcat, rather than Km. Importantly, we have revealed that the amount of {gamma}-secretase substrate governs the ratio of Abeta42/Abeta40 in vitro and in cells. Increased substrate concentrations result in higher ratios of Abeta42/Abeta40.


    EXPERIMENTAL PROCEDURES
 TOP
 ABSTRACT
 INTRODUCTION
 EXPERIMENTAL PROCEDURES
 RESULTS AND DISCUSSION
 REFERENCES
 
Peptide and Compound Synthesis—Wild type (WT) and mutant APP-TM peptides were synthesized and purified by Midwest Biotech (Fig. 1). Biotinylated standard peptides (P40 and P42) were synthesized in our laboratory using standard Fmoc (N-(9-fluorenyl)methoxycarbonyl) solid phase chemistry on a peptide synthesizer (Protein Technologies, Inc.). Peptides were purified by reversed-phase high performance liquid chromatography using a semi-preparative C18 column. The identity of these peptides was confirmed by liquid chromatography tandem mass spectrometry analysis (Agilent Technologies). Compound 3 was synthesized as described (13).


Figure 1
View larger version (27K):
[in this window]
[in a new window]

 
FIGURE 1.
Transmembrane domain of APP is a good substrate of {gamma}-secretase. A, sequences of APP wild type (WT) and mutation substrates. Substrates contain biotin, transmembrane domain of APP, and three Lys at the C terminus. The mutated residue is in bold and underlined at 44-46 positions. The cleavage sites of 40 and 42 and the TM domain are indicated. P40 and P42 represent {gamma}-secretase cleavage products at 40 and 42 sites, respectively. B, double reciprocal plots for inhibition of {gamma}-secretase by L-685,458. Inhibition of {gamma}-secretase by L-685,458 at [I] = 0 (filled circle), [I] = 0.3 nM (open circle), [I] = 1nM (filled triangle), and [I] = 3nM (open triangle). C, double reciprocal plots for inhibition of {gamma}-secretase by Compound E. Inhibition of {gamma}-secretase by Compound E at [I] = 0 (filled circle), [I] = 0.3 nM (open circle), and [I] = 1nM (filled triangle). D, schematic models for the interaction of {gamma}-secretase and the TM substrate and C100. The TM substrate only binds the active site, whereas C100 interacts with both the active site and the docking site.

 
In Vitro {gamma}-Secretase Assay{gamma}-Secretase assay was the same as described previously (14) except for substrate identity. Briefly, the wild type or mutant APP-TM peptides were incubated with HeLa cell membrane in the presence of CHAPSO (0.25%) in buffer A (50 mM PIPES, pH 7.0, 5 mM MgCl2, 5mM CaCl2, 150 mM KCl) at 37 °C for 2.5 h. The reactions were stopped by adding radioimmune precipitation buffer (150 mM NaCl, 1.0% Nonidet P-40, 0.5% sodium deoxycholate, 0.1% SDS, 50 mM Tris-HCl, pH 8.0). Then the reaction mixtures were incubated with ruthenylated G2-10 or G2-11 antibody, which specifically recognizes products P40 and P42, respectively. The antibody reactions were detected by electrochemiluminescence (ECL). The G2-10 and G2-11 antibodies were ruthenylated with ruthenium (II) tris-bipyridine N-hydroxysuccinimide ester (Biovarice Inc.) according to the manufacturer's instructions. The concentrations of P40 and P42 were determined using synthetic peptide standards. The Km and Vmax were determined from the Michaelis-Menten equation Michaelis-Menten kinetics ({nu} = Vm [S]/(Km + [S]) where {nu} is initial rate, Vm is maximum velocity, Km is the Michaelis-Menten constant, and S is substrate). p values were calculated from Student's t-test.

Cell-based Assay for Abeta Production—N2A cells that stably express APP Swedish mutation were incubated with {gamma}-secretase or BACE1 inhibitors. Twenty-four hours later, the conditioned medium was removed and assayed for Abeta production. Abeta40 and Abeta42 were detected with biotinylated 6E10 paired with ruthenylated G2-10 or G2-11 antibodies, respectively. Abetax40 and Abetax42 were detected with biotinylated 4G8 paired with ruthenylated G2-10 or G2-11 antibodies, respectively (15). Concentration of Abeta peptides is calculated from standard curves that are generated using synthetic Abeta40 and Abeta42 peptides using the ECL assay.


    RESULTS AND DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 EXPERIMENTAL PROCEDURES
 RESULTS AND DISCUSSION
 REFERENCES
 
betaCTF, a beta-secretase-generated C-terminal fragment of APP, has been utilized as a substrate of {gamma}-secretase to biochemically characterize this protease (14, 16). Prior studies suggest that this substrate binds to the active site and docking site of {gamma}-secretase (17). To elucidate the reaction mechanism, we developed a sensitive in vitro assay in which the substrate solely interacts with the active site of {gamma}-secretase. We chose a biotinylated peptide substrate that contains a transmembrane domain (APP-TM) plus three lysine residues of APP (Fig. 1A). Similar experimental conditions as used for the C100 FLAG assay were used in this APP-TM substrate assay (14). Our peptide substrate was incubated with HeLa cell membrane in the presence of 0.25% CHAPSO, and the P40 and P42 products (reference to products resulting from the cleavage at the 40 and 42 sites) were detected with G2-10 and G2-11 antibodies, respectively. The {gamma}-secretase activity against this substrate was characterized to determine optimal conditions (supplemental Fig. S1). In our assay both the substrate and products are biotinylated. To eliminate the possibility of signal saturation under high concentrations of substrate due to the lack of streptavidin magnetic beads, we assayed 5, 10, and 25 µl of total {gamma}-secretase reaction mixture, each containing increasing amounts of biotinylated peptide. All three assay conditions resulted in the same substrate dependence (supplemental Fig. 1C), demonstrating that streptavidin beads are not limited under our assay conditions. Therefore, the {gamma}-secretase cleavage reaction with APP-TM as a substrate displayed a steady state kinetic mechanism. P42 production was 11.5% of the total sum of P40 and P42. {gamma}-Secretase activity for production of both P40 and P42 was inhibited by L-685,458, with an IC50 of 1.5 and 1.3 nM, respectively. The three products, P38, P40, and P42, were confirmed by liquid chromatography tandem mass spectrometry analysis (supplemental Fig. 2). Under current assay conditions, our mass spectrometry analysis was not able to detect {xi}- and {epsilon}-cleavages (18, 19). Nevertheless, this study focuses on {gamma}-cleavage sites (P40 and P42) that have been well characterized in association with AD. Hence, this novel assay using the APP-TM substrate recapitulates native characteristics and is a suitable assay to characterize {gamma}-secretase activity for Abeta40 and Abeta42 production.

We examined the inhibition patterns of L-685,458 and Compound E, which represent two classes of structurally distinct {gamma}-secretase inhibitors, against this peptide substrate. Double reciprocal (Lineweaver-Burke) analyses (Fig. 1, B and C) showed that the plots of L-685,458 intersect on the 1/v axis, whereas the plots of Compound E interface on the left of the 1/[s], which are indicative of competitive and non-competitive inhibition, respectively. In other words, L-685,458, an expected transition state analog, is a competitive inhibitor against substrate APP-TM (Fig. 1B), whereas Compound E, which contains a benzodiazepine moiety, displays non-competitive behavior (Fig. 1C). These findings strongly suggest that this small peptide substrate (APP-TM) solely binds to the active site of {gamma}-secretase. This differs from the C100 substrate (17), which interacts with both the active site and the docking site of {gamma}-secretase (Fig. 1D). Furthermore, it suggests that L-685,458 and Compound E bind to different sites on {gamma}-secretase, as previously reported (20, 21). This study provides experimental evidence that L-685,458 is a transition state inhibitor, further validating prior conclusions that the presenilins contain the active site of {gamma}-secretase (22).

We next evaluated the effect of APP mutations on P40 and P42 production. Three APP mutant substrates were selected (Fig. 1). Among them, two were FAD mutants that reside at positions 44 (V44M, named French mutation V715M) and 45 (I45V, named Florida mutation I716V) (Fig. 1A). The V45F mutation is a non-natural mutant discovered by phenylalanine mutagenesis of the transmembrane domain of APP (23). At a concentration of 0.5 µM, each substrate was incubated with HeLa cell membrane and the initial rate of P40 and P42 production was determined (Table 1). Our findings indicate that two mutations (I45F and I45V) reduced P40 production and increased P42 production, whereas the V44M mutation augmented the production of both P40 and P42. Interestingly, the I45F mutation led to production of higher quantities of P42 than P40, which is in contrast to all other mutations. Nevertheless, the overall outcome of each of these mutations is an increased ratio of P42/P40.


View this table:
[in this window]
[in a new window]

 
TABLE 1
Effect of substrate mutation on {gamma}-secretase rate for P40 and P42 production

**, p < 0.01; *, p < 0.05.

 
To elucidate the mechanism of {gamma}-secretase catalysis, the kinetic parameters of {gamma}-secretase for these substrates were determined (Table 2). Surprisingly, there were different Km values for P40 and P42 production and all these substrates exhibited a higher apparent Km for P42 than that for P40. If these differences truly reflect the affinity between substrate and {gamma}-secretase, we predict that the ratio of P42 to P40 will be altered as substrate concentration is varied. In other words, a substrate concentration that saturates for P40 production, but not for P42, will lead to a higher ratio of P42 to P40. Thus, we determined the ratio of P42 to P40 at different substrate concentrations of WT and I45F-mutated APP-TM. Ratios of P42 to total product for WT substrate were 13 and 22% at concentrations of 0.5 and 2 µM, respectively, and for the I45F substrate were 57 and 75%, respectively (Fig. 2A). This observation strongly suggests that {gamma}-secretase has distinct affinities to the same substrate for P40 and P42 production. There was no significant difference between Km values of WT and the mutated substrates for P40 and P42 activities. These mutations significantly influence Vmax (maximum velocity) for both P40 and P42 production (Table 2). Vmax values for I45F, V44M, and I45V substrates for production of P40 are 0.25-, 1.15-, and 0.70-fold of WT, respectively. For P42, they are 1.96-, 4.56-, and 2.73-fold of WT, respectively. These point mutations conclusively affect catalysis, rather than affinity for substrate.


View this table:
[in this window]
[in a new window]

 
TABLE 2
Vmax and Km values of {gamma}-secretase against various APP-TM substrates

*, p < 0.05; **, p < 0.01.

 


Figure 2
View larger version (13K):
[in this window]
[in a new window]

 
FIGURE 2.
The biochemical relationship between the P42/P40 ratio and substrate concentration. A, in vitro assay. {gamma}-Secretase activity for P40 and P42 production was assayed at the substrate concentrations of 0.5 and 2 µM for substrate WT and I45F (mean ± S.D., n ≥ 3). B, calculated P42/P40 ratio based on Vmax and Km parameters from Table 2. Inset, substrate concentration from 0.01 to 2 µM.

 


Figure 3
View larger version (26K):
[in this window]
[in a new window]

 
FIGURE 3.
The cellular relationship between the P42/P40 ratio and substrate concentration. A, structure of Compound 3. B, effect of Compound 3 on Abeta40 and Abeta42 production. The N2A cells that stably express APP Swedish mutation were treated with Compound 3, and secreted Abeta40 and Abeta42 were determined with biotinylated 6E10/ruthyluated G2-10 or biotinylated 6E10/ruthyluated G2-11, respectively (n = 6). C, effect of Compound 3 on Abetax40 and Abetax42 production. Secreted Abeta40 and Abeta42 were determined with biotinylated 4G8/ruthyluated G2-10 or biotinylated 4G8/ruthyluated G2-11, respectively (n = 6). D, relative ratio of Abeta42/Abeta40 or Abetax42/Abetax42. *, p < 0.05; **, p < 0.01.

 
Importantly, we next examined the catalytic efficiency (kcat/Km or Vmax/Km) of {gamma}-secretase against each substrate. kcat/Km is a second-order rate constant that informs how the enzyme performs when the substrate concentration is low and indicates an enzyme's preference for different substrates (also called specificity constant). Considering that Vmax = kcat * E]total (total concentration of {gamma}-secretase) and the same concentrations of {gamma}-secretase were used for each substrate, the ratio of Vmax/Km (mutation) to Vmax/Km (WT) are equal to the ratio of their kcat/Km. We analyzed the Vmax/Km of these substrates from two perspectives. First, we compared mutated substrate versus WT. For P40 production V44M was a better substrate (2.12-fold) than WT, while both I45F (0.24-fold) and I45V (0.78-fold) were poorer substrates. For P42, all three mutations were better substrates, ranging from 2.12- to 3.60-fold compared with WT. Although each mutation displays a unique effect on P40 and P42 production, the overall tendency for all three mutations was to increase the relative specificity for P42 production. Secondly, we determined the relative kcat/Km for each substrate for P40 and P42 production. The relative specificity for P40 over P42 is 9.21, 1.01, 5.42, and 2.53 for WT, I45F, V44M, and I45V, respectively. These studies indicate that {gamma}-secretase generally prefers the 40-site cleavage when the WT substrate concentration is low and suggest that {gamma}-secretase is responsible for the 40-site processing under physiological conditions. Mutations alter the preference of {gamma}-secretase for 40- versus 42-site cleavage, and these changes are generally attributable to kcat rather than Km. Moreover, we calculated the overall effect on the rate of {gamma}-secretase for P40 and P42 production based on the Vmax and Km values of WT (Fig. 2B). This analysis revealed that an increase in substrate concentration not only results in generation of more total amount of Abeta but also leads to an increased ratio of Abeta42/Abeta40, which may be directly related to the pathogenesis of AD.

The next critical question is whether substrate concentration correlates with the ratio of Abeta42/Abeta40 at the cellular level. BACE1 is responsible for generation of betaCTF, a {gamma}-secretase substrate; therefore, we chose to control the betaCTF level through inhibition of BACE1 activity. N2A cells that stably express APP Swedish mutation were treated with a BACE1 inhibitor, Compound 3 (13) (Fig. 3A) at 1 and 3 µM. The amounts of secreted Abeta40, Abetax40 (that includes Abeta1-40 and Abeta17-40), Abeta42, and Abetax42 were estimated using an ECL assay with synthetic peptides as standards. Compound 3 at 1 and 3 µM inhibits 33 and 39% of Abeta40 and 47 and 55% of Abeta42, respectively (Fig. 3B). Similarly, this inhibitor at 1 and 3 µM suppresses 44 and 52% of Abetax40 and 61 and 72% of Abetax42, respectively. Treatment of APP Swedish mutation cells with BACE1 inhibitor at 1 and 3 µM reduced the relative ratio (compared with "no treatment" assigned a value of 1) of Abeta42/Abeta40 to 0.81 and 0.73 and Abetax42/Abetax40 to 0.70 and 0.58, respectively (Fig. 3C). Western analysis confirmed that this compound has no effect on the level of APP (supplemental Fig. S3). These cellular studies therefore reinforce our assertion that the Abeta42/Abeta40 ratio is dependent on the substrate concentration of {gamma}-secretase. This finding corroborates other studies showing that up-regulation of BACE1 activity by Par4 elevates the ratio of Abeta42/Abeta40 (24). Our discovery illustrates that the Abeta42/Abeta40 ratio is variable with {gamma}-secretase substrate concentration and provides critical insight into the pathogenesis of sporadic AD. Any biological or environmental factors that promote increased levels of {gamma}-secretase substrate likely will result in an increase in the Abeta42/Abeta40 ratio, which is similar to the effect of presenilin-1, presenilin-2, and APP mutations (25-27). Recent studies have shown that BACE1 activity is increased in sporadic AD brains and is correlated with Abeta load (28, 29). Our studies suggest that higher BACE1 activity in AD patients increases the production of betaCTF and ultimately leads to a higher ratio of Abeta42/Abeta40, which is associated with the pathological state of the disease. A slight increase in betaCTF production resulting from BACE1 cleavage leads to a mild elevation of the Abeta42/Abeta40 ratio (see Fig. 2B) and could chronically be detrimental to neuronal cells. Multiple factors have been found to regulate BACE1 expression and activity, such as Par4 (24) and HIF-1{alpha} (30). The role of these proteins in regulation of BACE activity in AD patients needs to be investigated.

In summary, this study demonstrates that in addition to the clinical mutations of presenilin-1, presenilin-2, and APP, {gamma}-secretase substrate concentration can increase the ratio of Abeta42/Abeta40, which may play a critical role in the pathogenesis of sporadic AD (Fig. 4). Moreover, BACE inhibitors that reduce betaCTF production are capable of lowering the ratio of Abeta42/Abeta40 in addition to reducing the total amount of Abeta. Partial inhibition of BACE1 activity could reduce the Abeta42/Abeta40 ratio and represent a practical strategy for AD therapies.


Figure 4
View larger version (8K):
[in this window]
[in a new window]

 
FIGURE 4.
Proposed role of higher {gamma}-secretase substrate concentration in AD. Mutations of presenilin-1 (PS1), presenilin-2 (PS2), and APP appear to cause an increase in the Abeta42/Abeta40 ratio and ultimately lead to an early onset of AD. This work found that higher {gamma}-secretase substrate concentrations result in a higher ratio of Abeta42/Abeta40, which is reminiscent of genetic mutations. Previous reports showed that BACE1 activity is elevated in sporadic AD brains (28, 29). Accordingly, higher BACE1 activity generates more betaCTF and leads to a higher ratio of Abeta42/Abeta40.

 

    FOOTNOTES
 
* This work was supported by National Institutes of Health Grant AG026660 (to Y. M. L.), the Alzheimer's Association (Zenith Fellows Award to Y. M. L.), and the American Health Assistance Foundation (to Y. M. L.). The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. Back

Formula The on-line version of this article (available at http://www.jbc.org) contains supplemental Figs. S1-S3. Back

1 To whom correspondence should be addressed: Box 459, Memorial Sloan-Kettering Cancer Center, 1275 York Ave., NY, NY 10021. Tel.: 646-888-2193; Fax: 646-422-0640; E-mail: liy2{at}mskcc.org.

2 The abbreviations used are: Abeta, beta-amyloid; AD, Alzheimer disease; APP, amyloid precursor protein; betaCTF, beta-secretase-cleaved APP C-terminal fragment; {alpha}CTF, {alpha}-secretase-cleaved APP CTF; ECL, electrochemiluminescence; WT, wild type; TM, transmembrane; CHAPSO, 3-[(3-cholamidopropyl)dimethylammonio]-2-hydroxy-1-propanesulfonate; PIPES, 1,4-piperazinediethanesulfonic acid. Back


    ACKNOWLEDGMENTS
 
We thank Christopher Chad Shelton and Lisa Placanica for discussions and suggestions regarding this manuscript.



    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 EXPERIMENTAL PROCEDURES
 RESULTS AND DISCUSSION
 REFERENCES
 

  1. Hardy, J., and Allsop, D. (1991) Trends Pharmacol. Sci. 12, 383-388[CrossRef][Medline] [Order article via Infotrieve]
  2. Jarrett, J. T., Berger, E. P., and Lansbury, P. T., Jr. (1993) Ann. N. Y. Acad. Sci. 695, 144-148[Abstract]
  3. Iijima, K., Liu, H. P., Chiang, A. S., Hearn, S. A., Konsolaki, M., and Zhong, Y. (2004) Proc. Natl. Acad. Sci. U. S. A. 101, 6623-6628[Abstract/Free Full Text]
  4. McGowan, E., Pickford, F., Kim, J., Onstead, L., Eriksen, J., Yu, C., Skipper, L., Murphy, M. P., Beard, J., Das, P., Jansen, K., Delucia, M., Lin, W. L., Dolios, G., Wang, R., Eckman, C. B., Dickson, D. W., Hutton, M., Hardy, J., and Golde, T. (2005) Neuron 47, 191-199[CrossRef][Medline] [Order article via Infotrieve]
  5. Deng, Y., Tarassishin, L., Kallhoff, V., Peethumnongsin, E., Wu, L., Li, Y. M., and Zheng, H. (2006) J. Neurosci. 26, 3845-3854[Abstract/Free Full Text]
  6. Kim, J., Onstead, L., Randle, S., Price, R., Smithson, L., Zwizinski, C., Dickson, D. W., Golde, T., and McGowan, E. (2007) J. Neurosci. 27, 627-633[Abstract/Free Full Text]
  7. Goate, A., Chartier-Harlin, M. C., Mullan, M., Brown, J., Crawford, F., Fidani, L., Giuffra, L., Haynes, A., Irving, N., James, L., Mant, R., Newton, P., Rooke, K., Roques, P., Talbot, C., Pericak-Vance, M., Roses, A., Williamson, R., Rossor, M., Owen, M., and Hardy, J. (1991) Nature 349, 704-706[CrossRef][Medline] [Order article via Infotrieve]
  8. Suzuki, N., Cheung, T. T., Cai, X. D., Odaka, A., Otvos, L., Jr., Eckman, C., Golde, T. E., and Younkin, S. G. (1994) Science (N. Y.) 264, 1336-1340
  9. De Jonghe, C., Esselens, C., Kumar-Singh, S., Craessaerts, K., Serneels, S., Checler, F., Annaert, W., Van Broeckhoven, C., and De Strooper, B. (2001) Hum. Mol. Genet. 10, 1665-1671[Abstract/Free Full Text]
  10. Lichtenthaler, S. F., Ida, N., Multhaup, G., Masters, C. L., and Beyreuther, K. (1997) Biochemistry 36, 15396-15403[CrossRef][Medline] [Order article via Infotrieve]
  11. Maruyama, K., Tomita, T., Shinozaki, K., Kume, H., Asada, H., Saido, T. C., Ishiura, S., Iwatsubo, T., and Obata, K. (1996) Biochem. Biophys. Res. Comm. 227, 730-735[CrossRef][Medline] [Order article via Infotrieve]
  12. Ancolio, K., Dumanchin, C., Barelli, H., Warter, J. M., Brice, A., Campion, D., Frebourg, T., and Checler, F. (1999) Proc. Natl. Acad. Sci. U. S. A. 96, 4119-4124[Abstract/Free Full Text]
  13. Stachel, S. J., Coburn, C. A., Steele, T. G., Jones, K. G., Loutzenhiser, E. F., Gregro, A. R., Rajapakse, H. A., Lai, M. T., Crouthamel, M. C., Xu, M., Tugusheva, K., Lineberger, J. E., Pietrak, B. L., Espeseth, A. S., Shi, X. P., Chen-Dodson, E., Holloway, M. K., Munshi, S., Simon, A. J., Kuo, L., and Vacca, J. P. (2004) J. Med. Chem. 47, 6447-6450[CrossRef][Medline] [Order article via Infotrieve]
  14. Li, Y. M., Lai, M. T., Xu, M., Huang, Q., DiMuzio Mower, J., Sardana, M. K., Shi, X. P., Yin, K. C., Shafer, J. A., and Gardell, S. J. (2000) Proc. Natl. Acad. Sci. U. S. A. 97, 6138-6143[Abstract/Free Full Text]
  15. Lai, M. T., Chen, E., Crouthamel, M. C., DiMuzio-Mower, J., Xu, M., Huang, Q., Price, E., Register, R. B., Shi, X. P., Donoviel, D. B., Bernstein, A., Hazuda, D., Gardell, S. J., and Li, Y. M. (2003) J. Biol. Chem. 278, 22475-22481[Abstract/Free Full Text]
  16. Kimberly, W. T., LaVoie, M. J., Ostaszewski, B. L., Ye, W., Wolfe, M. S., and Selkoe, D. J. (2003) Proc. Natl. Acad. Sci. U. S. A. 100, 6382-6387[Abstract/Free Full Text]
  17. Tian, G., Sobotka-Briner, C. D., Zysk, J., Liu, X., Birr, C., Sylvester, M. A., Edwards, P. D., Scott, C. D., and Greenberg, B. D. (2002) J. Biol. Chem. 277, 31499-31505[Abstract/Free Full Text]
  18. Zhao, G., Mao, G., Tan, J., Dong, Y., Cui, M. Z., Kim, S. H., and Xu, X. (2004) J. Biol. Chem. 279, 50647-50650[Abstract/Free Full Text]
  19. Sastre, M., Steiner, H., Fuchs, K., Capell, A., Multhaup, G., Condron, M. M., Teplow, D. B., and Haass, C. (2001) EMBO Rep. 2, 835-841[CrossRef][Medline] [Order article via Infotrieve]
  20. Tian, G., Ghanekar, S. V., Aharony, D., Shenvi, A. B., Jacobs, R. T., Liu, X., and Greenberg, B. D. (2003) J. Biol. Chem. 278, 28968-28975[Abstract/Free Full Text]
  21. Clarke, E. E., Churcher, I., Ellis, S., Wrigley, J. D., Lewis, H. D., Harrison, T., Shearman, M. S., and Beher, D. (2006) J. Biol. Chem. 281, 31279-31289[Abstract/Free Full Text]
  22. Li, Y. M., Xu, M., Lai, M. T., Huang, Q., Castro, J. L., DiMuzio-Mower, J., Harrison, T., Lellis, C., Nadin, A., Neduvelil, J. G., Register, R. B., Sardana, M. K., Shearman, M. S., Smith, A. L., Shi, X. P., Yin, K. C., Shafer, J. A., and Gardell, S. J. (2000) Nature 405, 689-694[CrossRef][Medline] [Order article via Infotrieve]
  23. Lichtenthaler, S. F., Wang, R., Grimm, H., Uljon, S. N., Masters, C. L., and Beyreuther, K. (1999) Proc. Natl. Acad. Sci. U. S. A. 96, 3053-3058[Abstract/Free Full Text]
  24. Xie, J., and Guo, Q. (2005) J. Biol. Chem. 280, 13824-13832[Abstract/Free Full Text]
  25. Selkoe, D. J. (2001) Physiol. Rev. 81, 741-766[Abstract/Free Full Text]
  26. De Strooper, B. (2007) EMBO Rep. 8, 141-146[CrossRef][Medline] [Order article via Infotrieve]
  27. Kumar-Singh, S., Theuns, J., Van Broeck, B., Pirici, D., Vennekens, K., Corsmit, E., Cruts, M., Dermaut, B., Wang, R., and Van Broeckhoven, C. (2006) Hum. Mut. 27, 686-695[CrossRef][Medline] [Order article via Infotrieve]
  28. Yang, L. B., Lindholm, K., Yan, R., Citron, M., Xia, W., Yang, X. L., Beach, T., Sue, L., Wong, P., Price, D., Li, R., and Shen, Y. (2003) Nat. Med. 9, 3-4[CrossRef][Medline] [Order article via Infotrieve]
  29. Fukumoto, H., Cheung, B. S., Hyman, B. T., and Irizarry, M. C. (2002) Arch. Neurol. 59, 1381-1389[Abstract/Free Full Text]
  30. Zhang, X., Zhou, K., Wang, R., Cui, J., Lipton, S. A., Liao, F.-F., Xu, H., and Zhang, Y.-W. (2007) J. Biol. Chem. 282, 10873-10880[Abstract/Free Full Text]

Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
J. Biol. Chem.Home page
M. Shimojo, N. Sahara, T. Mizoroki, S. Funamoto, M. Morishima-Kawashima, T. Kudo, M. Takeda, Y. Ihara, H. Ichinose, and A. Takashima
Enzymatic Characteristics of I213T Mutant Presenilin-1/{gamma}-Secretase in Cell Models and Knock-in Mouse Brains: FAMILIAL ALZHEIMER DISEASE-LINKED MUTATION IMPAIRS {gamma}-SITE CLEAVAGE OF AMYLOID PRECURSOR PROTEIN C-TERMINAL FRAGMENT {beta}
J. Biol. Chem., June 13, 2008; 283(24): 16488 - 16496.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Supplemental Data
Right arrow All Versions of this Article:
282/32/23639    most recent
M704601200v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Yin, Y. I.
Right arrow Articles by Li, Y.-M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Yin, Y. I.
Right arrow Articles by Li, Y.-M.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 All ASBMB Journals   Molecular and Cellular Proteomics 
 Journal of Lipid Research   ASBMB Today 
Copyright © 2007 by the American Society for Biochemistry and Molecular Biology.