Journal of Alzheimer’s Disease 43 (2015) 243–257 DOI 10.3233/JAD-140612 IOS Press
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ATBF1 is a Novel Amyloid- Protein Precursor (APP) Binding Protein that Affects APP Expression Kyung-Ok Uhma,1 , Mi-Jeong Kima,1 , Makoto Kawaguchib , Hiroyasu Akatsuc,d , Yutaka Miurae , Sachiyo Misumif , Hideki Hidaf , Eun-Kyoung Choig , Yong-Sun Kimh , Makoto Michikawai and Cha-Gyun Junga,f,∗ a Department of Alzheimer’s Disease Research, Research Institute, National Center for Geriatrics and Gerontology
(NCGG), Morioka, Obu, Aichi, Japan b Department of Pathology, Niigata Rosai Hospital, Niigata, Japan c Choju Medical Institute, Fukushimura Hospital, Toyohashi, Japan d Department of Community-based Medical Education, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan e Department of Molecular Neurobiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan f Department of Neurophysiology and Brain Science, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan g Laboratory of Cellular Aging and Neurodegeneration, Ilsong Institute of Life Science, Hallym University, Anyang, Gyeonggi-do, Korea h Department of Microbiology, College of Medicine, Hallym University, Chuncheon, Gangwon-do, Korea i Department of Biochemistry, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
Accepted 29 May 2014
Abstract. The cytoplasmic C-terminal domain of amyloid- protein precursor (APP) binds to several proteins that regulate the trafficking and processing of APP and affects amyloid- (A) production. We previously reported that levels of ATmotif binding factor 1 (ATBF1) are increased in the brains of 17-month-old Tg2576 mice compared with wild-type controls, and that A42 increases ATBF1 expression, inducing death in primary rat cortical neurons. Here, we show that ATBF1 levels are increased in the cytoplasm of hippocampal neurons in Alzheimer’s disease (AD) brains compared with non-AD brains. Furthermore, cotransfection of human embryonic kidney (HEK293T) and human neuroblastoma (SH-SY5Y) cells with ATBF1 and APP695 increased steady-state levels of APP via the binding of ATBF1 to the APP cytoplasmic domain (amino acids 666–690), resulting in increased A production and cellular and soluble APP (sAPP) levels without affecting the activity or levels of APP processing enzymes (␣-, -, or ␥-secretase). Conversely, knockdown of endogenous ATBF1 reduced levels of cellular APP, sAPP, and A in HEK293 cells overexpressing human APP695. Our findings provide insight into the dynamics of APP processing and A production, and suggest that ATBF1 is a novel APP binding protein that may be a suitable therapeutic target for AD. Keywords: A production, APP binding protein, APP stabilization, Alzheimer’s disease, ATBF1 1 These
authors contributed equally to this work. to: Cha-Gyun Jung, Department of Neurophysiology and Brain Science, Nagoya City University Graduate School of Medical Science, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya 467-8601, Japan. Tel.: +81 52 853 8136; Fax: +81 52 842 3069; E-mail:
[email protected]. ∗ Correspondence
ISSN 1387-2877/15/$27.50 © 2015 – IOS Press and the authors. All rights reserved
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INTRODUCTION Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia in the elderly. Although the molecular mechanisms underlying the selective neurodegeneration in AD are still poorly understood, the deposition of amyloid- peptide (A) in senile plaques is a characteristic hallmark of the disease and is considered to play an important role in the pathogenesis of the condition [1–3]. A is derived from the amyloid- protein precursor (APP), a type 1 transmembrane protein, by two sequential proteolytic cleavages. APP is first cleaved by -site APP cleaving enzyme-1 (-secretase, BACE-1) to generate a membrane-bound C-terminal fragment of 99 amino acids (APP-C99) [4–7]. This APP-C99 is further cleaved within the transmembrane domain by ␥-secretase, which consists of a multicomponent complex composed of presenilin, nicastrin, presenilin enhancer 2, and anterior pharynx-defective 1, to generate A [8, 9]. Alternatively, APP can be cleaved in the middle of the A sequence within the protein by ␣-site APP -cleaving enzyme (␣-secretase, including ADAM10 and AMAM17) to generate nonamyloidogenic soluble APP␣ (sAPP␣), thereby precluding A generation [10–12]. Although the detailed characterization of the APP proteolytic processing pathways has revealed important targets for drug discovery, the physiological functions of APP and its cleavage products remain unclear. The cytoplasmic C-terminal domain of APP plays critical roles in the trafficking and processing of the protein by binding to several cell surface proteins such as Fe65, X11, and X11L. For example, overexpression of Fe65, X11, or X11L in an APP transgenic mouse model causes a reduction in A generation and deposition [13–15]. Furthermore, X11-deficient mice exhibit amyloidogenic processing of endogeneous APP, leading to an increase in A generation [16]. In addition to cell surface proteins, transmembrane proteins, such as several low-density lipoprotein receptor family members, also affect APP trafficking and processing [17]. Most APP binding proteins interact with the cytoplasmic domain of the protein, which contains a phosphorylation site and functional motifs that play an important role in the regulation of its metabolism, trafficking and function. Thus, studies on APP function and processing, including the identification and characterization of new APP binding proteins, are important for our understanding of the physiological functions and processing of APP, and
can provide potential targets for therapeutic intervention in AD. AT-motif binding factor 1 (ATBF1) is a 404-kDa transcription factor that contains four homeodomains and 23 zinc-finger motifs [18]. In addition to playing a critical role in transcriptional regulation, ATBF1 also participates in various protein-protein interactions [19]. We previously reported that ATBF1 is highly expressed in postmitotic neurons and that it induces cell cycle arrest associated with neuronal differentiation in the developing rat brain [20]. Furthermore, more recent results from our laboratory revealed that ATBF1 expression is increased in the brains of 17-month-old Tg2576 mice overexpressing human APP with the Swedish mutation compared with age-matched wild-type mice. Moreover, our in vitro studies showed that A42 and the DNA-damaging drugs etoposide and homocysteine increase ATBF1 levels in primary rat cortical neurons, whereas the knockdown of ATBF1 in these neurons protects against neuronal death induced by A42 , etoposide, and homocysteine, indicating that ATBF1 mediates neuronal death triggered by these factors [21]. However, it is unknown whether ATBF1 levels are also altered in the brains of AD patients. In the present study, we show that ATBF1 levels are increased in hippocampal neurons of AD patients compared with hippocampal neurons in non-AD subjects. Furthermore, we demonstrate for the first time that ATBF1 is an APP binding protein, and that overexpression of ATBF1 increases the steady-state levels of APP, resulting in a significant increase in A production.
MATERIALS AND METHODS Immunohistochemical study of AD and non-AD brains Hippocampus postmortem tissue samples of AD and non-AD were obtained under Committees on Human Research approval of National Center for Geriatrics and Gerontology and Choju Medical Institute of Fukushimura Hospital. The information of the brain specimens is shown in Table 1. Paraffin-embedded hippocampal tissue sections from 20 AD and 25 non-AD brains were deparaffinized in xylene and rehydrated in a graded ethanol series. Sections were incubated with anti-ATBF1 (D1-120, MBL, Nagoya, Japan) antibody for 1 h in a humid chamber at room temperature and subsequently incubated with a horseradish peroxidase-conjugated rabbit IgG antibody, and sig-
K.-O. Uhm et al. / ATBF1 is a Novel APP binding protein Table 1 Information on the cases used for immunohistochemistry Diagnosis
Age (years)
Break stage
PMI (h)
Gender
AD AD AD AD AD AD AD AD AD AD AD AD AD AD AD AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD Non-AD
91 83 99 83 82 78 91 94 83 98 92 81 85 84 79 86 87 87 79 71 88 79 96 80 87 84 80 93 91 79 90 80
5 6 5 5 None None 5 5 None None None None 6 4 None None 2 2 1 1 None None None 1 2 None None 2 None None None None
18 2 8 3 3 3 8 43 1 2.5 9 2 2 3 3 2 3 10 3 44 None 3 10 3 10 3 6 18 2 3 12 2
Female Female Female Female Female Female Female Female Female Female Male Male Male Male Female Male Male Male Male Male Male Female Male Male Male Male Male Male Male Female Female Female
nals were visualized with 3,3 -diaminobenzidine (DAKO Cytomation, Denmark). Sections were then counterstained with hematoxylin and mounted in Super Mount medium. Images were obtained using an AX70 fluorescence microscope (Olympus). Plasmid constructs An ATBF1 expression construct, containing an 11kb full-length human cDNA [18], was inserted into the pCI vector (Promega, Madison, WI, USA) with a hemagglutinin (HA)-tag sequence at the 5 terminus of the insert (HA-ATBF1) [20]. Constructs of Flag-tagged full-length human APP695 and of the three different Flag-tagged C-terminal APP deletion mutants (Flag- APP-CTF1, 652-665; Flag- APP-CTF2, 666-680; Flag- APP-CTF3, 681-690 [referring to APP695 numbering]) were kindly provided by Dr. Toshiharu Suzuki (Hokkaido University, Japan, [22, 23]). The pcDNA APP-C99 construct (C-terminal 99 amino acid residues of APP) was kindly provided by
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Dr. Hiroto Komano (Iwate Medical University, Japan, [24]). Cell culture and transfection HEK293T (human embryonic kidney, 293T), SH-SY5Y (human neuroblastoma) and HEK293APP695 cells were cultured in Dulbecco’s modified Eagle’s medium supplemented with 10% fetal bovine serum. HEK293-APP695 cells stably expressing human APP695 were kindly provided by Dr. Toshiharu Suzuki (Hokkaido University, Japan) [25, 26]. Transfections of HEK293T and SH-SY5Y were performed using the Lipofectamine 2000 reagent (Invitrogen, Carlsbad, CA, USA) in accordance with the manufacturer’s instructions. Quantification of Aβ40 and Aβ42 levels To quantify A levels in transfected cells, medium was replaced with fresh medium 16 h after transfection, and the conditioned medium was collected 32 h later and centrifuged for 15 min at 10,000×g to remove cell debris. Levels of secreted A40 and A42 in the medium were measured with sandwich enzyme-linked immunosorbent assay (ELISA) kits (Wako Pure Chemical Industries, Osaka, Japan). The A levels were normalized to the amount of total protein in the transfected cells. Western blot analysis The cells were washed with PBS and homogenized in lysis buffer (25 mM Tris-HCl (pH 7.6), 150 mM NaCl, 1% Nonidet P-40, 1% sodium deoxycholate, 0.1% SDS) containing a protease inhibitor cocktail (Roche, Mannheim, Germany). The homogenates were agitated on a rocking shaker at 4◦ C for 30 min and centrifuged at 13,000 × g at 4◦ C for 30 min to remove cell debris. The resulting supernatant was collected and the protein concentration was determined using a BCA protein assay kit (Pierce, Rockford, IL, USA). Equal amounts of protein were subjected to 7.5% or 5–20% gradient SDS polyacrylamide gel electrophoresis, and the separated products were transferred to polyvinylidene difluoride (PVDF) membranes. These membranes were then blocked with 5% skim milk in lysis buffer for 1 h at room temperature. These membranes were then incubated with primary antibodies, namely, anti-Flag M2 (Sigma, Saint Louis, MO, USA), anti-HA (MBL), anti-ATBF1 (D1120; MBL), anti-N-terminal APP (22C11; Millipore,
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Billerica, MA, USA), anti-sAPP␣ (6E10; Covance, Emeyryville, CA, USA), anti-sAPP (IBL, Gunma, Japan), anti-C-terminal APP (Sigma), anti-presenilin (PS1, Millipore), anti-BACE1 (Cell Signaling Technology, Cambridge, UK), anti-ADAM10 (Millipore), anti-GFP (Santa Cruz, CA, USA), or anti-actin (Sigma) antibody. The membranes were washed and then incubated with the appropriate secondary antibody conjugated to horseradish peroxidase. Immunoreactive bands were visualized with the ECL™ or ECL Plus™ western blotting detection reagent (GE Life Sciences, Piscataway, NJ, USA) and analyzed with the LAS3000 Mini Bio-imaging Analyzer System (Fujifilm, Tokyo, Japan). Signal intensity was determined using MultiGauge software (Fujifilm). Immunoprecipitation HEK293T cells were grown in 10-cm2 dishes. After reaching 50–70% confluency, the cells were transiently cotransfected with various combinations of the FlagAPP, HA-ATBF1, APP-C99 or Flag-APP-CTF1, Flag-APP-CTF2, Flag-APP-CTF3 and pCI-HA plasmids. After transfection, the cells were washed twice with PBS, lysed in 1 ml lysis buffer (25 mM TrisHCl (pH 7.6), 150 mM NaCl, 1% Nonidet P-40, 1% sodium deoxycholate, 0.1% SDS) containing a protease inhibitor cocktail, and centrifuged at 13,000×g at 4◦ C for 20 min. The resulting supernatant was immunoprecipitated overnight with anti-Flag (M2) or anti-HA antibody in the presence of protein G beads (Pierce) at 4◦ C. The immune complexes were washed four times with lysis buffer. The samples were subjected to 5–20% gradient SDS-PAGE and transferred to a PVDF membrane and used for western blot analysis using specific antibodies. Measurement of secretase activity HEK293T and SH-SY5Y cells were transiently cotransfected with Flag-APP and either HA-ATBF1 or pCI HA (control vector). Forty-eight hours after transfection, cells were harvested and -secretase activity was measured using a -secretase activity kit (Biovision, Milpitas, CA, USA) following the manufacturer’s instructions. The activity of other secretases was measured as described previously, with some modifications [27]. Briefly, transfected cells were lysed in extraction buffer on ice for 10 min and centrifuged at 10,000 × g at 4◦ C for 5 min. The protein concentration in the supernatant was quantified, and -secretase activity was measured using 100 g (50 l) of protein.
-secretase activity was measured using the fluorescence resonance energy transfer (FRET) method. The sample was mixed with EDANS/DABCYL and then incubated for 2 h at 37◦ C. The fluorescence was measured with an emission wavelength of 500 nm and an excitation wavelength of 350 nm using a Spectra Max Gemini EM spectrophotometer (Molecular Devices, Sunnyvale, CA, USA). Using the same lysate, ␣-secretase activity was measured using the fluorogenic ␣-secretase substrate II with EDANS/DABCYL (480 nm emission and 330 nm excitation; Millipore), and ␥-secretase activity was measured using a fluorogenic ␥-secretase substrate with NMA/DNP (435 nm emission and 330 nm excitation; Millipore) after 2 h of incubation. Determination of AβPP half-life HEK293T cells were transiently cotransfected with Flag-APP and either HA-ATBF1 or pCI HA (control vector). After 24 h, cells were incubated in the presence or absence of cycloheximide (40 g/ml) for 0, 4, 8, 12, or 24 h and then lysed. The cell lysates were analyzed by western blotting with anti-Flag, anti-HA, and antiactin antibodies. ATBF1 knockdown ATBF1 knockdown experiments were performed using predesigned Stealth™ siRNA against ATBF1 (ATBF1 siRNA) and Stealth siRNA negative control (Invitrogen) as previously described [21]. The ATBF1 siRNA sequences were as follows: ATBF1-siRNA sense (5 -UAC ACU GGU CAG ACC ACU GUC CUU G-3 ) and antisense (5 -CAA GGA CAG UGG UCU GAC CAG UGU-3 ). Briefly, The HEK293APP cells were transiently transfected with 50 nM ATBF1 siRNA or control siRNA using Lipofectamine RNAiMAX (Invitrogen) in accordance with the manufacturer’s instructions. The knockdown effects were examined after 48 h of incubation. The cultures were then processed for western blot analysis. Statistical analysis Statistical analysis was performed using a statistical package, GraphPad prism software (GraphPad Software, San Diego, CA, USA). All values are presented as the mean ± SEM of at least three independent experiments.
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Non-AD
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AD
Fig. 1. ATBF1 is highly expressed in the cytoplasm of hippocampal neurons in the AD brain. Coronal section of hippocampal tissue from non-AD (A, C) and AD brains (B, D). Sections were immunostained with anti-ATBF1 antibody (D1-120), and all sections were counterstained with hematoxylin. C and D are higher magnifications of the boxed area in A and B, respectively.
RESULTS ATBF1 is highly expressed in the cytoplasm of neurons in the AD brain Previously, we reported that ATBF1 expression is increased in the brains of 17-month-old Tg2576 mice overexpressing human APP with the Swedish mutation compared with age-matched wild-type mice [21]. However, the distribution of ATBF1 in human brains, as well as whether levels of ATBF1 are altered in AD brains, had not been explored. Hence, we performed an immunohistochemical study of ATBF1 expression in the hippocampus, one of the most affected brain regions in AD. We found ATBF1 immunoreactivity was more intense in the cytoplasm of hippocampal pyramidal neurons in AD brains in comparison with non-AD brains (Fig. 1). Interestingly, ATBF1 immunoreactivity was also observed in amyloid plaques in AD brains. Overexpression of ATBF1 increases Aβ generation The presence of ATBF1 in amyloid plaques and the increased levels of this protein in the cytoplasm of hippocampal neurons in AD brains suggested a potential role of the protein in APP processing and A generation. To examine whether ATBF1 plays a role in A production, we investigated whether ATBF1
Fig. 2. Overexpression of ATBF1 increases A production. A and B, HEK293T cells (A) or SH-SY5Y cells (B) were transiently cotransfected with pcDNA3-Flag-tagged APP695 (Flag-APP) and either pCI-HA-tagged ATBF1 (HA-ATBF1) or pCI-HA (control vector). Medium was replaced with fresh medium 16 h after transfection, and conditioned medium was collected another 32 h later. Levels of secreted A40 and A42 in the medium were measured by sandwich ELISA. The A levels were normalized to the amount of total protein in the transfected cells. All the values are presented as the mean ± SEM of three independent experiments. ∗ p < 0.05, ∗∗ p < 0.01, versus control, as determined by Student’s t-test.
could modulate the amount of A peptide in a cell culture model. For this purpose, we overexpressed human ATBF1 in HEK293T and SH-SY5Y (human neuroblastoma) cells and examined the effect of overexpression on the production of secreted A peptide. HEK293T and SH-SY5Y cells were transiently cotransfected with either HA-tagged ATBF1 (HAATBF1) or empty vector control (pcDNA-HA) and Flag-tagged human APP695 (Flag-APP). Fortyeight hours after transfection, the conditioned media were analyzed with sandwich ELISA to specifically assess levels of human A40 and A42 . ELISA results revealed that levels of secreted A40 and A42 in HAATBF1-transfected HEKT293 cells were significantly increased by 77% and 67%, respectively, compared with the empty vector transfection control (Fig. 2A). Similar to HEK293T cells, overexpression of ATBF1 in SH-SY5Y cells also significantly increased A40 and A42 levels in media by 101% and 43%, respectively, compared with the empty vector-transfected control cells (Fig. 2B).
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Next, we measured the amounts of cellular APP and secreted sAPP in media by western blot using Flag antibody to examine the effect of ATBF1 overexpression on APP processing. When ATBF1 was overexpressed in HEK-293T cells, the levels of cellular APP and sAPP were greatly increased compared with empty vector-transfected cells. Quantification of western blots from three independent experiments showed that the levels of cellular APP and sAPP were increased 3.9 and 3.7-fold, respectively, compared with empty vector-transfected cells (Fig. 3A). Similar results were obtained with SH-SY5Y cells; the levels of cellular APP and sAPP were increased 4 and 3.5-fold, respectively, compared with controls (Fig. 3B). We also measured the levels of sAPP␣ and sAPP in the media of HEK-293T and SH-SY5Y cells transfected with HA-ATBF1 and Flag-APP by western blot analysis using specific antibodies against sAPP␣ and sAPP, and we assessed the levels of C-terminal fragment (CTF) ␣ and CTF using antiC-terminal APP antibody (Supplementary Fig. 1). Consistent with the results for sAPP, the levels of sAPP␣ and sAPP were increased by ATBF1 overexpression. The levels of CTF␣ and CTF were also increased by ATBF1 overexpression. These results indicate that ATBF1 regulates levels of cellular APP and sAPP and affects A production, suggesting an important role of ATBF1 in APP processing. To exclude the possibility that the transfection efficiency of Flag-APP is higher when it is cotransfected with HA-ATBF1 than with empty vector, HEK293T cells were cotransfected with a GFP construct and with either HA-ATBF1 or empty vector. Forty-eight hours after transfection, GFP levels were evaluated by western blotting with an anti-GFP antibody. Cotransfection with either HA-ATBF1 or empty vector resulted in similar levels of GFP (Fig. 3C). This indicates that the increase in levels of cellular APP and sAPP induced by ATBF1 overexpression is not an artifact of greater transfection efficiency. It has been reported that altered levels of APP processing enzymes affect A production. ATBF1 is a transcription factor that regulates the expression of several genes, including alpha-fetoprotein, p21, and neuroD1 [19, 20, 28]. Thus, it is possible that overexpression of ATBF1 may affect the expression levels of APP processing enzymes, resulting in increased A production. Therefore, we next examined whether ATBF1 affects the expression of APP processing enzymes. We measured protein levels of ADAM10 (␣secretase), BACE1 (-secretase), and PS1 (␥-secretase component) after cotransfection of HEK293T and SH-
SY5Y cells with Flag-APP and either HA-ATBF1 or empty vector. The levels of these proteins were not altered by ATBF1 overexpression (Fig. 3A, B). We also directly measured the activity of these secretases using a fluorescent substrate and the FRET method. The activities of the various secretases in HEK-293T or SH-SY5Y cells transfected with HA-ATBF1 were not changed compared with empty vector-transfected cells (Supplementary Fig. 2). Taken together, these results indicate that the increase in A production induced by ATBF1 overexpression was not caused by changes in the activity or levels of these secretases. ATBF1 interacts with cytoplasmic domain of AβPP To gain insight into the mechanisms by which ATBF1 regulates APP processing and A production, we analyzed the subcellular localization of ATBF1 and APP by immunofluorescence staining after cotransfection of HEK293T and SH-SY5Y cells with FlagAPP and either HA-ATBF1 or empty vector. Our previous studies showed that exogenous ATBF1 was localized in the nucleus in mouse neuroblastoma cells (N2A cells) and primary rat cortical neurons [20, 21]. Consistent with these previous results, we found that exogenous ATBF1 was localized in the nucleus in HEK-293T and SH-SY5Y cells when the HA-ATBF1 vector was transfected alone (Fig. 4A). However, we found that exogenous ATBF1 was localized in the cytoplasm of cells when the HA-ATBF1 vector was cotransfected with the Flag- APP vector, and that ATBF1 and APP co-localized in these cells (Fig. 4A, B). These observations indicate that APP overexpression alters the localization of ATBF1, suggesting that these two proteins may interact. Therefore, we next examined whether ATBF1 could interact with APP using an immunoprecipitation assay. As shown in Fig. 4C, ATBF1 has the ability to coimmunoprecipitate with APP. Reverse immunoprecipitation experiments were also confirmed that APP was coimmunoprecipitated with ATBF1 (Fig. 4D). Next, we also examined whether endogenous ATBF1 interacts with endogenous APP using SH-SY5Y cells using an immunoprecipitation assay. As shown in Fig. 4E, endogenous ATBF1 has the ability to coimmunoprecipitate with endogenous APP. Thus these results indicated that ATBF1 can interact with APP in cultured cells and that the interaction between ATBF1 and APP may affect the distribution of ATBF1 within the cells. Several studies suggest that the cytoplasmic domain of APP is responsible for binding to several
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Fig. 3. Overexpression of ATBF1 increases the steady-state levels of cellular APP and soluble APP (sAPP) in the medium. HEK293T cells (A) or SH-SY5Y cells (B) were transiently cotransfected with pcDNA3-Flag-APP695 (Flag-APP) and either pCI-HA-tagged ATBF1 (HA-ATBF1) or pCI-HA (control vector). Medium was replaced with fresh medium 16 h after transfection and cells were lysed another 32 h later. The cell lysates were analyzed by western blotting with anti-HA (to detect HA-tagged ATBF1), anti-Flag (M2; to detect Flag-tagged APP), anti-PS1 (CT; C-terminal), anti-BACE1, anti-ADAM10, and anti-actin antibodies. Forty-eight hours after transfection, the culture medium was collected and proteins were analyzed by western blotting using an anti-Flag (M2) antibody to detect Flag-tagged APP. C) HEK293T cells were transiently cotransfected with pcDNA3-GFP and either pCI-HA-tagged ATBF1 or pCI-HA (control vector). Medium was replaced with fresh medium 16 h after transfection, and cells were lysed another 32 h later. The cell lysates were analyzed by western blotting with anti-HA (to detect HA-tagged ATBF1), anti-GFP and anti-actin antibodies. A representative immunoblot is shown (left panel), and bands were quantified by densitometry, normalized to actin, and expressed as a value relative to that of control (right panel). All the values are presented as the mean ± SEM of three independent experiments. ∗ p < 0.05, ∗∗ p < 0.01, versus control, as determined by Student’s t-test.
cell surface adaptor proteins. To test the ability of ATBF1 to bind to the C-terminal domain of APP, we next performed a coimmunoprecipitation assay using HEK293T cells transiently cotransfected with APP-C99 (C-terminal fragment of APP) and either HA-ATBF1 or empty vector. As show in
Fig. 5A, ATBF1 could interact with C99. In a parallel experiment, we measured A40 and A42 levels in the media of these cotransfected cells by ELISA after cotransfection. We found that overexpression of ATBF1 increased A40 and A42 levels in the media of APP-C99-transfected cells compared with
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A
C
B
D
E
Fig. 4. Overexpression of APP alters ATBF1 localization by binding to the protein. A) HEK293 cells (upper picture) or SH-SY5Y cells (lower picture) were transiently transfected with pCI-HA-tagged ATBF1 (HA-ATBF1) alone. Twenty-four hours after transfection, cells were fixed and then incubated with the anti-HA polyclonal antibody to label the exogenous HA-ATBF1. Cells were subsequently labeled with the secondary antibody, Alexa-594-conjugated goat anti-rabbit IgG, for 1 h at room temperature. Nuclei were stained with DAPI. B) HEK293 cells (upper picture) or SH-SY5Y cells (lower picture) were transiently cotransfected with pcDNA3-Flag-APP695 (Flag-APP) and pCIHA-tagged ATBF1 (HA-ATBF1). Twenty-four hours after transfection, cells were fixed and then labeled with the anti-Flag monoclonal and anti-HA polyclonal antibodies for 1 h at room temperature. Immunoreactivity was visualized with an Alexa-488-conjugated goat anti-mouse IgG and Alexa-594-conjugated goat anti-rabbit IgG antibodies. The right panel shows the merged image of ATBF1 and APP labeling. Nuclei were stained with DAPI. C, D) ATBF1 binds to APP. C) HEK293T cells were transiently cotransfected with pcDNA3-Flag-tagged APP695 (Flag-APP) and either pCI-HA-tagged ATBF1 (HA-ATBF1) or pCI HA (control vector). D) HEK293T cells were transiently cotransfected with pCI-HA-tagged ATBF1 (HA-ATBF1) and either pcDNA3-Flag-tagged APP695 (Flag-APP) or pcDNA3 (control vector). Medium was replaced with fresh medium 16 h after transfection, and cells were lysed 32 h later. Cell lysates were immunoprecipitated with the anti-HA antibody in the presence of protein G beads (C) or with the anti-Flag antibody in the presence of protein G beads (D). The immunoprecipitated complex was then subjected to western blotting with the anti-Flag antibody (C) or with anti-HA antibody (D). The lower panel shows a western blot of lysates using anti-Flag, anti-HA and anti-actin antibodies. E) Endogenous ATBF1 also binds to endogenous APP. Lysates from SH-SY5Y cells were immunoprecipitated with the anti-APP or with anti-IgG (as control) antibody in the presence of protein G beads. The immunoprecipitated complex was then subjected to western blotting with the anti-ATBF1 antibody. The lower panel shows a western blot of lysates using anti-ATBF1, anti-APP and anti-actin antibodies. Typical bands representative of three independent experiments with similar results are shown. IP, immunoprecipitation; WB, western blotting.
empty vector-transfected cells (Fig. 5B). These results indicate that ATBF1 binds to the C-terminal of APP, which likely accounts for the ability of ATBF1 to increase A levels. ATBF1 decreases AβPP degradation We hypothesized that the ability of ATBF1 to increase cellular APP levels may result from the capacity of cytoplasmic ATBF1 to slow APP turnover. Thus, APP degradation was examined in ATBF1-overexpressing cells after treatment with
cycloheximide, an inhibitor of de novo protein synthesis. Consistent with our hypothesis, the APP degradation was significantly decreased in cells overexpressing ATBF1 compared with the empty vector-transfected cells (Fig. 6). This data suggests that ATBF1 in the cytoplasm critically impacts APP stability. Reducing endogenous ATBF1 levels decreases levels of Aβ and cellular AβPP To further clarify the role of ATBF1 in APP processing and A production, we analyzed the levels of
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Fig. 5. ATBF1 interacts with APP-C99. A) HEK293T cells were transiently cotransfected with pCI-HA-tagged ATBF1 (HAATBF1) and either pcDNA3-APP-C99 or pcDNA3 (control vector). Medium was replaced with fresh medium 16 h after transfection, and cells were lysed another 32 h later. Cell lysates were immunoprecipitated with the anti-HA antibody in the presence of protein G beads. The immunoprecipitated complex was then subjected to western blotting with the anti-6E10 antibody against APP. The lower panel shows a western blot using anti-6E10, anti-HA and anti-actin antibodies. Typical bands representative of three independent experiments with similar results are shown. B) Effect of ATBF1 on A40 and A42 production in the presence of APP-C99. HEK293T cells were transiently cotransfected with pCI-HA-tagged ATBF1 (HA-ATBF1) and either pcDNA3-APP-C99 or pcDNA3 (control vector). Medium was replaced with fresh medium 16 h after transfection, and conditioned medium was collected another 32 h later. The secreted A40 and A42 in the medium were measured by sandwich ELISA. The A levels were normalized to the amount of total protein in the transfected cells. All the values are presented as mean ± SEM of three independent experiments (n = 4). ∗ p < 0.05, ∗∗ p < 0.01, versus control, as determined by Student’s t-test. IP, immunoprecipitation; WB, western blotting.
cellular APP, sAPP, and A in ATBF1 knockdown cells. For this experiment, we used HEK- APP cells, which stably express human APP695. In these cells, endogeneous ATBF1 is localized in the cytoplasm (Fig. 7A). ATBF1 or control siRNA oligonucleotide [21] was transfected into HEK-APP cells, and the levels of cellular APP, sAPP, and A were examined by western blotting or sandwich ELISA. As shown in Fig. 7B, the transfection of ATBF1 siRNA decreased
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ATBF1 protein levels by approximately 85% in HEKAPP cells, compared with control siRNA-transfected cells. This result indicates that endogenous ATBF1 can be efficiently knocked down in these cells by transfection of ATBF1 siRNA. When ATBF1 expression was reduced by ATBF1 siRNA, the protein levels of cellular APP and sAPP were greatly reduced, but protein levels of BACE1, PS1, and ADAM10 remained unchanged, compared with control siRNA-transfected cells (Fig. 7B). In a parallel experiment, we measured the levels of secreted A40 and A42 in the medium, and found that ATBF1 knockdown significantly reduced A40 and A42 levels to 22% and 20%, respectively, control siRNA-transfected cells (Fig. 7C). Taken together, these data suggest that cytoplasmic ATBF1 enhances the stability of APP, resulting in increased A production. The C-terminal domain of AβPP is required for the induction of the ATBF1-mediated Aβ production The APP cytoplasmic domain has two functional motifs; the 667 VTPEER672 and 681 GYENPTY687 motifs [29–31]. The former is phosphorylated by several kinases, which induces structural change in the cytoplasmic region. The latter is responsible for binding to several cell surface adaptor proteins, including X11L. Therefore, we analyzed whether these motifs are required for the effects of ATBF1 on the steady-state levels of APP and A production using three different cytoplasmic deletion constructs (APP-CTF1, 652–665; APP-CTF2, 666–680; APP-CTF3, 681–690 [referring to APP695 numbering]). When APP-CTF1 was transiently cotransfected with HA-ATBF1, levels of cellular APP and secreted A40 and A42 in the medium were increased. These increases were compa-
Fig. 6. ATBF1 decreases APP degradation. HEK293T cells were transiently cotransfected with pcDNA3-Flag-tagged APP695 (Flag-APP) and either pCI-HA-tagged ATBF1 (HA-ATBF1) or pCI HA (control vector). After 24 h, cells were incubated with or without cycloheximide (40 g/ml) for 0, 4, 8, 12, or 24 h and then lysed. The cell lysates were analyzed by western blotting with anti-Flag, anti-HA and anti-actin antibodies. Typical bands representative of three independent experiments with similar results are shown.
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A
B
C
Fig. 7. ATBF1 knockdown decreases the levels of cellular APP, soluble APP (sAPP), and secreted A40 and A42 in HEK293 cells stably expressing APP695 (HEK293-APP cells). A) endogenous ATBF1 is localized in the cytoplasm of HEK293-APP cells. HEK293-APP cells were stained with anti-ATBF1 (D1-120) antibody. Cell nuclei were also stained with DAPI. B) Knockdown of ATBF1 in HEK293-APP cells. HEK293-APP cells were transiently cotransfected with ATBF1 siRNA or control siRNA for 48 h. The levels of ATBF1, cellular APP, soluble APP (sAPP), BACE1, PS1, ADAM10, and actin were determined by western blotting using anti-ATBF1 (D1-120), anti-APP (22C11; for cellular and soluble APP), anti-PS1, anti-ADAM10 and anti-actin antibodies, respectively. C) HEK293-APP cells were transiently cotransfected with ATBF1 siRNA or control siRNA for 48 h, and levels of secreted A40 and A42 in the medium were measured by sandwich ELISA. The A levels were normalized to the amount of total protein in the transfected cells. All the values are presented as the mean ± SEM of three independent experiments. ∗ p < 0.05, ∗∗ p < 0.01, versus control, as determined by Student’s t-test.
rable to those following cotransfection of full-length APP with HA-ATBF1. However, when APP-CTF2 or APP-CTF3 was transiently cotransfected with HAATBF1, levels of cellular APP (Fig. 8C) and secreted A40 and A42 (Fig. 8B) in the medium were not changed. Next, we examined whether ATBF1 could interact with amino acids 666–690 of the APP Cterminal. As shown in Fig. 9, ATBF1 interacts with full-length APP and APP-CTF1, but not with the
CTF2 or CTF3 deletion mutants. These results indicate that ATBF1 interacts with amino acids 666–690 of APP, and that this interaction affects the steady-state levels of APP as well as A production. DISCUSSION ATBF1, a 404-kDa transcription factor that contains four homeodomains and 23 zinc finger motifs,
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Fig. 8. The C-terminal domain of APP is involved in ATBF1-mediated stabilization of the protein and enhancement of A production. A) Schematic representation of APP mutant constructs. B) Flag-tagged full-length APP (APP695, control) and the three different Flag-tagged cytoplasmic deletion mutants of APP (APP-CTF1, 652–665; APP-CTF2, 666–680; APP-CTF3, 681–690 [referring to APP695 numbering]) were cotransfected with either HA-tagged ATBF1 (HA-ATBF1) or empty vector control (HA) into HEK293T cells. Medium was replaced with fresh medium 16 h after transfection, and the conditioned medium was collected another 32 h later, and the amounts of A40 (left panel) and A42 (right panel) in the medium were measured by sandwich ELISA. The A levels were normalized to the amount of total protein in the transfected cells. Furthermore, cells were lysed, and the lysates were analyzed by western blotting with anti-Flag antibody to detect Flag-tagged full-length APP and the three different Flag-tagged cytoplasmic deletion mutants of APP (C). A representative immunoblot is shown (left panel), and bands were quantified by densitometry, normalized to actin, and expressed as a value relative to that of the control (right panel). All the values are presented as mean ± SEM of three independent experiments. ∗ p < 0.05, ∗∗ p < 0.01, versus control, as determined by Student’s t-test.
is involved in transcriptional regulation and differentiation in many types of cells, including neurons and pubertal mammary gland cells [20, 32]. We previously reported that ATBF1 expression is increased in the brains of 17-month-old Tg2576 mice overexpressing human APP with the Swedish mutation compared with age-matched wild-type mice [21]. However, it remained unknown whether ATBF1 levels were also elevated in AD brains. Therefore, in the present study,
we initially performed immunohistochemical staining for ATBF1 in hippocampal tissue of AD and non-AD brains. We found that ATBF1 is localized in the cytoplasm of neurons in both AD and non-AD brains, and that ATBF1 levels are increased in the AD brain compared with the non-AD brain. We previously reported that ATBF1 is localized in the nucleus in post-mitotic neurons, where it induces cell cycle arrest and promotes neuronal differentiation in the developing rat
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Fig. 9. ATBF1 binds to amino acid 666–690 of C-terminal APP. A) Flag-tagged full-length APP (APP695, control) and the three different Flag-tagged cytoplasmic deletion mutants of APP (CTF1, CTF2 and CTF3) were cotransfected with either HA-tagged ATBF1 (HA-ATBF1) or empty vector control (HA) into HEK293T cells. Medium was replaced with fresh medium 16 h after transfection, and cells were lysed 32 h later. Cell lysates were immunoprecipitated with the anti-HA antibody in the presence of protein G beads. The immunoprecipitated complex was then subjected to western blotting with the anti-Flag antibody. The lower panel shows a western blot of lysates using anti-Flag, anti-HA and anti-actin antibodies. Typical bands representative of three independent experiments with similar results are shown. IP, immunoprecipitation; WB, western blotting.
brain. However, ATBF1 is localized in the cytoplasm of proliferating cells, indicating that the nuclear localization of ATBF1 is required for cell cycle arrest [20, 33]. Therefore, it is possible that nuclear localization of ATBF1 is not required in post-mitotic neurons in AD or non-AD brains. The increase in ATBF1 levels in hippocampal neurons in AD brains could be triggered by the accumulation of extracellular A. Indeed, A increases the levels of ATBF1 mRNA and protein in cultured rat cortical neurons [21]. It has been reported that the levels of proteins involved in cell cycle progression, such as Cdc2, Cdk4, Cyclin B1 and Cyclin D, are increased in vulnerable neurons in AD brains [34–37]. Although the cytoplasmic function of ATBF1 is unknown, A may induce neurons to re-enter the cell cycle [38, 39], and increased cytoplasmic ATBF1 levels may enhance this process. It has been reported that ATBF1 degradation occurs through the ubiquitin-proteasome pathway [40]. Because the ubiquitin-proteasome pathway is impaired in AD [41, 42], ATBF1 may remain undegraded in the AD brain. Interestingly, ATBF1 immunoreactivity was observed in amyloid plaques in AD brains, suggesting that ATBF1 released from dying neurons may interact with
A or amyloid fibrils in amyloid plaques. Alternatively, ATBF1 may interact with a different protein, which also accumulates in amyloid plaques. Future studies should address the localization of ATBF1 in amyloid plaques. Next, we examined whether the increased cytoplasmic ATBF1 levels could affect APP processing and A production. A deposition appears to be a critical event in AD. However, although familial APP mutations can enhance A production, almost all sporadic cases of AD occur with wild-type APP. Therefore, a detailed understanding of the mechanisms by which A is generated from APP is crucial for clarifying the pathogenesis of the disease. In the present study, we found that cotransfection of ATBF1 and APP695 in HEK293T and SH-SY5Y cells increased cellular APP levels through the binding of ATBF1 to the APP cytoplasmic domain (APP-C99), resulting in an increase in A production. The quantity of pathogenic A peptide generated in the brain is dependent on the levels and activities of the ␣-, -, and ␥-secretases. However, our present findings show that ATBF1 has no effect on the activity or protein levels of the enzymes that increase A production (BACE1, PS1) or of the enzyme that reduces A generation (ADAM10). Interestingly, the localization of the exogenous ATBF1 shifted from the nucleus to the cytoplasm upon APP overexpression in cultured cells. This change in localization was likely mediated by the binding of ATBF1 to APP. Previously, we have indicated that exogenous ATBF1 was localized in the nucleus of many types of cells, including mouse neuroblastoma cells and primary neurons. Supporting these data, we found similar result using HEK293T and SHSY-5Y cells when exogenous ATBF1 was expressed alone. However, when ATBF1 was coexpressed with APP, exogenous ATBF1 was redistributed from the nucleus to the cytoplasm of cells and colocalized with APP in these cells. Moreover, our immunoprecipitation results revealed that ATBF1 interacts with APP. Taken together, our findings indicate that APP overexpression results in a change in ATBF1 localization through a binding interaction between these two proteins. Almost all members of APP binding proteins, including cell surface adaptor proteins such as Fe65 and X11, bind to the APP cytoplasmic domain and affect APP internalization and processing to A. For example, Fe65 increases, whereas X11 decreases, A secretion by regulating the cell surface levels of APP [43–46]. Therefore, we performed a coimmunoprecipitation experiment to determine whether ATBF1 could
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interact with the C-terminal fragment of APP (APPC99). We found that ATBF1 interacts with APP-C99. In contrast, reducing ATBF1 levels using siRNA in HEK293-APP cells, where the protein is expressed in the cytoplasm, decreases cellular APP levels and A production. We also examined whether ATBF1 could stabilize APP, and we demonstrated in a time course experiment with cycloheximide that ATBF1 overexpression attenuates APP degradation in a timedependent manner. These data demonstrate that cytoplasmic ATBF1 stabilizes APP. Therefore, the higher cytoplasmic levels of ATBF1 seen in AD brains are also expected to increase the amount of APP in vivo. Finally, we sought to identify the APP binding site in ATBF1. The APP cytoplasmic domain has two functional motifs; the 667 VTPEER672 and 681 GYENPTY687 motifs. The former is phosphorylated by several kinases, which induces structural changes in the cytoplasmic region. The latter is responsible for binding to several cell surface adaptor proteins, including X11L. In the present study, we found that deletion of the 666 AVTPEER672 and 681 GYENPTYKEF690 sequences does not increase steady-state levels of APP or A. In addition, our immunoprecipitation results showed that deletion of amino acids 666–672 or 681–690 in APP abolished interaction of ATBF1 with APP, while deletion of 651–666 did not. These results indicate that amino acids 666–690 in the APP cytoplasmic domain are required for ATBF1 to increase the steady-state levels of APP and A, and that this region might be responsible for binding to ATBF1. The APP cytoplasmic domain contains an NPXY motif that is important for the internalization of a variety of transmembrane proteins via clathrin-coated pits [29]. Deletion of NPXY in APP decreases internalization and reduces accumulation of the protein in the lysosomal fraction [47, 48]. Furthermore, chimeric proteins containing the cytosolic domain of APP are rapidly internalized [49]. Recently, it was demonstrated that binding of X11a to this region increases the half-life of APP in cultured cells [48]. This interaction could have important biological consequences, because endocytosis of APP via the clathrin pathway and targeting to endosomes is important for the processing of APP and the generation of A. We have not yet demonstrated whether increased levels of ATBF1 in the cytoplasm affect endocytosis of APP. Therefore, further studies are necessary to more fully clarify the role of ATBF1 in APP processing. In summary, we found increased levels of ATBF1 in the cytoplasm of hippocampal pyramidal neurons in
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AD brains compared with non-AD brains. Moreover, our in vitro experiments revealed that ATBF1 binds to the C-terminal of APP, thereby increasing the steadystate levels of APP and resulting in increased A production. Our findings provide insight into the pathogenesis of AD, and we anticipate that they will lay the foundation for novel therapeutic strategies based on reducing cytoplasmic ATBF1 levels. ACKNOWLEDGMENTS This work was supported by a Grant-in-Aid for Scientific Research (C) from the Ministry of Education, Culture, Sports, Science and Technology of Japan (CGJ), by The Japan-Korea Basic Scientific Cooperation Program from the Japan Society for the Promotion of Science (JSPS), Japan (CGJ), by the framework of international cooperation program managed by the National Research Foundation of Korea (NRF2011-616-H00002, EKC), by the National Research Foundation of Korea Grant funded by the Korean Government(NRF-2011-619-E0001, YSK) and by a grant from the Ministry of Health, Labour and Welfare of Japan (Research on Dementia, Health and Labor Sciences Research Grants H23-005) (MM). DISCLOSURE STATEMENT Authors’ disclosures available online (http://www.jalz.com/disclosures/view.php?id=2373). SUPPLEMENTARY MATERIAL The supplementary material is available in the electronic version of this article: http://dx.doi.org/10.3233/ JAD-140612. REFERENCES [1]
[2] [3]
[4]
[5]
Selkoe DJ (2000) Toward a comprehensive theory for Alzheimer’s disease. Hypothesis: Alzheimer’s disease is caused by the cerebral accumulation and cytotoxicity of amyloid beta-protein. Ann N Y Acad Sci 924, 17-25. Selkoe DJ (2001) Alzheimer’s disease: Genes, proteins, and therapy. Physiol Rev 81, 741-766. Tanzi RE, Bertram L (2005) Twenty years of the Alzheimer’s disease amyloid hypothesis: A genetic perspective. Cell 120, 545-555. Hussain I, Powell D, Howlett DR, Tew DG, Meek TD, Chapman C, Gloger IS, Murphy KE, Southan CD, Ryan DM, Smith TS, Simmons DL, Walsh FS, Dingwall C, Christie G (1999) Identification of a novel aspartic protease (Asp 2) as beta-secretase. Mol Cell Neurosci 14, 419-427. Lin X, Koelsch G, Wu S, Downs D, Dashti A, Tang J (2000) Human aspartic protease memapsin 2 cleaves the beta-
256
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
K.-O. Uhm et al. / ATBF1 is a Novel APP binding protein secretase site of beta-amyloid precursor protein. Proc Natl Acad Sci U S A 97, 1456-1460. Sinha S, Anderson JP, Barbour R, Basi GS, Caccavello R, Davis D, Doan M, Dovey HF, Frigon N, Hong J, JacobsonCroak K, Jewett N, Keim P, Knops J, Lieberburg I, Power M, Tan H, Tatsuno G, Tung J, Schenk D, Seubert P, Suomensaari SM, Wang S, Walker D, Zhao J, McConlogue L, John V (1999) Purification and cloning of amyloid precursor protein beta-secretase from human brain. Nature 402, 537-540. Yan R, Bienkowski MJ, Shuck ME, Miao H, Tory MC, Pauley AM, Brashier JR, Stratman NC, Mathews WR, Buhl AE, Carter DB, Tomasselli AG, Parodi LA, Heinrikson RL, Gurney ME (1999) Membrane-anchored aspartyl protease with Alzheimer’s disease beta-secretase activity. Nature 402, 533537. Kimberly WT, LaVoie MJ, Ostaszewski BL, Ye W, Wolfe MS, Selkoe DJ (2003) Gamma-secretase is a membrane protein complex comprised of presenilin, nicastrin, Aph-1, and Pen-2. Proc Natl Acad Sci U S A 100, 6382-6387. Takasugi N, Tomita T, Hayashi I, Tsuruoka M, Niimura M, Takahashi Y, Thinakaran G, Iwatsubo T (2003) The role of presenilin cofactors in the gamma-secretase complex. Nature 422, 438-441. Buxbaum JD, Liu KN, Luo Y, Slack JL, Stocking KL, Peschon JJ, Johnson RS, Castner BJ, Cerretti DP, Black RA (1998) Evidence that tumor necrosis factor alpha converting enzyme is involved in regulated alpha-secretase cleavage of the Alzheimer amyloid protein precursor. J Biol Chem 273, 27765-27767. Koike H, Tomioka S, Sorimachi H, Saido TC, Maruyama K, Okuyama A, Fujisawa-Sehara A, Ohno S, Suzuki K, Ishiura S (1999) Membrane-anchored metalloprotease MDC9 has an alpha-secretase activity responsible for processing the amyloid precursor protein. Biochem J 343 Pt 2, 371-375. Lammich S, Kojro E, Postina R, Gilbert S, Pfeiffer R, Jasionowski M, Haass C, Fahrenholz F (1999) Constitutive and regulated alpha-secretase cleavage of Alzheimer’s amyloid precursor protein by a disintegrin metalloprotease. Proc Natl Acad Sci U S A 96, 3922-3927. Lee JH, Lau KF, Perkinton MS, Standen CL, Rogelj B, Falinska A, McLoughlin DM, Miller CC (2004) The neuronal adaptor protein X11beta reduces amyloid beta-protein levels and amyloid plaque formation in the brains of transgenic mice. J Biol Chem 279, 49099-49104. Lee JH, Lau KF, Perkinton MS, Standen CL, Shemilt SJ, Mercken L, Cooper JD, McLoughlin DM, Miller CC (2003) The neuronal adaptor protein X11alpha reduces Abeta levels in the brains of Alzheimer’s APPswe Tg2576 transgenic mice. J Biol Chem 278, 47025-47029. Santiard-Baron D, Langui D, Delehedde M, Delatour B, Schombert B, Touchet N, Tremp G, Paul MF, Blanchard V, Sergeant N, Delacourte A, Duyckaerts C, Pradier L, Mercken L (2005) Expression of human FE65 in amyloid precursor protein transgenic mice is associated with a reduction in betaamyloid load. J Neurochem 93, 330-338. Sano Y, Syuzo-Takabatake A, Nakaya T, Saito Y, Tomita S, Itohara S, Suzuki T (2006) Enhanced amyloidogenic metabolism of the amyloid beta-protein precursor in the X11L-deficient mouse brain. J Biol Chem 281, 3785337860. Wagner T, Pietrzik CU (2012) The role of lipoprotein receptors on the physiological function of APP. Exp Brain Res 217, 377-387. Miura Y, Tam T, Ido A, Morinaga T, Miki T, Hashimoto T, Tamaoki T (1995) Cloning and characterization of an ATBF1
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
isoform that expresses in a neuronal differentiation-dependent manner. J Biol Chem 270, 26840-26848. Morinaga T, Yasuda H, Hashimoto T, Higashio K, Tamaoki T (1991) A human alpha-fetoprotein enhancer-binding protein, ATBF1, contains four homeodomains and seventeen zinc fingers. Mol Cell Biol 11, 6041-6049. Jung CG, Kim HJ, Kawaguchi M, Khanna KK, Hida H, Asai K, Nishino H, Miura Y (2005) Homeotic factor ATBF1 induces the cell cycle arrest associated with neuronal differentiation. Development 132, 5137-5145. Jung CG, Uhm KO, Miura Y, Hosono T, Horike H, Khanna KK, Kim MJ, Michikawa M (2011) Beta-amyloid increases the expression level of ATBF1 responsible for death in cultured cortical neurons. Mol Neurodegener 6, 47. Ando K, Oishi M, Takeda S, Iijima K, Isohara T, Nairn AC, Kirino Y, Greengard P, Suzuki T (1999) Role of phosphorylation of Alzheimer’s amyloid precursor protein during neuronal differentiation. J Neurosci 19, 4421-4427. Araki Y, Miyagi N, Kato N, Yoshida T, Wada S, Nishimura M, Komano H, Yamamoto T, De Strooper B, Yamamoto K, Suzuki T (2004) Coordinated metabolism of Alcadein and amyloid beta-protein precursor regulates FE65-dependent gene transactivation. J Biol Chem 279, 24343-24354. Sudoh S, Hua G, Kawamura Y, Maruyama K, Komano H, Yanagisawa K (2000) Intracellular site of gamma-secretase cleavage for Abeta42 generation in neuro 2a cells harbouring a presenilin 1 mutation. Eur J Biochem 267, 2036-2045. Tomita S, Kirino Y, Suzuki T (1998) Cleavage of Alzheimer’s amyloid precursor protein (APP) by secretases occurs after O-glycosylation of APP in the protein secretory pathway. Identification of intracellular compartments in which APP cleavage occurs without using toxic agents that interfere with protein metabolism. J Biol Chem 273, 6277-6284. Tomita S, Ozaki T, Taru H, Oguchi S, Takeda S, Yagi Y, Sakiyama S, Kirino Y, Suzuki T (1999) Interaction of a neuron-specific protein containing PDZ domains with Alzheimer’s amyloid precursor protein. J Biol Chem 274, 2243-2254. Kang IJ, Jang BG, In S, Choi B, Kim M, Kim MJ (2013) Phlorotannin-rich Ecklonia cava reduces the production of beta-amyloid by modulating alpha- and gamma-secretase expression and activity. Neurotoxicology 34, 16-24. Miura Y, Kataoka H, Joh T, Tada T, Asai K, Nakanishi M, Okada N, Okada H (2004) Susceptibility to killer T cells of gastric cancer cells enhanced by Mitomycin-C involves induction of ATBF1 and activation of p21 (Waf1/Cip1) promoter. Microbiol Immunol 48, 137-145. Chen WJ, Goldstein JL, Brown MS (1990) NPXY, a sequence often found in cytoplasmic tails, is required for coated pit-mediated internalization of the low density lipoprotein receptor. J Biol Chem 265, 3116-3123. Nordstedt C, Caporaso GL, Thyberg J, Gandy SE, Greengard P (1993) Identification of the Alzheimer beta/A4 amyloid precursor protein in clathrin-coated vesicles purified from PC12 cells. J Biol Chem 268, 608-612. Taru H, Kirino Y, Suzuki T (2002) Differential roles of JIP scaffold proteins in the modulation of amyloid precursor protein metabolism. J Biol Chem 277, 27567-27574. Li M, Fu X, Ma G, Sun X, Dong X, Nagy T, Xing C, Li J, Dong JT (2012) Atbf1 regulates pubertal mammary gland development likely by inhibiting the pro-proliferative function of estrogen-ER signaling. PLoS One 7, e51283. Ishii Y, Kawaguchi M, Takagawa K, Oya T, Nogami S, Tamura A, Miura Y, Ido A, Sakata N, Hashimoto-Tamaoki T, Kimura T, Saito T, Tamaoki T, Sasahara M (2003) ATBF1-A protein,
K.-O. Uhm et al. / ATBF1 is a Novel APP binding protein
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
but not ATBF1-B, is preferentially expressed in developing rat brain. J Comp Neurol 465, 57-71. Busser J, Geldmacher DS, Herrup K (1998) Ectopic cell cycle proteins predict the sites of neuronal cell death in Alzheimer’s disease brain. J Neurosci 18, 2801-2807. Liu WK, Williams RT, Hall FL, Dickson DW, Yen SH (1995) Detection of a Cdc2-related kinase associated with Alzheimer paired helical filaments. Am J Pathol 146, 228238. McShea A, Harris PL, Webster KR, Wahl AF, Smith MA (1997) Abnormal expression of the cell cycle regulators P16 and CDK4 in Alzheimer’s disease. Am J Pathol 150, 19331939. Vincent I, Jicha G, Rosado M, Dickson DW (1997) Aberrant expression of mitotic cdc2/cyclin B1 kinase in degenerating neurons of Alzheimer’s disease brain. J Neurosci 17, 35883598. Lopes JP, Oliveira CR, Agostinho P (2009) Cell cycle re-entry in Alzheimer’s disease: A major neuropathological characteristic? Curr Alzheimer Res 6, 205-212. Lopes JP, Oliveira CR, Agostinho P (2009) Cdk5 acts as a mediator of neuronal cell cycle re-entry triggered by amyloidbeta and prion peptides. Cell Cycle 8, 97-104. Dong XY, Fu X, Fan S, Guo P, Su D, Dong JT (2012) Oestrogen causes ATBF1 protein degradation through the oestrogen-responsive E3 ubiquitin ligase EFP. Biochem J 444, 581-590. Master E, Chan SL, Ali-Khan Z (1997) Ubiquitin (Ub) interacts non-covalently with Alzheimer amyloid precursor protein (betaPP): Isolation of Ub-betaPP conjugates from brain extracts. Neuroreport 8, 2781-2786.
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
257
Lopez Salon M, Morelli L, Castano EM, Soto EF, Pasquini JM (2000) Defective ubiquitination of cerebral proteins in Alzheimer’s disease. J Neurosci Res 62, 302-310. Borg JP, Yang Y, De Taddeo-Borg M, Margolis B, Turner RS (1998) The X11alpha protein slows cellular amyloid precursor protein processing and reduces Abeta40 and Abeta42 secretion. J Biol Chem 273, 14761-14766. Miller CC, McLoughlin DM, Lau KF, Tennant ME, Rogelj B (2006) The X11 proteins, Abeta production and Alzheimer’s disease. Trends Neurosci 29, 280-285. Sabo SL, Lanier LM, Ikin AF, Khorkova O, Sahasrabudhe S, Greengard P, Buxbaum JD (1999) Regulation of beta-amyloid secretion by FE65, an amyloid protein precursor-binding protein. J Biol Chem 274, 7952-7957. Xie Z, Dong Y, Maeda U, Xia W, Tanzi RE (2007) RNA interference silencing of the adaptor molecules ShcC and Fe65 differentially affect amyloid precursor protein processing and Abeta generation. J Biol Chem 282, 4318-4325. Koo EH, Squazzo SL (1994) Evidence that production and release of amyloid beta-protein involves the endocytic pathway. J Biol Chem 269, 17386-17389. Ono Y, Kinouchi T, Sorimachi H, Ishiura S, Suzuki K (1997) Deletion of an endosomal/lysosomal targeting signal promotes the secretion of Alzheimer’s disease amyloid precursor protein (APP). J Biochem 121, 585-590. Lai A, Sisodia SS, Trowbridge IS (1995) Characterization of sorting signals in the beta-amyloid precursor protein cytoplasmic domain. J Biol Chem 270, 3565-3573.