- Open Access
Comparative analysis of single and combined APP/APLP knockouts reveals reduced spine density in APP-KO mice that is prevented by APPsα expression
© Weyer et al.; licensee BioMed Central Ltd. 2014
- Received: 7 March 2014
- Accepted: 7 March 2014
- Published: 31 March 2014
Synaptic dysfunction and synapse loss are key features of Alzheimer’s pathogenesis. Previously, we showed an essential function of APP and APLP2 for synaptic plasticity, learning and memory. Here, we used organotypic hippocampal cultures to investigate the specific role(s) of APP family members and their fragments for dendritic complexity and spine formation of principal neurons within the hippocampus. Whereas CA1 neurons from APLP1-KO or APLP2-KO mice showed normal neuronal morphology and spine density, APP-KO mice revealed a highly reduced dendritic complexity in mid-apical dendrites. Despite unaltered morphology of APLP2-KO neurons, combined APP/APLP2-DKO mutants showed an additional branching defect in proximal apical dendrites, indicating redundancy and a combined function of APP and APLP2 for dendritic architecture. Remarkably, APP-KO neurons showed a pronounced decrease in spine density and reductions in the number of mushroom spines. No further decrease in spine density, however, was detectable in APP/APLP2-DKO mice. Mechanistically, using APPsα-KI mice lacking transmembrane APP and expressing solely the secreted APPsα fragment we demonstrate that APPsα expression alone is sufficient to prevent the defects in spine density observed in APP-KO mice. Collectively, these studies reveal a combined role of APP and APLP2 for dendritic architecture and a unique function of secreted APPs for spine density.
- Amyloid precursor protein
- Neuronal morphology
- Spine density
A hallmark of Alzheimer´s disease (AD) is the deposition of Aβ peptides, produced by sequential cleavage of the amyloid precursor protein (APP) by β- and γ-secretase. In the competing non-amyloidogenic pathway that is meditated by α-secretase, APP cleavage occurs at a membrane-proximal site within the Aβ region. Thus, α-secretase processing not only precludes the formation of Aβ peptides but also liberates the large soluble, neuroprotective ectodomain APPsα that is secreted into the extracellular space [1–3]. Classically, synapse loss in AD has mainly been attributed to the synaptotoxic effects of various Aβ species. However, there is increasing evidence that reduced levels of APPsα and loss of APP-mediated functions may contribute to cognitive dysfunction in AD and augmentation of α-secretase activity has been suggested as a therapeutic approach for AD [4, 5]. APP is a member of a small gene family that includes in mammals the APP-like proteins APLP1 and APLP2 (reviewed in ). Although APLPs lack the Aβ region, they share with APP several highly conserved domains, are similarly processed by the same secretases and serve partially redundant functions. Although the physiological functions of APP and APLPs are not fully understood, evidence from mouse models indicates a key role of the APP family for neuronal migration, synaptogenesis, synaptic function and plasticity [6–8]. APP knockout (KO) mice showed reduced grip strength, agenesis of the corpus callosum and impaired spatial learning associated with deficient long-term potentiation (LTP) [9–15]. Interestingly, we could previously demonstrate that APPsα serves a key functional role, as APPsα knockin (APPsα−KI) mice expressing only secreted APPsα rescued the deficits of APP-KO mice, including impairments in grip strength, spatial learning and synaptic plasticity .
At the cellular level, the role of APP and its proteolytic fragments for neuronal morphology appears complex. Transgenic APP overexpression decreased spine density in aged animals, whereas prior to the onset of plaque deposition increases in spine density were observed (reviewed in ). Conversely, age APP-KO mice showed alterations in dendritic arborization  and reduced spine densities on dendrites of cortical and hippocampal neurons . In contrast, earlier studies found an increase in spine density in the cortex of young APP-KO mice  and in autaptic hippocampal APP-KO cultures . These conflicting results might be related to the neuronal cell type and/or age of animals studied, or may be confounded by APLP mediated redundant functions. Indeed, mice lacking single family members are viable, whereas combined APP-/-APLP2-/- and APLP1-/-APLP2-/- mice die shortly after birth due to impaired neuromuscular transmission [20, 21].
Nonetheless, the specific versus redundant function(s) of APP family members for neuronal architecture and spine density and the role of their various proteolytic fragments remained unclear. Here, we performed a systematic comparative analysis of neuronal morphology in the hippocampus of single and combined APP/APLP2-KO mice. These studies revealed a combined and partially redundant role of APP and APLP2 for dendritic architecture and a unique function of APP and secreted APPsα for spine density.
Preparation of slice cultures
Organotypic hippocampal slice cultures were prepared as previously described . P0 mice were decapitated, the hippocampi were dissected in ice-cold Gey’s Balanced Salt Solution (GBSS, containing: kynurenic acid (0.5 μM), adjusted to pH 7.2), sliced transversely at a thickness of 400 μm using a tissue chopper (McIllwain, Wood Dale, IL) and kept for 30 min at 4°C in GBSS. The slices were plated onto Millicell-CM membrane inserts (Millipore, Bedford, MA) and cultivated (37°C, 7% CO2). Three days after preparation, a mixture of anti-mitotic drugs (uridine, cytosine-β-D-arabinofuranoside hydrochloride, 5-fluoro-2’-deoxyuridine) was applied for 24 h in order to reduce the number of non-neuronal cells. In addition, entorhino-hippocampal slice cultures (see , with minor modifications) of Thy1-GFP × APP-KO mice (P3-5) were prepared and cultivated for 12-14 days prior to imaging (age at analysis was thus equivalent to cultures prepared at P0).
Organotypic hippocampal cultures (OHCs) were biolistically transfected at DIV14 using the Helios Gene Gun system (Bio-Rad) including a modified gene gun barrel (for details see ). Plasmid coated microcarriers (gold, diameter 0.6 μm) were shot onto the slices using a helium burst of 70 PSI. To avoid tissue damage by larger particles, culture inserts with a pore width of 3 μm were used as filters. Bullets for transfection were prepared according to the manufacturer’s instructions (BioRad). Briefly, 2 μg plasmid DNA per mg gold was coated onto 0.6 μm gold particles. A membrane targeted farnesylated EGFP (fEGFP) under control of the neuron specific synapsin promoter was transfected, allowing the visualization of the complete dendritic tree. DNA precipitation (CaCl2) and coating onto gold microcarriers was performed following the protocol described by . OHCs were fixed with PFA (4%) three days post-transfection.
Neuronal imaging and analysis
The gene gun mediated delivery of a single gold microcarrier carrying the fEGFP expression plasmid results in the intense labeling of the whole dendritic tree as well as all dendritic spines of an individual pyramidal neuron. For the analysis we have selected only non-overlapping labeled neurons to obtain an unambiguous reconstruction of the entire dendritic arborization. The CA1 neurons selected for analysis were imaged with a Nikon A1R confocal microscope using a 488 nm laser. Each neuron was first imaged using a 20 × objective (Numerical aperture (NA): 0.8) and z-sectioned at 1 μm increments to obtain a three-dimensional reconstruction of the entire dendritic tree, subsequently used for Sholl analysis of total dendritic length and complexity . The morphometric Sholl analysis was obtained from reconstructed neurons using the Neurolucida and NeuroExplorer software (MicroBrightField, Williston, USA). In short, a series of concentric spheres (centered around the soma) were drawn with an intersection interval of 30 μm and the number of dendrites crossing each sphere was calculated. This analysis was done separately for basal and apical dendrites and was plotted against the distance from the soma. We also calculated the total dendritic complexity, which reflects the total number of dendrite crossings for each pyramidal neuron using 10 μm increments. For analysis of spine density in OHCs identical parts of basal and mid-apical dendrites were imaged at a higher magnification with a 60 × 1.4 NA Plan-APO oil immersion objective (zoom factor 1.8) and a z-stack thickness of 0.15 μm. Deconvolution of confocal stacks was done using Huygens DeconvolutionAnalysis software (Nikon Imaging Center, Heidelberg University). Only protrusions emanating laterally from the dendrites and exceeding the threshold of 0.3 μm were included for spine analysis (similar to , with minor alterations). All neurons were imaged and analyzed blind to genotype. In entorhino-hippocampal slice cultures GFP-labeled CA1 neurons were imaged using an upright Zeiss confocal microscope. Quantitative analysis was performed in line with Holtmaat et al. . Only lateral spines were counted exceeding a threshold of 0.4 μm from the dendrite. Again, neurons were analyzed blind to genotype.
Classification of spines
Dendritic spines were classified as stubby-, mushroom- and thin- shaped spines  according to their length (from the base up to the tip of their head) and the ratio between the minimum neck (minneck) and the maximum spine head (maxhead) diameter [29–31]. The following criteria were used for spine subtype classification: stubby (length < 1 μm, maxhead/minneck ratio < 1.5), mushroom (maxhead/minneck ratio ≥ 1.5, independent of spine length), thin (length ≥ 1 μm, maxhead/minneck ratio < 1.5).
Values obtained for spine density, dendrite number or dendritic length were exported to Microsoft Excel or Graphpad Prism for statistical analysis. Comparison of group means was performed using Student’s t-test or ANOVA with an appropriate post hoc test as stated in the results section. Sholl analysis data were compared using repeated measure ANOVA with genotype as the between group factor and distance from soma as the repeated-measure factor. Bonferroni multiple comparison test was used to compare means of a defined distance to soma between different genotypes. All data shown are presented as mean ± SEM if not stated otherwise. Level of significance was set at p < 0.05.
Electrophysiological recordings in organotypic hippocampal cultures
After placing the OHCs in a submerged recording chamber, field excitatory postsynaptic potentials (fEPSPs) were recorded in the stratum radiatum of the CA1 region with a glass micropipette (resistance 2-10 MΩ) filled with 3 M NaCl at a depth of ~100-150 μm. Investigation of the basal synaptic transmission was performed by correlating fEPSP sizes to defined stimulus intensities (input-output curve, 8-22 μA in steps of 2 μA). Presynaptic function and short-term plasticity were explored by using paired-pulse facilitation (PPF) paradigm with interstimulus intervals (ISI) ranging from 10, 20, 40, 80 to 160 ms. Data were collected, stored and analyzed with LABVIEW software (National Instruments, Austin, TX). The initial slope of fEPSPs elicited by stimulation of the Schaffer collaterals was measured over time, and plotted as average ± SEM.
The generation and genotyping of knockout lines was formerly described: APP-KO and APLP1-KO ; APLP2-KO ; APPsα-KI . APP/APLP2 double knockout mice (DKO) were generated by three consecutive crosses. In short, APP-KO single mutants were intercrossed with APLP2-KO mice to obtain mice heterozygous for both loci. After backcrossing these mice onto an APLP2-KO background, heterozygous mice (APP+/-/APLP2-/-) were intercrossed to generate APP/APLP2-DKO mice and APLP2-KO littermate controls. All mice have been backcrossed at least six times to C57BL/6 mice that were used as WT controls. All mice were bred and housed under identical conditions in the same room throughout their lifetime. Crossbreeding of APP-KO with Thy1-GFP mice  yielded Thy1-GFP expressing APP-KO and APP-WT mice. From pups of these lines, entorhino-hippocampal slice cultures were prepared.
Western blot analysis
The fractionation of soluble APPsα and cell bound holoAPP was performed as described by . Briefly, to preserve cell membranes, brain hemispheres were homogenized in 10 volumes of sucrose containing tissue homogenization buffer (THB: 250 mM sucrose, 20 mM Tris-HCl pH 7.4, 1 mM EDTA, 1 mM EGTA, protease inhibitor cocktail) using a Potter-S Homogenisator (B. Braun). Remaining tissue fragments were removed by a low speed spin (5.000 × g, 5 min.). This 10% sucrose homogenate was mixed with an equal volume of 0.4% diethylamin (DEA), 100 mM NaCl and homogenized again by pottering. After high-speed centrifugation (100.000 × g, 1 h, 4°C) the APPsα containing supernatant (SN) was recovered, neutralized with 0.5 M Tris base pH 6.8 and mixed with 2× sample buffer for loading. Gel loading was normalized to total protein content determined by the BCA method (Pierce). Samples were separated by SDS-PAGE (10% Tris/tricine gels). Proteins were electroblotted onto polyvinylidene fluoride membrane (Immobilon-P, Millipore) and detected by Western blotting using monoclonal m3.2 antibody (at 1:1000), specific for the C-terminus of APPsα . Antibody directed against β-tubulin was from Millipore (MAB3408, 1:10.000).
The study complies with German legislation on animal welfare and experimentation.
CA1 pyramidal cells of APLP2-KO and APLP1-KO mice show normal neuronal morphology
Consistent with Sholl analysis neither total dendritic complexity (Figure 1e) nor total dendritic length (Figure 1f) of APLP2-KO neurons was significantly affected (Student’s t-test, n.s.). Similarly to the results obtained for APLP2-KO neurons, analysis of APLP1-KO CA1 neurons revealed no significant differences in total dendritic length or dendritic branching (Additional file 1: Figure S1). These results indicate that neither lack of APLP2 nor of APLP1 causes major alterations in the neuronal architecture of mature CA1 pyramidal cells in organotypic hippocampal cultures.
APP-KO neurons show reduced complexity of apical dendrites and an increased number of primary and secondary basal dendrites
Due to the perinatal lethality of APP/APLP2-DKO mice we used OHCs prepared at P0 in this study. To functionally characterize these preparations in more detail and to assess whether morphological defects might be related to compromised synaptic transmission, recordings of field potentials (fEPSPs) were performed (Figure 2g) in stratum radiatum corresponding to mid-apical regions of CA1 cells at a distance of ~100-200 μm from the soma. Field potentials could readily be measured, indicating functionally intact synaptic connections of the Schaffer collateral CA3/CA1 pathway. Compared to WT slices, APP-KO slices showed no significant differences in basal synaptic transmission (Figure 2g). In addition, we also studied short-term plasticity and analyzed paired-pulse facilitation (PPF) at various interstimulus intervals (see Figure 2h). PPF could readily be induced in both WT and APP-KO OHCs at all interstimulus intervals tested, indicating the functionality of presynaptic components in these preparations. No significant differences in PPF were detectable in APP-KO slices compared to WT slices (Figure 2h). Taken together these data suggest that branching defects observed in APP-KO mice are not secondary to major defects in basal synaptic transmission.
APP/APLP2 double knockout mutants show additional branching defects as compared to single KO mutants
Although APLP2-KO neurons showed unaltered neuronal morphology we next assessed whether a redundant function of APLP2 for neuronal architecture might have been masked and compensated for by the presence of APP. Thus, to circumvent functional compensation, we studied neuronal morphology in APP/APLP2-DKO cultures in comparison to APP-KO and APLP2-KO control cultures and asked whether the combined loss of APP and APLP2 would lead to additional defects beyond those already seen in APP-KO mice.
The additional branching defects of APP/APLP2-DKO neurons as compared to APLP2-KO neurons were also reflected in a now significantly reduced total dendritic complexity and total dendritic length (Additional file 1: Figure S2e, f; Student’s t-test, p ≤ 0.05). Taken together these data indicate functional redundancy and suggests that both APP and APLP2 are required for normal neuronal morphology.
APP-KO neurons show a highly reduced spine density that is not further decreased by an additional lack of APLP2
In contrast to APP-KO pyramidal cells, we were unable to detect significant differences in spine density in basal or apical dendrites of APLP2-KO mice (Figure 4a, b; One-way ANOVA with Bonferroni multiple comparison test, p > 0.05). To determine whether APLP2 has a similar and potentially redundant role for spine density as observed for dendritic complexity and arborization, we also determined spine density in combined APP/APLP2-DKO neurons. In double mutants, we detected again a prominent reduction in spine density compared to dendrites of APLP2-KO and WT neurons (Figure 4a,b; One-way ANOVA with Bonferroni post hoc test, p ≤ 0.001). Spine density was, however, not further reduced by an additional lack of APLP2 in APP/APLP2-DKO neurons, as evidenced by a similar, not significantly different reduction in spine density in DKO neurons as compared to APP-KO neurons (Figure 4a,b). Next, we also determined spine density in APLP1-KO versus WT CA1 neurons. As seen for APLP2-KO neurons, spine density was not significantly affected by the lack of APLP1 (Figure 4a, b).
Expression of APPsα prevents spine density deficits and altered spine type distribution
We also compared the size and form of dendritic spines, as changes in these parameters are expected to have a major impact on biochemical signaling and electrophysiological properties of synapses [38, 39]. Three major spine types can be distinguished by morphological criteria: stubby, thin and mushroom spines. This classification is based on measurements of spine length and additionally the ratio between the spine head and spine neck diameter providing objective criteria (see Figure 5e and materials and methods) to classify the great variety of spine morphologies [29–31]. Spine type analysis (see Figure 5e) revealed that APP-KO CA1 neurons show significantly fewer mushroom-type spines (62.8 ± 0.4% versus 71.5 ± 0.4%; n = 14-15 neurons/genotype and more than 4300 spines/genotype, One-way ANOVA with Bonferroni multiple comparison test, p ≤ 0.001) and a corresponding increase in stubby spines (26.6 ± 0.4% versus 20.1 ± 0.3%, One-way ANOVA with Bonferroni multiple comparison test, p ≤ 0.05).
Again, for APPsα-KI neurons, however, no significant alterations in spine type distribution were detectable as compared to WT neurons, suggesting that APPsα is sufficient for signals mediating normal spine type distribution (Figure 5e; stubby spines: ANOVA F(2,41) = 7.266, p = 0.002; mushroom spines: ANOVA F(2,41) = 11.43, p = 0.0001; thin spines: ANOVA F(2,41) = 2.064, p = 0.1399). No significant alterations in spine length were detectable in any of the genotypes studied (Figure 5d; One-way ANOVA, F(2,41) = 1.254, p = 0.30, n.s.; WT (1.047 ± 0.03 μm), APP-KO (1.079 ± 0.05 μm) and APPsα-KI (1.128 ± 0.03 μm)).
The role of APPsα for dendritic branching appears to be more complex. Although APPsα-KI mice showed a rescue of dendritic branching of distal apical segments (Additional file 1: Figure S3), i.e. the region where we had observed a reduced dendritic complexity of APP-KO neurons, no rescue was observed for basal dendrites (Additional file 1: Figure S3). This selective effect of APPsα on distal apical dendrites contrasts with the more general role of APPsα for spine density on both basal and apical dendrites of CA1 pyramidal cells. Collectively, these studies of CA1 pyramidal cells in OHCs revealed a combined role of APP and APLP2 for dendritic architecture already at early developmental stages and a unique function of secreted APPs, in particular APPsa, for spine density.
The analysis of APP physiological functions has been complicated by functional redundancy between APP and the structurally related and similarly processed APLPs. We therefore conducted a systematic comparative analysis of neuronal morphology in single and combined APP/APLP knockout mutants. One of the key findings of this study is that both APP and APLP2 are required for normal dendritic complexity of CA1 pyramidal cells. In addition, we show that APP serves a unique, non-redundant physiological function for spine structure, as evidenced by a striking decrease in spine density selectively in APP-KO mice, in particular a reduction in the proportion of mushroom spines thought to represent mature synapses. Mechanistically, we demonstrate using a genetic approach that the endogenously produced secreted APPsα fragment is sufficient to mediate signals that result in normal spine densities in the absence of transmembrane APP isoforms.
APP family proteins are highly expressed in neurons with peak levels paralleling synaptogenesis [40, 41] and are enriched in motile tips of growth cones where APP colocalizes with the adaptor protein Fe65 in actin-rich lamellipodia [40, 42]. In addition, APP and APLPs have been shown to interact with extracellular matrix components such as heparin, HPSGs, laminin and collagen via their conserved N-terminal domains [43–45]. Consistent with a role in cell-substrate and/or cell-cell adhesion we had previously shown that triple knockout of all three APP/APLP proteins  or in utero knockdown of APP/APLPs lead to neuronal migration defects during cortical development [45, 46].
Several reports in neuroblastoma cells or dissociated neurons have previously linked APP expression to neurite outgrowth [45, 47–55]. Hippocampal neurons deficient for APP showed initially reduced neurite outgrowth, whereas after prolonged culture, elongation of the longest neurite was reported [45, 47]. However, in vitro studies using dissociated neurons may be highly variable, due to effects of different cell densities and/or concentrations of secreted factors [17, 19]. Thus, we intended to re-examine the role of APP for neuronal morphology and in addition to study systematically the specific or potentially redundant role of APLP1 and APLP2 in organotypic hippocampal cultures (OHCs), a well established preparation closely resembling the in vivo situation with regard to neuronal connectivity and cell types (e.g. excitatory and inhibitory neurons, glia) that allows to study mature neurons [22, 56–58]. Importantly, using OHCs we could also circumvent the perinatal lethality of APP/APLP2 DKO mutants.
Combined role of APP and APLP2 for dendritic complexity
Amongst the APP family members APP has a prominent role for dendritic architecture as the knockout of APP alone strongly affected morphology of mature CA1 neurons, while lack of either APLP1 or APLP2 did not lead to alterations. However, functional redundancy can only be assessed in combined mutants, as previously demonstrated for the lethality and defects in neuromuscular or cortical development observed in double and triple knockouts [20, 21, 46]. Indeed, in APP/APLP2-DKO neurons we found striking additional defects in the dendritic complexity of apical dendrites as compared to single APP-KO mutants. These findings reveal a novel function of APLP2 for neuronal morphology in the hippocampus. Further studies are needed to investigate a potentially similar role for APLP1, and can only be fully addressed upon generation of conditional APP/APLP triple mutants (see e.g. ). In vitro studies have implicated multiple domains of APP in neurite outgrowth including APP transmembrane isoforms, the secreted APP ectodomain, or CTFs and several mechanisms have been proposed [45, 49, 54, 55, 60, 61]. In light of our findings that both APP and APLP2 are important for neuronal morphology in OHCs it appears likely that these functions are mediated by conserved APP/APLP protein domains and may involve APP/APLP mediated adhesion or signaling [36, 55, 62]. This view is consistent with our previous studies of the neuromuscular junction, indicating that both secreted APPsα and transmembrane isoforms of APP and APLP2 are required for normal neuromuscular junction development and function . As APP has also been implicated in axonal outgrowth [45, 51, 52, 55] it is conceivable that alterations in dendritic complexity of APP-KO and APP/APLP2-DKO neurons might also be related to changes in axonal projections leading to reduced synaptic input e.g. in distal regions of CA1 apical dendrites. Our data also suggest that morphological postsynaptic defects occur despite the lack of major presynaptic defects and are thus not secondary to major defects in transmitter release. In fact, similar fEPSP values in mid-apical regions between WT and APP-KO correspond well to unaltered dendritic branching in these regions. In APP-KO mice dendritic branching defects and reduced spine density of apical dendrites was restricted to further distal dendritic segments (300, 330 and 360 μm), at a distance from the soma at which extracellular EPSP values were too small to be detectable. So far, our data on EPSP responses, short-term plasticity (this study) and LTP (see  and data not shown) have not revealed significant differences between WT and APP-KO OHCs. This might also be due to the increased experimental variability of the OHC preparations that reduces sensitivity of the functional readout and precludes the detection of more subtle defects. Future studies focusing on the relationship between the morphological defects and neuronal function will have to shed light on this issue.
Endogenously produced APPsα is sufficient for normal spine density and spine type distribution
The second key finding was the surprisingly unique role of APP for dendritic spine density, as evidenced by a substantial reduction in spine counts in APP-KO neurons and no detectable alterations in either APLP1-KO or APLP2-KO dendrites. Importantly, even a combined lack of APP and APLP2 (in APP/APLP2-DKO cultures) did not reveal a role of APLP2 for spine density. These data are further supported by our previous electrophysiological studies in hippocampal slices from aged mice, which indicated that lack of APP results in LTP deficits , whereas lack of APLP2 does neither affect basal synaptic transmission nor synaptic short- or long-term plasticity, even in aged mice . In this regard, it is important to note that previous in vitro studies using dissociated APP-KO neurons led to conflicting results with an about twofold increase in functional synapses in low density autaptic cultures of APP-KO neurons  contrasting with decreased spine densities in bulk cultures from APP-KO mice  or upon shRNA knockdown of APP . The reason for these conflicting data is presently unclear but might be related to differences in cell density and the fact that dissociated cultures only imperfectly model physiological concentrations of soluble factors and/or neuronal connectivity.
Our finding that lack of APP leads to highly reduced spine counts in OHCs indicates that APP or any of the various proteolytic fragments such as Aβ, secreted APPs, CTFs or AICD is required for normal spine numbers. Indeed, several hypothesis how APP may affect spine density had been proposed, based on in vitro systems or pharmacological intervention in vivo. Using dissociated neurons Lee and coworkers suggested that the reduced spine density resulting from APP knockdown in vitro may be due to a lacking interaction of cell surface APP with the extracellular matrix protein Reelin . In contrast, another study observed increased spine densities (as assessed by two photon in vivo imaging) in apical tufts of cortical neurons of adult (4-6 month old) APP-KO mice [18, 19]. Given that γ-secretase inhibitors reduced spine density of WT neurons, but had no effect on APP-KO neurons, it was proposed that the inability to produce Aβ or AICD may increase synapse formation in APP-KO neurons [18, 19]. However, interpretation of pharmacological data is difficult due to effects that may be mediated by other targets, which is particularly critical for γ−secretase with a multitude of additional substrates besides APP . In this regard, the same γ-secretase inhibitor (DAPT) when applied to dissociated WT neurons, had previously been found to increase synapse numbers (as opposed to the decrease found in adult cortex), whereas APP-KO neurons were again not affected by DAPT treatment .
In this study, we therefore choose a genetic approach to directly address the physiological role of APP family members in intact hippocampal tissue and demonstrate that the endogenously produced secreted APPsα ectodomain is sufficient for normal spine density in mature CA1 neurons even in the absence of transmembrane APP. Our data obtained with hippocampal tissue are further supported by a recent in vitro study showing that conditioned media containing APPsα can to some extent (by about 50%) restore spine density deficits of cultured APP-KO neurons . In turn, our findings also imply that autocrine or paracrine APPsα signaling, important for spine formation and/or maintenance, involves a so far unknown receptor distinct from APP itself. Collectively, we report a unique non redundant role of APP and APPsα for spine density of CA1 neurons and a synergistic role of APP and APLP2 for dendritic morphology.
Role of APP and APPsα in the adult brain, for aging and AD pathogenesis
Additional evidence indicates a requirement of APP for neuronal architecture and function also in adult mice. A recent study described reduced dendritic complexity and a moderate reduction in spine density in CA1 neurons of aged (12-15 month old) APP-KO animals , that was associated with pronounced deficits in LTP of aged APP-KO mice [14, 15, 64], which we had previously shown to be rescued in APPsα-KI mice . Together, this indicates a dual role of APP for spine structure: an early requirement of APP at stages of spine formation/maturation and also for the maintenance of spines during aging. Further support for a synaptotrophic role of APP and APPsα comes from transgenic mice with moderate overexpression of human WT APP , or indirect up-regulation of APPsα by transgenic expression of the α-secretase ADAM10 , that is enriched at synaptic contacts , which all lead to increased synaptic density. In Tg2576 mice expression of mutant huAPP increased spine density in CA1 and cortical neurons of young mice prior to plaque deposition possibly via APPsα, whereas spine density was decreased in aged animals, presumably due to Aβ-mediated synaptotoxic effects [16, 17]. In addition, oligomeric forms of Aβ have been reported to compromise synaptic function in Tg2576 mice even before plaque development . Thus, different APP fragments (e.g. APPsα and Aβ) likely mediate opposing functions for synapse formation or maintenance that are highly relevant not only for normal brain physiology but also AD pathogenesis. As there is a shift towards the amyloidogenic pathway in AD reduced levels of APPsα may contribute to AD pathogenesis . Indeed, decreased levels of APPsα levels and/or ADAM10 activity (the major the α-secretase) have been reported in the cerebrospinal fluid (CSF) of AD patients [69–74]. Moreover, lowered levels of CSF APPsα are correlated with poor memory performance in aged WT rats . Intriguingly, a recent study indicated that APPsα can also directly modulate APP processing by reducing BACE activity, and thereby lower Aβ levels in cells and in AD model mice . Irrespective of whether there is a lack-of-function component in AD pathogenesis caused by diminished APPsα production, the well-established functions of APPsα in neuroprotection (see e. g.  and review by ), synaptic plasticity [15, 35, 78, 79] and our data from the present study suggest that enhancing/restoring of APPsα levels may be beneficial to counteract and alleviate early AD related symptoms including deficits in spine density.
We are grateful to Diane Mundil for preparing organotypic cultures for electrophysiological analysis. We thank Dr. Gaby Schneider, Goethe University, for helpful suggestions concerning the statistics. The monoclonal anti-APP antibody m3.2 was kindly provided by Dr. Paul Mathews (NY, USA). We also like to thank the Nikon Imaging Center (University of Heidelberg) and Ulrike Engel, Christian Ackermann, Nicolas Dross and Pete Bankhead for support with confocal microscopy and image analysis.
This work was supported by the Deutsche Forschungsgemeinschaft Grants (MU 1457/8-1 and MU 1457/9-1, 9-2 to UM; DE 551/11-1, 11-2 to TD; KO 1674/3-1, 3-2 to MK), the BMBF (01GS08128 to UM) and the Breuer Stiftung (to UM) and Ruprecht-Karls-Universität Heidelberg within the funding programme Open Access Publishing.
- Kogel D, Deller T, Behl C: Roles of amyloid precursor protein family members in neuroprotection, stress signaling and aging. Exp Brain Res 2012, 217: 471–479. 10.1007/s00221–011–2932–4 10.1007/s00221-011-2932-4View ArticlePubMedGoogle Scholar
- Lichtenthaler SF, Haass C, Steiner H: Regulated intramembrane proteolysis–lessons from amyloid precursor protein processing. J Neurochem 2011, 117: 779–796. 10.1111/j.1471–4159.2011.07248.x 10.1111/j.1471-4159.2011.07248.xView ArticlePubMedGoogle Scholar
- Prox J, Rittger A, Saftig P: Physiological functions of the amyloid precursor protein secretases ADAM10, BACE1, and Presenilin. Exp Brain Res 2012, 217: 331–341. 10.1007/s00221–011–2952–0 10.1007/s00221-011-2952-0View ArticlePubMedGoogle Scholar
- Endres K, Fahrenholz F: Upregulation of the alpha-secretase ADAM10--risk or reason for hope? FEBS J 2010, 277: 1585–1596. EJB7566 10.1111/j.1742–4658.2010.07566.x 10.1111/j.1742-4658.2010.07566.xView ArticlePubMedGoogle Scholar
- Endres K, Fahrenholz F: Regulation of alpha-secretase ADAM10 expression and activity. Exp Brain Res 2012, 217: 343–352. 10.1007/s00221–011–2885–7 10.1007/s00221-011-2885-7View ArticlePubMedGoogle Scholar
- Aydin D, Weyer SW, Müller UC: Functions of the APP gene family in the nervous system: insights from mouse models. Exp Brain Res 2012, 217: 423–434. 10.1007/s00221–011–2861–2 10.1007/s00221-011-2861-2View ArticlePubMedGoogle Scholar
- Jacobsen KT, Iverfeldt K: Amyloid precursor protein and its homologues: a family of proteolysis-dependent receptors. Cell Mol Life Sci 2009, 66: 2299–2318. 10.1007/s00018–009–0020–8 10.1007/s00018-009-0020-8View ArticlePubMedGoogle Scholar
- Müller UC, Zheng H: Physiological functions of APP family proteins. Cold Spring Harb Perspect Med 2012, 2: a006288. 10.1101/cshperspect.a006288 a006288View ArticlePubMedPubMed CentralGoogle Scholar
- Müller U, Cristina N, Li ZW, Wolfer DP, Lipp HP, Rülicke T, Brandner S, Aguzzi A, Weissmann C: Behavioral and anatomical deficits in mice homozygous for a modified beta-amyloid precursor protein gene. Cell 1994, 79: 755–765. 10.1016/0092-8674(94)90066-3View ArticlePubMedGoogle Scholar
- Zheng H, Jiang M, Trumbauer ME, Sirinathsinghji DJ, Hopkins R, Smith DW, Heavens RP, Dawson GR, Boyce S, Conner MW, Stevens KA, Slunt HH, Sisoda SS, Chen HY, Van der Ploeg LH: beta-Amyloid precursor protein-deficient mice show reactive gliosis and decreased locomotor activity. Cell 1995, 81: 525–531. 10.1016/0092-8674(95)90073-XView ArticlePubMedGoogle Scholar
- Li ZW, Stark G, Gotz J, Rülicke T, Gschwind M, Huber G, Müller U, Weissmann C: Generation of mice with a 200-kb amyloid precursor protein gene deletion by Cre recombinase-mediated site-specific recombination in embryonic stem cells. Proc Natl Acad Sci U S A 1996, 93: 6158–6162. 10.1073/pnas.93.12.6158View ArticlePubMedPubMed CentralGoogle Scholar
- Dawson GR, Seabrook GR, Zheng H, Smith DW, Graham S, O’Dowd G, Bowery BJ, Boyce S, Trumbauer ME, Chen HY, Van der Ploeg LH, Sirinathsinghji DJ: Age-related cognitive deficits, impaired long-term potentiation and reduction in synaptic marker density in mice lacking the beta-amyloid precursor protein. Neuroscience 1999, 90: 1–13. S0306–4522(98)00410–2 10.1016/S0306-4522(98)00410-2View ArticlePubMedGoogle Scholar
- Magara F, Müller U, Li ZW, Lipp HP, Weissmann C, Stagljar M, Wolfer DP: Genetic background changes the pattern of forebrain commissure defects in transgenic mice underexpressing the beta-amyloid-precursor protein. Proc Natl Acad Sci U S A 1999, 96: 4656–4661. 10.1073/pnas.96.8.4656View ArticlePubMedPubMed CentralGoogle Scholar
- Seabrook GR, Smith DW, Bowery BJ, Easter A, Reynolds T, Fitzjohn SM, Morton RA, Zheng H, Dawson GR, Sirinathsinghji DJ, Davies CH, Collingridge GL, Hill RG: Mechanisms contributing to the deficits in hippocampal synaptic plasticity in mice lacking amyloid precursor protein. Neuropharmacology 1999, 38: 349–359. S0028390898002044 10.1016/S0028-3908(98)00204-4View ArticlePubMedGoogle Scholar
- Ring S, Weyer SW, Kilian SB, Waldron E, Pietrzik CU, Filippov MA, Herms J, Buchholz C, Eckman CB, Korte M, Wolfer DP, Müller UC: The secreted beta-amyloid precursor protein ectodomain APPs alpha is sufficient to rescue the anatomical, behavioral, and electrophysiological abnormalities of APP-deficient mice. J Neurosci 2007, 27: 7817–7826. 27/29/7817 10.1523/JNEUROSCI.1026–07.2007 10.1523/JNEUROSCI.1026-07.2007View ArticlePubMedGoogle Scholar
- Jung CK, Herms J: Role of APP for dendritic spine formation and stability. Exp Brain Res 2012, 217: 463–470. 10.1007/s00221–011–2939-x 10.1007/s00221-011-2939-xView ArticlePubMedGoogle Scholar
- Lee KJ, Moussa CE, Lee Y, Sung Y, Howell BW, Turner RS, Pak DT, Hoe HS: Beta amyloid-independent role of amyloid precursor protein in generation and maintenance of dendritic spines. Neuroscience 2010, 169: 344–356. S0306–4522(10)00645–7 10.1016/j.neuroscience.2010.04.078 10.1016/j.neuroscience.2010.04.078View ArticlePubMedPubMed CentralGoogle Scholar
- Bittner T, Fuhrmann M, Burgold S, Jung CK, Volbracht C, Steiner H, Mitteregger G, Kretzschmar HA, Haass C, Herms J: Gamma-secretase inhibition reduces spine density in vivo via an amyloid precursor protein-dependent pathway. J Neurosci 2009, 29: 10405–10409. 29/33/10405 10.1523/JNEUROSCI.2288–09.2009 10.1523/JNEUROSCI.2288-09.2009View ArticlePubMedGoogle Scholar
- Priller C, Mitteregger G, Paluch S, Vassallo N, Staufenbiel M, Kretzschmar HA, Jucker M, Herms J: Excitatory synaptic transmission is depressed in cultured hippocampal neurons of APP/PS1 mice. Neurobiol Aging 2009, 30: 1227–1237. S0197–4580(07)00416–2 10.1016/j.neurobiolaging.2007.10.016 10.1016/j.neurobiolaging.2007.10.016View ArticlePubMedGoogle Scholar
- Heber S, Herms J, Gajic V, Hainfellner J, Aguzzi A, Rülicke T, von Kretzschmar H, von Koch C, Sisodia S, Tremml P, Lipp HP, Wolfer DP, Müller U: Mice with combined gene knock-outs reveal essential and partially redundant functions of amyloid precursor protein family members. J Neurosci 2000, 20: 7951–7963.PubMedGoogle Scholar
- Wang P, Yang G, Mosier DR, Chang P, Zaidi T, Gong YD, Zhao NM, Dominguez B, Lee KF, Gan WB, Zheng H: Defective neuromuscular synapses in mice lacking amyloid precursor protein (APP) and APP-Like protein 2. J Neurosci 2005, 25: 1219–1225. 10.1523/JNEUROSCI.4660-04.2005View ArticlePubMedGoogle Scholar
- Stoppini L, Buchs PA, Müller D: A simple method for organotypic cultures of nervous tissue. J Neurosci Methods 1991, 37: 173–182. 0165–0270(91)90128-M 10.1016/0165-0270(91)90128-MView ArticlePubMedGoogle Scholar
- Vlachos A, Bas Orth C, Schneider G, Deller T: Time-lapse imaging of granule cells in mouse entorhino-hippocampal slice cultures reveals changes in spine stability after entorhinal denervation. J Comp Neurol 2012, 520: 1891–1902. 10.1002/cne.23017 10.1002/cne.23017View ArticlePubMedGoogle Scholar
- O’Brien JA, Holt M, Whiteside G, Lummis SC, Hastings MH: Modifications to the hand-held Gene Gun: improvements for in vitro biolistic transfection of organotypic neuronal tissue. J Neurosci Methods 2001, 112: 57–64. S0165–0270(01)00457–5 10.1016/S0165-0270(01)00457-5View ArticlePubMedGoogle Scholar
- O’Brien JA, Lummis SC: Biolistic transfection of neuronal cultures using a hand-held gene gun. Nat Protoc 2006, 1: 977–981. nprot.2006.145 10.1038/nprot.2006.145 10.1038/nprot.2006.145View ArticlePubMedPubMed CentralGoogle Scholar
- Sholl DA: Dendritic organization in the neurons of the visual and motor cortices of the cat. J Anat 1953, 87: 387–406.PubMedPubMed CentralGoogle Scholar
- Holtmaat A, Bonhoeffer T, Chow DK, Chuckowree J, De Paola V, Hofer SB, Hübener M, Keck T, Knott G, Lee WC, Mostany R, Mrsic-Flogel TD, Nedivi E, Portera-Cailliau C, Svoboda K, Trachtenberg JT, Wilbrecht L: Long-term, high-resolution imaging in the mouse neocortex through a chronic cranial window. Nat Protoc 2009, 4: 1128–1144. nprot.2009.89 10.1038/nprot.2009.89 10.1038/nprot.2009.89View ArticlePubMedPubMed CentralGoogle Scholar
- Peters A, Kaiserman-Abramof IR: The small pyramidal neuron of the rat cerebral cortex. The perikaryon, dendrites and spines. Am J Anat 1970, 127: 321–355. 10.1002/aja.1001270402 10.1002/aja.1001270402View ArticlePubMedGoogle Scholar
- Harris KM, Jensen FE, Tsao B: Three-dimensional structure of dendritic spines and synapses in rat hippocampus (CA1) at postnatal day 15 and adult ages: implications for the maturation of synaptic physiology and long-term potentiation. J Neurosci 1992, 12: 2685–2705.PubMedGoogle Scholar
- Koh IY, Lindquist WB, Zito K, Nimchinsky EA, Svoboda K: An image analysis algorithm for dendritic spines. Neural Comput 2002, 14: 1283–1310. 10.1162/089976602753712945 10.1162/089976602753712945View ArticlePubMedGoogle Scholar
- Zagrebelsky M, Holz A, Dechant G, Barde YA, Bonhoeffer T, Korte M: The p75 neurotrophin receptor negatively modulates dendrite complexity and spine density in hippocampal neurons. J Neurosci 2005, 25: 9989–9999. 25/43/9989 10.1523/JNEUROSCI.2492–05.2005 10.1523/JNEUROSCI.2492-05.2005View ArticlePubMedGoogle Scholar
- von Koch CS, Zheng H, Chen H, Trumbauer M, Thinakaran G, van der Ploeg LH, Price DL, Sisodia SS: Generation of APLP2 KO mice and early postnatal lethality in APLP2/APP double KO mice. Neurobiol Aging 1997, 18: 661–669. 10.1016/S0197-4580(97)00151-6View ArticlePubMedGoogle Scholar
- Feng G, Mellor RH, Bernstein M, Keller-Peck C, Nguyen QT, Wallace M, Nerbonne JM, Lichtman JW, Sanes JR: Imaging neuronal subsets in transgenic mice expressing multiple spectral variants of GFP. Neuron 2000, 28: 41–51. S0896–6273(00)00084–2 10.1016/S0896-6273(00)00084-2View ArticlePubMedGoogle Scholar
- Morales-Corraliza J, Mazzella MJ, Berger JD, Diaz NS, Choi JH, Levy E, Matsuoka Y, Planel E, Mathews PM: In vivo turnover of tau and APP metabolites in the brains of wild-type and Tg2576 mice: greater stability of sAPP in the beta-amyloid depositing mice. PLoS One 2009, 4: e7134. 10.1371/journal.pone.0007134 10.1371/journal.pone.0007134View ArticlePubMedPubMed CentralGoogle Scholar
- Weyer SW, Klevanski M, Delekate A, Voikar V, Aydin D, Hick M, Filippov M, Drost N, Schaller KL, Saar M, Vogt MA, Gass P, Samanta A, Jäschke A, Korte M, Wolfer DP, Caldwell JH, Müller UC: APP and APLP2 are essential at PNS and CNS synapses for transmission, spatial learning and LTP. EMBO J 2011, 30: 2266–2280. emboj2011119 10.1038/emboj.2011.119 10.1038/emboj.2011.119View ArticlePubMedPubMed CentralGoogle Scholar
- Soba P, Eggert S, Wagner K, Zentgraf H, Siehl K, Kreger S, Löwer A, Langer A, Merdes G, Paro R, Masters CL, Müller U, Kins S, Beyreuther K: Homo- and heterodimerization of APP family members promotes intercellular adhesion. Embo J 2005, 24: 3624–3634. 10.1038/sj.emboj.7600824View ArticlePubMedPubMed CentralGoogle Scholar
- Wang Z, Wang B, Yang L, Guo Q, Aithmitti N, Songyang Z, Zheng H: Presynaptic and postsynaptic interaction of the amyloid precursor protein promotes peripheral and central synaptogenesis. J Neurosci 2009, 29: 10788–10801. 29/35/10788 10.1523/JNEUROSCI.2132–09.2009 10.1523/JNEUROSCI.2132-09.2009View ArticlePubMedPubMed CentralGoogle Scholar
- Yuste R, Bonhoeffer T: Morphological changes in dendritic spines associated with long-term synaptic plasticity. Annu Rev Neurosci 2001, 24: 1071–1089. 10.1146/annurev.neuro.24.1.107124/1/1071 10.1146/annurev.neuro.24.1.1071View ArticlePubMedGoogle Scholar
- Konur S, Rabinowitz D, Fenstermaker VL, Yuste R: Systematic regulation of spine sizes and densities in pyramidal neurons. J Neurobiol 2003, 56: 95–112. 10.1002/neu.10229 10.1002/neu.10229View ArticlePubMedGoogle Scholar
- Szodorai A, Kuan YH, Hunzelmann S, Engel U, Sakane A, Sasaki T, Takai Y, Kirsch J, Müller U, Beyreuther K, Brady S, Morfini G, Kins S: APP anterograde transport requires Rab3A GTPase activity for assembly of the transport vesicle. J Neurosci 2009, 29: 14534–14544. 29/46/14534 10.1523/JNEUROSCI.1546–09.2009 10.1523/JNEUROSCI.1546-09.2009View ArticlePubMedPubMed CentralGoogle Scholar
- Moya KL, Benowitz LI, Schneider GE, Allinquant B: The amyloid precursor protein is developmentally regulated and correlated with synaptogenesis. Dev Biol 1994, 161: 597–603. 10.1006/dbio.1994.1055S0012–1606(84)71055–4 10.1006/dbio.1994.1055View ArticlePubMedGoogle Scholar
- Sabo SL, Ikin AF, Buxbaum JD, Greengard P: The amyloid precursor protein and its regulatory protein, FE65, in growth cones and synapses in vitro and in vivo. J Neurosci 2003, 23: 5407–5415. 23/13/5407PubMedGoogle Scholar
- Storey E, Beyreuther K, Masters CL: Alzheimer’s disease amyloid precursor protein on the surface of cortical neurons in primary culture co-localizes with adhesion patch components. Brain Res 1996, 735: 217–231. 0006–8993(96)00608–7 10.1016/0006-8993(96)00608-7View ArticlePubMedGoogle Scholar
- Yamazaki T, Koo EH, Selkoe DJ: Cell surface amyloid beta-protein precursor colocalizes with beta 1 integrins at substrate contact sites in neural cells. J Neurosci 1997, 17: 1004–1010.PubMedGoogle Scholar
- Young-Pearse TL, Chen AC, Chang R, Marquez C, Selkoe DJ: Secreted APP regulates the function of full-length APP in neurite outgrowth through interaction with integrin beta1. Neural Dev 2008, 3: 15. 1749–8104–3-15 10.1186/1749–8104–3-15 10.1186/1749-8104-3-15View ArticlePubMedPubMed CentralGoogle Scholar
- Herms J, Anliker B, Heber S, Ring S, Fuhrmann M, Kretzschmar H, Sisodia S, Müller U: Cortical dysplasia resembling human type 2 lissencephaly in mice lacking all three APP family members. Embo J 2004, 23: 4106–4115. 10.1038/sj.emboj.7600390View ArticlePubMedPubMed CentralGoogle Scholar
- Perez RG, Zheng H, Van der Ploeg LH, Koo EH: The beta-amyloid precursor protein of Alzheimer’s disease enhances neuron viability and modulates neuronal polarity. J Neurosci 1997, 17: 9407–9414.PubMedGoogle Scholar
- Allinquant B, Hantraye P, Mailleux P, Moya K, Bouillot C, Prochiantz A: Downregulation of amyloid precursor protein inhibits neurite outgrowth in vitro. J Cell Biol 1995, 128: 919–927. 10.1083/jcb.128.5.919View ArticlePubMedGoogle Scholar
- Ando K, Oishi M, Takeda S, Iijima K, Isohara T, Nairn AC, Kirino Y, Greengard P, Suzuki T: Role of phosphorylation of Alzheimer’s amyloid precursor protein during neuronal differentiation. J Neurosci 1999, 19: 4421–4427.PubMedGoogle Scholar
- Small DH, Clarris HL, Williamson TG, Reed G, Key B, Mok SS, Beyreuther K, Masters CL, Nurcombe V: Neurite-outgrowth regulating functions of the amyloid protein precursor of Alzheimer’s disease. J Alzheimers Dis 1999, 1: 275–285.PubMedGoogle Scholar
- Leyssen M, Ayaz D, Hebert SS, Reeve S, De Strooper B, Hassan BA: Amyloid precursor protein promotes post-developmental neurite arborization in the Drosophila brain. EMBO J 2005, 24: 2944–2955. 7600757 10.1038/sj.emboj.7600757 10.1038/sj.emboj.7600757View ArticlePubMedPubMed CentralGoogle Scholar
- Ikin AF, Sabo SL, Lanier LM, Buxbaum JD: A macromolecular complex involving the amyloid precursor protein (APP) and the cytosolic adapter FE65 is a negative regulator of axon branching. Mol Cell Neurosci 2007, 35: 57–63. S1044–7431(07)00028–0 10.1016/j.mcn.2007.02.003 10.1016/j.mcn.2007.02.003View ArticlePubMedPubMed CentralGoogle Scholar
- Gakhar-Koppole N, Hundeshagen P, Mandl C, Weyer SW, Allinquant B, Müller U, Ciccolini F: Activity requires soluble amyloid precursor protein alpha to promote neurite outgrowth in neural stem cell-derived neurons via activation of the MAPK pathway. Eur J Neurosci 2008, 28: 871–882. EJN6398 10.1111/j.1460–9568.2008.06398.x 10.1111/j.1460-9568.2008.06398.xView ArticlePubMedGoogle Scholar
- Hoe HS, Lee KJ, Carney RS, Lee J, Markova A, Lee JY, Howell BW, Hyman BT, Pak DT, Bu G, Rebeck GW: Interaction of reelin with amyloid precursor protein promotes neurite outgrowth. J Neurosci 2009, 29: 7459–7473. 29/23/7459 10.1523/JNEUROSCI.4872–08.2009 10.1523/JNEUROSCI.4872-08.2009View ArticlePubMedPubMed CentralGoogle Scholar
- Deyts C, Vetrivel KS, Das S, Shepherd YM, Dupré DJ, Thinakaran G, Parent AT: Novel GalphaS-protein signaling associated with membrane-tethered amyloid precursor protein intracellular domain. J Neurosci 2012, 32: 1714–1729. 32/5/1714 10.1523/JNEUROSCI.5433–11.2012 10.1523/JNEUROSCI.5433-11.2012View ArticlePubMedPubMed CentralGoogle Scholar
- Frotscher M, Heimrich B: Lamina-specific synaptic connections of hippocampal neurons in vitro. J Neurobiol 1995, 26: 350–359. 10.1002/neu.480260307 10.1002/neu.480260307View ArticlePubMedGoogle Scholar
- Frotscher M, Zafirov S, Heimrich B: Development of identified neuronal types and of specific synaptic connections in slice cultures of rat hippocampus. Prog Neurobiol 1995, 45: vii-xxviii.View ArticlePubMedGoogle Scholar
- Gahwiler BH, Capogna M, Debanne D, McKinney RA, Thompson SM: Organotypic slice cultures: a technique has come of age. Trends Neurosci 1997, 20: 471–477. S0166–2236(97)01122–3 10.1016/S0166-2236(97)01122-3View ArticlePubMedGoogle Scholar
- Mallm JP, Tschape JA, Hick M, Filippov MA, Müller UC: Generation of conditional null alleles for APP and APLP2. Genesis 2010, 48: 200–206. 10.1002/dvg.20601PubMedGoogle Scholar
- Shaked GM, Chauv S, Ubhi K, Hansen LA, Masliah E: Interactions between the amyloid precursor protein C-terminal domain and G proteins mediate calcium dysregulation and amyloid beta toxicity in Alzheimer’s disease. FEBS J 2009, 276: 2736–2751. EJB6997 10.1111/j.1742–4658.2009.06997.x 10.1111/j.1742-4658.2009.06997.xView ArticlePubMedPubMed CentralGoogle Scholar
- Sola Vigo F, Kedikian G, Heredia L, Añel AD, Rosa AL, Lorenzo A: Amyloid-beta precursor protein mediates neuronal toxicity of amyloid beta through Go protein activation. Neurobiol Aging 2009, 30: 1379–1392. S0197–4580(07)00450–2 10.1016/j.neurobiolaging.2007.11.017 10.1016/j.neurobiolaging.2007.11.017View ArticlePubMedGoogle Scholar
- Wang B, Yang L, Wang Z, Zheng H: Amyolid precursor protein mediates presynaptic localization and activity of the high-affinity choline transporter. Proc Natl Acad Sci U S A 2007, 104: 14140–14145. 0704070104 10.1073/pnas.0704070104 10.1073/pnas.0704070104View ArticlePubMedPubMed CentralGoogle Scholar
- Tyan SH, Shih AY, Walsh JJ, Maruyama H, Sarsoza F, Ku L, Eggert S, Hof PR, Koo EH, Dickstein DL: Amyloid precursor protein (APP) regulates synaptic structure and function. Mol Cell Neurosci 2012, 51: 43–52. 10.1016/j.mcn.2012.07.009S1044–7431(12)00125-X 10.1016/j.mcn.2012.07.009View ArticlePubMedPubMed CentralGoogle Scholar
- Midthune B, Tyan SH, Walsh JJ, Sarsoza F, Eggert S, Hof PR, Dickstein DL, Koo EH: Deletion of the amyloid precursor-like protein 2 (APLP2) does not affect hippocampal neuron morphology or function. Mol Cell Neurosci 2012, 49: 448–455. S1044–7431(12)00023–1 10.1016/j.mcn.2012.02.001 10.1016/j.mcn.2012.02.001View ArticlePubMedPubMed CentralGoogle Scholar
- Mucke L, Abraham CR, Masliah E: Neurotrophic and neuroprotective effects of hAPP in transgenic mice. Ann N Y Acad Sci 1996, 777: 82–88. 10.1111/j.1749-6632.1996.tb34405.xView ArticlePubMedGoogle Scholar
- Bell KF, Zheng L, Fahrenholz F, Cuello AC: ADAM-10 over-expression increases cortical synaptogenesis. Neurobiol Aging 2008, 29: 554–565. S0197–4580(06)00406–4 10.1016/j.neurobiolaging.2006.11.004 10.1016/j.neurobiolaging.2006.11.004View ArticlePubMedGoogle Scholar
- Marcello E, Gardoni F, Mauceri D, Romorini S, Jeromin A, Epis R, Borroni B, Cattabeni F, Sala C, Padovani A, Di Luca M: Synapse-associated protein-97 mediates alpha-secretase ADAM10 trafficking and promotes its activity. J Neurosci 2007, 27: 1682–1691. 27/7/1682 10.1523/JNEUROSCI.3439–06.2007 10.1523/JNEUROSCI.3439-06.2007View ArticlePubMedGoogle Scholar
- Hermann D, Both M, Ebert U, Gross G, Schoemaker H, Draguhn A, Wicke K, Nimmrich V: Synaptic transmission is impaired prior to plaque formation in amyloid precursor protein-overexpressing mice without altering behaviorally-correlated sharp wave-ripple complexes. Neuroscience 2009, 162: 1081–1090. 10.1016/j.neuroscience.2009.05.044S0306–4522(09)00956–7 10.1016/j.neuroscience.2009.05.044View ArticlePubMedGoogle Scholar
- Lannfelt L, Basun H, Wahlund LO, Rowe BA, Wagner SL: Decreased alpha-secretase-cleaved amyloid precursor protein as a diagnostic marker for Alzheimer’s disease. Nat Med 1995, 1: 829–832. 10.1038/nm0895-829View ArticlePubMedGoogle Scholar
- Sennvik K, Fastbom J, Blomberg M, Wahlund LO, Winblad B, Benedikz E: Levels of alpha- and beta-secretase cleaved amyloid precursor protein in the cerebrospinal fluid of Alzheimer’s disease patients. Neurosci Lett 2000, 278: 169–172. S0304394099009295 10.1016/S0304-3940(99)00929-5View ArticlePubMedGoogle Scholar
- Colciaghi F, Borroni B, Pastorino L, Marcello E, Zimmermann M, Cattabeni F, Padovani A, Di Luca M: [alpha]-Secretase ADAM10 as well as [alpha]APPs is reduced in platelets and CSF of Alzheimer disease patients. Mol Med 2002, 8: 67–74. S1528365802200671PubMedPubMed CentralGoogle Scholar
- Tyler SJ, Dawbarn D, Wilcock GK, Allen SJ: alpha- and beta-secretase: profound changes in Alzheimer’s disease. Biochem Biophys Res Commun 2002, 299: 373–376. S0006291X02026359 10.1016/S0006-291X(02)02635-9View ArticlePubMedGoogle Scholar
- Fellgiebel A, Kojro E, Müller MJ, Scheurich A, Schmidt LG, Fahrenholz F: CSF APPs alpha and phosphorylated tau protein levels in mild cognitive impairment and dementia of Alzheimer’s type. J Geriatr Psychiatry Neurol 2009, 22: 3–9. 10.1177/08919887083278100891988708327810 10.1177/0891988708327810View ArticlePubMedGoogle Scholar
- Olsson A, Hoglund K, Sjogren M, Andreasen N, Minthon L, Lannfelt L, Buerger K, Möller HJ, Hampel H, Davidsson P, Blennow K: Measurement of alpha- and beta-secretase cleaved amyloid precursor protein in cerebrospinal fluid from Alzheimer patients. Exp Neurol 2003, 183: 74–80. S001448860300027X 10.1016/S0014-4886(03)00027-XView ArticlePubMedGoogle Scholar
- Anderson JJ, Holtz G, Baskin PP, Wang R, Mazzarelli L, Wagner SL, Menzaghi F: Reduced cerebrospinal fluid levels of alpha-secretase-cleaved amyloid precursor protein in aged rats: correlation with spatial memory deficits. Neuroscience 1999, 93: 1409–1420. S0306–4522(99)00244–4 10.1016/S0306-4522(99)00244-4View ArticlePubMedGoogle Scholar
- Obregon D, Hou H, Deng J, Giunta B, Tian J, Darlington D, Shahaduzzaman M, Zhu Y, Mori T, Mattson MP, Tan J: Soluble amyloid precursor protein-alpha modulates beta-secretase activity and amyloid-beta generation. Nat Commun 2012, 3: 777. 10.1038/ncomms1781ncomms1781View ArticlePubMedPubMed CentralGoogle Scholar
- Bailey JA, Ray B, Greig NH, Lahiri DK: Rivastigmine lowers Abeta and increases sAPPalpha levels, which parallel elevated synaptic markers and metabolic activity in degenerating primary rat neurons. PLoS One 2011, 6: e21954. 10.1371/journal.pone.0021954PONE-D-11–01100 10.1371/journal.pone.0021954View ArticlePubMedPubMed CentralGoogle Scholar
- Taylor CJ, Ireland DR, Ballagh I, Bourne K, Marechal NM, Turner PR, Bilkey DK, Tate WP, Abraham WC: Endogenous secreted amyloid precursor protein-alpha regulates hippocampal NMDA receptor function, long-term potentiation and spatial memory. Neurobiol Dis 2008, 31: 250–260. S0969–9961(08)00088–0 10.1016/j.nbd.2008.04.011 10.1016/j.nbd.2008.04.011View ArticlePubMedGoogle Scholar
- Claasen AM, Guevremont D, Mason-Parker SE, Bourne K, Tate WP, Abraham WC, Williams JM: Secreted amyloid precursor protein-alpha upregulates synaptic protein synthesis by a protein kinase G-dependent mechanism. Neurosci Lett 2009, 460: 92–96. S0304–3940(09)00664–8 10.1016/j.neulet.2009.05.040 10.1016/j.neulet.2009.05.040View ArticlePubMedGoogle Scholar
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