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Understanding the mechanisms whereby information encoded within patterns of action potentials is deciphered by neurons is central to cognitive psychology. The multiprotein complexes formed by NMDA receptors linked to synaptic membrane-associated guanylate kinase (MAGUK) proteins including synapse-associated protein 102 (SAP102) and other associated proteins are instrumental in these processes. Although humans with mutations in SAP102 show mental retardation, the physiological and biochemical mechanisms involved are unknown. Using SAP102 knock-out mice, we found specific impairments in synaptic plasticity induced by selective frequencies of stimulation that also required extracellular signal-regulated kinase signaling. This was paralleled by inflexibility and impairment in spatial learning. Improvement in spatial learning performance occurred with extra training despite continued use of a suboptimal search strategy, and, in a separate nonspatial task, the mutants again deployed a different strategy. Double-mutant analysis of postsynaptic density-95 and SAP102 mutants indicate overlapping and specific functions of the two MAGUKs. These in vivo data support the model that specific MAGUK proteins couple the NMDA receptor to distinct downstream signaling pathways. This provides a mechanism for discriminating patterns of synaptic activity that lead to long-lasting changes in synaptic strength as well as distinct aspects of cognition in the mammalian nervous system.
Investigation into the molecular mechanisms allowing patterns of neuronal activity to induce plasticity in mammalian neurons and behavior has focused on the role of the NMDA subtype of glutamate receptor receptors and a multitude of signaling proteins. Comprising NR1 and NR2 subunits that form a Ca2+ channel, the NMDA receptor is physically linked to cytoplasmic proteins by C-terminal domains of its subunits forming multiprotein complexes, known as the NMDA receptor complex (NRC). Membrane-associated guanylate kinase (MAGUK) proteins, including synapse-associated protein 102 (SAP102), postsynaptic density-95 (PSD-95), and PSD-93, are proximal components of the NRC and directly bind to NR2 subunits (Kornau et al., 1995; Kim et al., 1996; Lau et al., 1996; Muller et al., 1996) and dozens of different enzymes and scaffold and cytoskeletal proteins (E. Kim et al., 1997; Makino et al., 1997; Takeuchi et al., 1997; J. H. Kim et al., 1998; Firestein et al., 1999; Masuko et al., 1999; Chen et al., 2000; Husi et al., 2000; Penzes et al., 2001; Komiyama et al., 2002; Sans et al., 2003; Seabold et al., 2003; Montgomery et al., 2004; Grant et al., 2005).
A detailed understanding of the biology of MAGUK proteins in vivo, and in particular their differential and specific functions, is lacking. Recently, the first example of a human mutation in a MAGUK protein was reported. Loss-of-function mutations in the SAP102 gene (dlg3/dlgh3/NE-dlg) cause nonsyndromic X-linked mental retardation (Tarpey et al., 2004). Previous mouse genetic studies show that loss-of-function of PSD-95 results in impairment in forms of plasticity in the hippocampus (spatial learning deficits) (Migaud et al., 1998), spinal cord (nociceptive pain) (Garry et al., 2003), cortex (visual plasticity) (Fagiolini et al., 2003), and striatum (cocaine sensitization) (Yao et al., 2004).
An important dimension to the induction of plasticity is the ability of the synapse to detect and discriminate different patterns of neuronal activity. Long-term potentiation (LTP) has been used as a model for examining the effects of different stimulation paradigms, such as frequencies and durations of trains, or the relative timing of presynaptic and postsynaptic activity (spike-timing plasticity). Although the NMDA receptor can transduce a Ca2+ signal from as little as a single quanta of glutamate (Emptage et al., 1999), the activation of the NMDA receptor by different stimulation paradigms, all of which may lead to LTP, does not use a single pathway or set of postsynaptic proteins. For example, inhibition of extracellular signal-regulated kinase (ERK)/mitogen-activated protein kinase (MAPK) does not block LTP induced by 100 Hz stimulation, although it blocks 5 Hz induced LTP (Winder et al., 1999). In contrast to this train-specific dependency in the ERK pathway, PSD-95 mutant mice show impaired induction of LTP, with trains ranging from 1 to 100 Hz (Migaud et al., 1998; Komiyama et al., 2002). Therefore, the NMDA receptor must have some way of linking to different sets of downstream proteins, which can each regulate LTP. The simplest explanation would be that the NMDA receptor subunits would couple to these distinct pathways using specific adaptor proteins, such as the MAGUKs. A prediction of this model would be that mutation of specific MAGUKs would result in impairments of specific forms of LTP.
Here we report the first characterization of SAP102 knock-out mice. We found that SAP102 was required for the induction of LTP and spike-timing-dependent plasticity but with a restricted range of stimulation conditions. This restricted range corresponded to that of ERK pathway function, which was altered in the mutant mice. The SAP102 mutant mice showed cognitive deficits with a specific spatial learning deficit that was overcome by additional training. We also document a role for SAP102 in a higher cognitive function, that of strategy utilization for problem solving. Thus, SAP102 confers selective signal transduction to the NMDA receptor in vivo and specific cognitive functions.
HM1 mouse embryonic stem (ES) cells were targeted with a vector containing 3.6 and 4.5 kb fragments of flanking genomic DNA, replacing 4.9 kb of SAP102 genomic DNA (X95,371,637 to X95,376,592; Ensembl Build 32) with the positive selectable marker PGKneopA (neomycin). The negative selectable marker MC1DTA was placed adjacent to the targeting construct. For Southern blot analysis, 15 mg of DNA from ES cells or tail or ear tips was digested with DraIor NheI and probed with a 5′ probe (X95,367,143 to X95,367,879) or a 3′ probe (X95,381,200 to X95,382,085) outside the homology region, respectively. PCR genotyping consisted of two independent reactions. A 535 bp product was selectively amplified from the wild-type (wt) allele using a forward primer P1 (GGTCTCTGATGAAGCAGTGATTTTT) upstream of the selection cassette integration site and a reverse primer P2 (TGATGACCCATAGACAGTAGGATCA) in the wt sequence deleted by the targeted mutation. From the targeted allele, a 215 bp product was amplified using P1 with a reverse primer P3 (CTAAAGCGCATGCTCCAGAC) from within the selection cassette. Amplification was 33 cycles of 30 s at 94°C, 30 s at 56°C, and 60 s at 72°C. Mice used for experimental analyses were 4- to 7-month-old males from the second generation of intercrosses between the chimeras and MF1 strain mice.
Standard procedures were used for protein extraction, SDS-PAGE, and Western blotting (Komiyama et al., 2002). Primary antibodies are listed in supplemental Table 1 (available at www.jneurosci.org as supplemental material). ELISAs were performed according to the instructions of the manufacturer to determine endogenous levels of ERK1/2 (total ERK1/2; Biosource, Camarillo, CA) and phospho-ERK1/2 T202/Y204 (Pathscan; Cell Signaling Technology, Beverly, MA). For the phosphorylation screen, dissected hippocampi were homogenized in 20 mM 3-(N-morpholino)-propanesulfonic acid, pH 7.4, 2 mM EDTA, 5 mM EGTA, 0.5% Triton X-100, 30 mM NaF, 40 mM β-glycerophosphate, 20 mM sodium pyrophosphate, 1 mM sodium orthovanadate, 1 mM PMSF, 3 mM benzamidine, 5 μM pepstatin, and 10 μM leupeptin and subjected to a phospho-site screen (KPSS-1.3) by Kinexus Bioinformatics Corporation (Vancouver, British Columbia, Canada). Neuroanatomical protocols are described in the supplemental Materials and Methods (available at www.jneurosci.org as supplemental material).
A behavioral test battery, including a rotorod, forelimb grip-strength assessment, open field, and elevated plus maze was completed to look for gross behavioral abnormalities in the mice. Full details for these protocols are found in the supplemental Materials and Methods (available at www.jneurosci.org as supplemental material). A water maze test modified to include extra probe trials was completed on a second cohort of animals derived from the same parents as detailed below.
Briefly, an open-field water maze was used (2 m diameter, opaque water, 25 ± 1°C) with Actimetrics (Wilmette, IL) automated swim path analysis software. The escape platform was 30 cm in diameter and was made visible by lowering the level of the water in the pool and adding a flag to the center of the platform. A black curtain could be drawn around the maze when required to eliminate the visible cues from within the room.
The protocol was adapted from published methods (Migaud et al., 1998; Komiyama et al., 2002). Mice were trained in a 2-m-diameter pool to first find a visible platform (visible, four trials for 3 d), then to find a submerged platform (hidden, four trials for 5 d), and finally to find a submerged platform in the opposite quadrant (reversal, four trials for 5 d). Probe tests were completed 10 min after the hidden platform training (H1) and 18–24 h after H1 (H2). Supplementary probe tests were also completed 10 min after each of the first four reversal training days (R1–R4), along with the more traditional ones at 10 min after the last trial on the last day of training (R5) and at 18–24 h after training (R6). We then tested long-term memory retention at 1, 2, and 8 weeks after reversal training (R7, R8, and R9). The maximum duration for training trials was 90 s, and, during each, latency to reach the platform, distance swum, and swimming speed were calculated. All probe trials were 60 s, and data on the time spent in each quadrant and the number of platform location crossings were collected.
Two-way (genotype × day) mixed ANOVAs were completed for latency, distance, and swim speed. For the probe trials, two-way (genotype × quadrant) mixed ANOVAs were completed. One-group t tests were also completed, to assess whether each of the mean “training quadrant” times for each genotype were above chance (15 s).
Each swim path trace was also printed out and scored by three observers blind to the genotype or day of the trace. The scoring was based on seven qualitative patterns published previously (Graziano et al., 2003), so that swim strategy could be assessed. To do this, the scores from the three observers were concatenated, and paths were “scored” if at least two observers agreed with the swim path style. The strategies were then entered into a spreadsheet so that percentages of the seven categories could be calculated. These were then statistically assessed with Cochran’s Q and then χ 2 nonparametric tests.
Electrophysiological experiments were performed as described previously (Komiyama et al., 2002). Slices, 400 μm thick, of mouse hippocampus were maintained at 30°C in an interface-type recording chamber perfused with a murine artificial CSF (ACSF) containing the following (in mM): 124 NaCl, 4.4 KCl, 25 Na2HCO3, 1 NaH2PO4, 1.2 MgSO4,2 CaCl2, and 10 glucose. All experiments were performed using slices obtained from 4- to 7-month-old SAP102 -/y and their wt littermates. In extracellular recordings, field EPSPs (fEPSPs) were elicited once every 50 s (0.01 Hz, 0.01–0.02 ms duration pulses using tungsten wire bipolar stimulation electrodes placed in stratum radiatum of the CA1 region). The evoked fEPSPs were recorded using low-resistance glass microelectrodes (5–10 MΩ, filled with ACSF), also placed in CA1 stratum radiatum. Whole-cell current-clamp recordings of EPSPs were performed using recording electrodes filled with a solution containing the following (in mM): 135 K-gluconate, 20 KCl, 2 MgCl2, 10 HEPES, 2 ATP, and 0.3 GTP, pH 7.2 (electrode resistance, 2–5 MΩ). In whole-cell voltage-clamp recordings of EPSCs, the recording electrode solution contained the following (in mM): 122.5 Cs-gluconate, 17.5 CsCl, 10 tetraethylammonium-Cl, 0.2 EGTA, 10 HEPES, 2 Mg-ATP, and 0.3 GTP, pH 7.2. In all whole-cell recordings, the hippocampal CA3 region was removed and slices were bathed in a modified ACSF containing 100 μM picrotoxin, 4 mM CaCl2, and 2.4 mM MgSO4.
To measure synaptic input/output functions, fiber volleys in Schaffer collateral axons and fEPSP slopes were measured at stimulation intensities that evoked fEPSPs corresponding to 25, 50, 75, and 100% of the maximum fEPSP amplitude. AMPA receptor- and NMDA receptor-mediated components of EPSCs evoked at postsynaptic membrane potentials of −80 and +40 mV were estimated by measuring the amplitude of EPSCs at 5 and 50 ms after EPSC onset, respectively. For LTP, the 100 Hz stimulation protocol consisted of two trains of 100 Hz stimulation, each 1 s in duration and separated by 10 s. The 5 Hz protocol consisted of a 3-min-long train of single presynaptic fiber stimulation pulses delivered at 5 Hz (900 pulses delivered in total). Pairing-induced LTP was elicited by pairing 100 pulses of presynaptic fiber stimulation (delivered at 10 Hz) with a burst of three to four postsynaptic action potentials (APs) elicited by a 50 ms pulse of depolarizing current injection delivered 10 ms after EPSP onset.
We generated SAP102 mutant mice by deleting N-terminal exons and introducing a frame shift into the SAP102 gene on the mouse X chromosome (Fig. 1a). Southern blotting and PCR confirmed the structure of the altered locus in targeted ES cells and mice (Fig. 1b,c and data not shown). We analyzed SAP102 expression in wt (+/Y, wt) and hemizygous (−/Y, mutant, null) male mice using antibodies raised against the N terminus of the protein. No full-length or truncated SAP102 protein could be detected in adult forebrain extracts from SAP102 mutant mice (Fig. 1d and data not shown). Immunohistochemical staining showed robust expression of SAP102 in the hippocampus, cortex, and olfactory bulb of wt mice but complete absence in mutant mice, indicating that the mutation produces a null allele (Fig. 1e).
Consistent with the human condition (Tarpey et al., 2004), SAP102 mutant mice are viable and fertile. Crosses between heterozygous female and wt male mice produced heterozygous (+/−) female, hemizygous (−/Y) male and wt mice of both sexes in the expected Mendelian ratios (χ 2 = 5.95; p = 0.11). Crosses between hemizygous males and heterozygous females also produced Mendelian ratios of the expected offspring genotypes, including hemizygous males and homozygous (−/−) females (χ 2 = 0.37; p = 0.95). Several crosses between hemizygous male and homozygous female mice were also fertile, producing all-null litters of approximately normal size (data not shown). Brain sections stained histochemically with Nissl or immunohistochemically against PSD-95, PSD-93, NR1, NR2A, NR2B, or MAP2B showed no alterations in the morphology of the SAP102 mutant brain generally or the hippocampus in particular (data not shown) (supplemental Fig. 1, available at www.jneurosci.org as supplemental material). We found no change in neuronal cell density in hippocampal area CA1 or dentate gyrus (supplemental Fig. 2, available at www.jneurosci.org as supplemental material). Adult mutant mice displayed no gross physical or neurological abnormalities or overt seizures, and there was no difference between wt and hemizygous males in weaning body weight (data not shown).
Because humans with SAP102 mutations show mental retardation, we assessed spatial learning and reference memory in the SAP102 mutant mice using a standard water maze protocol. Initial training used a visible platform to ensure that the mice can use visual cues to navigate to the plat-form. This was followed by hidden plat-form training in which the ability of the mice to use memory-guided navigation was tested (Fig. 2a). During the visible platform training, the platform was elevated above the water and curtains were drawn around the tank to eliminate extramaze spatial cues. We observed an interaction of day and genotype (F(2,48) = 3.413; p < 0.0411), and post hoc analysis showed that the mutant mice were faster on days 2 and 3 (with no difference between the two) compared with day 1, whereas the wt mice did not improve over the 3 d (Fig. 2b, left). The mice were then trained for 5 d on a hidden platform task with extramaze cues present and a sub-merged platform (Fig. 2b, middle). The wt mice showed improvement over the 5 d, but the mutants failed to improve (F(4,100) = 3.059; p < 0.0201). Probe tests, in which the escape platform was removed from the pool, followed 10 min (H1) and 24 h (H2) after training. Performance did not differ between the two probe tests, so they were combined for additional analyses. Although no difference between the wt and knock-out mice was determined for combined probe trial (H1+H2, F(1,26) = 2.915; p < 0.10), the wt mice spent more time in the training quadrant than predicted by chance (t(13) > 3.386; p < 0.005), whereas the mutants did not (t(12) > 1.1799; p < 0.095).
We next examined flexibility of spatial learning using a reversal platform protocol, in which the hidden platform was switched to the opposite side of the pool (Fig. 2a). The path length decreased over the 5 d of reversal platform training (Fig. 2b, right) (F(4,100) = 5.597; p < 0.0004). There was no difference between the wt and mutant mice overall and no interaction of group and day, indicating that all mice were able to find the platform equally well. Memory for the platform was assessed throughout training using probe tests at the end of each day of reversal training (R1–R5) as well as 24 h and 1, 2, and 8 weeks after the last day of training (R6–R9).
The wt mice rapidly acquired the new platform position (Fig. 2c, R2–R9), performing above chance level from the first block of training (R1+R2, t(13) > 2.272; p < 0.041). In contrast, mutant mice performed no better than chance in the initial stages of training. They showed gradual improvement in their performance with training, eventually spending more time than chance in the target quadrant after completion of the 6 d training (R7, t(12) > 2.533; p < 0.025). They then retained this information for an additional 2 weeks (better than chance, R8) but, by 8 weeks after training, were back to chance levels (R9). Direct comparison of the groups confirms that the mutant mice were impaired relative to the wt mice in the early stages of training (R1+R2, F(1,25) = 4.534; p < 0.043) but that, with additional training, this deficit was alleviated (no group difference from R3+R4 onward). These results demonstrate that the SAP102 mutant mice are impaired in the initial stages of learning (R1+R2) and that this impairment can be overcome by continued training (H1+H2, R3+R4, or R5+R6). Together, these data indicate that, in the absence of SAP102, mice show a spatial learning impairment as tested in early learning, and this impairment can be overcome with continued training.
Humans and animals, when confronted with problems, including spatial tasks, can choose among multiple strategies to achieve their goal (Wolfer et al., 1997; Graziano et al., 2003; Bohbot et al., 2004). Mice have been shown to use seven strategies for locating the platform in the water maze, and these can be correlated with escape latency and ranked in order of increasing efficiency: thig-motaxis, circling, random search, scanning, self-orienting, approaching target, and direct finding (Graziano et al., 2003) (examples in Fig. 3a). To evaluate strategy usage, each individual swim trace for the visible and reversal probe trials was assigned to the seven categories. Although both mutants and wt used all of the strategies, their preferred (modal) strategies were different (Fig. 3b–e, M). In the nonspatial, visible version of the task (Fig. 3b), the wt mice preferred the self-orienting strategy, and, surprisingly, the mutants used the more efficient approaching strategy. When the mice were placed in the hippocampus-dependent submerged platform tasks (hidden and reversal) (Fig. 3c,d), the wt mice used the approaching strategy, in contrast to the SAP102 mutants that used the less efficient circling strategy. With extended training, the control mice switched the most efficient, “direct finding” strategy (R5+R6), whereas the mutant mice stayed fixated on the circling strategy (Fig. 3e).
SAP102 and wt mice both use the approaching strategy but in the different tasks, indicating that both groups of animals are capable of using this strategy but deploy it under distinct conditions. Although approaching was optimal for the mutants in the visible platform, they did not use it to find the hidden platform. This could arise if the mutants were unable to engage the approaching strategy when using spatial cues, either caused by an impairment in the cognitive processing of spatial information by NMDA receptor signaling or perhaps as a result of confounding factors attributable to sensorimotor, perceptual, or motivational defects.
To eliminate the possibility of confounds, we tested the mice in a secondary battery that included the assessment of motor coordination, muscle strength, and anxiety with the rotorod, grip strength, open-field exploration, and the elevated plus maze (data not shown) (supplemental Fig. 3, available at www.jneurosci.org as supplemental material). In the rotorod, no differences between the wt and mutant mice were detected at low or medium speeds. At the highest speed, the wt mice did not learn over days, whereas the mutant mice improved. There was no difference in grip strength detected. In the open field, there were no differences detected for time in the inner area, latency to reach the inner square, or stretch attend postures, but the mutant mice moved less as measured by line crosses, rearing, and the duration of time spent immobile. On the elevated plus maze, using the criterion defined by Weiss et al. (2000), differences need to be detected in four measures before an altered fear profile can be claimed (head dips, distance traveled, percentage time in open arms, and stretch attend postures). With these animals, there were no differences detected in the time spent in the open, stretch attend postures, or head dips, whereas the total distance traveled was lower for the mutants.
Overall, there are limited differences observed in this secondary battery, most of which show that the mutants had an altered locomotor phenotype. These differences, however, were not straightforward because, when motivation for a task was low (e.g., elevated plus maze or open-field exploration), the mutants’ performance was worse than that of the wt mice, but when the motivation for the task was high, (e.g., rotorod or swimming in the water maze), the mutants performed as well or better than the wt mice. The essence of the secondary battery is twofold. First, there is no overall difference in the “anxiety/fear profile,” and, second, there is no consistent deficit with motor coordination or strength. As a result, it is safe to conclude that the poorer performance observed by the mutants in the water maze was not attributable to increased fear or motoric phenotypes in the SAP102 mice. These data indicate that impaired learning performance in SAP102 mutants, although overcome by extended training, is ultimately achieved despite the use of suboptimal strategies.
Before assessing synaptic plasticity, we examined basic features of synaptic transmission. Because previous studies of PSD-95 and NMDA receptor knock-outs showed no major changes in basal synaptic transmission, we did not expect to find significant changes (Forrest et al., 1994; Sakimura et al., 1995; Kutsuwada et al., 1996; Tsien et al., 1996; Migaud et al., 1998). We first determined input–output functions for excitatory synaptic transmission at Schaffer collateral fiber inputs onto pyramidal cells in the hippocampal CA1 region. AMPA receptor-mediated synaptic transmission in slices from SAP102 mutant mice was normal (Fig. 4a), as was paired-pulse facilitation (Fig. 4b). The NMDA receptor-mediated component of EPSCs recorded using whole-cell voltage-clamp techniques was not different in SAP102 mutant mice (Fig. 4c). SAP102 may have an important role in the trafficking of NR2B-containing NMDA receptors (Sans et al., 2000), and changes in the subunit composition of synaptic NMDA receptors could alter the time course of NMDA receptor-mediated synaptic currents in SAP102 mutants. However, single-exponential curve fits to the decaying phase of EPSCs recorded at membrane potentials of +40 mV were also the same in CA1 pyramidal cells from SAP102 and wt mice (Fig. 4d). This suggests that there is not a decrease in NR2B-containing NMDA receptors at synapses in adult SAP102 mutant mice but does not rule out a role for SAP102 at earlier time points in development in which SAP102 is expressed at higher levels (Sans et al., 2000). Together, these results indicate that AMPA and NMDA receptor-mediated synaptic transmission is normal at Schaffer collateral fiber inputs to the hippocampal CA1 region of adult SAP102 mutant mice.
We next examined the issue that different patterns of synaptic activity, which lead to changes in synaptic strength, might use MAGUK proteins. Because PSD-95 mutants showed abnormal LTP over a wide range of stimulation conditions, we were particularly interested to ask whether SAP102 was required over the same wide range or, more interestingly, might have a requirement in more specific ranges of synaptic activity. Thus, we examined the ability of several different stimulation protocols to induce LTP in the CA1 region of hippocampal slices from SAP102 mutant mice. As shown in Figure 5a, the induction of LTP by a conventional high-frequency stimulation protocol (two trains of 100 Hz stimulation) was normal in SAP102 mutant mice. In contrast, a long, low-frequency (5 Hz) train of synaptic stimulation that induced only modest LTP in wt slices induced a twofold increase in synaptic strength in slices obtained from SAP102 mutants ( p < 0.005 compared with wt) (Fig. 5b). This is in stark contrast to PSD-95 mutants, which showed significant increases in LTP in both stimulation paradigms.
We then examined the response of excitatory synapses in the hippocampal CA1 region to spike timing-dependent plasticity protocols, a more physiologically relevant paradigm (Thomas et al., 1998; Meredith et al., 2003). In wt cells, pairing of single pulses of presynaptic fiber stimulation with a burst of postsynaptic APs induced robust LTP, whereas pairing with single postsynaptic APs did not (Fig. 5c,d). This is consistent with previously published data and demonstrates that AP bursts are the essential trigger for LTP induction in these cells. Remarkably, however, in SAP102 mutant cells, pairing with single postsynaptic APs induced robust LTP (Fig. 5c). This indicates that SAP102 plays an instrumental role in determining the rules governing how changes in synaptic strength are induced by coincident presynaptic and postsynaptic activity. Such inappropriate induction of LTP could result in degradation of information storage, producing the learning deficits observed in the SAP102 mutant mice. Moreover, in whole-cell current-clamp experiments, we found that pairing EPSPs with bursts of postsynaptic action potentials (100 pairings at 10 Hz) induced similar levels of LTP in cells from wt and SAP102 mutant mice (Fig. 5d). We conclude that SAP102 was not required for normal synaptic transmission but was necessary for frequency-specific forms of LTP and in particular that form of LTP induced by low-frequency (5 Hz) patterns of synaptic activity.
The electrophysiological specificity of the LTP phenotype provides an important clue toward the identification of the down-stream signaling pathway that must be altered in SAP102 mutants, namely, that the enzyme(s) involved must be selective for 5 Hz and not 100 Hz LTP. Previous studies show that MAP kinase kinase (MEK)/ERK signaling has precisely this property because MEK inhibitors preferentially block 5 Hz but not 100 Hz LTP in mouse CA3–CA1 slices (Winder et al., 1999). Although this suspicion was subsequently confirmed, we initially took a less biased approach using proteomic assays that measure the function of many different kinases. This differential proteomics strategy examined the levels and/or phosphorylation of 48 different postsynaptic proteins from the hippocampus of mutant mice (Fig. 6a and data not shown) (for a full list of phosphorylation sites, see supplemental Materials and Methods, available at www.jneurosci.org as supplemental material). Strikingly, these studies showed a change in only one protein: the phosphorylated form of ERK2 (phospho-ERK). Elevation of phospho-ERK in SAP102 mutants was confirmed using Western blotting (Fig. 6b) and ELISA assays (Fig. 6c), in which a modest (~25%) but consistently reproducible increase in basal phospho-ERK was seen in the mutant mice. Consistent with the idea that these changes in basal ERK activity contribute to the enhancement of LTP in SAP102 mutants, the MEK inhibitor U0126 [1,4-diamino-2,3-dicyano-1,4-bis(o-aminophenylmercapto)butadiene] blocked the enhancement of 5 Hz stimulation-induced LTP in SAP102−/y slices (Fig. 6d).
We next examined NMDA receptor activation of ERK and other members of the ERK pathway. Hippocampal slices from wt and mutant mice were stimulated by application of NMDA (20 μM for 3 min), and protein phosphorylation and levels were analyzed. In electrophysiological experiments using the same NMDA treatment, we found that NMDA had no lasting effects on synaptic transmission in wt slices and induced a significant but transient potentiation of synaptic transmission in slices from SAP102−/y mice (data not shown). Figure 6e shows that ERK phosphorylation, normalized between wt and SAP102−/Y levels at the time of stimulation, was attenuated in response to NMDA stimulation in the absence of SAP102. The response to phospho-MEK1/2, the upstream activator of ERK in the MAPK pathway, was also attenuated (Fig. 6f), although basal phospho-MEK1/2 levels were unaltered. To confirm that the attenuated phospho-ERK response was not an artifact resulting from normalization of the SAP102−/Y levels to that of wt, we performed additional independent experiments without normalization. We found an ~30% reduction in phospho-ERK levels in mutant slices compared with wt after NMDA application despite elevated basal phospho-ERK (Fig. 6g). These results show that SAP102 regulates MAPK-mediated NMDA receptor signaling.
Although MEK and ERK have been extensively characterized in the context of the induction of LTP, the physiologically relevant substrates remain less well understood. We attempted to discover the downstream effects of the altered ERK activity in SAP102 mutants by ERK substrates for which reagents were available. We found no change in phosphorylation of Kv4.2, Elk-1, pS383, p70, ribosomal S6 kinase-4 (RSK-4), or Menkes protein MNK-1 (data not shown). It is thus likely that the downstream alteration is mediated by some other, as yet undescribed, ERK substrate.
SAP102 and PSD-95 have similar protein domains, binding partners, subcellular localization, and regional expression patterns (Cho et al., 1992; Muller et al., 1996; Fukaya and Watabe, 2000), suggesting they may have overlapping and specific functions. The availability of knock-outs of both genes allows a genetic approach to this issue. We first asked whether SAP102 expression was altered in PSD-95 mutant mice. Western blots of hippocampal extracts from 10 wt and 10 mutant animals showed a robust and reproducible elevation of SAP102, suggesting some compensation for loss of PSD-95 in these mice (Fig. 7a). We had already found no change in PSD-95 protein levels in hippocampus extracts of SAP102 mice (Fig. 6a), but a change in PSD-95 localization to the NMDA receptor complex was another possible compensatory mechanism. We used coimmunoprecipitation to examine the levels of PSD-95 associated with NMDARs in SAP102 mutants. We found that more PSD-95 coimmunoprecipitated with NR1 in forebrain extracts from 10 SAP102 mutant mice than from 10 of their wt littermates (Fig. 7b). These results suggest that PSD-95 and SAP102 can be recruited to the same NMDA receptor complexes and may compete for interaction. Moreover, these results suggest that SAP102 and PSD-95 have partial functional overlap and that the phenotypes observed in the two mutant mouse strains may be tempered by compensation by the other MAGUK. If this was the case, mice with mutations in both proteins should display a more severe phenotype than that of the individual mutations. To examine this prediction, we crossed the SAP102 and PSD-95 strains. Of 88 weaned pups from these crosses, none were double null, and only two females were heterozygous for SAP102 and homozygous for PSD-95, reflecting a severely skewed distribution of genotypes among the offspring (Fig. 7c). Additional analysis indicated that the double-mutant mice die perinatally, with 4% of pups being double knock-out at birth (compared with an expected 12.5%) and none surviving past postnatal day 3. These data show that SAP102 and PSD-95 have partial function overlap and that the presence of at least one is necessary for postnatal survival.
This study shows that NMDA receptor-driven plasticity, behavior, and signal transduction is mediated by the MAGUK protein SAP102. SAP102 was required for the induction or initiation of these signaling events consistent with its direct physical association with the receptor. Remarkable specificity in the signaling responses was observed, with only specific frequencies of synaptic activation requiring SAP102 and ERK pathways. Thus, the discrimination of different patterns of neuronal activity, all of which activate the NMDA receptor, is performed by distinct MAGUK proteins that then selectively engage downstream pathways. These results are consistent with published experiments showing MAGUK selectivity in relation to NMDA receptor subunits, downstream signaling, and plasticity effector mechanisms. Biochemical and electrophysiological evidence suggests that PSD-95 preferentially associates with NR2A-containing NMDA receptors, whereas SAP102 associates with NR2B-containing receptors (Sans et al., 2000). NR2B–SAP102 complexes may inhibit the ERK/MAPK pathway, through synaptic Ras-GTPase-activating protein, to facilitate withdrawal of AMPA receptors from the postsynaptic membrane, whereas NR2A–PSD-95 complexes have the opposite effect (Kim et al., 2005).
Consistent with the notion that SAP102 may have an important role in coupling NMDA receptors to the ERK pathway, basal levels of activated ERK are elevated in the hippocampus of SAP012−/y mice, and the enhancement of 5 Hz stimulation induced LTP in slices from SAP102−/y was blocked by MEK inhibitors. Moreover, the induction of LTP by spike timing-dependent plasticity induction protocols, which is known to be dependent on ERK activation (Watanabe et al., 2002), was enhanced in SAP102 mutant mice. Importantly, ERK activation is thought to facilitate the induction of spike-timing-dependent LTP by downregulating dendritic potassium channels (Watanabe et al., 2002). However, we did not see a difference in the magnitude of the depolarizing current pulse needed to generate action potentials in SAP102 compared with wt cells (data not shown). Although this suggests that the ability of synapses in SAP102−/y mice to undergo LTP in response to EPSPs paired with single postsynaptic APs is not attributable to changes in neuronal excitability, it does not rule out the possibility that subtle changes in dendritic excitability might be involved and thus future experiments will be needed to address this possibility. Surprisingly, although the increase in basal levels of ERK activation in SAP102−/y mutants is consistent with the results from our electrophysiological studies showing that ERK-dependent forms of plasticity are enhanced in SAP102 mutants, we also found that NMDA-induced activation of the ERK pathway was suppressed in SAP102 mutants. It therefore seems likely that the elevated levels of basal ERK activity in SAP102−/y mice produce changes in downstream signaling pathways that have priming or metaplastic effects that facilitate LTP induction.
Selectivity in signal processing conferred by MAGUK proteins is a property that is likely to be important in pathological and physiological circumstances. SAP102 is not expressed in all synapses and is expressed at different times in development to PSD-95 (Sans et al., 2000). Clearly, the absence of SAP102 in the adult mouse and human is deleterious, as shown by the impairments in learning in both species. This requirement in mammals for SAP102 is likely to be a vertebrate specialization because invertebrates (including Aplysia californica, Drosophila melanogaster, and Caenorhabditis elegans) have only one dlg gene. Thus, it appears that the evolutionary expansion of the MAGUK family has provided diversity in signaling in mammals and at the same time provided a genetic vulnerability to mental illness.
These mouse genetic studies give insights into the evolution and organization of signaling proteins and the role postsynaptic complexes play in specific aspects of cognition. Classic psychological studies of information processing have defined a diverse repertoire of features that together comprise cognitive functions (James, 1890; Wilson and Keil, 1999). Among these are learning, memory, attention, perception, strategies, and planning, all of which are important in the organism’s ability to adapt to a changing environment. Our data show that a genetic manipulation in the mouse can bias the processing of information so as to affect which strategies are adopted in different forms of learning. The SAP102 mutants exhibited impairments in learning hippocampus-dependent and NMDA receptor-dependent spatial tasks. Closer inspection of their choice of escape strategy in the spatial and nonspatial learning tasks revealed that the SAP102 mutation influenced the use of strategy. A less efficient strategy was used in the spatial task, which, despite training and overall improvement in task performance, was maintained. The inability to use the optimal spatial strategy comes at the expense of faster swimming over longer routes. In the nonspatial task, the mutants used the same strategy as that used by the wt mice in the spatial task. Surprisingly, this strategy used by the mutants in the visible platform task was a more efficient strategy than that used by the wt mice in this task. These results indicate that the mutation leads to an altered deployment of strategy in different behavioral settings. These data are more consistent with an impairment in the engagement of those strategies rather than in strategy formulation or utilization per se. As exemplified here in these spatial and nonspatial strategies, multiple cognitive systems are often available to animals for dealing with particular tasks. This redundancy and overlap, even competition among different strategies, is likely to be more prevalent in humans in which attention to visual stimuli is the result of the competition between selectivity and the limited capacity for processing information within the CNS (Desimone and Duncan, 1995). It is notable that children with diseases of human cognition such as autism or Asperger’s disorder excel in some perceptual tasks as a result of the strategies made available to them by their deficits (O’Riordan and Plaisted, 2001).
Our observations of SAP102 function may be directly relevant to the mechanisms of autism because MAGUK proteins in the NMDA receptor complex bind directly to neuroligin, an autism susceptibility gene (Irie et al., 1997; Yan et al., 2004). In addition to neuroligin, the immediate pathways involving SAP102 and ERK include other genes on the X chromosome, two of which have been shown to underlie human cognitive impairment: fragile X mental retardation protein (Siomi et al., 1993; Todd et al., 2003), which regulates PSD-95 (K. S. Dickson, C. Bagni, and S. G. N. Grant, unpublished observations), and RSK, which is downstream of ERK (Trivier et al., 1996). SAP102, ERK, RSK, and neuroligin have been reported in NRC/MAGUK-associated signaling complexes (MASC), indicating that these complexes are a common target for X-linked cognitive impairments. We predict that additional genetic dissection of NRC/MASC in mouse and humans should uncover novel mechanisms of cognition and its disorders.