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ENU-mutagenesis mice with a non-synonymous mutation in Grin1 exhibit abnormal anxiety-like behaviors, impaired fear memory, and decreased acoustic startle response

BMC Research Notes volume 6, Article number: 203 (2013) Cite this article

Abstract

Background

The Grin1 (glutamate receptor, ionotropic, NMDA1) gene expresses a subunit of N-methyl-D-aspartate (NMDA) receptors that is considered to play an important role in excitatory neurotransmission, synaptic plasticity, and brain development. Grin1 is a candidate susceptibility gene for neuropsychiatric disorders, including schizophrenia, bipolar disorder, and attention deficit/hyperactivity disorder (ADHD). In our previous study, we examined an N-ethyl-N-nitrosourea (ENU)-generated mutant mouse strain (Grin1Rgsc174/Grin1+) that has a non-synonymous mutation in Grin1. These mutant mice showed hyperactivity, increased novelty-seeking to objects, and abnormal social interactions. Therefore, Grin1Rgsc174/Grin1+ mice may serve as a potential animal model of neuropsychiatric disorders. However, other behavioral characteristics related to these disorders, such as working memory function and sensorimotor gating, have not been fully explored in these mutant mice. In this study, to further investigate the behavioral phenotypes of Grin1Rgsc174/Grin1+ mice, we subjected them to a comprehensive battery of behavioral tests.

Results

There was no significant difference in nociception between Grin1Rgsc174/Grin1+ and wild-type mice. The mutants did not display any abnormalities in the Porsolt forced swim and tail suspension tests. We confirmed the previous observations that the locomotor activity of these mutant mice increased in the open field and home cage activity tests. They displayed abnormal anxiety-like behaviors in the light/dark transition and the elevated plus maze tests. Both contextual and cued fear memory were severely deficient in the fear conditioning test. The mutant mice exhibited slightly impaired working memory in the eight-arm radial maze test. The startle amplitude was markedly decreased in Grin1Rgsc174/Grin1+ mice, whereas no significant differences between genotypes were detected in the prepulse inhibition (PPI) test. The mutant mice showed no obvious deficits in social behaviors in three different social interaction tests.

Conclusions

This study demonstrated that the Grin1Rgsc174/Grin1+ mutation causes abnormal anxiety-like behaviors, a deficiency in fear memory, and a decreased startle amplitude in mice. Although Grin1Rgsc174/Grin1+ mice only partially recapitulate symptoms of patients with ADHD, schizophrenia, and bipolar disorder, they may serve as a unique animal model of a certain subpopulation of patients with these disorders.

Background

N-methyl-D aspartate (NMDA) receptors are a class of glutamate receptors composed of heteromeric complexes containing an essential Grin1 subunit and an additional Grin2A-D or Grin3A-B subunit [1–3]. NMDA receptors play important roles in excitatory neurotransmission, synaptic plasticity, and brain development [4–8]. The essential Grin1 subunit is ubiquitously expressed in the central nervous system (CNS) during the embryonic and adult stages of development [2, 9]. Dysfunction of glutamate signaling has been proposed to be involved in the etiology of schizophrenia [10–12]. This hypothesis originates from pharmacological evidence that the abuse of NMDA antagonists, such as ketamine and phencyclidine (PCP), causes symptoms typically observed in schizophrenia, including psychosis, social withdrawal, and working memory deficits [13, 14]. Moreover, human genetic studies have suggested that GRIN1[15–17], GRIN2B[18], and GRIN2D[19] are related to genetic susceptibility to schizophrenia. Significant associations have also been reported between GRIN1 and bipolar disorder [20], as well as between GRIN2B and ADHD [21].

Grin1 hypomorphic mice, which express 5–10% of Grin1 compared to wild-type, show increased locomotor activity and stereotypy [22, 23], impaired social [23, 24] and sexual behaviors [22], deficits in nest building [22], and decreased PPI [24], all of which are considered to be behavioral abnormalities relevant to schizophrenia [25]. Other mutant mice with targeted point mutations in Grin1 show increased locomotor activity [26–28], reduced anxiety-like behaviors [27], abnormal social behaviors [29, 30], deficits in spatial working memory [31], and decreased PPI [29], indicating that altered functions in Grin1 cause behavioral phenotypes related to schizophrenia, bipolar disorder, and ADHD. Recently, Grin1Rgsc174/Grin1+ mice, a heterozygous mutant strain with a non-synonymous mutation of the C to T transition in exon 18 (R844C in C0 domain) of Grin1, were screened in a large-scale N-ethyl-N-nitrosourea (ENU) mutagenesis project [32]. The homozygous missense mutation (R844C) caused an increased and prolonged calcium influx in cultured cortical neurons after NMDA stimulation [32]. Grin1Rgsc174/Grin1+ mice showed increased locomotor activity, novelty-seeking behavior toward objects, and decreased social interactions [32]. The administration of methylphenidate (MPH), a psychostimulant drug that generally leads to increased locomotor activity in mice, paradoxically attenuates locomotor hyperactivity in Grin1Rgsc174/Grin1+ mice [32]. This paradoxical calming effect of MPH in Grin1Rgsc174/Grin1+ mice is thought to be analogous to the pharmacological response to MPH in ADHD patients, whose hyperactivity, impulsivity, and attention deficits are attenuated with MPH [33, 34]. Therefore, Grin1Rgsc174/Grin1+ mice, which have an altered function of their NMDA receptors [32], may also serve as a potential animal model of those disorders. However, other behavioral characteristics, including cognitive functions and sensorimotor gating, have not been fully explored in Grin1Rgsc174/Grin1+ mice.

Using a comprehensive behavioral test battery, we found several genetically engineered mouse lines that showed abnormal behaviors related to schizophrenia, such as a severe deficit in working memory and increased locomotor activity [35–39]. Among these mutant mice, alpha-calcium/calmodulin-dependent protein kinase II (αCaMKII) heterozygous knockout (KO) mice [35], forebrain-specific Calcineurin KO [36], SNAP-25 knock-in (KI) [37], and Schnurri-2 (Shn-2) KO mice [38] share an “immature dentate gyrus (iDG)” phenotype, in which the molecular and physiological features of the dentate gyrus (DG) granule cells in the hippocampus are similar to those of immature DG granule cells in normal rodents. Recently, iDG-like phenotypes have been found in the hippocampi of postmortem brains in human schizophrenia/bipolar patients, indicating that iDG represents a candidate endophenotype for the etiology of these diseases [40]. In addition, Grin1 binds to αCaMKII through the C0 domain, a C-terminus domain of Grin1 [41], raising the possibility that the mutation in the C0 domain may alter the interaction between Grin1 and αCaMKII. Grin1Rgsc174/Grin1+ mice and αCaMKII HKO mice may share some molecular/cellular abnormalities.

In the present study, we subjected Grin1Rgsc174/Grin1+ mice to a comprehensive battery of behavioral tests to further investigate their abnormal behaviors related to neuropsychiatric disorders, such as schizophrenia, bipolar disorder, and ADHD. The battery of behavioral tests included the eight-arm radial maze and the prepulse inhibition (PPI) test, which are used to assess working memory function and sensorimotor gating, respectively. We also conducted neurological screens and wire hang, light/dark transition, open field, elevated plus maze, social interaction, rotarod, hot plate, acoustic startle response, Porsolt forced swim, tail suspension, Contextual and cued fear conditioning, and home cage activity tests. Additionally, using quantitative PCR analysis, we investigated whether Grin1Rgsc174/Grin1+ mice have a gene expression pattern that could represent the maturation abnormality in DG granule cells [35–38].

Results

General health, neurological reflex, and motor coordination/learning in Grin1Rgsc174/Grin1+ mice

No abnormal neurological features, such as whisker twitch or righting reflex, were found in Grin1Rgsc174/Grin1+ mice (Table 1). Body weight was significantly reduced (Figure 1A; F1,19 = 11.940, p = 0.0026) and latency to fall was significantly decreased in the wire hang test (Figure 1E; F1,19=4.956, p=0.0383) in these mutant mice compared to wild-type mice. There were no significant differences in body temperature between the genotypes (Figure 1B; F1,19 = 0.188, p = 0.6693), grip strength (Figure 1C; F1,19 = 1.552, p = 0.228) or latency to the first hind-paw response in the hot plate test (Figure 1E; F1,19 = 0.286, p = 0.5992). Grin1Rgsc174/Grin1+ mice showed a significantly longer latency to fall in the accelerating rotarod test compared to wild-type mice (Figure 1F; F1,19=11.554, p = 0.030). Previous studies revealed that body weight is negatively correlated with rotarod performance [42, 43]. A similar negative correlation was observed in Grin1Rgsc174/Grin1+ mice (Figure 1G; body weight vs. average latency (1st day); r = −0.566, p = 0.0065). Analysis of covariance (ANCOVA) with body weight as a covariate found no significant effect of genotype on latency to fall (F1,19 = 0.026, p = 0.8730), indicating that the seemingly improved rotarod performance may reflect the reduced body weight of Grin1Rgsc174/Grin1+ mice. In the gait analysis, Grin1Rgsc174/Grin1+ mice exhibited a significant narrowed stance width of the hind paws (width between hind limbs) compared with wild-type mice (Figure 1O, F1,15 = 8.135, p= 0.0121). A previous study reported that the stance width was widened in rats with injured spinal cords and became narrowed during injury recovery after a locomotor training paradigm [44]; therefore, the narrowed stance width in Grin1Rgsc174/Grin1+ mice may represent improved motor coordination. No significant differences were detected between genotypes in any other indices of the gait analyses (Figure 1G-R; Figure 1O, F1,15 = 8.135, p= 0.0121). These observations indicate that there are no clear deficits in nociception, neuromuscular strength, or motor coordination/learning in Grin1Rgsc174/Grin1+ mice.

Table 1 Neurological reflexes in Grin1Rgsc174/Grin1+mice
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Figure 1
figure1

General health, neurological reflex, nociception, and motor coordination/learning in Grin1Rgsc174/ Grin1+mice. Grin1Rgsc174/Grin1+ mice showed significantly decreased body weight (A) and an increased latency to fall in the wire hang test (D) compared to wild-type mice. There were no significant differences between the genotypes regarding body temperature (B), grip strength (C), or latency to the first hind-paw response in the hot plate test (E). (F) The latency to fall of Grin1Rgsc174/Grin1+ mice was significantly increased in the rotarod test. (G) Body weight was negatively correlated with rotarod latencies (averaged latency on the 1st day) in Grin1Rgsc174/Grin1+ and wild-type mice. In the gait analysis, Grin1Rgsc174/Grin1+ mice showed a significant decrease in the stance width of the hind paws (P). No significant differences were detected in any other of the following indices of front (H-M) or hind (N-S) paw the gait analysis: percentage of stride duration in swing, brake, and propel (H, N), percentage of stance duration in brake and propel (I, O), stance width (cm) of front paws (J), stride length (cm) (K, Q), step angle (degree) (K, Q), and paw angle (degree) (L, R). The p values indicate the effect of genotype in one-way ANOVA.

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Increased locomotor activity in Grin1Rgsc174/Grin1+ mice

In the open field test, the total distance traveled was significantly increased (Figure 2A; F1,19 = 31.867, p < 0.0001; genotype × time interaction, F23,437 = 4.700, p < 0.0001), while no significant increase in time spent in the center area was detected in Grin1Rgsc174/Grin1+ mice compared to wild-type mice (Figure 2B; F1,19 = 0.461, p = 0.5053). These observations are consistent with a previous study [31]. There was no significant effect of the genotype in vertical activity for 120 min (Figure 2C; F1,19 = 0.501, p = 0.4876), although there was a significant genotype × time interaction between genotypes (Figure 2C; F23,437 = 1.882, p =0.0085). Stereotypic behavior was significantly increased in Grin1Rgsc174/Grin1+ mice compared with wild-type mice (Figure 2D; F1,19 = 9.015, p = 0.0073). Increased locomotor activity of Grin1Rgsc174/Grin1+ mice was detected in other behavioral measures: total distance traveled in a light chamber in the light/dark test (Figure 3D; F1,19=4.942, p=0.0385), the social interaction test in a novel environment (Figure 4D; F1,38=8.141, p=0.0214), and the Crawley’s sociability (Figure 4I; F1,19 = 12.224, p =0.0024) and social novelty preference tests (Figure 4L; F1,19 = 61.313, p < 0.0001).

Figure 2
figure2

(A) Increased locomotor activity of Grin1Rgsc174/Grin1+mice. In the open field test, the total traveled distance was significantly increased in Grin1Rgsc174/Grin1+ mice. (B) There was no significant difference between the genotypes in the time spent in the center of the compartment. (C) Significant increases were detected in the vertical activity during the earlier portion (0–30 min) of the trials, but not over the total time or in during the later portion (30–120 min) of the trials. (D) Stereotypy was significantly increased in Grin1Rgsc174/Grin1+ mice. The p values indicate the effect of genotype in two-way repeated measures ANOVA.

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Figure 3
figure3

Abnormal anxiety-like behaviors in Grin1Rgsc174/ Grin1+mice. (A) In the light/dark transition test, the number of transitions decreased in Grin1Rgsc174/Grin1+ mice compared to wild-type mice. No significant differences were detected in the time spent in the light compartment (B), latency to enter the light compartment (C), or distance traveled in the light/dark compartments (D). In the elevated plus maze test, the percentage of time spent in the open arms (E) and the percentage of entries into the open arms (F) were significantly increased in Grin1Rgsc174/Grin1+ mice. There were no significant differences between genotypes in the number of arm entries (G) or distance traveled (H). The p values indicate the genotype effect in one-way ANOVA.

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Figure 4
figure4

No obvious deficit in the social interaction of Grin1Rgsc174/Grin1+mice. In the social interaction test in an open field, there were no significant differences in the number of contacts (A), mean duration of each contact (B), or total duration of contacts (C) between Grin1Rgsc174/Grin1+ and wild-type mice. (D) The total traveled distance was significantly increased in Grin1Rgsc174/Grin1+ mice. In the social interaction test in home cage, there were no significant differences between genotypes in the mean numbers of particles (E) or activity levels (F). Locomotor activity from 5:00 a.m. to 6:00 a.m. was significantly increased in Grin1Rgsc174/Grin1+ mice. (G) In the Crawley’s three-chamber social approach test, there was no significant difference in preference between an empty cage and a cage with a stranger mouse, in either wild-type or in Grin1Rgsc174/Grin1+ mice. (H) No significant differences were detected in total time spent around either the cage with the stranger mouse or the empty cage. (I) The distance traveled was significantly increased in Grin1Rgsc174/Grin1+ mice. In the social novelty preference test, (J) Grin1Rgsc174/Grin1+ mice spent a longer time in the cage with a stranger mouse than with the familiar one, but there was no significant difference between genotypes in the time spent in the cage with the stranger mouse. (K) There was no significant difference in the total time spent around either cage with the familiar mouse or with the stranger one. (L) The total distance traveled by Grin1Rgsc174/Grin1+ mice was significantly greater than that of wild-type mice in the social novelty preference test. The p values indicate the effect of genotype in one-way ANOVA, or in two-way repeated measures ANOVA (E, F) or the paired t-tests (G, J).

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Abnormal anxiety-like behaviors in Grin1Rgsc174/Grin1+ mice

In the light/dark transition test, the number of transitions between chambers was significantly decreased in Grin1Rgsc174/Grin1+ mice (Figure 3A; F1,19=11.418, p=0.0032). There were no significant differences between genotypes in the time they remained in a light chamber (Figure 3B; F1,19=3.554, p=0.0748) or in the first latency to enter the light chamber (Figure 3C; F1,19=0.979, p=0.3348). Grin1Rgsc174/Grin1+ mice traveled significantly longer distances in the light chamber (Figure 2D; F1,19=4.942, p=0.0385), but not in the dark one (Figure 2D; F1,19=1.776, p=0.1983). In the elevated plus maze test, the percentage of time spent in the open arms and the percentage of entries into the open arms by Grin1Rgsc174/Grin1+ mice were significantly higher than those by wild-type mice (Figure 2E; time spent in the open arms, F1,18=54.874, p<0.0001; Figure 2F; entries into the open arms, F1,18=55.392, p < 0.0001). There were no significant differences between the genotypes in the total number of entries into the arms (Figure 2G; F1,18=1.814, p = 0.1948) or in the distance traveled (Figure 2H; F1,18 = 1.985, p = 0.1759). The number of transitions between the chambers decreased in the light/dark transition test, suggesting increased anxiety-like behavior in Grin1Rgsc174/Grin1+ mice. On the other hand, the mutant mice displayed a higher percentage of time spent in open arms and a higher percentage of entries into the open arms in the elevated plus maze test, which are generally interpreted as decreased anxiety-like behaviors. Thus, apparently opposite anxiety-like behaviors were observed between the light/dark transition test and elevated plus maze test. For a more detailed interpretation of these results, see the Discussion section.

No abnormalities in the Porsolt forced swim or tail suspension tests in Grin1Rgsc174/Grin1+ mice

There were no significant differences between the Grin1Rgsc174/Grin1+ and wild-type mice in immobility on day 1 (Figure 5A; genotype effect, F1,19 = 2.949 × 10-5, p = 0.9957; genotype × time interaction, F9,171 = 1.099, p = 0.3659) or day 2 (Figure 5B; genotype effect, F1,19 = 0.033, p = 0.8585; genotype × time interaction, F9,171 = 0.180, p = 0.9959), or in distance traveled on day 1 (Figure 5C; genotype effect, F1,19 = 1.642, p = 0.2154) or day 2 (Figure 5D; genotype effect, F1,19 = 1.062, p = 0.3156) in the Porsolt forced swim test. In the tail suspension test, there was no significant difference in immobility between the genotypes (Table 2).

Figure 5
figure5

Normal depression-like behavior in Grin1Rgsc174/ Grin1+mice. In the Porsolt forced swim test, there were no significant differences in the percentage of immobility time at day 1 (A) or day 2 (B), or in the distance traveled at day 1 (C) or day 2 (D) between Grin1Rgsc174/Grin1+ mice and wild-type mice. The p values indicate the effect of genotype in two-way repeated measures ANOVA. Bars indicate the means ± standard errors of the mean.

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Table 2 Tail suspension and prepulse inhibition tests of Grin1Rgsc174/Grin1+mice
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No obvious deficit in the social interactions of Grin1Rgsc174/Grin1+ mice

In the social interaction test conducted in a novel environment, there were no significant differences between the Grin1Rgsc174/Grin1+ and wild-type mice in the number of contacts (Figure 4A; F1,8 = 2.364, p = 0.1627), mean duration per contact (Figure 4B; F1,8 = 2.017, p = 0.1934), or total duration of contact (Figure 4C; F1,8 = 0.646, p = 0.4447). These results are inconsistent with the previous results indicating that the total interaction time in Grin1Rgsc174/Grin1+ mice had significantly decreased compared to that in wild-type mice in an open field during a social interaction test [31]. In the test of social behaviors in home cage, no significant difference was detected in social interaction between Grin1Rgsc174/Grin1+ and wild-type mice (Figure 4E; whole period, F1,6 = 0.076, p = 0.7924; light period, F1,6 = 0.089, p=0.7752; dark period, F1,6 = 0.278, p=0.6170). There was no significant effect of genotype on locomotor activity, which was quantified as the number of pixels changed between each pair of successive frames in home cage (Figure 4F; whole period, F1,6 = 2.101, p = 0.1974; day period, F1,6 = 0.005, p = 0.9480; night period, F1,6 = 3.843, p=0.0976), although there was a significant genotype × time interaction between the genotypes (Figure 2C; F23,437 = 1.882, p =0.0085). Given that the mutant mice showed significantly increased locomotor activity in their home cages in the previous observations [31] and in one-sided testing of the present study (p= 0.0488), the non-significant genotype effect was most likely caused by the small number of pairs (Wild-type, N=5; Mutant mice, N=3). In fact, Grin1Rgsc174/Grin1+ mice displayed apparently increased locomotor activity throughout the night period, and this activity was significantly increased during the time period from 5:00 a.m. to 6:00 a.m. (Figure 4F; F1,6 = 7.297, p=0.0355) in their home cage. In the Crawley’s three-chamber social approach test, there was no significant difference in preference between the empty cage and the cage with a stranger mouse, either in wild-type or Grin1Rgsc174/Grin1+ mice (Figure 4G; time spent around the cages; stranger cage vs. empty cage; paired t-test; wild-type mice, t10= 1.774, p= 0.1065; Grin1Rgsc174/Grin1+ mice, t9 = 1.005, p = 0.3410). No significant difference between genotypes was detected in the total time spent around the empty chamber or the chambers of the stranger mouse (Figure 4H; genotype, F1,19 = 1.788, p = 0.1970). In the social novelty preference test, Grin1Rgsc174/Grin1+ mice spent more time in the cage with a novel (stranger) mouse compared to the time spent in the cage with the familiar mouse (the first, already-investigated mouse), whereas wild-type mice did not show a preference between the familiar mouse and a stranger mouse (Figure 4J; time spent in cages (familiar vs. stranger); paired t-test; Grin1Rgsc174/Grin1+ mice, t9 = 3.877, p = 0.0038; wild-type mice, t10 = −0.706, p = 0.4963). Similar results were obtained in the time spent around the chambers (familiar side vs. stranger side, paired t-test; wild-type mice, t10 =−0.451, p=0.6616; Grin1Rgsc174/Grin1+ mice, t9 =3.721, p=0.0048). In comparison with wild-type mice, Grin1Rgsc174/Grin1+ mice spent significantly less time in the cage with the familiar mouse (Figure 4J; genotype, F1,19 = 11.847, p = 0.0027), while no significant difference between the genotypes was detected in time spent in the cage with a novel mouse (Figure 4J; genotype, F1,19 = 0.711, p = 0.4096). These observations suggest that social novelty preference is increased in Grin1Rgsc174/Grin1+ mice. There was no significant difference between the genotypes in the total time spent around both the cages of the familiar and of the stranger mice (Figure 4K; genotype, F1,19 = 3.180, p = 0.0905). There were no obvious impairments in the Grin1Rgsc174/Grin1+ mice in three different tests for social behavior.

Severely impaired fear memory in Grin1Rgsc174/Grin1+ mice

In the contextual and cued fear conditioning test, there was no significant difference in freezing between genotypes in the conditioning phase (Figure 6A; genotype effect, F1,15 = 0.879, p = 0.3633; genotype × time interaction, F7,105 = 1.701, p = 0.1165). Contextual freezing at 1 day after training was significantly decreased in Grin1Rgsc174/Grin1+ mice compared to wild-type mice (Figure 6B; genotype effect, F1,15=8.848, p = 0.0095). In the altered context, although there was no significant difference in freezing during the pre-tone period between genotypes (Figure 6C; genotype effect, F1,15 = 0.078, p = 0.7839), freezing during the tone period was significantly lower than in wild-type mice (Figure 6C; genotype effect, F1,15 = 7.206, p = 0.017). Grin1Rgsc174/Grin1+ mice showed a significant increase in distance traveled immediately after the first footshock compared to wild-type mice, and no significant differences were detected in these measurements after the second or third footshocks (Figure 6D; Footshock 1, F1,15 = 6.270, p = 0.0243; Footshock 2, F1,15 = 0.566, p = 0.4635; Footshock 3, F1,15 = 0.221, p = 0.6449). These findings demonstrate that both contextual and cued fear memory are impaired in Grin1Rgsc174/Grin1+ mice.

Figure 6
figure6

Severely impaired fear memory and mild deficits in the spatial working memory in Grin1Rgsc174/Grin1+mice. (A) There were no significant differences between the genotypes in the percentage of time freezing during conditioning in the contextual and cued fear conditioning tests. Grin1Rgsc174/Grin1+ mice displayed a decreased percentage of time freezing in the contextual (B) and cued tests (C) compared to wild-type mice. Grin1Rgsc174/Grin1+ mice showed an increase in distance traveled immediately after footshock 1, but not after footshocks 2 or 3 in the training phase (D). In the eight-arm radial maze, there was no significant difference between Grin1Rgsc174/Grin1+ and wild-type mice in the number of revisiting errors (E), different arm choices (F), or latency (G) in the first eight entries during the test session without delay (1–19 blocks). No significant difference between the genotypes was detected in the number of revisiting errors (H), or latency (J) in the later session (20–22 blocks) with delays (30, 120, and 300 sec). The mutant mice showed a significantly lower number of different arm choices during the first eight entries in the trials with delay (I). The p values indicate the genotype effect in two-way repeated measures ANOVA.

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Moderately impaired spatial working memory in Grin1Rgsc174/Grin1+ mice

In the eight-arm radial maze test, there were no significant differences in the number of revisiting errors during the trials without delays (1–19 blocks, Figure 6E; genotype effect, F1, 15 =1.112, p = 0.3083; genotype × trials interaction, F18,270 = 0.647, p = 0.8602) or during the trials with delay (20–22 blocks Figure 6H; genotype effect, F1,15 =0.072, p = 0.7926; genotype × trials interaction, F2,30 = 0.398, p = 0.6753) between the Grin1Rgsc174/Grin1+ and wild-type mice. No significant difference was detected in the number of different arm choices during the first eight entries in the trials without delays (1–19 blocks, Figure 6F; genotype effect, F1,15= 0.724, p = 0.4082; genotype × trials interaction, F18,270 = 0.837, p = 0.6562). To increase the difficulty of the task, a delay period (30 sec, 2 min, and 5 min) was provided after four pellets had been taken by confining the mice to the center platform in the 20th, 21st, and 22nd blocks of the trials. Grin1Rgsc174/Grin1+ mice showed a significantly lower number of different arm choices during the first 8 entries in the trials with delay (Figure 6I; genotype effect, F1,15 =5.431, p=0.0341; genotype × trials with delay interaction, F2,30 = 0.251, p=0.7792). No significant difference was detected in the latency to obtain all pellets between Grin1Rgsc174/Grin1+ and wild-type mice (Figure 6G; without delay, genotype effect, F1,15 = 1.833, p = 0.1945; genotype × trials interaction, F18,270 = 1.143, p = 0.2611; Figure 6J; with delay, genotype effect, F1,15= 0.370, p = 0.8678; genotype × trials interaction, F2,30 = 0.370, p = 0.8678). The results of the eight-arm radial maze test suggest moderately impaired spatial working memory in Grin1Rgsc174/Grin1+ mice. However, it is possible that the increased locomotor activity causes the mild performance deficit to become a confounding factor.

Decreased startle response of Grin1Rgsc174/Grin1+mice

Grin1Rgsc174/Grin1+ mice had markedly lower startle amplitude than wild-type mice at both 110 dB and 120 dB (Figure 7A; genotype effect, 110 dB: F1,18 = 57.464, p < 0.0001, 120: F1,18=83.542, p < 0.0001). We did not detect significant differences in PPI between the genotypes (Table 2).

Figure 7
figure7

Decreased startle response in Grin1Rgsc174/ Grin1+mice. Grin1Rgsc174/Grin1+ mice had significantly lower startle amplitude than wild-type mice at both 110 dB and 120 dB. The p values indicate the effect of genotype in one-way ANOVA.

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Expression pattern of maturation markers of DG neurons in Grin1Rgsc174/Grin1+ mice

To address whether Grin1Rgsc174/Grin1+ mice show maturation abnormalities in dentate granule cells, the expression patterns of markers for “immature dentate gyrus (iDG)”, upregulation of dopamine receptor D1A (Drd1a) and downregulation of desmoplakin (Dsp), tryptophan 2,3-dioxygenase (Tdo2), and Calbindin-28k (Calb1), were assessed by quantitative RT-PCR using total RNA extracted from the hippocampus. The expression of Tdo2 and Calb1 was slightly but significantly reduced in the mutant mice compared to wild-type mice (Figure 8; Tdo2, p = 0.006; Calb1, p = 0.002). There were no significant differences between Grin1Rgsc174/Grin1+ and wild-type mice in the expressions of Dsp or Drd1a (Figure 8; Dsp, p = 0.197; Drd1a, p=0.652). In Grin1Rgsc174/Grin1+ mice, two out of the four marker genes showed iDG-specific gene expression patterns, suggesting that they may partially display the iDG phenotype.

Figure 8
figure8

Expression pattern of maturation markers of DG neurons in Grin1Rgsc174/ Grin1+mice. The expression of Tdo2 and Calb was significantly reduced in Grin1Rgsc174/Grin1+ mice compared to those in wild-type mice. There were no significant differences between the genotypes in the expression of Dsp or Drd1a. The p values indicate the effect of genotype in one-way ANOVA.

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Discussion

In the present study, we used a comprehensive battery of behavioral tests to analyze the physical and behavioral profiles of an ENU-generated mutant mouse strain (Grin1Rgsc174/Grin1+) with a non-synonymous mutation in Grin1. Grin1Rgsc174/Grin1+ mice exhibited increased locomotor activity, abnormal anxiety-like behaviors, severe deficits in fear memory, moderately impaired spatial working memory, and decreased acoustic startle responses. No obvious deficits were observed in neuromuscular strength or social behaviors in Grin1Rgsc174/Grin1+ mice. There were no significant differences between genotypes in the Porsolt forced swim, tail suspension, or PPI tests.

NMDA receptors are thought to be involved in fear memory [45–47]. Pharmacological studies have shown that the administration of NMDA antagonists blocks synaptic transmission in the amygdala and the acquisition of fear memory [47–50]. Studies using inducible and reversible Grin1 KO mice also demonstrated that the expression of Grin1 in the forebrain is necessary for the consolidation [51] and preservation of remote memory [52] in the fear conditioning test. An increased and prolonged Ca2+ influx after activation of the NMDA receptor was observed in cultured cells derived from the cortices of Grin1Rgsc174/ Grin1Rgsc174, but not in Grin1Rgsc174/Grin1+ mice [32]. However, in vivo, it is possible that NMDA receptor signaling is also dysregulated also in Grin1Rgsc174/Grin1+ mice. Severely impaired contextual and cued fear memory may be caused by the perturbation of signaling via NMDA receptors in the amygdala and/or forebrain in Grin1Rgsc174/Grin1+ mice. Further studies are required to elucidate the precise mechanisms by which fear memory is impaired in Grin1Rgsc174/Grin1+ mice.

Grin1Rgsc174/Grin1+ mice exhibited increased time spent in the open arms and a greater number of entries into the open arms in the elevated plus maze test, which is generally interpreted as a decrease in anxiety-like behavior. In contrast, in the light/dark transition test, Grin1Rgsc174/Grin1+ mice displayed a decreased number of transitions between the light and dark chambers, which is a well-validated index of anxiety-like behavior [53]. Forebrain-specific Calcineurin KO mice [54], pituitary adenylate cyclase-activating polypeptide (PACAP) KO mice [39], and Shn-2 KO mice [38] also showed these apparently conflicting abnormal behaviors: smaller number of transitions and/or prolonged latency in the light box in the light/dark transition test, and increases in time spent in the open arms and/or in the number of entries into the open arms in the elevated plus maze test. This pattern of abnormalities has been interpreted in previous studies to reflect an elevated panic-like escape response to stress and/or a higher level of anxiety [54–56]. The plasma corticosterone (CORT) level is a recognized measure of sensitivity to stress [57]. Shn-2 KO mice showed increased plasma CORT levels after the elevated plus maze test, which were significantly higher than those in the wild-type mice [58]. In Grin1Rgsc174/Grin1+ mice, increases in locomotor activity were not observed in the elevated plus maze test or in the first period (0–5 min) of the open field test, although increased locomotor activity, a robust behavioral phenotype, was detected in the later period of the open field, home cage, and light/dark transition tests in Grin1Rgsc174/Grin1+ mice. These observations suggest that anxiety is possibly elevated in Grin1Rgsc174/Grin1+ mice, which might cause suppression of locomotor hyperactivity under a stressful and/or novel situation. Further studies are needed to determine whether anxiety is increased or decreased in Grin1Rgsc174/Grin1+ mice. For example, in the elevated plus maze test, it would be interesting to evaluate whether administration of anxiolytic drugs suppress the increased time spent in open arms, reflecting an elevated panic-like escape response or a decreased anxiety-like behavior in the mutant mice. In addition, anxiety could be evaluated through quantification of serum corticosterone levels, which increase in response to stress, or of c-fos expression in the brain regions that are thought to play a role in emotional processing, including the amygdala, midline thalamic nuclei, several medial hypothalamic nuclei, and dorsal raphe nucleus [58–60]. Anxiety-like behaviors could be affected by prior tests [61, 62], and the order of tests employed in the present study, might have caused the apparently discrepant results between the light/dark transition and elevated plus maze tests. It is possible that it takes a long time for the mutant mice to become familiar with the behavioral test battery. Therefore, the mutant mice apparently showed increased anxiety-like behavior in light/dark transition test performed as the first test in our behavioral test battery, and the mutant mice might display intrinsically decreased anxiety-like behavior in the elevated plus test that was conducted in the later part of the test battery. To test this possibility, it would be important that the light/dark transition and elevated plus maze tests are performed in a varied order, or the elevated plus maze test is conducted first in the test battery.

There were no significant differences in social interaction tests in either the open field or the home cage in the present study, which might be due to the small number of pairs used in these tests (wild-type, N=5; mutant, N=3). The social novelty preference in Crawley’s three-chamber test increased in Grin1Rgsc174/Grin1+ mice. The wild-type mice exhibited no significant preference for social novelty. This result is sometimes observed with the protocol used for the present study, in which the mice are habituated to the apparatus the day before the social novelty preference test. When habituation is accomplished just before the test, social novelty preferences are detected in wild-type mice (data not shown). It would be of interest to perform the social novelty preference test with the modified protocol. Because increased novelty-seeking behavior toward objects was also observed in these mutant mice [32], it is possible that the increased social novelty preference observed here may reflect an enhanced general novelty-seeking tendency of the mice. Grin1Rgsc174/Grin1+ mice did not show obvious abnormal social behaviors that have been observed in other mouse lines that exhibit behavioral abnormalities related to schizophrenia [25]. These observations do not suggest that Grin1Rgsc174/Grin1+ mice recapitulate social withdrawal, which is a negative symptom of schizophrenia.

Mice lacking Grin2A, a subtype of one of the NMDA subunits, display mildly weakened neuromuscular strength in the wire-hang and balance beam tests and normal performance in the grip strength test [63]. The decreased latency to fall observed in the accelerating rotarod test in Grin2A KO mice suggests that motor coordination/learning is impaired in these mutant mice [64]. In our study, a trend similar to that observed for Grin2A KO mice was detected in the test of neuromuscular strength in Grin1Rgsc174/Grin1+ mice: a short latency to fall in the wire hang test and a normal performance in the grip strength test. In contrast, the latency to fall of Grin1Rgsc174/Grin1+ mice increased in the rotarod test. The lower body weight of Grin1Rgsc174/Grin1+ mice might explain the increased performance in this test. Consistent with this hypothesis, an analysis of covariance (ANCOVA) using body weight as a covariate found no significant effect of genotype on rotarod latencies, indicating that motor coordination/learning is normal in Grin1Rgsc174/Grin1+ mice. It is possible that the lower performance in the wire hang test was caused by increased locomotor activity in Grin1Rgsc174/Grin1+ mice. Additionally, the narrowed stance width of the hind paws in Grin1Rgsc174/Grin1+ mice possibly reflects improved postural adjustments for stability, as indicated in the case of injury recovery after a locomotor training paradigm [44]. These observations indicate that Grin1Rgsc174/Grin1+ mice may not have deficits in neuromuscular strength or motor coordination/learning.

The number of transitions of Grin1Rgsc174/Grin1+ mice decreased in the light/dark transition test in this study but not in the previous study [32]. Decreased social behavior was observed in an open field of the previous study, but the present study failed to detect any impairment of social behaviors in a similar situation, in home cage, or in the Crawley’s three-chamber social approach test. However, the social novelty preference of Grin1Rgsc174/Grin1+ mice increased in the Crawley’s three-chamber test. These discrepancies might be due to differences in the behavioral test methods and the experimental conditions between the previous and present studies, such as the apparatuses, protocols, experimenter, age of subjects, number of cage mates, and experiences of subjects. The previous study used experimentally naïve mice in each behavioral test [32].

Grin1 mutant mouse strains with knockdown alleles or point mutations show unique sets of abnormal behaviors (Table 3). Grin1Rgsc174/Grin1+ mice displayed a few unique behavioral abnormalities that have not been observed in other strains of Grin1 mutant mice. The acoustic startle response markedly decreased in our mice, while it increased in Grin1 hypomorphic mice [24] and in Grin1(D481N)/ Grin1+ mice [31]. Increased locomotor activity was shared with the majority of other Grin1 mutant strains, Grin1(N598Q)/Grin1 mice [64], Grin1(N598R)/Grin1[65] mice, Grin1 hypomorphic mice [22], and Grin1Rgsc174/Grin1+ mice. Grin hypomorphic [22], Grin1(D481N)/Grin1+[30], and our mice consistently displayed increased time spent in open arms in the elevated plus maze or zero maze tests, suggesting decreased anxiety-like behavior in these mice. However, in the light/dark transition test, there was no difference in the number of transitions in Grin1(D481N)/Grin1+[31], and that of Grin1Rgsc174/Grin1+ mice was decreased. In the open-field test, while Grin1(D481N)/Grin1+ mice [31] and Grin hypomorphic [23] showed increased time spent in the center area, there was no increase in Grin1Rgsc174/Grin1+ mice. There were no significant difference between Grin1Rgsc174/Grin1+ and wild-type mice in the PPI test, whereas PPI was decreased in Grin1 hypomorphic mice [24] and Grin1(S897A)/Grin1(S897A) mice [29]. Regarding social behavior, our mice did not show the obvious decreased social behavior observed in Grin1(S897A)/Grin1(S897A) [29] and Grin hypomorphic mice [22, 24]. The unique profile of behavioral abnormalities in each Grin1 mutant strain could be due to differences in the molecular and/or cellular functions of Grin1, e.g., decreased/increased calcium influx, disrupted glycine binding, etc. (Table 3). Alternatively, the behavioral profile may reflect differences in experimental conditions, such as genetic background, age of subjects, apparatuses, and protocols.

Table 3 Mutations in Grin1 cause distinctive behavioral abnormalities
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Human genetic studies have suggested that some subunits of NMDA receptors are associated with psychiatric disorders, such as schizophrenia [15, 17–19, 66], bipolar disorder [20], and ADHD [21]. Grin1Rgsc174/Grin1+ mice showed abnormal behaviors related to these disorders, including increased locomotor activity, severely impaired fear memory, mild deficit in working memory, and abnormal anxiety-like behavior. Psychomotor agitation is a symptom of schizophrenia, and psychostimulants that induce schizophrenic behaviors in healthy individuals increase locomotor activity in rodents [67]. An increase of locomotor activity in Grin1Rgsc174/Grin1+ mice also seems to be a trait related to ADHD. Additionally, MPH administration paradoxically attenuates locomotor hyperactivity in Grin1Rgsc174/Grin1+ mice [31]. Patients with schizophrenia display various forms of memory defects, including impaired working and episodic memory [68, 69]. It is possible that deficits in the fear memory of Grin1Rgsc174/Grin1+ mice represent an aspect of the cognitive impairment of schizophrenia. Although increased anxiety is not a core symptom of schizophrenia, an epidemiological association has been suggested between anxiety and schizophrenia [70, 71]. Abnormal anxiety-like behaviors are found in other animal models of schizophrenia, such as forebrain-specific calcineurin KO [54], Mus musculus microtubule-associated protein 6 (Mtap6 or STOP) KO [72], Shn-2 KO [38], or SNAP-25 KI [37] mice. There were no obvious impairments in social behavior in Grin1Rgsc174/Grin1+ mice or significant differences in PPI between the genotypes. Reduced acoustic startle response was observed in Grin1Rgsc174/Grin1+ mice. This may be caused by deficits in emotional processing, motor function [73, 74], or the sensorimotor system, which can be tested by auditory brainstem response (ABR) [75, 76]. Together, these findings indicate that increased locomotor activity, cognitive dysfunction, and abnormal anxiety in Grin1Rgsc174/Grin1+ mice may recapitulate some aspects of schizophrenia, ADHD, and bipolar disorder, while other aspects of these disorders, such as social withdrawal and deficits in sensorimotor gating [77, 78], are not represented in Grin1Rgsc174/Grin1+ mice. Further studies would be important to clarify the behavioral abnormalities related to schizophrenia or ADHD in specific brain regions. In particular, in the hippocampus, the cognitive dysfunction could be assessed by electrophysiological analyses on CA pyramidal neurons or DG granule cells, biochemical analysis on signaling molecules that are involved in synaptic plasticity, and etc. [35, 38]. In the basal ganglia, the hyperactivity can be analyzed by several methods, such as a histological analysis on dopaminergic neurons and quantification of the dopamine release using microdialysis technique [35, 38, 79].

In our previous studies, the mutant mouse strains, αCaMKII HKO, Shn-2 KO, and SNAP-25 KI mice, exhibited severe impairments in working memory and increased locomotor activity, which are abnormal behaviors related to schizophrenia, and displayed the “immature dentate gyrus (iDG)” phenotype, in which DG granule cells fail to mature [35–38]. In the present study, we assessed whether Grin1Rgsc174/Grin1+ mice demonstrate similar maturation abnormalities in DG granule cells. Mouse strains with iDG show a characteristic marker expression pattern, upregulation of Drd1a, and downregulation of Dsp, Tdo2, and Calb1[35–38]. Two out of four marker genes (downregulation of Calb1 and Tdo2) in Grin1Rgsc174/Grin1+ mice were expressed consistently with this expression pattern, suggesting that Grin1Rgsc174/Grin1+ mice may partially have the iDG phenotype. There is also the possibility that the downregulation of the two genes is caused by the effect(s) of NMDA receptor mutation that are independent of the maturation abnormality of granule cells. Further studies, such as histological and physiological analyses, are needed to confirm the iDG phenotype of Grin1Rgsc174/Grin1+ mice.

Conclusions

Grin1Rgsc174/Grin1+ mice exhibited behavioral abnormalities, including increased locomotor activity, abnormal anxiety-like behavior, a mild deficit in working memory, and severely impaired fear memory. They partially recapitulate the symptoms of ADHD, schizophrenia, and bipolar disorder. Grin1Rgsc174/Grin1+ mice show a unique profile of abnormal behaviors and may represent a subpopulation of patients with these psychiatric disorders.

Methods

Animals and experimental design

Grin1Rgsc174/Grin1+ mice, kindly provided by the RIKEN BioResource Center (Tsukuba, Japan), were backcrossed with C57BL/6J for six generations. Rgsc174 is an identification code for ENU mutant mouse strains established in the RIKEN Genome Science Center (RGSC; Yokohama, Japan). All behavioral tests were carried out with male mice that were at least 10 weeks old at the start of testing (Table 4). Wild-type littermates were used as controls for the experiments. The mice were group housed (2–4 mice per cage) in a room with a 12-hr light/dark cycle (lights on at 7:00 a.m.) with access to food and water ad libitum. The room temperature was kept at 23±2°C. Behavioral testing was performed between 9:00 a.m. and 6:00 p.m. After the tests, all apparatuses were cleaned with diluted sodium hypochlorite solution to prevent a bias due to olfactory cues. Experiments were conducted in the following sequence: light/dark transition, open field, hot plate, elevated plus maze, general health, the neurological screen, social interaction in open field, rotarod, Crawley’s sociability and preference for social novelty, acoustic startle response/prepulse inhibition, Porsolt forced swim, gait analysis, eight-arm radial maze, tail suspension, contextual and cued fear condition, and Social interaction in familiar environment. Each behavioral test was separated from the others by at least 1 day. All animal care, behavioral testing procedure, and animal experiments were approved by the Animal Research Committee, Graduate School of Medicine, Kyoto University (Permit No., MedKyo 09539) and the Institutional Animal Care and Use Committee of Fujita Health University (Permit No., I0741), based on the Law for the Humane Treatment and Management of Animals (2005) and the Standards Relating to the Care and Management of Laboratory Animals and Relief of Pain (2006). Every effort was made to minimize the number of animals used.

Table 4 Comprehensive behavioral test battery of Grin1Rgsc174/Grin1+mice
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Neurological screen

The neurological screen was performed as previously described [35]. The righting, whisker touch, and ear twitch reflexes were evaluated. A number of physical features, including the presence of whiskers or bald hair patches, were also recorded.

Neuromuscular strength

Neuromuscular strength was evaluated with the grip strength test and wire hang test. A grip strength meter (O'Hara & Co., Tokyo, Japan) was used to assess forelimb grip strength. Mice were lifted and held by their tail so that their forepaws could grasp a wire grid. The mice were then gently pulled backward by the tail with their posture parallel to the surface of the table until they released the grid. The peak force applied by the forelimbs of the mouse was recorded in Newtons (N). Each mouse was tested three times, and the greatest value measured was used for the statistical analysis. In the wire hang test, the mouse was placed on a wire mesh that was then inverted and waved gently, so that the mouse gripped the wire. Latency to fall was recorded, with a 60 sec cut-off time.

Hot plate test

The hot plate test was used to evaluate sensitivity to a painful stimulus. Mice were placed on a 55.0 (± 0.3)°C hot plate (Columbus Instruments International, Columbus, OH), and latency to the first hind-paw response was recorded. The hind-paw response was defined as either a foot shake or a paw lick.

Gait analysis (front and hind paws)

The gait of adult mice during spontaneous walk/trot locomotion was analyzed using the DigiGait™ Imaging System (Mouse Specifics Inc, Watertown, MA). In this system, mice walking on a motorized transparent treadmill belt are recorded on video, and the software automatically identifies the stance and swing components of the stride, and calculates stance width, stride length, step angle, and paw angle. Equivalent stride times for the fore and hind paws were composed of a shorter stance and a longer swing time. Peak vertical reaction force increased with decreasing stance time, and the results of the forelimbs were approximately 5% greater than those of the hind paws over the whole stance time range studied.

Light/dark transition test

A light/dark transition test was conducted as previously described [80]. The apparatus used for the light/dark transition test was composed of a cage (21 × 42 × 25 cm) divided into two sections of equal size by a partition with a door (O'Hara & Co.). One chamber was brightly illuminated (390 lux), whereas the other chamber was dark (2 lux). Mice were placed into the dark side and allowed to move freely between the two chambers through an open door for 10 min. The total number of transitions, latency to first enter the light chamber, distance traveled, and time spent in each chamber were recorded by ImageLD software (see 'Data analysis').

Elevated plus maze test

An elevated plus-maze test was conducted as previously described [81]. The elevated plus-maze consisted of two open arms (25 × 5 cm) and two enclosed arms of the same size with 15-cm high transparent walls. The arms and central square were made of white plastic plates and elevated 55 cm above the floor. To minimize the likelihood of animals falling from the apparatus, 3-mm-high Plexiglas walls surrounded the sides of the open arms. Arms of the same type were located opposite from each other. Each mouse was placed in the central square of the maze (5 × 5 cm), facing one of the closed arms. Mouse behavior was recorded during a 10-min test period. The number of entries into an arm and the time spent in the open and enclosed arms were recorded. The percentage of entries into open arms, the time spent in open arm (s), the number of total entries, and the total distance traveled (cm) were analyzed. Data acquisition and analysis were performed automatically using Image EP software (see 'Data analysis').

Open field test

Locomotor activity was measured using an open field test. Each mouse was placed in the corner of the open field apparatus (40 × 40 × 30 cm; Accuscan Instruments, Columbus, OH). The chamber of the test was illuminated at 100 lux. The total distance traveled (in cm), vertical activity (rearing measured by counting the number of photobeam interruptions), and time spent in the center area (20 × 20 cm), and beam-break counts for stereotyped behaviors were recorded. If the animal broke the same beam (or set of beams) three times, then the monitor considers the animal to have exhibited stereotypic activity, including grooming and head bobbing. The stereotypy count is the number of beam breaks that occur during this period of stereotypic activity. The data were collected for 120 min.

Social interaction test in a novel environment

In the social interaction test, two mice of identical genotypes that were previously housed in different cages were placed in a box together (40 × 40 × 30 cm) and allowed to explore freely for 10 min [82]. Because a pair of mice was used as a sample in the test, the number of samples is half. Social behavior was monitored with a CCD camera connected to a Macintosh computer. Analysis was performed automatically using ImageSI software (see 'Data analysis'). The total number of contacts, total duration of active contacts, total contact duration, mean duration per contact, and total distance traveled were measured. The active contact was defined as follows. Images were captured at 3 frames per second, and distance traveled between two successive frames was calculated for each mouse. If the two mice made contact and if the distance traveled by either mouse was longer than 4 cm, the behavior was considered as an “active contact”.

Social interaction test in home cage

Social interaction monitoring in home cage was conducted as previously described [54]. The system comprised the home cage (29 × 18 × 12 cm) and a filtered cage top, separated by a 13-cm high metal stand containing an infrared video camera attached at the top of the stand. Two mice of the same genotype that had been housed separately were placed together in a home cage. Their social behavior was then monitored for 1 week. Output from the video camera was fed into a Macintosh computer. Images from each cage were captured at a rate of one frame per second. Social interaction was measured by counting the number of particles detected in each frame; two particles indicated that the mice were not in contact with each other, while one particle (i.e., the tracking software could not distinguish two separate bodies) indicated contact between the two mice. We also measured locomotor activity during these experiments by quantifying the number of pixels that changed between each pair of successive frames. Analysis was performed automatically using ImageHA software (see 'Data analysis').

Crawley’s sociability and preference for social novelty test

The test for sociability and preference for social novelty is a well-designed method to investigate the complex genetics of social behaviors [83]. The apparatus comprised a rectangular, three-chambered box and a lid containing an infrared video camera (O'Hara & Co.). Each chamber was 20 × 40 × 22 cm and the dividing walls were made from clear Plexiglass, with small square openings (5 × 3 cm) allowing access into each chamber. An unfamiliar C57BL/6J male (stranger 1) that had no prior contact with the subject mouse was placed in one of the side chambers. The placement of stranger 1 in the left or right side chambers was systematically alternated between trials. The stranger mouse was enclosed in a small, circular wire cage, which allowed nose contact between the bars but prevented fighting. The cage was 11-cm high, with a bottom diameter of 9 cm and bars spaced at 0.5 cm intervals. The subject mouse was first placed in the middle chamber and allowed to explore the entire social test box for 10 min. The amount of time spent within a 5-cm distance of the wire cage in each chamber and the time spent in each chamber was measured with the aid of a camera fitted on top of the box. After the first 10 min, each mouse was tested in a second 10-min session to quantify social preference for a new stranger. A second, unfamiliar mouse was placed in the chamber that had been empty during the first 10-min session. This second stranger was enclosed in an identical small wire cage. The test mouse had a choice between the first, already-investigated unfamiliar mouse (stranger 1), and the novel unfamiliar mouse (stranger 2). As described above, the amount of time spent within a 5-cm distance of each wire cage and in each chamber during the second 10-min session was recorded. The stranger mice used in this experiment were 8- to 12-week-old C57BL/6J male mice that were not littermates. Analysis was performed automatically using ImageCSI software (see 'Data analysis').

Contextual and cued fear conditioning test

Each mouse was placed in a test chamber (26 × 34 × 29 cm) inside a sound-attenuated chamber and allowed to explore freely for 2 min. A 60 dB white noise, which served as the conditioned stimulus (CS), was presented for 30 sec, followed by a mild footshock (2 sec, 0.5 mA) serving as the unconditioned stimulus (US). Two more CS-US pairings were presented with a 2-min inter-stimulus interval. Context testing was conducted 24 h after conditioning in the same chamber. Cued testing with altered context was performed after conditioning using a triangular box (35 × 35 × 40 cm) made of white opaque Plexiglas, which was located in a different room. The chamber of the test was illuminated at 100 lux. Data acquisition, control of stimuli (i.e., tones and shocks), and data analysis were performed automatically using ImageFZ software (see 'Data analysis'). Images were captured at 1 frame per second. For each pair of successive frames, the amount of area (pixels) that the mouse moved was measured. When this area was below a certain threshold (i.e., 20 pixels), the behavior was judged as ‘freezing.’ When the amount of area equaled or exceeded the threshold, the behavior was considered as ‘non-freezing.’ The optimal threshold (amount of pixels) to judge freezing was determined by adjusting it to the amount of freezing measured by human observation. ‘Freezing’ that lasted less than the defined time threshold (i.e., 2 sec) was not included in the analysis. The parameters were constant for all mice assessed.

Eight-arm radial maze

The eight-arm radial maze test was performed using fully automated eight-arm radial maze apparatuses [35] (O'Hara & Co.). The floor of the maze was made of white plastic, and the wall (25-cm high) consisted of transparent plastic. Each arm (9 × 40 cm) radiated from an octagonal central starting platform (perimeter 12 × 8 cm) like the spokes of a wheel. Identical food wells (1.4-cm deep and 1.4-cm in diameter) with pellet sensors were placed at the distal end of each arm. The pellet sensors were able to automatically record the pellet intake of the mice. The maze was elevated 75 cm above the floor and placed in a dimly-lighted room with several extra-maze cues. During the experiment, the maze was maintained in a constant orientation. One week before pre-training, the animals were deprived of food until their body weight was reduced to 80% to 85% of their initial levels. In the pre-training, each mouse was placed in the central starting platform and allowed to explore and consume food pellets scattered over the whole maze for a 30-min period (one session per mouse). After completion of the initial pre-training, the mice received another pre-training to retrieve a food pellet from each food well after it had been placed at the distal end of each arm. A trial was finished when the mouse consumed the pellet. This procedure was repeated eight times, using eight different arms, for each mouse. After these pre-training trials, the actual maze acquisition trials were performed. In the spatial working memory task of the eight-arm radial maze, all eight arms were baited with food pellets. Mice were placed on the central platform and allowed to obtain all eight pellets within 25 min. A trial was terminated immediately after all eight pellets were consumed or 25 min had elapsed. An 'arm visit' was defined as travelling more than 5 cm from the central platform. The mice were confined at the central platform for 5 sec after each arm choice (without delay). The animals went through one trial per day (22 trials total). For each trial, arm choice, latency to obtain all pellets, distance traveled, number of different arms chosen within the first eight choices, the number of arm revisited, and omission errors were automatically recorded. The number of different arms chosen during the first eight choices is considered a measure of working memory, and to be relatively independent of locomotor activity levels [84–86]. To increase the difficulty of the task, in the 20th block of trials, a 30-sec delay was provided after four pellets had been taken by confining the mice in the center platform. During the 21st and 22nd blocks of the trial, the delay period was extended to 2 min and 5 min, respectively. A trial was terminated immediately after all of the pellets were consumed or 25 min had elapsed. After each trial, the maze was cleaned with water. The locations of the maze arms were randomly relocated after each session to prevent animals from using intra-maze cues. Data acquisition, control of guillotine doors, and data analysis were performed by ImageRM software (see 'Data analysis').

Startle response prepulse inhibition tests

A startle reflex measurement system was used (O'Hara & Co.) to measure the startle response and prepulse inhibition. A test session began by placing a mouse in a plastic cylinder where it was left undisturbed for 10 min. White noise (40 msec) was used as the startle stimulus for all trial types. The startle response was recorded for 140 msec (measuring the response every 1 msec) starting from the onset of the prepulse stimulus. The background noise level in each chamber was 70 dB. The peak startle amplitude recorded during the 140-msec sampling window was used as the dependent variable. A test session consisted of six trial types (i.e., two types for startle stimulus only trials, and four types for prepulse inhibition trials). The intensity of the startle stimulus was 110 or 120 dB. The prepulse sound was presented 100 msec before the startle stimulus, and its intensity was 74 or 78 dB. Four combinations of prepulse and startle stimuli were used (74–110, 78–110, 74–120, and 78–120). Six blocks of the six trial types were presented in pseudorandom order such that each trial type was presented once within a block. The average inter-trial interval was 15 sec (range: 10–20 sec).

Porsolt forced swim test

The Porsolt forced swim test apparatus consisted of four Plexiglass cylinders (20-cm high × 10-cm diameter). A nontransparent panel separated the cylinders to prevent the mice from seeing each other (O'Hara & Co.). The cylinders were filled with water (23°C) up to a height of 7.5 cm. Mice were placed into the cylinders, and the immobility and distance traveled were recorded over a 10-min test period. Images were captured at one frame per second. For each pair of successive frames, the amount of area (pixels) that the mouse moved in was measured. When the amount of area was below a certain threshold, mouse behavior was judged as “immobile.” When the amount of area equaled or exceeded the threshold, the mouse was considered as “moving.” The optimal threshold used for judging was determined through adjustments it to the amount of immobility measured by human observation. Immobility lasting for less than 2 sec was not included in the analysis. Retention tests were administered 24 h after training. Data acquisition and analysis were performed automatically using ImageTS software (see 'Data analysis').

Rotarod test

Motor coordination and balance were tested with the rotarod test. The rotarod test, using an accelerating rotarod (UGO Basile North America Inc., Collegeville, PA), was performed by placing mice on rotating drums (3-cm diameter) and measuring the time each animal was able to maintain its balance on the rod. The speed of the rotarod accelerated from 4 to 40 rpm over a 5-min period. The animals went through three trials per day on two consecutive days. The trials were separated by more than 1-hr intertrial intervals.

Quantitative RT-PCR

Quantitative RT-PCR analysis was conducted as previously described [35]. Total RNA was isolated from the hippocampi of 27- to 29-wk-old Grin1Rgsc174/Grin1+ mice and wild-type mice. First-strand cDNA was synthesized from 1 μg of DNase I-treated total RNA using the Superscript® VILO™ cDNA synthesis kit (Life Technologies, Grand Island, NY). The expression of related genes was quantified using SYBR GreenER qPCR SuperMix for ABI PRISM (Life Technologies) following the instructions of the manufacturer. Quantitative PCR was performed using ABI PRISM7700 (Life Technologies) with the following conditions: 2 min at 50°C and 10 min at 95°C, followed by 40 cycles of 15 sec at 94°C and 1 min at 60°C. β-actin was amplified from all samples to normalize expression. The following primer sequences were obtained from the Primer Bank [87–89] (http://pga.mgh.harvard.edu/primerbank/index.html): calbindin-28K (56–185); desmoplakin (7–113); tryptophan 2,3-dioxygenase (1–105); Drd1a (133–251); and β-actin (851–962). The Ct values used were the mean values of triplicates.

Data analysis

The applications used for the behavioral studies (ImageLD, ImageSI, ImageTS, ImageCSI, ImageRM, ImageFZ) were developed by Dr. Tsuyoshi Miyakawa (available through O’Hara & Co.) based on the NIH Image program (NIH, Bethesda, MD, available at http://rsb.info.nih.gov/nih-image/) and ImageJ software (Imagejdev.Org, available at http://imagejdev.org/). Statistical analysis was conducted using StatView software (SAS Institute, Cary, NC). Data were analyzed by one-way analysis of variance (ANOVA), two-way repeated measures ANOVA, analysis of covariance (ANCOVA), the paired t-test, or Pearson’s correlation coefficient. Values in graphs are expressed as the mean ± SEM.

Availability of supporting data

Dataset, such as experimental date, age, raw data, and summary data (mean ± SEM), of the behavioral tests are available in the mouse phenotype database repository, http://www.mouse-phenotype.org/.

References

  1. 1.

    Cull-Candy S, Brickley S, Farrant M: NMDA receptor subunits: diversity, development and disease. Curr Opin Neurobiol. 2001, 11: 327-335. 10.1016/S0959-4388(00)00215-4.

  2. 2.

    Masu M, Nakajima Y, Moriyoshi K, Ishii T, Akazawa C, Nakanashi S: Molecular characterization of NMDA and metabotropic glutamate receptors. Ann N Y Acad Sci. 1993, 707: 153-164. 10.1111/j.1749-6632.1993.tb38050.x.

  3. 3.

    Sucher NJ, Awobuluyi M, Choi Y-B, Lipton SA: NMDA receptors: from genes to channels. Trends Pharmacol Sci. 1996, 17: 348-355.

  4. 4.

    Tsien JZ, Huerta PT, Tonegawa S: The essential role of hippocampal CA1 NMDA receptor–dependent synaptic plasticity in spatial memory. Cell. 1996, 87: 1327-1338. 10.1016/S0092-8674(00)81827-9.

  5. 5.

    Morris RG: Synaptic plasticity and learning: selective impairment of learning rats and blockade of long-term potentiation in vivo by the N-methyl-D- aspartate receptor antagonist AP5. J Neurosci. 1989, 9: 3040-3057.

  6. 6.

    Sheng M, Cummings J, Roldan LA, Jan YN, Jan LY: Changing subunit composition of heteromeric NMDA receptors during development of rat cortex. Nature. 1994, 368: 144-147. 10.1038/368144a0. Published online: 10 March 1994

  7. 7.

    Bliss TVP, Collingridge GL: A synaptic model of memory: long-term potentiation in the hippocampus. Nature. 1993, 361: 31-39. 10.1038/361031a0. Published online: 07 January 1993

  8. 8.

    Dingledine R, Borges K, Bowie D, Traynelis SF: The glutamate receptor ion channels. Pharmacol Rev. 1999, 51: 7-62.

  9. 9.

    Monyer H, Burnashev N, Laurie DJ, Sakmann B, Seeburg PH: Developmental and regional expression in the rat brain and functional properties of four NMDA receptors. Neuron. 1994, 12: 529-540. 10.1016/0896-6273(94)90210-0.

  10. 10.

    Goff DC: The emerging role of glutamate in the pathophysiology and treatment of schizophrenia. Am J Psychiatry. 2001, 158: 1367-1377. 10.1176/appi.ajp.158.9.1367.

  11. 11.

    Coyle J: Glutamate and schizophrenia: beyond the dopamine hypothesis. Cell Mol Neurobiol. 2006, 26: 363-382. 10.1007/s10571-006-9062-8.

  12. 12.

    Kantrowitz JT, Javitt DC: N-methyl-D-aspartate (NMDA) receptor dysfunction or dysregulation: the final common pathway on the road to schizophrenia?. Brain Res Bull. 2010, 83: 108-121. 10.1016/j.brainresbull.2010.04.006.

  13. 13.

    Javitt DC: Glutamatergic theories of schizophrenia. Isr J Psychiatry Relat Sci. 2010, 47: 4-16.

  14. 14.

    Malhotra AK, Pinals DA, Weingartner H, Sirocco K, Missar CD, Pickar D, Breier A: NMDA receptor function and human cognition: the effects of ketamine in healthy volunteers. Neuropsychopharmacology. 1996, 14: 301-307. 10.1016/0893-133X(95)00137-3.

  15. 15.

    Zhao X, Li H, Shi Y, Tang R, Chen W, Liu J, Feng G, Shi J, Yan L, Liu H, He L: Significant association between the genetic variations in the 5′ end of the N-Methyl-D-Aspartate receptor subunit gene GRIN1 and schizophrenia. Biol Psychiatry. 2006, 59: 747-753. 10.1016/j.biopsych.2005.10.023.

  16. 16.

    Georgi A, Jamra RA, Klein K, Villela AW, Schumacher J, Becker T, Paul T, Schmael C, Höfels S, Klopp N, Illig T, Propping P, Cichon S, Nöthen MM, Schulze TG, Rietschel M: Possible association between genetic variants at the GRIN1 gene and schizophrenia with lifetime history of depressive symptoms in a German sample. Psychiatr Genet. 2007, 17: 308-310. 10.1097/YPG.0b013e3280c1e5fb.

  17. 17.

    Galehdari H: Association between the G1001C polymorphism in the GRIN1 gene promoter and schizophrenia in the Iranian population. J Mol Neurosci. 2009, 38: 178-181. 10.1007/s12031-008-9148-5.

  18. 18.

    Demontis D, Nyegaard M, Buttenschøn HN, Hedemand A, Pedersen CB, Grove J, Flint TJ, Nordentoft M, Werge T, Hougaard DM, Sørensen KM, Yolken RH, Mors O, Børglum AD, Mortensen PB: Association of GRIN1 and GRIN2A-D With schizophrenia and genetic interaction with maternal herpes simplex virus-2 infection affecting disease risk. Am J Med Genet B. 2011, 156: 913-922. 10.1002/ajmg.b.31234.

  19. 19.

    Makino C, Shibata H, Ninomiya H, Tashiro N, Fukumaki Y: Identification of single-nucleotide polymorphisms in the human N-methyl-D-aspartate receptor subunit NR2D gene, GRIN2D, and association study with schizophrenia. Psychiatr Genet. 2005, 15: 215-221. 10.1097/00041444-200509000-00014.

  20. 20.

    Mundo E, Tharmalingham S, Neves-Pereira M, Dalton EJ, Macciardi F, Parikh SV, Bolonna A, Kerwin RW, Arranz MJ, Makoff AJ, Kennedy JL: Evidence that the N-methyl-D-aspartate subunit 1 receptor gene (GRIN1) confers susceptibility to bipolar disorder. Mol Psychiatr. 2003, 8: 241-245. 10.1038/sj.mp.4001218.

  21. 21.

    Dorval KM, Wigg KG, Crosbie J, Tannock R, Kennedy JL, Ickowicz A, Pathare T, Malone M, Schachar R, Barr CL, Dorval KM, Wigg KG, Crosbie J, Tannock R, Kennedy JL, Ickowicz A, Pathare T, Malone M, Schachar R, Barr CL: Association of the glutamate receptor subunit gene GRIN2B with attention‒deficit/hyperactivity disorder, Association of the glutamate receptor subunit gene GRIN2B with attention‒deficit/hyperactivity disorder. Gene Brain Behav. 2007, 6: 444-452. 10.1111/j.1601-183X.2006.00273.x.

  22. 22.

    Mohn AR, Gainetdinov RR, Caron MG, Koller BH: Mice with reduced NMDA receptor expression display behaviors related to schizophrenia. Cell. 1999, 98: 427-436. 10.1016/S0092-8674(00)81972-8.

  23. 23.

    Halene TB, Ehrlichman RS, Liang Y, Christian EP, Jonak GJ, Gur TL, Blendy JA, Dow HC, Brodkin ES, Schneider F, Gur RC, Siegel SJ: Assessment of NMDA receptor NR1 subunit hypofunction in mice as a model for schizophrenia. Genes Brain Behav. 2009, 8: 661-675. 10.1111/j.1601-183X.2009.00504.x.

  24. 24.

    Duncan GE, Moy SS, Perez A, Eddy DM, Zinzow WM, Lieberman JA, Snouwaert JN, Koller BH: Deficits in sensorimotor gating and tests of social behavior in a genetic model of reduced NMDA receptor function. Behav Brain Res. 2004, 153: 507-519. 10.1016/j.bbr.2004.01.008.

  25. 25.

    Powell CM, Miyakawa T: Schizophrenia-relevant behavioral testing in rodent models: a uniquely human disorder?. Biol Psychiatr. 2006, 59: 1198-1207. 10.1016/j.biopsych.2006.05.008.

  26. 26.

    Ballard TM, Pauly-Evers M, Higgins GA, Ouagazzal A-M, Mutel V, Borroni E, Kemp JA, Bluethmann H, Kew JNC: Severe impairment of NMDA receptor function in mice carrying targeted point mutations in the glycine binding site results in drug-resistant nonhabituating hyperactivity. J Neurosci. 2002, 22: 6713-6723.

  27. 27.

    Labrie V, Clapcote SJ, Roder JC: Mutant mice with reduced NMDA-NR1 glycine affinity or lack of d-amino acid oxidase function exhibit altered anxiety-like behaviors. Pharmacol Biochem Behav. 2009, 91: 610-620. 10.1016/j.pbb.2008.09.016.

  28. 28.

    Vaidya CJ, Austin G, Kirkorian G, Ridlehuber HW, Desmond JE, Glover GH, Gabrieli JDE: Selective effects of methylphenidate in attention deficit hyperactivity disorder: A functional magnetic resonance study. PNAS. 1998, 95: 14494-14499. 10.1073/pnas.95.24.14494.

  29. 29.

    Li B, Devidze N, Barengolts D, Prostak N, Sphicas E, Apicella AJ, Malinow R, Emamian ES: NMDA receptor phosphorylation at a site affected in schizophrenia controls synaptic and behavioral plasticity. J Neurosci. 2009, 29: 11965-11972. 10.1523/JNEUROSCI.2109-09.2009.

  30. 30.

    Labrie V, Wang W, Barger SW, Baker GB, Roder JC: Genetic loss of D-amino acid oxidase activity reverses schizophrenia-like phenotypes in mice. Genes Brain Behav. 2010, 9: 11-25. 10.1111/j.1601-183X.2009.00529.x.

  31. 31.

    Kew JNC, Koester A, Moreau J-L, Jenck F, Ouagazzal A-M, Mutel V, Richards JG, Trube G, Fischer G, Montkowski A, Hundt W, Reinscheid RK, Pauly-Evers M, Kemp JA, Bluethmann H: Functional consequences of reduction in NMDA receptor glycine affinity in mice carrying targeted point mutations in the glycine binding site. J Neurosci. 2000, 20: 4037-4049.

  32. 32.

    Furuse T, Wada Y, Hattori K, Yamada I, Kushida T, Shibukawa Y, Masuya H, Kaneda H, Miura I, Seno N, Kanda T, Hirose R, Toki S, Nakanishi K, Kobayashi K, Sezutsu H, Gondo Y, Noda T, Yuasa S, Wakana S: Phenotypic characterization of a new Grin1 mutant mouse generated by ENU mutagenesis. Eur J Neurosci. 2010, 31: 1281-1291. 10.1111/j.1460-9568.2010.07164.x.

  33. 33.

    Solanto MV: Dopamine dysfunction in AD/HD: integrating clinical and basic neuroscience research. Behav Brain Res. 2002, 130: 65-71. 10.1016/S0166-4328(01)00431-4.

  34. 34.

    Castellanos FX, Tannock R: Neuroscience of attention-deficit/hyperactivity disorder: the search for endophenotypes. Nat Rev Neurosci. 2002, 3: 617-628.

  35. 35.

    Yamasaki N, Maekawa M, Kobayashi K, Kajii Y, Maeda J, Soma M, Takao K, Tanda K, Ohira K, Toyama K, Kanzaki K, Fukunaga K, Sudo Y, Ichinose H, Ikeda M, Iwata N, Ozaki N, Suzuki H, Higuchi M, Suhara T, Yuasa S, Miyakawa T: Alpha-CaMKII deficiency causes immature dentate gyrus, a novel candidate endophenotype of psychiatric disorders. Mol Brain. 2008, 1: 6-10.1186/1756-6606-1-6.

  36. 36.

    Hagihara H, Takao K, Walton N, Matsumoto M, Miyakawa T: Immature dentate gyrus: An endophenotype of neuropsychiatric disorders. Neural Plasticity. in press

  37. 37.

    Ohira K, Kobayashi K, Toyama K, Nakamura HK, Shoji H, Takao K, Takeuchi R, Yamaguchi S, Kataoka M, Otsuka S, Takahashi M, Miyakawa T: Synaptosomal-associated protein 25 mutation induces immaturity of the dentate granule cells of adult mice. Mol Brain. 2013, 6: 12-10.1186/1756-6606-6-12.

  38. 38.

    Takao K, Kobayashi K, Hagihara H, Ohira K, Shoji H, Hattori S, Koshimizu H, Umemori J, Toyama K, Nakamura HK, Kuroiwa M, Maeda J, Atsuzawa K, Esaki K, Yamaguchi S, Furuya S, Takagi T, Walton NM, Hayashi N, Suzuki H, Higuchi M, Usuda N, Suhara T, Nishi A, Matsumoto M, Ishii S, Miyakawa T: Deficiency of Schnurri-2, an MHC Enhancer Binding Protein, Induces Mild Chronic Inflammation in the Brain and Confers Molecular, Neuronal, and Behavioral Phenotypes Related to Schizophrenia. Neuropsychopharmacology. 2013, 10.1038/npp.2013.38. Epub ahead of print

  39. 39.

    Hattori S, Takao K, Tanda K, Toyama K, Shintani N, Hashimoto H, Miyakawa T: Comprehensive behavioral analysis of pituitary adenylate cyclase-activating polypeptide (PACAP) knockout mice. Front Behav Neurosci. 2012, 6: 58-

  40. 40.

    Walton NM, Zhou Y, Kogan JH, Shin R, Webster M, Gross AK, Heusner CL, Chen Q, Miyake S, Tajinda K, Tamura K, Miyakawa T, Matsumoto M: Detection of an immature dentate gyrus feature in human schizophrenia/bipolar patients. Translational Psychiatry. 2012, 2: e135-10.1038/tp.2012.56.

  41. 41.

    Leonard AS, Bayer K-U, Merrill MA, Lim IA, Shea MA, Schulman H, Hell JW: Regulation of calcium/calmodulin-dependent protein Kinase II docking toN-Methyl-d-aspartate receptors by calcium/calmodulin and α-actinin. J Biol Chem. 2002, 277: 48441-48448. 10.1074/jbc.M205164200.

  42. 42.

    Holmes A, Yang RJ, Murphy DL, Crawley JN: Evaluation of antidepressant-related behavioral responses in mice lacking the serotonin transporter. Neuropsychopharmacology. 2001, 27: 914-923.

  43. 43.

    McFadyen MP, Kusek G, Bolivar VJ, Flaherty L: Differences among eight inbred strains of mice in motor ability and motor learning on a rotorod. Genes Brain Behav. 2003, 2: 214-219. 10.1034/j.1601-183X.2003.00028.x.

  44. 44.

    Mulligan SJ, Knapp E, Thompson B, Jung R: A method for assessing balance control in rodents. Biomed Sci Instrum. 2002, 38: 77-82.

  45. 45.

    LeDoux J: The emotional brain, fear, and the amygdala. Cell Mol Neurobiol. 2003, 23: 727-738. 10.1023/A:1025048802629.

  46. 46.

    Walker DL, Davis M: Are fear memories made and maintained by the same NMDA receptor-dependent mechanisms?. Neuron. 2004, 41: 680-682. 10.1016/S0896-6273(04)00114-X.

  47. 47.

    Maren S, Quirk GJ: Neuronal signalling of fear memory. Nat Rev Neurosci. 2004, 5: 844-852. 10.1038/nrn1535.

  48. 48.

    Fendt M: Injections of the NMDA receptor antagonist aminophosphonopentanoic acid into the lateral nucleus of the amygdala block the expression of fear-potentiated startle and freezing. J Neurosci. 2001, 21: 4111-4115.

  49. 49.

    Kim JJ, DeCola JP, Landeira-Fernandez J, Fanselow MS: N-methyl-D-aspartate receptor antagonist APV blocks acquisition but not expression of fear conditioning. Behav Neurosci. 1991, 105: 126-133.

  50. 50.

    Gewirtz JC, Davis M: Second-order fear conditioning prevented by blocking NMDA receptors in amygdala. Nature. 1997, 388: 471-474. 10.1038/41325.

  51. 51.

    Shimizu E, Tang YP, Rampon C, Tsien JZ: NMDA receptor-dependent synaptic reinforcement as a crucial process for memory consolidation. Science. 2000, 290: 1170-1174. 10.1126/science.290.5494.1170.

  52. 52.

    Cui Z, Wang H, Tan Y, Zaia KA, Zhang S, Tsien JZ: Inducible and reversible NR1 knockout reveals crucial role of the NMDA receptor in preserving remote memories in the brain. Neuron. 2004, 41: 781-793. 10.1016/S0896-6273(04)00072-8.

  53. 53.

    Bourin M, Hascoët M: The mouse light/dark box test. Eur J Pharmacol. 2003, 463: 55-65. 10.1016/S0014-2999(03)01274-3.

  54. 54.

    Miyakawa T, Leiter LM, Gerber DJ, Gainetdinov RR, Sotnikova TD, Zeng H, Caron MG, Tonegawa S: Conditional calcineurin knockout mice exhibit multiple abnormal behaviors related to schizophrenia. Proc Natl Acad Sci. 2003, 100: 8987-8992. 10.1073/pnas.1432926100.

  55. 55.

    Holmes A, Parmigiani S, Ferrari P, Palanza P, Rodgers R: Behavioral profile of wild mice in the elevated plus-maze test for anxiety. Physiol Behav. 2000, 71: 509-516. 10.1016/S0031-9384(00)00373-5.

  56. 56.

    Keizo T, Tanda K, Toyama K, Shintani N, Hashimoto H, Miyakawa T: Comprehensive behavioral analysis of pituitary adenylate cyclase-activating polypeptide (PACAP) knockout mice. Front Behav Neurosci. 2012, 6: 58-

  57. 57.

    De Kloet ER, Vreugdenhil E, Oitzl MS, Joëls M: Brain corticosteroid receptor balance in health and disease. Endocr Rev. 1998, 19: 269-301. 10.1210/er.19.3.269.

  58. 58.

    Herman JP, Figueiredo H, Mueller NK, Ulrich-Lai Y, Ostrander MM, Choi DC, Cullinan WE: Central mechanisms of stress integration: hierarchical circuitry controlling hypothalamo–pituitary–adrenocortical responsiveness. Front Neuroendocrinol. 2003, 24: 151-180. 10.1016/j.yfrne.2003.07.001.

  59. 59.

    Silveira MCL, Sandner G, Graeff FG: Induction of Fos immunoreactivity in the brain by exposure to the elevated plus-maze. Behav Brain Res. 1993, 56: 115-118. 10.1016/0166-4328(93)90028-O.

  60. 60.

    Duncan GE, Knapp DJ, Breese GR: Neuroanatomical characterization of Fos induction in rat behavioral models of anxiety. Brain Res. 1996, 713: 79-91. 10.1016/0006-8993(95)01486-1.

  61. 61.

    Holmes A, Rodgers RJ: Responses of Swiss–Webster mice to repeated plus-maze experience: further evidence for a qualitative shift in emotional state?. Pharmacol Biochem Behav. 1998, 60: 473-488. 10.1016/S0091-3057(98)00008-2.

  62. 62.

    McIlwain KL, Merriweather MY, Yuva-Paylor LA, Paylor R: The use of behavioral test batteries: effects of training history. Physiol Behav. 2001, 73: 705-717. 10.1016/S0031-9384(01)00528-5.

  63. 63.

    Boyce-Rustay JM, Holmes A: Ethanol-related behaviors in mice lacking the NMDA receptor NR2A subunit. Psychopharmacology. 2006, 187: 455-466. 10.1007/s00213-006-0448-6.

  64. 64.

    Single FN, Rozov A, Burnashev N, Zimmermann F, Hanley DF, Forrest D, Curran T, Jensen V, Hvalby Ø, Sprengel R, Seeburg PH: Dysfunctions in mice by NMDA receptor point mutations NR1(N598Q) and NR1(N598R). J Neurosci. 2000, 20: 2558-2566.

  65. 65.

    Rudhard Y, Kneussel M, Nassar MA, Rast GF, Annala AJ, Chen PE, Tigaret CM, Dean I, Roes J, Gibb AJ, Hunt SP, Schoepfer R: Absence of Whisker-related pattern formation in mice with NMDA receptors lacking coincidence detection properties and calcium signaling. J Neurosci. 2003, 23: 2323-2332.

  66. 66.

    Qin S, Zhao X, Pan Y, Liu J, Feng G, Fu J, Bao J, Zhang Z, He L: An association study of the N-methyl-D-aspartate receptor NR1 subunit gene (GRIN1) and NR2B subunit gene (GRIN2B) in schizophrenia with universal DNA microarray. Eur J Hum Genet. 2005, 13: 807-814. 10.1038/sj.ejhg.5201418.

  67. 67.

    Tsai G, Coyle JT: Glutamatergic mechanisms in schizophrenia. Annu Rev Pharmacol Toxicol. 2002, 42: 165-179. 10.1146/annurev.pharmtox.42.082701.160735.

  68. 68.

    Goldman-Rakic PS: Working memory dysfunction in schizophrenia. J Neuropsychiatry Clin Neurosci. 1994, 6: 348-357.

  69. 69.

    Elvevåg B, Goldberg TE: Cognitive impairment in schizophrenia is the core of the disorder. Crit Rev Neurobiol. 2000, 14: 1-21.

  70. 70.

    Hofmann SG: Relationship between panic and schizophrenia. Depress Anxiety. 1999, 9: 101-106. 10.1002/(SICI)1520-6394(1999)9:3<101::AID-DA1>3.0.CO;2-1.

  71. 71.

    Turnbull G, Bebbington P: Anxiety and the schizophrenic process: clinical and epidemiological evidence. Soc Psychiatry Psychiatr Epidemiol. 2001, 36: 235-243. 10.1007/s001270170054.

  72. 72.

    Andrieux A, Salin PA, Vernet M, Kujala P, Baratier J, Gory-Fauré S, Bosc C, Pointu H, Proietto D, Schweitzer A, Denarier E, Klumperman J, Job D: The suppression of brain cold-stable microtubules in mice induces synaptic defects associated with neuroleptic-sensitive behavioral disorders. Genes Dev. 2002, 16: 2350-2364. 10.1101/gad.223302.

  73. 73.

    Davis M: The role of the amygdala in fear and anxiety. Annu Rev Neurosci. 1992, 15: 353-375. 10.1146/annurev.ne.15.030192.002033.

  74. 74.

    Falls WA, Carlson S, Turner JG, Willott JF: Fear-potentiated startle in two strains of inbred mice. Behav Neurosci. 1997, 111: 855-861.

  75. 75.

    Handbook of clinical audiology (5th Ed.) KATZ Jack: Librairie Lavoisier.http://www.lavoisier.fr/livre/notice.asp?ouvrage=1489029,

  76. 76.

    Zheng QY, Johnson KR, Erway LC: Assessment of hearing in 80 inbred strains of mice by ABR threshold analyses. Hear Res. 1999, 130: 94-107. 10.1016/S0378-5955(99)00003-9.

  77. 77.

    Castellanos FX, Fine EJ, Kaysen D, Marsh WL, Rapoport JL, Hallett M: Sensorimotor gating in boys with Tourette’s syndrome and ADHD: Preliminary results. Biol Psychiatry. 1996, 39: 33-41. 10.1016/0006-3223(95)00101-8.

  78. 78.

    Van Os J, Kapur S: Schizophrenia. Lancet. 2009, 374: 635-645. 10.1016/S0140-6736(09)60995-8.

  79. 79.

    Gainetdinov RR, Caron MG: Monoamine transporters: from genes to behavior. Annu Rev Pharmacol Toxicol. 2003, 43: 261-284. 10.1146/annurev.pharmtox.43.050802.112309.

  80. 80.

    Takao K, Miyakawa T: Light/dark transition test for mice. J Vis Exp. 2006, 1: 104-

  81. 81.

    Komada M, Takao K, Miyakawa T: Elevated plus maze for mice. J Vis Exp. 2008, 22: e1088-

  82. 82.

    Tanda K, Nishi A, Matsuo N, Nakanishi K, Yamasaki N, Sugimoto T, Toyama K, Takao K, Miyakawa T: Abnormal social behavior, hyperactivity, impaired remote spatial memory, and increased D1-mediated dopaminergic signaling in neuronal nitric oxide synthase knockout mice. Mol Brain. 2009, 2: 19-10.1186/1756-6606-2-19.

  83. 83.

    Moy SS, Nadler JJ, Perez A, Barbaro RP, Johns JM, Magnuson TR, Piven J, Crawley JN: Sociability and preference for social novelty in five inbred strains: an approach to assess autistic-like behavior in mice. Genes Brain Behav. 2004, 3: 287-302. 10.1111/j.1601-1848.2004.00076.x.

  84. 84.

    Miyakawa T, Yamada M, Duttaroy A, Wess J: Hyperactivity and Intact Hippocampus-dependent learning in mice lacking the M1 muscarinic acetylcholine receptor. J Neurosci. 2001, 21: 5239-5250.

  85. 85.

    Olton DS, Papas BC: Spatial memory and hippocampal function. Neuropsychologia. 1979, 17: 669-682. 10.1016/0028-3932(79)90042-3.

  86. 86.

    Van der Staay FJ: The study of behavioral dysfunctions : an evaluation of selected animal models. 2000, University of Groningen,http://bibliotheek.eldoc.ub.rug.nl/root/UB/2000/f.j.van.der.staay/,

  87. 87.

    Wang X, Seed B: A PCR primer bank for quantitative gene expression analysis. Nucl Acids Res. 2003, 31: e154-e154. 10.1093/nar/gng154.

  88. 88.

    Spandidos A, Wang X, Wang H, Dragnev S, Thurber T, Seed B: A comprehensive collection of experimentally validated primers for Polymerase Chain Reaction quantitation of murine transcript abundance. BMC Genomics. 2008, 9: 633-10.1186/1471-2164-9-633.

  89. 89.

    Spandidos A, Wang X, Wang H, Seed B: PrimerBank: a resource of human and mouse PCR primer pairs for gene expression detection and quantification. Nucleic Acids Res. 2009, 38: D792-D799.

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Acknowledgments

We thank all members of the division of Systems Medical Science at Fujita Health University for rearing the mice and supporting this study. This research was supported by Grant-in-Aid for Scientific Research on Priority Areas (200163013), Grant-in-Aid for Exploratory Research (19653081), Grant-in-Aid for Scientific Research (B) (21300121), Grant-in-Aid for Scientific Research on Innovative Areas (Comprehensive Brain Science Network) from the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan, a grant from the Neuroinformatics Japan Center (NIJC), and grants from Core Research for Evolutional Science and Technology (CREST) and the Institute for Bioinformatics Research and Development (BIRD) of the Japan Science and Technology Agency (JST).

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Affiliations

  1. Division of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, 1-98 Dengakugakubo Kutsukake-cho, Toyoake, 470-1192, Japan
    • Juzoh Umemori
    • , Hisatsugu Koshimizu
    • , Satoko Hattori
    •  & Tsuyoshi Miyakawa
  2. Japan Science and Technology Agency (JST), Core Research for Evolutional Science and Technology (CREST), Kawaguchi, Japan
    • Juzoh Umemori
    • , Keizo Takao
    • , Hisatsugu Koshimizu
    • , Satoko Hattori
    •  & Tsuyoshi Miyakawa
  3. Section of Behavior Analysis, Center for Genetic Analysis of Behavior, National Institute for Physiological Sciences, Okazaki, Japan
    • Keizo Takao
    •  & Tsuyoshi Miyakawa
  4. Genetic Engineering and Functional Genomics Group, Frontier Technology Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
    • Keizo Takao
    •  & Tsuyoshi Miyakawa
  5. Technology and Development Team for Mouse Phenotype Analysis, Japan Mouse Clinic, RIKEN BioResource Center, Tsukuba, Japan
    • Tamio Furuse
    •  & Shigeharu Wakana
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Correspondence to Tsuyoshi Miyakawa.

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The authors declare that they have no competing interests.

Authors’ contributions

TM was responsible for the original conception and overall design of the research, while T F, Y W, S W, and K Takao established the congenic mice. K Takao, K Toyama, and TM performed the behavioral analysis of the mice. JU conducted quantitative RT-PCR. JU, HK, and TM wrote the manuscript. All authors read and approved the final manuscript.

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Umemori, J., Takao, K., Koshimizu, H. et al. ENU-mutagenesis mice with a non-synonymous mutation in Grin1 exhibit abnormal anxiety-like behaviors, impaired fear memory, and decreased acoustic startle response. BMC Res Notes 6, 203 (2013). https://doi.org/10.1186/1756-0500-6-203

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Keywords

  • NMDA receptor
  • Grin1
  • ENU-mutagenesis
  • Comprehensive behavioral test battery
  • Psychiatric disorder
  • ADHD
  • Schizophrenia

BMC Research Notes

ISSN: 1756-0500

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