Skip to main content
Download PDF
Download ePub

Complete or partial reduction of the Met receptor tyrosine kinase in distinct circuits differentially impacts mouse behavior

Journal of Neurodevelopmental Disorders volume 7, Article number: 35 (2015) Cite this article

Abstract

Background

Our laboratory discovered that the gene encoding the receptor tyrosine kinase, MET, contributes to autism risk. Expression of MET is reduced in human postmortem temporal lobe in autism and Rett Syndrome. Subsequent studies revealed a role for MET in human and mouse functional and structural cortical connectivity. To further understand the contribution of Met to brain development and its impact on behavior, we generated two conditional mouse lines in which Met is deleted from select populations of central nervous system neurons. Mice were then tested to determine the consequences of disrupting Met expression.

Methods

Mating of Emx1 cre and Met fx/fx mice eliminates receptor signaling from all cells arising from the dorsal pallium. Met fx/fx and Nestin cre crosses result in receptor signaling elimination from all neural cells. Behavioral tests were performed to assess cognitive, emotional, and social impairments that are observed in multiple neurodevelopmental disorders and that are in part subserved by circuits that express Met.

Results

Met fx/fx/Emx1 cre null mice displayed significant hypoactivity in the activity chamber and in the T-maze despite superior performance on the rotarod. Additionally, these animals showed a deficit in spontaneous alternation. Surprisingly, Met fx/fx; fx/+/Nestin cre null and heterozygous mice exhibited deficits in contextual fear conditioning, and Met fx/+/Nestin cre heterozygous mice spent less time in the closed arms of the elevated plus maze.

Conclusions

These data suggest a complex contribution of Met in the development of circuits mediating social, emotional, and cognitive behavior. The impact of disrupting developmental Met expression is dependent upon circuit-specific deletion patterns and levels of receptor activity.

Background

Met encodes a tyrosine receptor kinase whose only known ligand is hepatocyte growth factor [1, 2]. MET signals through canonical ERK and PI3 kinase pathways, regulating neuronal development, including peripheral axon guidance, neuronal growth, and synapse development [3–8]. MET is expressed in excitatory projection neurons in a spatially and temporally limited pattern in the developing primate and rodent neocortex, hippocampus, and select amygdala and septal nuclei [7, 9–13]. There is conserved enrichment in growing axons and at developing synapses [9, 10], with expression decreasing dramatically during the period of pruning in primate and mouse. The specific patterns of neocortical expression, however, differ substantially between primate and rodent [10, 13, 14], suggesting possible differences in the behavioral impact of disrupted MET expression between species. A genetic reduction or elimination of Met increases local intralaminar excitatory drive in the mouse cerebral cortex [15] and disrupts the timing of excitatory synapse maturation in CA1 neurons in the hippocampus [8].

Several lines of evidence have implicated MET in impacting human brain function and growth. Genetic studies have demonstrated that a 5′ promoter polymorphism is associated with increased risk for autism spectrum disorder (ASD) [16–19]. This risk variant is functional, reducing MET transcription in both typical and ASD subjects [20–22]. In addition, a recent study identified a family pedigree with a rare, causal heterozygous mutation in MET that was associated with ASD or social-communication diagnoses in the siblings [23]. In multiplex families, subjects with ASD and the MET promoter risk variant have more severe social and communication symptoms [24]. Neuroimaging studies demonstrated that the same risk variant is associated with altered functional and structural connectivity in all scanned individuals but with more impacted phenotypes in subjects with ASD compared to typical controls [25]. Finally, the risk variant also is associated with distinct gray matter growth patterns in specific regions of the human brain [26].

Though recapitulating human brain-related clinical disorders precisely in rodents is not possible, behavioral analysis is very useful for translating human genetic and functional studies with developmental, cellular, and physiological changes in animal models in which there is genetically reduced or eliminated expression of ASD risk genes [27–29]. The present studies were designed to determine whether the Met-related cellular and electrophysiological phenotypes have specific behavioral consequences. Because constitutive Met null mice are embryonic lethal [30], we generated two conditional mouse lines, deleting Met from specific neuronal populations. The Emx1 cre driver line [31] was used to delete Met from neurons arising in the dorsal pallium and the Nestin cre driver line [32] to delete Met from all neural cells. We report that the behavioral phenotypes vary by line and gene dose, consistent with a complex and heterogeneous impact of reducing Met expression in specific circuits, brain circuits in the mouse.

Methods

Mice

Met fx/fx/Emx1 cre animals were generated as previously described [11]. Briefly, conditional Metfx/fx/Emx1cre mutant mice were produced by mating mice homozygous for a Met allele, in which exon 16 is flanked by loxP sites originally generated in the 129SV mouse strain [33] (courtesy of Dr. Snorri Thorgeirsson, NIH/Center for Cancer Research, Bethesda, MD), to Emx1 cre mice originally generated in the 129S2/SvPas strain [31] (courtesy of Dr. Kevin Jones, University of Colorado, Boulder, CO) that were also heterozygous for the floxed allele (Met fx/+/Emx1 cre). Conditional Met fx/fx/Nestin cre mutant mice were generated by mating mice homozygous for Met allele to Nestincre animals purchased from Jackson Laboratory (Strain Name: B6Cg-Tg(Nes-cre)1Kln/J) that were also heterozygous for the floxed allele (Met fx/+/Nestin cre). All breeding lines Met fx/fx, Metfx/+/Emx1cre, and Met fx/+/Nestin cre were back-crossed onto the C57BL/6J background (purchased from Jackson Laboratory) for greater than 10 generations, and their progeny (i.e., Met fx/fx/Emx1 cre (knockout (KO)), Met fx/+/Emx1 cre (heterozygous (Het)), Met fx/fx/Nestin cre (KO), Met fx/+/Nestin cre (Het), and littermate control (wildtype (WT)) mice) were genotyped via polymerase chain reaction (PCR) as previously described [11]. The PCR primer set for cre was forward 5′-TCGATG CAACGAGTGATGAG-3′ and reverse 5′-TTC GGC TAT ACG TAA CAG GG-3′ to produce a 481-bp PCR product.

Animals were housed on ventilated racks with their littermates (either WT and KO or WT, Het, and KO), with 12-h light-dark cycle (5:00 am–5:00 pm), and access to food and water ad libitum. Only adult male mice between postnatal day (P) 90 and P140 were used for behavioral analysis. All experiments conformed to the guidelines set forth by the University of Southern California Institutional Animal Care and Use Committee and the National Institutes of Health.

Behavior

A battery of behavioral tests [28, 34] were used to assess cognitive, emotional, and social impairments that are observed in multiple neurodevelopmental disorders, including ASD, and that are, in part, subserved by circuits that express Met developmentally [10, 11]. Additional assays were performed to assess motor capacity. The sequence of tasks was such that simple motor tasks (rotarod and activity chamber) were performed first, followed by more complex testing of baseline cognition and anxiety (elevated plus maze, marble burying, spontaneous alternation). This was followed by sociability, social novelty preference and olfactory dishabituation, and lastly contextual and cued fear conditioning. Multiple cohorts of animals were run through the battery of tests. Within each cohort, WT animals were always pair housed either with KO animals or, for the Met fx/fx;fx/+/Nestin cre cohorts, with KO and Het. Our behavioral battery assessment of the Met fx/fx/Emx1 cre cohorts revealed no significant differences between Het and WT offspring; so, our breeding schema was designed to favor production of KO animals. All animals in a cohort (WT, KO, Hets) were run simultaneously to control for potential environmental confounds. All behavioral assays were performed during the light portion of the circadian cycle between 6:30 am and 12:30 pm. Mice were habituated to transportation to the behavior rooms located in the vivarium and acclimated for a minimum of 30 min before each behavioral test. All tasks were performed by experimenters blind to the genotype of each animal.

Data analysis

All behavioral coding and statistical analyses were performed by experimenters blind to the genotype of the animals. For tasks recorded by videotape (elevated plus maze, marble burying, T-maze, social novelty preference, and olfactory dishabituation), all behavioral codings were completed using a combination of CleverSys TopScan and Social Scan Software (CleverSys Inc., Reston, VA), and Mooses observation system [35]. For rotarod, activity chamber, contextual, and cued fear conditioning, behavioral codings were completed using the built-in software program from Med Associates for each task. Specific statistical analyses are described for each behavioral task. A p value less than 0.05 was considered significant.

Specific behaviors

Rotarod

Performance on the rotarod was assessed to measure coordination and motor learning.

Apparatus

A Med Associates ENV-575M, Five Station Rota-Rod Treadmill USB for Mouse was used. The diameter of the rotating shaft was 3.2 cm; each lane was 5.7 cm wide, at an elevation of 16.5 cm.

Steady speed testing procedure

Mice were placed on the rotarod for 10 trials, 1 min each, under dim light (30 lx). The rotarod spins continuously at 32 RPM until the animal falls off the rotating shaft, thus breaking the s. The software calculates the latency to fall off the rotating shaft.

Accelerating testing procedure

Mice were placed on the rotarod for three trials, 5 min each, for three consecutive days, under dim light (30 lx). The rotarod accelerates from 4 to 40 RPM for each trial until the animal falls off the rotating shaft, thus breaking the photobeam. The software calculates the latency to fall off the rotating shaft.

Steady speed analysis

The amount of time the mouse spent on the rotarod per trial was calculated. A repeated measures ANOVA was used with genotype as a between subjects factor and trial as a within subjects factor. If the omnibus test detected a significant effect for genotype or genotype by behavior, a post hoc t test was performed to determine the trial in which the differences occurred.

Accelerating speed analysis

The amount of time the mouse spent on the rotarod was calculated for each trial. Averages for latency to fall were calculated for each of the 3 days. A repeated measures ANOVA was used with genotype as the between subjects factor and day as the within subjects factor. If the omnibus test detected a significant effect for genotype or genotype by behavior, a post hoc t test was performed to determine the day in which the differences occurred.

Activity chamber

Locomotor activity was assessed over a 30-min period in an activity chamber that was novel for each mouse.

Apparatus

Med Associates ENV-510 testing chambers within sound isolation cubicles were used. The chambers are 27 cm × 27 cm × 20.3 cm high with 16 infrared transmitters and receivers to detect movement in the x, y, and z planes. The house light and fan in the chambers remained on for the duration of the task.

Testing procedure

Mice were placed in the center of the chambers for free exploration over 30 min.

Analysis

The Med Associates Activity Monitor program detects infrared beam breaks, thus calculating total distance traveled in each plane (cm). Distance traveled during the 30-min trial, as well as data binned into serial 5-min time periods, was calculated for each animal. A repeated measures ANOVA was used with genotype as the between subjects factor and distance traveled as the within subjects factor. If the omnibus test detected a significant effect for genotype or genotype by behavior, a post hoc t test was performed to determine the time points at which differences occurred.

Elevated plus maze

To assess general anxiety, mice were tested on an elevated plus maze (EPM). Typically, mice spend greater time in the protected (closed) arms compared to the unprotected (open) arms.

Apparatus

A San Diego Instruments EPM for mice was used. The maze has a height of 38.74 cm, with each arm of the maze 5 cm wide, 30.5 cm long, and a 5 × 5-cm center compartment. The closed arms are protected by perimeter walls 15.24 cm high. The lighting intensity was set at 12 lx for the open arms, 1 lx for the closed arms, and 10 lx for the center.

Testing procedure

Mice were placed in the center of the maze, facing an open arm and provided 5 min to freely explore the maze.

Analysis

The number of entries into each closed and open arm, total arm entries, and the amount of time spent in the open and closed arms, and the center was calculated. Entries into the maze arms were defined as all four paws crossing into an arm from the center area. Entries and durations were automatically tabulated using the MazeScan suite of TopScan video analysis software (CleverSys Inc., Reston VA). Duration and entries were analyzed separately. A repeated measures ANOVA was performed for both measures with genotype as the between subjects factor and area of the maze (center or open/closed arm) as the within subjects factor. If the omnibus test detected a significant effect for genotype or genotype by behavior, a post hoc t test was performed to determine at which maze location the differences occurred.

Marble burying

Marble burying was performed to assess neophobia, general anxiety, and/or repetitive behaviors [36].

Apparatus

Allentown microVent wide rat cages, 39 cm long × 28.5 cm wide × 19 cm high, were used.

Testing procedure

Animals were habituated to a novel cage with 4.5 cm of Sani-Chip bedding (Absorption Corp., Ferndale, WA) for 30 min. After habituation, animals were briefly removed and 20 marbles were systematically arranged in the same test cage. Animals were then placed back into the cage and given 30 min to freely explore. The task was performed in a room with 30 lx lighting.

Analysis

The number of marbles that was buried (minimum 50 % coverage of the marble) at the end of the 30-min session was counted. A one-way ANOVA (genotype as between factor) was performed to determine statistical significance between genotypes.

Spontaneous alternation in T-maze

Spontaneous alternation in the T-maze was used to assess working memory and attention, although performance is known to be influenced by states of anxiety, arousal, and altered novelty preference [37, 38].

Apparatus

A San Diego Instruments T-maze for mice was used. Three enclosed arms comprise the maze, two of which are 15.24 cm in length each, and one arm 19.05 cm in length. Each arm is 5.08 cm wide, and center area is 5.08 cm by 5.08 cm. Wall height is 11.58 cm. The arms of the maze were illuminated between 12 and 18 lx during testing.

Testing procedure

Mice were placed in the center of the maze facing one arm and given 8 min to explore the maze. Each session was recorded by a video camera positioned above the maze. An arm visit was counted when all four paws were moved into an arm.

Analysis

A triple alternation in the T-maze was defined as a visit to each of the three arms sequentially. Same arm returns (SAR) indicated that an animal returned to the same arm it had exited. Alternate arm returns (AAR) was defined as an alternation between two arms. The percent spontaneous alternation (%SA) was calculated by dividing the number of triple alternations by the number of possible alternations [# alternations/(# total arm entries−2) × 100], as described previously [39–45]. Chance performance is based on three arms with 33 possible combination of entries, but only six of those combinations result in a triplet; thus chance is equal to (6/27)*100 %, or 22.2 %. Percent same arm and alternate arm returns (% SAR and % AAR) were calculated as a ratio of returns to total number of entries multiplied by 100 (SAR or AAR/total entries) *100). A one-way ANOVA (genotype as the between subjects factor) was used to determine statistical significance for total arm entries, % SA, % AAR, and % SAR.

Olfactory dishabituation

Olfactory detection, habituation, and dishabituation to social and non-social odorants were measured in all mice. This specific task takes advantage of a rodent’s ability to rapidly habituate to an odor, by adapting a task that has been utilized to demonstrate deficits in this modality in mutant mice [46–48]. This task is divided into five odor presentation blocks in the following order: water (baseline), non-social #1, non-social #2, social #1, and social #2. During each block, mice typically show high levels of sniffing during the first presentation of the odor, but rapidly habituate, reflected in decreased sniffing time across the second and third presentations of the same odor. When a new odor is presented, sniffing time increases (dishabituation), indicating that the mouse can distinguish between the two odors.

Apparatus

An Allentown microVent mouse cage measuring 29.5 cm long by 18.5 cm wide by 13 cm high was used. The empty wire food rack was placed on top of the cage to hold the cotton swab during testing.

Testing procedure

The mouse was placed in novel cage for a 30-min acclimation, followed by three 2-min presentations of (1) 150-μL water, (2) 150-μL lemon extract, (3) 150-μL vanilla extract, (4) a cotton swab swabbed on the bottom of stranger mouse #1’s homecage, and (5) a cotton swab swabbed on the bottom of stranger mouse #2’s homecage. Pure lemon and vanilla extract (McCormick and Company, Inc.) were applied at full concentration. The odor presentation was counterbalanced so half the animals received lemon extract presentations first, followed by vanilla, and the other half of the animals had the reverse presentation. The task was performed in a room with standard lighting (65–70 lx) to allow for proper side view videotaping of the behavioral task.

Analysis

The time spent sniffing the cotton swab was recorded for each odor presentation. A repeated measures ANOVA was performed with genotype as the between subjects factor, and odorant presented as the within subjects factor. If the omnibus test detected a significant effect for genotype or genotype by behavior, a post hoc t test was performed to determine for which odorant sniffing behavior differences occurred.

Social novelty preference

Social behavior was assayed using a modified three-chamber arena task. This task probes general sociability and preference for social novelty, using a well-described paradigm [28, 49] in a custom-designed three-chamber arena.

Apparatus

The equipment used for this task was a custom designed Plexiglas three-chamber arena 63 cm long by 42 cm wide by 23 cm high. The two outer chambers are 24.5 cm long × 42 cm wide × 23 cm high, and the inner compartment between the two outer chambers is 11.5 cm long × 42 cm wide × 23 cm high. The inner compartment has two walls with small entryways (10 cm high by 10 cm long, 14.5 cm from end of chamber) to allow free exploration of all three chambers when doors are in the open position. The doors measure 10.5 cm × 28 cm and remain open for the duration of the experiment.

Testing procedure

The experimental mouse was placed in the central compartment and given 10 min to explore the arena with an empty inverted wire cup (Spectrum Diversified Designs, Streetsboro, OH, USA) present in the left and right compartments. A stimulus mouse was then placed inside an inverted wire cup on one side, and the experimental mouse was allowed to explore the arena for an additional 10 min (sociability phase). A second novel stimulus mouse was then placed under an inverted wire cup on the opposite side, and the experimental mouse was allowed to explore the arena for another 10 min (social novelty preference). The task was performed in a room with 30 lx lighting.

Analysis

The time spent in each of the three chambers and time spent investigating each of the wire cups were calculated for both phases of the test (sociability and social novelty preference). A two-way ANOVA was performed with genotype as the between subjects factor and either chamber time or time spent investigating cup as the within subjects factor during both sociability and social novelty preference trials. If the omnibus test detected a significant effect for genotype or genotype by behavior, a post hoc t test was performed to determine at which maze location the differences occurred.

Fear conditioning

Learning and memory for both contextual and cue-specific fear conditioning was assayed. Cohorts of WT, Met fx/fx/Emx1 cre, Met fx/fx/Nestincre, and Met fx/+/Nestincre mice were tested in contextual fear conditioning. Met fx/fx/Nestincre and Met fx/+/Nestincre mice animals were also tested in the cued fear conditioning paradigm based on initial results in the contextual fear conditioning paradigm. Individual animals were tested in either the contextual or the cued fear conditioning paradigm; no animal was tested in both paradigms to avoid confounds due to the influence of one task on subsequent fear testing.

Apparatus

Med Associates MED-VFC-NIR-M, NIR Video Fear Conditioning Systems for Mouse were used. Fear conditioning chambers were 30 × 25 × 25 cm housed within sound attenuating chambers.

Testing procedure

Contextual fear conditioning:

Training: Animals were placed into the dark sound-attenuating cubicle and acclimated for 3 min. Animals were then presented with five 2-s 0.5-mA footshocks separated by 220-s intertrial intervals. Two minutes after the last shock, mice were placed into their homecage for 24 h.

Test: The next day, mice were placed into the same dark sound-attenuating cubicle. Animals were given 8 min to explore without footshocks presented.

Cued (auditory) fear conditioning

Habituation in context A: Animals were placed into the dark sound-attenuating cubicle and acclimated for 30 min, followed by return to their homecage for 24 h.

Training in context A: Animals were placed into the dark sound-attenuating cubicle and given 3 min to acclimate. Animals were then presented with five 2-s 0.3-mA footshocks that were preceded by a 30-s 85-dB 5-kHz tone that terminated simultaneously with the termination of the footshock. Footshocks were separated by 180-s intertrial intervals. Three minutes after the last shock, mice were returned to their homecage for 24 h.

Contextual test in context A: Animals were placed into the dark sound-attenuating cubicle for 8 min and then returned to their homecage for 20 min before the cue test.

Cue test in context B: Animals were placed into the dark sound-attenuating cubicle with new floor and wall inserts to change the appearance of the cubicle and given 3 min to acclimate. Animals were then presented with 10 presentations of the 30-s 85-dB 5-kHz tone separated by 60-s intertrial intervals. One minute after the last tone, animals were returned to their homecage for 24 h.

Extinction tests in context B: Animals were placed into the dark sound-attenuating cubicle with new floor and wall inserts to change the appearance of the cubicle and given 3 min to acclimate. Animals were then presented with 10 presentations of the 30-s 85-dB 5-kHz tone separated by 60-s intertrial intervals. One minute after the last tone, animals were returned to their homecage.

Analysis

Video freeze by Med Associates was used to calculate percent time spent freezing during learning and memory trials of contextual and cued fear conditioning. A repeated measures ANOVA was performed with genotype as the between subjects factor and freezing during trials as the within subjects factor. If the omnibus test detected a significant effect for genotype or genotype by behavior, a post hoc t test was performed to determine during which trials the differences occurred.

Results and discussion

Multiple cohorts of animals were run within the same animal vivarium. Within each cohort, there were always matched WT and KO (and Het for Nestincre) run simultaneously to control for possible environmental confounds. All cohorts were collapsed into a single dataset for each driver line (Emx1cre or Nestincre) as there were no statistically significant differences in patterns of data generated between cohorts. Data are presented separately for the Met fx/fx/Emx1 cre line and the Met fx/fx;fx/+/Nestincre line.

Metfx/fx/Emx1cre

Animals that were homozygous null for Met in structures that are derived from the dorsal pallium (including excitatory projection neurons in neocortex, olfactory bulb, CA1 neurons of the hippocampus, and cortical amygdala region) were tested in the battery of behavioral tests described above.

Steady speed rotarod

Met fx/fx/Emx1 cre KO animals demonstrated better performance on the rotarod compared to their WT littermates, F (1, 52) = 4.245, p < 0.05 (Fig. 1). Both groups showed consistent improved performance across the 10 trials, F (9, 468) = 18.990, p < 0.0001. There was no interaction effect between genotype and trials, F (9, 468) = 1.063, p > 0.05.

Fig. 1
figure 1

Performance on the steady speed rotarod. Met fx/fx/Emx1 cre KO animals demonstrated consistently better performance on the rotarod for all trials compared to their WT littermates (*p < 0.05)

Full size image

Accelerating rotarod

A two-way repeated measures ANOVA revealed no significant differences between genotypes for motor learning on the accelerating rotarod, p > 0.05 (Table 1). Both groups showed consistent improved performance across the 3 days, p < 0.0001. There was no interaction effect between genotype and days, p > 0.05.

Table 1 Behavioral characterization of WT and Metfx/fx/Emx1cre KO mice
Full size table

Activity chamber

Met fx/fx/Emx1 cre KO animals were hypoactive compared to their WT littermates, with a statistically significant main effect for genotype, F (1, 51) = 12.260, p < 0.005 (Fig. 2). There was a main effect for time, F (5, 255) = 4.308, p < 0.001, with all animals, independent of genotype, displaying more exploratory behavior at the beginning of the 30-min trial, followed by reduced exploration. Additionally, there was an interaction effect, F (5, 255) = 3.184, p < 0.01, with the WT animals exhibiting more exploratory behavior during the first 5 min, then tapering off. In contrast, the KO animals showed a more consistent activity level across the 30-min task.

Fig. 2
figure 2

Locomotion in the activity chamber. Compared to their WT littermates, Met fx/fx/Emx1 cre KO animals were hypoactive in the activity chamber (*p < 0.005)

Full size image

Elevated plus maze

Met fx/fx/Emx1 cre KO animals did not exhibit anxiety-like behavior in the EPM task (Table 1). Separate two-way ANOVAs were performed for duration and arm entries in the EPM. For duration, there was no main effect for genotype, p > 0.05. There was a main effect for location in the maze, with animals of both genotypes spending more time in the closed arms, p < 0.0001. Furthermore, there was no interaction between genotype and arm location, p > 0.05. Similarly, analysis of arm entries revealed there was no main effect for genotype, p > 0.05. There was a main effect for location in the maze, with all animals spending more time in the closed arms than open arms, p < 0.05. Furthermore, there was no interaction between genotype and location in the maze, p > 0.05.

Marble burying

There was no anxiety-like nor repetitive behaviors exhibited by Met fx/fx/Emx1 cre KO animals in this task (Table 1). A t test revealed no significant difference between genotypes for the total number of marbles buried at the end of the 30-min trial, p > 0.05.

T-maze

Met fx/fx/Emx1 cre KO animals showed significant impairment in spontaneous alternation, t 51 = 2.475, p < 0.05 (Fig. 3a). However, neither alternate arm returns nor same arm returns were significantly different between groups, t 51 = −1.576, p > 0.05, and t 51 = −1.259, p > 0.05, respectively. Consistent with their hypoactivity in the activity chamber, KO animals also displayed reduced exploration in the T-maze, with significantly diminished total arm entries, t 51 = 2.162, p < 0.05 (Fig. 3b). Because spontaneous alternation, alternate arm, and same arm returns were calculated by including total arm entries as a moderator, the decreased locomotor activity in the T-maze was not a confounder of the spontaneous alternation findings.

Fig. 3
figure 3

Spontaneous alternation in the T-maze. a Met fx/fx/Emx1 cre KO animals showed significant impairment in percent spontaneous alternation, while alternate arm returns and same arm returns were equivalent between the two genotypes. b Met fx/fx/Emx1 cre KO animals also displayed reduced exploration in the T-maze compared to WT animals (*p < 0.05)

Full size image

Sociability and social novelty preference

Overall, there were no differences in either sociability scores or in social novelty preference scores between Met fx/fx/Emx1 cre KO and WT animals (Table 1). Time in each chamber and time sniffing specific cups were analyzed separately. For chamber time, during the sociability trial, there was no main effect for genotype, p > 0.05. There was a main effect for chamber location during sociability p < 0.05, with all animals spending more time in the chamber with the stimulus mouse. Furthermore, there was no interaction effect, p > 0.05. For chamber time, during the social novelty preference trial, there was no main effect for genotype, p > 0.05. Interestingly, there also was no main effect for chamber location, p > 0.05. Furthermore, there was no interaction effect, p > 0.05. In comparing cup-sniffing times, there also were no differences either in sociability or in social novelty preference scores between the two groups. Both groups of animals spent more time sniffing the cup with the stimulus mouse, p < 0.05, and there was no main effect for genotype during the sociability trial, p > 0.05. Furthermore, there was no interaction between genotype and cup sniffing, p > 0.05. During the social novelty preference trial, both groups of animals spent more time sniffing the cup with the novel mouse, p < 0.05, but there was no main effect for genotype, p > 0.05. Additionally, there was no interaction between genotype and cup sniffing, p > 0.05.

Olfactory dishabituation

A two-way repeated measures ANOVA revealed there were no significant differences between genotypes for sniffing behaviors during the olfactory test, p > 0.05 (Table 1).There was a significant main effect for trial, p < 0.001, with the social trials eliciting more sniffing time. Furthermore, there was no interaction effect, p > 0.05, with both groups of animals spending similar times sniffing odorants.

Contextual fear conditioning

A repeated measures ANOVA for fear conditioning revealed no significant differences between genotypes, p > 0.05 (Table 1). There was a main effect for fear conditioning trial, p < 0.0001, with all animals displaying significantly increased freezing during the training and retention test compared to baseline. Furthermore, there was no interaction between genotype and trial, p > 0.05.

Metfx/fx;fx/+/Nestincre

Animals that were either heterozygous (Met fx/+) or homozygous (Met fx/fx) null for Met in peripheral and central neural structures were tested in the behavioral battery described above.

Steady speed rotarod

In contrast to the Met fx/fx/Emx1 cre KO mice, a two-way repeated measures ANOVA revealed no significant differences between any of the Nestin cre-derived genotypes for performance on the rotarod, p > 0.05 (Table 2). All animals showed improved performance across trials, p < 0.0001. Furthermore, there was no interaction effect between genotype and rotarod trials, p > 0.05.

Table 2 Behavioral characterization of WT, Metfx/+/Nestincre Het, and Metfx/fx/Nestincre KO mice
Full size table

Accelerating rotarod

A two-way repeated measures ANOVA revealed no significant differences between genotypes for motor learning on the accelerating rotarod, p > 0.05 (Table 2). All animals showed consistent improved performance across the 3 days, p < 0.0001. Furthermore, there was no interaction effect between genotype and days, p > 0.05.

Activity chamber

Whereas the Met fx/fx/Emx1 cre KO mice exhibited activity differences compared to WT, a two-way repeated measures ANOVA revealed no significant differences between any of the Nestin cre-derived genotypes, p > 0.05, indicating that there was no difference in total distance traveled by all animals (Table 2). Additionally, all animals, independent of genotype, displayed more exploratory behavior at the beginning of the 30-min trial and then reduced their exploration, with a main effect for time p < 0.0001. Furthermore, there was no interaction effect between genotype and time in activity chamber, p > 0.05.

Elevated plus maze

Separate two-way repeated measures ANOVAs were performed for both duration and entries in the EPM (Table 2). For duration, there was no main effect for genotype, p > 0.05. There was a main effect for location in the maze, all animals spent more time in the closed arms, p < 0.0001. In contrast to the findings with the Met fx/fx/Emx1 cre KO mice, there was a significant interaction between genotype and arm location, p < 0.005. A Tukey’s post hoc analysis revealed Met fx/+/Nestin cre Het was significantly different from WT in both the closed arm and center time, with the Met fx/+/Nestin cre Het mice spending more time in the center portion of the arena (Fig. 4). Analysis of arm entries revealed there was no main effect for genotype, p > 0.05. There was a main effect for location in the maze; all animals returned to the closed arms more often than open arms, p < 0.0001. Furthermore, there was no interaction, p > 0.05.

Fig. 4
figure 4

Elevated plus maze performance. Met fx/+/Nestin cre Het mice spent significantly more time in the center and less time in the closed arms of the elevated plus maze as compared to WT animals. (*p < 0.05). There were no differences in time spent in the open arms between groups

Full size image

Marble burying

A one-way ANOVA revealed no significant differences in total number of marbles buried between genotypes, p > 0.05 (Table 2).

T-maze

Distinct from the Met fx/fx/Emx1 cre KO mice, a one-way ANOVA found no differences in spontaneous alternation for any of the Nestin cre-derived genotypes, p > 0.05 (Table 2). Neither alternate arm returns, same arm returns, nor total arm entries were significantly different between groups, p > 0.05.

Sociability and social novelty preference

Two-way repeated measures ANOVA was conducted for sociability and social novelty preference scores using both chamber time and cup sniffing times for separate analyses (Table 2). For the chamber time during the sociability trial, there was no main effect for genotype, p > 0.05. There was a main effect for chamber location during sociability, p < 0.0001, with all animals spending more time in the chamber with the stimulus mouse. Interestingly, there was an interaction effect, p < 0.05. A Tukey’s post hoc analysis revealed Met fx/fx/Nestin cre KO animals spent significantly more time in the chamber with an empty wire cup than the Met fx/+/Nestin cre Het animals (Fig. 5). For chamber time during the social novelty preference trial, there was no main effect for genotype, p > 0.05. There was a main effect for chamber location during the test with all animals spending more time on the side of the chamber where the novel mouse was located, p < 0.0001. Furthermore, there was no interaction effect, p > 0.05. When comparing cup-sniffing times, there were no differences either in sociability or in social novelty preference scores between the groups. During the sociability trial, there was no main effect for genotype, p > 0.05. Both groups of animals spent more time sniffing the cup with the stimulus mouse, p < 0.0001. Furthermore, there was no interaction between genotype and cup sniffing, p > 0.05. During the social novelty preference trial, there was no main effect for genotype, p > 0.05. All animals spent more time sniffing the novel mouse, p < 0.0001. Additionally, there was no interaction between genotype and cup sniffing, p > 0.05.

Fig. 5
figure 5

Sociability in the three-chamber task. While all animals demonstrated sociability (more time in chamber with stranger mouse than empty cup), Met fx/fx/Nestin cre KO mice spent significantly more time in the chamber with the empty wire cup compared to Met fx/+/Nestin cre Het animals. (*p < 0.05). There were no significant differences in center time or in the time spent in the chamber with the stranger mouse

Full size image

Olfactory dishabituation

There were no significant differences between genotypes during olfactory dishabituation, p > 0.05 (Table 2). There was a significant main effect for trial, p < 0.0001, with the social trials eliciting more sniffing time. Furthermore, there was no interaction effect between genotype and sniffing behavior, p > 0.05, with all animals showing similar sniffing behaviors across odorants.

Contextual fear conditioning

In contrast to the Met fx/fx/Emx1 cre KO mice, there were significant differences between genotypes for contextual fear conditioning, F (2, 53) = 5.748, p < 0.01 (Fig. 6). Additionally, there was a main effect for fear conditioning phase, F (2, 106) = 152.3, p < 0.0001, with animals displaying significantly increased freezing during the training session and retention test compared to baseline. Furthermore, there was also a significant interaction effect, F (2, 106) = 5.209, p < 0.001. Tukey’s multiple comparisons test revealed Met fx/+/Nestin cre Het mice exhibited significantly impaired freezing during contextual fear training compared to WT (p < 0.05), while Met fx/fx/Nestin cre KO animals display a non-significant trend toward reduced freezing. Additionally, Tukey’s multiple comparison test also revealed that both the Met fx/+/Nestin cre Het and Met fx/fx/Nestin cre KO animals showed significantly blunted freezing during the retention test compared to WT, p < 0.05.

Fig. 6
figure 6

Contextual fear learning and memory. Met fx/+/Nestin cre Het mice exhibited significantly impaired freezing during contextual fear training compared to WT animals. Both the Met fx/+/Nestin cre Het and Met fx/fx/Nestin cre KO animals also showed significantly blunted freezing during the retention test compared to WT animals (*p < 0.05)

Full size image

Cued (auditory) fear conditioning

Training, testing, and extinction trials were analyzed separately with two-way repeated measures ANOVAs to determine differences in rates of learning across genotypes (Table 2). For the acquisition of cued fear conditioning, there was no main effect for genotype, p > 0.05. There was a main effect for trial, p < 0.0001, with all animals showing increased freezing times to the presentation of the cue with more footshock exposures. There was no interaction effect between genotype and trials, p > 0.05. The following day, there was very little freezing during the context test. There were no differences in the context test between genotypes, p > 0.05. During the cue test, however, animals showed significant freezing times. There was no main effect for genotype, p > 0.05. There also was no main effect for trial, p > 0.05, with all animals showing consistent freezing across trials. Furthermore, there was no genotype by trial interaction, p > 0.05. During all three extinction tests, there was no main effect for genotype, p > 0.05. Only during the first extinction test was there a main effect for trial, p < 0.05, with all animals showing decreased freezing across trials. The remaining two extinctions showed no main effect for trial, p > 0.05. Furthermore, for all three extinction tests, there was no genotype by trial interaction, p > 0.05.

Conclusions

Here, we report that genetic disruption of Met expression results in distinct phenotypes depending upon the neuronal populations that are targeted. The findings are not surprising, given that multiple studies across species have shown that disruption of MET signaling genetically results in distinct cellular phenotypes, depending upon the central or peripheral neural structure in which gene expression is manipulated [3, 5, 8, 15, 30, 50]. For example, our morphological and electrophysiological studies revealed differences in synapse development that alter excitatory drive onto deep layer pyramidal neurons from input located in superficial layers in the neocortex and early excitatory synapse maturation in the hippocampus. It is important to emphasize that specific altered phenotypes are evident in only select subpopulations of neurons. For example, increased excitatory drive is expressed by a subset of layer V cortical-striatal neurons, but not cortico-pontine neurons [15]. Moreover, different cell populations appear to be more or less sensitive to gene dose [8, 15]. These data are consistent with the hypothesis that, in the forebrain, MET signaling can influence developmental processes that underlie quantitative temporal and spatial aspects of connectivity. However, disruption in signaling alone is insufficient to create dramatic transformations such as those observed with genes that cause syndromic disorders that often are accompanied by intellectual disability and other severe impairments. Our hypothesis is also consistent with the recent discovery of a pedigree in which a heterozygous loss-of-function mutation of MET results in ASD or social-communication diagnosis, but no intellectual disability. Our current behavioral findings, subtle in nature, are also consistent with a modulatory role for MET gene dose in human brain growth (Hedrick, 2012). Human neuroimaging studies showed that the functional “C” promoter allele, which reduces gene transcription, correlates with reduced connectivity and functional activation of circuits when looking at emotional faces, even in the typically developing population [25].

The present study was the first attempt to reveal the behavioral impact of altering Met expression in the mouse. Unique to the study design was examination of the impact of integrated circuitry using two distinct driver lines to eliminate Met expression. We first eliminated Met using Emx1 cre to eliminate functional signaling from neurons derived from the dorsal pallium. These cells give rise in part to circuitry involved in mediating social and emotional behaviors disrupted in ASD. We also eliminated Met using the Nestin cre driver, in which Met was deleted from all neural cells, thereby presumably impacting behaviors more globally, not only those considered core ASD behaviors. Because there are fundamental differences in the neocortical expression patterns of MET in primates compared to mice [10, 13, 14], with Met being more widespread in the rodent, it was not clear whether any core social-communication deficits that are associated with the C promoter allele would be altered in the mouse models. We therefore used a large repertoire of behavioral tasks, including basic motor function, probes of affective state, social proclivity, and complex learning that extend beyond mouse behaviors that have human correlates implicated in ASD. These additional behaviors, such as activity, anxiety, and attention, are not diagnostic of ASD but can be expressed by subgroups of children with the diagnosis [51–53].

In general, the Met fx/fx/Emx1 cre KO animals display hypoactivity across several behavioral tasks, but this does not appear to reflect impaired coordination, as their performance on the rotarod was significantly better than their WT littermates. Additionally, these animals display blunted spontaneous alternation, indicative of impaired spatial working memory. These animals show no differences in olfactory dishabituation, sociability, and social novelty preference, and their learning and retention of memory in fear conditioning was intact. The more global deletion of Met generated some surprising results but readily replicated in separate cohorts. First, the Met fx/+;fx/fx/Nestin cre Het and KO lines do not express differences in locomotion or spontaneous alternation. In fact, the only behavioral task in which these animals differ from their WT littermates is contextual fear conditioning. Second, the more severe deficits measured in Met fx/+/Nestin cre Het animals compared to the full KO or WT was unexpected. Het mice exhibited disruptions in both fear learning and memory, whereas the Met fx/fx/Nestin cre KO animals demonstrate a disruption only in fear memory. While not statistically significant, the same trend for more disruptions in Het mice is present in both rotarod and activity chamber performance. As already noted, this was not seen with the heterozygous Met fx/+/Emx1 cre mice, as they do not show any behavioral differences from WT in the tasks used here (data not shown). Interestingly, Het and KO mice created with the same Emx1 Cre driver, however, do exhibit similar increases in excitatory drive on a subset of layer 5 pyramidal cells [15], suggesting that more targeted, advanced behavioral tasks that probe intracortical connectivity in mice would need to be used to demonstrate cellular and whole animal functional correlates.

In contrast to the current report, most behavioral studies do not examine potential gene dose effects. When analyzed, Het animals typically are reported as not different from WT or intermediate between complete knockouts and controls [54–59]. There are several explanations for the more robust Het phenotype observed here. It is possible that Met fx/+/Nestin cre Het mice, which express approximately 50 % of MET protein (Additional file 1), fail to exhibit compensatory mechanisms that may occur in complete Met fx/fx/Nestin cre KO animals in which the early complete absence of MET signaling generates adaptations (Fig. 7). Certain experimental perturbations have revealed this phenomenon, such as the lack of phenotype when a gene is deleted genetically, but robust disruptions when expression is reduced partially in a subset of cells [60, 61]. In addition, even for genes that cause syndromic disorders, behavioral studies are complex due to issues of strain background, the genetic strategies for deletion, variation in testing environments across laboratories, and even testers [62–64].

Fig. 7
figure 7

Theoretical model of Met gene dose effect on behavioral disruption. Our data indicate that intermediate expression of Met (Met fx/+/Nestin cre Het) resulted in significant behavioral deficits while the absence of Met (Met fx/fx/Nestin cre KO) only sometimes impacted behavior. The model suggests an inverse U-shaped model of atypical behavior such that an absence of Met can lead to compensatory changes in brain development. The model proposes a threshold of Met gene dosage for a behavior deficit and a second threshold of Met gene dosage that is permissive for compensatory mechanisms resulting in typical behavior

Full size image

Inverted “U” outcomes are common, in which the same physiological response or behavioral performance occurs with low or high amounts of hormones, neurotransmitters, or psychological stress [65–69]. Here, because the MET receptor tyrosine kinase converges on downstream intracellular systems (ERK and PI3 kinase) that mediate many receptor signaling cascades [70], it is possible that an imbalance in signaling during development is as, or more, detrimental than no signaling at all via this receptor. It is interesting that for ASD and intellectual disability, disruptions of the intracellular downstream components from multiple receptors are dominant [71, 72]. If such adaptive differences do occur, it is likely that there are cell type-specific effects (as seen electrophysiologically between neocortical [15] and CA1 hippocampal [8] pyramidal cells), because differences between WT and Met fx/+/Emx1 cre heterozygous mice were not obtained in the behavioral assays used here. It is important to note that these classic probes of behavior may not be sufficiently sensitive to detect differences in information processing due to altered cortical circuitry.

Finally, our studies of Met/MET to date have focused on understanding the role of the receptor tyrosine kinase itself in mediating typical behavioral performance. Studies utilizing ethologically relevant tasks that examine complex information processing may reveal further deficits. Additionally, a combination of genetic disruption and environmental factors will also need to be examined. For example, in humans, the MET functional C allele has been associated with environmental factors, such as ultrafine particle pollutants, that increase risk for ASD [22, 73, 74]. Thus, combining behavioral assays that target forebrain and hindbrain circuits, the latter being where Met is expressed in autonomic circuits prenatally [75], with human population-relevant environmental exposures may yield important avenues for discovering mechanisms of action.

Abbreviations

AAR:

alternate arm return

ANOVA:

analysis of variance

ASD:

autism spectrum disorder

CA1:

cornu ammonis 1 region of hippocampus

Cm:

centimeter

dB:

decibel

EPM:

elevated plus maze

ERK1:

extracellular kinase 1

Het:

heterozygous

kHz:

kilohertz

KO:

knockout

mA:

milliamp

P:

postnatal day

PI3:

phosphoinositide 3

RPM:

revolutions per minute

SA:

spontaneous alternation

SAR:

same arm return

WT:

wildtype

References

  1. Bottaro DP, Rubin JS, Faletto DL, Chan AM, Kmiecik TE, Vande Woude GF, et al. Identification of the hepatocyte growth factor receptor as the c-met proto-oncogene product. Science. 1991;251(4995):802–4.

    Article  CAS  PubMed  Google Scholar 

  2. Graveel CR, Tolbert D, Vande Woude GF. MET: a critical player in tumorigenesis and therapeutic target. Cold Spring Harb Perspect Biol. 2013;5(7):a009209.

    Article  PubMed Central  PubMed  Google Scholar 

  3. Judson MC, Eagleson KL, Wang L, Levitt P. Evidence of cell-nonautonomous changes in dendrite and dendritic spine morphology in the met-signaling-deficient mouse forebrain. J Comp Neurol. 2010;518(21):4463–78. doi:10.1002/cne.22467.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  4. Lim CS, Walikonis RS. Hepatocyte growth factor and c-Met promote dendritic maturation during hippocampal neuron differentiation via the Akt pathway. Cell Signal. 2008;20(5):825–35. doi:10.1016/j.cellsig.2007.12.013.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  5. Tyndall SJ, Patel SJ, Walikonis RS. Hepatocyte growth factor-induced enhancement of dendritic branching is blocked by inhibitors of N-methyl-D-aspartate receptors and calcium/calmodulin-dependent kinases. J Neurosci Res. 2007;85(11):2343–51.

    Article  CAS  PubMed  Google Scholar 

  6. Qiu S, Aldinger KA, Levitt P. Modeling of autism genetic variations in mice: focusing on synaptic and microcircuit dysfunctions. Dev Neurosci. 2012;34(2-3):88–100.

    Article  CAS  PubMed  Google Scholar 

  7. Peng Y, Huentelman M, Smith C, Qiu S. MET receptor tyrosine kinase as an autism genetic risk factor, Bioinformatics of behavior: part 2. 1st ed. Philadelphia: Elsevier Inc; 2014. p. 135–65.

    Google Scholar 

  8. Qiu S, Lu Z, Levitt P. MET receptor tyrosine kinase controls dendritic complexity, spine morphogenesis, and glutamatergic synapse maturation in the hippocampus. J Neurosci. 2014;34(49):16166–79.

    Article  PubMed Central  PubMed  Google Scholar 

  9. Eagleson KL, Milner TA, Xie Z, Levitt P. Synaptic and extrasynaptic location of the receptor tyrosine kinase met during postnatal development in the mouse neocortex and hippocampus. J Comp Neurol. 2013;521(14):3241–59. doi:10.1002/cne.23343.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. Judson MC, Amaral DG, Levitt P. Conserved subcortical and divergent cortical expression of proteins encoded by orthologs of the autism risk gene MET. Cereb Cortex. 2011;21(7):1613–26. doi:10.1093/cercor/bhq223.

    Article  PubMed Central  PubMed  Google Scholar 

  11. Judson MC, Bergman MY, Campbell DB, Eagleson KL, Levitt P. Dynamic gene and protein expression patterns of the autism-associated met receptor tyrosine kinase in the developing mouse forebrain. J Comp Neurol. 2009;513(5):511–31. doi:10.1002/cne.21969.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  12. Eagleson KL, Campbell DB, Thompson BL, Bergman MY, Levitt P. The autism risk genes MET and PLAUR differentially impact cortical development. Autism Res. 2010;4(1):68–83.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Mukamel Z, Konopka G, Wexler E, Osborn GE, Dong H, Bergman MY, et al. Regulation of MET by FOXP2, genes implicated in higher cognitive dysfunction and autism risk. J Neurosci. 2011;31(32):11437–42. doi:10.1523/JNEUROSCI.0181-11.2011.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  14. Bernard A, Lubbers LS, Tanis KQ, Luo R, Podtelezhnikov AA, Finney EM, et al. Transcriptional architecture of the primate neocortex. Neuron. 2012;73(6):1083–99.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  15. Qiu S, Anderson CT, Levitt P, Shepherd GM. Circuit-specific intracortical hyperconnectivity in mice with deletion of the autism-associated Met receptor tyrosine kinase. J Neurosci. 2011;31(15):5855–64. doi:10.1523/JNEUROSCI.6569-10.2011.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  16. Campbell DB, Li C, Sutcliffe JS, Persico AM, Levitt P. Genetic evidence implicating multiple genes in the MET receptor tyrosine kinase pathway in autism spectrum disorder. Autism Res. 2008;1(3):159–68.

    Article  PubMed Central  PubMed  Google Scholar 

  17. Jackson PB, Boccuto L, Skinner C, Collins JS, Neri G, Gurrieri F, et al. Further evidence that the rs1858830 C variant in the promoter region of the MET gene is associated with autistic disorder. Autism Res. 2009;2(4):232–6.

    Article  PubMed  Google Scholar 

  18. Thanseem I, Nakamura K, Miyachi T, Toyota T, Yamada S, Tsujii M, et al. Further evidence for the role of MET in autism susceptibility. Neurosci Res. 2010;68(2):137–41.

    Article  CAS  PubMed  Google Scholar 

  19. Abrahams BS, Arking DE, Campbell DB, Mefford HC, Morrow EM, Weiss LA, et al. SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs). Molecular Autism. 2013;4(1):1.

    Article  Google Scholar 

  20. Campbell DB, D’Oronzio R, Garbett K, Ebert PJ, Mirnics K, Levitt P, et al. Disruption of cerebral cortex MET signaling in autism spectrum disorder. Ann Neurol. 2007;62(3):243–50. doi:10.1002/ana.21180.

    Article  PubMed  Google Scholar 

  21. Campbell DB, Sutcliffe JS, Ebert PJ, Militerni R, Bravaccio C, Trillo S, et al. A genetic variant that disrupts MET transcription is associated with autism. Proc Natl Acad Sci U S A. 2006;103(45):16834–9. doi:10.1073/pnas.0605296103.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  22. Heuer L, Braunschweig D, Ashwood P, Van de Water J, Campbell DB. Association of a MET genetic variant with autism-associated maternal autoantibodies to fetal brain proteins and cytokine expression. Translational Psychiatry. 2011;1(10):e48–7.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Lambert N, Wermenbol V, Pichon B, Acosta S, van den Ameele J, Perazzolo C, et al. A familial heterozygous null mutation of MET in autism spectrum disorder. Autism Res. 2014;7(5):617–22.

    Article  PubMed  Google Scholar 

  24. Campbell DB, Warren D, Sutcliffe JS, Lee EB, Levitt P. Association of MET with social and communication phenotypes in individuals with autism spectrum disorder. Am J Med Genet. 2009. doi:10.1002/ajmg.b.30998.

    Google Scholar 

  25. Rudie JD, Hernandez LM, Brown JA, Beck-Pancer D, Colich NL, Gorrindo P, et al. Autism-associated promoter variant in MET impacts functional and structural brain networks. Neuron. 2012;75(5):904–15. doi:10.1016/j.neuron.2012.07.010.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  26. Hedrick A, Lee Y, Wallace GL, Greenstein D, Clasen L, Giedd JN, et al. Autism risk gene MET variation and cortical thickness in typically developing children and adolescents. Autism Res. 2012;5(6):434–9. doi:10.1002/aur.1256.

    Article  PubMed Central  PubMed  Google Scholar 

  27. Ey E, Leblond CS, Bourgeron T. Behavioral profiles of mouse models for autism spectrum disorders. Autism Res. 2011;4(1):5–16.

    Article  PubMed  Google Scholar 

  28. Crawley JN. Behavioral phenotyping strategies for mutant mice. Neuron. 2008;57(6):809–18.

    Article  CAS  PubMed  Google Scholar 

  29. Hamilton SM, Spencer CM, Harrison WR, Yuva-Paylor LA, Graham DF, Daza RAM, et al. Multiple autism-like behaviors in a novel transgenic mouse model. Behav Brain Res. 2011;218(1):29–41.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  30. Ebens A, Brose K, Leonardo ED, Hanson MG, Bladt F, Birchmeier C, et al. Hepatocyte growth factor/scatter factor is an axonal chemoattractant and a neurotrophic factor for spinal motor neurons. Neuron. 1996;17(6):1157–72.

    Article  CAS  PubMed  Google Scholar 

  31. Gorski JA, Talley T, Qiu M, Puelles L, Rubenstein JL, Jones KR. Cortical excitatory neurons and glia, but not GABAergic neurons, are produced in the Emx1-expressing lineage. J Neurosci. 2002;22(15):6309–14.

    CAS  PubMed  Google Scholar 

  32. Krysko O, Hulshagen L, Janssen A, Schütz G, Klein R, De Bruycker M, et al. Neocortical and cerebellar developmental abnormalities in conditions of selective elimination of peroxisomes from brain or from liver. J Neurosci Res. 2007;85(1):58–72.

    Article  CAS  PubMed  Google Scholar 

  33. Huh CG, Factor VM, Sanchez A, Uchida K, Conner EA, Thorgeirsson SS. Hepatocyte growth factor/c-met signaling pathway is required for efficient liver regeneration and repair. Proc Natl Acad Sci U S A. 2004;101(13):4477–82.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  34. Crawley JN. Behavioral phenotyping of transgenic and knockout mice: experimental design and evaluation of general health, sensory functions, motor abilities, and specific behavioral tests. Brain Res. 1999;835(1):18–26.

    Article  CAS  PubMed  Google Scholar 

  35. Tapp JT, Wehby JH, Ellis D. MOOSES: a multi-option observation system for experimental studies. Behav Res Methods, Instruments, Computers. 1995;27:25–31.

    Article  Google Scholar 

  36. Thomas A, Burant A, Bui N, Graham D, Yuva-Paylor LA, Paylor R. Marble burying reflects a repetitive and perseverative behavior more than novelty-induced anxiety. Psychopharmacology (Berl). 2009;204(2):361–73. doi:10.1007/s00213-009-1466-y.

    Article  CAS  Google Scholar 

  37. Hughes RN. The value of spontaneous alternation behavior (SAB) as a test of retention in pharmacological investigations of memory. Neurosci Biobehav Rev. 2004;28(5):497–505. doi:10.1016/j.neubiorev.2004.06.006.

    Article  CAS  PubMed  Google Scholar 

  38. Lalonde R. The neurobiological basis of spontaneous alternation. Neurosci Biobehav Rev. 2002;26(1):91–104.

    Article  CAS  PubMed  Google Scholar 

  39. Katz RJ, Chudler R. Y-maze behavior after an analog of ACTH 4–9, evidence for an attentional alteration. Psychopharmacology. 1980;71(1):95–6.

    Article  CAS  PubMed  Google Scholar 

  40. Kokkinidis L, Anisman H. Interaction between cholinergic and catecholaminergic agents in a spontaneous alternation task. Psychopharmacology. 1976;48(3):261–70.

    Article  CAS  PubMed  Google Scholar 

  41. Ueno K, Togashi H, Matsumoto M, Ohashi S, Saito H, Yoshioka M. Alpha4beta2 nicotinic acetylcholine receptor activation ameliorates impairment of spontaneous alternation behavior in stroke-prone spontaneously hypertensive rats, an animal model of attention deficit hyperactivity disorder. J Pharmacol Exp Ther. 2002;302(1):95–100.

    Article  CAS  PubMed  Google Scholar 

  42. Ueno KI, Togashi H, Mori K, Matsumoto M, Ohashi S, Hoshino A, et al. Behavioural and pharmacological relevance of stroke-prone spontaneously hypertensive rats as an animal model of a developmental disorder. Behav Pharmacol. 2002;13(1):1–13.

    Article  PubMed  Google Scholar 

  43. Wall PM, Blanchard RJ, Markham C, Yang M, Blanchard DC. Infralimbic D1 receptor agonist effects on spontaneous novelty exploration and anxiety-like defensive responding in CD-1 mice. Behav Brain Res. 2004;152(1):67–79. doi:10.1016/j.bbr.2003.09.035.

    CAS  PubMed  Google Scholar 

  44. Wall PM, Blanchard RJ, Yang M, Blanchard DC. Infralimbic D2 receptor influences on anxiety-like behavior and active memory/attention in CD-1 mice. Prog Neuro-Psychopharmacol Biol Psychiatry. 2003;27(3):395–410. doi:10.1016/S0278-5846(02)00356-1.

    Article  CAS  Google Scholar 

  45. Thompson BL, Levitt P, Stanwood GD. Prenatal cocaine exposure specifically alters spontaneous alternation behavior. Behav Brain Res. 2005;164(1):107–16.

    Article  CAS  PubMed  Google Scholar 

  46. Bielsky IF, Hu SB, Ren X, Terwilliger EF, Young LJ. The V1a vasopressin receptor is necessary and sufficient for normal social recognition: a gene replacement study. Neuron. 2005;47(4):503–13. doi:10.1016/j.neuron.2005.06.031.

    Article  CAS  PubMed  Google Scholar 

  47. Ferguson JN, Young LJ, Hearn EF, Matzuk MM, Insel TR, Winslow JT. Social amnesia in mice lacking the oxytocin gene. Nat Genet. 2000;25(3):284–8. doi:10.1038/77040.

    Article  CAS  PubMed  Google Scholar 

  48. Ferkin MH, Li HZ. A battery of olfactory-based screens for phenotyping the social and sexual behaviors of mice. Physiol Behav. 2005;85(4):489–99. doi:10.1016/j.physbeh.2005.05.014.

    Article  CAS  PubMed  Google Scholar 

  49. Moy SS, Nadler JJ, PEREZ A, Barbaro RP, Johns JM, Magnuson TR, et al. Sociability and preference for social novelty in five inbred strains: an approach to assess autistic-like behavior in mice. Genes Brain Behav. 2004;3(5):287–302.

    Article  CAS  PubMed  Google Scholar 

  50. Gutierrez H, Dolcet X, Tolcos M, Davies A. HGF regulates the development of cortical pyramidal dendrites. Development. 2004;131(15):3717–26.

    Article  CAS  PubMed  Google Scholar 

  51. Maski KP, Jeste SS, Spence SJ. Common neurological co-morbidities in autism spectrum disorders. Curr Opin Pediatr. 2011;23(6):609–15. doi:10.1097/MOP.0b013e32834c9282.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  52. Bauman ML. Medical comorbidities in autism: challenges to diagnosis and treatment. Neurotherapeutics : J American Soc Experimental NeuroTherapeutics. 2010;7(3):320–7. doi:10.1016/j.nurt.2010.06.001.

    Article  Google Scholar 

  53. Croen LA, Zerbo O, Qian Y, Massolo ML, Rich S, Sidney S, et al. The health status of adults on the autism spectrum. Autism : Int Journal Res Pract. 2015. doi:10.1177/1362361315577517.

    Google Scholar 

  54. Wohr M, Silverman JL, Scattoni ML, Turner SM, Harris MJ, Saxena R, et al. Developmental delays and reduced pup ultrasonic vocalizations but normal sociability in mice lacking the postsynaptic cell adhesion protein neuroligin2. Behav Brain Res. 2013;251:50–64. doi:10.1016/j.bbr.2012.07.024.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  55. Pagani JH, Williams Avram SK, Cui Z, Song J, Mezey E, Senerth JM, et al. Raphe serotonin neuron-specific oxytocin receptor knockout reduces aggression without affecting anxiety-like behavior in male mice only. Genes Brain Behav. 2015;14(2):167–76. doi:10.1111/gbb.12202.

    Article  CAS  PubMed  Google Scholar 

  56. Mosienko V, Beis D, Alenina N, Wohr M. Reduced isolation-induced pup ultrasonic communication in mouse pups lacking brain serotonin. Molecular Autism. 2015;6:13. doi:10.1186/s13229-015-0003-6.

    Article  PubMed Central  PubMed  Google Scholar 

  57. Joeyen-Waldorf J, Edgar N, Sibille E. The roles of sex and serotonin transporter levels in age- and stress-related emotionality in mice. Brain Res. 2009;1286:84–93. doi:10.1016/j.brainres.2009.06.079.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  58. Bi W, Yan J, Shi X, Yuva-Paylor LA, Antalffy BA, Goldman A, et al. Rai1 deficiency in mice causes learning impairment and motor dysfunction, whereas Rai1 heterozygous mice display minimal behavioral phenotypes. Hum Mol Genet. 2007;16(15):1802–13. doi:10.1093/hmg/ddm128.

    Article  CAS  PubMed  Google Scholar 

  59. de Rezende VB, Rosa DV, Comim CM, Magno LA, Rodrigues AL, Vidigal P, et al. NCS-1 deficiency causes anxiety and depressive-like behavior with impaired non-aversive memory in mice. Physiol Behav. 2014;130:91–8. doi:10.1016/j.physbeh.2014.03.005.

    Article  PubMed  Google Scholar 

  60. Bai J, Ramos RL, Ackman JB, Thomas AM, Lee RV, LoTurco JJ. RNAi reveals doublecortin is required for radial migration in rat neocortex. Nat Neurosci. 2003;6(12):1277–83. doi:10.1038/nn1153.

    Article  CAS  PubMed  Google Scholar 

  61. Corbo JC, Deuel TA, Long JM, LaPorte P, Tsai E, Wynshaw-Boris A, et al. Doublecortin is required in mice for lamination of the hippocampus but not the neocortex. J Neurosci. 2002;22(17):7548–57.

    CAS  PubMed  Google Scholar 

  62. Sorge RE, Martin LJ, Isbester KA, Sotocinal SG, Rosen S, Tuttle AH, et al. Olfactory exposure to males, including men, causes stress and related analgesia in rodents. Nat Methods. 2014;1–6.

  63. Spencer CM, Alekseyenko O, Hamilton SM, Thomas AM, Serysheva E, Yuva-Paylor LA, et al. Modifying behavioral phenotypes in Fmr1KO mice: genetic background differences reveal autistic-like responses. Autism Res. 2011;4(1):40–56.

    Article  PubMed Central  PubMed  Google Scholar 

  64. Jiang Y, Ehlers M. Modeling autism by SHANK gene mutations in mice. Neuron. 2013;78:8–27.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  65. Diamond DM, Campbell AM, Park CR, Halonen J, Zoladz PR. The temporal dynamics model of emotional memory processing: a synthesis on the neurobiological basis of stress-induced amnesia, flashbulb and traumatic memories, and the Yerkes-Dodson law. Neural Plasticity. 2007;2007:60803. doi:10.1155/2007/60803.

    Article  PubMed Central  PubMed  Google Scholar 

  66. Halpin B. Effects of arousal level on olfactory sensitivity. Percept Mot Skills. 1978;46(3 Pt 2):1095–102. doi:10.2466/pms.1978.46.3c.1095.

    Article  CAS  PubMed  Google Scholar 

  67. Mattay VS, Goldberg TE, Fera F, Hariri AR, Tessitore A, Egan MF, et al. Catechol O-methyltransferase val158-met genotype and individual variation in the brain response to amphetamine. Proc Natl Acad Sci U S A. 2003;100(10):6186–91. doi:10.1073/pnas.0931309100.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  68. Cools R, D’Esposito M. Inverted-U-shaped dopamine actions on human working memory and cognitive control. Biol Psychiatry. 2011;69(12):e113–25. doi:10.1016/j.biopsych.2011.03.028.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  69. Diamond DM, Bennett MC, Fleshner M, Rose GM. Inverted-U relationship between the level of peripheral corticosterone and the magnitude of hippocampal primed burst potentiation. Hippocampus. 1992;2(4):421–30. doi:10.1002/hipo.450020409.

    Article  CAS  PubMed  Google Scholar 

  70. Lemmon MA, Schlessinger J. Cell signaling by receptor tyrosine kinases. Cell. 2010;141(7):1117–34.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  71. Berg JM, Geschwind DH. Autism genetics: searching for specificity and convergence. Genome Biol. 2012;13(7):247. doi:10.1186/gb4034.

    Article  PubMed Central  PubMed  Google Scholar 

  72. Levitt P, Campbell DB. The genetic and neurobiologic compass points toward common signaling dysfunctions in autism spectrum disorders. J Clin Invest. 2009;119(4):747–54. doi:10.1172/JCI37934.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  73. Sheng L, Ding X, Ferguson M, McCallister M, Rhoades R, Maguire M, et al. Prenatal polycyclic aromatic hydrocarbon exposure leads to behavioral deficits and downregulation of receptor tyrosine kinase. MET Toxicological Sci. 2010;118(2):625–34.

    Article  CAS  Google Scholar 

  74. Volk HE, Kerin T, Lurmann F, Hertz-Picciotto I, McConnell R, Campbell DB. Autism spectrum disorder: interaction of air pollution with the MET receptor tyrosine kinase gene. Epidemiology. 2014;25(1):44–7. doi:10.1097/EDE.0000000000000030.

    Article  PubMed Central  PubMed  Google Scholar 

  75. Wu HH, Levitt P. Prenatal expression of MET receptor tyrosine kinase in the fetal mouse dorsal raphe nuclei and the visceral motor/sensory brainstem. Dev Neurosci. 2013;35(1):1–16. doi:10.1159/000346367.

    Article  PubMed Central  PubMed  Google Scholar 

Download references

Acknowledgements

This research was supported by NIH grant MH067842 (PL) and a grant from the Simons Foundation for Autism Research Initiative (PL). The authors thank Williams Rodriguez and Amanda Whipple for their excellent technical assistance. We also thank Drs. Kathie Eagleson, Allison Knoll, and Daniel Campbell for their helpful comments during the studies and in writing the manuscript.

Author information

Authors and Affiliations

  1. Chan Division of Occupational Science and Occupational Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, 90089, USA

    Barbara L. Thompson

  2. Institute for the Developing Mind, Children’s Hospital of Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90027, USA

    Barbara L. Thompson & Pat Levitt

  3. Department of Pediatrics, Children’s Hospital of Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90027, USA

    Barbara L. Thompson & Pat Levitt

Authors
  1. Barbara L. Thompson
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pat Levitt
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Barbara L. Thompson.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

BT carried out the behavioral studies, helped conceive the study, participated in its design and coordination, and drafted the manuscript. PL conceived of the study, participated in its design and coordination, and helped draft the manuscript. Both authors read and approved the final manuscript.

Additional file

Additional file 1:

Met protein reduction in Met fx/+ /Nestin cre heterozygous mice. Representative blots of tissue homogenates for P21 frontal cortex were prepared for Western blots to examine MET expression according to Judson [11] with modifications. Note the reduction in the mature Met receptor (145 kd band) in Metfx/+/Nestincre Het mice compared to WT. Reduction was consistent and replicated in more than 10 mice per line.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Thompson, B.L., Levitt, P. Complete or partial reduction of the Met receptor tyrosine kinase in distinct circuits differentially impacts mouse behavior. J Neurodevelop Disord 7, 35 (2015). https://doi.org/10.1186/s11689-015-9131-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s11689-015-9131-8

Keywords

Journal of Neurodevelopmental Disorders

ISSN: 1866-1955

Contact us