Literature DB >> 26523156

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

Barbara L Thompson1, Pat Levitt2.   

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.

Entities:  

Keywords:  Autism; Behavior; Fear learning; Gene dose; Met; Mouse; Phenotype

Year:  2015        PMID: 26523156      PMCID: PMC4628780          DOI: 10.1186/s11689-015-9131-8

Source DB:  PubMed          Journal:  J Neurodev Disord        ISSN: 1866-1947            Impact factor:   4.025


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 driver line [31] was used to delete Met from neurons arising in the dorsal pallium and the Nestin 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/Emx1 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 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/Emx1). Conditional Met/Nestin 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/Nestin). All breeding lines Met, Metfx/+/Emx1cre, and Met/Nestin were back-crossed onto the C57BL/6J background (purchased from Jackson Laboratory) for greater than 10 generations, and their progeny (i.e., Met/Emx1 (knockout (KO)), Met/Emx1 (heterozygous (Het)), Met/Nestin (KO), Met/Nestin (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/Nestin cohorts, with KO and Het. Our behavioral battery assessment of the Met/Emx1 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. 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. 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. Mice were placed in the center of the maze, facing an open arm and provided 5 min to freely explore the maze. 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]. Allentown microVent wide rat cages, 39 cm long × 28.5 cm wide × 19 cm high, were used. 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. 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]. 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. 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. 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. 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. 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. 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. 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. 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. 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/Emx1, Met/Nestincre, and Met/Nestincre mice were tested in contextual fear conditioning. Met/Nestincre and Met/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. 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. 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. 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/Emx1 line and the Met/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/Emx1 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

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

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

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

WTMetfx/fx/Emx1cre KO F or t Statistic p value
Activity chamber
Genotype, F (1, 51) = 12.26 p < 0.05
Total distance traveled(cm)3317.67 ± 218.982339.74 ± 175.11Time, F (5, 255) = 4.308 p < 0.001
Interaction, F (5, 255) = 3.184 p < 0.01
Steady speed rotarod
Genotype, F (1, 52) = 4.249 p < 0.05
Average latency to fall(sec)20.0185 ± 2.5828.481 ± 3.19Trial, F (9, 468) = 18.99 p < 0.0001
Interaction, F (9, 468) = 1.063 p > 0.05
Accelerating rotarod
Genotype, F (1, 12) = 0.017 p > 0.05
Average latency to fall(sec)151.43 ± 19.82148.10 ± 16.14Trial, F (2, 24) = 15.35 p < 0.0001
Interaction, F (2, 24) = 0.024 p > 0.05
T-maze
% SA54.701 ± 1.67947.4956 ± 2.401 t 51 = 2.475 p < 0.05
% AAR35.063 ± 1.55438.576 ± 1.599 t 51 = −1.576 p > 0.05
% SAR3.891 ± 0.6665.301 ± 0.907 t 51 = −1.410 p > 0.05
#arm entries35.852 ± 2.45629.154 ± 1.859 t 51 = 2.162 p < 0.05
Marble burying (#)7.100 ± 1.5679.200 ± 1.756 t 18 = 0.8923 p > 0.05
EPM entries (#)
Genotype, F (1, 32) = 0.2539 p > 0.05
Closed arms9.188 ± 1.6978.882 ± 1.364Arm entry, F (1, 32) = 65.93 p < 0.05
Open arms1.706 ± 0.8030.5882 ± 0.298Interaction, F (1, 32) = 0.2081 p > 0.05
EPM arm duration (%)
Genotype, F (1, 32) = 0.3463 p > 0.05
Closed arms88.882 ± 3.16986.863 ± 5.017Arm duration, F (1, 32) = 220.8 p < 0.0001
Open arms4.3137 ± 1.5053.000 ± 1.649Interaction, F (1, 32) = 0.2508 p > 0.05
Sociability (sec)
Genotype, F (1, 52) = 1.463 p > 0.05
Side with mouse312.897 ± 14.864317.225 ± 11.721Chamber side, F (1, 52) = 74.25 p < 0.05
Side with empty cup185.271 ± 12.428162.44 ± 11.885Interaction, F (1, 52) = 0.6864 p > 0.05
Social novelty (sec)
Genotype, F (1, 52) = 0.001 p > 0.05
Familiar mouse side227.609 ± 13.819235.362 ± 17.602Chamber side, F (1, 52) = 1.545 p > 0.05
Novel mouse side259.723 ± 14.579252.667 ± 14.533Interaction, F (1, 52) = 0.1387 p > 0.05
Sociability (sec)
Genotype, F (1, 52) = 0.005652 p > 0.05
Cup with mouse62.795 ± 4.65360.152 ± 5.095Cup, F (1, 52) = 214.6 p < 0.05
Empty cup11.818 ± 1.60612.645 ± 1.254Interaction, F (1, 52) = 0.2665 p > 0.05
Social novelty (sec)
Genotype, F (1, 52) = 0.02144 p > 0.05
Cup with familiar mouse23.087 ± 3.23421.624 ± 2.801Cup, F (1, 52) = 63.83 p < 0.05
Cup with novel mouse46.756 ± 5.32946.817 ± 4.221Interaction, F (1, 52) = 0.06198 p > 0.05
Contextual fear (%)
Baseline0.04976 ± 0.04970.3007 ± 0.1955Genotype, F (1, 31) = 0.6584 p > 0.05
Training28.73 ± 3.264932.72 ± 2.6444Trial, F (2, 62) = 110.5 p < 0.0001
Test29.04 ± 3.295430.81 ± 3.4346Interaction, F (2, 62) = 0.3224 p > 0.05
Behavioral characterization of WT and Metfx/fx/Emx1cre KO mice Met/Emx1 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

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

Locomotion in the activity chamber. Compared to their WT littermates, Met /Emx1 KO animals were hypoactive in the activity chamber (*p < 0.005) Met/Emx1 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. There was no anxiety-like nor repetitive behaviors exhibited by Met/Emx1 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/Emx1 KO animals showed significant impairment in spontaneous alternation, t51 = 2.475, p < 0.05 (Fig. 3a). However, neither alternate arm returns nor same arm returns were significantly different between groups, t51 = −1.576, p > 0.05, and t51 = −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, t51 = 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

Spontaneous alternation in the T-maze. a Met /Emx1 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 /Emx1 KO animals also displayed reduced exploration in the T-maze compared to WT animals (*p < 0.05)

Spontaneous alternation in the T-maze. a Met /Emx1 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 /Emx1 KO animals also displayed reduced exploration in the T-maze compared to WT animals (*p < 0.05)

Sociability and social novelty preference

Overall, there were no differences in either sociability scores or in social novelty preference scores between Met/Emx1 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. 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) or homozygous (Met) null for Met in peripheral and central neural structures were tested in the behavioral battery described above. In contrast to the Met/Emx1 KO mice, a two-way repeated measures ANOVA revealed no significant differences between any of the Nestin-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

WTMetfx/+/Nestincre HetMetfx/fx/Nestincre KO F Statistic p value
Activity chamber
Genotype, F (2, 55) = 2.491 p > 0.05
Total distance traveled(cm)2807.3 ± 197.93445.5 ± 236.02842.9 ± 140.5Time, F (5, 275) = 18.09 p < 0.0001
Interaction, F (5, 275) = 1.410 p > 0.05
Steady speed rotarod
Genotype, F (2, 55) = 1.971 p > 0.05
Latency to fall(sec)27.417 ± 2.63514.271 ± 2.01620.033 ± 3.363Trial, F (9, 495) = 9.686 p < 0.0001
Interaction, F (9, 495) = 1.002 p > 0.05
Accelerating rotarod
Genotype, F (2, 17) = 0.033 p > 0.05
Latency to fall(sec)150.39 ± 15.80155.49 ± 14.76148.38 ± 14.71Trial, F (2, 34) = 18.50 p < 0.0001
Interaction, F (2, 34) = 1.737 p > 0.05
T-maze
% SA44.837 ± 2.45649.408 ± 2.56850.113 ± 2.181 F (2, 53) = 1.417 p > 0.05
% AAR36.794 ± 2.11431.852 ± 1.35631.123 ± 2.096 F (2, 53) = 2.408 p > 0.05
% SAR7.354 ± 1.10117.840 ± 1.1988.192 ± 1.170 F (2, 53) = 0.1350 p > 0.05
#arm entries27.963 ± 1.77830.429 ± 2.46733.333 ± 2.131 F (2, 53) = 1.742 p > 0.05
Marble burying (#)8 ± 1.07610 ± 1.7427.0 ± 1.366 F (2, 53) = 0.6750 p > 0.05
EPM entries (#)
Genotype, F (2, 54) = 1.490 p > 0.05
Closed arms9.5 ± 0.94611.21 ± 1.0859.8 ± 1.147Arm entries, F (1, 54) = 147.8 p < 0.0001
Open arms1.75 ± 0.4133.21 ± 0.5942.4 ± 0.523Interaction, F (2, 54) = 0.06371 p > 0.05
EPM duration (%)
Genotype, F (2, 54) = 0.0 p > 0.05
Closed arms81.037 ± 2.72563.268 ± 5.70175.057 ± 3.494Arm duration, F (2, 108) = 228.1 p < 0.0001
Open arms8.102 ± 2.27613.523 ± 5.6288.736 ± 2.077Interaction, F (2, 108) = 4.299 p < 0.005
Sociability (sec)
Genotype, F (2, 53) = 1.032 p > 0.05
Side with mouse335.257 ± 12.743340.71 ± 11.666310.944 ± 13.768Chamber side, F (2, 106) = 197.6 p < 0.0001
Side with empty cup165.806 ± 10.710144.05 ± 10.953199.303 ± 14.887Interaction, F (2, 106) = 2.493 p < 0.05
Social novelty (sec)
Genotype, F (2, 53) = 0.4669 p > 0.05
Familiar mouse side239.276 ± 15.473275.184 ± 20.999239.899 ± 24.126Chamber side, F (2, 106) = 47.53 p < 0.0001
Novel mouse side256.915 ± 14.165213.617 ± 17.351256.977 ± 24.069Interaction, F (2, 106) = 1.174 p > 0.05
Sociability (sec)
Genotype, F (2, 53) = 0.7821 p > 0.05
Cup with mouse76.390 ± 5.72272.092 ± 5.53364.901 ± 5.795Cup time, F (1, 53) = 212.2 p < 0.0001
Empty cup13.486 ± 1.58912.605 ± 2.81614.391 ± 2.338Interaction, F (2, 53) = 0.9274 p > 0.05
Social novelty (sec)
Genotype, F (2, 53) = 0.2960 p > 0.05
Cup with familiar mouse25.686 ± 3.22427.324 ± 3.36225.807 ± 3.938Cup time, F (1, 53) = 23.81 p < 0.0001
Cup with novel Mouse46.11 ± 3.85838.358 ± 4.9541.836 ± 4.558Interaction, F (2, 53) = 0.7666 p > 0.05
Cue fear training (%)
Genotype, F (2, 21) = 1.206 p > 0.05
Average freezing27.681 ± 3.62120.959 ± 9.09024.956 ± 2.421Trial, F (4, 84) = 31.76 p < 0.0001
Interaction, F (4, 84) = 0.8341 p > 0.05
Cue fear context test (%)
Average freezing25.501 ± 2.77821.132 ± 6.48524.408 ± 4.978 F (2, 21) = 0.201 p > 0.05
Cue fear cue test (%)
Genotype, F (2, 21) = 3.156 p > 0.05
Average freezing61.120 ± 1.06272.072 ± 2.47878.351 ± 2.758Trial, F (9, 189) = 1.398 p > 0.05
Interaction, F (9, 189) = 0.9551 p > 0.05
Cue fear extinction 1 (%)
Genotype, F (2, 21) = 1.032 p > 0.05
Average freezing47.999 ± 1.51560.181 ± 2.21956.860 ± 2.118Trial, F (9, 189) = 1.975 p < 0.05
Interaction, F (9, 189) = 0.6945 p > 0.05
Extinction 2
Genotype, F (2, 21) = 0.9524 p > 0.05
Average freezing34.572 ± 1.96740.725 ± 3.19645.103 ± 1.575Trial, F (9, 189) = 1.480 p > 0.05
Interaction, F (9, 189) = 1.196 p > 0.05
Extinction 3
Genotype, F (2, 21) = 0.2070 p > 0.05
Average freezing30.900 ± 2.51329.381 ± 1.75436.167 ± 1.686Trial, F (9, 189) = 1.026 p > 0.05
Interaction, F (9, 189) = 1.180 p > 0.05
Behavioral characterization of WT, Metfx/+/Nestincre Het, and Metfx/fx/Nestincre KO mice 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. Whereas the Met/Emx1 KO mice exhibited activity differences compared to WT, a two-way repeated measures ANOVA revealed no significant differences between any of the Nestin-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. 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/Emx1 KO mice, there was a significant interaction between genotype and arm location, p < 0.005. A Tukey’s post hoc analysis revealed Met/Nestin Het was significantly different from WT in both the closed arm and center time, with the Met/Nestin 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

Elevated plus maze performance. Met /Nestin 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

Elevated plus maze performance. Met /Nestin 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 A one-way ANOVA revealed no significant differences in total number of marbles buried between genotypes, p > 0.05 (Table 2). Distinct from the Met/Emx1 KO mice, a one-way ANOVA found no differences in spontaneous alternation for any of the Nestin-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. 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/Nestin KO animals spent significantly more time in the chamber with an empty wire cup than the Met/Nestin 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

Sociability in the three-chamber task. While all animals demonstrated sociability (more time in chamber with stranger mouse than empty cup), Met /Nestin KO mice spent significantly more time in the chamber with the empty wire cup compared to Met /Nestin 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

Sociability in the three-chamber task. While all animals demonstrated sociability (more time in chamber with stranger mouse than empty cup), Met /Nestin KO mice spent significantly more time in the chamber with the empty wire cup compared to Met /Nestin 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 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. In contrast to the Met/Emx1 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/Nestin Het mice exhibited significantly impaired freezing during contextual fear training compared to WT (p < 0.05), while Met/Nestin KO animals display a non-significant trend toward reduced freezing. Additionally, Tukey’s multiple comparison test also revealed that both the Met/Nestin Het and Met/Nestin KO animals showed significantly blunted freezing during the retention test compared to WT, p < 0.05.
Fig. 6

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

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

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 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 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/Emx1 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/Nestin 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/Nestin Het animals compared to the full KO or WT was unexpected. Het mice exhibited disruptions in both fear learning and memory, whereas the Met/Nestin 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/Emx1 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 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/Nestin Het mice, which express approximately 50 % of MET protein (Additional file 1), fail to exhibit compensatory mechanisms that may occur in complete Met/Nestin 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

Theoretical model of Met gene dose effect on behavioral disruption. Our data indicate that intermediate expression of Met (Met /Nestin Het) resulted in significant behavioral deficits while the absence of Met (Met /Nestin 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

Theoretical model of Met gene dose effect on behavioral disruption. Our data indicate that intermediate expression of Met (Met /Nestin Het) resulted in significant behavioral deficits while the absence of Met (Met /Nestin 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 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/Emx1 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.
  74 in total

Review 1.  The neurobiological basis of spontaneous alternation.

Authors:  Robert Lalonde
Journal:  Neurosci Biobehav Rev       Date:  2002-01       Impact factor: 8.989

2.  Hepatocyte growth factor/scatter factor is an axonal chemoattractant and a neurotrophic factor for spinal motor neurons.

Authors:  A Ebens; K Brose; E D Leonardo; M G Hanson; F Bladt; C Birchmeier; B A Barres; M Tessier-Lavigne
Journal:  Neuron       Date:  1996-12       Impact factor: 17.173

3.  Behavioural and pharmacological relevance of stroke-prone spontaneously hypertensive rats as an animal model of a developmental disorder.

Authors:  K-i Ueno; H Togashi; K Mori; M Matsumoto; S Ohashi; A Hoshino; T Fujita; H Saito; M Minami; M Yoshioka
Journal:  Behav Pharmacol       Date:  2002-02       Impact factor: 2.293

4.  Prenatal cocaine exposure specifically alters spontaneous alternation behavior.

Authors:  Barbara L Thompson; Pat Levitt; Gregg D Stanwood
Journal:  Behav Brain Res       Date:  2005-10-14       Impact factor: 3.332

Review 5.  Cell signaling by receptor tyrosine kinases.

Authors:  Mark A Lemmon; Joseph Schlessinger
Journal:  Cell       Date:  2010-06-25       Impact factor: 41.582

6.  Autism risk gene MET variation and cortical thickness in typically developing children and adolescents.

Authors:  Alexis Hedrick; Yohan Lee; Gregory L Wallace; Deanna Greenstein; Liv Clasen; Jay N Giedd; Armin Raznahan
Journal:  Autism Res       Date:  2012-10-24       Impact factor: 5.216

7.  Infralimbic D1 receptor agonist effects on spontaneous novelty exploration and anxiety-like defensive responding in CD-1 mice.

Authors:  P M Wall; R J Blanchard; C Markham; M Yang; D C Blanchard
Journal:  Behav Brain Res       Date:  2004-06-04       Impact factor: 3.332

8.  HGF regulates the development of cortical pyramidal dendrites.

Authors:  Humberto Gutierrez; Xavier Dolcet; Mary Tolcos; Alun Davies
Journal:  Development       Date:  2004-06-30       Impact factor: 6.868

9.  Disruption of cerebral cortex MET signaling in autism spectrum disorder.

Authors:  Daniel B Campbell; Rosanna D'Oronzio; Krassi Garbett; Philip J Ebert; Karoly Mirnics; Pat Levitt; Antonio M Persico
Journal:  Ann Neurol       Date:  2007-09       Impact factor: 10.422

10.  Doublecortin is required in mice for lamination of the hippocampus but not the neocortex.

Authors:  Joseph C Corbo; Thomas A Deuel; Jeffrey M Long; Patricia LaPorte; Elena Tsai; Anthony Wynshaw-Boris; Christopher A Walsh
Journal:  J Neurosci       Date:  2002-09-01       Impact factor: 6.167

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  12 in total

1.  Biological roles of hepatocyte growth factor-Met signaling from genetically modified animals.

Authors:  Takashi Kato
Journal:  Biomed Rep       Date:  2017-10-18

2.  Receptor Tyrosine Kinase MET Interactome and Neurodevelopmental Disorder Partners at the Developing Synapse.

Authors:  Zhihui Xie; Jing Li; Jonathan Baker; Kathie L Eagleson; Marcelo P Coba; Pat Levitt
Journal:  Biol Psychiatry       Date:  2016-02-26       Impact factor: 13.382

Review 3.  The Pleiotropic MET Receptor Network: Circuit Development and the Neural-Medical Interface of Autism.

Authors:  Kathie L Eagleson; Zhihui Xie; Pat Levitt
Journal:  Biol Psychiatry       Date:  2016-09-15       Impact factor: 13.382

Review 4.  Control of cortical synapse development and plasticity by MET receptor tyrosine kinase, a genetic risk factor for autism.

Authors:  Xiaokuang Ma; Shenfeng Qiu
Journal:  J Neurosci Res       Date:  2019-11-19       Impact factor: 4.164

5.  Disruption of MET Receptor Tyrosine Kinase, an Autism Risk Factor, Impairs Developmental Synaptic Plasticity in the Hippocampus.

Authors:  Xiaokuang Ma; Ke Chen; Zhongming Lu; Mariel Piechowicz; Qiang Liu; Jie Wu; Shenfeng Qiu
Journal:  Dev Neurobiol       Date:  2018-10-21       Impact factor: 3.964

6.  Conditional knockout of MET receptor tyrosine kinase in cortical excitatory neurons leads to enhanced learning and memory in young adult mice but early cognitive decline in older adult mice.

Authors:  Baomei Xia; Jing Wei; Xiaokuang Ma; Antoine Nehme; Katerina Liong; Yuehua Cui; Chang Chen; Amelia Gallitano; Deveroux Ferguson; Shenfeng Qiu
Journal:  Neurobiol Learn Mem       Date:  2021-01-29       Impact factor: 2.877

Review 7.  Translational Magnetic Resonance Imaging in Autism Spectrum Disorder From the Mouse Model to Human.

Authors:  Tomokazu Tsurugizawa
Journal:  Front Neurosci       Date:  2022-05-02       Impact factor: 4.677

8.  Differential impact of Met receptor gene interaction with early-life stress on neuronal morphology and behavior in mice.

Authors:  Hanke Heun-Johnson; Pat Levitt
Journal:  Neurobiol Stress       Date:  2017-11-26

9.  Early-Life Stress Paradigm Transiently Alters Maternal Behavior, Dam-Pup Interactions, and Offspring Vocalizations in Mice.

Authors:  Hanke Heun-Johnson; Pat Levitt
Journal:  Front Behav Neurosci       Date:  2016-07-05       Impact factor: 3.558

10.  Quantitative trait locus mapping and analysis of heritable variation in affiliative social behavior and co-occurring traits.

Authors:  A T Knoll; K Jiang; P Levitt
Journal:  Genes Brain Behav       Date:  2017-12-06       Impact factor: 3.449

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