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Nature. Author manuscript; available in PMC Apr 3, 2013.
Published in final edited form as:
PMCID: PMC3615424
NIHMSID: NIHMS384647
Autistic-like behavior and cerebellar dysfunction in Purkinje cell Tsc1 mutant mice
Peter T. Tsai,1 Court Hull,2* YunXiang Chu,2* Emily Greene-Colozzi,1 Abbey R. Sadowski,1 Jarrett M. Leech,1 Jason Steinberg,1 Jacqueline N. Crawley,3 Wade G. Regehr,2 and Mustafa Sahin1
1 The F.M. Kirby Neurobiology Center, Department of Neurology, Children's Hospital Boston, Harvard Medical School, Boston, Massachusetts, USA.
2 Department of Neurobiology, Harvard Medical School, Boston, Massachusetts, USA.
3 Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute of Mental Health, NIH, Bethesda, MD, USA.
*these authors contributed equally to this work.
Correspondence and requests for materials should be addressed to ; mustafa.sahin/at/childrens.harvard.edu or ; peter.tsai/at/childrens.harvard.edu.
Autism spectrum disorders (ASDs) are highly prevalent neurodevelopmental disorders1, but the underlying pathogenesis remains poorly understood. Recent studies have implicated the cerebellum in these disorders with post-mortem studies in ASD patients demonstrating cerebellar Purkinje cell (PC) loss2,3, while isolated cerebellar injury has been associated with a higher incidence of ASDs4. However, the extent of cerebellar contribution to the pathogenesis of ASDs remains unclear. Tuberous Sclerosis Complex (TSC) is a genetic disorder with high rates of comorbid ASDs5 that results from mutation of either TSC1 or TSC2, whose protein products dimerize and negatively regulate mTOR signaling. TSC is an intriguing model to investigate the cerebellar contribution to the underlying pathogenesis of ASDs, as recent studies in TSC patients demonstrate cerebellar pathology6 and correlate cerebellar pathology with increased ASD symptomatology7,8. TSC patients with ASDs also display hypermetabolism in deep cerebellar structures on functional imaging when compared to TSC patients without ASDs9. However, to date, Tsc1's roles and the sequelae of Tsc1 dysfunction in the cerebellum have not been investigated. Here we show that both heterozygous and homozygous loss of Tsc1 in mouse cerebellar PCs results autistic-like behaviors, including abnormal social interaction, repetitive behavior, and vocalizations, in addition to decreased PC excitability. Treatment of mutants with the mTOR inhibitor, rapamycin, prevented the pathological and behavioral deficits. These findings demonstrate novel roles for Tsc1 in PC function and define, for the first time, a molecular basis for a cerebellar contribution to cognitive disorders such as autism.
To evaluate Tsc1's role in cerebellar PCs, we generated mice with Tsc1 deleted in cerebellar PCs (L7Cre;Tsc1flox/+ (het) or L7Cre;Tsc1flox/flox(mutant))10. Cre expression is high in PCs with expression noted by post natal day (P)611. Tsc1+/+ (WT), L7Cre;Tsc1+/+ (L7Cre), Tsc1flox/flox (Flox), het, and mutant mice did not show reduced survival, and weights were comparable across genotypes, unlike the severe phenotype of neuronal or glial Tsc mutants (Figure Supplemental (S)1)12.
To insure that TSC1 function was impaired in PCs, we evaluated staining of phospho-S6 (pS6) – a downstream effector of mTOR signaling. We expected TSC1 dysfunction to result in increased mTOR activity and indeed detected increased pS6 staining in het and mutant PCs (Figures S2-4). To assess the specificity of Cre-mediated recombination, we crossed L7Cre and Rosa26 reporter mice and found only infrequent, scattered recombination in non-cerebellar areas as previously described (Figure S5)11. We also examined pS6 staining in other brain regions but found no differences between mutants and controls, except in cerebellar PCs (Figure S6).
One of the most consistent pathologic findings in post-mortem studies of ASD patients is reduced cerebellar PC numbers2. In the mutant cerebellum, while basic cellular architecture was maintained in adult mice, the PC layer was abnormal with increased soma area and reduced PC numbers when compared to control or het littermates (Figure 1A, S7). To investigate why PCs were decreased in mutants, we quantified PC numbers throughout development. Decreased cell numbers were first noted at 2 months of age with further reduction by 4 months of age, a reduction not seen in hets (Figure 1B). As these findings suggested cell loss, we investigated markers of apoptosis and found increased TUNEL and cleaved caspase 3 staining in mutant PCs at 7-8 weeks (Figure 1C, S8-9). Recently, neuronal stress in the cerebellum has been implicated in ASD pathogenesis13 while studies have demonstrated critical roles for the TSC/mTOR pathway in mediating neuronal stress responses14,15. To investigate whether similar mechanisms were involved in Tsc1 mutant PC death, we evaluated markers for both ER (GRP78) and oxidative (Heme Oxygenase 1) stress and found significantly elevated levels of both markers (Figure S9).
Figure 1
Figure 1
PC Tsc1 mutants display reduced PC numbers and abnormal PC morphology
As TSC-mTOR signaling plays important roles in neuronal morphology/function16,17, we also investigated whether Tsc1 loss resulted in morphological changes in PCs at 4 weeks. TSC has known roles in the regulation of cell size17,18, and PC soma area was significantly increased in mutant, but not het, mice (Figure 1D, S10). TSC has also been implicated in regulating dendritic spine numbers19, and we found increased spine density on het and mutant PC dendrites (Figure 1D, E). Interestingly, decreased spine density has been reported in hippocampal and cortical neurons with Tsc loss17,19,20, suggesting diverse mechanisms underlying TSC1/2's regulation of dendritic spines. We also found numerous axonal varicosities and abnormal axonal collaterals in mutants (Figure S11), consistent with known roles for TSC in regulating axonal morphology16,21.
To investigate whether PC Tsc1 mutants might demonstrate abnormal behaviors found in ASDs, we first evaluated social interaction, using a three chambered assay of social approach and preference for social novelty. We found social impairment in both het and mutant animals with no significant differences found between time spent in the chamber or interacting with the novel mouse versus novel object (Figure 2A). Subsequently, in a social novelty paradigm, while control animals spent significantly more time in the chamber and in close interaction with the novel animal, het, and mutant animals displayed no significant preference for social novelty by either measure (Figure 2B). We further tested whether mutants would have impaired social interaction in male – female interactions and observed significant reductions in mutant interaction time compared with controls (Figure S12).
Figure 2
Figure 2
PC Tsc1 hets and mutants display autistic-like behaviors
With the cerebellum's role in motor functions, we investigated whether motor deficits contributed to social impairment. Mutants’ motor activity was indistinguishable from littermates until approximately 7-8 weeks of age when mutants displayed initial signs of ataxia. Ataxia progressed and by four months there were marked changes in gait parameters (Figure S13). Hets, however, displayed no ataxia (Figure S13) and locomotion during social testing and open field testing was not significantly different between genotypes (Figure S14-15), suggesting that motor impairments were not responsible for observed social deficits.
In rodents, social interaction largely depends on olfactory cues. We observed comparable time spent investigating three non-social olfactory cues – water, almond extract, and banana extract (Figure S16), indicating that olfactory function in mutants is intact. However, consistent with observed social impairment phenotypes, het and mutant mice demonstrated reduced investigation of social odors compared to controls, suggesting that impaired discrimination of social olfactory cues contributed to social deficits in mutants.
ASD patients also display repetitive behaviors and cognitive, behavioral inflexibility. To model the perseverative thinking and cognitive inflexibility exhibited by patients with ASDs, we tested animals in a reversal learning paradigm using a water T maze. Mutant animals demonstrated similar acquisition learning of a submerged, escape platform location (days 1-3) to control littermates (Figure 2C, S17), using two measures of learning performance – correct trials and trials needed before 5 consecutive correct trials. However, when the escape platform location was reversed, mutant animals demonstrated significantly impaired learning of the new platform location. We also examined repetitive behavior in a repetitive grooming task and found significantly increased self-grooming rates in hets and mutants (Figure 2D).
ASD patients also demonstrate deficits in communication. Murine pups use ultrasonic vocalizations (USV) to communicate with their mothers, and abnormal mother-pup communication has recently been demonstrated in Tsc2+/- mice22. We evaluated USV from P5-12 and, similar to reported ASD mouse models23, found increased vocalizations in both hets and mutants (Figure 2E). Consistent with roles for Tsc1 in regulating these early phenotypes, pS6 levels were elevated by P7 in mutant PCs (Figure S3). Motor deficits are also found in over 50% of patients with ASDs. To evaluate whether mutants have impaired motor learning, we evaluated mutant animals prior to ataxia onset on the accelerating rotarod and found significantly impaired motor learning in mutants (Figure S18).
The changes in PC morphology, combined with previous reports that Tsc1 loss can alter synaptic properties17,20, suggested that synaptic inputs to PCs might also be affected. PCs receive a single, strong climbing fiber (CF) input and many weak granule cell-parallel fiber (PF) inputs (Figure 3A). However, we found no difference in the amplitude of single fiber CF inputs between mutant and littermate controls (Figure 3B) at P28. In control animals, when synapses are stimulated twice in rapid succession, CF synapses depress, whereas PF synapses facilitate, consistent with the high and low release probabilities of these synapses, respectively (Figure 3B, left). The same characteristic plasticity was observed in mutants (Figure 3B, right). We also stimulated PFs, which produce both a direct excitatory short-latency PF EPSC and a disynaptic IPSC that arises from PF activation of molecular layer interneurons (Figure 3C, left). There was a trend towards a reduction in the ratio of the amplitudes of the EPSCs and IPSCs recorded in PCs, but it was not statistically significant (Figure 3C, right). Although it is difficult to exclude a subtle effect on synaptic properties, these results suggest that in spite of morphological differences, synaptic function in mutants appears normal.
Figure 3
Figure 3
PC excitability is reduced in PC Tsc1 hets and mutants, but no significant difference in synaptic inputs to PCs is apparent
Previous studies of Tsc1 have also focused on neurons that are quiescent in the absence of excitatory input, whereas PCs fire spontaneous action potentials even in the absence of synaptic inputs. Because PC firing rate is thought to be critical for encoding cerebellar output in deep cerebellar nuclei (DCN)24, we examined the intrinsic excitability of PCs using extracellular recordings, and found a significantly lower, graded spontaneous spiking rate in hets and mutants (Figure 3D, left). Moreover, also in graded fashion, current injection evoked fewer action potentials in het and mutant PCs (Figure 3E). A plot of firing frequency versus injected current shows that het and mutant PCs were significantly less excitable than controls (Figure 3E, right). Injection of small hyperpolarizing currents resulted in smaller voltage changes in mutant and het PCs suggesting a decrease in the effective input resistance (Figure S19A), which has been described previously for hippocampal neurons17, likely contributed to the reduced excitability of PCs in mutant and het animals. By 6 weeks of age there was an even more profound reduction in excitability in mutant mice (Figure S19B). Hence, despite receiving seemingly normal functioning synaptic inputs, the output of the cerebellar cortex of het and mutant animals appears to be strongly reduced, both tonically and in response to incoming excitatory drive. Our findings implicate reduced PC excitability as a potential mechanism underlying the abnormal behaviors in PC Tsc1 mice, consistent with clinical observations of impaired cerebellar function in ASD patients9,25.
To evaluate whether the abnormal phenotypes seen in PC Tsc1 mice were modifiable as demonstrated in other models of increased mTOR signaling12,19,26, we treated animals with the mTOR inhibitor, rapamycin, starting at P7. Whereas vehicle treatment resulted in identical phenotypes to untreated cohorts, rapamycin treatment prevented the development of pathologic deficits in mutant animals, with mutant soma size and PC numbers indistinguishable from controls (Figure 4A, S20).
Figure 4
Figure 4
Rapamycin treatment prevents pathologic and behavior abnormalities in PC Tsc1 mutant mice
We subsequently evaluated whether the abnormal behaviors could also be rescued with rapamycin treatment. In vehicle treated mice, behavioral phenotypes were identical to untreated cohorts (Figure 4B-C, S21-23); however, rapamycin treatment ameliorated the motor phenotypes seen in mutant animals in gait testing and the rotarod (Figure S21, S24). Rapamycin treatment also prevented deficits in the water T Maze with no significant differences seen between rapamycin treated mutants and controls in both acquisition and reversal learning (Figure 4B, S22). In addition, following rapamycin treatment, mutants displayed comparable social behaviors to controls in both social approach and social novelty assays (Figure 4C, S23). Thus, rapamycin prevented both pathologic and behavioral phenotypes in Tsc1 PC mutants, supporting the possibility of a therapeutic role for mTOR inhibition.
Our study demonstrates critical, novel roles for the TSC-mTOR pathway in cerebellar PCs. We find that mice with homozygous loss of Tsc1 in PCs (mutant) demonstrated social impairment, restrictive behavior, and abnormal vocalizations – representative of the three core deficits in ASDs. Mutants also displayed pathologic features found in ASD post-mortem studies with reduced PC numbers and evidence of increased neuronal stress. While PC loss has been reported in postmortem studies of ASD patients, several lines of evidence suggest that PC death cannot fully explain the abnormal behaviors seen in PC Tsc1 mice. Prior to PC death, mutants displayed abnormal vocalizations and motor learning impairments. In addition, mice with heterozygous loss of Tsc1 displayed no evidence of PC loss yet displayed autistic-like behaviors.
In this study, we also demonstrate that loss of Tsc1 from cerebellar PCs is sufficient to result in abnormal autistic-like behaviors. These findings implicate the cerebellum in the neural circuitry mediating core features of autism. The cerebellum has been previously suggested to play roles in social interaction27 while cerebellar abnormalities are associated with ASDs as well as cognitive and behavioral disturbances28. How the cerebellum modulates the abnormal behaviors of autism remains a topic of intense investigation. Autism has been proposed to be a disorder of abnormally distributed networks29. The cerebellum, via the DCN, is connected to these networks and cortical areas implicated in ASDs. Akin to its role in motor coordination, the cerebellum has been proposed to modulate these cognitive networks, with dysfunction resulting in abnormally regulated behaviors comparable to cognitive, behavioral dysmetria30. Our data displayed markedly impaired PC excitability in both hets and mutants. As PC firing rates are critical determinants of DCN output, by affecting DCN activity, PC dysfunction could be postulated to alter these downstream neuronal networks, thereby contributing to abnormal autistic-like behaviors. Therefore, PC Tsc1 mutants should provide a valuable experimental system to investigate the effects of PC dysfunction on these neuronal networks and other mechanisms contributing to the pathogenesis of ASDs.
Mice
L7cre; Tsc1flox/flox (mutant)animals were generated by crossing L7/Pcp2-Cre (L7Cre) transgenic mice11 with floxed Tsc1 mice (Tsc1flox/flox)10 to yield L7Cre;Tsc1 flox/+ progeny. These progeny were then crossed with one another or with Tsc1flox/flox animals to yield litters consisting of control (Tsc1+/+ (WT), Tsc1flox/+, L7Cre;Tsc+/+ (L7Cre), or Tsc1flox/flox(Flox)) mice, heterozygous (L7Cre;Tsc1flox/+ (het)) mice, or mutant (L7Cre;Tsc1flox/flox (mutant)) mice. Only male animals were used for behavioral experiments except for ultrasonic vocalizations where both male and female pups were utilized in the analysis. Mice were of mixed genetic backgrounds (C57Bl/6J, 129 SvJae, BALB/cJ). During analysis, germline deletion was discovered to occur in the mouse colony at a frequency of ~5%. Genotyping for het mice would exclude inclusion of these animals in this cohort, but it is possible that a small percentage of L7Cre;Tsc1flox/- mice were included in the mutant cohort. As such, we repeated behavioral analysis in a cohort of mutant (L7Cre;Tsc1flox/flox[LFF]) mice and littermate controls and found no significant differences with the previous mutant (LFF*) cohort (Figure S25-26), and thus cohorts were combined for analysis. As behavioral data revealed comparable behavioral phenotypes between all untreated control (Tsc1+/+, Tsc1flox/flox, L7Cre;Tsc+/+) genotypes, these genotypes were pooled for behavioral studies involving rapamycin treatment. All experimental protocols were approved by the Animal Research at Children's Hospital Committee.
Behavioral Analysis
Social Interaction
Animals were tested for social interaction in the three chambered apparatus (Dold Labs) as previously described31. Time in chambers and number of crossings between chambers was recorded in an automated manner (National Instruments). Time spent interacting with the novel animal and object was recorded by the examiner with stopwatch. Animals were tested between 7-9 weeks of age. For male-female interaction, tested males were placed into an open field with control females and evaluated for male-initiated interaction over a five minute period. All behavioral assays (including social interaction) were performed by examiner blinded to genotype.
Gait Analysis
Animals were placed into the end of an apparatus 5 cm in width (preventing animals from turning around), 56 cm in length with paper placed along the entire course of the apparatus. Apparatus walls consisted of opaque material and were 15 cm in height preventing animals from looking or escaping beyond walls. Paws were painted with red (Forepaws) and black (Hindpaws) ink. Length of stride was measured from the longest stride for each trial. Stride width was also measured between hind paws at time of the longest stride. Measurements were taken from 14-16 week old animals.
Open Field
Open field testing was performed as described for 15 minute period32. Movement and time spent in center quadrants were recorded by video camera and analyzed by Noldus (Virginia) analysis software. Measurements were taken from animals aged 7-10 weeks.
Olfaction
Olfaction was tested as previously described33. Animals were presented sequentially with odors on cotton tipped applicators: first non-social, then social odors. Odors were presented in 3 consecutive trials per odorant stimulus (2 minutes/trial) in the following order: water, almond extract, banana extract, social odor 1, and lastly social odor 2. Social odors were swipes from cages containing unfamiliar, gender (male), and age matched animals. Measurements were taken from animals aged 8-12 weeks.
Grooming
After habituation, animals were observed for 10 minutes, and time spent grooming was recorded as described34. Measurements were taken from animals aged 8-12 weeks.
Water T Maze
Reversal learning was tested using the water T maze as described35. On Days 1-3, mice were given 15 trials and tasked to locate a submerged platform placed in one of the maze arms. After 15 trials on Day 3, the platform was changed to the other T arm. Mice were then tested for 15 additional trials (Reversal (R)Day1). Then for 2 subsequent days (Reversal (R)Day 2-3), mice were given 15 trials/day. Number of correct trials and number of trials required to achieve 5 consecutive correct trials were recorded. Measurements were taken from animals aged 8-12 weeks.
Ultrasonic Vocalizations
Ultrasonic Vocalizations were tested as described on postnatal days 5-1223. Pups were removed individually from their mother and placed inside a soundproof container where 3 detectors were used to monitor vocalizations for 5 minutes. Calls were recorded using Ultravox recording software (Noldus)36. Maternal genotype in all experiments was L7Cre;Tsc1flox/+.
Accelerating Rotarod
Animals were tested using the Accelerating Rotarod as described over 5 consecutive days37. Animals were tested prior to overt ataxia between 5-7 weeks of age.
Slices
Acute sagittal slices (250-300 μm thick) were prepared from the cerebellar vermis of 4 and 6 week old mutant and control littermates. Slices were cut in an ice cold artificial cerebrospinal fluid (ACSF) solution consisting of (mM): 125 NaCl, 26 NaHCO3, 1.25 NaH2PO4, 2.5 KCl, 1 MgCl2, 2 CaCl2, and 25 glucose (pH 7.3, osmolarity 310) equilibrated with 95% O2 and 5% CO2. Slices were initially incubated at 34° C for 25 minutes, and then at room temperature prior to recording in the same ACSF.
Recordings
Visually guided (infrared DIC videomicroscopy and water-immersion 40x objective) whole-cell recordings were obtained with patch pipettes (2-4 MΩ) pulled from borosilicate capillary glass (World Precision Instruments) with a Sutter P-97 horizontal puller. Electrophysiological recordings were performed at 31-33° C.
IPSCs were recorded at the EPSC reversal potential, and PF EPSCs were recorded at the IPSC reversal potential. To measure climbing fiber synaptic inputs, 500 nM NBQX was used to reduce the size of synaptic currents, and picrotoxin (20 μM) was used to block GABAergic inhibition. For experiments recorded at the EPSC reversal potential and for CF EPSCs, the internal pipette solution contained (in mM): 140 Cs-methanesulfonate, 15 HEPES, 0.5 EGTA, 2 TEA-Cl, 2 MgATP, 0.3 NaGTP, 10 phosphocreatine-tris2, 2 QX 314-Cl. pH was adjusted to 7.2 with CsOH. Membrane potentials were not corrected for the liquid junction potential. The EPSC and IPSC reversal potentials were determined in each experiment by adjusting the membrane potential until no EPSC or IPSC was evident, and was approximately +15 mV for the EPSC reversal, and -65 mV for the IPSC reversal. For current-clamp recordings, the internal solution contained (in mM): 150 K-gluconate, 3 KCl, 10 HEPES, 0.5 EGTA, 3 MgATP, 0.5 GTP, 5 phosphocreatine-tris2, and 5 phosphocreatine-Na2. pH was adjusted to 7.2 with NaOH. Current-clamp and extracellular recordings were performed in NBQX (5 μM), R-CPP (2.5 μM), and picrotoxin (20 μM) to block AMPA receptors, NMDA receptors, and GABAA receptors respectively. All drugs were purchased from Sigma-Aldrich or Tocris. Electrophysiolgical data were acquired as described previously 38.
Rapamycin Treatment
Rapamycin was dissolved in 0.25% polyethylene glycol and 0.25% tween prior to usage. Vehicle or rapamycin was administered intraperitoneally every Monday, Wednesday, and Friday with rapamycin dosed at 6 mg/kg per injection starting at P7. As behavioral data revealed comparable behavioral phenotypes between all untreated control (Tsc1+/+, Tsc1flox/flox, L7Cre;Tsc+/+) genotypes, these genotypes were pooled for behavioral studies involving rapamycin treatment.
Immunohistochemistry
Mice were perfused and post-fixed with 4% paraformaldehyde. Sections were prepared by cryostat sectioning and were stained with the following antibodies: PhosphoS6 (Cell Signaling), calbindin (Sigma, Cell Signaling), GRP78 (Stressgen), Heme Oxygenase-1 (Stressgen), Cleaved Caspase 3 (Cell Signaling). TUNEL staining was performed per manufacturer recommendations (Millipore).
Microscopy
Intracellular labeling of Purkinje cells was accomplished using recording pipettes filled with 0.05% biocytin (Tocris). Neurons in deeper portions of the Purkinje cell layer were targeted and filled for 3 min, and then the pipette was slowly withdrawn so that the cell membrane could reseal. Slices (250 μm thick) were then fixed in 4% paraformaldehyde in 0.1 M phosphate buffer for 24 hours, rinsed thoroughly in PBS, and incubated for 90 min in a PBS solution containing 0.5% Triton-X, 10% normal goat serum and streptavidin Alexa Fluor 488 conjugate (1:500, Life Technologies). Slices were then rinsed in PBS, mounted on Superfrost Plus slides (VWR International), air-dried, and cover-slipped in Vectashield mounting media (Vector Labs). Immunohistochemical studies were captured using Zeiss Confocal LSM710. Images were processed and morphology quantified using ImageJ software with studies performed by examiner blinded to genotypes.
Statistics
Data are reported as mean ± SEM, and statistical analysis was carried out with GraphPad Prism software using one- and two-way ANOVA with Bonferroni's multiple comparison tests for post hoc analysis unless otherwise specified.
Supplementary Material
ACKNOWLEDGEMENTS
We thank Gabriel Corfas, Michela Fagiolini, Paul Rosenberg, and Samuel Goldman for assistance with behavioral experiments. We are grateful to Christopher Walsh, Larry Benowitz, and members of the Sahin laboratory for critical reading of the manuscript. We are grateful to Matt Gregas for advice regarding statistical analysis. P.T.T. received support from the Developmental Neurology Training Grant (T32 NS007473), American Academy of Neurology, and the Nancy Lurie Marks Family Foundation. This work and M.S. are supported in part by the NIH (R01 NS58956), the John Merck Scholars Fund, Autism Speaks, Nancy Lurie Marks Family Foundation, Children's Hospital Boston Translational Research Program, and the Children's Hospital Boston Mental Retardation and Developmental Disabilities Research Center (P30 HD18655). J.N.C. is supported by the Intramural Research Program, NIMH. W.G.R. is supported by the NIH (R01NS032405) and the Simons Foundation (SFARI 232304). Y.X.C. is supported by the Howard Hughes Medical Institute Medical Research Fellowship.
Financial Statement
M.S. has served as a consultant and site-PI for Novartis. He is also the PI for an investigator-initiated clinical trial partially funded by Novartis.
Footnotes
AUTHOR CONTRIBUTIONS
P.T.T. and M.S. conceived of and designed the experimental approach, performed experiments, and prepared the manuscript. C.H. and Y.X.C. designed and performed cerebellar slice experiments and assisted in manuscript preparation. E.G., A.S., and J.L. assisted with behavioral experiments and statistical analysis. J.S. contributed to experimental quantification. J.N.C. provided training for behavioral phenotyping and contributed to behavioral experimental design and analysis. W.G.R. and M.S. supervised the project and contributed to experimental design and analysis.
1. Prevalence of autism spectrum disorders - Autism and Developmental Disabilities Monitoring Network, United States, 2006. MMWR Surveill Summ. 2009;58:1–20. [PubMed]
2. Bauman ML, Kemper TL. Neuroanatomic observations of the brain in autism: a review and future directions. Int J Dev Neurosci. 2005;23:183–187. [PubMed]
3. Amaral DG, Schumann CM, Nordahl CW. Neuroanatomy of autism. Trends Neurosci. 2008;31:137–145. [PubMed]
4. Limperopoulos C, et al. Does cerebellar injury in premature infants contribute to the high prevalence of long-term cognitive, learning, and behavioral disability in survivors? Pediatrics. 2007;120:584–593. [PubMed]
5. Jeste SS, Sahin M, Bolton P, Ploubidis GB, Humphrey A. Characterization of autism in young children with tuberous sclerosis complex. J Child Neurol. 2008;23:520–525. [PubMed]
6. Ertan G, Arulrajah S, Tekes A, Jordan L, Huisman TA. Cerebellar abnormality in children and young adults with tuberous sclerosis complex: MR and diffusion weighted imaging findings. J Neuroradiol. 2010;37:231–238. [PubMed]
7. Weber AM, Egelhoff JC, McKellop JM, Franz DN. Autism and the cerebellum: evidence from tuberous sclerosis. J Autism Dev Disord. 2000;30:511–517. [PubMed]
8. Eluvathingal TJ, et al. Cerebellar lesions in tuberous sclerosis complex: neurobehavioral and neuroimaging correlates. J Child Neurol. 2006;21:846–851. [PubMed]
9. Asano E, et al. Autism in tuberous sclerosis complex is related to both cortical and subcortical dysfunction. Neurology. 2001;57:1269–1277. [PubMed]
10. Kwiatkowski DJ, et al. A mouse model of TSC1 reveals sex-dependent lethality from liver hemangiomas, and up-regulation of p70S6 kinase activity in Tsc1 null cells. Hum Mol Genet. 2002;11:525–534. [PubMed]
11. Barski JJ, Dethleffsen K, Meyer M. Cre recombinase expression in cerebellar Purkinje cells. Genesis. 2000;28:93–98. [PubMed]
12. Tsai P, Sahin M. Mechanisms of neurocognitive dysfunction and therapeutic considerations in tuberous sclerosis complex. Curr Opin Neurol. 2011;24:106–113. [PMC free article] [PubMed]
13. Sajdel-Sulkowska EM, Xu M, Koibuchi N. Increase in cerebellar neurotrophin-3 and oxidative stress markers in autism. Cerebellum. 2009;8:366–372. [PubMed]
14. Di Nardo A, et al. Tuberous sclerosis complex activity is required to control neuronal stress responses in an mTOR-dependent manner. J Neurosci. 2009;29:5926–5937. [PMC free article] [PubMed]
15. Reith RM, Way S, McKenna J, 3rd, Haines K, Gambello MJ. Loss of the tuberous sclerosis complex protein tuberin causes Purkinje cell degeneration. Neurobiol Dis. 2011;43:113–122. [PMC free article] [PubMed]
16. Nie D, et al. Tsc2-Rheb signaling regulates EphA-mediated axon guidance. Nat Neurosci. 2010;13:163–172. [PMC free article] [PubMed]
17. Tavazoie SF, Alvarez VA, Ridenour DA, Kwiatkowski DJ, Sabatini BL. Regulation of neuronal morphology and function by the tumor suppressors Tsc1 and Tsc2. Nat Neurosci. 2005;8:1727–1734. [PubMed]
18. Meikle L, et al. A mouse model of tuberous sclerosis: neuronal loss of Tsc1 causes dysplastic and ectopic neurons, reduced myelination, seizure activity, and limited survival. J Neurosci. 2007;27:5546–5558. [PubMed]
19. Meikle L, et al. Response of a neuronal model of tuberous sclerosis to mammalian target of rapamycin (mTOR) inhibitors: effects on mTORC1 and Akt signaling lead to improved survival and function. J Neurosci. 2008;28:5422–5432. [PMC free article] [PubMed]
20. Bateup HS, Takasaki KT, Saulnier JL, Denefrio CL, Sabatini BL. Loss of Tsc1 In Vivo Impairs Hippocampal mGluR-LTD and Increases Excitatory Synaptic Function. J Neurosci. 2011;31:8862–8869. [PMC free article] [PubMed]
21. Choi YJ, et al. Tuberous sclerosis complex proteins control axon formation. Genes Dev. 2008;22:2485–2495. [PubMed]
22. Young DM, Schenk AK, Yang SB, Jan YN, Jan LY. Altered ultrasonic vocalizations in a tuberous sclerosis mouse model of autism. Proc Natl Acad Sci U S A. 2010;107:11074–11079. [PubMed]
23. Scattoni ML, Crawley J, Ricceri L. Ultrasonic vocalizations: a tool for behavioural phenotyping of mouse models of neurodevelopmental disorders. Neurosci Biobehav Rev. 2009;33:508–515. [PMC free article] [PubMed]
24. De Zeeuw CI, et al. Spatiotemporal firing patterns in the cerebellum. Nat Rev Neurosci. 2011;12:327–344. [PubMed]
25. Ryu YH, et al. Perfusion impairments in infantile autism on technetium-99m ethyl cysteinate dimer brain single-photon emission tomography: comparison with findings on magnetic resonance imaging. Eur J Nucl Med. 1999;26:253–259. [PubMed]
26. Zhou J, et al. Pharmacological inhibition of mTORC1 suppresses anatomical, cellular, and behavioral abnormalities in neural-specific Pten knock-out mice. J Neurosci. 2009;29:1773–1783. [PubMed]
27. Insel TR, Fernald RD. How the brain processes social information: searching for the social brain. Annu Rev Neurosci. 2004;27:697–722. [PubMed]
28. Steinlin M. Cerebellar disorders in childhood: cognitive problems. Cerebellum. 2008;7:607–610. [PubMed]
29. Muller RA. The study of autism as a distributed disorder. Ment Retard Dev Disabil Res Rev. 2007;13:85–95. [PMC free article] [PubMed]
30. Schmahmann JD. Disorders of the cerebellum: ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome. J Neuropsychiatry Clin Neurosci. 2004;16:367–378. [PubMed]
31. Yang M, Silverman JL, Crawley JN. Automated three-chambered social approach task for mice. Curr Protoc Neurosci. 2011 Chapter 8, Unit 8 26. [PubMed]
32. Holmes A, et al. Behavioral characterization of dopamine D5 receptor null mutant mice. Behav Neurosci. 2001;115:1129–1144. [PubMed]
33. Yang M, Crawley JN. Simple behavioral assessment of mouse olfaction. Curr Protoc Neurosci. 2009 Chapter 8, Unit 8 24. [PMC free article] [PubMed]
34. Silverman JL, et al. Sociability and motor functions in Shank1 mutant mice. Brain Res. 2011;1380:120–137. [PMC free article] [PubMed]
35. Bednar I, et al. Selective nicotinic receptor consequences in APP(SWE) transgenic mice. Mol Cell Neurosci. 2002;20:354–365. [PubMed]
36. Kurejova M, et al. An improved behavioural assay demonstrates that ultrasound vocalizations constitute a reliable indicator of chronic cancer pain and neuropathic pain. Mol Pain. 2010;6:18. [PMC free article] [PubMed]
37. Buitrago MM, Schulz JB, Dichgans J, Luft AR. Short and long-term motor skill learning in an accelerated rotarod training paradigm. Neurobiol Learn Mem. 2004;81:211–216. [PubMed]
38. Hull C, Regehr WG. Identification of an inhibitory circuit that regulates cerebellar Golgi cell activity. Neuron. 2012;73:149–158. [PMC free article] [PubMed]