Altered synaptic ultrastructure in the prefrontal cortex of Shank3-deficient rats

doi:10.21203/rs.2.20698/v2

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Altered synaptic ultrastructure in the prefrontal cortex of Shank3-deficient rats

https://doi.org/10.21203/rs.2.20698/v2

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Journal Publication

published 17 Nov, 2020

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Background

Deletion or mutations of SHANK3 lead to Phelan-McDermid syndrome and monogenic forms of autism spectrum disorder (ASD). SHANK3 encodes its eponymous scaffolding protein at excitatory glutamatergic synapses. Altered morphology of dendrites and spines in the hippocampus, cerebellum, and striatum have been associated with behavioral impairments in Shank3-deficient animal models. Given the attentional deficit in these animals, our study explored whether deficiency of Shank3 in a rat model alters neuron morphology and synaptic ultrastructure in the medial prefrontal cortex (mPFC).

Methods

We assessed dendrite and spine morphology and spine density in mPFC layer III neurons in Shank3 -homozygous knockout ( Shank3 -KO), heterozygous ( Shank3 -Het), and wild-type (WT) rats. We used electron microscopy to determine the density of asymmetric synapses in mPFC layer III excitatory neurons in these rats. We measured postsynaptic density (PSD) length, PSD area, and head diameter (HD) of spines at these synapses.

Results

Basal dendritic morphology was similar among the three genotypes. Spine density and morphology were comparable, but more thin and mushroom spines had larger head volumes in Shank3 -Het compared to WT and Shank3 -KO. All three groups had comparable synapse density and PSD length. Spine HD of total and non-perforated synapses in Shank3 -Het rats, but not Shank3 -KO rats, was significantly larger than in WT rats. The total and non-perforated PSD area was significantly larger in Shank3 -Het rats compared to Shank3 -KO rats. These findings represent preliminary evidence for synaptic ultrastructural alterations in the mPFC of rats that lack one copy of Shank3 and mimic the heterozygous loss of SHANK3 in Phelan-McDermid syndrome.

Limitations

The Shank3 deletion in the rat model we used does not affect all isoforms of the protein and would only model the effect of the mutations resulting in loss of the N-terminus of the protein. Given the higher prevalence of ASD in males, the ultrastructural study focused only on synaptic structure in male Shank3 -deficient rats.

Conclusions

We observed increased HD and PSD area in Shank3 -Het rats. These observations suggest the occurrence of altered synaptic ultrastructure in this animal model, further pointing to a key role of defective expression of the Shank3 protein in ASD and Phelan-McDermid syndrome.

Cellular & Molecular Neuroscience

autism spectrum disorder

Phelan-McDermid syndrome

synapse morphology

electron microscopy

Autism spectrum disorder (ASD) is a neurodevelopmental disorder affecting 1 in 59 children in the United States (1). Individuals diagnosed with ASD show difficulty in social interaction and communication and restrictive, repetitive behaviors from an early age (2). ASD is a common comorbid condition in individuals with Fragile X syndrome, Rett syndrome, Phelan-McDermid syndrome (PMS), and other genetic disorders (3). Studying the cellular mechanisms affected by the genes identified in these monogenic disorders has helped to understand the pathophysiology underlying ASD better (reviewed in (4)).

Deletions in chromosome 22q13, which encompasses several genes including SHANK3, cause PMS (also known as deletion 22q13.3 syndrome) (5, 6). Deletion and point mutations of SHANK3 also cause PMS (7-9) and haploinsufficiency of SHANK3 is linked to many of the neurological symptoms in subjects with PMS (7, 9-12). Children with PMS show global developmental delay, delayed or absent speech, moderate to severe intellectual disability, hypotonia, seizures, and psychiatric features including ASD, attention-deficit/hyperactivity disorder (ADHD), and bipolar disorder (6, 7, 13-16). Mutations of SHANK3 have also been identified as a major monogenic cause of ASD (17, 18).

SHANK3 encodes the SH3 and multiple ankyrin repeat domains protein 3 that belongs to a family of proteins also including Shank1 and Shank2. The Shank proteins interact with multiple other proteins, including cell adhesion proteins at the synapse, cytoskeletal proteins within the dendritic spine, and, via other scaffolding proteins, with ionotropic and metabotropic glutamate receptors (mGluRs) at the postsynaptic density (PSD) of excitatory synapses (19-22). The Shank proteins share five protein-protein interaction domains: from the N-terminus to the C-terminus, these are a multiple ankyrin repeats domain (ANK), an SRC homology domain 3 (SH3), a PSD-95/Disc Large homolog-1/Zonula occludens-1 domain (PDZ), a proline-rich cluster domain (PRC), and a sterile alpha-motif domain (SAM) (23). All three Shank family members share domain structures that are 60-90% similar except for the PRC domain (33-40%) (21). Guanylate kinase-associated protein (GKAP) bound at the PDZ domain and Homer bound at the PRC domain of Shank proteins enable recruitment of ionotropic N-methyl-D-aspartate (NMDA) receptors and mGluRs respectively to the PSD (20, 24). Shank3 also directly interacts with subunits of ionotropic amino-3-hydroxy-5-methylisoxazole-4-propionic acid (AMPA) receptors at its PDZ domain (25, 26). Shank proteins interact with PSD scaffolding proteins and cytoskeletal actin, mediated through cortactin binding at their PRC domains, to regulate the structure of dendritic spines (27). Thus, all three Shank proteins have roles in assembling and stabilizing PSD complexes and in regulating spine structure, driven by activity at the synapse (20, 28, 29) and their altered expression may contribute to the behavioral deficits in ASD and PMS.

Individuals with ASD have deficits in social communication and restricted, repetitive or unusual sensory-motor behaviors. A possible reason for the deficits in social communication and interaction shown by subjects with ASD is their difficulty understanding the emotional behavior of others (1, 2). The prefrontal cortex (PFC) is known for its role in cognitive control, coordinating memory, planning, and executive activity (30, 31). The orbitofrontal cortex in the PFC is also a major part of the network that processes empathy and social behavior (32). Structural and functional abnormalities in the PFC have been demonstrated in patients affected by ASD (33-38). As 80% of PMS patients present with ASD, the PFC could be similarly altered in PMS. Other psychiatric features seen in PMS (6, 13), including attentional deficit (39, 40), anxiety (41), bipolar disorder (42), and schizophrenia (43, 44), as well as comorbidities in ASD, such as ADHD, intellectual disability, anxiety, irritability and aggression, epilepsy, and sleep disturbances (45, 46), also implicate the PFC.

Here, we use a Shank3-deficient rat model to investigate potential dendritic and synaptic changes in the PFC caused by mutations in Shank3. The infralimbic and prelimbic cortex in the rat are generally considered to be homologous in function to the medial PFC (mPFC) in humans (47), as these regions in the rat are required for working memory tasks, attentional tasks, emotional regulation, behavioral flexibility, and forms of associative learning (48-52). Given the prominent role of Shank3 at the PSD (53, 54) as well as the synaptic plasticity deficits in the mPFC and the attentional deficit seen in this Shank3-deficient rat model (55), we hypothesized that loss of Shank3 would affect dendrite arborization, spine density and morphology, synapse density, and ultrastructure of dendritic spines in the PFC of Shank3-deficient rats.

Animals

We used the Shank3-deficient rat model created by zinc-finger nuclease technology. This rat model harbors a deletion of 68 base pairs in exon 6 of the ANK domain, generating a stop codon that truncates expression of the full-length Shank3 protein (55). A similar truncation was observed in a patient with PMS who carried a c.601–1G>A mutation in SHANK3 (56). The resulting reduction of Shank3 expression in rats causes deficits in social recognition memory and attention (55). For iontophoretic dye injections and 3D reconstruction of dendrite and spine morphology, we used both male and female rats (n=18) at 5 weeks of age, with equal number of rats of each sex and 6 rats (3 males and 3 females) of each genotype. For electron microscopy, we used male rats (n=18) at 5 weeks of age from three groups (n=6 per genotype): wild-type (WT), Shank3-heterozygous (Shank3-Het) and Shank3-homozygous knockout (Shank3-KO). Our study followed the National Institute of Health Guidelines for the Care and Use of Experimental Animals and all animal protocols were approved by the Institutional Animal Care and Use Committee at the Icahn School of Medicine at Mount Sinai.

Perfusion and tissue processing

Rats were anesthetized using 30% chloral hydrate and intracardially perfused with 1% paraformaldehyde (PFA) in phosphate buffer (PB, pH 7.4) for 2 min, followed by a fixative comprising 4% PFA and 0.125% glutaraldehyde in PB for 10 min. The brains were immediately dissected, post-fixed overnight at 4°C in 4% PFA and 0.125% glutaraldehyde in PB, and then transferred to phosphate-buffered saline (PBS) with 0.1% sodium azide at 4°C until sectioned. The brains were hemisected and the right hemisphere was cut into 250 mm-thick sections using a vibratome (VT1000S, Leica Microsystems, Buffalo Grove, IL). For electron microscopy samples, the sections were cryoprotected in a graded glycerol/PB solution after which the mPFC was microdissected into blocks that underwent cryosubstitution and low-temperature embedding as described earlier (57). Five consecutive ultrathin sections were cut at 90 nm using a diamond knife (Diatome, Hatfield, PA) on an ultramicrotome (Reichert-Jung, Depew, NY) and mounted onto a Formvar-supported slot grid (Electron Microscopy Sciences, Hatfield, PA).

Cell loading and confocal microscopy

Intracellular dye injection: Coronal sections of 250 mm thickness were incubated in 250 ng/ml 4’, 6-diamidino-2-phenylindole (DAPI, Sigma-Aldrich, St. Louis, MO) for 5 min to enable identification of the mPFC cortical layers. The sections were mounted on nitrocellulose membrane filters, immersed in ice-cold PB, and neurons in layer III of the mPFC were iontophoretically injected with 5% Lucifer Yellow (Invitrogen, Carlsbad, CA) in distilled water under a direct current of 3-8 nA until the dye filled the distal ends of the dendrites. Neurons selected for injection were spaced so as to avoid overlapping of their dendrites. Six to eleven neurons were injected per section. The sections were mounted with Fluoromount-G (Southern Biotech, Birmingham, AL) on gelatin-coated glass slides.

Reconstruction of basal dendrites: Pyramidal neurons were included for reconstruction if they were within layer III of the PFC, were completely filled, and showed intact tertiary branches within at least 50 mm of the soma. Such neurons were reconstructed in 3 dimensions under a 40x/1.3 N.A. Plan-Neofluar oil immersion objective on a Zeiss Axiophot microscope equipped with a motorized stage (Ludl Electronic Products, Hawthorne, NY), a Microfire video camera (Optronics, Tulsa, OK), and Neurolucida morphometry software (v. 11.11.3, MBF Bioscience, Williston, VT). Using Neurolucida Explorer software (MBF Bioscience), total dendritic length and number of intersections per 30-mm incremental radial distance from the soma were analyzed by the Sholl method (58).

Immunofluorescence and confocal microscopy of dendritic spines: After reconstruction of dendrites, the sections with Lucifer Yellow-filled neurons were stained by immunofluorescence to amplify the signal for confocal imaging of dendritic spines. Briefly, the slides were de-coverslipped, sections were washed in PBS and incubated at 4°C overnight in biotinylated rabbit anti-Lucifer Yellow (1:500 in PBS with 0.6% Triton X-100, A5751, ThermoFisher, Waltham, MA). After several washes in PBS, the sections were then incubated for 2 h at room temperature with streptavidin-Alexa Fluor 488 conjugate (1:500 in PBS with 0.6% Triton X-100, S32354, Invitrogen, Carlsbad, CA). The sections were washed and mounted with Fluoromount-G on gelatin-coated glass slides and dried for at least 24 h prior to imaging. To select dendritic segments, whole cells were imaged on a CLSM 780 upright microscope (Carl Zeiss Microscopy, Jena, Germany) using a 20x/0.8 M27 Plan-Apochromat objective and a Ar/Kr laser at an excitation wavelength of 488 nm. Confocal stacks were acquired at 512 x 512 pixel resolution with a Z-step of 1 mm, a pinhole setting of 1 Airy Unit, and optimal settings for gain and offset. Basal dendritic segments at 50 mm from the soma were selected for high-resolution imaging if they met the following criteria: not a primary dendrite, no overlap with other dendrites or branching that would obscure spines, not too deep in the section, and parallel or at acute angles to the coronal plane. Dendritic segments (average length = 25 mm) were imaged using a 100x/1.46 Oil DIC Plan-Apochromat objective and stacks were acquired at 512 x 512 pixel resolution with a Z-step of 0.1 mm, optical zoom of 3.3x, a pinhole setting of 1 Airy Unit, and optimal settings for gain and offset. The stacks were imaged with approximately 1 mm above and below the segment so as to fully include all spines. Three z-stacks were imaged from each neuron. Confocal stacks were deconvolved using an iterative blind deconvolution algorithm (AutoQuant X version X3.0.1, MediaCybernetics, Bethesda, MD).

Spine reconstruction and analysis: The deconvolved stacks were analyzed using Neurolucida 360 (version 2019.2.1; MBF Bioscience) to determine spine density and morphology. Neurolucida 360 allows for semi-automated reconstruction of dendrites and spines and classification of spines. Spines with their HD:neck diameter ratio less than 1.1 were classified as stubby. Thin spines had an HD:neck diameter ratio greater than 1.1 and maximum HD less than 0.35 mm. Mushroom spines had an HD:neck ratio diameter greater than 1.1 and maximum HD greater than 0.35 mm. Filopodia had length greater than 3 mm. Six rats per genotype, 6 neurons per rat, and 3 dendrites per neuron were analyzed and manually checked by a trained investigator blind to the groups, with each segment manually inspected and corrected by a second investigator. Data from the reconstructions was exported using Neurolucida Explorer (MBF Bioscience). Analysis was conducted in R, accompanied by the use of the packages readxl and writexl (59), where the data was aggregated by spine type and averaged across each cell and then each animal.

Ultrastructural analyses

Serial sections from each animal were imaged at 75 kV on an H-7000 transmission electron microscope (Hitachi High Technologies America, Clarksburg, MD) with an AMT Advantage CCD camera (Advanced Microscopy Techniques, Woburn, MA). Fourteen to 17 sets of images were collected from layers II and III in the mPFC in the five serial sections at a magnification of 17,000x. Based on a previous volume estimate of the prelimbic layer III in rats at 0.6 mm³(60), a total disector volume of 2.6 x 10^-7 mm³ from 17 sampling sites per animal would represent a sampling fraction of approximately 0.00004%. Electron micrographs were adjusted for brightness, contrast, and sharpness and morphological analysis was carried out using Photoshop CS5 (version 12.0, Adobe, San Jose, CA).

Axospinous synapses were identified by their asymmetric PSD, a clear synaptic cleft, and the presence of vesicles in the presynaptic axonal bouton. Synapses were analyzed by the disector method (61), as described in our previous studies (57, 62). Briefly, we identified synapses across two pairs of layers, the reference layer (sections one and five) and the lookup layer (sections two and four), from five serial sections and counted only the unique synapses found either in the reference layer or in the lookup layer (Fig. 1). Perforated synapses were identified by the presence of a clear gap in the middle of the PSD in any of the layers where the PSD was visible starting from the unique synapse in the second layer (Figs. 1,2). We subtracted the number of perforated synapses from that of the total synapses to obtain the number of non-perforated synapses. The disector area was 42.77 μm², and disector height was 0.18 μm; therefore, synapse density was calculated as the total number of counted synapses of each type (perforated, non-perforated, and total), from both the first and second pair of layers, divided by the total volume of the disector (7.70 μm³).

The length of the PSD and the maximal head diameter (HD) were measured starting with the unique PSDs identified in the first set of lookup layers (sections 2 and 4) and proceeding through the series either forward (from section 2) or in reverse (from section 4) (Fig. 2). For non-perforated synapses, we measured the maximal length of the PSD (Fig. 2A). For perforated synapses, we added each length of the different segments of the PSD to obtain the maximal PSD length (Fig. 2B). The HD was measured using the maximal length of the spine head parallel to the PSD (Fig. 2). The PSD length and the HD were measured in all four layers if they were visible (Fig. 2). For the HD, the largest HD among all four layers was represented as the maximal HD of the synapse (Fig. 2). Similarly, for the PSD length, only the longest PSD length was used. However, the PSD area was calculated by multiplying the PSD length with the thickness of the layer (0.09 μm) and adding together the results for each layer. The measurements of PSD length and head diameter were obtained at a resolution of 0.5 μm/137 pixels.

Statistical analysis

Genotype effects on basal dendritic length were compared using one-way analysis of variance (ANOVA) followed by Bonferroni’s multiple comparison test. Effects of genotype and distance from the soma on Sholl analysis of dendritic length and intersections were compared using two-way ANOVA followed by Bonferroni’s post hoc test. Comparisons of potential genotypic variations in density and morphology of spines and synapses were determined using one-way ANOVA corrected for multiple comparisons using the Tukey’s post hoc test. Calculations were performed and graphs plotted using GraphPad Prism (GraphPad Software, San Diego, CA). Cumulative distributions of spine head diameter and volumes were plotted in MATLAB (R2020a, MathWorks, Natick, MA), compared using Kolmogorov-Smirnov test, and corrected for multiple comparisons using the Benjamini-Hochberg test. Statistical significance was set at an a level of 0.05 and data were shown as mean ± S.E.M.

Dendritic morphology was comparable in Shank3-deficient rats and controls

Basal and apical dendrites were reconstructed from WT (Fig. 3A), Shank3-Het, (Fig. 3B) and Shank3-KO rats (Fig. 3C). As the number of complete apical dendrites from each animal was insufficient for analysis, the data on arborization and spines of apical dendrites is not included here. Basal dendrites from 6 neurons were reconstructed from each animal (Table 1).

Table 1: Summary of number of animals, neurons and spines in the confocal data by genotype

	WT	Het	KO
Animals	3 males, 3 females	3 males, 3 females	3 males, 3 females
Neurons	36 (6 each)	36 (6 each)	36 (6 each)
Total spines	10022 (1511 – 2009)	9739 (1456 – 1793)	9633 (1340 – 1828)
· Thin	7798 (1130 – 1631)	7247 (1035 – 1368)	7350 (973 – 1333)
· Stubby	1280 (159 – 287)	1710 (169 – 365)	1511 (130 – 358)
· Mushroom	707 (62 – 198)	495 (48 – 121)	547 (77 – 144)
· Filopodia	38 (0 – 14)	94 (9 – 22)	75 (3 – 27)
· Branched	199 (7 – 55)	193 (1 – 92)	150 (7 – 42)

Data shows total counts for each category, with the numbers in parentheses indicating the range.

The mean length of basal dendrites was comparable among the WT, Shank3-Het, and Shank3-KO (F_[2,15] = 2.02, p = 0.17; Fig. 3D). Furthermore, Sholl analysis at 30 mm incremental distance from the cell soma revealed no effect of genotype on dendritic length (F_[2,120] = 1.19, p = 0.31; Fig. 3E) or number of intersections (F_[2,105] = 0.23, p = 0.80; Fig. 3F) of basal dendrites.

Basal spine density and morphology were unchanged in Shank3-deficient rats

Deconvolved confocal images of basal dendritic segments (Fig. 4A) were reconstructed in three dimensions (Fig. 4B) to analyze spine density and morphology (Table 1). There was no effect of genotype on total spine density (F_[2,15] = 0.67, p = 0.53; Fig. 4C). Spine densities analyzed by the different classes of spines, whether thin (F_[2,15] = 0.44, p = 0.65; Fig. 4D), stubby (F_[2,15] = 1.49, p = 0.26; Fig. 4E), mushroom (F_[2,15] = 1.56, p = 0.24; Fig. 4F), filopodia (F_[2,15] = 2.97, p = 0.08; Fig. 4G), or branched (F_[2,15] = 0.12, p = 0.89; Fig. 4H), were also comparable among the three genotypes.

A comparison of spine HDs among the various spine classes revealed no significant effect of genotype on total (F_[2,15] = 0.56, p = 0.58; Fig. 5A), thin (F_[2,15] = 0.92, p = 0.42; Fig. 5B), stubby (F_[2,15] = 1.74, p = 0.21; Fig. 5C), mushroom (F_[2,15] = 2.07, p = 0.16; Fig. 5D), filopodia (F_[2,14] = 3.02, p = 0.08; Fig. 5E), or branched spines (F_[2,15] = 3.5, p = 0.06; Fig. 5F). Spine head volumes were also comparable among the three genotypes for total (F_[2,15] = 0.83, p = 0.46; Fig. 5G), thin (F_[2,15] = 2.08, p = 0.16; Fig. 5H), stubby (F_[2,15] = 0.23, p = 0.8; Fig. 5I), mushroom (F_[2,15] = 0.98, p = 0.4; Fig. 5J), filopodia (F_[2,14] = 1.37, p = 0.29; Fig. 5K), and branched spines (F_[2,15] = 0.94, p = 0.41; Fig. 5L).

Analysis of the cumulative frequency distribution of total spine HDs revealed that Shank3-Het and Shank3-KO rats were significantly different from the WT (p = 0.0008 and 0.0001 respectively; Fig. 6A). This difference was also evident in the HD of thin spines (both p < 0.0001; Fig. 6B). The distribution of stubby spines in Shank3-Het rats was significantly different than that in Shank3-KO (p = 0.0258; Fig. 6C). The distribution of mushroom (Fig. 6D), filopodia, and branched spine HD was comparable among the three genotypes.

Cumulative frequency distribution of total spine head volumes was significantly different in Shank3-KO rats compared to Shank3-Het and WT (both p < 0.0001; Fig. 6E). In the distribution of thin spines, Shank3-Het and Shank3-KO rats were significantly different from WT and from each other (all p < 0.0001, Fig. 6F). The distribution of stubby spines in Shank3-KO rats was significantly different from WT (p = 0.0205; Fig. 6G). Notably, the distribution of spine head volumes was shifted to the right in Shank3-Het compared to the other two genotypes for both thin (both p < 0.0001, Fig. 6F) and mushroom spines (both p < 0.0001, Fig. 6H), indicating more frequent large head volumes. There was no significant difference in the distribution of head volumes among the three genotypes for filopodia and branched spines.

Synapse density was unchanged in Shank3-deficient rats compared to controls

For quantifying synapse density, approximately 7,000 unique synapses (mean = 389 and range = 287 to 480 per animal; Table 2) were counted, with an average of 351 non-perforated and 38 perforated synapses per animal (Table 2).

Table 2: Summary of number of synapses included in EM data by genotype

	WT	Het	KO
Animals	6 males	6 males	6 males
Synapse Density
· Total	2150 (287 – 434)	2523 (387 – 448)	2336 (338 – 380)
· Non-perforated	1947 (271- 380)	2276 (348 – 406)	2099 (306 – 431)
· Perforated	203 (16 – 54)	247 (28 - 55)	237 (26 – 51)
Reconstructed synapses
· Total	1034 (155 – 194)	1213 (175 – 214)	1130 (156 – 253)
· Non-perforated	835 (128 – 153)	972 (137 – 178)	899 (127 – 202)
· Perforated	199 (17 – 55)	241 (31 – 53)	231 (26 – 51)

Data shows total counts for each category, with the numbers in parentheses indicating the range.

We did not find significant differences in total synapse density amongst Shank3-Het, Shank3-KO, or WT control rats (F_[2,15] = 2.95, p = 0.08, Fig. 7A-D). Non-perforated (Fig. 7E) and perforated synapse densities (Fig. 7F) were also comparable (F_[2,15] = 3.29, p = 0.07 and F_[2,15] = 0.54, p = 0.60, respectively) amongst the three genotypes.

Subtle changes in synaptic ultrastructure were present in Shank3 heterozygotes

In order to measure PSD length, PSD area, and HD, approximately 150 to 250 synapses were reconstructed per animal, including between 128 to 202 non-perforated and 17 to 55 perforated synapses (Table 2). There were no significant differences in total PSD length when comparing Shank3-Het, Shank3-KO, and WT rats (F_[2,15] = 2.74, p = 0.10; Fig. 8A). Additionally, the PSD lengths of non-perforated (F_[2,15] = 2.73, p = 0.10, Fig. 8B) and perforated synapses (F_[2,15] = 0.21, p = 0.81; Fig. 8C) were comparable between Shank3-deficient and WT rats.

However, maximal HD was significantly altered in the Shank3-Het group, but not in the Shank3-KO, when compared to the WT. Total HD was significantly higher (F_[2,15] = 4.08, p = 0.04) in the Shank3-Het rats compared to the WT (Fig. 8D). We also found wider (F_[2,15] = 5.67, p = 0.01) HD of non-perforated synapses in the Shank3-Het group compared to both WT and Shank3-KO rats (Fig. 8E). When we analyzed only the perforated synapses, there was no significant change in HD among the groups (F_[2,15] = 2.60, p = 0.11; Fig. 8F).

The total PSD area was greater (F_[2,15] = 4.28, p = 0.03) in the Shank3-Het rats compared to Shank3-KO (Fig. 8G). This change was evident in non-perforated synapses (F_[2,15] = 3.38 and p = 0.06 when comparing all three groups, p < 0.05 between Shank3-Het and KO; Fig. 8H), as there was no significant change in PSD area of perforated synapses among the three groups (F_[2,15] = 0.30, p = 0.75; Fig. 8I).

The interaction of Shank proteins with their various partners is regulated by several mechanisms. First, alternative exon splicing results in multiple splice variants of Shank3 in the human brain (17). Splice sites are present downstream of the SH3 and PDZ domains and within the PRC and SAM domains of Shank3 (25) and the human brain shows higher expression of exons encoding these functional regions (63). Second, Shank3 has six intragenic promoters resulting in differential expression of isoforms, named Shank3a through Shank3f, during brain development (25, 64, 65). Finally, the subcellular and tissue-specific patterns of expression and turnover of Shank isoforms during development and synaptic activity are also regulated by methylation (66-68) and ubiquitination (69).

The Shank3 rat model used here demonstrated attentional deficit and reduced hippocampus-to-mPFC signaling in both Shank3-Het and Shank3-KO rats compared to WT (55), pointing towards a synaptic deficit in the mPFC. The synaptic deficits may be due to changes in dendrite or spine morphology, altered synapse density, or decreased recruitment of proteins to the PSD that would be visible as ultrastructural changes of the PSD or spine head. We found no significant changes in complexity of basal dendrites in layer III pyramidal neurons of the mPFC of Shank3-Het and Shank3-KO rats compared to WT. Similar results were previously reported in the hippocampus of Shank3-KO mice with an exon 21 deletion (70). Other studies showed increased dendritic length and complexity in striatal medium spiny neurons of Shank3-KO mice with a deletion of exons 13-16 (71) and increased complexity in Purkinje neurons in the cerebellum of Shank3-Het mice with an exon 21 deletion (72), suggesting a brain-region or cell type-specific effect of decreased Shank3 expression on dendritic arborization. Our results show no significant change in the total density of excitatory synapses among the three experimental groups at 5 weeks of age. Although few studies have assessed synapse density per se, our results are corroborated both by our current finding of no changes in spine density and by previous reports showing no change in spine density in the neocortex of Shank3-Het mice (73) and in the hippocampus of Shank3-KO mice with an exon 21 deletion (70). However, other studies have reported a significant decrease in spine density in Shank3-deficient models compared to controls, as observed in neurons differentiated from human induced pluripotent stem cells carrying SHANK3 mutations (74), the PFC of a macaque model with deletions in exons 6 and 12 (75), the hippocampus of 5-week-old Shank3-KO rats with deletion of exons 11-21 and loss of all the Shank3 isoforms (76), the striatum (71) and the anterior cingulate cortex (77) of Shank3-KO mice lacking Shank3b following deletion of exons 13-16 containing the PDZ domain, and the cerebellum of Shank3-Het mice with an exon 21 deletion (72). However, Shank3-KO mice with an exon 4-9 deletion and loss of the Shank3a and Shank3b isoforms bearing the ANK and SH3 domains showed decreased spine density in the hippocampus at 4 weeks of age, but no change at 10 weeks (78). Shank3-KO mice with exons 4-22 deleted and a complete loss of all Shank3 isoforms and splice variants showed decreased spine density only in the striatum, not the hippocampus, at 8 weeks of age (79). In vitro studies have shown that full-length Shank3 was localized in dendritic spines, whereas a C-terminal truncated isoform was diffusely distributed in dendrites and axons (64) and the isoform length determined its effects on dendritic spine density (65). Thus, the age of the animal, the extent of Shank3 deletion, and the brain regions examined all determined whether synaptic density was altered in Shank3-deficient animals.

Dendritic spines are classified as thin, stubby, or mushroom (80) based on their length and the relative size of their head and neck, or branched when several heads originate from a single neck on the dendrite (81). The long, thin filopodia are thought to be precursors in the formation of spines (82). Spines and filopodia are highly dynamic during developmental stages and in response to stimulation (83). We did not observe any differences in the mean spine density of the various spine classes of Shank3-deficient rats compared to controls. Others have reported reduced density of mushroom spines in the anterior cingulate cortex (77) and increased thin spines in Shank3-KO mice lacking Shank3b due to deletion of exons 13-16 (84). Although mean HD and head volumes were comparable among the three genotypes in our study, the shift in distribution towards larger head volumes for thin and mushroom spines on mPFC pyramidal neurons suggests subtle ultrastructural changes due to the loss of Shank3 as a synaptic effector in glutamatergic neurons in a spine-type specific manner. Stable enlargement of the more plastic thin spines and transient enlargement of mushroom spines (85), the latter implicated in long-term memory storage, could reflect morphologically the impaired behavioral phenotypes observed in this rat model of Shank3 deficiency (55).

Synapses show different structures, with perforated or non-perforated PSDs, according to changing neurotransmission efficacy in response to activity (86, 87) and function (86-89). We did not observe any differences in density of non-perforated or perforated synapses in the PFC among the three genotypes of rats. However, in the hippocampus of 5-week old Shank3-Het mice where the ANK domain was deleted, non-perforated synapse density was unchanged but perforated synapse density was higher compared to the Shank3-KO and WT groups; this change was not present at 3 months of age (62). The observed difference in density of the perforated synapses between the two Shank3 models may be due to different effects of Shank3 in the two brain areas studied.

Maximal PSD length was not significantly changed, but HD was increased in the Shank3-Het group and not in the Shank3-KO compared to WT rats. PSD area was higher in the Shank3-Het group compared to the Shank3-KO. The PSD area was calculated using the PSD length across the series of sections where the synapse was visible. The observed change in size of the spine head could also modify the PSD area. Notably, the change in HD was only detected at the nanometer-scale resolution provided by EM, not by our confocal analysis of spine HD or volume, indicating a subtle pathological change in morphology rather than altered neuronal integrity at the cellular level. Similar to our results, PSD length and thickness were unchanged in hippocampal CA1 neurons of Shank3-KO mice with an exon 4-9 deletion (78). In a different model with a similar deletion, PSD length and area as well as HD were unchanged in the hippocampus of both Shank3-Het and Shank3-KO mice compared to WT at 5 weeks and 3 months of age (62). These results were confirmed in the hippocampus of Shank3-KO mice with exon 4-21 deletion, but in the striatum of these mice, decreased PSD length and thickness were seen at 8 weeks of age (79). Shorter and thinner PSDs were also reported in the anterior cingulate cortex of Shank3-KO with a deletion of exons 13-16 (77). Of note, the increase in total PSD area and HD that we observed was present only in the Shank3-Het rats compared to either KO or WT and no change in the synaptic ultrastructure was observed in the Shank3-KO group compared to the WT. The Shank3-Het rats carry one copy of undeleted Shank3 that can express the full-length isoforms of the protein, though at lower levels than the WT. Shank3-KO rats express no full-length Shank3 and the truncated isoforms in these animals may not be sufficient to recruit the Shank3 binding partners in the PSD that potentially compensate for this lack in the Shank3-Het rats. The Shank3-KO rats may be able to maintain the structure of dendritic spines and the PSD comparable to WT through the shorter Shank3 isoforms or by recruiting the other Shanks to the PSD. Although the ANK domain of Shank3 is deleted in our model, the synapse-targeting SAM domain as well as the major binding sites on Shank3 for recruiting the NMDA and AMPA receptors to the PSD and for binding cytoskeletal proteins essential for spine morphology are preserved in the Shank3-KO. These domains may be sufficient to maintain synaptic morphology at a level similar to that in the WT.

In the Shank3-Het rats that carry only one copy of the gene and can express full-length Shank3 together with the shorter isoforms, the other Shank family proteins may compensate for the loss of Shank3, resulting in the observed increase in size of the dendritic head and PSD area. Shank2, which shares both a homologous PRC domain and a synapse-targeting C-terminal region with Shank3 (22, 28), seems to be the better candidate to compensate for reduced Shank3 expression. Indeed, Shank2 with an intact PRC domain can rescue reduced head diameter of dendritic spines in hippocampal neurons, induced by a knockdown of all three Shank proteins (90). Overexpression of Shank1 containing the PRC domain also results in enlargement of spine head size (91). In contrast to our results, no change in head diameter and decreased spine head volume were observed in human neurons differentiated from induced pluripotent stem cells sourced from subjects with Shank3 mutations (74). Furthermore, a deletion of the ANK-SH3 domains of Shank3 reduced spine head area in mouse hippocampal neurons (53). In our Shank3-Het rat model, not only are low levels of the full-length Shank3 protein expressed, but also the shorter isoforms lacking the ANK domain but containing the PDZ domain which recruits NMDA and AMPA receptors during spine maturation (53), the PRC domain where Homer1 and cortactin bind (20, 21, 25), and the synapse-targeting SAM domain (64). Thus, overcompensation by the full-length protein recruiting the shorter Shank3 isoforms or other Shank proteins and giving an enlargement of the HD and PSD area seems probable.

PSD fractions from the neocortex of Shank3-Het and Shank3-KO rats with an exon 11-21 deletion (76) and hippocampal neurons after knockdown of four major isoforms of Shank3 in vitro show no change in Shank1 or 2 expression (92), but other compensatory mechanisms may occur in vivo in the PFC. A study in the mouse brain found that proteins interacting with Shank3 in the PFC are different from those in the hippocampus and striatum (93). PFC-specific epigenetic modifications of histones, such as higher dimethylation (94) and lower acetylation (95) in Shank3-Het mice with an exon 21 deletion and higher dimethylation in postmortem ASD brains (94), suggest a brain region-specific mechanism for regulation of protein expression. Notably, the expression of Shank3 is highest in the PFC compared to other regions in the macaque brain (75), whereas Shank3 isoforms containing ANK domain are highly expressed in the upper cortical layers, hippocampus and striatum of the mouse brain (96). Multimer formation of Shank proteins may enable their recruitment to the synapse without an overall increase in protein concentration. Shank3 forms multimers via its PRC and SAM domains (20), although these interactions remain to be proven endogenously in neurons. Interestingly, the interaction of ANK repeats and SH3 domains in Shank1 is reported to require all the repeats in the ANK domain (97) and, if this extends to Shank3, the lack of the ANK domain in Shank3 of the Shank3-KO rats could explain their difference from the Shank3-Het rats in our study. Despite these potential compensatory mechanisms for some functions when Shank3 is deficient, the presence of clinical phenotypes due to Shank3 haploinsufficiency in humans carrying SHANK3 mutations (6, 7, 9, 13) and of behavioral deficits in animal models with Shank3 deficiency (55, 73, 76, 98) suggests such compensation may not be fully effective to rescue the functional phenotype but may be able to partially preserve the ultrastructure of synapses.

Limitations:

Although the prevalence of PMS is equal in both sexes (99), ASD occurs four times more frequently in males than females (1). The ultrastructural study used only male mice to uncover synaptic changes in the mPFC relevant to both ASD and PMS. The deletion in exon 6 of the Shank3 gene would affect the N-terminal ANK domain, truncating the full-length protein, but shorter isoforms of Shank3 may still be expressed in the Shank3-Het and Shank3-KO rats. Thus, the changes observed using this rat model would more accurately reflect the effects of mutations affecting the N-terminal of the protein than those resulting from deletion of the gene and the loss of all isoforms of the protein.

The increase in PSD area and size of the spine head in the Shank3-Het rats, but not the Shank3-KO, may more accurately model synaptic changes resulting from haploinsufficiency of SHANK3 that is linked to the neurological symptoms in PMS. These changes in the mPFC at the level of synaptic ultrastructure may have implications for the attentional deficit observed in Shank3-Het rats, and also in subjects with PMS and ASD who carry mutations in SHANK3.

PMS: Phelan-McDermid syndrome

ASD: autism spectrum disorder

SHANK3: SH3 and Ankyrin binding protein 3

mPFC: medial prefrontal cortex

KO: knockout

Het: heterozygote

WT: wild-type

PSD: postsynaptic density

HD: head diameter

PFA: paraformaldehyde

PB: phosphate buffer

ANOVA: analysis of variance

GKAP: guanylate kinase-associated protein

mGluR: metabotropic glutamate receptor

ANK: Ankyrin repeats domain

SH3: SRC homology domain 3

PDZ: PSD-95/Disc Large homolog-1/Zonula occludens-1 domain

PRC: proline-rich cluster domain

SAM: sterile alpha-motif domain

NMDA: N-methyl-D-aspartate

AMPA: amino-3-hydroxy-5-methylisoxazole-4-propionic acid

Ethics approval and consent to participate: All animal studies were reviewed and approved by Institutional Animal Care and Use Committee at the Icahn School of Medicine at Mount Sinai.

Consent for publication: Not applicable.

Availability of data and materials: The datasets analyzed during this study are available from the corresponding author on reasonable request.

Competing interests: The authors declare that they have no competing interests.

Funding: This study was supported by funding from Seaver Foundation (to JDB and PRH), the Simons Foundation (Grant 345922 to PRH), the Foundation for Prader–Willi Research (to PRH and MV) and the National Institutes of Health (Grants MH093725 and MH101584 to JDB and PRH).

Authors’ contributions: SJ-D performed the analysis of EM images and wrote the initial draft of the paper. NUK acquired the EM images. DLD, BW and WGJ prepared the materials for EM and assisted with manuscript preparation. LLH performed immunohistochemistry, confocal imaging, 3D reconstruction of dendritic spines, and data analysis for Lucifer Yellow-filled neurons as well as provided critical revisions and scientific input during preparation of the manuscript. EKS performed reconstruction of dendrites in LY-filled neurons and provided scientific input during revision of the manuscript. TW wrote Python scripts to assess EM data independently, prepared MATLAB code to analyze and plot cumulative frequencies of spine morphology, and provided scientific input during revision of the paper. MMF performed R analysis on Neurolucida Explorer data and provided scientific input during revision of the manuscript. HHN and JB provided the animal model and revised the manuscript. MV performed iontophoretic dye filling and reconstruction of LY-filled neurons. MV and PRH oversaw all aspects of experimental design, data analysis and writing the manuscript. MV, PRH, JDB, and HHN designed the study. All authors read and approved the final manuscript. The opinions expressed herein are those of the authors and are not necessarily representative of those of the Uniformed Services University of the Health Sciences, the Department of Defense; or, the United States Army, Navy, or Air Force (DLD).

Acknowledgements: We are grateful to Sarah DeMoya for her assistance with the cumulative frequency analysis of the dendritic spine data. Our thanks also to Susan Tappan at MBF Bioscience for timely technical support that enabled us to complete analysis of spine data while working remotely during the COVID19 pandemic.

Authors’ information: Not applicable.

Baio J, Wiggins L, Christensen DL, Maenner MJ, Daniels J, Warren Z, et al. Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014. MMWR Surveill Summ. 2018;67(6):1-23.
American Psychiatric Association. Diagnostic and statistical Manual of Mental disorders (5th ed.). Washington, DC: American Psychiatric Publishing; 2013.
Fernandez BA, Scherer SW. Syndromic autism spectrum disorders: moving from a clinically defined to a molecularly defined approach. Dialogues Clin Neurosci. 2017;19(4):353-71.
Ramaswami G, Geschwind DH. Genetics of autism spectrum disorder. Handb Clin Neurol. 2018;147:321-9.
Wong AC, Ning Y, Flint J, Clark K, Dumanski JP, Ledbetter DH, et al. Molecular characterization of a 130-kb terminal microdeletion at 22q in a child with mild mental retardation. Am J Hum Genet. 1997;60(1):113-20.
Phelan MC, Rogers RC, Saul RA, Stapleton GA, Sweet K, McDermid H, et al. 22q13 deletion syndrome. Am J Med Genet. 2001;101(2):91-9.
Soorya L, Kolevzon A, Zweifach J, Lim T, Dobry Y, Schwartz L, et al. Prospective investigation of autism and genotype-phenotype correlations in 22q13 deletion syndrome and SHANK3 deficiency. Mol Autism. 2013;4(1):18.
Leblond CS, Nava C, Polge A, Gauthier J, Huguet G, Lumbroso S, et al. Meta-analysis of SHANK Mutations in Autism Spectrum Disorders: a gradient of severity in cognitive impairments. PLoS Genet. 2014;10(9):e1004580.
De Rubeis S, Siper PM, Durkin A, Weissman J, Muratet F, Halpern D, et al. Delineation of the genetic and clinical spectrum of Phelan-McDermid syndrome caused by SHANK3 point mutations. Mol Autism. 2018;9:31.
Bonaglia MC, Giorda R, Borgatti R, Felisari G, Gagliardi C, Selicorni A, et al. Disruption of the ProSAP2 gene in a t(12;22)(q24.1;q13.3) is associated with the 22q13.3 deletion syndrome. Am J Hum Genet. 2001;69(2):261-8.
Wilson HL, Wong AC, Shaw SR, Tse WY, Stapleton GA, Phelan MC, et al. Molecular characterisation of the 22q13 deletion syndrome supports the role of haploinsufficiency of SHANK3/PROSAP2 in the major neurological symptoms. J Med Genet. 2003;40(8):575-84.
Luciani JJ, de Mas P, Depetris D, Mignon-Ravix C, Bottani A, Prieur M, et al. Telomeric 22q13 deletions resulting from rings, simple deletions, and translocations: cytogenetic, molecular, and clinical analyses of 32 new observations. J Med Genet. 2003;40(9):690-6.
Zwanenburg RJ, Ruiter SA, van den Heuvel ER, Flapper BC, Van Ravenswaaij-Arts CM. Developmental phenotype in Phelan-McDermid (22q13.3 deletion) syndrome: a systematic and prospective study in 34 children. J Neurodev Disord. 2016;8:16.
Denayer A, Van Esch H, de Ravel T, Frijns JP, Van Buggenhout G, Vogels A, et al. Neuropsychopathology in 7 Patients with the 22q13 Deletion Syndrome: Presence of Bipolar Disorder and Progressive Loss of Skills. Mol Syndromol. 2012;3(1):14-20.
Verhoeven WM, Egger JI, Willemsen MH, de Leijer GJ, Kleefstra T. Phelan-McDermid syndrome in two adult brothers: atypical bipolar disorder as its psychopathological phenotype? Neuropsychiatr Dis Treat. 2012;8:175-9.
Vucurovic K, Landais E, Delahaigue C, Eutrope J, Schneider A, Leroy C, et al. Bipolar affective disorder and early dementia onset in a male patient with SHANK3 deletion. Eur J Med Genet. 2012;55(11):625-9.
Durand CM, Betancur C, Boeckers TM, Bockmann J, Chaste P, Fauchereau F, et al. Mutations in the gene encoding the synaptic scaffolding protein SHANK3 are associated with autism spectrum disorders. Nat Genet. 2007;39(1):25-7.
Moessner R, Marshall CR, Sutcliffe JS, Skaug J, Pinto D, Vincent J, et al. Contribution of SHANK3 mutations to autism spectrum disorder. Am J Hum Genet. 2007;81(6):1289-97.
Sheng M, Kim E. The Shank family of scaffold proteins. J Cell Sci. 2000;113 ( Pt 11):1851-6.
Naisbitt S, Kim E, Tu JC, Xiao B, Sala C, Valtschanoff J, et al. Shank, a novel family of postsynaptic density proteins that binds to the NMDA receptor/PSD-95/GKAP complex and cortactin. Neuron. 1999;23(3):569-82.
Lim S, Naisbitt S, Yoon J, Hwang JI, Suh PG, Sheng M, et al. Characterization of the Shank family of synaptic proteins. Multiple genes, alternative splicing, and differential expression in brain and development. J Biol Chem. 1999;274(41):29510-8.
Boeckers TM, Winter C, Smalla KH, Kreutz MR, Bockmann J, Seidenbecher C, et al. Proline-rich synapse-associated proteins ProSAP1 and ProSAP2 interact with synaptic proteins of the SAPAP/GKAP family. Biochem Biophys Res Commun. 1999;264(1):247-52.
Sala C, Vicidomini C, Bigi I, Mossa A, Verpelli C. Shank synaptic scaffold proteins: keys to understanding the pathogenesis of autism and other synaptic disorders. J Neurochem. 2015;135(5):849-58.
Tu JC, Xiao B, Naisbitt S, Yuan JP, Petralia RS, Brakeman P, et al. Coupling of mGluR/Homer and PSD-95 complexes by the Shank family of postsynaptic density proteins. Neuron. 1999;23(3):583-92.
Jiang YH, Ehlers MD. Modeling autism by SHANK gene mutations in mice. Neuron. 2013;78(1):8-27.
Uchino S, Wada H, Honda S, Nakamura Y, Ondo Y, Uchiyama T, et al. Direct interaction of post-synaptic density-95/Dlg/ZO-1 domain-containing synaptic molecule Shank3 with GluR1 alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor. J Neurochem. 2006;97(4):1203-14.
Du Y, Weed SA, Xiong WC, Marshall TD, Parsons JT. Identification of a novel cortactin SH3 domain-binding protein and its localization to growth cones of cultured neurons. Mol Cell Biol. 1998;18(10):5838-51.
Boeckers TM, Liedtke T, Spilker C, Dresbach T, Bockmann J, Kreutz MR, et al. C-terminal synaptic targeting elements for postsynaptic density proteins ProSAP1/Shank2 and ProSAP2/Shank3. J Neurochem. 2005;92(3):519-24.
Tao-Cheng JH, Dosemeci A, Gallant PE, Smith C, Reese T. Activity induced changes in the distribution of Shanks at hippocampal synapses. Neuroscience. 2010;168(1):11-7.
Fuster JM. The prefrontal cortex--an update: time is of the essence. Neuron. 2001;30(2):319-33.
Miller EK, Cohen JD. An integrative theory of prefrontal cortex function. Annu Rev Neurosci. 2001;24:167-202.
Liakakis G, Nickel J, Seitz RJ. Diversity of the inferior frontal gyrus--a meta-analysis of neuroimaging studies. Behav Brain Res. 2011;225(1):341-7.
Ariza J, Rogers H, Hashemi E, Noctor SC, Martinez-Cerdeno V. The Number of Chandelier and Basket Cells Are Differentially Decreased in Prefrontal Cortex in Autism. Cereb Cortex. 2018;28(2):411-20.
Courchesne E, Mouton PR, Calhoun ME, Semendeferi K, Ahrens-Barbeau C, Hallet MJ, et al. Neuron number and size in prefrontal cortex of children with autism. JAMA. 2011;306(18):2001-10.
Hashemi E, Ariza J, Rogers H, Noctor SC, Martinez-Cerdeno V. The Number of Parvalbumin-Expressing Interneurons Is Decreased in the Prefrontal Cortex in Autism. Cereb Cortex. 2018;28(2):690.
Jacot-Descombes S, Uppal N, Wicinski B, Santos M, Schmeidler J, Giannakopoulos P, et al. Decreased pyramidal neuron size in Brodmann areas 44 and 45 in patients with autism. Acta Neuropathol. 2012;124(1):67-79.
Hazlett HC, Poe MD, Gerig G, Styner M, Chappell C, Smith RG, et al. Early brain overgrowth in autism associated with an increase in cortical surface area before age 2 years. Arch Gen Psychiatry. 2011;68(5):467-76.
Schumann CM, Bloss CS, Barnes CC, Wideman GM, Carper RA, Akshoomoff N, et al. Longitudinal magnetic resonance imaging study of cortical development through early childhood in autism. J Neurosci. 2010;30(12):4419-27.
McGaughy J, Ross RS, Eichenbaum H. Noradrenergic, but not cholinergic, deafferentation of prefrontal cortex impairs attentional set-shifting. Neuroscience. 2008;153(1):63-71.
Pezze M, McGarrity S, Mason R, Fone KC, Bast T. Too little and too much: hypoactivation and disinhibition of medial prefrontal cortex cause attentional deficits. J Neurosci. 2014;34(23):7931-46.
Park J, Moghaddam B. Impact of anxiety on prefrontal cortex encoding of cognitive flexibility. Neuroscience. 2017;345:193-202.
Wang J, Qu S, Wang W, Guo L, Zhang K, Chang S, et al. A combined analysis of genome-wide expression profiling of bipolar disorder in human prefrontal cortex. J Psychiatr Res. 2016;82:23-9.
Selemon LD, Zecevic N. Schizophrenia: a tale of two critical periods for prefrontal cortical development. Transl Psychiatry. 2015;5:e623.
Zhou Y, Fan L, Qiu C, Jiang T. Prefrontal cortex and the dysconnectivity hypothesis of schizophrenia. Neurosci Bull. 2015;31(2):207-19.
Lord C, Elsabbagh M, Baird G, Veenstra-Vanderweele J. Autism spectrum disorder. Lancet. 2018;392(10146):508-20.
Aldinger KA, Lane CJ, Veenstra-VanderWeele J, Levitt P. Patterns of Risk for Multiple Co-Occurring Medical Conditions Replicate Across Distinct Cohorts of Children with Autism Spectrum Disorder. Autism Res. 2015;8(6):771-81.
Laubach M, Amarante LM, Swanson K, White SR. What, If Anything, Is Rodent Prefrontal Cortex? eNeuro. 2018;5(5).
Laroche S, Davis S, Jay TM. Plasticity at hippocampal to prefrontal cortex synapses: dual roles in working memory and consolidation. Hippocampus. 2000;10(4):438-46.
Heidbreder CA, Groenewegen HJ. The medial prefrontal cortex in the rat: evidence for a dorso-ventral distinction based upon functional and anatomical characteristics. Neurosci Biobehav Rev. 2003;27(6):555-79.
Quirk GJ, Beer JS. Prefrontal involvement in the regulation of emotion: convergence of rat and human studies. Curr Opin Neurobiol. 2006;16(6):723-7.
Vertes RP. Interactions among the medial prefrontal cortex, hippocampus and midline thalamus in emotional and cognitive processing in the rat. Neuroscience. 2006;142(1):1-20.
Kesner RP, Churchwell JC. An analysis of rat prefrontal cortex in mediating executive function. Neurobiol Learn Mem. 2011;96(3):417-31.
Roussignol G, Ango F, Romorini S, Tu JC, Sala C, Worley PF, et al. Shank expression is sufficient to induce functional dendritic spine synapses in aspiny neurons. J Neurosci. 2005;25(14):3560-70.
Baron MK, Boeckers TM, Vaida B, Faham S, Gingery M, Sawaya MR, et al. An architectural framework that may lie at the core of the postsynaptic density. Science. 2006;311(5760):531-5.
Harony-Nicolas H, Kay M, du Hoffmann J, Klein ME, Bozdagi-Gunal O, Riad M, et al. Oxytocin improves behavioral and electrophysiological deficits in a novel Shank3-deficient rat. Elife. 2017;6.
Hamdan FF, Gauthier J, Araki Y, Lin DT, Yoshizawa Y, Higashi K, et al. Excess of de novo deleterious mutations in genes associated with glutamatergic systems in nonsyndromic intellectual disability. Am J Hum Genet. 2011;88(3):306-16.
Bloss EB, Puri R, Yuk F, Punsoni M, Hara Y, Janssen WG, et al. Morphological and molecular changes in aging rat prelimbic prefrontal cortical synapses. Neurobiol Aging. 2013;34(1):200-10.
Sholl DA. Dendritic organization in the neurons of the visual and motor cortices of the cat. J Anat. 1953;87(4):387-406.
Ooms J. writexl: Export Data Frames to Excel 'xlsx' Format. R package version 1.2 2019 [Available from: https://CRAN.R-project.org/package=writexl.
Madeira MD, Pereira A, Cadete-Leite A, Paula-Barbosa MM. Estimates of volumes and pyramidal cell numbers in the prelimbic subarea of the prefrontal cortex in experimental hypothyroid rats. J Anat. 1990;171:41-56.
Sterio DC. The unbiased estimation of number and sizes of arbitrary particles using the disector. J Microsc. 1984;134(Pt 2):127-36.
Uppal N, Puri R, Yuk F, Janssen WG, Bozdagi-Gunal O, Harony-Nicolas H, et al. Ultrastructural analyses in the hippocampus CA1 field in Shank3-deficient mice. Mol Autism. 2015;6:41.
Ziats CA, Grosvenor LP, Sarasua SM, Thurm AE, Swedo SE, Mahfouz A, et al. Functional genomics analysis of Phelan-McDermid syndrome 22q13 region during human neurodevelopment. PLoS One. 2019;14(3):e0213921.
Waga C, Asano H, Sanagi T, Suzuki E, Nakamura Y, Tsuchiya A, et al. Identification of two novel Shank3 transcripts in the developing mouse neocortex. J Neurochem. 2014;128(2):280-93.
Wang X, Xu Q, Bey AL, Lee Y, Jiang YH. Transcriptional and functional complexity of Shank3 provides a molecular framework to understand the phenotypic heterogeneity of SHANK3 causing autism and Shank3 mutant mice. Mol Autism. 2014;5:30.
Ching TT, Maunakea AK, Jun P, Hong C, Zardo G, Pinkel D, et al. Epigenome analyses using BAC microarrays identify evolutionary conservation of tissue-specific methylation of SHANK3. Nat Genet. 2005;37(6):645-51.
Maunakea AK, Nagarajan RP, Bilenky M, Ballinger TJ, D'Souza C, Fouse SD, et al. Conserved role of intragenic DNA methylation in regulating alternative promoters. Nature. 2010;466(7303):253-7.
Zhu L, Wang X, Li XL, Towers A, Cao X, Wang P, et al. Epigenetic dysregulation of SHANK3 in brain tissues from individuals with autism spectrum disorders. Hum Mol Genet. 2014;23(6):1563-78.
Ehlers MD. Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system. Nat Neurosci. 2003;6(3):231-42.
Kouser M, Speed HE, Dewey CM, Reimers JM, Widman AJ, Gupta N, et al. Loss of predominant Shank3 isoforms results in hippocampus-dependent impairments in behavior and synaptic transmission. J Neurosci. 2013;33(47):18448-68.
Peca J, Feliciano C, Ting JT, Wang W, Wells MF, Venkatraman TN, et al. Shank3 mutant mice display autistic-like behaviours and striatal dysfunction. Nature. 2011;472(7344):437-42.
Kloth AD, Badura A, Li A, Cherskov A, Connolly SG, Giovannucci A, et al. Cerebellar associative sensory learning defects in five mouse autism models. Elife. 2015;4:e06085.
Duffney LJ, Zhong P, Wei J, Matas E, Cheng J, Qin L, et al. Autism-like Deficits in Shank3-Deficient Mice Are Rescued by Targeting Actin Regulators. Cell Rep. 2015;11(9):1400-13.
Gouder L, Vitrac A, Goubran-Botros H, Danckaert A, Tinevez JY, Andre-Leroux G, et al. Altered spinogenesis in iPSC-derived cortical neurons from patients with autism carrying de novo SHANK3 mutations. Sci Rep. 2019;9(1):94.
Zhao H, Tu Z, Xu H, Yan S, Yan H, Zheng Y, et al. Altered neurogenesis and disrupted expression of synaptic proteins in prefrontal cortex of SHANK3-deficient non-human primate. Cell Res. 2017;27(10):1293-7.
Song TJ, Lan XY, Wei MP, Zhai FJ, Boeckers TM, Wang JN, et al. Altered Behaviors and Impaired Synaptic Function in a Novel Rat Model With a Complete Shank3 Deletion. Front Cell Neurosci. 2019;13:111.
Guo B, Chen J, Chen Q, Ren K, Feng D, Mao H, et al. Anterior cingulate cortex dysfunction underlies social deficits in Shank3 mutant mice. Nat Neurosci. 2019;22(8):1223-34.
Wang X, McCoy PA, Rodriguiz RM, Pan Y, Je HS, Roberts AC, et al. Synaptic dysfunction and abnormal behaviors in mice lacking major isoforms of Shank3. Hum Mol Genet. 2011;20(15):3093-108.
Wang X, Bey AL, Katz BM, Badea A, Kim N, David LK, et al. Altered mGluR5-Homer scaffolds and corticostriatal connectivity in a Shank3 complete knockout model of autism. Nat Commun. 2016;7:11459.
Peters A, Kaiserman-Abramof IR. The small pyramidal neuron of the rat cerebral cortex. The perikaryon, dendrites and spines. Am J Anat. 1970;127(4):321-55.
Hamlyn LH. The fine structure of the mossy fibre endings in the hippocampus of the rabbit. J Anat. 1962;96:112-20.
Morest DK. The differentiation of cerebral dendrites: A study of the post-migratory neuroblast in the medial nucleus of the trapezoid body. Z Anat Entwicklungsgesch. 1969;128(4):271-89.
Lendvai B, Stern EA, Chen B, Svoboda K. Experience-dependent plasticity of dendritic spines in the developing rat barrel cortex in vivo. Nature. 2000;404(6780):876-81.
Wang L, Pang K, Han K, Adamski CJ, Wang W, He L, et al. An autism-linked missense mutation in SHANK3 reveals the modularity of Shank3 function. Mol Psychiatry. 2019.
Matsuzaki M, Honkura N, Ellis-Davies GC, Kasai H. Structural basis of long-term potentiation in single dendritic spines. Nature. 2004;429(6993):761-6.
Jones DG, Harris RJ. An analysis of contemporary morphological concepts of synaptic remodelling in the CNS: perforated synapses revisited. Rev Neurosci. 1995;6(3):177-219.
Geinisman Y, Disterhoft JF, Gundersen HJ, McEchron MD, Persina IS, Power JM, et al. Remodeling of hippocampal synapses after hippocampus-dependent associative learning. J Comp Neurol. 2000;417(1):49-59.
Geinisman Y, de Toledo-Morrell L, Morrell F. Loss of perforated synapses in the dentate gyrus: morphological substrate of memory deficit in aged rats. Proc Natl Acad Sci U S A. 1986;83(9):3027-31.
Geinisman Y, de Toledo-Morrell L, Morrell F. Aged rats need a preserved complement of perforated axospinous synapses per hippocampal neuron to maintain good spatial memory. Brain Res. 1986;398(2):266-75.
MacGillavry HD, Kerr JM, Kassner J, Frost NA, Blanpied TA. Shank-cortactin interactions control actin dynamics to maintain flexibility of neuronal spines and synapses. Eur J Neurosci. 2016;43(2):179-93.
Sala C, Piech V, Wilson NR, Passafaro M, Liu G, Sheng M. Regulation of dendritic spine morphology and synaptic function by Shank and Homer. Neuron. 2001;31(1):115-30.
Verpelli C, Dvoretskova E, Vicidomini C, Rossi F, Chiappalone M, Schoen M, et al. Importance of Shank3 protein in regulating metabotropic glutamate receptor 5 (mGluR5) expression and signaling at synapses. J Biol Chem. 2011;286(40):34839-50.
Lee Y, Kang H, Lee B, Zhang Y, Kim Y, Kim S, et al. Integrative Analysis of Brain Region-specific Shank3 Interactomes for Understanding the Heterogeneity of Neuronal Pathophysiology Related to SHANK3 Mutations. Front Mol Neurosci. 2017;10:110.
Wang ZJ, Zhong P, Ma K, Seo JS, Yang F, Hu Z, et al. Amelioration of autism-like social deficits by targeting histone methyltransferases EHMT1/2 in Shank3-deficient mice. Mol Psychiatry. 2019.
Ma K, Qin L, Matas E, Duffney LJ, Liu A, Yan Z. Histone deacetylase inhibitor MS-275 restores social and synaptic function in a Shank3-deficient mouse model of autism. Neuropsychopharmacology. 2018;43(8):1779-88.
Lee J, Chung C, Ha S, Lee D, Kim DY, Kim H, et al. Shank3-mutant mice lacking exon 9 show altered excitation/inhibition balance, enhanced rearing, and spatial memory deficit. Front Cell Neurosci. 2015;9:94.
Romorini S, Piccoli G, Jiang M, Grossano P, Tonna N, Passafaro M, et al. A functional role of postsynaptic density-95-guanylate kinase-associated protein complex in regulating Shank assembly and stability to synapses. J Neurosci. 2004;24(42):9391-404.
Berg EL, Copping NA, Rivera JK, Pride MC, Careaga M, Bauman MD, et al. Developmental social communication deficits in the Shank3 rat model of phelan-mcdermid syndrome and autism spectrum disorder. Autism Res. 2018;11(4):587-601.
Phelan MC. Deletion 22q13.3 syndrome. Orphanet J Rare Dis. 2008;3:14.

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published 17 Nov, 2020

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Altered synaptic ultrastructure in the prefrontal cortex of Shank3-deficient rats

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