Abstract
Autism spectrum disorder (ASD) encompasses a range of neurodevelopmental conditions. Different mutations on a single ASD gene contribute to heterogeneity of disease phenotypes, possibly due to functional diversity of generated isoforms. SHANK2, a causative gene in ASD, demonstrates this phenomenon, but there is a scarcity of tools for studying endogenous SHANK2 proteins in an isoform-specific manner. Here, we report a point mutation on SHANK2, which is found in a patient with autism, located on exon of the SHANK2B transcript variant (NM_133266.5), hereby SHANK2BY29X. This mutation results in an early stop codon and an aberrant splicing event that impacts SHANK2 transcript variants distinctly. Induced pluripotent stem cells (iPSCs) carrying this mutation, from the patient or isogenic editing, fail to differentiate into functional dopamine (DA) neurons, which can be rescued by genetic correction. Available SMART-Seq single-cell data from human midbrain reveals the abundance of SHANK2B transcript in the ALDH1A1 negative DA neurons. We then show that SHANK2BY29X mutation primarily affects SHANK2B expression and ALDH1A1 negative DA neurons in vitro during early neuronal developmental stage. Mice knocked in with the identical mutation exhibit autistic-like behavior, decreased occupancy of ALDH1A1 negative DA neurons and decreased dopamine release in ventral tegmental area (VTA). Our study provides novel insights on a SHANK2 mutation derived from autism patient and highlights SHANK2B significance in ALDH1A1 negative DA neuron.
Similar content being viewed by others
Introduction
SHANKs have emerged as prominent candidates associated with neurodevelopmental disorders, such as ASD and intellectual disability [1,2,3]. Among the SHANKs family, SHANK2 gene is the largest and encodes large scaffolding proteins. These proteins are enriched in the postsynaptic density (PSD) of excitatory synapses and possess multiple functional domains for protein-protein interaction. Notably, SHANK2 undergoes complex transcriptional regulatory events, with multiple intragenic promoters and alternatively splicing exons, resulting in the expression of isoforms that are specific to particular spatiotemporal contexts [4, 5]. So far, mounting evidence has established a link between SHANK2 and neurodevelopmental disorders by overexpressing SHANK2 mutants in primary culture neurons [6, 7], utilizing iPSCs carrying patient-derived SHANK2 mutants [8,9,10] or employing gene-edited SHANK2 knockdown models [11]. These gain-of-function and loss-of-function studies have provided insights into the molecular function of SHANK2 and their impacts on electrophysiological and behavioral outcomes. However, these studies have failed to capture the broad spectrum of phenotypes associated with various mutations observed in SHANK2 [2, 7, 8, 12, 13]. One bottleneck is the lack of the characterization of each isoform with spatial and functional specificity.
To address this critical gap, we have collected an autism pedigree carrying a single point genetic mutation of SHANK2B. By intergrating characterization of this mutation using in vitro iPSCs and in vivo mouse model, we have uncovered its impacts on a subtype of dopamine neuron during early developmental stage. This study sheds light on the vital role of diverse transcripts in autism and introduceds a new paradigm for unraveling the complex mechanism underlying heterogeneity of ASD.
Methods
Cell source
We generated iPSCs from the peripheral blood mononuclear cells (PBMCs) of an ASD pedigree and control individuals. Specifically, we used two clones (PC1, PC2) derived from the male ASD patient, two clones (HC1, HC2) from his unaffected father, and two clones (Ctrl1, Ctrl2) from a healthy male individual who is not related to the ASD pedigree.
Mutation identification
Whole genome sequencing (WGS) was performed to screen for any autism-related mutation in autism patient in comparison with his unaffected parents. Based on a previous sequencing panel [14], our analysis revealed a single de novo heterogenous stop-gain mutation Y29X (C to G) in SHANK2 gene (NM_133266.5) and no other stop-gain mutations or frameshift indels were identified upon manual inspection. Furthermore, no other de novo SNV mutations were found to be related to ASD.
Sanger sequencing
Cell suspension was prepared by digesting the iPSCs with EDTA and centrifuged at 12000 rpm for 1 min. The supernatant was discarded, and 450 μl lysis buffer (1 M Tris-HCl, 0.5 M EDTA, 5 M NaCl, 10% SDS) with 50 μl proteinase K (1 mg/ml, Merck, 39450-01-6) were added. The cells were then lysed at 55 °C for 2 h. Extracted DNA were sent to TIANYIHUIYUAN Company for Sanger sequencing. The genotypes of iPSCs cell lines were identified through the DNA sequencing analysis (Chromas).
Genetic editing technology
To establish the Iso1 cell line model, SHANK2 point mutation Y29X (C to G) was edited by Biocytogen Extreme Genome Editing System (EGE) based on CRISPR/Cas9 and developed by Biocytogen. The candidate sgRNAs, located in the SHANK2 intron1, were screened by the CRISPR design tool (http://www.sanger.ac.uk/htgt/wge/). The selected RNAs with high specificity were then determined according to on-target activity using UCATM (Universal CRISPR Activity Assay). The sgRNA-mediated CRISPR/Cas9 system-induced Nuclease-induced double-strand breaks (DSBs) can be homology-directed repair (HDR) pathway when endogenous donor DNA with homologous arms is present. The donor plasmid containing the 5′ (1.3 KB) and 3′ (0.9 KB) homologous arms, as well as the insertion of gene fragment with the point mutation c. 87G>C and a resistance cassette (puroDeltatk) were co-electoporated into the Ctrl1 cells to establish Iso1 cell line.
Both PC and Iso1 cell line were heterozygous, carrying Y29X (C to G) mutation in one allele. Only PC1-res cell line was homozygous, as the Y29X mutation had been repaired (G to C).
Cell culture
iPSCs culture
Neuronal induction and differentiation of iPSCs clones was performed according to our previous protocol [11, 15]. Briefly, cells were cultured in six-well plates coated with Matrigel (BD MatrigelTM, hESC-qualified Matrix, 354277), and grown in mTeSRTM medium (Stemcell Technologies, 85850). The cells were digested using EDTA (5 × 10−4 mol/L, Thermo Fisher Scientific, 25200056) and passaged manually, every 3–4 days for 2–3 times. OCT4 and SSEA4 were used to assess the pluripotency of cells.
Neuronal induction
Neural progenitor cells (NPCs) were generated through a neuronal induction process lasting for more than 15 days, starting from iPSCs. NPCs were derived using a dual SMAD and Wnt inhibition method, with manual isolation of neuronal rosettes. During the initial 8 days of differentiation, the cells were cultured in the N2B27 medium (Thermo Fisher Scientific, 17502048, 17504044) supplemented with SB431542 (5 µmol/L, Selleck, S1067) and dorsomorphin (5 µmol/L, Selleck, S7840), referred to as the SMAD neural proliferation system I. The medium was changed every 2 days. After 8 days, neural rosettes were carefully scraped from the culture surface and transferred onto a Matrigel-coated plate. They were then maintained in N2B27 medium for an additional 8 days. On the 16th day of proliferation, rosettes were mechanically scraped into floating fragments and plated into non-coated T25 flask for floating culture. The neural proliferation system II was used, which consisted of N2B27 medium supplemented with 20 ng/mL bFGF (Thermo Fisher Scientific, PHG0266) and 20 ng/mL EGF (Thermo Fisher Scientific, PHG0315). To expand NPCs, they were dissociated with Accutase (StemPro Accutase cell dissociation reagent, Thermo Fisher Scientific, A1110501) and passaged for 3 times. NPCs were characterized by expression of NPCs marker NESTIN and SOX2, which are indicative of their neural progenitor identity.
Neuronal differentiation
For neuronal differentiation, NPCs were expanded for 3 passages and then dissociated into single cells. These cells were plated directly on glass coverslips coated with a glial cell feeder layer which was prepared from neonatal mouse astrocyte (P0–P3), at a density of 105 cells per well in 24-well plates for molecular assays. The cells were then fed with a neuronal differentiation medium (N2B27) supplemented with 1 µM Dibutyryl cyclic-AMP (Sigma, S7858) and 20 ng/μL BDNF (PeproTech, 450-02-10). The medium was changed every other day. Following that, the cells were collected from the coverslips for immunocytochemistry. The differentiated cells were positive for various neuronal markers, including tyrosine hydroxylase (TH), vesicular glutamate transporter 1 (VGLUT1), and vesicular GABA transporter (VGAT). These results indicate that the NPCs were capable of differentiating into various types of neurons.
Neuron induction with SHH
The iPSCs were cultured as described above. When the confluence of iPSCs reached 95%, the cells were detached with EDTA (5×10−4 mol/L) and replated into 12-well plate. After 1–2 days, when the cells reached full confluence, the medium was changed to neural proliferation system I to initiate neuronal differentiation. Following 8 days of neuronal induction, cells were mechanically scraped into floating fragments and replanted into two wells of a 6-well Matrigel-coated plate. The cells were then cultured in N2B27 medium supplemented with sonic hedgehog (SHH, 100 ng/mL, R&D system, 464-SH-025) and fibroblast growth factor-8 (FGF8, 100 ng/mL, R&D system, 423-F8-025). On the 8th day of proliferation, cell clones from one well of the 6-well plate were mechanically scraped into floating fragments and then replated into non-coated T25 flask for floating culture with neural proliferation system III (N2B27 + 20 ng/mL bFGF + 20 ng/mL EGF + SHH + FGF8). Typically, neurospheres usually formed on the second day of culture in neural proliferation system III. Following formation of neurospheres, Accutase was then used to detach them, and the single cells were plated in Matrigel-coated dishes with neuronal differentiation medium (N2, Thermo Fisher Scientific; B27, Thermo Fisher Scientific; 1 µM dibutyryl-cAMP, Sigma; 20 ng BDNF, PeproTech; 20 ng/mL GDNF; 200 mM AA).
Virus transduction
NPCs were digested into single cells and infected with lentivirus (CAMKII, LV-gene (44213-1), Genecham, GOSL0188572, 6 × 108 TU/mL) packed with a tetracycline-controlled red fluorescent protein (RFP) expression construct. This allowed for visualization of fluorescent images and subsequent morphological reconstruction of glutamertagic neurons. Additionally, NPCs were digested into single cells and infected with lentivirus (expressed under the control of DAT promoter) to label dopaminergic neurons for electrophysiological recordings. After 6 h of infection, the cells were centrifuged, the medium was changed. The following day, the cells exhibiting RFP signals were cultured on coverslips coated with a glial cell feeder layer at a density of 6 × 104 cells per well in a 24-well plate to promote neuronal development.
Immunocytochemistry (ICC)
Cells grown on coverslips on 9th day of neural induction from NPCs were fixed using 4% paraformaldehyde (PFA) for 15 min, washed 3 times for 5 min each with PBS, permeabilized with PBS containing 0.3% Tween-20 (Solarbio, T8220) (PBST), and blocked by PBST containing 3% bovine serum albumin (BSA, VETECTM) at room temperature (25 ± 1 °C) for 1 h. After blocking, the cells were incubated with the primary antibodies (Table S1) diluted in PBST containing 1% BSA overnight at 4 °C. The next day, cells were washed 3 times and 10 min each with PBS and incubated with secondary antibodies diluted in PBS at room temperature for 1 h. To analyze the neuronal morphology, images of neurons were acquired using 20×, 40× objective (Imager Z2, Zeiss) and digitized them using a Zeiss camera (Axiocam 506 mono, Zeiss), axon, dendrite, and soma were traced, and morphology, including dendrite length and number of dendrite branches were analyzed using neurolucida 360 for Sholl analysis.
Quantitative real-time PCR (qRT-PCR)
mRNA extracted from neurons harvested on 9th day of neural induction from NPCs or mouse brain tissues were converted to cDNA using PrimeScript RT Reagent Kit with gDNA Eraser (#RR047A, Takara). SHANK2E and SHANK2A transcripts were produced from primer “Human long SHANK2 transcripts”. Primer “Mouse Shank2A” was designed to target exon 1 and 2 of Shank2A (NM_001113373.3), primer “Mouse Shank2B” was designed to target exon 1 and 2 of Shank2B (NM_001081370.3), primer “Mouse Shank2E” was designed to target exon 9 and 10 of Shank2E (XP_006508583.1). Primers used were listed in supplementary table (Table S2). qPCR reactions were performed using TB Green® Premix Ex Taq™ II (Tli RNaseH Plus) (#RR820A, Takara) in triplicates for each sample. GAPDH was chosen as reference gene. Initial denaturation was 95 °C for 30 s, the amplification cycles were 95 °C for 5 s, 60 °C for 30 s, for 40 repeats. All qRT-PCR reactions were performed and analyzed using the StepOne Plus Real-Time PCR System (Applied Biosystems) with the comparative Cq method.
Western blot assay
Proteins were extracted from neurons harvested on 9th day of neural induction from NPCs or brain tissues from 8-week-old mice by adding appropriate amount of RIPA lysis buffer (Thermo Fisher Scientific, 89900) containing 1% protease inhibitor (Merck, 539137-10VL). After sonication and centrifugation, extracted protein were obtained for analysis. Protein concentrations were measured using PierceTM BCA Protein Assay Kit (Thermo Fisher Scientific, 23209). Protein were mixed with 5× loading buffer (Beyotime, P0015) and heated at 95 °C for 8 min, then separated on SDS-PAGE gel (Beyotime, P0012A) and transferred to a polyvinylidene difluoride (PVDF) membrane (Millipore, IPVH00010). Membranes were blocked in TBS with 0.2% Tween-20 (TBST) (Solarbio, T8220) containing 5% bovine serum antigen (BSA) at room temperature for 1.5 h and incubated with primary antibody (Table. S1) at 4 °C overnight. On the following day, the membranes were rinsed by TBST for 5 times for 8 min each and incubated with anti-Rabbit IgG, HRP-linked antibody (1:4000, 7074P2, Cell Signaling) at room temperature for 1.5 h, then rinsed 5 times for 8 min again. Protein signals were developed using ChemiDoc Touch Imaging System (Bio-RAD, USA).
Electrophysiological recordings
For electrophysiological recordings, iPSCs-derived neurons were used after 4-5 weeks of culture. Patch-clamp recordings were performed using an IR-DIC microscope (Nikon Eclipse FN-1 microscope) and an amplifier (MultiClamp 700B, Molecular Devices). Cells were incubated at room temperature in the artificial cerebrospinal fluid (ACSF, in mM: 126 NaCl, 26 NaHCO3, 10 D-glucose, 2.5 KCl, 2 CaCl2, 2 MgCl2, and 1.25 NaH2PO4, pH 7.4) that was oxygenated with 95% O2 and 5% CO2. Borosilicate microelectrodes with a resistance of 4-8 MΩ were pulled using a pipette puller (Narishige PC10). For recordings on intrinsic membrane properties, the pipettes were filled with a solution (pH 7.3) containing: 4 mM KCl, 126 mM K-gluconate, 10 mM HEPES, 0.3 mM Na2-ATP, 4 mM Mg-GTP, 10 mM phosphocreatine. Cell slide was placed in a recording tank containing ACSF with oxygen supplementation. Neurons were visualized with a 40x water objective on an IR-DIC microscope and recorded using the amplifier. The recorded signals were filtered with a low pass frequency of 3 kHz and digitized at a frequency of 20 kHz (DigiData 1550 A, Molecular Devices). In the current-clamp mode, the input resistance (Rin) and positive resting membrane potential (RMP) were recorded. Neurons were subjected to positive and negative current stimuli of −10 pA and 2 pA per second, respectively, and the slope of the linear fit of the current-voltage curve was used to determine the input resistance (Rin). The RMP was recorded as the uncorrected fluid-contact potential. The neurons were then recorded in voltage-clamp mode, in which voltage was maintained at −70 mV. A sodium current was induced by increasing the voltage by 5 mV every 300 ms from −20 to 50 mV, and the peak value and threshold of sodium current were recorded. The neurons were then recorded in current-clamp mode. The current was increased by 10 pA every 1000 ms from −30 pA to 80 pA, and the peak and frequency of the action potential were recorded. Spontaneous excitatory postsynaptic current (sEPSC) and spontaneous inhibitory postsynaptic current (sIPSC) were recorded at −70 mV and 0 mV potentials, respectively. The collected electrophysiology data were analyzed with pClamp10 (Molecular Devices).
Bulk RNA-sequencing
We conducted an analysis of the transcriptome of neurons derived from PC1 and HC1 clone on 9th day of neural induction from NPCs. To ensure data quality, we utilized cutadapt (version 2.6) for the processing of raw reads. This involved the removal of adapter sequences and elimination of low-quality reads. The resulting RNA-seq clean reads were then aligned to the human reference genome (GRCh38) using STAR (version 2.7.10a). For gene expression quantification, we employed RSEM (v1.2.28) with GENCODE annotation (human release 31). Specifically, we extracted the Transcripts Per Million (TPM) values of the SHANK2 gene, as well as its SHANK2E, SHANK2A, and SHANK2B transcripts, from the RSEM results. Finally, we utilized the ggplot2 package to visualize the obtained data.
BaseScope
Probe design was conducted by Bio ACD company. SHANK2E: length: 1849 amino acid (aa), targeting 496-716 of NM_012309.4; SHANK2A: length: 1470 aa, targeting 36-111 of ENST00000656230.1; SHANK2B: 1261 aa, targeting 2–78 of NM_133266.5. For assessing the expression of various transcripts, HC1, PC1 and PC1-res1 NPCs were digested into single cells. Cells were inoculated onto a chamber culture slide. After 5 days culture, the neurons were pretreated according to protocol (Advanced Cell Diagnostics, 322381). For SHANK2A expression, iPSCs from HC1 and PC1 were inoculated onto a chamber culture slide 1 day before further treatment. Briefly, cells were gradiently dehydrated and rehydration on slides before being treated with H2O2 and protease III from RNAscope® H2O2 and Protease Reagents (Advanced Cell Diagnostics, 322381) at room temperature for 10 min. Probe hybridization and signal amplification were performed according to the manufacturer’s instructions. Briefly, cells were separately detected the fast red detection of C2 signal and green detection of the C1 signal, using the BaseScopeTM Duplex Detection Reagents (Advanced Cell Diagnostics, 323800). Subsequently, the same slides were hybridized and combined with TH (Millipore, AB152, 1:1000) immunohistochemistry (IHC) staining. The secondary antibody, donkey anti-rabbit Alexa-488 (InvitrogenTM, A21206, 1:500) was used. Finally, the slides were dried at 60 °C for 15 min and mounted using VectaMount (Vector Labs Vectamount, 321584). The probe signals were detected under standard bright field (Zeiss).
Generation of Shank2 KI mice
All animal experimental protocols have been approved by the Ethics Committee of Experimental Animals of Jinan University in accordance with IACUC guidelines for animal research. The sample size was determined based on literatures from the same field, and in consideration of animal size limit due to animal welfare requirement and animal experimental ethical code. Randomization methods were not used in this study.
The 29th amino acid (Y29; codons TAC) in the human SHANK2 gene corresponds to the conserved 28th amino acid (Y28; codons TAC) in the mouse SHANK2 gene. The 28th amino acid residue Tyr was located within the exon 16 (ENSMUSE00000756726) of the mouse SHANK2 gene. This design was based on mouse SHANK2 transcript-003 (NM_001081370) and completed by Biocytogen. Using CRISPR/Cas9 technology, human-carried SHANK2BY29X mutation was introduced into C57BL/6 mice, which replaces the codon encoding Tyr with a stop condon to obtain heterozygous SHANK2 (SHANK2BY29X) mice. At least 5 times backcrossing were done to remove off-target effects brought by CRISPR procedure. Subsequently, heterozygous mice were interbred to obtain homozygous (SHANK2 KI) mice. If not otherwise indicated, behavioral and molecular assays were performed on male wild-type (WT) and homozygous SHANK2 KI mice at 8-9 weeks of age.
Genotype identification
For genotype identification, gingeli size ear or tail tissue of mice was obtained 3 weeks after birth. 300 μl lysis buffer (1 M Tris-HCl, 0.5 M EDTA, 5 M NaCl, 10% SDS) containing 6 μl proteinase K (Merck, 39450-01-6) was added to the tissues and then transferred to a 55 °C oven overnight in order to digest the tissue completely. DNA was extracted by phenol chloroform (Solarbio, P1013) and purified by absolute ethanol then 70% ethanol. Extracted DNA was dried at 37 °C overnight and then dissolved by 200 μl ddH2O and stored at 4 °C until use. In the Hot Start enzyme PCR reaction program, DNA template, two primers (Primer F: 5′-TGCCTGGATCTGAGCTGGGTGATTA-3′; Primer R: 5′-CATGCCTGCAGGAAGCCTAGATGTT-3′), Taq enzyme (TAKARA, RR003A), ddH2O, were mixed and followed by the PCR program (Biometra, Germany). DNA samples were sent to TIANYIHUIYUAN Company for Sanger sequencing. The genotypes of mice were identified using the DNA sequencing analysis software (Chromas).
DAB staining
Mice were anesthetized with isoflurane and perfused with PBS, followed by 4% PFA. The brain was isolated and post-fixed in PFA solution overnight, and gradiently dehydrated in 20% and 30% sucrose at 4 °C. Brain slides in 40 μm thickness were obtained using a freezing microtome (CM1950, Leica, Germany). After being rinsed by PBS for 3 times and 10 min each, brain slides were immersed in H2O2 for 30 min, followed by another 3 times rising by PBS. Slides were then blocked in 5 ml PBS containing 5% BSA and 0.5% normal goat serum (Sigma, 566380) (blocking buffer) at room temperature for 1 h. The primary antibody (anti-TH, Millipore, AB152, 1:300) diluted in blocking buffer was added, and incubated at 4 °C for 24 h. After being rinsed by PBS for 3 times, the slides were incubated with the secondary antibody coupled to peroxidase (1:500) at 4 °C overnight, followed by 3 times rising by PBS. The DAB staining solution was prepared according to DAB staining kit (Cell signaling, 8059S). Brain slices were immersed in 2 ml DAB solution until appropriate staining was observed under an optical microscope and DAB solution was replaced by PBS to terminate staining. After air dried, brain slides were gradiently dehydrated with 70% ethanol, 95% ethanol, absolute ethanol, each for 10 min and finally with xylene. Once removed from xylene, slides were mounted, completely dried and stored at room temperature until use.
Immunofluorescence (IF) staining
Brain slides in 30 μm thickness were obtained for IF staining. After rinsed by PBS for 3 times, slides were blocked in PBS containing 0.3% TritonX-100 and 5% donkey serum (Solarbio, SL050) at room temperature for 2 h. Slides were then incubated with the primary antibodies (Table S1) diluted in PBS at 4 °C for 24 h. After being rinsed by PBS for 3 times, sliced were incubated with the secondary antibody diluted in PBS at room temperature for 1.5 h. Slices were then rinsed in PBS, mounted, covered and visualized with laser scanning confocal microscope with ×20, ×40, ×63 magnification equipped with 405/488/546/647 nm lasers (Axiocam 506 mono, Zeiss, Germany). For mean fluorescence intensity analysis of TH on NAc brain region, five 250μm × 250μm subregions from one image were obtained to get an average of fluorescence intensity for one image field. n ≥ 10 image fields from 3 WT mice and 3 KI mice were included in analysis. The intensity of TH was normalized to the average of WT group for all analyzed brain regions.
Open field test
Mice were placed in the central area of the apparatus (50 × 50 × 40 cm, Noldus, Netherlands) at the beginning and allowed to explore the arena for 15 min.
Elevated plus-maze
The elevated plus-maze (Noldus, Netherlands) is consisted of a central area, two open arms, and two closed arms, which is 50 cm height to the ground. Mice were placed in the central area heading to the open arm at the beginning of the assay and allowed to explore the arena for 5 min.
Morris water maze test
In the Morris water maze test, mice underwent a training trial for five consecutive days. During each training session, mice were trained four times a day to locate a hidden platform (10 × 10 cm) in the circular apparatus (120 cm in diameter) with visual cues on the wall. If the test mouse failed to find the platform within 60 s, it was guided to the platform and allowed to stay on it for 10 s. Escape latency to platform was recorded once the mouse found and stayed on the platform for 10 s. On the 6th day, a probe trial was conducted in which the platform was removed, and test mouse was allowed to explore the arena for 1 min. Escape latency to platform, time spent in target quadrant (where the platform was originally locate) were recorded and used to assess learning and memory function.
Social interaction assay and repetitive behavior in home cages
For the social interaction assay and repetitive behavior recording, a plastic apparatus (15 × 8 × 12 cm) with beddings was used as the home cage. Test mice were habituated in the plastic apparatus for 2 days before the assay. In the beginning of the assay, the empty cylindrical apparatus (5 cm in diameter) was placed at one side of the home cage. In the first phase of the social interaction assay, a test mouse was allowed to freely move around the home cage and explore the cylinder for 10 min. In the second phase, a stranger mouse of the same gender and smaller in size as the test mouse was placed into the cylinder, and the test mouse was allowed to explore the stranger mouse for 10 min. The duration spent on sniffing on the cylinder in each phase were recorded to demonstrate the social preference. For repetitive behavior, mouse was allowed to freely explore the home cage for 5 min, the duration spent on jumping, grooming and digging were manually recorded by one experimenter.
Three-chamber social assay
The three-chamber social assay takes place in a transparent apparatus (62 cm × 40 cm × 40 cm, Noldus, Netherlands) that is divided into three chambers (left, middle, right) by thin transparent wall, with dim light in the behavioral room. In the first phase, inanimate objects (O1 and O) was placed in two small cylindrical containers in the left and right chamber, respectively. The test mouse was initially placed in the middle chamber and allowed to freely explore all three chambers for 10 min to acclimate to the environment. In the second phase, the test mouse was gently guided back to the center chamber, and the two entrances to the side chambers were blocked. One of the containers (O1) was replaced with a strange mouse (Stranger 1, S1), while the other container retained the inanimate object (O). Then, the two entrances were opened to allow the mouse to explore the chamerbs for 10 min. In the third phase, the test mouse was gently guided back to the center chamber again, with the entrances to the side chambers blocked. The remaining container with the inanimate object (O) was replaced with Stranger 2 (S2), representing an unfamiliar novel mouse. The test mouse was allowed to explore and interact with either Stranger 1 or 2 for 10 min. The duration and frequency of sniffing on the containers were manually calculated by two experimenters. Preference ratio is calculated by sniffing duration (S1 − O)/(S1 + O) in second phase, and (S2 − S1)/(S2 + S1) in third phase, to represent social preference and social memory recognition, respectively.
Rotarod test
The Rotarod apparatus (47700(rat)/600(mouse)) was used in the test. As the test started, the rod accelerated from 0 rpm to 80 rpm in 5 min. The standard motor learning task was performed as three trials per day for three consecutive days. Mice were allowed to take a 5 min rest between trial. The duration that each mouse stays on the rotating rod in each trial was recorded as the latency to fall.
In vivo fastscan cyclic voltammetry (FSCV)
FSCV was used to measure dopamine fluctuations in the nucleus accumbens (NAc). Mice were anesthetized with urethane (1.5 g/kg, i.p.) and placed in a stereotaxic frame equipped with a heating pad to maintain body temperature (Harvard Apparatus, Holliston, MA, USA). A bipolar, stainless-steel stimulating electrode, coupled with a 26-gauge infusion cannula (Plastics One, Roanoke, VA, USA), was placed into the VTA (AP − 5.2 mm, ML + 0.5 to −1.5 mm, DV between −7.4 and −8.1 mm), a carbon fiber microelectrode was implanted in the NAc core (AP + 1.2 mm, ML − 1.4 mm, DV from −6.0 to 7.0 mm) and an Ag/Ag Cl reference electrode was placed in the contralateral hemisphere. A low-pass filtered (2 kHz) triangular waveform (−0.4 to +1.3 V and back to −0.4 V at a rate of 400 V/s, repeated at 100 ms intervals) was applied to the carbon fiber microelectrode. Data were digitized and processed using NI-6711 and NI-6251 DAC/ADC cards (National Instruments, Austin, TX, USA) and Demon Voltammetry and Analysis Software (Wake Forest Baptist Medical Center, Winston-Salem, NC). Background-subtracted cyclic voltammograms (CVs) were obtained by digitally subtracting stable background currents to resolve CVs for dopamine. Electrical pulses delivered to the VTA were computer-generated with a 6711 PCI card (National Instruments, Austin, TX, USA) and were optically isolated from the electrochemical system (NL 800 A, Neurolog, Digitimer Ltd, Hertfordshire, UK). Electrical stimulation for phasic evoked DA release consisted of biphasic square wave pulses (300 μA, 24 pulses, with a 4 ms pulse width, applied at 60 Hz). For tonic-evoked DA release, all parameters remained the same except that the frequency was changed to 5 Hz. VTA stimulation, and subsequent dopamine current recordings detected by electrode in the NAc, were performed with a 3 min interval between each stimulation to allow releasable DA stores to baseline. For the FSCV experiment, at baseline, 6 evoked-DA samples were first collected.
Whole-cell patch clamp recording
Mice were sacrificed at postnatal 38–40 days, coronal slices containing the VTA were used for recording miniature excitatory postsynaptic current (mEPSC). Slices were immersed in ice-cold ACSF saturated with 95% O2 and 5% CO2 and incubated at 32 °C for 30 min before being kept at room temperature. The slices were then switched to the recording chamber circulated with ACSF. The recording electrode contains a potassium-based solution (in mM: 130 K-gluconate, 4 KCl, 2 NaCl, 10 HEPES, 4 ATP-Mg, 0.3 GTP-Na, 1 EGTA, and 14 phosphocreatine, pH 7.2, 295 mOsm), and has an electrical resistance of 4 ~ 6 MΩ. Neurons were voltage-clamped at −70 mV. VTA neurons were patch clamped with an electrode containing a potassium-based internal solution that contains 0.25% biocytin.
Morphological reconstruction and analysis of VTA TH+ neurons
When the whole-cell patch clamp recordings were completed, the cell received 500 pA of current to allow the exchange of the cell fluid and electrode fluid, and biotin in the electrode fluid was exchanged into the cell for cell morphology construction. ACSF was discarded, the recorded brain slices were transferred to 24-well plates containing 4% PFA at 4 °C overnight, then rinsed by PBS for 3 times and 10 min for each. The brain slices were blocked in blocking buffer (5% donkey serum and 5% goat serum in PBS containing 0.3% TritonX-100) at room temperature for 1 h and stained with the primary antibody diluted in blocking buffer at 4 °C overnight. After 3 times rinse by PBS for 10 min each, slices were incubated in mixed secondary antibody, including both sheep-rabbit immunofluorescence secondary antibody and anti-biotin avidin coupled secondary antibody, at 4 °C overnight, followed by rinsed by PBS. Brain slices were visualized under laser scanning confocal microscope and dendritic spines of TH positive dopamine neurons with biotin staining were analyzed. Mushroom and stubyby protrusion from the dendritic branch were identified as spine. At least three dendrite segments in each neuron were included in analysis, each analyzed dot represented one neuron. Data came from more than 8 mice in each group.
Single Cell RNA-Seq (scRNA-Seq)
WT and KI mouse midbrain tissues were obtained on embryonic day 13.5, and subjected to single-cell RNA-Seq. To achieve a homogenous single-cell suspension, the Worthington Papain Dissociation System kit (Worthington, LK003153) was used following the manufacturer’s recommended protocol. Briefly, the midbrain tissues were washed with DMEM/F12 and then dissected into small pieces in Papain/DNase solution. The tissue suspension was subsequently transferred to an orbital shaker set at 60 rpm/min and maintained at 37 °C for 30 min. Gentle trituration was performed to obtain a single-cell suspension, and the papain was inactivated using an albumin-ovomucoid inhibitor solution. Cells were pelleted at 300 g, resuspended in PBS containing 0.04% BSA (Sigma, A2153), and adjusted to a concentration of 500–1000 cells/μl.
For the scRNA-Seq, a 3′-library was constructed utilizing the Chromium Single Cell Reagent Kits v3 (10X GENOMICS) according to the manufacturer’s user guide. The amplified and purified library was quantified using the Quant-iT dsDNA Assay Kit, high sensitivity (Thermo Fisher) on Qubit 2.0, and subsequently sequenced with PE 150 (paired-end sequencing, 150 bp reads).
To align the clean reads obtained from the scRNA-Seq to the mouse reference genome (mm10), the STAR (v.2.7) software was employed. The resulting BAM files were sorted and indexed using the sort and index functions provided by SAMtools (v1.9). To visualize the aligned reads, the BAM files were viewed using the Integrative Genomics Viewer (IGV).
SMART-Seq single-cell data analysis
To assess expression of SHANK2 isoform in the midbrain, we re-analyzed SMART-Seq single-cell data of the human ventral midbrain from La Manno et al. [16]. First, the single cell RNA-seq reads were aligned to the human reference genome (hg38) using Hisat2 (version 2.1.0). The output of hisat2 is a SAM file. Then we transformed from SAM files to BAM files and sort the BAM files using Samtools (version 1.9). Quantification of isoform expression was performed using StringTie (v1.3.3b) with GENCODE annotation (human release 31). We extracted read count information directly from the files generated by StringTie using prepDE.py mentioned in the Stringtie manual. The count value of Transcript for each cell was normalized using CPM (Counts Per Million) and then log transformed.
We acquired processed data including the gene counts matrix and cell meta data. UMI counts were normalized for each cell by the total expression, multiplied by 10,000 scaling factors, and log-transformed. The highly-variable genes (HVGs) were identified using the function highly_variable_genes with min_mean = 0.0125, max_mean = 3, min_disp = 0.5. The scale function was used to regress out variation due to differences in total UMIs per cell. We chose terminally differentiated cell types (hDA1, hDA, hEndo, hGaba, hMgl, hOMTN, hOPC, hPeric, hSert) for analysis. To reduce noise and the gene expression space further, we then performed principal component analysis (PCA) on the scaled data for the variable genes. The neighborhood graph of cells was computed using the top 30 PCA vectors space, and the number of neighboring data points was set to 10. t-SNE (t-distributed Stochastic Neighbor Embedding) was used for visualization.
Finally, we employed heatmaps to visualize the expression of marker genes across different cell types, as well as the three transcripts of SHANK2: SHANK2A, SHANK2B and SHANK2E within each cell type. Gene expression values and isoform expression values were standardized between 0 and 1.
Statistical analysis
Except RNA-Seq, all statistical analyses were performed using GraphPad Prism8 (USA). All data presented in the study are mean ± standard error (SEM) unless otherwise noted. No data were excluded from this study. Data were firstly tested for normality. If not otherwise indicated, parametric data were compared using unpaired Student’s t-test, Two-way ANOVA followed by Šídák’s multiple comparisons test, or One-way ANOVA followed by Tukey’s post-hoc comparison test. Non-parametric data were compared using Mann–Whitney test and Wilcoxon test. All reported p values are two-sided. All parametric tests were made based on the non-equal variance assumption. p < 0.05 was regarded as significance. BaseScope on cell line, behavioral tests and molecular assays on animals were analyzed by persons who were blinded to the grouping. Other analysis were analyzed by persons who were not blinded to the grouping.
Results
SHANK2BY29X carrier shows defects in DA neurons differentiation, dendritic morphology and function
We here collected information from an individual diagnosed with ASD at the age of seven. This patient displayed a low willingness to interact with peers, limited interests and a range of stereotypical behaviors such as mumbling and spinning toys. He also manifested mild intellectual disability. Using our published panel [14] for WGS, we identified a de novo heterogenous mutation c.87C>G on SHANK2 (NM_133266.5), a major risky gene for ASD [2, 17,18,19,20,21,22,23] (Fig. S1), which was verified by Sanger sequencing (Fig. 1a). Upon detailed bioinformatics annotation of the WGS data, we confirmed that this variant is a candidate mutation. This C to G single nucleotide mutation on one allele located at exon 1 of SHANK2B transcript variant, resulted in a premature stop codon, rendering SHANK2B p.Y29X (SHANK2BY29X) (Fig. S2).
The patients’ profound neurodevelopmental deficits are reminiscent of the known role of SHANK2 gene. We hence sought to delineate the potential neurodevelopmental effects of this novel mutation. To explore the ASD-associated cellular phenotypes resulting from SHANK2BY29X mutation, we first reprogrammed PBMCs from the proband and his unaffected father into iPSCs [24,25,26]. These were referred to as patient clone (PC) and health clone (HC), respectively. We also introduced precise G-to-C mutation on one line from PC (PC1) using the CRISPR/Cas9 technique to generate rescue clones (PC1-res) (Fig. 1a). To elucidate the impact of SHANK2BY29X mutation on neuronal development, we utilized iPSCs-iNeuron model and applied a modified dual-SMADi monolayer differentiation protocol [27, 28] (Fig. 1b), which enable the investigation of various neuron subtypes (Fig. S3) during early stages of neuronal development. Interestingly, we observed a significant reduction in the rate of neuronal differentiation in PC lines, compared with HC lines (Fig. S4a, b). Meanwhile, there was a notable decrease in the TH positive/MAP2 positive DA population, and these phenotypes were rescued in PC1-res lines (Fig. 1c, d). Furthermore, when we examined the dendritic arbors of subtype neurons from both groups, we discovered that the dendrite length and arborization of DA neurons were significantly decreased in PC lines comparing to HC lines (Fig. 1e, f, Fig. S4c). However, the dendritic morphology of glutamatergic neurons showed only a moderate decrease (Fig. S5a–c), while that of GABAergic neurons remained unchanged (Fig. S5d–f). Electrophysiological analysis uncovered decreased membrane resistance, increased cell capacitance, elevated peak sodium (INa) threshold, and reduced INa current in PC1-derived DA neurons. These abnormalities were rescued in PC1-res1 cells (Fig. 1g, h). These results demonstrate that SHANK2BY29X mutation affects both DA differentiation, dendritic morphology and neuronal activity.
Then we followed a SHH protocol [27, 29, 30] (Fig. 2a) to generate more DA neurons and decipher whether the DA neuron phenotypes in modified dual-SMADi monolayer differentiation protocol could be reproduced. We found that MAP2 positive/HuNu positive neuron (Fig. 2b, c), TH positive/MAP2 positive DA population (Fig. 2d, e), the dendrite length and complexity of DA neurons (Fig. 2f–h) were significantly reduced in PC lines, compared with HC neurons, and these phenotypes could be rescued in PC1-res lines.
SHANK2BY29X KI phenocopies the DA neuron developmental obstacle in SHANK2BY29X carrier
To further confirm the genotype-phenotype link, we constructed isogenic c.87C>G heterozygous mutant iPSCs (Iso) from control iPSCs (Ctrl) derived from a healthy donor (Fig. 3a). Neuronal differentiation (Fig. 3b, c), predominantly the TH positive DA neuron, was attenuated in Iso line comparing to Ctrl lines (Fig. S6, Fig. 3d–e). The dendrite length and complexity of Iso1-derived DA neurons also recapitulated those of PC1 derived neurons (Fig. 3f–h). Genetic correction of the mutants rescued, while isogenic cell line knocked in with SHANK2BY29X mutant phenocopied those DA defeats, which validate that SHANK2 c.87C>G mutation is primarily responsible for the DA neuron-related phenotypes in SHANK2BY29X carrier.
SHANK2BY29X preferentially affects ALDH1A1 negative DA neurons
SHANK2 gene can produce multiple transcripts and different protein isoforms may have specific functions. The SHANK2 c.87C>G mutation derived from the pedigree in this study located on exon of SHANK2B (NM_133266.5) but intron of SHANK2A and SHANK2E (Fig. 4a). SHANK2B retains the PDZ domain, which is crucial for neurodevelopment [5, 7, 8, 31, 32]. Utilizing this valuable case, we first verified SHANK2B deficiency in PC1-derived neurons by western blot (Fig. 4b), whereas SHANK2E and SHANK2A isoforms were weakly detected. Therefore, isoform-sensitive BaseScope probes were used to further demonstrate the alternation of different isoforms at RNA level. Results showed reduced SHANK2B transcript but unchanged SHANK2E transcript in PC1-derived neurons (Fig. 4c–e), while this reduction could be rescued in PC1-res1 line (Fig. S7a–c). Moreover, co-staining with TH enabled the visualization of decreased SHANK2B expression in patient-derived DA neurons (Fig. S7d, e). Besides, SHANK2A signal was faintly detected in neurons 5 days differentiated from NPCs (Fig. S7f), but more pronounced at iPSCs stage when we found no significant changes between PC1 and HC1 clone (Fig. S7g, h). Bulk RNA sequencing revealed decreased SHANK2 and SHANK2B transcript expression during early neuronal stage (Fig. S8a). In a parallel manner, qRT-PCR using two different primers indicated SHANK2A and SHANK2E transcript were increased significantly (Fig. S8b), while SHANK2B was decreased (Fig. S8c). These evidence demonstrated significant SHANK2B reduction at RNA and protein levels in neurons induced from ASD patient clone (PC1) when compared with unaffected father clone (HC1) during early neural developmental stage, whereas SHANK2E and SHANK2A remained unchanged or possibly compensatory increased at different developmental stage.
To dissect the SHANK2B-specific function, we reanalyzed single-cell RNA-seq data of human ventral midbrain [16] obtained by SMART-Seq2, permitting isoform-specific transcriptome analysis (Figs. 4f, g and S9). Of note, we found that SHANK2B is mainly expressed in the ALDH1A1 negative TH positive DA neuron subtype, hDA1 [16]. In contrast, SHANK2E is expressed more in the hGABA neurons while SHANK2A expression is relatively low at the time point in midbrain examined. The SHANK2 c.87C>G mutation dramatically affected the dendrite length and complexity of hDA1, identified by ALDH1A1 and TH co-staining, Instead, only subtle changes in dendritic arborization were observed in the ALDH1A1 positive TH positive hDA2 neurons (Fig. 4h–k).
SHANK2BY29X KI mice show abnormal social behavior and DA neuron defects in VTA
To further investigate how SHANK2BY29X impacts in vivo brain development at the cellular and behavioral levels, we generated a SHANK2BY29X KI mouse (Fig. 5a). The targeting vector containing mouse p.Y28X (corresponding to human Y29X, as described in Method) was knocked into the endogenous Shank2 locus through CRISPR/Cas9 technology and homologous recombination. Heterozygous male and female KI mice were mated to produce the homozygote mutants. The offspring was born to the Mendelian ratio but decreased body weight was apparent in KI mice (Fig. S10a). We next explored whether the homozygous KI mice were conferred with autism-like phenotype. In the three-chamber social assay (Fig. 5b–d), WT mice showed preference towards a stranger over an object, whereas KI mice showed no observable inclination in second phase, indicating the KI mice exhibited deficits in sociability, which was parellelly probed in homecage social test (Fig. S10b, c). We also noticed that KI mice showed abnormal stereotypic behaviors, hyperactivity, anxiety and impaired spatial learning and memory ability (Fig. S10d–j). In sum, we demonstrated that the SHANK2 c.87C>G mutation is a pathogenic mutation, which is sufficient and essential to induce autistic-like behaviors in mice. We then focused on VTA, which contains abundant DA neurons that form the mesolimbic dopamine system [33]. Echoing the phenotypes of the in vitro model, reduced number (Fig. 5e, f) and shortened dendrite length (Fig. S10k–m) of TH+ neurons in the VTA were observed. Besides, synaptic dysregulation, including decreased dendritic spine density (Fig. S10n–o), concomitant with increased mEPSC amplitude and frequency (Fig. S10p–q) were detected in VTA neurons of KI mice.
Regarding the distinct impacts of SHANK2B deficiency on ALDH1A1 positive and negative DA neurons in vitro, we first demonstrated the SHANK2B protein isoform deletion and decreasd TH expression brought by SHANK2BY29X mutation in VTA of mice by western blot (Fig. S11a). In the anatomical level, two main populations of DA in the midbrain are located in the substantia nigra pars compacta (SN) and VTA, respectively [34, 35]. DA neurodegeneration upon Parkinson disease occurs mainly in the SN where most Aldh1a1 positive DA neurons reside [36,37,38,39]. In line with this notion, KI mice showed normal motor learning ability (Fig. 5g), the occupancy of Aldh1a1 negative DA neurons was affected in VTA rather than SN (Fig. 5h, I, Fig. S11b, c). Given that VTA projecting to NAc is, a well-known brain circuit that encode and predict key features of social behaviors [33], we wondered the projection of TH+ neurons to NAc could be altered. As expected, mean fluorescence intensity of TH in NAc (Fig. 5j, k) as well as electric stimulation-induced NAc release probed by FSCV (Fig. 5l–m, Fig. S11d, e) was greatly diminished in KI mice. Instead, neither TH intensity in medial prefrontal cortex and basolateral amygdala (Fig. S11f, g), nor DA release from SN to dorsal straitum was decreased significantly (Fig. 5n). Therefore, the expression of endogenous SHANK2B has fundamental function in not only dopamine neuron development in VTA but the establishment of dopamine based brain circuits.
It is worth noting that we observed both Shank2A and Shank2B isoforms were affected whereas Shank2E was relatively unchanged in cortex of homozygous KI mice by western blot (Fig. S12a). Besides, an uncharacterized novel short isoform appeared in KI mice. To further delineate the distinct effects of SHANK2BY29X mutation on different isoforms in vivo, we designed primers targeting Shank2A, Shank2B and Shank2E transcripts (Table S2) and performed qRT-PCR on three brain regions (Fig. S12b). Results revealed a significant decrease of Shank2A transcript across brain regions, while Shank2E only showed significant decrease in cerebellum. Shank2B remained unchanged in cortex and hippocampus, but exhibited a significant increase in cerebellum.
We further investiagetd whether the mutation also affects SHANK2 splicing in human and mouse. Point mutations can alter branch site selectivity in pre-mRNA splicing or activate a cryptic splice site in part of the transcript that usually is not spliced. Since the C > G mutation sits right adjacent to a canonical splice acceptor site (AG), it has the potential to create a new 3′ AG splice acceptor site (ACAG → AGAG). Available splice site predictor, MaxEntScan [40] (Fig. S13) and Neural network [41] (Fig. S14) both predicted the new AG splice site (2 bp away from the original splice site) in human and mouse. Sequencing data from human cell line (Fig. S15) and mouse tissue (Fig. S16) revealed that the length of splicing transcripts were differed, where 2 bp longer undefined transcript variant was found in KI mice compared with WT mice, but not found in patient clone, when we aligned our RNA-Seq reads to genome and visualized by IGV. These evidence suggested that the 2 bp shift in splicing introduces a new transcript with a premature termination codon within the affected exon, resulting in nonsense-mediated decay, which impacts Shank2A in vivo in our case. Utilizing SnapGene v4.1.8 to evaluate the potential implications of new transcript on translation, we identified an early stop codon possibly mediating the decay of Shank2A transcript (Fig. S17a). On the other hand, C > G mutation might seed the formation of novel isoform observed in Western blot by creating new open reading frame. SnapGene implied that a shorter protein isoform would be derived from 2 bp longer Shank2A transcript (Fig. S17a), as well as from mutant Shank2B transcript (Fig. S17b). These translation products might correspond to the novel short isoform. Taken together, C > G mutation not only generates an early stop codon in SHANK2B transcript, but creates a new splice acceptor site, which is predicted to affect the splicing events, resulting in shorter protein product observed in Western blot.
Discussion
Previous reported intragenic mutations of SHANK2 derived from ASD patients affected multiple isoforms [4, 5], making it difficult and ambiguous to clarify the pathological mechanisms in an isoform-specific manner. Here, we collected a proband with a de novo single nucleotide mutation (SHANK2BY29X) from an ASD pedigree which preferentially affected the SHANK2B isoform, while leaving other SHANK2 transcripts (SHANK2E and SHANK2A) unaffected in human cell model. We then demonstrated a significant early neuronal developmental obstacle in patient-derived clones, in consistent with previous studies on Shankopathy [11, 15]. More importantly, dominant detrimental effects were posed on DA neurons among which differentiation ratio, dendritic length and complexity, and electrophysiological properties were all adversely affected. Integrating the transcriptome database of the human midbrain [16], we unraveled the abundance of SHANK2B in the ALDH1A1 negative DA neurons while SHANK2BY29X mutation impaired the development of this DA subpopulation in vitro and in vivo. Taken together, our study sheds new light on the critical role of SHANK2B isoform in early dopamine neuron growth and functioning.
Global transcriptional analysis has revealed the differential distribution of isoforms, especially synapse proteins, among different neuronal subtypes, across brain regions and developmental stages [42, 43]. SHANK genes can undergo alternative splicing and utilize different promoters to generate multiple mRNA transcripts and corresponding protein isoforms, some of which lack certain domains, giving functional diversity [4, 7, 44, 45]. Indeed, there have been some studies on Shank3 isoforms supported this concept [44, 46, 47]. Regarding the expression of SHANK2 isoforms, SHANK2E, the longest isoform, is mainly expressed in cereblleum in both mouse and human brain. On the other hand, SHANK2B and SHANK2A are ubiquitously expressed in various areas except cerebellum, such as cortex, frontal lobe and hippocampus in human. In these areas, SHANK2B is expressed more prominently than SHANK2A. Besides, our BaseScope results indicated low expression of SHANK2A during early neuronal developmental stage (from NPCs to immature neurons), whereas SHANK2E and SHANK2B are more prominent. However, functional study on specific isoforms are limited. A recent study demonstrated the role of SHANK2A in redistribution of Ca2+-permeable AMPA receptors between apical and basal hippocampal CA1 dendrites, leading to impaired synaptic plasticity in the basal dendrites. SHANK2A overexpression resulted in impaired social interaction and odor processing [48]. Therefore, mutation that aberrantly disrupts transcription of SHANK or following translation of isoforms might lead to varied molecular phenotypes and eventually divergent behavioral outcomes observed in animal models and clinical patients [5, 49].
Concerning the pronounced difference in altered isoform expression between in vitro and in vivo settings, wherein SHANK2B isoform was affected in human cell line but Shank2A and Shank2B were disrupted in mouse brain, we here provided possible explanation. Aberrant alternative splicing events due to shifting splicing site upon point mutation are predictable in both species. However, such perturbation impacted more extensively in homozygous mutant mice where Shank2A transcription in addition to Shank2B translation were adversely affected, compared with heterozygous mutant neurons. Notably, a novel isoform, detected by C-terminus recognizing antibody in KI mice, with smaller molecular size than Shank2B, shall be lack of PDZ domain that is essential for Shank2 function (Fig. S17). Moreover, it might interact with different Shank2 isoforms or other Shank proteins (Shank1, Shank3) within the synapse or cellular compartments. Eltokhi et al. have pointed out the possibility of residual expression of truncated proteins or mRNAs, which could potentially disrupt the structure or flexibility of the SHANK scaffold [49, 50]. Whether undefined transcript or isoform exert compensatory function or adverse effects require evidence.
Since the disruption of various isoforms in animal models, we also explored whether the SHANK2BY29X mutation affect other neuron subtypes, such as excitatory (glutamatergic) and inhibitory (GABA) neurons in cortex and hippocampus. Both qRT-PCR of Gad1, Gad2 (Fig. S18a–d), which encode the proteins involved in GABA synthesis; and IF staining (Fig. S18e, f) of VGAT, which is critical for vesicular GABA transport, hinted dysregulation of inhibitory neurotransmission of GABAergic neurons in cortex. However, no significant changes were observed in cortex in vGlut1 protein expression upon SHANK2BY29X mutation (Fig. S18g–k). The difference in affected isoforms and neuron subtypes might partially contribute to the behavioral differences observed in KI mouse and autistic patient in our case, since hyperactivity, aggressive behavior (data not shown) were unexpectedly observed in mouse model. Therefore, convergent results render the SHANK2BY29X KI mouse model to be a multi-hit mouse model of ASD. The identification of mutation-targeted cell-type drives the mechanistic revelation and therapeutic treatment of the disease.
SHANK2 proteins belong to scaffolding proteins that tether and organize intermediate scaffolding proteins located at the PSD of excitatory synapses with implication in synaptic formation, development, and plasticity [5, 31]. Since PDZ and SAM domains within brain SHANK2 isoforms mediate the formation of compact postsynaptic nanocluster [51], individuals or animal models carrying SHANK2 mutations disrupting various isoforms often exhibit altered synaptic/spine number [8, 21, 52], as well as impaired synaptic plasticity [22] and transmisstion [21]. In line with these observations, our study revealed a decrease in spine, whereas increase in mEPSC frequency and amplitude in VTA of SHANK2BY29X KI mice. It is important to note that the VTA receives input from various regions and harbors multiple neuron identities (DA and GABA neurons) [53], which distinguishes it from glutamatergic neurons studied mostly in previous investigations. This discrepancy in brain regions or probed neuronal subtypes may contribute to the conflicting results observed. In addition, the small sample size in our study necessitates additional evidence to elucidate the impacts of SHANK2BY29X mutation on synaptic electrophysiology.
Besides synapse deficit, neuronal growth deficit is commonly observed in Shankopathy [8, 11]. Constitutive SHANK2 knockout [21, 22, 52, 54] and conditional SHANK2 deletion in certain cell type [55,56,57] brought divergent behavioral abnormalities in social, repetitive, locomotor, anxiety and hyperactivity domains in mouse models, hinting the distinct role of SHANK2 in different neuron subtypes and brain areas that contributes to diverse brain functions [49]. A recent study demonstrated the expression of SHANK2 in TH positive neurons in both human and mouse brain [58]. Combined with the SMART-seq human dataset, we could hypothesize that SHANK2B is expressed in TH positive neurons in midbrain and affect the DA neuron growth and functioning. Mesolimbic DA pathway has been extensively studied in resislience [59] and social reward [33, 60]. Deciphering the intrinsic properties and functionality of Aldh1a1 in dopamine, large amount of studies have correlated reduction of Aldh1a1 expression or substantial loss of Aldh1a1 positive DA neurons selectively in SN to etiopathogenesis of PD, indicating this distinct neuron subpopulation as a crucial role in motor skill learning [37, 61, 62]. Accordingly, neither Aldh1a1 positive DA neurons nor SN DA projection to straitum responsible for motor function were disturbed in our case, which align with the in vitro study. On the other side, VTA DA projecting to NAc was greatly attenuated. In this sense, we provided novel insights into the critical role of Shank2 in development of Aldh1a1 negative DA neurons and integrity of the DA-based VTA-NAc circuit. In another study, correcting VTA dopaminergic activity during adolescence can alleviate social deficits in Shank3-mutant mice [63]. These collaborative findings establish a strong link between dopamine and Shankopathy.
For further implementation and translation, 1. whether optogenetic/chemogenetic activation of DA neuron in VTA could improve behavioral abnormalities observed in knockin mice; 2. whether selective SHANK2BY29X knockin within DA subpopulation would displayed comparable phenotypes in mice; 3. whether other disease-causing mutations of SHANK2 (e.g., R462X, T1127M, and L1008_P1009dup) [2, 6,7,8, 48, 64] disrupting multiple isoforms of SHANK2 affect ALDH1A1 negative DA neurons, warrants further investigation.
In all, despite an overwhelming consensus on the importance of studying isoform functions of SHANK, rare studies are able to interpret the functional relevance between particular isoform and phenotypic consequence due to limited identified SHANK2 mutants targeting single isoform. Our study, for the first time, demonstrated that the isoform-specific expression of SHANK2B in the ALDH1A1 negative DA neurons, in which the loss-of-function mutation of SHANK2B derived from ASD patient impairs their growth and function in vitro. The characterization of the isoform carrying patient-derived mutation would empower the understandings of heterogeneous and complex ASD genetics [5].
Data availability
All data generated for this manuscript have been included in this article. The bulk RNA sequencing data and single cell sequencing data have been deposited in public repository, the accession number is GSE256210. All other data are available from the corresponding author upon reasonable request.
References
Grove J, Ripke S, Als TD, Mattheisen M, Walters RK, Won H, et al. Identification of common genetic risk variants for autism spectrum disorder. Nat Genetics. 2019;51:431–44.
Berkel S, Marshall CR, Weiss B, Howe J, Roeth R, Moog U, et al. Mutations in the SHANK2 synaptic scaffolding gene in autism spectrum disorder and mental retardation. Nat Genet. 2010;42:489–91.
Bowling KM, Thompson ML, Amaral MD, Finnila CR, Hiatt SM, Engel KL, et al. Genomic diagnosis for children with intellectual disability and/or developmental delay. Genome Med. 2017;9:43.
Jiang YH, Ehlers MD. Modeling autism by SHANK gene mutations in mice. Neuron. 2013;78:8–27.
Monteiro P, Feng G. SHANK proteins: roles at the synapse and in autism spectrum disorder. Nat Rev Neurosci. 2017;18:147–57.
Berkel S, Tang W, Treviño M, Vogt M, Obenhaus HA, Gass P, et al. Inherited and de novo SHANK2 variants associated with autism spectrum disorder impair neuronal morphogenesis and physiology. Human Molecular Genetics. 2011;21:344–57.
Leblond CS, Heinrich J, Delorme R, Proepper C, Betancur C, Huguet G, et al. Genetic and functional analyses of SHANK2 mutations suggest a multiple hit model of autism spectrum disorders. PLoS Genet. 2012;8:e1002521.
Zaslavsky K, Zhang WB, McCready FP, Rodrigues DC, Deneault E, Loo C, et al. SHANK2 mutations associated with autism spectrum disorder cause hyperconnectivity of human neurons. Nature Neurosci. 2019;22:556–64.
Cristian FB, Köppel A, Janssen J, Utikal JS, Rappold GA, Berkel S. Generation of two hiPSC lines from a patient with autism spectrum disorder harboring a 120 kb deletion in SHANK2 and two control lines from each parent. Stem Cell Res. 2020;49:102004.
Lutz AK, Pérez Arévalo A, Ioannidis V, Stirmlinger N, Demestre M, Delorme R, et al. SHANK2 mutations result in dysregulation of the ERK1/2 pathway in human induced pluripotent stem cells-derived neurons and Shank2(-/-) Mice. Front Mol Neurosci. 2021;14:773571.
Chen ST, Lai WJ, Zhang WJ, Chen QP, Zhou LB, So KF, et al. Insulin-like growth factor 1 partially rescues early developmental defects caused by SHANK2 knockdown in human neurons. Neural Regen Res. 2020;15:2335–43.
An Y, Zhang L, Liu W, Jiang Y, Chen X, Lan X, et al. De novo variants in the Helicase-C domain of CHD8 are associated with severe phenotypes including autism, language disability and overgrowth. Human genetics. 2020;139:499–512.
Hoffmann A, Spengler D. Chromatin remodeler CHD8 in autism and brain development. J Clin Med. 2021;10:366.
Wang T, Hoekzema K, Vecchio D, Wu H, Sulovari A, Coe BP, et al. Large-scale targeted sequencing identifies risk genes for neurodevelopmental disorders. Nat Commun. 2020;11:4932.
Huang G, Chen S, Chen X, Zheng J, Xu Z, Doostparast Torshizi A, et al. Uncovering the functional link between SHANK3 deletions and deficiency in neurodevelopment using iPSC-derived human neurons. Front Neuroanat. 2019;13:23.
La Manno G, Gyllborg D, Codeluppi S, Nishimura K, Salto C, Zeisel A, et al. Molecular diversity of midbrain development in mouse, human, and stem cells. Cell. 2016;167:566–580.e519.
Geschwind DH. Advances in autism. Ann Rev Med. 2009;60:367–80.
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:e1004580.
Vanzo RJ, Prasad A, Staunch L, Hensel CH, Serrano MA, Wassman ER, et al. The temple grandin genome: comprehensive analysis in a scientist with high-functioning autism. J Pers Med. 2020;11:21.
Dhaliwal J, Qiao Y, Calli K, Martell S, Race S, Chijiwa C, et al. Contribution of multiple inherited variants to autism spectrum disorder (ASD) in a family with 3 affected siblings. Genes. 2021;12:1053.
Schmeisser MJ, Ey E, Wegener S, Bockmann J, Stempel AV, Kuebler A, et al. Autistic-like behaviours and hyperactivity in mice lacking ProSAP1/Shank2. Nature. 2012;486:256–60.
Won H, Lee HR, Gee HY, Mah W, Kim JI, Lee J, et al. Autistic-like social behaviour in Shank2-mutant mice improved by restoring NMDA receptor function. Nature. 2012;486:261–5.
Guo H, Wang T, Wu H, Long M, Coe BP, Li H, et al. Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model. Mol Autism. 2018;9:64.
Takahashi K, Yamanaka S. Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell. 2006;126:663–76.
Takahashi K, Tanabe K, Ohnuki M, Narita M, Ichisaka T, Tomoda K, et al. Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell. 2007;131:861–72.
Okita K, Yamakawa T, Matsumura Y, Sato Y, Amano N, Watanabe A, et al. An efficient nonviral method to generate integration-free human-induced pluripotent stem cells from cord blood and peripheral blood cells. Stem Cells. 2013;31:458–66.
Chambers SM, Fasano CA, Papapetrou EP, Tomishima M, Sadelain M, Studer L. Highly efficient neural conversion of human ES and iPS cells by dual inhibition of SMAD signaling. Nat Biotechnol. 2009;27:275–80.
Jovanovic VM, Salti A, Tilleman H, Zega K, Jukic MM, Zou H, et al. BMP/SMAD pathway promotes neurogenesis of midbrain dopaminergic neurons in vivo and in human induced pluripotent and neural stem cells. J Neurosci. 2018;38:1662–76.
Fang D, Qing Y, Yan S, Chen D, Yan SS. Development and dynamic regulation of mitochondrial network in human midbrain dopaminergic neurons differentiated from iPSCs. Stem cell reports. 2016;7:678–92.
Kriks S, Shim JW, Piao J, Ganat YM, Wakeman DR, Xie Z, et al. Dopamine neurons derived from human ES cells efficiently engraft in animal models of Parkinson’s disease. Nature. 2011;480:547–51.
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;23:569–82.
Sala C, Piëch V, Wilson NR, Passafaro M, Liu G, Sheng M. Regulation of dendritic spine morphology and synaptic function by Shank and Homer. Neuron. 2001;31:115–30.
Gunaydin LA, Grosenick L, Finkelstein JC, Kauvar IV, Fenno LE, Adhikari A, et al. Natural neural projection dynamics underlying social behavior. Cell. 2014;157:1535–51.
Vogt Weisenhorn DM, Giesert F, Wurst W. Diversity matters - heterogeneity of dopaminergic neurons in the ventral mesencephalon and its relation to Parkinson’s Disease. J Neurochem. 2016;139:8–26.
Fearnley JM, Lees AJ. Ageing and Parkinson’s disease: substantia nigra regional selectivity. Brain. 1991;114:2283–301.
Cai H, Liu G, Sun L, Ding J. Aldehyde Dehydrogenase 1 making molecular inroads into the differential vulnerability of nigrostriatal dopaminergic neuron subtypes in Parkinson’s disease. Transl Neurodegeneration. 2014;3:27.
Wu J, Kung J, Dong J, Chang L, Xie C, Habib A, et al. Distinct connectivity and functionality of aldehyde dehydrogenase 1a1-positive nigrostriatal dopaminergic neurons in motor learning. Cell Rep. 2019;28:1167–1181.e1167.
Javoy-Agid F, Ploska A, Agid Y. Microtopography of tyrosine hydroxylase, glutamic acid decarboxylase, and choline acetyltransferase in the substantia nigra and ventral tegmental area of control and Parkinsonian brains. J Neurochem. 1981;37:1218–27.
Damier P, Hirsch EC, Agid Y, Graybiel AM. The substantia nigra of the human brain. II. Patterns of loss of dopamine-containing neurons in Parkinson’s disease. Brain. 1999;122:1437–48.
Yeo G, Burge CB. Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals. J Comput Biol. 2004;11:377–94.
Reese MG, Eeckman FH, Kulp D, Haussler D. Improved splice site detection in Genie. J Comput Biol. 1997;4:311–23.
Johnson MB, Kawasawa YI, Mason CE, Krsnik Z, Coppola G, Bogdanović D, et al. Functional and evolutionary insights into human brain development through global transcriptome analysis. Neuron. 2009;62:494–509.
Furlanis E, Traunmüller L, Fucile G, Scheiffele P. Landscape of ribosome-engaged transcript isoforms reveals extensive neuronal-cell-class-specific alternative splicing programs. Nature Neurosci. 2019;22:1709–17.
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.
McWilliams RR, Gidey E, Fouassier L, Weed SA, Doctor RB. Characterization of an ankyrin repeat-containing Shank2 isoform (Shank2E) in liver epithelial cells. Biochem J. 2004;380:181–91.
Wang W, Li C, Chen Q, van der Goes MS, Hawrot J, Yao AY, et al. Striatopallidal dysfunction underlies repetitive behavior in Shank3-deficient model of autism. J Clin Investig. 2017;127:1978–90.
Bouquier N, Sakkaki S, Raynaud F, Hemonnot-Girard AL, Seube V, Compan V, et al. The Shank3(Venus/Venus) knock in mouse enables isoform-specific functional studies of Shank3a. Front Neurosci. 2022;16:1081010.
Eltokhi A, Gonzalez-Lozano MA, Oettl LL, Rozov A, Pitzer C, Röth R, et al. Imbalanced post- and extrasynaptic SHANK2A functions during development affect social behavior in SHANK2-mediated neuropsychiatric disorders. Mol Psychiatry. 2021;26:6482–504.
Eltokhi A, Rappold G, Sprengel R. Distinct phenotypes of Shank2 mouse models reflect neuropsychiatric spectrum disorders of human patients With SHANK2 variants. Front Mol Neurosci. 2018;11:240.
Lee YS, Yu NK, Chun J, Yang JE, Lim CS, Kim H, et al. Identification of a novel Shank2 transcriptional variant in Shank2 knockout mouse model of autism spectrum disorder. Mol Brain. 2020;13:54.
Hassani Nia F, Woike D, Bento I, Niebling S, Tibbe D, Schulz K, et al. Structural deficits in key domains of Shank2 lead to alterations in postsynaptic nanoclusters and to a neurodevelopmental disorder in humans. Mol Psychiatry. 2022.
Pappas AL, Bey AL, Wang X, Rossi M, Kim YH, Yan H, et al. Deficiency of Shank2 causes mania-like behavior that responds to mood stabilizers. JCI Insight. 2017;2:e92052.
Morales M, Margolis EB. Ventral tegmental area: cellular heterogeneity, connectivity and behaviour. Nat Rev Neurosci. 2017;18:73–85.
Peter S, Ten Brinke MM, Stedehouder J, Reinelt CM, Wu B, Zhou H, et al. Dysfunctional cerebellar Purkinje cells contribute to autism-like behaviour in Shank2-deficient mice. Nat Commun. 2016;7:12627.
Ha S, Lee D, Cho YS, Chung C, Yoo YE, Kim J, et al. Cerebellar Shank2 regulates excitatory synapse density, motor coordination, and specific repetitive and anxiety-like behaviors. J Neurosci. 2016;36:12129–43.
Kim R, Kim J, Chung C, Ha S, Lee S, Lee E, et al. Cell-type-specific Shank2 deletion in mice leads to differential synaptic and behavioral phenotypes. J Neurosci. 2018;38:4076–92.
Lee S, Lee E, Kim R, Kim J, Lee S, Park H, et al. Shank2 deletion in parvalbumin neurons leads to moderate hyperactivity, enhanced self-grooming and suppressed seizure susceptibility in mice. Front Mol Neurosci. 2018;11:209.
Woelfle S, Pedro MT, Wagner J, Schön M, Boeckers TM. Expression profiles of the autism-related SHANK proteins in the human brain. BMC Biol. 2023;21:254.
Willmore L, Cameron C, Yang J, Witten IB, Falkner AL. Behavioural and dopaminergic signatures of resilience. Nature. 2022;611:124–32.
Chaudhury D, Walsh JJ, Friedman AK, Juarez B, Ku SM, Koo JW, et al. Rapid regulation of depression-related behaviours by control of midbrain dopamine neurons. Nature. 2013;493:532–6.
Galter D, Buervenich S, Carmine A, Anvret M, Olson L. ALDH1 mRNA: presence in human dopamine neurons and decreases in substantia nigra in Parkinson’s disease and in the ventral tegmental area in schizophrenia. Neurobiol Dis. 2003;14:637–47.
Grunblatt E, Ruder J, Monoranu CM, Riederer P, Youdim MB, Mandel SA. Differential alterations in metabolism and proteolysis-related proteins in human parkinson’s disease Substantia Nigra. Neurotox Res. 2018;33:560–8.
Bian WJ, Brewer CL, Kauer JA, de Lecea L. Adolescentsleep shapes social novelty preference in mice. Nat Neurosci. 2022;25:912–23.
Wang X, Bey AL, Chung L, Krystal AD, Jiang YH. Therapeutic approaches for shankopathies. Dev Neurobiol. 2014;74:123–35.
Acknowledgements
We express our gratitude to Professor Weidong Le for his technical guidance on ALDH1A1 staining. This project was supported by the National Natural Science Foundation of China (81771222, 31400922) (LS), Natural Science Foundation of Guangdong Province (2024A1515010690) (LS), Guangzhou Key Research Program on Brain Science (202007030011, 202206060001) (LS), Programme of Introducing Talents of Discipline to Universities (B14036).
Author information
Authors and Affiliations
Contributions
LS designed the study, wrote and approved the final version of the manuscript. LS and WL contributed to write the initial draft of the manuscript. YZ, RC, ZS, KW, JC contributed to perform transcriptome data analysis. WL, YC, ZD, XC, SC, SG, SK, XF contributed to work on cell culture and data analysis. YN, QC, WL, GH contributed to perform behavioral tests and molecular assays on animals, GH, SQ generated in vivo electrophysiological data, JZ, YH, HG, XM and KX provided information about the autism proband, YS, JW, LBZ, KFS, KW, LZ, JC contributed to advise on data analysis and manuscript revision.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Lai, W., Zhao, Y., Chen, Y. et al. Autism patient-derived SHANK2BY29X mutation affects the development of ALDH1A1 negative dopamine neuron. Mol Psychiatry (2024). https://doi.org/10.1038/s41380-024-02578-6
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41380-024-02578-6
- Springer Nature Limited