Abstract
Due to the vast clinical and genetic heterogeneity, identification of causal genetic determinants for autism spectrum disorder (ASD) has proven to be complex. Whereas several dozen ‘rare’ genetic variants for ASD susceptibility have been identified, studies are still underpowered to analyse ‘common’ variants for their subtle effects. A recent application of genome-wide association studies (GWAS) to ASD indicated significant associations with the single nucleotide polymorphisms (SNPs) on chromosome 5p14.1, located in a non-coding region between cadherin10 (CDH10) and cadherin9 (CDH9). Here we apply an in vivo bacterial artificial chromosome (BAC) based enhancer-trapping strategy in mice to scan the gene desert for spatiotemporal cis-regulatory activities. Our results show that the ASD-associated interval harbors the cortical area, striatum, and cerebellum specific enhancers for a long non-coding RNA, moesin pseudogene1 antisense (MSNP1AS) during the brain developing stages. Mouse moesin protein levels are not affected by exogenously expressed human antisense RNAs in our transgenic brains, demonstrating the difficulty in modeling rather smaller effects of common variants. Our first in vivo evidence for the spatiotemporal transcription of MSNP1AS however provides a further support to connect this intergenic variant with the ASD susceptibility.
Autism spectrum disorder (ASD) represents an extremely heterogeneous neurodevelopmental syndrome with a complex genetic etiology. While dozens of rare mutations and copy number variations with large effects on ASD susceptibility have been identified in the past decade, studies have been underpowered to analyse common polymorphisms with rather smaller effects1,2,3. A genome-wide association study (GWAS), designed to identify common genetic risk factors underlying ASD, has revealed strong association signals on chromosome 5p14.1 located in a 2.2 million base pairs (bp) gene desert between cadherin10 (CDH10) and cadherin9 (CDH9)4. The most statistically significant association peaked at rs4307059 (P = 10−10), which was flanked by five other SNPs that all achieved genome-wide significance (P < 10−8), indicating that the association at rs4307059 was not due to a technical artifact. The six risk SNPs reside within the same ~100 kb linkage disequilibrium (LD) block, implicating that theses SNPs are tagging the same variants. The common genetic variant, rs4307059, was also associated with social communication phenotypes in general population samples, suggesting that this genetic signal might be a quantitative trait locus for ASD-related social communication phenotypes5.
Although the nearest protein-coding genes, CDH10 and CDH9, encode cell-cell/synapse adhesion molecules that have crucial roles in neural development6, the lack of correlation between rs4307059 genotypes and expression levels of these genes in postmortem adult brain has been described4,7. On the other hand, it has been reported that a long non-coding RNA antisense to moesin (MSN) is transcribed directly at the chromosome 5p.14.1 ASD-associated GWAS site7. When over-expressed in cultured human cell lines, the 3.9-kb non-coding RNA, MSNP1AS (moesin pseudogene 1 antisense) was demonstrated to bind to the transcript of the X chromosome protein-coding gene MSN and negatively regulate MSN protein expression7. In addition, the ASD-associated rs4307059 T allele showed increased expression of the antisense RNA in postmortem temporal cortex of individuals with ASD7. However, these data could not fully explain the involvement of this antisense RNA in the ASD risk. Because both expressions of CDH10/CDH9 and MSNP1AS were all quantified by using postmortem adult brain tissues, we don’t know yet how the expression levels correlated with the ASD susceptibility during embryonic and/or early postnatal brain development. The presence of MSNP1AS expressions in the developing brains has not been confirmed yet, either.
In this study, we hypothesise that the 5p14.1 ASD GWAS peak would indicate the presence of transcriptional regulatory activity in the brain developing stages. To this end, we apply the bacterial artificial chromosome (BAC) based enhancer-trapping strategy in mice8 to efficiently screen the cis-regulatory activities in the target gene desert. We accordingly demonstrate that the 5p14.1 ASD-associated interval actually harbors the cortical area, striatum, and cerebellum specific enhancers, and our BAC transgenic mouse line does express the antisense RNA, MSNP1AS, in crucial developmental periods for ASD etiology.
Results
Bacterial artificial chromosome (BAC) selection and modification for enhancer-trapping scan at the 5p14.1 ASD-associated locus
The 5p14.1 ASD-associated GWAS peak had been mapped ~1 million bp from either the nearest cadherin gene. Since the LD block encompassing the risk SNPs contained a highly conserved genomic element (log odds score = 3,480 by phastCons in UCSC Genome browser in Fig. 1a), it was hypothesised that these SNPs were capturing the association of functional variants that regulate the expression of either CDH10 or CDH9 from a long distance4. Contrary to their expectation, there was no correlation between the ASD-associated marker genotypes and expression of either CDH10 or CDH9 at least in the adult postmortem brains4,7, retaining the possibility that the SNP genotypes affect the expression levels of those genes only at the embryonic and/or developmental stages.
To examine the ASD-associated non-coding region for regulatory activities in the context other than the limited human resources, we used BAC scan approach in an in vivo mouse transgenic reporter assay8. This strategy could allow the rapid and efficient scanning of large genomic intervals for cis-regulatory elements, and be readily applied to any locus of interest. We accordingly utilized three human BACs shown in Fig. 1a, which together span 415.4 kb. Human BAC2 (RP11-261G10) covered the entire ASD-associated LD block (100 kb), including the six risk SNPs and moesin pseudogene 1 (MSNP1) depicted in Fig. 1b. By sequencing, all the SNPs in Human BAC2 were confirmed to be the major version (risk version). For instance, SNP rs4307059 (C/T), the variant exhibiting the strongest association to ASD was common T version. On the other hand, Human BAC1 (RP11-140M9) and Human BAC3 (RP11-99D18) were selected not to contain the ASD-associated LD block (Fig. 1a).
We next employed a web-based tool “ECR browser” (ecrbrowser.decode.org) to compare multiple mammalian genome sequences corresponding to Human ASD-associated locus and examined the evolutional conservation. As a result, the associated region was highly conserved among primates (Chimpanzee and Rhesus macaque) but not in rodents (Mouse and Rat), particularly for the sequences from which MSNP1AS was transcribed (Fig. 1b). Hence we selected Mouse BAC2 equivalent to Human BAC2 in consideration of its evolutional conservation to the maximum extent for analysing the enhancer activities (Fig. 1a).
Each BAC was tagged through a Tn1000 transposon-mediated random insertion of a β-galactosidase (LacZ) gene driven by a β-globin minimal promoter9, and the insertion sites were determined by sequencing9. In Human BAC2 clone, Tn1000 βglobin-LacZ cassette was inserted at chr5: 25968832, which is between rs4307059 (chr5: 25967453) and rs4327572 (chr5: 25972571), not overriding any risk SNPs (Fig. 1b). More simply, the reporter cassette was integrated at 1,379 bp upstream from rs4307059 and 3,739 bp downstream from rs4327572. Through this type of BAC modification, the reporter cassette functions as an enhancer trap capturing any long-range enhancers contained in the BAC that can act upon the β-globin minimal promoter to drive region- and temporal-specific LacZ expression8,9. Each reporter modified BAC was then injected into fertilized mouse eggs to generate stable transgenic mouse (Tg) lines.
Only Human BAC2 encompassing the ASD-associated SNPs captured brain enhancer activities
First, we analysed the LacZ expressions of Human BAC Tg lines at embryonic day 12.5 (E12.5). Human BAC2 Tg (Fig. 2b) and Human BAC3 Tg (Fig. 2c) captured enhancer activities mainly in dorsal sides of the embryonic spinal cord, but Human BAC1 Tg (Fig. 2a) did not show any LacZ signals. Then we scanned the enhancer activities of the Human BAC Tg lines at postnatal day 7 (P7) in the whole brains and in the coronal sections. As the results, only Human BAC2 Tg (Fig. 2f,j) captured LacZ reporter expressions specific for the cerebral cortex, cerebellum (Cb), and striatum (St). In the cerebral cortex, LacZ signals clearly corresponded to primary somatosensory cortex (S1) and primary visual cortex (V1). On the other hand, Human BAC1 Tg (Fig. 2e,i) and Human BAC3 Tg (Fig. 2g,k) did not harbor any brain enhancer activities. As the region-specific LacZ expressions were observed only in Human BAC2 but not in the overlapping Human BAC3, the enhancers should reside within the non-overlapped 95.3 kb interval (Fig. 1a), meaning that the 100 kb LD block spanning all the risk variants might drive cis-regulatory activities in the particular areas of cerebral cortex, striatum, and cerebellum. Although the existence of more diffuse, subtle problems in the brain structure and function across the entire brains in ASD individuals have been accumulated in the literature, these structures are repeatedly reported to have correlative changes with the disease10,11,12,13,14,15.
Since all the six SNPs associated with ASD risk in Human BAC2 were confirmed to be the risk versions by direct sequencing, the brain enhancer activities we captured in this scan were for the risk genotypes.
In addition, we found that Mouse BAC2 equivalent to Human BAC2 (Fig. 1a) did not harbor any enhancer activities (Fig. 2d,h,l). Because the ASD-associated interval was highly conserved among primates but not in rodents (Fig. 1b), it is suggested that the cis-regulatory modules captured in Human BAC2 could be unique for primates.
Enhancer activities at 5p14.1 ASD-associated locus were localised in the S1 cortical layer II/III, striatal, and cerebellar neurons
To precisely probe the cell types that harbored enhancer activities in Human BAC2 Tg, we prepared the brain tissue samples and stained with antibodies for β-galactosidase (βGal) and marker molecules. First, the tissues from somatosensoty cortex (S1) enclosed by the black line in Fig. 2j were immuno-stained to determine which layer contains the βGal expressing cells. At P7, the βGal expressing cells co-expressed Cux1 (Fig. 3a) and Bhlhb5 (Fig. 3b) both known as upper layer markers, but they were not co-stained with the layer IV marker, RORβ (Fig. 3c), demonstrating that the enhancer activities resided in layer II/III cortical neurons. Then, the striatum (St) tissues enclosed by the black line in Fig. 2j were immuno-stained at P7. Almost all the βGal expressing cells co-stained with the differentiated neuron marker, NeuN (Fig. 3d). Next, the cerebellum (Cb) tissues in Fig. 2f were stained at P7. The βGal expressing cells existed mainly in the external granular layer (EGL) above the Purkinje cell layer marked with GAD67 expression (Fig. 3e). In the cerebellum at P56, the βGal expressing cells were present in the granule cell layer (GCL) (Fig. 3f) and co-localised with Zic2, a granule cell marker (Fig. 3g). Collectively, the enhancer activities at the 5p14.1 ASD-associated interval tended to be localized at neurons in those brain structures reported to have the implication with the disease10,11,12,13,14,15. Incidentally, callosal projection neurons in upper cortical layers (II/III), whose axons make up the corpus callosum connecting the two cerebral hemispheres, play key roles in high-level associative connectivity and their dysgenesis is reported to be one of only a few reproducibly identified pathologies in ASD16. The upper layer-specific enhancer activities we detected are thus remarkable on this point.
MSNP1AS was confirmed to be transcribed in Human BAC2 Tg mouse brains and the expression level well correlated with that of LacZ mRNA
To know the developmental change of LacZ expression patterns in Human BAC2 Tg, we stained whole brain samples collected from E17.5 to P56 (Fig. 4a, upper column) and coronal sections from E17.5 to P7 (Fig. 4a, lower column). As the results, we found that LacZ expressions in the cerebral cortex gradually became thicker and broader from E17.5 to P7 and were maintained to the adult stage (P14, P21, P56). LacZ expressions in the cerebellum and striatum were also kept at considerable levels through all the stages analysed. These results indicated that the brain enhancers at 5p14.1 ASD-associated interval were continuously in action from the embryonic to the adult stage.
To determine whether primate specific MSNP1AS is actually transcribed from the ASD GWAS signal site in our Human BAC2 Tg mice, we next performed quantitative PCR assays on total RNA prepared from the brain samples. We extracted total RNAs from the boxed regions tagged with the somatosensory cortex (S1 or s1), striatum (St) and cerebellum (Cb) from E17.5 to P7 (Fig. 4a). We then used TaqMan probes for MSNP1AS and LacZ to compare those expressions with each other. The quantitative assays revealed that MSNP1AS was indeed expressed at detectable ranges (expression relative to Gapdh ranged from 0.0001 to 0.03) although its expression level was lower than the LacZ mRNA expression level (Fig. 4b–d). Not surprisingly, MSNP1AS and LacZ mRNA were not detected (Ct >40 cycles) in wild type, Human BAC1 Tg, Human BAC3 Tg, and Mouse BAC2 Tg mouse brain tissues. By calculating Pearson correlation coefficient (r) and P value between LacZ mRNA expression and MSNP1AS RNA expression in Human BAC2 Tg mouse brain tissues, we found the significant correlation between them (Fig. 4b–d). These data indicated that the brain enhancer activities detected in Human BAC2 Tg mice might regulate MSNP1AS expression.
In addition to the LacZ blue-stained region (S1; somatosensory cortex), we sampled two regions with little LacZ staining at P7 (A; auditory cortex, H; hypothalamus in Supplementary Fig. S1-a) as the reference and quantified the LacZ mRNA/MSNP1AS expression levels to confirm the ‘region-specific’ enhancer activities in Human BAC2 Tg mouse brains. As the results, the LacZ mRNA/MSNP1AS transcript levels in blue-coloured S1 were higher than those in the non-stained A and H (Fig. S1-b, S1-c), indicating that the transcription was enhanced in blue-stained regions.
When we carefully observed the panel Fig. 4a at P7, the concentration of blue colour in the cerebellum was thicker than that in the somatosensory cortex/striatum. Correspondingly the LacZ mRNA/MSNP1AS expression levels in cerebellum were one-order higher than those in somatosensory cortex/striatum, well quantifying the feature of region specific enhancer activities. Similarly, temporal specificity of the S1 (s1) enhancer well correlated with our quantitative data (Fig. 4a,b).
Msn mRNA and protein levels were almost unchanged in Human BAC2 Tg mouse brains
Since it was reported that MSNP1AS (NT_006576.16) had 94% sequence identity in the reverse complement to Human MSN mRNA (NM_002444.2) and its over-expression in cultured human cells caused decreases in MSN protein levels7,17 (Fig. 5d), we aligned MSNP1AS sequence with the reverse complement of mouse Msn mRNA (NM_010833.2). As a result, we found that MSNP1AS had 68.6% matching possibility to mouse Msn mRNA complement (see Supplementary Fig. S2). We therefore hypothesised that MSNP1AS might not affect on endogenous Msn mRNA and protein levels in Human BAC2 Tg mouse brains. To rigorously compare the Msn mRNA amounts between wild-type and Human BAC2 Tg mouse brains, we performed quantitative PCR assays on the total RNA samples (P7) extracted from the boxed areas in Fig. 4a. Consequently, the Msn mRNA amounts in the somatosensory cortex (S1), striatum, and cerebellum in Human BAC2 Tg at P7 were slightly increased but almost similar to those in wild-type mice (Fig. 5a). In addition, to know whether exogenous MSNP1AS in Human BAC2 Tg mouse brain affect on the Msn protein amounts, we performed Western Blot analyses with anti-Msn antibodies to protein samples extracted from the somatosensory cortex (S1), striatum, and cerebellum at P7 (Fig. 5b, the original whole image can be found as Supplementary Fig. S3). As the results, we detected no significant differences in Msn protein between Human BAC2 Tg and the control wild-type mice (Fig. 5c). Hence, we confirmed that exogenously expressed MSNP1AS in Human BAC2 Tg mouse brains has little influence on the Msn protein amount (Fig. 5d).
Incidentally, we didn’t observe distinct morphological changes in the Tg mouse brains at P7 (see Supplementary Fig. S4). Additionally, we didn’t detect abnormal behaviours suggestive of neurodevelopmental disorders: among 149 adult Tg mice we observed, there was no evidence for systemic tremors or epileptic seizures. These adult Tg mice had no problems in sexual communication and never showed repetitive self-grooming. Among 370 Tg pups (P0–P7) we obtained, the deliveries were always normal without any premature birth. For these pups, neglected nursing did not occur, implying their ultrasonic vocalization might be normal. Besides, among 67 Tg embryos studied, we never found early prenatal abnormalities.
As was already shown in Fig. 3, we confirmed typical staining patterns of various neuronal cell markers in the somatosensory cortex (i.e. Cux1, Bhlhb5, RORβ), striatum (NeuN) and cerebellum (Zic2), indicating that our Human BAC2 Tg mice at least develop normal cytoarchitecture in the brain. Moreover the usual staining pattern of a neuronal activity dependent transcription factor RORβ in the Tg somatosensory cortex would suggest synaptic connections at this territory (i.e. layer IV) are virtually normal in the Tg mice.
A forebrain enhancer for CDH10, one of the nearest genes from the ASD associated SNPs, mainly resided in the vicinity of the gene
CDH10 and CDH9, the nearest protein-coding genes from the ASD GWAS peak, encode type II classic cadherins that mediate cell-cell/synapse adhesion, playing crucial roles in various steps of neural development6. In the original GWAS report, Wang et al. assessed the expression of CDH10 and CDH9 in the normal human fetal brain at the mid-gestation and found that while CDH9 was expressed uniformly at low levels and uninformative in the nervous system, the CDH10 expression was robust in the frontal cortex4. Expression patterns for CDH10 were similar to those for CNTNAP218 and AUTS219, molecules now well-established to be involved in the ASDs. Moreover, neuroanatomical studies had repeatedly implicated abnormal brain development on the frontal lobes in ASD. In consideration of these findings, we lastly focused on the frontal CDH10 expression pattern in developing brains.
To probe the enhancer regulating the frontal CDH10 expression, we selected additional Human BAC4 covering the 5′ upstream region of CDH10 and generated transgenic mice for enhancer trapping (Fig. 6a). Consequently, we found that Human BAC4 Tg captured the human specific CDH10 expression pattern enriched in the forebrain4 at the early developmental stages (from P0 to P7, Fig. 6b). Furthermore, we confirmed that the βGal expressing forebrain neurons in Human BAC4 Tg also expressed AUTS2, a well-known marker for frontal identities (Fig. 6c). Thus, contrary to our expectation that 5p14.1 ASD-associated SNPs might reside within a long distant enhancer for the CDH10 expression at early developmental stages, we concluded that a forebrain enhancer for CDH10 mainly resides in the vicinity of the gene.
Discussion
All of the common variants (SNPs) associated with ASD in GWAS studies thus far are located in intergenic regions4,20 or intronic sequences21, outside the protein coding regions. Regarding one of these associations, Wang et al. speculated that the 5p.14.1 signals were capturing the functional variants that regulate the neighboring gene expressions4. It is noteworthy that the data list reported by Maurano et al. contained two 5p14.1 ASD-associated SNPs (rs4307059 and rs10038113) resided in DNaseI hypersensitive sites, the markers for altered chromatin structures by transcription factors’ bindings, supporting the hypothesis that these risk SNPs might be regulatory variants22. In our present study, we performed a Human BAC scan approach to examine the 5p14.1 gene desert for regulatory activities and demonstrated that rs4307059 and five other SNPs fall within in vivo brain enhancers which promote non-coding RNA expressions in the cortical areas, striatum, and cerebellum (Fig. 5d, Fig. S1). We also showed that the functional non-coding RNA, MSNP1AS, was indeed transcribed exogenously in our Human BAC2 Tg mice harboring the ASD-associated locus (Fig. 4b–d). Due to the lack of postmortem brain samples during developmental stages, it is extremely difficult to examine the MSNP1AS expression directly in Human fetus/neonate brains, highlighting the value of our results. Although Kerin et al. tried quantifying MSNP1AS by using a purchased total RNA from a human fetal cerebral cortex, the antisense RNA transcript was not detected7. By applying the BAC transgene copy number assay using a LacZ probe to the genomic DNA23, we confirmed that our Tg mice carried more than ten copies of full-length Human BAC2 corresponding to the MSNP1 locus, much larger copies than the endogenous state. This would be the right reason why we were likely to be able to detect the antisense RNA transcripts in the developmental stages.
Encoding a member of the ERM (ezrin/radixin/moesin) family of proteins, moesin is known to link the cellular membrane proteins to the actin cytoskelton and participate in variety of cell signaling pathways. Although neither brain development nor behaviour has been examined in moesin knockout mice, accumulating evidence has already indicated that moesin functions both presynaptically to regulate actin-dependent growth cone motility24,25 and postsynaptically to induce dendritic spine formation26,27. It has been shown that MSNP1AS binds MSN mRNA transcribed from MSN gene on chromosome X, and its over-expression in cultured human cells causes decreases in MSN protein7,17 (Fig. 5d). As the very low levels of moesin protein were observed in the cerebral cortex of fetuses with Down Syndrome28, moesin dysregulation at critical developmental stages might also lead to abnormal brain development in individuals with ASD.
However, as depicted in Fig. 5d, Kerin et al. reported that MSN protein is unchanged in postmortem brain of individuals with ASD7, just like the case with our Tg mouse brain. As the machinery, they showed (1) MSNP1AS is increased, (2) MSN mRNA is also increased (slightly increased in our Tg mouse brains; Fig. 5a), (3) MSN protein is unchanged, (4) MSN protein levels were negatively correlated with the difference between MSN and MSNP1AS expression levels. From these results, they made a point that the antisense RNA could contribute to the MSN protein regulation. They also demonstrated that, in the over-expression experiment, the reduction effect was time-dependent and the reduction rate became smaller after 72 hours than 24 hours. This decreasing trend was also sometimes conflicting among experiments conducted in different cell lines. In the light of these facts, they explained the unchanged MSN protein levels in adult postmortem brains. Taken together, we interpret the absence of Msn protein reduction in Human BAC2 Tg as the similar situation to human postmortem brains. Compared to the homogeneous population in the cultured cells, heterogeneous cell assembly in the human postmortem/BAC-Tg brain might additionally minimize the decreasing trend, if any (Fig. 5d).
Additionally, in Human BAC2 Tg mice, endogenous Msn mRNA transcribed from Msn gene on chromosome X has 68.6% similarity at the maximum to MSNP1AS derived from the Human BAC2 transgene (see Supplementary Fig. S2), which might not be enough to reduce the Msn mRNA and protein levels (Fig. 5a–c). Although the transgene copy number was more than two in the Tg mice as was mentioned above, the exogenously expressed antisense RNA amount might be still lower than that of endogenous Msn mRNA. Indeed, expression levels of MSNP1AS quantified in Fig. 4b–d tended to be lower than those of Msn mRNA determined in Fig. 5a, whereas the antisense RNA levels were relatively similar to the MSN mRNA levels in human postmortem cerebral cortex7. These two reasons, the lower matching possibility and the lower expression level in the heterogeneous tissue, might also explain why Msn protein amount was not affected in Human BAC2 Tg (Fig. 5d).
For the future steps, it should be needed to clarify whether or not this Tg line is behaviorally normal by utilizing the general criteria including social behavior tests. In addition to the current standard behavioural phenotyping assays for mouse models of autism29,30, more sensitive measures and techniques that have been developed recently to catch very subtle differences in ASD cases31 might be applied to our Tg mice. Genome editing methodology could further allow to replace mouse MSN region with human sequences, strengthening and/or humanizing the Tg phenotype.
Noticeably, the MSNP1AS was reported to be significantly increased in individuals with the ASD-risk genotypes. For example, MSNP1AS expression was 22.0-fold higher in individuals with the ASD-associated rs4307059 T/T genotype compared to the non-risk C/C genotype7. As we confirmed that all the six SNPs associated with ASD in Human BAC2 were risk versions, the enhancer activities we detected were for the risk genotypes. Future work may investigate whether the risk genotypes have stronger enhancer activities relative to the non-risk genotypes or not.
It is reported that long non-coding RNAs (lncRNAs) often show precise temporal and spatial patterns of expression in human brains32,33,34,35, and particularly, the differential expression of lncRNAs in postmortem ASD brains was reported36. Although the sample size was relatively small, the data showed that some lncRNAs were unique to the prefrontal cortex while other lncRNAs were abundant in the cerebellum36. Given the roles of lncRNAs in brain development and function, their dysregulation can stand as contributing factors to neurodevelopmental disorders17,37,38. The spatio-temporal enhancer activities for a lncRNA MSNP1AS hence indicate the possible connection of this transcript to the disease susceptibility.
As we showed in Fig. 1b, MSNP1AS transcript is primate specific. Notably, the majority of lncRNAs are not conserved in comparison to the prevalence of conserved protein-coding genes39,40. Considering this with the hypothesis that human specific lncRNA could be linked to human complexity and disorders17,38,41, the ASD-associated interval might simultaneously include MSNP1AS enhancers delineating the human traits.
Collectively, the 5p14.1 ASD-associated interval possesses a dual aspect, the presence of a functional non-coding RNA and the cis-regulatory elements that control its spatio-tamporal expression. ASD-associated SNPs in this locus might therefore assert their influence on disease susceptibility by affecting brain enhancer activities for MSNP1AS.
Our study represents one of the efficient applications of in vivo Human BAC Tg strategy as a “post-GWAS tool” for non-coding variants to scan cis-regulatory activities implicated in complex diseases. Since common variants have more subtle effects on pathogenesis than rare variants, it has been extremely challenging to model the effect in animals. In this context, our results provide valuable information as a part of worldwide efforts to interrogate the complex genetic architecture of ASD, and help elucidate the pervasive involvement of regulatory variations in the common disease.
Method
Human and Mouse BAC clones used in this study
Human BAC1 (RP11-140M9), Human BAC2 (RP11-261G10), Human BAC3 (RP11-99D18), Human BAC4 (RP11-2G19), and Mouse BAC2 (RP23-225M16) were purchased from BACPAC Resources (CHORI). By sequencing, all the six SNPs associated with ASD risk in Human BAC2 were confirmed to be major version (risk version). For instance, rs4307059 was common T version, and the five others in linkage disequilibrium (LD) block were also common version. UCSC Genome browser was used to annotate the BAC end positions and SNP locations in Fig. 1.
Bioinformatic analyses for evolutional conservations
A web-based tool “ECR browser” (ecrbrowser.decode.org) was employed to compare multiple vertebrate genome sequences corresponding to ASD GWAS SNP region. A vertical axis cut-off of 50% to 100% identity was utilized to visualize the significant conservation (Fig. 1b).
Transposon-mediated BAC modification
All the BACs were modified by in vitro random transposition of Tn1000 βglobin-LacZ9 and the transposon insertion sites were determined by sequencing as described previously42.
Generation of BAC transgenic mice
All animal care and experiments were performed in accordance with the Guidelines for Animal Experiments approved by the Animal Care and Use Committee of the National Institute of Neuroscience, Japan (approval number: 27-21). BAC DNA was purified by using Nucleobond BAC 100 (Macherey-Nagel), linearized with PI-SceI (NEB), and microinjected into pronuclei of B6C3F1 (SLC, Japan) fertilized eggs at the concentration of 1.2 ng/μl as detailed previously42. The presence of the BAC vector end sequences was always confirmed by PCR using the same primers as was previously43 to eliminate the possible fortuitous deletions. Multiple independent transgenic lines were generated for each BAC clone, and the representative LacZ expression patterns confirmed by multiple lines were shown in the figures. Human BAC2 Tg line (line No. 3) had been maintained in B6C3F1 background for developmental LacZ expression pattern analyses, RNA quantification assays, and Western blot analyses.
Detection of β-galactosidase activities
E12.5 embryos and E17.5 to P56 brains were harvested from BAC transgenic mice. Detection of β-balactosidase (βGal) activities was performed in whole-mount samples or in sliced brains as previously described42.
Immunohistochemistry for the brain sections
Immunostaining was performed according to the standard methods. Primary antibodies and dilutions used were chicken anti-beta galactosidase (βGal, 1:3000, abcam ab9361), rabbit anti-Cux1 (1:3000, Santa Cruz Biotechnology sc-13024), goat anti-Bhlhb5 (1:3000, Santa Cruz Biotechnology sc-6045), rabbit anti-RORβ (1:6000, Diagenode pAb-001–100), mouse anti-NeuN (1:500, Millipore MAB377), mouse anti-GAD67 (1:500, Millipore MAB5406), rabbit anti-Zic2 (1:100, provided by Dr. Jun Aruga44), and rabbit anti-AUTS2 (1:300, ATLAS antibodies HPA000390). Appropriate secondary antibodies were from the Molecular Probes Alexa series and used at dilutions of 1:600.
Quantitative reverse-transcription PCR
Total RNA was extracted from wild-type and BAC transgenic mouse brain tissues by using Trizol Regent (Invitrogen) and High Pure RNA Tissue Kit (Roche), as described in the manufacturer’s protocols. cDNA was generated by the use of ReverTra Ace qPCR RT Master Mix with gDNA Remover (TOYOBO) according to the manufacturer’s protocol. qPCR assays were performed with TaqMan Gene Expression Assays (Applied Biosystems) running on a ABI 7900HT system and the data was analyzed with SDS2.1 software. The probe for MSNP1AS had already been designed by Campbell’s Lab7 to target the most divergent sequence between MSNP1AS and the mature MSN transcript, and was custom-synthesized by Applied Biosystems. TaqMan Gene Expression Assay for Msn (assay ID Mm00447889_m1), LacZ (assay ID Mr00529369_cn) and Gapdh (assay ID Mm99999915_g1) were also purchased from Applied Biosystems. All results presented represent normalization to Gapdh (glyceraldehyde-3-phosphate dehydrogenase) expression.
For each time point (E17.5-P7) and each brain structure (somatosensory cortex, striatum, cerebellum), 4 independent mouse brain tissues were used to extract total RNA. All qPCR reactions were performed in triplicate. Pearson correlation coefficient (r) and P value between LacZ mRNA expression and MSNP1AS RNA expression were calculated by using Microsoft Excel 2011 statistical tools.
Western blotting
Total proteins were extracted from wild-type and Human BAC2 Tg mouse brains and separated by 10% polyacrylamide gel electrophoresis. Proteins were transferred to PVDF membrane (Millipore IPVH00010) with AE-6687 HorizeBLOT system (ATTO). Primary antibodies and dilutions used were rabbit anti-Moesin (Msn, 1:1000, Cell Signaling 3146) and rabbit anti-GAPDH (14C10, 1:2000, Cell Signaling 2118). Secondary antibody was anti-rabbit IgG, horseradish peroxidase-linked (GE Healthcare NA9340V) diluted 1:5000. Signal bands were detected by using ECL Prime Western Blotting Detection Regent (GE Healthcare RPN2232) and images were captured on LAS-4000 Luminescent Image Analyzer (Fujifilm). Total density of each Msn and Gapdh protein band was determined with ImageJ (version: 2.0.0) software. For each sample, the ratio of Msn to Gapdh total density was calculated. Msn-to-Gapdh ratios were analyzed by Student’s t test for comparison of wild-type to Human BAC2 Tg brain samples (n = 3 for each brain regions).
Additional Information
How to cite this article: Inoue, Y. U. and Inoue, T. Brain enhancer activities at the gene-poor 5p14.1 autism-associated locus. Sci. Rep. 6, 31227; doi: 10.1038/srep31227 (2016).
Supplementary Material
Acknowledgments
We thank Dr. Hoshino, M. for fruitful discussions. We also thank Ms. Asami, J. for technical assistance. This work was supported by JSPS KAKENHI Grant Numbers 24510280, 16K10004 to Y.U.I., 24300130, 16H06528 to T.I. and Intramural Research Grants for Neurological and Psychiatric Disorders of NCNP (24-12, 26-9, and 27-7) to T.I.
Footnotes
The authors declare no competing financial interests.
Author Contributions Y.U.I. and T.I. designed the experiments. Y.U.I. performed the experiments and analysed the data. Y.U.I. and T.I. discussed the results and wrote the manuscript.
References
- Geschwind D. H. Autism: many genes, common pathways? Cell 135, 391–395 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Geschwind D. H. Genetics of autism spectrum disorders. Trends. Cogn. Sci. 15, 409–416 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Berg J. M. & Geschwind D. H. Autism genetics: searching for specificity and convergence. Genome Biol. 13, 247 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang K. et al. Common genetic variants on 5p14.1 associate with autism spectrum disorders. Nature 459, 528–533 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- St Pourcain B. et al. Association between a high-risk autism locus on 5p14 and social communication spectrum phenotypes in the general population. Am. J. Psychiatry 167, 1364–1372 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hirano S. & Takeichi M. Cadherins in brain morphogenesis and wiring. Physiol. Rev. 92, 597–634 (2012). [DOI] [PubMed] [Google Scholar]
- Kerin T. et al. A noncoding RNA antisense to moesin at 5p14.1 in autism. Sci. Transl. Med. 4, 128ra40 (2012). [DOI] [PubMed] [Google Scholar]
- Asami J., Inoue Y. U., Terakawa Y. W., Egusa S. F. & Inoue T. Bacterial artificial chromosomes as analytical basis for gene transcriptional machineries. Transgenic Res. 20, 913–924 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morgan B. A. et al. Transposon tools for recombinant DNA manipulation: characterization of transcriptional regulators from yeast, Xenopus, and mouse. Proc. Natl. Acad. Sci. USA 93, 2801–2806 (1996). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Amaral D. G., Schumann C. M. & Nordahl C. W. Neuroanatomy of autism. Trends Neurosci. 31, 137–145 (2008). [DOI] [PubMed] [Google Scholar]
- Hutsler J. J. & Casanova M. F. Review: Cortical construction in autism spectrum disorder: columns, connectivity and the subplate. Neuropathol Appl Neurobiol. 42, 115–134 (2016). [DOI] [PubMed] [Google Scholar]
- Langen M. et al. Changes in the developmental trajectories of striatum in autism. Biol Psychiatry. 66, 327–333 (2009). [DOI] [PubMed] [Google Scholar]
- Langen M. et al. Changes in the development of striatum are involved in repetitive behavior in autism. Biol Psychiatry. 76, 405–411 (2014). [DOI] [PubMed] [Google Scholar]
- Hampson D. R. & Blatt G. J. Autism spectrum disorders and neuropathology of the cerebellum. Front Neurosci. 9, 420 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Phillips J. R., Hewedi D. H., Eissa A. M. & Moustafa A. A. The cerebellum and psychiatric disorders. Front Public Health. 3, 66 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fame R. M., MacDonald J. L. & Macklis J. D. Development, specification, and diversity of callosal projection neurons. Trends Neurosci. 34, 41–50 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilkinson B. & Campbell D. B. Contribution of long noncoding RNAs to autism spectrum disorder risk. Int. Rev. Neurobiol. 113, 35–59 (2013). [DOI] [PubMed] [Google Scholar]
- Peñagarikano O. et al. Absence of CNTNAP2 leads to epilepsy, neuronal migration abnormalities, and core autism-related deficits. Cell 147, 235–246 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bedogni F. et al. Autism susceptibility candidate 2 (Auts2). encodes a nuclear protein expressed in developing brain regions implicated in autism neuropathology. Gene Expr Patterns. 10, 9–15 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weiss L. A. & Arking D. E. Gene Discovery Project of Johns Hopkins & the Autism Consortium, Daly, M. J. & Chakravarti, A. A genome-wide linkage and association scan reveals novel loci for autism. Nature 461, 802–808 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Anney R. et al. A genome-wide scan for common alleles affecting risk for autism. Hum. Mol. Genet. 19, 4072–4082 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maurano M. T. et al. Systematic localization of common disease-associated variation in regulatory DNA. Science 337, 1190–1195 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chandler K. J. et al. Relevance of BAC transgene copy number in mice: transgene copy number variation across multiple transgenic lines and correlations with transgene integrity and expression. Mamm. Genome 18, 693–708 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Paglini G., Kunda P., Quiroga S., Kosik K. & Cáceres A. Suppression of radixin and moesin alters growth cone morphology, motility, and process formation in primary cultured neurons. J. Cell Biol. 143, 443–455 (1998). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim H. S., Bae C. D. & Park J. Glutamate receptor-mediated phosphorylation of ezrin/radixin/moesin proteins is implicated in filopodial protrusion of primary cultured hippocampal neuronal cells. J. Neurochem. 113, 1565–1576 (2010). [DOI] [PubMed] [Google Scholar]
- Furutani Y. et al. Interaction between telencephalin and ERM family proteins mediates dendritic filopodia formation. J. Neurosci. 27, 8866–8876 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sanchez A. M. et al. Rapid signaling of estrogen to WAVE1 and moesin controls neuronal spine formation via the actin cytoskeleton. Mol. Endocrinol. 23, 1193–1202 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lubec B., Weitzdoerfer R. & Fountoulakis M. Manifold reduction of moesin in fetal Down syndrome brain. Biochem. Biophys. Res. Commun. 286, 1191–1194 (2001). [DOI] [PubMed] [Google Scholar]
- Silverman J. L., Yang M., Lord C. & Crawley J. N. Behavioural phenotyping assays for mouse models of autism. Nat Rev Neurosci. 11, 490–502 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wöhr M. & Scattoni M. L. Behavioural methods used in rodent models of autism spectrum disorders: current standards and new developments. Behav Brain Res. 251, 5–17 (2013). [DOI] [PubMed] [Google Scholar]
- Torres E. B. et al. Toward Precision Psychiatry: Statistical Platform for the Personalized Characterization of Natural Behaviors. Front Neurol. 7, 8 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lipovich L. et al. Developmental changes in the transcriptome of human cerebral cortex tissue: long noncoding RNA transcripts. Cereb. Cortex 24, 1451–1459 (2014). [DOI] [PubMed] [Google Scholar]
- Cabili M. N. et al. Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses. Genes Dev. 25, 1915–1927 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Derrien T. et al. The GENCODE v7 catalog of human long noncoding RNAs: analysis of their gene structure, evolution, and expression. Genome Res. 22, 1775–1789 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ponjavic J., Oliver P. L., Lunter G. & Ponting C. P. Genomic and transcriptional co-localization of protein-coding and long non-coding RNA pairs in the developing brain. PLoS Genet. 5, e1000617 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ziats M. N. & Rennert O. M. Aberrant expression of long noncoding RNAs in autistic brain. J. Mol. Neurosci. 49, 589–593 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ng S. Y., Lin L., Soh, B. S. & Stanton L. W. Long noncoding RNAs in development and disease of the central nervous system. Trends. Genet. 29, 461–468 (2013). [DOI] [PubMed] [Google Scholar]
- Briggs J. A., Wolvetang E. J., Mattick J. S., Rinn J. L. & Barry G. Mechanisms of Long Non-coding RNAs in Mammalian Nervous System Development, Plasticity, Disease, and Evolution. Neuron 88, 861–877 (2015). [DOI] [PubMed] [Google Scholar]
- Pang K. C., Frith M. C. & Mattick J. S. Rapid evolution of noncoding RNAs: lack of conservation does not mean lack of function. Trends. Genet. 22, 1–5 (2006). [DOI] [PubMed] [Google Scholar]
- Mercer T. R., Dinger M. E. & Mattick J. S. Long non-coding RNAs: insights into functions. Nat. Rev. Genet. 10, 155–159 (2009). [DOI] [PubMed] [Google Scholar]
- Pollard K. S. et al. An RNA gene expressed during cortical development evolved rapidly in humans. Nature 443, 167–172 (2006). [DOI] [PubMed] [Google Scholar]
- Inoue T. et al. Analysis of mouse Cdh6 gene regulation by transgenesis of modified bacterial artificial chromosomes. Dev. Biol. 315, 506–520 (2008). [DOI] [PubMed] [Google Scholar]
- Ito Y. et al. Additive dominant effect of a SOX10 mutation underlies a complex phenotype of PCWH. Neurobiol. Dis. 80, 1–14 (2015). [DOI] [PubMed] [Google Scholar]
- Nagai T. et al. Zic2 regulates the kinetics of neurulation. Proc. Natl. Acad. Sci. USA 97, 1618–1623 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.