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Identification of FMRP target mRNAs in the developmental brain: FMRP might coordinate Ras/MAPK, Wnt/β-catenin, and mTOR signaling during corticogenesis


Corticogenesis is one of the most critical and complicated processes during embryonic brain development. Any slight impairment in corticogenesis could cause neurodevelopmental disorders such as Fragile X syndrome (FXS), of which symptoms contain intellectual disability (ID) and autism spectrum disorder (ASD). Fragile X mental retardation protein (FMRP), an RNA-binding protein responsible for FXS, shows strong expression in neural stem/precursor cells (NPCs) during corticogenesis, although its function during brain development remains largely unknown. In this study, we attempted to identify the FMRP target mRNAs in the cortical primordium using RNA immunoprecipitation sequencing analysis in the mouse embryonic brain. We identified 865 candidate genes as targets of FMRP involving 126 and 118 genes overlapped with ID and ASD-associated genes, respectively. These overlapped genes were enriched with those related to chromatin/chromosome organization and histone modifications, suggesting the involvement of FMRP in epigenetic regulation. We further identified a common set of 17 FMRP “core” target genes involved in neurogenesis/FXS/ID/ASD, containing factors associated with Ras/mitogen-activated protein kinase, Wnt/β-catenin, and mammalian target of rapamycin (mTOR) pathways. We indeed showed overactivation of mTOR signaling via an increase in mTOR phosphorylation in the Fmr1 knockout (Fmr1 KO) neocortex. Our results provide further insight into the critical roles of FMRP in the developing brain, where dysfunction of FMRP may influence the regulation of its mRNA targets affecting signaling pathways and epigenetic modifications.


The neocortex is an important region in higher cognitive functions, and its formation, i.e., corticogenesis, is an extremely complicated process during embryonic brain development. During corticogenesis, neural stem/precursor cells (NPCs), or in another name, radial glial cells (RGCs) proliferate and differentiate to immature neurons. These immature neurons migrate towards the basal side and stack from inside-to-outside, and further differentiate into glutaminergic excitatory neurons, produce neurotransmitters or neurotrophic factors, and begin to form neural networks [1, 2]. These processes are precisely programmed at the genetic level; therefore, any slight impairment in the developmental program could result in severe functional defects in the brain.

Intensive genetic analyses of patients with neurodevelopmental disorders have identified various molecules critical for the neuropathogenesis [3, 4]. Fragile X mental retardation 1 (FMR1) encoding fragile X mental retardation protein (FMRP) is a well-characterized gene related to a typical neurodevelopmental disorder, Fragile X syndrome (FXS) [5, 6]. FXS patients have intellectual disability (ID), and  25% of male and 6% of female FXS patients show features of autism spectrum disorder (ASD) [7,8,9]. Therefore, elucidating the FMRP function is critical to understand the molecular mechanism relating also to ID and ASD.

FMRP is a polyribosome-associated RNA binding protein (RBP) [10, 11]. In the matured neuron of the adult brain, FMRP is localized at cell body, proximal dendrites, and axons [12, 13]. FMRP plays profound regulatory roles in the synaptic function and neuronal plasticity through the interaction with transcripts of pre- and postsynaptic proteins [14, 15] and by regulation of mRNA trafficking into the dendrite [11, 16]. On the other hand, FMRP is also expressed in the RGCs and immature neurons of the developing brain [17, 18]. Within the RGCs, FMRP is localized at the apical and basal endfeet [17, 18]. Previous studies have suggested that FMRP regulates the transition from RGCs to intermediate progenitors in the embryonic brain [18] and that its deficit affects neuronal migration and cortical circuitry [19]. Altogether, FMRP has multiple roles at distinct time points in brain development.

Since the discovery of FMRP, various studies have been conducted to identify FMRP target genes using RNA-binding protein immunoprecipitation (RIP) [17, 20], crosslinking immunoprecipitation [10], photoactivatable ribonucleoside-enhanced crosslinking and immunoprecipitation [21] and ribosome profiling [22], all of which are based on high-throughput sequencing. While the role of FMRP and its target genes have been most highlighted in the adult brain [10, 20, 23, 24], only limited studies have reported its role in the embryonic brain [17, 18]. In this study, we performed RIP high-throughput sequencing (RIP-seq) analysis using mouse embryonic brain samples and identified FMRP target genes that are also associated with ID and ASD. We also found FMRP “core” target genes shared with our data, neurogenesis, ID, and ASD, which were involved in the Ras/mitogen-activated protein kinase (MAPK), Wnt/β-catenin, and mTOR pathways. Our data may contribute to understand the role of FMRP in corticogenesis and may serve as important resources for future studies of neurodevelopmental disorder.


FMRP is expressed in the mouse embryonic cortex

We first confirmed the FMRP expression in the cortical primordium of wild type (WT) mice at embryonic day (E) 14.5 when massive neurogenesis occurs. The immunostaining signal of FMRP was present in the cortical plate (CP), including immature neurons, and at apical (ventricular) and basal (pial) surface areas (Fig. 1a, b). The accumulation of FMRP at the apical and basal endfeet of the RGCs was confirmed by the GFP-labeling of RGCs using in utero electroporation with an EGFP reporter gene (pCAG-EGFP) (Fig. 1c); FMRP was overlapped with GFP fluorescence in both the apical and basal endfeet of the RGCs (Fig. 1d,e). Therefore, our data are consistent with findings in the previous literature [17,18,19].

Fig. 1

FMRP expression pattern in the coronal sections of the E14.5 WT mouse neocortex. a, b FMRP is expressed throughout the cortical primordium, showing the highest accumulation at both basal and apical endfeet of the RGCs. c Green fluorescent signal shows GFP-labeled RGCs. d, e Merged images showed that FMRP is highly localized in the basal (white arrowheads) and apical (yellow arrowheads) endfeet of the RGCs. CP cortical plate, VZ ventricular zone. Scale bars: 50 μm, 10 μm (inset)

Identification of FMRP target mRNAs in embryonic mouse cortex

To explore the target mRNAs of FMRP during corticogenesis, we performed RIP-seq analyses using cortical samples isolated from the WT mice at E14.5 (Fig. 2a). In total, we found 2288 candidate FMRP target mRNAs that were significantly expressed (measured by fragment per kilobase of transcript per RNA-seq read mapped, FPKM) in the FMRP-IP compared to IgG-IP or the negative control (FMRP-IP FPKM > IgG-IP FPKM). Next, we selected a stringent set of 947 mRNAs from 865 FMRP target genes based on gene expression values, fold changes in the logarithmic scale with base 2 greater than 1 (log2FC > 1), and FPKM greater than 10 against the FMRP-IP. (Fig. 2b; Additional file 1: Table S1). The set of 865 FMRP target genes showed higher gene expression than the negative control, and therefore, could be validated as targets of FMRP in the developing neocortex.

Fig. 2

FMRP mRNA targets identified from the RIP-seq of the WT E14.5 cortex. a RIP-seq workflow. b Scatterplot comparing log2 ratios of significant (q < 0.01) FPKM expressions values of FMRP-IP and IgG-IP. The vertical coordinates represent the log2-FPKM + 1 values for each gene from FMRP-IP, and the horizontal coordinates represent the log2-FPKM + 1 values for each gene IgG-IP. Highlighted in blue are the 865 FMRP target genes selected based on gene expression values, log2FC > 1, and FPKM > 10 for the FMRP-IP. c The top 10 GO (biological process) terms enriched in the 865 FMRP target genes

To estimate the functions of the FMRP target genes, we performed gene ontology (GO) analyses using the visual annotation display (VLAD)—gene analysis and visualization analysis tool of the Mouse Genome Informatics (MGI) [25]. The top significant GO terms included biological processes related to early brain development, such as “nervous system development,” “generation of neurons,” and “neurogenesis.” (Fig. 2c). This is quite reasonable because the identified FMRP target genes were collected from developing cortices where massive neurogenesis is occurring (Fig. 1, Additional file 2: Table S2).

Next, we compared our FMRP target genes in the embryonic mouse brain with those detected in the mouse cortex and cerebellum at postnatal (P) day 11–13 [10], in the hippocampus at P28 to 32 [26], and in the cultured adult NPCs derived from the dentate gyrus at 8 to 10-week [22]. We found hundreds of the genes were overlapped and significantly enriched (Additional file 3: Table S3), suggesting common functions of FMRP shared in the embryonic, postnatal and adult brains.

Overlap among FMRP targets, neurogenesis, ID and ASD-associated genes

To obtain more insight for the significance of FMRP target candidate genes, we focused on the three criteria, i.e., neurogenesis, ID, and ASD since FXS patients often show ID and ASD symptoms [8, 9]. We first compared the identified 865 FMRP target genes with 1791 neurogenesis genes from MGI [25]. There was a highly significant overlap of 156 genes between the two groups, including those mainly assigned to GOs related to “Neuronal development”, “Generation of neurons,” “Neuron differentiation”, and “Cell morphogenesis involved in differentiation” (Fig. 3a). The results thus indicate that several targets of FMRP are important for neurogenesis during early brain development. We also found genes for “Axonogenesis” and “Neuron projection development”, i.e., the events after neuronal differentiation, as GOs for FMRP target genes, which may suggest the importance of FMRP in the establishment of neuronal networks.

Fig. 3

The overlap between our FMRP target genes and genes associated with neurogenesis, ID, and ASD and their involvement in signaling pathways. a Venn diagram depicting the overlap of our FMRP target genes and neurogenesis genes retrieved from the MGI (GO: neurogenesis) and its top 10 GO. b Venn diagram depicting the overlap of our FMRP target genes and ID-associated genes retrieved from the OMIM (keyword: ID) and its top 10 GO. c Venn diagram depicting the overlap of our FMRP target genes and ASD-associated genes retrieved from the SFARI database. Statistical significance was determined by hypergeometric distribution analysis. d The 17 FMRP “core” target genes common in the four gene sets FMRP-IP, neurogenesis, ID, and ASD. e Signaling pathways in which the FMRP target genes were involved. The highlighted molecules were the identified FMRP “core” target genes (red) and other FMRP target genes in our data (green), which were involved in Ras/MAPK, Wnt/β-catenin, and mTOR signaling pathways

We then examined the association between the identified FMRP target genes with 1088 ID genes based on Online Mendelian Inheritance in Man (OMIM) [27], which resulted in 126 genes (Fig. 3b), as expected, because ID is a core feature of FXS [28]. These overlapped genes included not only GOs such as “Brain development” and “Central nervous system development”, but also “Chromosome organization” and “Histone modification” unexpectedly. We also found 118 FMRP target genes that significantly overlapped with the 1025 ASD-associated genes using the public database Simons Foundation Autism Research Initiative (SFARI) [29] (Fig. 3c); again there came up with GOs such as “Histone modification” and “Chromatin organization”, as well as “Brain development”. As we expected, these GOs include several syndromic ASD-associated genes such as paired box 6 (PAX6) [30, 31], lysine acetyltransferase 6a (KAT6A) [32], mammalian target of rapamycin (mTOR) [33], Abelson’s helper integration 1 (AHI1) [34] and ubiquitin-specific peptidase 9 X-linked (USP9X) [35]. Overall, the overlap between FMRP target genes linked to ID and ASD could provide a correlation between loss of function of FMRP and the development of both ID and ASD.

Finally, we identified 17 genes as the FMRP “core” target genes shared with neurogenesis, ID, and ASD gene sets (Fig. 3d, Table 1). These FMRP “core” target genes contained not only major transcription regulators such as Pax6, Myt1l, and Tcf4 but also components of Ras/MAPK (Nf1) [36], Wnt/β-catenin (Ahi1, Ctnna2, and Ctnnb1) [34, 37], and mTOR (mTOR, Ep300, Itpr1 and Synj1) [38,39,40,41] signaling pathways (Fig. 3e). As mentioned above, the FMRP “core” target genes also included factors of the chromatin-remodeling complex [42], such as Nipbl, Smarcc2, and Smarca4. Besides, Usp9X has been thought to be involved in developmental processes through Wnt/β-catenin and mTOR pathways [43]. These common pathways can cause shared symptoms among FXS, ID, and ASD.

Table 1. 17 FMRP target genes associated with neurogenesis, ID and ASD

Expression of the FMRP “core” target genes in the developing cortex

To confirm the FMRP interaction with the mRNAs of the 17 FMRP “core” target genes, we performed RIP-qPCR. All mRNAs were significantly enriched in the FMRP-IP, suggesting that these mRNAs are targeted by FMRP (Fig. 4a). We further examined the mRNA amount of the genes in cortical primordial samples from E15.5 WT and Fmr1 knockout (KO) male mice. We found a significant increase of Nf1 mRNA and a significant decrease of Ahi1 mRNA in the Fmr1 KO mouse neocortex, while other genes showed no significant difference (Fig. 4b). These findings suggest that FMRP mainly functions as a post-transcriptional regulator of its target genes.

Fig. 4

Validation of the 17 FMRP “core” target genes by RIP-qPCR and their expression in the WT and Fmr1 KO mice. a The RNAs from WT (n = 3) of the E15.5 mouse dorsal telencephalons were isolated and subjected to cDNA synthesis and RT-qPCR. All 17 FMRP “core” target genes were significantly enriched in the FMRP-IP compared with that of IgG-IP (n = 3). b The RNAs (n = 7 WT; n = 7 Fmr1 KO) from the E15.5 mouse dorsal telencephalon were isolated and subjected to cDNA synthesis and RT-qPCR. Nf1 and Ahi1 showed an increase and decrease in expression, respectively, in Fmr1 KO neocortex, compared to the WT. The Student’s t-test was used to test statistical significance (*p < 0.05, ***p < 0.0001). Error bars represent the standard error of the mean (SEM)

Among the 17 FMRP “core” target genes, we highlighted three genes, Nf1, Ctnnb1, and Mtor, because these are involved in Ras/MAPK, Wnt/β-catenin, and mTOR pathways, respectively [40, 44, 45]. We first assessed the protein expression of Nf1, Ctnnb1, and mTOR in the cortical primordium at E15.5 (Fig. 5a, b). The Nf1 and mTOR proteins were widely expressed throughout the cortical primordium, while Ctnnb1 was concentrated at the apical surface. There seemed to be no change in these expression patterns in Fmr1 KO mice compared to that of WT (Fig. 5a). Immunoblotting analyses also showed that Nf1, Ctnnb1, and mTOR showed normal expression levels in Fmr1 KO mice corresponding to the immunostaining (Fig. 5a–e). This could imply that the translation of these targets was unaffected in the Fmr1 KO neocortex. Although the protein level of mTOR was unchanged in the Fmr1 KO, its phosphorylated form (p-mTOR) at Ser2448 was significantly elevated by 25.4% in the lysate of the Fmr1 KO neocortex compared to that of WT (Fig. 5b, f). This result suggests that mTOR signaling might be enhanced in Fmr1 KO mice during corticogenesis, which is similar to the result in the adult hippocampus [40] but the first evidence in the embryonic brain.

Fig. 5

Nf1, Ctnnb1 and mTOR expression in mouse neocortical lysates. a Expression pattern of Nf1 (n = 5 WT; n = 5 Fmr1 KO), Ctnnb1 (n = 6 WT; n = 6 Fmr1 KO) and mTOR (n = 5 WT; n = 5 Fmr1 KO) in E15.5 neocortex showed no difference between the WT and Fmr1 KO mice. b Representative western blots of selected FMRP target genes. cf Relative expression of Nf1 (n = 12 WT; n = 12 Fmr1 KO), Ctnnb1 (n = 7 WT; n = 7 Fmr1 KO), mTOR (n = 12 WT; n = 12 Fmr1 KO) and p-mTOR (n = 10 WT; n = 10 Fmr1 KO) were measured using ImageJ software. The findings indicate no difference in Nf1, Ctnnb1 and mTOR expression between WT and Fmr1 KO neocortices. However, p-mTOR at Ser2448 showed a 25.4% increase in protein level in the Fmr1 KO. Scale bars: 50 μm, 20 μm (inset). Student’s t-test was used to test statistical significance (*p < 0.05). Error bars represents the SEM


Even though FMRP shows unique expression patterns in the cortical primordium, most of the previous studies have highlighted FMRP’s role in the post-transcriptional regulation of its mRNA targets in the postnatal and adult brain. Here we focused on the FMRP target genes during corticogenesis and identified 865 genes. Importantly, they overlapped with those identified in the postnatal and adult brains, suggesting that FMRP have common targets at different developmental stages. It is of note that the 865 FMRP target genes included not only those related to neural and neuronal development, as expected, but also those involved in chromatin remodeling and histone modifications. This emphasizes involvement of FMRP in epigenetic regulation in the developing and adult brain.

Using independent databases, i.e., OMIM and SFARI, we showed that our FMRP target genes significantly overlapped with genes associated with ID and ASD. This may suggest that phenotypes shared among FXS, ID, and ASD patients may likely be caused by these common genes. In other words, these lists also represent common impaired pathways or molecular mechanisms observed in neurodevelopmental disorders.

We identified 17 FMRP “core” target genes common in FXS, ID, ASD, and neurogenesis gene sets including critical components in Ras/MAPK, Wnt/β-catenin, and mTOR pathways. Nf1 is a negative regulator of the Ras/MAPK signaling pathway, and loss of Nf1 leads to an increase in the number of NPCs, but not of neurons, within the mouse cortex [36]. Several groups have previously shown Nf1 as a target of FMRP [10, 21, 22, 46] with some inconsistency. Knocking down Fmr1 in oocytes increases Nf1 at the mRNA level but significantly decreases its protein level [46]. Ribosomal profiling of cultured adult NPCs shows normal Nf1 mRNA and protein expression in the Fmr1 KO [22]. In our study using Fmr1 KO forebrain samples, the absence of FMRP caused an increased expression of Nf1 mRNA but unaffected protein amount. Thus, regulation of Nf1 expression at mRNA and protein levels may be highly context-dependent; the increase of Nf1 mRNA level could be an indirect effect of FMRP on upstream transcriptional or epigenetic regulators of Nf1 that might be different in distinct cell types.

It is well known that the Wnt/β-catenin pathway regulates NPC proliferation and neuronal differentiation in the developing mouse neocortex [47,48,49]. In this study, we identified a Wnt/β-catenin pathway regulator, Ctnnb1, as a target of FMRP. However, Ctnnb1 mRNA and protein amounts were normal in Fmr1 KO embryonic brain. Although Ctnnb1 amount is reported to be reduced in adult NPCs derived from Fmr1 KO mouse [50], NPCs derived from human embryonic stem cells established from FXS patients showed unchanged Ctnnb1 level compared to the nonaffected control [51]. These discrepancies might come from different stages of the NPCs, and our finding is rather close to the NPCs that may reflect FXS conditions during development.

mTOR signaling is a well-known pathway for its responsibility to not only for FXS [40], but also for ASD [52, 53]. Overactivation of mTOR signaling during neurogenesis can increase protein synthesis and induce neuronal differentiation [54, 55], leading to cortical malformation [56]. Several studies have explored the relationship between FMRP and mTOR signaling in the postnatal and adult mouse brains; mTOR signaling is exaggerated in the absence of FMRP [40]. Here, we identified several components of the mTOR-related pathway as FMRP target genes and found for the first time that the p-mTOR level was elevated in the developing neocortex of Fmr1 KO mice. Our finding thus suggests importance of FMRP-mTOR pathways shared in the embryonic and postnatal brains.

Our FMRP “core” target genes contain not only mTOR, but also two possible regulators of mTOR signaling, i.e., Synj1 and Ep300. Synj1 is an inositol phosphatase expressed in neuronal synaptic terminals, which is essential for the neuronal function, survival and differentiation [38]. Synj1 may affect activity of mTOR signaling by regulating a membrane phosphatidylinositol-4,5-bisphosphate, of which reduction could decrease in mTOR signaling activity [38]. While acetyltransferase Ep300 is a transcriptional co-activator significantly elevated in Fmr1 KO hippocampal NPCs [57], it can positively regulate mTORC1 activity through acetylation of Raptor, a negative regulator of mTORC1 [41]. We did not confirm protein levels of Synj1 and Ep300 because there was no significant change in mRNA levels between the WT and Fmr1 KO mice. However, gene expression of Synj1 and Ep300 exhibited slight decrease and increase, respectively, in Fmr1 KO mice. Since Synj1 and Ep300 can work as negative and positive regulators of mTOR signaling, respectively, the slight changes in mRNAs of these genes might synergistically result in a synergistic effect on the enhanced p-mTOR level.

Another possible player for the increased p-mTOR level might be PIKE (also known as Centg1, centaurin gamma 1), an upstream activator of mTOR and a target of FMRP [40, 58]. Stimulation of the group I metabotropic glutamate receptors activates PI3K-mTOR activity through PIKE [59, 60]. In the hippocampal neurons of Fmr1 KO mice, PIKE is elevated enhancing the activity of PI3K, which then increases phosphorylation of mTOR, leading to the overactivation mTOR signaling. Interestingly, mTOR signaling can enhance phosphorylation of mTOR downstream targets S6K and 4E-BPs [40]. S6K activity induces differentiation in pluripotent human embryonic stem cells [54], while knockdown of 4E-BP2, the major 4E-BP expressed in the brain, is sufficient to induce NPCs differentiation [61]. Taken together, our results can explain how altered proliferation and differentiation of NPCs [18, 62] may lead to an abnormal cortical cytoarchitecture seen in Fmr1 KO mouse brain [63].

It is previously known that FMRP regulates translation of its target genes [reviewed in refs. 6467]. For example, a subset of FMRP target genes including Icam5 (intercellular adhesion molecule 5) [68], Gsk3β (glycogen synthase kinase 3 beta) [50] and glutamate receptor subunits [69] have shown increased protein levels in Fmr1 KO mice. In the present study, however, protein levels of Nf1, Ctnnb1, and mTOR were normal in the Fmr1 KO neocortex, which is similar to previous results regarding other FMRP target genes such as Psd-95 (also known as Dlg4, discs large MAGUK scaffold protein 4) [70], Snap25 (synaptosome associated protein 25) [71] and Cyfip1(cytoplasmic FMR1 interacting protein) [72]. This suggests that FMRP may not directly regulate translation of these target genes; small changes in expression of these target genes can be attributed to RNA stability [70] and/or transcriptional epigenetic regulators such as Brd4 (bromodomain containing 4) [73]. Thus, FMRP is a multifunctional protein that can regulate its target genes in a context-dependent manner.

Finally, FMRP may further affect gene expression during corticogenesis by regulating epigenetic (chromatin and histone) modifications (as seen in Fig. 3b, c, Additional file 2: Table S2). One of the chromatin targets of FMRP, bromodomain-containing 4, Brd4, has been reported to be overactivated in Fmr1 KO mice, and its inhibition alleviated phenotypes in the mouse associated with FXS [73]. The mechanism of regulation by FMRP on these epigenetic regulators was not investigated in this study. Whether or not the misregulation of epigenetic modifications is due to the absence of FMRP, it is evident that these modifications could modulate widespread changes in the expression of its downstream targets. For this reason, our findings could provide additional evidence that FMRP may modulate multiple regulations of gene expression during corticogenesis.

In summary, we discovered that our FMRP “core” target genes were involved in Ras/MAPK, Wnt/β-catenin, and mTOR signaling pathways, all of which are pivotal in brain development. Proper regulation of these genes by FMRP is thus believed to be essential for appropriate corticogenesis. There could be other modulations due to the loss of function of FMRP at the epigenetic level. Our study sheds light on the significance of genetic programs in early brain development, in addition to previously proven roles in the function of postnatal neurons, concerning the etiology of FXS, of which symptoms are shared with ID and ASD.



Animal experiments were carried out in accordance with the National Institutes of Health guidelines outlined in the Guide for the Care and Use Laboratory Animals. The Committee for Animal Experimentation of Tohoku University Graduate School of Medicine (2017-MDA-189) and the Animal care and Use Committee of Yokohama City University (TA-16–006) approved all the experimental procedures. Male WT (C57BL/6 J) and Fmr1 KO (B6.129P2-Fmr1tm1Cgr/J, stock #003,025, The Jackson Laboratory) [5] mice were used in this study. Hemizygote (Fmr1−/y) male and heterozygote (Fmr1±) female mice were mated to obtain WT (Fmr1+/y) and Fmr1 KO (Fmr1−/y) male embryos.

DNA extraction and Fmr1 genotyping

Genomic DNA was extracted from the tail of E15.5 mouse embryos, and a standard polymerase chain reaction was performed as previously described [74, 75]. Screening for the presence or absence of the wild-type allele was performed using primers S1m (5′-GTGGTTAGCTAAAGTGAGGATGATAAAGGGTG-3′) and S2m (5′-CAGGTTTGTTGGGATTAACAGATCGTAGACG-3′). Primers N2c (5′-CGCCTCAGAAGCCATAGAGCC-3′) and N3 (5′-CATCGCCTTCTATCGCCTTCTTGAC-3′) were used to screen for the presence of the knockout allele. The amplified PCR products were visualized by electrophoresis on 1% agarose gels using the Gel Doc™ EZ Imager (Bio-Rad).


Immunohistochemistry was performed as described previously [74, 75]. The sections were incubated with primary antibodies diluted with 3% BSA/TBST (containing 0.1% Triton X100), including goat anti-FMRP (1:1000; LS-B3953; LifeSpan Biosciences Inc.), rabbit anti-mTOR (1:1000; 7C10; Cell Signaling Technology), rabbit anti-phospho-mTOR (Ser2448) (1:1000; 2971; Cell Signaling Technology), mouse anti-Ctnnb1 (1:2000; 610153; BD Biosciences), and rabbit anti-Nf1 (1:1000; ab17963; Abcam) overnight at 4 °C. The secondary antibodies used were Cy3-conjugated donkey anti-goat IgG (1:500; Life Technologies), Cy3-conjugated donkey anti-rabbit IgG (1:500; Life Technologies), and Alexa 488-conjugated donkey anti-mouse IgG (1:500; Life Technologies), and counterstained with 4′,6-Diamidino-2-phenylindole dihydrochloride (DAPI)/TBST (1:1000; Sigma). Images were visualized by a confocal laser microscope Zeiss LSM800 (Carl Zeiss).

In utero electroporation into the mouse embryonic brain

In utero electroporation was performed as described previously with minor modification [76, 77]. The expression vectors pCAG-EGFP plasmid (kindly gifted from Prof. Tetsuichiro Saito, Chiba University, Japan) and 1% Fast green in PBS were injected into the lateral ventricle of embryos at E13.5. The embryos were collected at E14.5 for analysis for FMRP localization.

Preparation of RNA libraries and sequencing

Following the manufacturer’s protocol, RIP assay was performed to extract FMRP-bound mRNAs (n = 3, FMRP-IP; n = 2, negative control (IgG-IP)) from E14.5 WT mice cortex by using RiboCluster Profiler™ RIP-Assay Kit with anti-FMRP human polyclonal antibody, RN016P (Medical and Biological Laboratories Co., Ltd.) and Dynabeads™ Protein beads G/A (Invitrogen™). The quality and quantity of the total RNA were evaluated using the Agilent 2100 Bioanalyzer with RNA 6000 Pico Kit (Agilent). Total RNA concentration greater than 50 ng with an RNA Integrity Number (RIN) value greater than or equal to 7.9 was sequenced.

Sequence alignment and estimation of gene expression levels

Raw reads were cleaned by removing adapter sequences and low-quality sequences (Phred quality score: 33; minimum threshold: 20; minimum length: 70) using the FASTX-Toolkit ( Using TopHat (, cleaned reads were aligned to reference genome Mus musculus genome (mm10) with default parameter values, except for the distance between mate pairs (r = 200). Calculation of gene expression in FPKM and test of significance were calculated using Cuffdiff ( FMRP mRNA targets were defined as transcripts showing significant difference at q < 0.01 (between FMRP-IP and IgG-IP), log2FC greater than 1, and FPKM value greater than 10 in the FMRP-IP samples.

Gene ontology and protein association network

Functional annotation of the differentially expressed genes was performed using the VLAD tool (v1.6.0) of the MGI [25] and Network Analyst—a visual analytics platform for comprehensive gene profiling and meta-analysis [78]. GO was determined via an enrichment analysis (biological process), and false discovery rate (FDR) less than 0.05 were considered as significantly enriched GO annotation.

Gene sets associated with neurogenesis, ID, and ASD

The 1791 neurogenesis genes were retrieved from the MGI database (retrieved on September 24, 2019) using GO: neurogenesis [25]. The 1088 ID genes were retrieved from the OMIM database (retrieved on September 24, 2019) using the keyword ID [27]. The 1025 ASD-associated genes were retrieved from the SFARI database (updated on May 19, 2020) [29].

RNA extraction and RT-qPCR

Total RNA was isolated with the RNeasy Mini Kit (Qiagen) according to the manufacturer’s protocol and inverse transcribed into complementary DNA (cDNA) using the SuperScipt III™ First-Strand Synthesis System for RT-PCR (Invitrogen). RT-qPCR was performed using 2 × SsoAdvanced Universal SYBR®Green Supermix (Roche) and the Mastercycler® ep Gradient Realplex 2 (Eppendorf). The relative expression of each target was calculated (2^ΔΔCt) with Rplp0 as normalizer. PCR sequences for RT-qPCR (Additional file 4: Table S4) were obtained in the Primerbank [79] and from a previous report [80].


To assess protein levels, neocortical lysates from pooled (n = 2) dorsal telencephalon of WT and Fmr1 KO embryos at E15.5 were prepared using cell lysis buffer containing 20 mM HEPES pH 7.5, 20% glycerol, 400 mM NaCl, 1 mM MgCl2, 0.5 M DTT, 0.5 mM PMSF, 0.1% NP40, 1 × protease and phosphatase inhibitor, and 1 mM EDTA pH 8.0. Following the manufacturer’s protocol, protein concentration was measured by the Lowry Assay Method (Bio-Rad). The neocortical lysates (25 μg) were subjected to SDS/PAGE (7.5% TGX™ FastCast™ Acrylamide Kit; Bio-Rad) and transferred onto polyvinylidene difluoride membranes (Millipore) with 40 V at 4 °C for 4 h. The membranes were then blocked in 10% TBS blocking buffer (Licor) for 1 h, and incubated with a primary antibody (as described above, Immunohistochemistry). The membrane was washed with TBST (containing 0.1% Tween 20) for 1 min with three repeats and 5 min with three repeats and incubated with a secondary antibody, either donkey anti-rabbit 680 (1:10,000; Licor), or donkey anti-mouse 680 (1:20,000; Licor), diluted in 10% TBS blocking buffer for 1 h at RT under a shaded condition. The signal was detected using the ODYSSEY infrared imaging system (Licor) and quantified using ImageJ 1.48v software (National Institute of Health) with Gapdh as normalizer.

Statistical analysis

Data were compiled using Microsoft Excel 2011, and Student’s t-test was used to calculate statistical significance. Hypergeometric distribution was calculated using the webtool Hypergeometric Distribution Calculator ( Values of p < 0.05 were considered statistically significant.

Availability of data and materials

The datasets generated and/or analyzed during the current study are available in public databases (MGI, OMIM, and SFARI) and are included in this published article. Additional inquiries can be directed to the corresponding author.



Autism spectrum disorder


Bovine serum albumin


Complementary DNA


Cortical plate


4′,6-Diamidino-2-phenylindole dihydrochloride




False discovery rate


Fragile X mental retardation protein

Fmr1 :

Fragile X mental retardation 1


Fmr1 Knockout


Fragment per kilobase of transcript per RNA-seq read mapped


Fragile X syndrome


Gene ontology


(2-Hydroxyethyl)-1-piperazineethanesulfonic acid


Intellectual disability


Fold change on a logarithmic scale with base twofold-change


Mouse  Genome Initiative


Neural stem/precursor cells


Online Mendelian Inheritance in Man


Polymerase chain reaction


Phenylmethylsulfonyl fluoride


RNA-binding protein


Radial glial cells


Real-time quantitative PCR


RNA immunoprecipitation


RNA immunoprecipitation-sequencing


Sodium dodecyl sulfate polyacrylamide gel electrophoresis


Simons Foundation Autism Research Initiative


Tris-buffered saline, 0.1% Tween 20 for Western blot; Tris-buffered saline, 0.1% Triton X for immunohistochemistry


Ventricular zone


Wild type


  1. 1.

    Agirman G, Broix L, Nguyen L. Cerebral cortex development: an outside-in perspective. FEBS Lett. 2017;591:3978–92.

    CAS  PubMed  Article  Google Scholar 

  2. 2.

    Uzquiano A, Gladwyn-Ng I, Nguyen L, Reiner O, Götz M, Matsuzaki F, et al. Cortical progenitor biology: key features mediating proliferation versus differentiation. J Neurochem. 2018;146:500–25.

    CAS  PubMed  Article  Google Scholar 

  3. 3.

    Homberg JR, Kyzar EJ, Scattoni ML, Norton WH, Pittman J, Gaikwad S, et al. Genetic and environmental modulation of neurodevelopmental disorders: translational insights from labs to beds. Brain Res Bull. 2016;125:79–91.

    PubMed  Article  Google Scholar 

  4. 4.

    Hu WF, Chahrour MH, Walsh CA. The diverse genetic landscape of neurodevelopmental disorders. Annu Rev Genomics Hum Genet. 2014;15:195–213.

    Article  CAS  Google Scholar 

  5. 5.

    The Dutch-Belgian Fragile X Consortium. Fmr1 knockout mice : A model to study fragile X mental retardation. Cell. 1994;78:23–33.

  6. 6.

    Verkerk AJMH, Pieretti M, Sutcliffe JS, Fu YH, Kuhl DPA, Pizzuti A, et al. Identification of a gene (FMR-1) containing a CGG repeat coincident with a breakpoint cluster region exhibiting length variation in fragile X syndrome. Cell. 1991;65:905–14.

    CAS  Article  Google Scholar 

  7. 7.

    Abrahams BS, Geschwind DH. Advances in autism genetics: on the threshold of a new neurobiology. Nat Rev Genet. 2008;9:341–55.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  8. 8.

    Garber K, Visootsaka J, Warren S. Fragile X syndrome. Eur J Hum Genet. 2008;16:666–72.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  9. 9.

    Dahlhaus R. Of men and mice: modeling the fragile X syndrome. Front Mol Neurosci. 2018.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Darnell JC, Van Driesche SJ, Zhang C, Hung KYS, Mele A, Fraser CE, et al. FMRP stalls ribosomal translocation on mRNAs linked to synaptic function and autism. Cell. 2011;146:247–61.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  11. 11.

    Dictenberg JB, Swanger SA, Antar LN, Singer RH, Bassell GJ. A direct role for FMRP in activity-dependent dendritic mRNA transport links filopodial-spine morphogenesis to fragile X syndrome. Dev Cell. 2008;14:926–39.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  12. 12.

    Otero Y, Severijnen L-A, van Cappellen G, Schrier M, Oostra B, Willemsen R. Transport of fragile X mental retardation protein via granules in neurites of PC12 cells. Mol Cell Biol. 2002;22:8332–41.

    Article  CAS  Google Scholar 

  13. 13.

    Soden ME, Chen L. Fragile X protein FMRP is required for homeostatic plasticity and regulation of synaptic strength by retinoic acid. J Neurosci. 2010;30:16910–21.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  14. 14.

    Sidorov MS, Auerbach BD, Bear MF. Fragile X mental retardation protein and synaptic plasticity. Mol Brain. 2013;6:1–11.

    Article  CAS  Google Scholar 

  15. 15.

    Sears JC, Broadie K. Fragile X mental retardation protein regulates activity-dependent membrane trafficking and trans-synaptic signaling mediating synaptic remodeling. Front Mol Neurosci. 2018.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Bassell GJ, Warren ST. Fragile X syndrome: loss of local mRNA regulation alters synaptic development and function. Neuron. 2008;60:201–14.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  17. 17.

    Pilaz LJ, Lennox AL, Rouanet JP, Silver DL. Dynamic mRNA transport and local translation in radial glial progenitors of the developing brain. Curr Biol. 2016;26:3383–92.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  18. 18.

    Saffary R, Xie Z. FMRP regulates the transition from radial glial cells to intermediate progenitor cells during neocortical development. J Neurosci. 2011;31:1427–39.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  19. 19.

    La Fata G, Gärtner A, Averna M, Poorthuis RB, Achsel T, Bagni C, et al. FMRP regulates multipolar to bipolar transition affecting neuronal migration and cortical circuitry. Nat Neurosci. 2014;17:1693–700.

    PubMed  Article  CAS  Google Scholar 

  20. 20.

    Brown V, Jin P, Ceman S, Darnell JC, O’Donnell WT, Tenenbaum SA, et al. Microarray identification of FMRP-associated brain mRNAs and altered mRNA translational profiles in fragile X syndrome. Cell. 2001;107:27710.

    Article  Google Scholar 

  21. 21.

    Ascano M, Mukherjee N, Bandaru P, Miller JB, Nusbaum JD, Corcoran DL, et al. FMRP targets distinct mRNA sequence elements to regulate protein expression. Nature. 2012;492:382–6.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  22. 22.

    Liu B, Li Y, Stackpole EE, Novak A, Gao Y, Zhao Y, et al. Regulatory discrimination of mRNAs by FMRP controls mouse adult neural stem cell differentiation. Proc Natl Acad Sci. 2018;115:E11397–405.

    CAS  PubMed  Article  Google Scholar 

  23. 23.

    Miyashiro KY, Beckel-Mitchener A, Purk TP, Becker KG, Barret T, Liu L, et al. RNA cargoes associating with FMRP reveal deficits in cellular functioning in Fmr1 null mice. Neuron. 2003;37:417–31.

    CAS  PubMed  Article  Google Scholar 

  24. 24.

    Maurin T, Lebrigand K, Castagnola S, Jarjat M, Popa A, Grossi M, et al. HITS-CLIP in various brain areas reveals new targets and new modalities of RNA binding by fragile X mental. Nucl Acids Res. 2018;46:6344–55.

    CAS  PubMed  Article  Google Scholar 

  25. 25.

    Smith CL, Blake JA, Kadin JA, Richardson JE, Bult CJ. Mouse genome database (MGD)-2018: knowledgebase for the laboratory mouse. Nucleic Acids Res. 2018;46:D836–42.

    CAS  PubMed  Article  Google Scholar 

  26. 26.

    Sawicka K, Hale CR, Park CY, Fak JJ, Gresack JE, Van Driesche SJ, et al. FMRP has a cell-type-specific role in CA1 pyramidal neurons to regulate autism-related transcripts and circadian memory. Elife. 2019;8:1–36.

    Article  Google Scholar 

  27. 27.

    Amberger JS, Bocchini CA, Scott AF, Hamosh A. leveraging knowledge across phenotype-gene relationships. Nucleic Acids Res. 2019;47:D1038–43.

    CAS  PubMed  Article  Google Scholar 

  28. 28.

    Bailey DB, Raspa M, Olmsted M, Holiday DB. Co-occurring conditions associated with FMR1 gene variations: findings from a national parent survey. Am J Med Genet Part A. 2008;146:2060–9.

    Article  CAS  Google Scholar 

  29. 29.

    Abrahams BS, Arking DE, Campbell DB, Mefford HC, Morrow EM, Weiss LA, et al. SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs). Mol Autism. 2013;4:36.

    PubMed  PubMed Central  Article  Google Scholar 

  30. 30.

    Davis LK, Meyer KJ, Rudd DS, Librant AL, Epping EA, Sheffield VC, et al. Pax6 3′ deletion results in aniridia, autism and mental retardation. Hum Genet. 2008;123:371–8.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  31. 31.

    Maekawa M, Iwayama Y, Nakamura K, Sato M, Toyota T, Ohnishi T, et al. A novel missense mutation (Leu46Val) of PAX6 found in an autistic patient. Neurosci Lett. 2009;462:267–71.

    CAS  PubMed  Article  Google Scholar 

  32. 32.

    Kennedy J, Goudie D, Blair E, Chandler K, Joss S, McKay V, et al. KAT6A syndrome: genotype–phenotype correlation in 76 patients with pathogenic KAT6A variants. Genet Med. 2019;21:850–60.

    CAS  PubMed  Article  Google Scholar 

  33. 33.

    Mroske C, Rasmussen K, Shinde DN, Huether R, Powis Z, Lu HM, et al. Germline activating MTOR mutation arising through gonadal mosaicism in two brothers with megalencephaly and neurodevelopmental abnormalities. BMC Med Genet. 2015;16:1–11.

    Article  CAS  Google Scholar 

  34. 34.

    Lancaster MA, Gopal DJ, Kim J, Saleem SN, Silhavy JL, Louie CM, et al. Defective Wnt-dependent cerebellar midline fusion in a mouse model of Joubert syndrome. Nat Med. 2011;17:726–31.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  35. 35.

    Homan CC, Kumar R, Nguyen LS, Haan E, Raymond FL, Abidi F, et al. Mutations in USP9X are associated with x-linked intellectual disability and disrupt neuronal cell migration and growth. Am J Hum Genet. 2014;94:470–8.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Hegedus B, Dasgupta B, Shin JE, Emnett RJ, Hart-Mahon EK, Elghazi L, et al. Neurofibromatosis-1 regulates neuronal and glial cell differentiation from neuroglial progenitors in vivo by both cAMP- and ras-dependent mechanisms. Cell Stem Cell. 2007;1:443–57.

    CAS  PubMed  Article  Google Scholar 

  37. 37.

    Choi SH, Estarás C, Moresco JJ, Yates JR, Jones KA. α-Catenin interacts with APC to regulate β-catenin proteolysis and transcriptional repression of Wnt target genes. Genes Dev. 2013;27:2473–88.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  38. 38.

    Herrera F, Chen Q, Fischer WH, Maher P, Schubert DR. Synaptojanin-1 plays a key role in astrogliogenesis: possible relevance for Down’s syndrome. Cell Death Differ. 2009;16:910–20.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  39. 39.

    Kania E, Roest G, Vervliet T, Parys JB, Bultynck G. IP3 receptor-mediated calcium signaling and its role in autophagy in cancer. Front Oncol. 2017.

    Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Sharma A, Hoeffer CA, Takayasu Y, Miyawaki T, McBride SM, Klann E, et al. Dysregulation of mTOR signaling in fragile X syndrome. J Neurosci. 2010;30:694–702.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  41. 41.

    Son SM, Park SJ, Lee H, Siddiqi F, Lee JE, Menzies FM, et al. Leucine signals to mTORC1 via its metabolite acetyl-coenzyme A. Cell Metab. 2019;29(192–201):e7.

    Google Scholar 

  42. 42.

    Crawley JN, Heyer WD, LaSalle JM. Autism and cancer share risk genes, pathways, and drug targets. Trends Genet. 2016;32:139–46.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  43. 43.

    Bridges CR, Tan MC, Premarathne S, Nanayakkara D, Bellette B, Zencak D, et al. USP9X deubiquitylating enzyme maintains RAPTOR protein levels, mTORC1 signalling and proliferation in neural progenitors. Sci Rep. 2017;7:1–15.

    CAS  Article  Google Scholar 

  44. 44.

    Ehyai S, Miyake T, Williams D, Vinayak J, Bayfield MA, McDermott JC. FMRP recruitment of β-catenin to the translation pre-initiation complex represses translation. EMBO Rep. 2018;19:1–17.

    Article  CAS  Google Scholar 

  45. 45.

    Banerjee S, Crouse NR, Emnett RJ, Gianino SM, Gutmann DH. Neurofibromatosis-1 regulates mTOR-mediated astrocyte growth and glioma formation in a TSC/Rheb-independent manner. Proc Natl Acad Sci U S A. 2011;108:15996–6001.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  46. 46.

    Greenblatt EJ, Spradling AC. Fragile X mental retardation 1 gene enhances the translation of large autism-related proteins. Science. 2018;361:709–12.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  47. 47.

    Hirabayashi Y, Itoh Y, Tabata H, Nakajima K, Akiyama T, Masuyama N, et al. The Wnt/β-catenin pathway directs neuronal differentiation of cortical neural precursor cells. Development. 2004;131:2791–801.

    CAS  PubMed  Article  Google Scholar 

  48. 48.

    Qu Q, Sun G, Murai K, Ye P, Li W, Asuelime G, et al. Wnt7a regulates multiple steps of neurogenesis. Mol Cell Biol. 2013;33:2551–9.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  49. 49.

    Viti J, Gulacsi A, Lillien L. Wnt regulation of progenitor maturation in the cortex depends on Shh or fibroblast growth factor 2. J Neurosci. 2003;23:5919–27.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  50. 50.

    Luo Y, Shan G, Guo W, Smrt RD, Johnson EB, Li X, et al. Fragile X mental retardation protein regulates proliferation and differentiation of adult neural stem/progenitor cells. PLoS Genet. 2010.

    Article  PubMed  PubMed Central  Google Scholar 

  51. 51.

    Telias M, Mayshar Y, Amit A, Ben-Yosef D. Molecular mechanisms regulating impaired neurogenesis of Fragile X syndrome human embryonic stem cells. Stem Cells Dev. 2015;24:2353–65.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  52. 52.

    Winden KD, Ebrahimi-Fakhari D, Sahin M. Abnormal mTOR activation in autism. Annu Rev Neurosci. 2018;41:1–23.

    CAS  PubMed  Article  Google Scholar 

  53. 53.

    Costa-Mattioli M, Monteggia LM. mTOR complexes in neurodevelopmental and neuropsychiatric disorders. Nat Neurosci. 2013;16:1537–43.

    CAS  PubMed  Article  Google Scholar 

  54. 54.

    Easley CA IV, Ben-Yehudah A, Redinger CJ, Oliver SL, Varum ST, Eisinger VM, et al. mTOR-mediated activation of p70 S6K induces differentiation of pluripotent human embryonic stem cells. Cell Reprogram. 2010;3:263–73.

    Article  CAS  Google Scholar 

  55. 55.

    Licausi F, Hartman NW. Role of mTOR complexes in neurogenesis. Int J Mol Sci. 2018;19:1–16.

    Article  CAS  Google Scholar 

  56. 56.

    Subramanian L, Calcagnotto ME, Paredes MF. Cortical malformations: lessons in human brain development. Front Cell Neurosci. 2020.

    Article  PubMed  PubMed Central  Google Scholar 

  57. 57.

    Li Y, Stockton ME, Eisinger BE, Zhao Y, Miller JL, Bhuiyan I, et al. Reducing histone acetylation rescues cognitive deficits in a mouse model of Fragile X syndrome. Nat Commun. 2018.

    Article  PubMed  PubMed Central  Google Scholar 

  58. 58.

    Gross C, Chang CW, Kelly SM, Bhattacharya A, McBride SMJ, Danielson SW, et al. Increased expression of the PI3K enhancer PIKE mediates deficits in synaptic plasticity and behavior in Fragile X syndrome. Cell Rep. 2015;11:727–36.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  59. 59.

    Ronesi JA, Huber KM. Homer interactions are necessary for metabotropic glutamate receptor-induced long-term depression and translational activation. J Neurosci. 2008;28:543–7.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  60. 60.

    Rong R, Ahn JY, Huang H, Nagata E, Kalman D, Kapp JA, et al. PI3 kinase enhancer-Homer complex couples mGluRI to PI3 kinase, preventing neuronal apoptosis. Nat Neurosci. 2003;6:1153–61.

    CAS  PubMed  Article  Google Scholar 

  61. 61.

    Hartman NW, Lin TV, Zhang L, Paquelet GE, Feliciano DM, Bordey A. MTORC1 targets the translational repressor 4E-BP2, but not S6 kinase 1/2, to regulate neural stem cell self-renewal invivo. Cell Rep. 2013;5:433–44.

    CAS  PubMed  Article  Google Scholar 

  62. 62.

    Castrén M, Tervonen T, Kärkkäinen V, Heinonen S, Castrén E, Larsson K, et al. Altered differentiation of neural stem cells in fragile X syndrome. Proc Natl Acad Sci U S A. 2005;102:17834–9.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  63. 63.

    Lee FHF, Lai TKY, Su P, Liu F. Altered cortical cytoarchitecture in the Fmr1 knockout mouse. Mol Brain. 2019;12:1–12.

    Article  Google Scholar 

  64. 64.

    Darnell JC, Klann E. The translation of translational control by FMRP: therapeutic targets for FXS. Nat Neurosci. 2013;16:1530–6.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  65. 65.

    Davis JK, Broadie K. Multifarious functions of the Fragile X mental retardation protein. Trends Genet. 2018;33:703–14.

    Article  CAS  Google Scholar 

  66. 66.

    Prieto M, Folci A, Martin S. Post-translational modifications of the fragile X mental retardation protein in neuronal function and dysfunction. Mol Psychiatry. 2020;25:1688–703.

    Article  PubMed  Google Scholar 

  67. 67.

    Fernandez E, Rajan N, Bagni C. The FMRP regulon: from targets to disease convergence. Front Neurosci. 2013.

    Article  PubMed  PubMed Central  Google Scholar 

  68. 68.

    Pei YP, Wang YY, Liu D, Lei HY, Yang ZH, Zhang ZW, et al. ICAM5 as a novel target for treating cognitive impairment in fragile X syndrome. J Neurosci. 2020;40:1355–65.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  69. 69.

    Schütt J, Falley K, Richter D, Kreienkamp HJ, Kindler S. Fragile X mental retardation protein regulates the levels of scaffold proteins and glutamate receptors in postsynaptic densities. J Biol Chem. 2009;284:25479–87.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  70. 70.

    Zalfa F, Eleuteri B, Dickson KS, Mercaldo V, De Rubeis S, Di Penta A, et al. A new function for the fragile X mental retardation protein in regulation of PSD-95 mRNA stability. Nat Neurosci. 2007;10:578–87.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  71. 71.

    Tang B, Wang T, Wan H, Han L, Qin X, Zhang Y, et al. Fmr1 deficiency promotes age-dependent alterations in the cortical synaptic proteome. Proc Natl Acad Sci U S A. 2015;112:E4697–E4606.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  72. 72.

    Hoeffer CA, Sanchez E, Hagerman RJ, Mu Y, Nguyen DV, Wong H, et al. Altered mTOR signaling and enhanced CYFIP2 expression levels in subjects with fragile X syndrome. Genes Brain Behav. 2012;11:332–41.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  73. 73.

    Korb E, Herre M, Zucker-Scharff I, Gresack J, Allis CD, Darnell RB. Excess translation of epigenetic regulators contributes to fragile X syndrome and is alleviated by Brd4 inhibition. Cell. 2017;170(1209–1223):e20.

    Google Scholar 

  74. 74.

    Kikkawa T, Obayashi T, Takahashi M, Fukuzaki-Dohi U, Numayama-Tsuruta K, Osumi N. Dmrta1 regulates proneural gene expression downstream of Pax6 in the mammalian telencephalon. Genes Cells. 2013;18:636–49.

    CAS  PubMed  Article  Google Scholar 

  75. 75.

    Kikkawa T, Sakayori N, Yuuki H, Katsuyama Y, Matsuzaki F, Konno D, et al. Dmrt genes participate in the development of Cajal-Retzius cells derived from the cortical hem in the telencephalon. Dev Dyn. 2020;249:698–710.

    CAS  PubMed  Article  Google Scholar 

  76. 76.

    Sato T, Muroyama Y, Saito T. Inducible gene expression in postmitotic neurons by an in vivo electroporation-based tetracycline system. J Neurosci Methods. 2013;214:170–6.

    CAS  PubMed  Article  Google Scholar 

  77. 77.

    Saito T, Nakatsuji N. Efficient gene transfer into the embryonic mouse brain using in vivo electroporation. Dev Biol. 2001;240:237–46.

    CAS  PubMed  Article  Google Scholar 

  78. 78.

    Xia J, Gill EE, Hancock REW. NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data. Nat Protoc. 2015;10:823–44.

    CAS  PubMed  Article  Google Scholar 

  79. 79.

    Spandidos A, Wang X, Wang H, Seed B. PrimerBank: a resource of human and mouse PCR primer pairs for gene expression detection and quantification. Nucleic Acids Res. 2009;38:792–9.

    Article  CAS  Google Scholar 

  80. 80.

    Hawes JJ, Tuskan RG, Reilly KM. Nf1 expression is dependent on strain background: implications for tumor suppressor haploinsufficiency studies. Neurogenetics. 2007;8:121–30.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

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We thank Dr. Yutaka Suzuki, Dr. Yuta Kuze, Ms. Kiyomi Imamura (Laboratory of Systems Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo), and Dr. Sumio Sugano (Department of Medical Genome Sciences, Graduate School of Frontier Sciences, The University of Tokyo) for sequencing using the NGS. We are grateful to Dr. Yoshio Wakamatsu (Department of Developmental Neuroscience, Tohoku University Graduate School of Medicine) for sharing his cloning techniques and fruitful discussion, to Dr. Tatsuya Sato (Tohoku Fukushi University) for the electroporation technique and to Tomomi Tanaka (Yokohama City University) for Fmr1 KO mouse maintenance and some of brain sample preparation.


This research was supported in part by the MEXT Grant-in-Aid for Scientific Research on Innovative Areas Grants #16H06530 and #221S0002 (to N.O), as well as the JSPS KAKENHI Grant #26291046 (to N.O).

Author information




C.C., T.K., H.I., Y.S., N.O conceptualized this study and designed the experiments. C.C., T.K., and H.I. performed the experiments and analyzed and interpreted the data. C.C. wrote the manuscript draft and T.K., H.I., Y.S., N.O. reviewed and edited the manuscript. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Noriko Osumi.

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Ethics approval and consent to participate

The use of mice and all experimental procedures were reviewed and approved by the Committee for Animal Experimentation of Tohoku University Graduate School of Medicine (2017-MDA-189) and the Animal care and Use Committee of Yokohama City University (TA-16-006).

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Not applicable.

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The authors declare no competing or financial interests.

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Supplementary Information

Additional file 1: Table S1.

865 FMRP target genes identified using RIP-seq.

Additional file 2: Table S2.

Gene ontology (biological process) analysis of the 118 shared genes.

Additional file 3: Table S3.

Hypergeometric distribution analyses between FMRP target genes.

Additional file 4: Table S4.

Primer sequences used for RIP-qPCR and RT-qPCR.

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Casingal, C.R., Kikkawa, T., Inada, H. et al. Identification of FMRP target mRNAs in the developmental brain: FMRP might coordinate Ras/MAPK, Wnt/β-catenin, and mTOR signaling during corticogenesis. Mol Brain 13, 167 (2020).

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  • RNA binding protein
  • FMRP
  • FXS
  • mRNA targets
  • Corticogenesis