Patients with myotonic dystrophy type 1 exhibit a diversity of symptoms that affect many different organs. Among these are cognitive dysfunctions, the origin of which has remained elusive, partly because of the difficulty in accessing neural cells. Here, we have taken advantage of pluripotent stem cell lines derived from embryos identified during a pre-implantation genetic diagnosis for mutant-gene carriers, to produce early neuronal cells. Functional characterization of these cells revealed reduced proliferative capacity and increased autophagy linked to mTOR signaling pathway alterations. Interestingly, loss of function of MBNL1, an RNA-binding protein whose function is defective in DM1 patients, resulted in alteration of mTOR signaling, whereas gain-of-function experiments rescued the phenotype. Collectively, these results provide a mechanism by which DM1 mutation might affect a major signaling pathway and highlight the pertinence of using pluripotent stem cells to study neuronal defects.

Owing to their ability to differentiate into a large spectrum of cell types, human disease-specific pluripotent stem cells of embryonic origin (hESCs), or more recently cells derived from the reprogramming of somatic cells (hiPSCs), appear to be a unique material in which to correlate molecular and functional pathological mechanisms within difficult-to-obtain cell populations (Maury et al., 2011). In the context of human neurological disorders, most of our current knowledge about molecular and cellular phenotypes has been gathered from studies in postmortem brain tissues, which are typically the end-stage of the disease and consequently may not be a fair illustration of how the disease developed. Human disease-specific pluripotent stem cells provide a unique opportunity to complement findings in human biopsies and animal models by analyzing the first stages of disease progression and deciphering molecular mechanisms that could be at the origin of a disease-related functional phenotype.

Over the past few years, a growing number of studies have demonstrated the usefulness of this approach to study both neurodevelopmental and neurodegenerative disorders. For example, pre-implantation genetically diagnosed embryos have been used to analyze molecular and functional defects in hESCs-derived neurons carrying a mutant gene responsible for fragile X (Eiges et al., 2007) and in motoneurons with myotonic dystrophy type 1 (DM1) (Marteyn et al., 2011). Other early childhood-onset monogenic disorders, such as Rett syndrome, familial dysautonomia disorder and spinal muscular atrophy, have been studied following the generation of hiPSCs from patients, and a defective neuronal phenotype associated with the expression of the mutant gene (Ebert et al., 2009; Kim et al., 2011; Lee et al., 2009). Human iPSCs have also been instrumental in deciphering a familial case of the late-onset neurodegenerative Parkinson's disease, associating the expression of a mutant gene with an increased sensitivity of hiPSCs-derived dopamine neurons to oxidative stress (Seibler et al., 2011).

Myotonic dystrophy type 1 is an autosomal dominant neuromuscular disorder with late clinical onset, caused by the expansion of trinucleotide CTG repeats in the 3′-untranslated region of the DMPK gene (Mahadevan et al., 1992). At the skeletal muscle level, three main molecular events can be described: (1) formation of nuclear foci that are composed at least of mutant DMPK mRNA and recruited RNA-binding proteins, such as splicing regulators and transcription factors (Ebralidze et al., 2004; Mankodi et al., 2001; Timchenko and Caskey, 1996); (2) disturbance of specific gene expression (Mankodi et al., 2002; Savkur et al., 2001; Yadava et al., 2008); and (3) impairment of cell proliferation and differentiation (Bigot et al., 2009; Furling et al., 2001; Timchenko et al., 2001a). Although DM1 has long been considered mainly as a muscle disorder, there is extensive evidence for the involvement of the central nervous system. Psychological dysfunction, mental retardation, excessive daytime sleepiness, and neuropathological abnormalities have been described in DM1 patients (Abe et al., 1994; Delaporte, 1998; Modoni et al., 2004; Modoni et al., 2008; Perini et al., 1999; Turnpenny et al., 1994). Nevertheless, in contrast to the substantial advances in understanding DM1 muscle pathology, the molecular and functional bases of DM1 in the central nervous system are still largely unknown.

In looking for molecular and functional mechanisms that could be implicated in neural development in DM1, we based our approach upon DM1-specific human pluripotent stem cells and their ability to differentiate into neural cells. We recently demonstrated that human embryonic stem cells (hESCs) obtained during pre-implantation genetic diagnosis for DM1 (Mateizel et al., 2006) represent a relevant cellular model for DM1. In particular, these human DM1-specific pluripotent stem cells have allowed us to discover new molecular mechanisms impeding the connectivity between DM1 hESCs-derived motor neurons and their muscle targets (Marteyn et al., 2011). To more broadly analyze the molecular and functional effects of the DM1 mutation in neural cells, we have taken advantage of progress made in neural differentiation protocols to obtain robust and homogenous neural precursor cell populations (Chambers et al., 2009). We show here that these neural cells exhibit a proliferation deficiency linked to a DM1-related impairment in mTOR signaling pathway activity, associated with increased autophagy.

Two human embryonic stem cell (hES) lines carrying large CTG expansions (VUB03_DM and VUB24_DM) obtained from independent couples, and one wild-type control cell line (VUB01_WT) were successfully differentiated toward a homogenous population of neural stem cells (NSCs). No differences in morphology and in the expression of NSC-specific markers such as Nestin and Sox2 were observed during the differentiation process (Fig. 1A–C). Moreover, no difference in neuronal differentiation was observed between control and mutant cells at day 20 for most of the analyzed gene markers, including SNAP25, DLG4 and MAPT, although we cannot completely exclude a difference between DM1 and WT over the time course of neuronal differentiation (supplementary material Fig. S1). To validate their pathological relevance, we performed in situ hybridization combined with immunostaining which showed that DM1-NSCs and derived neurons harbored intranuclear ribonucleoprotein aggregates (known as ‘foci’), formed by the mutant RNA and the splice factor MBNL1, which are typical of the disease (Fig. 1D and supplementary material Fig. S1). The nuclear retention of MBNL1 was also confirmed by western blotting (Fig. 1E).

Fig. 1.

Characterization of DM1-NSCs. (A) Morphology and expression of specific neural markers (SOX2 and Nestin) in NSCs derived from WT-hESC and two DM1-hESC lines. Nuclei were counterstained with DAPI (blue). Scale bars: 20 µm. (B) Quantification of Nestin expression by FACS analysis. (C) Quantitative real-time RT-PCR analysis of hESC-derived NSCs. RT-PCR levels are presented as the fold change relative to undifferentiated hESC lines after normalization with 18S rRNA levels. (D) Detection of mutant RNA with a (CAG)10-Cy3 probe staining and MBNL1 (Muscleblind) protein by immunofluorescence. Nuclei were counterstained using DAPI (blue). The number of foci per nucleus was quantified using ArrayScan, and is presented for each cell line as a pie chart. (E) Expression of MBNL1 and CUGBP1 proteins measured by western blot analysis after nucleus (N) and cytoplasm (C) subcellular fractionation. Lamin and β-actin were used as loading controls.

Fig. 1.

Characterization of DM1-NSCs. (A) Morphology and expression of specific neural markers (SOX2 and Nestin) in NSCs derived from WT-hESC and two DM1-hESC lines. Nuclei were counterstained with DAPI (blue). Scale bars: 20 µm. (B) Quantification of Nestin expression by FACS analysis. (C) Quantitative real-time RT-PCR analysis of hESC-derived NSCs. RT-PCR levels are presented as the fold change relative to undifferentiated hESC lines after normalization with 18S rRNA levels. (D) Detection of mutant RNA with a (CAG)10-Cy3 probe staining and MBNL1 (Muscleblind) protein by immunofluorescence. Nuclei were counterstained using DAPI (blue). The number of foci per nucleus was quantified using ArrayScan, and is presented for each cell line as a pie chart. (E) Expression of MBNL1 and CUGBP1 proteins measured by western blot analysis after nucleus (N) and cytoplasm (C) subcellular fractionation. Lamin and β-actin were used as loading controls.

Functional consequences of DM1 in neural stem cells

Quantitative analysis of doubling time by measurement of the ATP concentration in cell cultures indicated that the proliferation rate of DM1-NSCs was reduced compared to controls (Fig. 2A,B). Consistent with this observation, a decreased number of Ki67-positive cells was observed in DM1-NSC cultures (Fig. 2C), in association with decreased PCNA gene expression and decreased phosphorylation of the Rb protein (Fig. 2D,E). In addition, expression of other cell cycle regulators was deregulated in DM1 cells in comparison with control, with increased p27kip1 (Fig. 2F) and P15 proteins and decreased cyclin D1 and P21 (Fig. 2G).

Fig. 2.

DM-NSCs exhibit lower proliferative capacity. (A) Proliferation rate of WT-NSCs and DM1-NSCs detected by quantification of intracytoplasmic ATP during 6 days in culture. (B) Analysis of the doubling time for WT-NSCs and DM1-NSCs. (C) Decrease in the number of Ki67-positive DM1-NSCs (VUB03_DM) after 48 hours in culture in comparison with WT-NSCs. The number of Sox2-positive cells was used as a control for the NSCs phenotype. Ki67-positive cells were detected and quantified using the automated ArrayScan Imager. (D) Decreased expression of the proliferative marker PCNA in DM1-NSCs in comparison with WT-NSCs, as revealed by real-time RT-PCR analysis. RT-PCR levels are presented as a fold change over control WT-NSCs after normalization with 18S rRNA levels. (E) Decreased expression level of phosphorylated Rb (S807–811) in DM1-NSCs (VUB03_DM) compared with WT-NSCs, as determined by western blotting. (F) Increased expression level of P27 in DM1-NSCs compared with control NSCs as revealed by western blotting. (G) Altered expression of p15ink4B, p21waf1 and Cyclin D1 proteins in DM1-NSCs determined by western blot analysis. All western blot analyses were performed using protein extracted from NSCs after 48 hours in culture. Band densities were quantified using ImageJ software. Data are means ± s.e.m. of least three independent samples. One-way ANOVA with Dunnett's post-hoc test was performed; ns, not significant, *P<0.05, **P<0.01, ***P<0.001.

Fig. 2.

DM-NSCs exhibit lower proliferative capacity. (A) Proliferation rate of WT-NSCs and DM1-NSCs detected by quantification of intracytoplasmic ATP during 6 days in culture. (B) Analysis of the doubling time for WT-NSCs and DM1-NSCs. (C) Decrease in the number of Ki67-positive DM1-NSCs (VUB03_DM) after 48 hours in culture in comparison with WT-NSCs. The number of Sox2-positive cells was used as a control for the NSCs phenotype. Ki67-positive cells were detected and quantified using the automated ArrayScan Imager. (D) Decreased expression of the proliferative marker PCNA in DM1-NSCs in comparison with WT-NSCs, as revealed by real-time RT-PCR analysis. RT-PCR levels are presented as a fold change over control WT-NSCs after normalization with 18S rRNA levels. (E) Decreased expression level of phosphorylated Rb (S807–811) in DM1-NSCs (VUB03_DM) compared with WT-NSCs, as determined by western blotting. (F) Increased expression level of P27 in DM1-NSCs compared with control NSCs as revealed by western blotting. (G) Altered expression of p15ink4B, p21waf1 and Cyclin D1 proteins in DM1-NSCs determined by western blot analysis. All western blot analyses were performed using protein extracted from NSCs after 48 hours in culture. Band densities were quantified using ImageJ software. Data are means ± s.e.m. of least three independent samples. One-way ANOVA with Dunnett's post-hoc test was performed; ns, not significant, *P<0.05, **P<0.01, ***P<0.001.

Measurement of necrosis or apoptosis by annexinV and propidium iodide staining, PARP cleavage and caspase-3 expression revealed no differences between DM1- and WT-NSCs. Similarly, staining for β-galactosidase did not reveal any differences in the proportion of senescent cells in the DM1- and WT-NSC cultures (supplementary material Fig. S2). Altogether, these results indicated that the reduced proliferative capacity of DM1-NSCs was not associated with an increase in either cell mortality or senescence.

Large cytoplasmic vacuoles were observed in DM1-NSCs, suggesting the induction of autophagy (Fig. 3A). Confirming this functional phenotype, increased expression of the autophagic markers LC3B-II, p62 and ATG12 protein was observed in DM1-NSCs (Fig. 3B–F), as well as significantly increased expression of the lysosomal cathepsin B marker both at the mRNA and the protein level (supplementary material Fig. S3). In addition, the nucleofection of a plasmid encoding the LC3–GFP fusion protein, used as a marker for autophagic vesicles and pre-autophagic compartments, resulted in more LC3–GFP aggregates in DM1-NSCs relative to controls (Fig. 3C,D). As a positive control, treatment of WT-NSCs with either EBSS medium or chloroquine resulted in an increased number of cells containing LC3–GFP aggregates. No effect of chloroquine treatment was observed on DM1-NSCs suggesting that these cells could not accumulate additional autophagic vacuoles.

Fig. 3.

Induction of autophagy in DM-NSCs. (A) Phase-contrast microscopy of cytoplasmic vacuoles in DM1-NSCs compared with control cells after 24 hours in culture. (B) Increased expression level of LC3B-II in DM1-NSCs (VUB03_DM) as determined by western blotting after 48 hours in culture. (C) Nucleofection of DM1- and WT-NSCs with a plasmid expressing a LC3–GFP fusion for 48 hours (VUB03_DM and VUB01_WT, respectively). (D) Increased number of cells containing LC3–GFP dots in the cytoplasm of DM1-NSCs, as quantified using the automated ArrayScan Imager. EBSS and chloroquine at 50 µM were used as positive controls. Data are presented as the percentages of positive cells. (E) Detection by immunostaining of two autophagic markers p62 and ATG12 in WT and DM1-NSCs (VUB03_DM and VUB01_WT, respectively). Data are expressed as means ± s.e.m. of at least three independent samples. One-way ANOVA with Dunnett's post-hoc test was performed; ns, not significant, *P<0.05, **P<0.01, ***P<0.001.

Fig. 3.

Induction of autophagy in DM-NSCs. (A) Phase-contrast microscopy of cytoplasmic vacuoles in DM1-NSCs compared with control cells after 24 hours in culture. (B) Increased expression level of LC3B-II in DM1-NSCs (VUB03_DM) as determined by western blotting after 48 hours in culture. (C) Nucleofection of DM1- and WT-NSCs with a plasmid expressing a LC3–GFP fusion for 48 hours (VUB03_DM and VUB01_WT, respectively). (D) Increased number of cells containing LC3–GFP dots in the cytoplasm of DM1-NSCs, as quantified using the automated ArrayScan Imager. EBSS and chloroquine at 50 µM were used as positive controls. Data are presented as the percentages of positive cells. (E) Detection by immunostaining of two autophagic markers p62 and ATG12 in WT and DM1-NSCs (VUB03_DM and VUB01_WT, respectively). Data are expressed as means ± s.e.m. of at least three independent samples. One-way ANOVA with Dunnett's post-hoc test was performed; ns, not significant, *P<0.05, **P<0.01, ***P<0.001.

Alteration of mTOR signaling pathways in DM1 neural cells

To assess the central role of AKT/mTOR signaling pathways in both cell-cycle control and autophagy, expression of their main components, namely Akt, AMPK, GSK3α/β and rpS6 (Ser235/236) (ribosomal protein S6) was systematically analyzed. Gene expression and protein levels were unaltered for all of these components, when analyzed by quantitative PCR and western blotting, respectively (Fig. 4; supplementary material Fig. S4). In contrast, analysis of the post-translational activation of these proteins through phosphorylation revealed major differences between DM1-NSCs and controls. Whereas phosphorylation of the upstream components Akt (Ser473) and AMPK (Thr172) appeared unaffected, the downstream GSK3α/β (Ser21/9) and rpS6 (Ser235/236 and Ser240/245) were decreased in DM1-NSCs (Fig. 4A,B) through a mechanism independent of a stress-induced activation of P53 (supplementary material Fig. S4).

Fig. 4.

mTOR signaling pathway is defective in DM1-NSCs. (A) Expression level of key modulators of Akt/mTOR signaling in DM1-NSCs and WT-NSCs including: phospho(Ser473)-Akt, phospho(Thr172)-AMPKα, phospho(Ser21/9)-GSK3α/β and phospho(Ser235–236)-ribosomal protein S6 (rpS6) and the corresponding total forms. Cell lysates were obtained after 48 hours in culture. (B) Decreased phosphorylation of S6 ribosomal protein at serine 235–236 and serine 240–245 in DM1-NSCs compared with control NSCs after 48 hours in culture. (C) Effect of the different growth factors required for NSC culture (i.e. EGF, FGF2, BDNF) on the phosphorylation of P-rpS6 (Ser235–236). DM1-NSCs and WT-NSCs were growth-factor starved for 48 hours and subsequently treated for 1 hour with or without each of the growth factors. (D) FGF2 dose–response analysis of DM1- and WT-NSCs after growth factor starvation and treatment with 1–100 nM FGF2 for 1 hour. The expression level of rpS6 and ERK1/2 was analyzed. (E) Kinetics of FGF2 treatment on DM1-and WT-NSCs as determined by the expression of rpS6 and ERK1. Cells were starved for 48 hours and then treated for various durations with 10 nM FGF2. Western blots were quantified using ImageJ software and quantitative data are presented as the phosphorylated form normalized to the total form. VUB03_DM cells were used as a source for DM1-NSCs. Data are expressed as means ± s.e.m. of three independent samples. One-way ANOVA with Dunnett's post-hoc test was performed; ns, not significant, *P<0.05, **P<0.01, ***P<0.001.

Fig. 4.

mTOR signaling pathway is defective in DM1-NSCs. (A) Expression level of key modulators of Akt/mTOR signaling in DM1-NSCs and WT-NSCs including: phospho(Ser473)-Akt, phospho(Thr172)-AMPKα, phospho(Ser21/9)-GSK3α/β and phospho(Ser235–236)-ribosomal protein S6 (rpS6) and the corresponding total forms. Cell lysates were obtained after 48 hours in culture. (B) Decreased phosphorylation of S6 ribosomal protein at serine 235–236 and serine 240–245 in DM1-NSCs compared with control NSCs after 48 hours in culture. (C) Effect of the different growth factors required for NSC culture (i.e. EGF, FGF2, BDNF) on the phosphorylation of P-rpS6 (Ser235–236). DM1-NSCs and WT-NSCs were growth-factor starved for 48 hours and subsequently treated for 1 hour with or without each of the growth factors. (D) FGF2 dose–response analysis of DM1- and WT-NSCs after growth factor starvation and treatment with 1–100 nM FGF2 for 1 hour. The expression level of rpS6 and ERK1/2 was analyzed. (E) Kinetics of FGF2 treatment on DM1-and WT-NSCs as determined by the expression of rpS6 and ERK1. Cells were starved for 48 hours and then treated for various durations with 10 nM FGF2. Western blots were quantified using ImageJ software and quantitative data are presented as the phosphorylated form normalized to the total form. VUB03_DM cells were used as a source for DM1-NSCs. Data are expressed as means ± s.e.m. of three independent samples. One-way ANOVA with Dunnett's post-hoc test was performed; ns, not significant, *P<0.05, **P<0.01, ***P<0.001.

To eliminate the possibility of a non-specific effect of the growth factors present in the medium [i.e. epidermal growth factor (EGF), fibroblast growth factor (FGF2) and brain-derived neurotrophic factor (BDNF)] on mTOR signaling pathway activity, NSCs were starved for 48 hours and then treated for 1 hour with each factor alone or in combination. No effect of EGF and/or BDNF was observed on phosphorylated rpS6 (Ser235/236) levels. Treatment with FGF2 resulted in a dramatic increase in phosphorylated rpS6 (Ser235/236) through the activation of phospho-Erk1/2, equally in DM1- and WT-NSCs (Fig. 4C,E). The effect of FGF2-mediated ERK1/2 activation on the phosphorylation of rpS6 was transient, as it disappeared 48 hours after treatment. As all our experiments were performed 48 hours after treatment with growth factors, these results suggest that there might be a differential impact of growth factors in the medium on mTOR signaling pathways in DM1- and WT-NSCs.

Molecular correlates of functional defects in DM1 neural cells

A potential link between the functional defects in proliferation and autophagy observed in DM1-NSCs and the decreased activation of mTOR signaling was explored by analyzing the functional consequences of a partial pharmacological blockade of the pathway in WT-NSCs. Cells were treated with rapamycin, a specific mTOR inhibitor. Rapamycin provoked a dramatic decrease in phosphorylated rpS6 (Ser235/236) (P-rpS6) without substantial modulation of either phosphorylated Akt (Ser473), GSK3α(Ser21) or GSK3β (Ser9) (Fig. 5A,B; supplementary material Fig. S4). Functional defects associated with this molecular alteration were reminiscent of the phenotype described above for DM1-NSCs, as rapamycin-treated WT-NSCs exhibited impaired proliferative capacity (Fig. 5C,D; supplementary material Fig. S4) and induction of autophagy, as shown by LC3–GFP aggregation after transfection with the fusion protein plasmid (Fig. 5E,F).

Fig. 5.

The mTOR defect is correlated with decreased proliferation and induction of autophagy in DM-NSCs. (A) Effect of rapamycin treatment on the expression of key players of the Akt/mTOR signaling pathway in DM1-and WT-NSCs, determined by western blot analysis. (B) Detection, by immunofluorescence, of P-rpS6 (Ser235–236) in DM1-and WT-NSCs after treatment with rapamycin (10 nM) for 48 hours. (C) Effect of rapamycin treatment (10 nM for 4 days) on proliferation rate of WT-NSCs as determined by measuring intracytoplasmic ATP. (D) Quantification of the proliferation index of the WT-NSCs with or without rapamycin treatment (10 nM) for 4 days. Data are presented as the mean signal [ATP] at day x+1/x compared with the control condition (arbitrarily 100%). (E) Detection of autophagy using anti-LC3B antibody in WT-NSCs treated with rapamycin (10 nM) or treated with chloroquine (50 µM) for 6 hours. (F) Quantification of autophagosomes after transfection of WT-NSCs with a plasmid expressing LC3–GFP fusion protein for 48 hours and treatment with rapamycin and/or chloroquine for 6 hours. Data are presented as a percentage of positive cells quantified using the automated ArrayScan Imager. Statistical data are expressed as means ± s.e.m. of at least three independent samples. One-way ANOVA with Dunnett's post-hoc test was performed; **P<0.01, ***P<0.001.

Fig. 5.

The mTOR defect is correlated with decreased proliferation and induction of autophagy in DM-NSCs. (A) Effect of rapamycin treatment on the expression of key players of the Akt/mTOR signaling pathway in DM1-and WT-NSCs, determined by western blot analysis. (B) Detection, by immunofluorescence, of P-rpS6 (Ser235–236) in DM1-and WT-NSCs after treatment with rapamycin (10 nM) for 48 hours. (C) Effect of rapamycin treatment (10 nM for 4 days) on proliferation rate of WT-NSCs as determined by measuring intracytoplasmic ATP. (D) Quantification of the proliferation index of the WT-NSCs with or without rapamycin treatment (10 nM) for 4 days. Data are presented as the mean signal [ATP] at day x+1/x compared with the control condition (arbitrarily 100%). (E) Detection of autophagy using anti-LC3B antibody in WT-NSCs treated with rapamycin (10 nM) or treated with chloroquine (50 µM) for 6 hours. (F) Quantification of autophagosomes after transfection of WT-NSCs with a plasmid expressing LC3–GFP fusion protein for 48 hours and treatment with rapamycin and/or chloroquine for 6 hours. Data are presented as a percentage of positive cells quantified using the automated ArrayScan Imager. Statistical data are expressed as means ± s.e.m. of at least three independent samples. One-way ANOVA with Dunnett's post-hoc test was performed; **P<0.01, ***P<0.001.

Association of mTOR signaling alterations with expression of the mutant DMPK gene was controlled by transient transfection of WT-NSCs with a plasmid containing an extended stretch of 960 CTG repeats. Treated cells exhibited a profound decrease in P-rpS6 as well as P-GSK3β, which was consistent with our working hypothesis (Fig. 6A,B; supplementary material Fig. S5). The main consequence of the presence of an extended stretch of CUG repeats in DM1-NSCs is the decreased bioavailability of the MBNL1 protein due to its sequestration in intranuclear foci. To reproduce this phenomenon in WT-NSCs, MBNL1 gene expression was knocked down using specific siRNAs. MBNL1-depleted cells exhibited significantly decreased levels of P-rpS6 and, to a lesser extent, decreased levels of P-GSK3α/β (Ser21/9) (Fig. 6C). Conversely, overexpression of MBNL1 in DM1-NSCs elicited a partial restoration of the phosphorylation of rpS6 (Ser232/236) (Fig. 6D). These changes in MBNL1 expression in DM1- and WT-NSCs led to altered proliferation and autophagy (Fig. 6E,F).

Fig. 6.

mTOR signaling defect in DM1-NSCs is related to MBNL1. (A) Decreased expression level of P-rpS6 after transfection of WT-NSCs with a plasmid expressing 960 CTG for 24 hours. (B) Western blots were analyzed using ImageJ software and quantitative data are presented as the phosphorylated form normalized to the total form. (C) Expression level of the key modulators of the Akt/mTOR signaling pathway in WT-NSCs nucleofected with a SiRNA targeting MBNL1 or with a siScramble RNA for 48 hours. Data are presented as the phosphorylated form normalized to the total form. (D) Effect of the overexpression of MBNL1 in DM1-NSCs on the expression level of the key modulators of the Akt/mTOR signaling pathway. Cells were nucleofected with a plasmid encoding the 43 kDa isoform of the MBNL1 protein (pMBNL1) or mock nucleofected for 48 hours. Quantitative data are presented as phosphorylated form normalized to their total form. Western blots were quantified using ImageJ software. (E) Effect of the downregulation of MBNL1 in WT-NSCs and the overexpression of MBNL1 in DM1-NSCs on proliferation. Proliferation was measured by immunostaining for Ki67 48 hours after nucleofection. (F) Effect of the downregulation of MBNL1 in WT-NSCs and the overexpression of MBNL1 in DM1-NSCs on the induction of autophagy. Cells were co-nucleofected with a plasmid expressing the LC3–GFP protein fusion and autophagy was quantified 48 hours after nucleofection by measuring the number of cells containing LC3–GFP dots. Data are expressed as means ± s.e.m. of at least three independent samples. One-way ANOVA with Dunnett's post-hoc test was performed, *P<0.05, **P<0.01.

Fig. 6.

mTOR signaling defect in DM1-NSCs is related to MBNL1. (A) Decreased expression level of P-rpS6 after transfection of WT-NSCs with a plasmid expressing 960 CTG for 24 hours. (B) Western blots were analyzed using ImageJ software and quantitative data are presented as the phosphorylated form normalized to the total form. (C) Expression level of the key modulators of the Akt/mTOR signaling pathway in WT-NSCs nucleofected with a SiRNA targeting MBNL1 or with a siScramble RNA for 48 hours. Data are presented as the phosphorylated form normalized to the total form. (D) Effect of the overexpression of MBNL1 in DM1-NSCs on the expression level of the key modulators of the Akt/mTOR signaling pathway. Cells were nucleofected with a plasmid encoding the 43 kDa isoform of the MBNL1 protein (pMBNL1) or mock nucleofected for 48 hours. Quantitative data are presented as phosphorylated form normalized to their total form. Western blots were quantified using ImageJ software. (E) Effect of the downregulation of MBNL1 in WT-NSCs and the overexpression of MBNL1 in DM1-NSCs on proliferation. Proliferation was measured by immunostaining for Ki67 48 hours after nucleofection. (F) Effect of the downregulation of MBNL1 in WT-NSCs and the overexpression of MBNL1 in DM1-NSCs on the induction of autophagy. Cells were co-nucleofected with a plasmid expressing the LC3–GFP protein fusion and autophagy was quantified 48 hours after nucleofection by measuring the number of cells containing LC3–GFP dots. Data are expressed as means ± s.e.m. of at least three independent samples. One-way ANOVA with Dunnett's post-hoc test was performed, *P<0.05, **P<0.01.

The primary finding of the current study was the identification of an altered mTOR signaling pathway, which results in reduced proliferative capacity and induction of autophagy in neural cells derived from DM1 gene-carrying human embryonic stem cells. This alteration in the mTOR signaling pathway could be reproduced by reducing the bioavailability of the RNA-binding protein MBNL1 in WT cells, mimicking the defect associated with the expression of the DM1 mutation. The functional abnormalities associated with the altered mTOR pathway might contribute to the neurological aspects of this disease. This study further highlights the value of mutant gene-carrying human stem cell lines obtained from pre-implantation genetically diagnosed embryos in helping to decipher the molecular mechanisms and the functional consequences related to these mutations.

Molecular mechanisms involved in DM1 pathophysiology have been mainly identified by using animal models. Few human cell culture models have been developed; most are based on the use of muscle precursor cells derived from congenital forms of DM1, which are characterized by very large stretches of CTG repeats (>2000). Myoblasts derived from congenital forms of DM1 have alteration in various cell-cycle modulators, including p21 and cyclin D1 (Timchenko et al., 2001b; Timchenko et al., 2004). They also exhibit premature senescence through a p16-dependent mechanism and defect in p38MAPK and ERK MEK (Bigot et al., 2009), leading to defective proliferation and differentiation (Beffy et al., 2010; Bigot et al., 2009; Timchenko et al., 2001b; Timchenko et al., 2004). In addition, the induction of autophagy has been recently observed in myoblasts derived from congenital DM1 patients; a link to a p53-dependent inhibition of mTOR pathway in response to metabolic stress has been hypothesized (Beffy et al., 2010).

Our results have in part confirmed these data, by extending them to DM1 neural precursor cells, in which altered proliferation and induction of autophagy were observed. However, molecular mechanisms responsible for those effects were not similar as neither persistent activation of the FGF2-dependent MEK–ERK pathway nor abnormal p53 activation was observed in DM1-NSCs. Therefore, the current results do not support the hypothesis of a cellular stress response in DM1 cells, which would be secondarily responsible for the mTOR signaling pathway alterations. Nevertheless, we cannot exclude the possibility that these discrepancies are due to the differences between either the cell types analyzed or the number of CTG repeats in the two cellular systems. Indeed, mTOR signaling was altered in the current study in the presence of only 1000 CTG repeats in DM1-NSCs or after transfection of a plasmid with 960 repeats in WT-NSCs, i.e. in conditions that are unlikely to be linked with congenital forms of the disease.

Conversely, our data point to a specific defect in the activity of the glycogen synthase kinase 3 (GSK3) being involved in the disease. GSK3 activity is inhibited through phosphorylation of serine 21 in GSK-3α and serine 9 in GSK-3β, which have been identified as targets of Akt and AMPK (Fang et al., 2000). The inhibition of GSK3 may participate in the activation of mTOR, which results in the increased phosphorylation of rpS6 (Jastrzebski et al., 2007). According to this cascade of events and in the absence of any alteration in the activation of Akt or AMPK in DM1 neural cells, the decreased mTOR-dependent phosphorylation of rpS6 can be directly associated with this decreased inhibition of GSK3. Alternatively, as GSK3 acts as an integrator of Akt and Wnt signals, the observed alteration of the GSK3/mTOR pathway is related to a Wnt defect (Ma et al., 2010; Vigneron et al., 2011). Consistent with the results of the current study, alteration of GSK3 phosphorylation was also observed in a rat PC12 cell line expressing 90 CUG repeats, which resulted in altered expression and phosphorylation of Tau (Hernández-Hernández et al., 2006). Given the crucial role of Tau in neurodegenerative diseases, further investigations into whether the decreased GSK3 phosphorylation observed in DM1-NSCs could lead to defects in Tau expression would be of interest.

Mechanisms by which the mutation causing DM1 could modulate the phosphorylation of specific molecular targets of the mTOR signaling pathways remain to be determined. Three main hypotheses may be proposed: (1) haploinsufficiency of the DMPK gene (Reddy et al., 1996); (2) alteration of the expression of neighboring genes such as SIX5 and DMDW (Klesert et al., 2000; Sarkar et al., 2000); (3) toxic gain-of-function of the mutant mRNA because of the sequestration of proteins involved in RNA processing, such as the MBNL1 protein (Ranum and Cooper, 2006). Although several lines of evidence suggest that the toxic gain-of-function of the mutant RNA corresponds to the main mechanism by which the mutation resulting in DM1 causes the complex pattern of the disease, the contributions of each of these mechanisms are not mutually exclusive. As an example, insulin-resistance associated with DM1 has been correlated with both DMPK haploinsufficiency and aberrant regulation of alternate splicing of the insulin receptor because of the loss of bioavailability of MBNL1 (Llagostera et al., 2007; Savkur et al., 2001). The current results following gain- or loss-of-function of MBNL1 support the hypothesis of a potential role for a toxic RNA mechanism in mTOR signaling alterations that involves loss of MBNL1 bioavailability. Further studies will be required to determine the mechanism by which MBNL1 may modulate the GSK3/mTOR signaling pathway. However, it is worth mentioning that the effect of gain- and loss-of-function of MBNL1 is less pronounced on proliferation than on autophagy, which suggests the involvement of other modulators in the proliferation phenotype. Accordingly, CUGBP1, another RNA-binding protein whose expression is affected by the presence of the DM1 mutation, has been shown to affect the expression of cell-cycle inhibitor p21 expression in DM1.

A large number of neurological abnormalities have been reported in patients both at the clinical and histological levels (de León and Cisneros, 2008). Central nervous system involvement in DM1 implicates cognitive impairment, hypersomnolence, and personality and behavioral disturbances (Abe et al., 1994; Delaporte, 1998; Meola et al., 2003; Modoni et al., 2008; Turnpenny et al., 1994). Grey matter reduction has also been described in various cortical regions, the hippocampus and the thalamus of DM1 patients (Minnerop et al., 2008; Minnerop et al., 2011; Weber et al., 2010). At the molecular level, nuclear aggregation of mutant mRNAs in combination with MBNL1 has been described in cortical and subcortical neuronal cells of DM1 patients post-mortem (Jiang et al., 2004). Alternative splicing of N-methyl-D-aspartate receptor1 (NMDAR1), amyloid beta precursor protein (APP) and microtubule-associated protein tau (MAPT) is abnormally regulated in DM1 brain tissue samples, even though direct involvement of MBNL1 in these splice defects has not been demonstrated (Jiang et al., 2004). However, the functional consequences as well as the precise neuropathological contributions of these molecular abnormalities are still unclear. MBNL1 knockout mice exhibit cognitive impairments, suggesting that MBNL1 loss-of-function might be implicated in the neuropathology of DM1 (Matynia et al., 2010). The MBNL1 knockout mouse model has also identified novel splicing defects in the brain, including Sorbs1, Dclk1 and Camk2d (Suenaga et al., 2012), but these genes have not been associated with clinical symptoms, yet. Lastly, a very recent study using a MBNL2 knockout mouse model suggests an essential role for this gene in the DM1 developing brain (Charizanis et al., 2012). However, this conclusion needs to be qualified in the light of redundant functions of the different types of MBNL1 and MBNL2 proteins (Wang et al., 2012).

The results of the current study shed some light on the neuropathology of DM1, as we have identified an MBNL1-dependent mTOR signaling defect, leading to functional abnormalities, in neural precursors that have been shown by previous authors to exhibit a telencephalic phenotype (Chambers et al., 2009). Tentatively, and subject to further validation, one may relate the proliferation defects observed in DM1-NSCs to the reduced volume of the grey matter in DM1 patients. mTOR-dependent induction of autophagy may also participate in the neuropathology, as a similar process has been suggested to play a role in other neurological disorders involving abnormal protein aggregations, such as Parkinson's, Alzheimer's and Huntington's diseases (Garelick and Kennedy, 2011).

Cell cultures

hES cells were propagated as previously described (Marteyn et al., 2011). The differentiation of hES into NSCs was performed using a SMAD inhibitor protocol (Chambers et al., 2009). Briefly, hES colonies were mechanically dissociated and incubated in suspension with N2B27 medium containing DMEM/F12 medium with Glutamax I mixed with neurobasal medium; N2 supplement; B27 supplement without vitamin A; β-mercaptoethanol (all from Invitrogen) (1:1 vol). The following were also added: human recombinant noggin, a BMP pathway inhibitor, used at 300 ng/ml (PeproTech); SB-431542, a TGFβ pathway inhibitor, used at 20 µM (Tocris); and Y-27632, a ROCK inhibitor, used at 20 µM (Calbiochem). After 6 hours, aggregates were transferred to a dish pre-coated with 0.01% polyornithine (Sigma) and laminin 1 ng/ml (Sigma) and maintained with medium (without Y-27632). After the appearance of neural rosettes following 8–10 days of differentiation, the medium was replaced with the N2B27 medium supplemented with EGF at 10 ng/ml (R&D Systems), FGF2 at 10 ng/ml (PeproTech) and human BDNF (hBDNF) at 20 ng/ml (R&D Systems). For differentiation into neurons, NSCs were seeded at a density of 50,000 cells per cm2 on polyornithine/laminin-coated dishes in N2B27 medium containing hBDNF but without EGF and FGF2. Medium was changed every other day for 20 days. Treatment with chemical compounds such as rapamycin (Cell Signaling), chloroquine and bafilomycin (Sigma) was performed according to the manufacturer's instructions.

Senescence, apoptosis and proliferation assay

A senescence assay was performed using a senescence detection kit based on β-galactosidase activity, as per the manufacturer's instructions (Abcam). Apoptosis assay was performed using Vybrant Apoptosis Assay Kit (Molecular Probes) according to manufacturer's recommendations and proliferation was measured using CTG Cell Titer Glo® (Promega). Briefly, at day 1 NSCs were plated in 96-well plates in 100 µl medium at 2000 cells/cm2. CellTiter-Glo® reagent (Promega) was added to the cells and the bioluminescence signal was read 40 minutes later on an AnalystGT microplate reader (Molecular devices).

Mean doubling time (Tmean) was calculated for each cell line as follows:
The number of cells (ncells) at a defined time of the experiment was calculated using a calibration curve obtained by serial dilution of a defined number of cells and correlated to the luminescence signal (proportional to the intracellular concentration of ATP).

RNA extraction and real-time RT-PCR

Total RNA from cells was extracted using the ‘RNeasy Mini Kit Protocol’ (Qiagen). Reverse transcription was performed with SuperScript III reverse transcriptase (Invitrogen) and real-time PCR were performed with SyberGreen PCR Master Mix (Applied Biosystems) on a Chromo4 real-time system (Bio-Rad) as previously described (Marteyn et al., 2011). Primers are listed in supplementary material Table S1.

Nucleofection experiments with p960-CTG, siMBNL1 and the expression plasmid MBNL1

The sequence encoding the 43 kDa isoform of MBNL1 inserted in the pCDNA3.1 vector and the plasmid (CTG)960 were kindly provided by Dr Nicolas Charlet (CERBM-GIE, Illkirch, France). The plasmid expressing the LC3–GFP fusion protein was kindly provided by Prof. Codogno (INSERM U984, Chatenay-Malabry, France). The siRNA sequence for MBNL1 knock-down was previously described (Dansithong et al., 2005).

These expression vectors and siRNAs were nucleofected into NSCs using the Rat Neural Stem Cell Nucleofector Kit (Lonza) according to the manufacturer's instructions.

Immunocytochemistry and fluorescent in situ hybridization

Immunocytochemisty and fluorescent in situ hybridization were performed as previously described (Marteyn et al., 2011). Primary antibodies are listed in supplementary material Table S2. Immunostaining was analyzed by epifluorescence microscopy with the Zeiss Imager Z1 and the Zeiss Axiovert 40CFL, and images were captured with the Zeiss Axiocam mRM.

ArrayScan analysis

The number of nuclei with foci, the number of foci per nucleus and the number of cells with at least two LC3–eGFP-positive autophagosomes were counted using the ArrayScan VTI HCS Reader (Cellomics). Data were examined using the Cell Selecting software (Cellomics) as previously described (Marteyn et al., 2011).

SDS poly-acrylamide gel electrophoresis and western blotting

Cells were lysed in RIPA lysis buffer (Sigma) supplemented with anti-protease cocktail (Sigma) and anti-phosphatase (Roche). Nuclear and cytoplasmic fractions were extracted using the NE-PER Kit (Thermoscientific). The protein concentration of the cell extracts was measured at 562 nm using the Pierce® BCA Protein Assay Kit (Perbio Thermo Scientific) according to the manufacturer's instructions and using a plate analyzer (Biotek). SDS-PAGE was performed using NuPAGE® Novex 4–12% Bis-Tris gels (Invitrogen); 10–30 µg of total protein was loaded per lane. iBlot® Gel Transfer Stack (Invitrogen) was used for the transfer onto nitrocellulose membranes. Membranes were blocked with 5% non-fat milk in phosphate-buffered saline containing 0.1% Tween 20 for 1 hour (except for MBNL1 antibody which requires 2% fetal calf Serum in PBST), then incubated overnight at 4°C in 5% non-fat milk in PBST (except for MBNL1 in PBST only) with primary antibodies at the appropriate dilution. The antibodies used are listed in supplementary material Table S2. Immunoreactive bands were revealed using the Amersham ECL Plus™ Western Blotting Detection Reagents (GE Healthcare). Equal protein loading was verified by the detection of actin. Quantification was performed using ImageJ software (NIH).

Statistical analysis

All the data are given as means ± standard error of the mean (s.e.m.) and were analyzed using GraphPad Prism 6.0 software. All the statistical tests were performed at least three times and one-way ANOVA with Dunnett's post-hoc test was used.

We thank Dr Genevieve Gourdon (INSERM U781, Paris, France) for performing CTG repeats analysis; Karen Sermon (AZ-VUB Brussels, Belgium) for providing DM1 and control hES cell lines; Dr Nicolas Charlet (INSERM, Strasbourg, France) and Dr Glen Morris for providing us with resources; Prof. Patrice Codogno and Isabelle Beau (INSERM U984) for the LC3BeGFP construction and their very helpful advice concerning autophagy; Dr Denis Furling (INSERM U787, Paris, France), Dr Nicolas Sergeant and Dr Marie-Laure Caillet-Boudin (INSERM U815, Lille, France) for their helpful discussions and their expertise on the field of myotonic dystrophy disease; and Dr Delphine Laustriat, Dr Fabrice Casagrande, Julien Come, Pauline Georges, Jacqueline Gide and Rémi Vernet (UMR861, CES, I-Stem, Evry, France) for technical assistance.

Author contributions

J.A.D. designed and performed experiments and analyzed data; M.G., L.R. and S.A. contributed equally to this work; M.G. performed gain and loss of function experiments and L.R. and S.A. performed western blot analyses for mTOR signaling pathway; K.G.T, P.P., B.C., Y.M. and C.B. participated differentially to different technical aspects of this project; A.B. helped with the differentiation of neural stem cells from hESCs; R.S. and G.P. contributed to the design of the project; M.P. and C.M. supervised the project.

Funding

This work was supported by the Association Française contre les Myopathies, MediCen (IngeCell program); the European Commission (FP6, STEM-HD) [grant number LSHB-CT-2006-037349]; and Genopole.

Abe
K.
,
Fujimura
H.
,
Toyooka
K.
,
Yorifuji
S.
,
Nishikawa
Y.
,
Hazama
T.
,
Yanagihara
T.
(
1994
).
Involvement of the central nervous system in myotonic dystrophy.
J. Neurol. Sci.
127
,
179
185
.
Beffy
P.
,
Del Carratore
R.
,
Masini
M.
,
Furling
D.
,
Puymirat
J.
,
Masiello
P.
,
Simili
M.
(
2010
).
Altered signal transduction pathways and induction of autophagy in human myotonic dystrophy type 1 myoblasts.
Int. J. Biochem. Cell Biol.
42
,
1973
1983
.
Bigot
A.
,
Klein
A. F.
,
Gasnier
E.
,
Jacquemin
V.
,
Ravassard
P.
,
Butler-Browne
G.
,
Mouly
V.
,
Furling
D.
(
2009
).
Large CTG repeats trigger p16-dependent premature senescence in myotonic dystrophy type 1 muscle precursor cells.
Am J Pathol.
174
,
1435
1442
.
Chambers
S. M.
,
Fasano
C. A.
,
Papapetrou
E. P.
,
Tomishima
M.
,
Sadelain
M.
,
Studer
L.
(
2009
).
Highly efficient neural conversion of human ES and iPS cells by dual inhibition of SMAD signaling.
Nat. Biotechnol.
27
,
275
280
.
Charizanis
K.
,
Lee
K. Y.
,
Batra
R.
,
Goodwin
M.
,
Zhang
C.
,
Yuan
Y.
,
Shiue
L.
,
Cline
M.
,
Scotti
M. M.
,
Xia
G.
 et al. (
2012
).
Muscleblind-like 2-mediated alternative splicing in the developing brain and dysregulation in myotonic dystrophy.
Neuron
75
,
437
450
.
Dansithong
W.
,
Paul
S.
,
Comai
L.
,
Reddy
S.
(
2005
).
MBNL1 is the primary determinant of focus formation and aberrant insulin receptor splicing in DM1.
J. Biol. Chem.
280
,
5773
5780
.
de León
M. B.
,
Cisneros
B.
(
2008
).
Myotonic dystrophy 1 in the nervous system: from the clinic to molecular mechanisms.
J. Neurosci. Res.
86
,
18
26
.
Delaporte
C.
(
1998
).
Personality patterns in patients with myotonic dystrophy.
Arch. Neurol.
55
,
635
640
.
Ebert
A. D.
,
Yu
J.
,
Rose
F. F.
 Jr
,
Mattis
V. B.
,
Lorson
C. L.
,
Thomson
J. A.
,
Svendsen
C. N.
(
2009
).
Induced pluripotent stem cells from a spinal muscular atrophy patient.
Nature
457
,
277
280
.
Ebralidze
A.
,
Wang
Y.
,
Petkova
V.
,
Ebralidse
K.
,
Junghans
R. P.
(
2004
).
RNA leaching of transcription factors disrupts transcription in myotonic dystrophy.
Science
303
,
383
387
.
Eiges
R.
,
Urbach
A.
,
Malcov
M.
,
Frumkin
T.
,
Schwartz
T.
,
Amit
A.
,
Yaron
Y.
,
Eden
A.
,
Yanuka
O.
,
Benvenisty
N.
 et al. (
2007
).
Developmental study of fragile X syndrome using human embryonic stem cells derived from preimplantation genetically diagnosed embryos.
Cell Stem Cell
1
,
568
577
.
Fang
X.
,
Yu
S. X.
,
Lu
Y.
,
Bast
R. C.
 Jr
,
Woodgett
J. R.
,
Mills
G. B.
(
2000
).
Phosphorylation and inactivation of glycogen synthase kinase 3 by protein kinase A.
Proc. Natl. Acad. Sci. USA
97
,
11960
11965
.
Furling
D.
,
Coiffier
L.
,
Mouly
V.
,
Barbet
J. P.
,
St Guily
J. L.
,
Taneja
K.
,
Gourdon
G.
,
Junien
C.
,
Butler-Browne
G. S.
(
2001
).
Defective satellite cells in congenital myotonic dystrophy.
Hum. Mol. Genet.
10
,
2079
2087
.
Garelick
M. G.
,
Kennedy
B. K.
(
2011
).
TOR on the brain.
Exp. Gerontol.
46
,
155
163
.
Hernández-Hernández
O.
,
Bermúdez-de-León
M.
,
Gómez
P.
,
Velázquez-Bernardino
P.
,
García-Sierra
F.
,
Cisneros
B.
(
2006
).
Myotonic dystrophy expanded CUG repeats disturb the expression and phosphorylation of tau in PC12 cells.
J. Neurosci. Res.
84
,
841
851
.
Jastrzebski
K.
,
Hannan
K. M.
,
Tchoubrieva
E. B.
,
Hannan
R. D.
,
Pearson
R. B.
(
2007
).
Coordinate regulation of ribosome biogenesis and function by the ribosomal protein S6 kinase, a key mediator of mTOR function.
Growth Factors
25
,
209
226
.
Jiang
H.
,
Mankodi
A.
,
Swanson
M. S.
,
Moxley
R. T.
,
Thornton
C. A.
(
2004
).
Myotonic dystrophy type 1 is associated with nuclear foci of mutant RNA, sequestration of muscleblind proteins and deregulated alternative splicing in neurons.
Hum. Mol. Genet.
13
,
3079
3088
.
Kim
J. E.
,
O'Sullivan
M. L.
,
Sanchez
C. A.
,
Hwang
M.
,
Israel
M. A.
,
Brennand
K.
,
Deerinck
T. J.
,
Goldstein
L. S.
,
Gage
F. H.
,
Ellisman
M. H.
 et al. (
2011
).
Investigating synapse formation and function using human pluripotent stem cell-derived neurons.
Proc. Natl. Acad. Sci. USA
108
,
3005
3010
.
Klesert
T. R.
,
Cho
D. H.
,
Clark
J. I.
,
Maylie
J.
,
Adelman
J.
,
Snider
L.
,
Yuen
E. C.
,
Soriano
P.
,
Tapscott
S. J.
(
2000
).
Mice deficient in Six5 develop cataracts: implications for myotonic dystrophy.
Nat. Genet.
25
,
105
109
.
Lee
G.
,
Papapetrou
E. P.
,
Kim
H.
,
Chambers
S. M.
,
Tomishima
M. J.
,
Fasano
C. A.
,
Ganat
Y. M.
,
Menon
J.
,
Shimizu
F.
,
Viale
A.
 et al. (
2009
).
Modelling pathogenesis and treatment of familial dysautonomia using patient-specific iPSCs.
Nature
461
,
402
406
.
Llagostera
E.
,
Catalucci
D.
,
Marti
L.
,
Liesa
M.
,
Camps
M.
,
Ciaraldi
T. P.
,
Kondo
R.
,
Reddy
S.
,
Dillmann
W. H.
,
Palacin
M.
 et al. (
2007
).
Role of myotonic dystrophy protein kinase (DMPK) in glucose homeostasis and muscle insulin action.
PLoS ONE
2
,
e1134
.
Ma
Y.
,
Jin
J.
,
Dong
C.
,
Cheng
E. C.
,
Lin
H.
,
Huang
Y.
,
Qiu
C.
(
2010
).
High-efficiency siRNA-based gene knockdown in human embryonic stem cells.
RNA
16
,
2564
2569
.
Mahadevan
M.
,
Tsilfidis
C.
,
Sabourin
L.
,
Shutler
G.
,
Amemiya
C.
,
Jansen
G.
,
Neville
C.
,
Narang
M.
,
Barceló
J.
,
O'Hoy
K.
 et al. (
1992
).
Myotonic dystrophy mutation: an unstable CTG repeat in the 3′ untranslated region of the gene.
Science
255
,
1253
1255
.
Mankodi
A.
,
Urbinati
C. R.
,
Yuan
Q. P.
,
Moxley
R. T.
,
Sansone
V.
,
Krym
M.
,
Henderson
D.
,
Schalling
M.
,
Swanson
M. S.
,
Thornton
C. A.
(
2001
).
Muscleblind localizes to nuclear foci of aberrant RNA in myotonic dystrophy types 1 and 2.
Hum. Mol. Genet.
10
,
2165
2170
.
Mankodi
A.
,
Takahashi
M. P.
,
Jiang
H.
,
Beck
C. L.
,
Bowers
W. J.
,
Moxley
R. T.
,
Cannon
S. C.
,
Thornton
C. A.
(
2002
).
Expanded CUG repeats trigger aberrant splicing of ClC-1 chloride channel pre-mRNA and hyperexcitability of skeletal muscle in myotonic dystrophy.
Mol. Cell
10
,
35
44
.
Marteyn
A.
,
Maury
Y.
,
Gauthier
M. M.
,
Lecuyer
C.
,
Vernet
R.
,
Denis
J. A.
,
Pietu
G.
,
Peschanski
M.
,
Martinat
C.
(
2011
).
Mutant human embryonic stem cells reveal neurite and synapse formation defects in type 1 myotonic dystrophy.
Cell Stem Cell
8
,
434
444
.
Mateizel
I.
,
De Temmerman
N.
,
Ullmann
U.
,
Cauffman
G.
,
Sermon
K.
,
Van de Velde
H.
,
De Rycke
M.
,
Degreef
E.
,
Devroey
P.
,
Liebaers
I.
 et al. (
2006
).
Derivation of human embryonic stem cell lines from embryos obtained after IVF and after PGD for monogenic disorders.
Hum. Reprod.
21
,
503
511
.
Matynia
A.
,
Ng
C. H.
,
Dansithong
W.
,
Chiang
A.
,
Silva
A. J.
,
Reddy
S.
(
2010
).
Muscleblind1, but not Dmpk or Six5, contributes to a complex phenotype of muscular and motivational deficits in mouse models of myotonic dystrophy.
PLoS ONE
5
,
e9857
.
Maury
Y.
,
Gauthier
M.
,
Peschanski
M.
,
Martinat
C.
(
2011
).
[Human pluripotent stem cells: opening key for pathological modeling].
Med. Sci. (Paris)
27
,
443
446
.
Meola
G.
,
Sansone
V.
,
Perani
D.
,
Scarone
S.
,
Cappa
S.
,
Dragoni
C.
,
Cattaneo
E.
,
Cotelli
M.
,
Gobbo
C.
,
Fazio
F.
 et al. (
2003
).
Executive dysfunction and avoidant personality trait in myotonic dystrophy type 1 (DM-1) and in proximal myotonic myopathy (PROMM/DM-2).
Neuromuscul. Disord.
13
,
813
821
.
Minnerop
M.
,
Luders
E.
,
Specht
K.
,
Ruhlmann
J.
,
Schneider-Gold
C.
,
Schröder
R.
,
Thompson
P. M.
,
Toga
A. W.
,
Klockgether
T.
,
Kornblum
C.
(
2008
).
Grey and white matter loss along cerebral midline structures in myotonic dystrophy type 2.
J. Neurol.
255
,
1904
1909
.
Minnerop
M.
,
Weber
B.
,
Schoene-Bake
J. C.
,
Roeske
S.
,
Mirbach
S.
,
Anspach
C.
,
Schneider-Gold
C.
,
Betz
R. C.
,
Helmstaedter
C.
,
Tittgemeyer
M.
 et al. (
2011
).
The brain in myotonic dystrophy 1 and 2: evidence for a predominant white matter disease.
Brain
134
,
3530
3546
.
Modoni
A.
,
Silvestri
G.
,
Pomponi
M. G.
,
Mangiola
F.
,
Tonali
P. A.
,
Marra
C.
(
2004
).
Characterization of the pattern of cognitive impairment in myotonic dystrophy type 1.
Arch. Neurol.
61
,
1943
1947
.
Modoni
A.
,
Silvestri
G.
,
Vita
M. G.
,
Quaranta
D.
,
Tonali
P. A.
,
Marra
C.
(
2008
).
Cognitive impairment in myotonic dystrophy type 1 (DM1): a longitudinal follow-up study.
J. Neurol.
255
,
1737
1742
.
Perini
G. I.
,
Menegazzo
E.
,
Ermani
M.
,
Zara
M.
,
Gemma
A.
,
Ferruzza
E.
,
Gennarelli
M.
,
Angelini
C.
(
1999
).
Cognitive impairment and (CTG)n expansion in myotonic dystrophy patients.
Biol. Psychiatry
46
,
425
431
.
Ranum
L. P.
,
Cooper
T. A.
(
2006
).
RNA-mediated neuromuscular disorders.
Annu. Rev. Neurosci.
29
,
259
277
.
Reddy
S.
,
Smith
D. B.
,
Rich
M. M.
,
Leferovich
J. M.
,
Reilly
P.
,
Davis
B. M.
,
Tran
K.
,
Rayburn
H.
,
Bronson
R.
,
Cros
D.
 et al. (
1996
).
Mice lacking the myotonic dystrophy protein kinase develop a late onset progressive myopathy.
Nat. Genet.
13
,
325
335
.
Sarkar
P. S.
,
Appukuttan
B.
,
Han
J.
,
Ito
Y.
,
Ai
C.
,
Tsai
W.
,
Chai
Y.
,
Stout
J. T.
,
Reddy
S.
(
2000
).
Heterozygous loss of Six5 in mice is sufficient to cause ocular cataracts.
Nat. Genet.
25
,
110
114
.
Savkur
R. S.
,
Philips
A. V.
,
Cooper
T. A.
(
2001
).
Aberrant regulation of insulin receptor alternative splicing is associated with insulin resistance in myotonic dystrophy.
Nat. Genet.
29
,
40
47
.
Seibler
P.
,
Graziotto
J.
,
Jeong
H.
,
Simunovic
F.
,
Klein
C.
,
Krainc
D.
(
2011
).
Mitochondrial Parkin recruitment is impaired in neurons derived from mutant PINK1 induced pluripotent stem cells.
J. Neurosci.
31
,
5970
5976
.
Suenaga
K.
,
Lee
K. Y.
,
Nakamori
M.
,
Tatsumi
Y.
,
Takahashi
M. P.
,
Fujimura
H.
,
Jinnai
K.
,
Yoshikawa
H.
,
Du
H.
,
Ares
M.
 Jr
, et al.
(
2012
).
Muscleblind-like 1 knockout mice reveal novel splicing defects in the myotonic dystrophy brain.
PLoS ONE
7
,
e33218
.
Timchenko
L. T.
,
Caskey
C. T.
(
1996
).
Trinucleotide repeat disorders in humans: discussions of mechanisms and medical issues.
FASEB J.
10
,
1589
1597
.
Timchenko
N. A.
,
Cai
Z. J.
,
Welm
A. L.
,
Reddy
S.
,
Ashizawa
T.
,
Timchenko
L. T.
(
2001a
).
RNA CUG repeats sequester CUGBP1 and alter protein levels and activity of CUGBP1.
J. Biol. Chem.
276
,
7820
7826
.
Timchenko
N. A.
,
Iakova
P.
,
Cai
Z. J.
,
Smith
J. R.
,
Timchenko
L. T.
(
2001b
).
Molecular basis for impaired muscle differentiation in myotonic dystrophy.
Mol. Cell. Biol.
21
,
6927
6938
.
Timchenko
N. A.
,
Patel
R.
,
Iakova
P.
,
Cai
Z. J.
,
Quan
L.
,
Timchenko
L. T.
(
2004
).
Overexpression of CUG triplet repeat-binding protein, CUGBP1, in mice inhibits myogenesis.
J. Biol. Chem.
279
,
13129
13139
.
Turnpenny
P.
,
Clark
C.
,
Kelly
K.
(
1994
).
Intelligence quotient profile in myotonic dystrophy, intergenerational deficit, and correlation with CTG amplification.
J. Med. Genet.
31
,
300
305
.
Vigneron
F.
,
Dos Santos
P.
,
Lemoine
S.
,
Bonnet
M.
,
Tariosse
L.
,
Couffinhal
T.
,
Duplaà
C.
,
Jaspard-Vinassa
B.
(
2011
).
GSK-3β at the crossroads in the signalling of heart preconditioning: implication of mTOR and Wnt pathways.
Cardiovasc. Res.
90
,
49
56
.
Wang
E. T.
,
Cody
N. A.
,
Jog
S.
,
Biancolella
M.
,
Wang
T. T.
,
Treacy
D. J.
,
Luo
S.
,
Schroth
G. P.
,
Housman
D. E.
,
Reddy
S.
 et al. (
2012
).
Transcriptome-wide regulation of pre-mRNA splicing and mRNA localization by muscleblind proteins.
Cell
150
,
710
724
.
Weber
Y. G.
,
Roebling
R.
,
Kassubek
J.
,
Hoffmann
S.
,
Rosenbohm
A.
,
Wolf
M.
,
Steinbach
P.
,
Jurkat-Rott
K.
,
Walter
H.
,
Reske
S. N.
 et al. (
2010
).
Comparative analysis of brain structure, metabolism, and cognition in myotonic dystrophy 1 and 2.
Neurology
74
,
1108
1117
.
Yadava
R. S.
,
Frenzel-McCardell
C. D.
,
Yu
Q.
,
Srinivasan
V.
,
Tucker
A. L.
,
Puymirat
J.
,
Thornton
C. A.
,
Prall
O. W.
,
Harvey
R. P.
,
Mahadevan
M. S.
(
2008
).
RNA toxicity in myotonic muscular dystrophy induces NKX2-5 expression.
Nat. Genet.
40
,
61
68
.

Supplementary information