Abstract
Autism spectrum disorder (ASD) is an early-onset neurodevelopmental disorder characterized by deficits in social communication, and restricted and repetitive patterns of behavior. Despite its high prevalence, discovery of pathophysiological mechanisms underlying ASD has lagged due to a lack of appropriate model systems. Recent advances in induced pluripotent stem cell (iPSC) technology and neural differentiation techniques allow for detailed functional analyses of neurons generated from living individuals with ASD. Refinement of cortical neuron differentiation methods from iPSCs will enable mechanistic studies of specific neuronal subpopulations that may be preferentially impaired in ASD. In this review, we summarize recent accomplishments in differentiation of cortical neurons from human pluripotent stems cells and efforts to establish in vitro model systems to study ASD using personalized neurons.
Introduction
Autism spectrum disorder (ASD) is a debilitating neurodevelopmental disorder characterized by impaired communication and social interactions, as well as restricted interests and repetitive behaviors (Devlin and Scherer, ). Approximately 1/50 children in North America are diagnosed with ASD, typically by the age of 3 years (Blumberg et al., ). The severity of symptoms varies greatly and the prevalence of intellectual disability, epilepsy, attention deficit/hyperactivity disorder, and obsessive-compulsive disorder is markedly higher in people with ASD than in unaffected individuals (Huguet et al., ). Despite the complexity and heterogeneity of ASD, genetic studies, post-mortem brain analyses, and functional imaging studies have resulted in the widely accepted hypothesis the ASD arises from dysfunctional neuronal communication in the neocortex (Zikopoulos and Barbas, 2013).
ASD is primarily viewed as a genetic disorder, although the genetic underpinnings of ASD are complex. Family and twin studies have revealed that the heritability of ASD is as high as 90%, but causal genomic variations have only been identified in ~25% of cases. These have mostly consisted of relatively rare genetic variations, none of which account for more than ~1% of ASD cases (Devlin and Scherer, ). To date, several dozen high priority ASD candidate genes have been identified, many of which encode proteins that localize to synapses [e.g., SH3 and multiple ankyrin repeat domains (SHANK) 2, SHANK3, Neuroligin (NLGN)-1, NLGN-3, NLGN-4X, Neurexin (NRXN)-1, and NRXN-3] and regulate their development, maturation, and function (Zoghbi and Bear, 2012). ASD-associated genomic variations can occur de novo in affected individuals. In familial cases, these variants are often inherited from unaffected parents, suggesting either incomplete penetrance or modifier genes. For example, four autistic individuals with de novo SHANK2 mutations have additional genetic variations at ASD candidate loci, suggesting a “mutliple hit” model of ASD (Leblond et al., ; Chilian et al., ).
Mice engineered to encode human ASD-associated mutations often recapitulate behavioral hallmarks of the disorder and are readily amenable to experimental analyses (Silverman et al., 2010; Jiang and Ehlers, ). Many synapse-associated ASD candidate genes have been knocked-out in mice, revealing a wide range of synaptic phenotypes that may contribute to ASD. Nlgn-1 knockout mice exhibited altered excitatory synaptic transmission (Blundell et al., ) and knockdown results in decreased cortical synapse numbers (Kwon et al., ). Nrxn-1α knockouts exhibit reduced spontaneous excitatory synaptic activity, with no change in inhibitory synapse function (Etherton et al., ). Mice with the ASD-associated Nlgn-3 R451C mutation exhibit increased inhibitory neurotransmission in the cortex (Tabuchi et al., 2007; Etherton et al., ), but increased excitatory neurotransmission in the hippocampus (Etherton et al., ). Finally, knockouts of Shank2 and Shank3 support a role for SHANKs in excitatory synapse function, although distinct phenotypes were observed in different models (Durand et al., ; reviewed in Jiang and Ehlers, ). Unfortunately, mice with ASD-associated mutations rarely exhibit phenotypes unless these mutations are homozygous, which are exceptionally rare in people with ASD (Ey et al., ; Won et al., 2012). These findings suggest that heterozygous disruption of individual candidate genes may be necessary, but not sufficient for development of the disorder, and that other genetic variables may play a role (Huguet et al., ). An alternative explanation is that ASD candidate genes have slightly different functions in human neurons. Both of these limitations of mouse models can be overcome with the use of induced pluripotent stem (iPSC) technology, which allows the generation of personalized human neurons from people with ASD.
iPSCs represent an incredible new avenue for the modeling of ASD (Ross and Ellis, ). Donor-derived cells (e.g., dermal fibroblasts from a skin biopsy or peripheral blood mononuclear cells) are reprogrammed into iPSCs by forced expression of four pluripotency-associated transcription factors: OCT4, SOX2, KLF4, and c-MYC (Takahashi et al., 2007). Resultant iPSC lines exhibit functional properties of human embryonic stem cells (hESCs), including the ability to differentiate into any cell type in the human body. For experimental analyses, iPSCs provide an unlimited supply of ASD-specific neurons. To date, iPSC-derived neurons have been used to generate personalized neurons from individuals with neurodevelopmental disorders that include autistic features—RTT (Marchetto et al., ; Cheung et al., ), Timothy syndrome (TS) (Paşca et al., ), and Phelan McDermid syndrome (PMDS) (Shcheglovitov et al., 2013)—and have revealed disorder-specific neuronal phenotypes, including dysfunctional synaptic connectivity. However, this approach has yet to be applied to ASD as the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders excludes individuals with syndromic neurodevelopmental disorders from an ASD diagnosis (American Psychiatric Association, ). Although iPSC-derived neurons have been generated from people with ASD, no functional experiments were described (DeRosa et al., ). As such, the potential of iPSC technology has yet to be fully applied to modeling ASD, although many groups are actively pursuing this approach.
The generation of iPSCs has become commonplace. However, efficient differentiation of these cells into specific neuronal subtypes remains challenging. As discussed above, one of the prevailing hypotheses suggest that ASD arises due to dysfunctional synaptic communication in the neocortex. Successful generation of ASD-specific cortical neurons will improve our understanding of how ASD develops and may allow for identification of novel therapeutics. In this review, we discuss (1) recent advances in technology of cortical differentiation from human pluripotent stem cells (hPSCs) based on the knowledge of in vivo cortical development, (2) recent findings from human iPSC (hiPSC)-based models of RTT, TS, and PMDS, and (3) future directions for optimization of cortical differentiation and modeling of ASD, as well as potential applications of this exciting technology.
Development of the neocortex
A thorough understanding of neocortical development can inform methodology for cortical neuron differentiation from hPSCs and define neuronal characteristics that should be considered in validating the identity and functionality of resultant neurons. This is especially important for hPSC-based ASD modeling, as abnormal neocortical development has been directly associated with the etiology of some ASDs (Kwan, ). Thus, we first give an overview of neuronal composition in the neocortex and its origins, based on the studies of animal models.
The mammalian neocortex has a well-organized six-layered structure. Each cortical layer contains a characteristic distribution of neuronal cells with distinctive shape, size, and neurochemical and electrophysiological properties, which make local or long distance connections with other cortical region or subcortical compartments (Douglas and Martin, ; Migliore and Shepherd, ). Neurons in the neocortex can be broadly categorized into two types: excitatory projection neurons and inhibitory interneurons. Excitatory projection neurons, which comprise around 80% of the neocortical neuronal population, mainly originate from neuroepithelial cells of the germinal zone in the dorsal telencephalon (pallium) (Molyneaux et al., ). They have a characteristic pyramidal shape with a long apical dendrite, multiple basal dendritic branches with spines receiving signals from other neurons, and a long axon making synaptic connections via the excitatory neurotransmitter glutamate (Spruston, 2008). On the other hand, inhibitory interneurons develop and migrate from distinct progenitors of the germinal zone of the ventral telencephalon (subpallium), mostly from the medial ganglionic eminence (MGE) and caudal ganglionic eminence (CGE) (Wonders and Anderson, 2006). They make up the remaining 20% of cortical neurons and make local connections using the inhibitory neurotransmitter GABA. Inhibitory interneurons in the neocortex display an astonishing diversity with over 20 subtypes based on morphology, electrophysiological properties, and expression of calcium binding proteins and neuropeptides (Petilla Interneuron Nomenclature Group, ).
Development of neocortical excitatory neurons
In the widely accepted model of vertebrate neural induction, the first emerging neuroectodermal cells in the neural plate develop an anterior fate characterized by expression of transcription factors such as forkhead box G1 (Foxg1, also known as brain factor 1, Bf1) or orthodenticle homoebox 1/2 (Otx1/2) (Stern, 2001; Hébert and Fishell, ) (Figure 1A). As neural induction proceeds, the cells that position in relatively posterior regions are influenced by patterning factors, such as Wnts and retinoic acid (RA), and are subsequently reprogrammed to a caudal fate. In contrast, the cells in the anterior part of neural plate are less influenced by caudalizing factors due to the endogenous expression of their antagonists [e.g., Dickkopf-related protein 1 (DKK1, a Wnt signal antagonist)], and maintain the acquired anterior character (Glinka et al., ; Wilson and Houart, 2004). Once the neural tube forms, the most anterior region rapidly expands to form the telencephalon, which is divided into two distinctive regions, the dorsal telencephalon and the ventral telencephalon by gradients of dorso-ventral patterning factors (Wilson and Rubenstein, 2000).
Figure 1
The pallial neural progenitors, the main source of neocortical projection neurons, are developed under the influence of Wnt and BMP signaling. They can be defined by the expression of a set of transcription factors, which includes Foxg1, paired box 6 (Pax6), empty spiracles homolog 1/2 (Emx1/2) in mice (Figures 1A,B) (Molyneaux et al.,
Once neurogenesis begins, neuroepithelial cells in the dorsal telencephalon acquire features of neural stem cells known as radial glial cells (RGCs). Through asymmetric cell division, RGCs give rise to (1) self-renewed RGCs that remain in the ventricular zone (VZ) throughout corticogenesis, and (2) committed daughter cells that can migrate out (Kriegstein and Alvarez-Buylla,
In general, early-born projection neurons migrate out from the proliferative area settling in the deep layer first, and later-born projection neurons migrate beyond those in deeper layers to reach the upper layers. Such “inside-out” patterning of post-mitotic neurons in a spatio-temporally controlled manner accounts for the well-organized layered structure of neocortex (Rash and Grove,
Development of neocortical gabaergic interneuron
Unlike excitatory projection neurons, neocortical inhibitory neurons arise from progenitors in the subpallial region, where cells are under the influence of SHH. Progenitors in the MGE are characterized by expression of Nkx2 homeobox 1 (Nkx2.1, also known as thyroid transcription factor 1, TTF-1) (Figure 1B) and Foxg1, which are both regulated by SHH (Sussel et al., 1999; Gulacsi and Anderson,
A remarkable feature in the development of neocortical interneurons is that they—unlike projection neurons—undergo tangential migration from their place of origin to their cortical destination. Several genetic studies in humans and mice have implicated dysfunctional development or migration of GABAergic interneurons with many psychiatric and neurodevelopmental disorders (Powell et al.,
Current progress in cortical neuron derivation from hPSCs
Impairment of proper development and migration of both excitatory projection neurons and inhibitory interneurons in the neocortex contributes to neurodevelopmental disorders. Therefore, the ability to generate those neurons from hPSCs is a powerful approach for assessing their molecular and cellular phenotypes and essential mechanisms underlying disease onset. Currently, most protocols for cortical differentiation from hPSCs are based on a few core methods that were developed using hESCs (Table 1). Understanding how these methods work and the basic characteristics of neural progenitors they generate is critical for developing novel protocols for differentiation of specific subtypes of cortical neurons. Thus, we first introduce several methods that are most frequently used to generate neural progenitors from hPSCs. After that, we discuss recent accomplishments in differentiation of cortical excitatory projection and inhibitory neurons from hPSCs (summarized in Figure 1C).
Table 1
| Culture method | Strategy for neural differentiation | Regional identity of neural progenitors | Advantage | References | |
|---|---|---|---|---|---|
| EB formation-neural rosette isolation method | EB formation by lifting hPSC colonies and following adherent culture of EBs | Induction and isolation of neural rosettes without morphogens | Dorsal telen-diencephalon (PAX6+, OTX2+, FOXG1+) | Highly reproducible across many hPSC lines | Zhang et al., 2001; Pankratz et al., |
| Dual-SMAD inhibition method | Adherent monolayer culture of dissociated hPSCs | Inhibition of BMP/ Nodal signals | Dorsal telen-diencephalon (PAX6+, OTX2+, FOXG1+) | Highly rapid and efficient | Chambers et al., |
| SFEBq method | EB formation by re-aggregation of dissociated hPSCs | Inhibition of WNT/BMP/Nodal signals | Dorsal telencephalon (FOXG1+, EMX1+) | Suitable for cortical differentiation | Watanabe et al., 2005; Eiraku et al., |
Comparison among common methods for neural differentiation of hPSCs.
Neural differentiation from hPSCs
Zhang and colleagues published the first report on neural differentiation from human ESCs (Zhang et al., 2001). In their study, embryoid bodies (EBs) are generated by lifting hESC colonies and cultured in suspension devoid of mitogens for a short period of time. Next the EBs are grown in adherent culture in defined media containing N2 supplement and basic fibroblast growth factor (bFGF) and allowed to form “neural rosettes.” This unique cellular arrangement of epithelial cells is reminiscent of cross sections of the developing neural tube and is now considered a hallmark of successful neural induction. These cells extensively express many neural stem cell markers such as Nestin, Musashi-1, and polysialylated-neuronal cell adhesion molecule, vigorously proliferating in the presence of bFGF after enzymatic isolation, and generate neurons, astrocytes, and oligodendrocytes both in vitro and in vivo (Zhang et al., 2001). In a subsequent study, Zhang's group found that neural progenitors generated in this manner mainly exhibit the anterior identity even though no regional cues were used throughout the differentiation (Pankratz et al.,
Another EB-like structure-based neural differentiation method was published by Sasai's group. Their first study described a serum-free EB-like protocol (which they called SFEB) to generate neurons from mouse ESCs (mESCs). Quantitative analysis revealed that around 80% of total cells were Sox1-positive neural lineage in 5 days. Substantial numbers of cells derived by SFEB culture express forebrain markers such as Foxg1 and Otx2, although this number was still low (~20% of total cells) compared to the number in hESC differentiation (Watanabe et al., 2005; Pankratz et al.,
Another approach that has been used to induce neural progenitors from ESCs was co-culturing with mouse stromal feeder cells that are known to have neural inducing activity (Kawasaki et al.,
Recently, Studer's group reported a remarkably simple and robust method for neural induction of hESCs (Chambers et al.,
Given that hESC-derived neural progenitors from different research groups exhibit regional identity of the dorsal telencephalon, hPSCs are likely to have an innate program for differentiation into neural cells found in this brain region regardless of method (Pankratz et al.,
Generation of excitatory projection neurons from hPSCs
Sasai's group pioneered directed cortical differentiation from both mouse and human ESC by SFEB method and regional patterning. They optimized the previous SFEB method by allowing a defined number of cells to re-aggregate quickly in round-bottom 96-well plates under the influence of several regionalizing factors (referred to as the SFEBq method). This remarkably improved the differentiation efficiency of mESCs to dorsal telencephalic neural precursors, evidenced by expression of Foxg1 (~65–75% of total cells) and Emx1 (~89% of Foxg1-positive cells) (Eiraku et al.,
Upon further refinement, SFEBq approaches have been successfully applied to hPSCs. Vaccarino and colleagues reproduced this approach by generating hiPSC-derived multilayered cortical structures, which predominantly exhibited the gene expression profile of dorsal telencephalon (Mariani et al.,
In contrast to the three-dimensional differentiation system, the adherent monolayer-differentiation system may provide a more feasible tool to examine morphology and synaptic connectivity, which are of interest as the main cellular phenotype of ASD neurons. It can also be scaled-up for drug screening platforms. Livesey and colleagues described a defined cortical differentiation condition by employing the monolayer culture and dual-SMAD inhibition (Shi et al., 2012). Interestingly, they found that RA was an essential factor for robust differentiation of cortical progenitors with PAX6 and OTX1/2-immunoreactivity. Cortical progenitors generated by their method displayed neural rosette structures with the apico-basal polarity and characteristic interkinetic nuclear migration during cell division. More importantly, this method recapitulated complex human progenitor populations including intermediate progenitors and oRGCs with unipolar basal processes, as seen in the developing human brain. In addition, birth-dating analysis using BrdU labeling revealed the appearance of both deep-layer and upper-layer cortical neurons in a temporal manner, paralleling in vivo corticogenesis over 90 days of neuronal maturation (Shi et al., 2012). With this protocol, the same group generated cortical neurons derived from Down syndrome (DS)-specific iPSCs. These neurons exhibited pathological features of early-onset Alzheimer's disease seen in DS patients, demonstrating the applicability of this protocol for modeling cortical disease (Shi et al., 2013). Although the role of RA as a modulator for cortical differentiation needs further mechanistic characterization, this study was the first to recapitulate the diversity of cortical progenitors and generation of cortical subtypes from hPSCs in a temporally-controlled manner.
There have also been attempts to obtain cortical projection neurons by inhibiting cellular signal(s) that drive alternative fates. Since the cerebral cortex develops in the dorsal telencephalic region of the embryonic brain, blockade of intrinsic ventralizing and/or caudalizing signals during neural induction of ESCs may lead to neural precursors with dorsal telencephalic fate. Vanderhaeghen's group was the first to test this hypothesis in mESCs (Gaspard et al.,
Unlike those in the mESC system, neural progenitors derived from hESCs tend to retain dorsal telencephalic fate in many cases, as discussed above. The difference in dorso-ventral patterning between these systems may be explained by distinctive intracellular programming. While endogenous Shh signal dominates during early neural induction of mESCs (Gaspard et al.,
Ghosh and colleagues suggested a procedure for efficient differentiation of forebrain-type neurons via aggregate formation in multi-well plates in the presence of Noggin (Kim et al.,
In recent years, several studies have provided multiple methods for generating cortical excitatory neurons from hPSCs that recapitulate in vivo corticogenesis and even human-specific features not seen in animal models. Although in vitro modeling ASD using cortical differentiation technology is still in its infancy, it is becoming clear that the current accomplishments already provide robust models for investigating cellular phenotypes that are directly relevant to ASD pathophysiology.
Differentiation of neocortical inhibitory neurons from hPSCs
In recent years, many studies of autistic people and ASD animal models have strongly implicated dysfunction of the GABAergic system in the pathophysiology of ASD (reviewed by Chattopadhyaya and Cristo,
Zhang and colleagues obtained human neuroepithelial cells predominantly expressing PAX6 around 8–15 days of neural induction. This was achieved using the EB formation-neural rosette isolation method without exogenous morphogens, which exploits the default telencephalic specification of hESCs (Liu et al.,
Two different groups sought a direct way to pattern hPSC-derived neural precursors into cortical GABAergic interneurons. Specifically, they directed telencephalic fate prior to subsequent ventralization for differentiation, instead of depending on spontaneous telencephalic specification. Studer and colleagues described a robust pharmacological method that allows efficient modulation of signals implicated in neural patterning. In particular, they inhibited endogenous Wnt signaling to facilitate telencephalic differentiation (Maroof et al.,
Kriegstein and colleagues took a similar approach to enrich for neural progenitors with a telencephalic ventral fate from hPSCs (Nicholas et al.,
Recently, another approach was developed for generation of cortical interneurons from the CGE. In contrast to STT and PV-expressing GABAergic neurons, which mostly originate from the MGE, the developmental mechanism of calreticulin (CR)-type interneurons that arise mostly in the CGE was not well-known. Rodríguez and colleagues illustrated that activation of Activin signaling facilitated the induction of CGE identity during neural differentiation of mouse and human ESCs, and enriched for CR-expressing GABAergic neurons (Cambray et al.,
Despite differences in the details of differentiation methods, the studies described above showed that strong SHH signaling promotes the ventralization of telencephalic progenitors and generates MGE-like neocortical GABAergic interneurons (Sousa and Fishell, 2010). More importantly, each approach presented not only efficient methodologies for generating neocortical GABAergic interneurons, but also provided new insights into developmental mechanisms of these cells, which not been observed in previous mouse studies. Thus, current advances in the development of neocortical interneurons from hPSCs are promising for elucidating the role of inhibitory interneurons in the etiology of ASD.
Deriving neurons from hPSCs to model neurodevelopmental disorders
Several research groups have recently used hPSCs to model neurodevelopmental disorders that include autistic features, such as Rett syndrome (RTT) (Marchetto et al.,
Table 2
| Disorder (Genetic defects) | Differentiation method | Regional induction | Neuronal subtype | Neural phenotypes | Cellular phenotypes of mutant neurons | References |
|---|---|---|---|---|---|---|
| RTT (MeCP2) | NPCs: EB formation-neural rosette isolation method Neurons*: Culturing EBs (without RA for 1 week and with RA for following 3 weeks) and plating them after dissociation | N/A | Excitatory neuron | TUJ1, MAP2, VGLUT1, | Fewer synapses, Reduced spine density, Smaller soma size, Altered calcium signal, Electrophysiological defect Reduced synaptic density was restored by treatment of IGF1 or gentamycin | Marchetto et al., |
| RTT (MeCP2) | EB formation-neural rosette isolation method | N/A | N/D | MAP2 | Smaller soma size | Cheung et al., |
| RTT (MeCP2) | EB formation-neural rosette isolation method | N/A | N/D | Nestin, TUJ1 | Defect in neuronal maturation | Kim et al., |
| RTT (MeCP2) | EB formation-neural rosette isolation method | N/A | N/D | TUJ1 | Smaller nuclear size | Ananiev et al., |
| Atypical RTT (CDKL5) | EB formation-neural rosette isolation method | N/A | Cortical excitatory neurons | TUJ1, MAP2, VGLUT1, CTIP2 | Reduced number of synaptic puncta Lengthy spine protrusion | Ricciardi et al., |
| RTT (MeCP2†) | Dual-SMAD inhibition in adherent culture | N/A | Excitatory neurons | MAP2, TUJ1, VGLUT1 | Smaller soma/nuclear size Reduced dendritic complexity, Electrophysiological deficits Global reduction in transcription Impaired AKT/mTOR activity Mitochondria deficit | Li et al., |
| TS (CACNA1C) | EB formation-neural rosette isolation method | N/A | Cortical neurons | 46 neural/neuronal markers were assessed by Fluidigm array | Defects in calcium-channel function Altered activity-dependent gene-expression/dendritic retraction Abnormality of lower cortical layer and callosal projection differentiation Abnormal catecholaminergic differentiation | Paşca et al., |
| FXS (FMR1) | Manual isolation of neural rosette cells or isolation of PSA-NCAM-positive cells by MACS from the spontaneously differentiating iPSCs | N/A | N/D | TUJ1, GFAP | Fewer and shorter processes | Sheridan et al., 2011 |
| FXTAS (FMR1) | EB formation-neural rosette isolation method accompanied by dual-SMAD inhibition | N/A | Excitatory neurons | MAP2, VGLUT1, | Shorter neurite length Fewer PSD95-positive synaptic puncta Sustained calcium response after glutamate application | Liu et al., |
| AS (deletion in maternal chromosome 15q11-q13) PWS (deletion in paternal chromosome 15q11-q13) | EB formation-neural rosette isolation method | N/A | N/D | TUJ1 | Phenotypic impairment was not specified | Chamberlain et al., |
| PWS (translocation in maternal 15q11 and 4q27) | EB formation-neural rosette isolation method | N/A | N/D | MAP2, TUJ1 | Phenotypic impairment was not specified | Yang et al., 2010 |
| ASD (NRXN1)‡ | EB formation-neural rosette isolation method | N/A | N/D | TUJ1, GFAP, and Global transcript-tome alteration was monitored by RNA-seq and Q-PCR | Reduced glial differentiation Altered gene expression related to cell adhesion and neuron differentiation | Zeng et al., 2013 |
| PMDS (deletion in chromosome 22q13) | Dual-SMAD inhibition in adherent culture | Dorsal forebrain | Cortical neurons (both excitatory and inhibitory neurons) | MAP2, CaMKIIa, TBR1, CTIP2, SATB2, GAD67, and 66 sets of neural/neuronal marker expression were assessed by Fluidigm array | Impaired excitatory (both AMPA and NMDA-mediated) but not inhibitory synaptic transmission mainly due to loss of function of SHANK3 Reintroduction of SHANK3 and IGF1 application restore excitatory synaptic transmission | Shcheglovitov et al., 2013 |
A summary of neural differentiation methods and cellular phenotypes in current iPSC models for ASD-related syndromes.
In this study, the authors used different methods to derive NPCs and neurons, respectively.
This study used genetically modified hESCs by deletion of exon 3 in the MECP2 locus by TALEN-mediated targeting.
Abbreviations: NPC, neural progenitor cells; EBs, embryoid bodies; N/A, not applicable; N/D, not defined; VGLUT1, vesicular glutamate transporter1; MAP2, microtubule-associated protein2; IGF1, insulin-like growth factor1, TUJ1, neuron-specific class III β-tubulin; mTOR, mammalian target of rapamycin; MACS, magnetic-activated cell sorting; GFAP, glial fibrillary acidic protein, CaMKIIa, calcium/calmodulin-dependent protein kinase IIa; GAD67, glutamic acid decarboxylase 67; TBR1; T-box brain 1; CTIP2, COUP-TF interacting protein2; SATB2, special AT-rich sequence-binding protein2; AMPA, α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid; NMDA, N-methyl-D-aspartic acid.
Small-hairpin RNA was used for knocking-down NRXN1 in hiPSC-derived neural stem cells.
RTT is a severe neurodevelopmental disorder caused primarily by mutations in the X-linked gene MECP2 (Methyl CpG-binding protein 2) (Chahrour and Zoghbi,
More recently, Jaenisch and colleagues established hESC lines with MECP2 mutations using TALEN-mediated gene editing. By comparing mutant neurons to isogenic neurons from the parental hESCs, they investigated key molecular and cellular features of RTT (Li et al.,
Individuals with mutation of the cyclin-dependent kinase-like 5 (CDKL5) gene present with clinical features similar to RTT (Tao et al., 2004; Weaving et al., 2004). However, the mechanism underlying RTT-like symptoms caused by CDKL5 mutations is largely unknown. Broccoli and colleagues addressed the function of Cdkl5 in mouse hippocampal neurons by short-hairpin RNA-mediated knock-down of Cdkl5. These experiments showed that this Cdkl5 is essential for proper dendritic spine structure and for activity of excitatory synapses by stimulating the phosphorylation-dependent interaction between NGL-1 (netrin-G1 ligand) and PSD95 (Ricciardi et al.,
Many individuals with TS, caused by mutations in the L-type calcium channel CACNA1C gene, display features of ASDs (Splawski et al., 2004). Recently, Dolmetsch and colleagues established iPSC lines from individuals with TS and explored potential abnormalities in neuronal development or function (Paşca et al.,
Fragile X syndrome (FXS) is the most commonly inherited mental impairment, and is caused by expansion of CGG-repeats in the 5′ untranslated region of the fragile X mental retardation 1 (FMR1) gene, which leads to silencing of FMR1 expression. While Benvenisty and colleagues were the first to report the establishment of iPSC lines from FXS patients (Urbach et al., 2010), the first phenotypes of neurons derived from FXS-iPSCs were reported by Haggarty and colleagues, who showed that FXS-iPSCs preferentially generated Tuj1-positive neurons with shorter and fewer processes and more compact astrocytes (Sheridan et al., 2011). More recently, Hagerman and colleagues established isogenic pairs of iPSC lines from individuals with the related disorder fragile X-associated tremor ataxia syndrome (FXTAS) (Liu et al.,
AS and PWS are neurogenetic disorders caused by disruption of genes in imprinted regions of chromosome 15q11-13 (Ramocki and Zoghbi,
Studies of hPSCs have also examined the function of ASD candidate genes. Wang and colleagues recently addressed the functional role of NRXN-1, a presynaptic protein of which mutation is highly associated with ASD pathogenesis, during the neurodevelopment of hPSC by functional knockdown. This study showed that reduction of NRXN-1 expression in hPSC-derived neural stem cells alters expression of many genes for the cell adhesion pathway (20 genes) and neuronal differentiation pathway (13 genes) with impairment of astrocyte differentiation, suggesting its functional impact on human neurodevelopment (Zeng et al., 2013). Dolmetsch and colleagues recently reported in vitro modeling of a rare neurodevelopmental disorder, Phelan-McDermid syndrome (PMDS), by generating iPSC lines from individual with heterozygous deletion of chromosomal locus 22q13.3 (Shcheglovitov et al., 2013). This locus includes the SHANK3 gene, which is also mutated in ASD (Durand et al.,
These early studies highlight the remarkable promise of using personalized stem cell-derived neurons to investigate mechanisms underlying ASD pathophysiology. Even without aiming to generate specific neuronal subtypes, these experiments demonstrated deficits in neuronal specification (Paşca et al.,
To date, most iPSC-based studies of neurodevelopmental disorders have been restricted to recapitulating the cellular phenotypes that were previously observed in animal models and postmortem examinations. To inform iPSC-based disease modeling, studies should aim to complement and extend this knowledge. A recent transcriptome analysis of postmortem brain tissues between individuals with ASD and control individuals identified 444 differentially expressed genes, and revealed the alteration of two distinct gene-expression modules related to synaptic communication and immune induction (Voineagu et al., 2011). Given that these features were observed in the postmortem brain, comparative transcriptomic analyses between neurons derived from ASD-iPSCs and control-iPSCs could highlight difference in gene expression during the development and progression of disease. To complement transcriptome-wide studies, comparative analyses of protein-protein interactions (the protein interactome) between ASD and control neurons may reveal alterations in normal cellular mechanisms. Considering the heterogeneity in ASD presentation and the underlying genetic lesions, multifaceted approaches with customized neurons will greatly improve our understanding of molecular mechanisms of ASD. By identifying the mechanistic pathways involved in ASD pathophysiology, with time, the data may converge on a unified mechanistic model for ASD, facilitating development of therapeutic interventions (Casci,
Future directions
Over the last decade great progress has been made in establishing methods for generation of cortical projection neurons or inhibitory interneurons from hPSCs, but many challenges remain. Methods for the generation of layer- or subregion-specific cortical neurons from hPSCs would be beneficial for studies of ASD pathophysiology. Impairment of specific cortico-striatal (CStr) connectivity has been implicated in ASD, and many ASD-associated genes are involved in CStr synapses (reviewed by Shepherd, 2013). A recent study also showed that differences in gene expression between the frontal and temporal cortices in the normal brain are significantly attenuated in the autistic brain, which implies altered cortical patterning (Voineagu et al., 2011). This finding supports the notion that layer- or subregion-specific neuronal subtypes would be tremendously valuable for in vitro modeling of ASD. Although a direct method for layer- or sub-regional specific cortical neurons from hPSCs has not been developed yet, accumulating evidence from studies on mESC differentiation and mouse development suggest possible approaches for achieving this goal (Eiraku et al.,
Differentiation of functionally mature neurons from hPSCs is a long process with multiple steps requiring a few months. This may increase heterogeneity of the final neuronal population, even if the protocol was intended to enrich for a specific neuronal subtype. One way to overcome these difficulties is to convert patient-derived somatic cells directly into neurons, skipping cellular reprogramming and differentiation. A recently introduced method for direct conversion of fibroblasts to functional cortical neurons relies on forced expression of neural-lineage specific transcription factors (Vierbuchen et al., 2010; Pang et al.,
Significant line-to-line variability has been observed in the neuronal differentiation of hPSCs (Wu et al., 2007; Hu et al.,
Finally, neuronal differentiation in vitro may not fully recapitulate neuronal development as it happens in vivo. Proliferation and differentiation of cortical progenitors occurs within specific niche environments characterized by signaling from the VZ, differentiated daughter cells, as well as signaling from non-neural sources, such as astrocytes, blood vessels, meninges (reviewed by Johansson et al.,
Conclusion
With rapid progress in our ability to precisely manipulate hiPSCs, the tremendous knowledge gap between ASD genetics and our understanding of its pathophysiology is beginning to close. Using iPSC technology, it is possible to generate limitless supplies of human ASD-specific cortical neurons, which can revolutionize experimental analyses of ASD. Already, studies of the neurodevelopmental disorders RTT, TS, AS, and PMDS have shown that neuronal phenotypes can be identified using iPSC-derived neurons, and that these phenotypes can be corrected. Given the genetic heterogeneity of idiopathic ASD and the diversity in its clinical presentation, robust and highly reproducible methods for hiPSC manipulation is essential for linking genotype to phenotype. With the advent of facile mammalian genome engineering methods (reviewed in Hsu and Zhang,
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Statements
Acknowledgments
The authors thank Wesley Lai and Ugljesa Djuric for comments on the manuscript. This work was supported by grants from the Canadian Institutes of Health Research (EPS-129129), the Ontario Brain Institute, Canadian Institute for Military and Veteran Health Research (W7714-125624/001/SV), and the National Institutes of Health (R33MH087908). Dae-Sung Kim was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (#2012039296). P. Joel Ross was supported by postdoctoral fellowships from the Ontario Stem Cell Initiative and Kirill Zaslavsky was funded by the Canada Vanier Graduate Scholarship.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
human pluripotent stem cells, neural differentiation, neocortical neurons, disease modeling, autism spectrum disorders (ASD), cellular phenotype
Citation
Kim D-S, Ross PJ, Zaslavsky K and Ellis J (2014) Optimizing neuronal differentiation from induced pluripotent stem cells to model ASD. Front. Cell. Neurosci. 8:109. doi: 10.3389/fncel.2014.00109
Received
28 December 2013
Accepted
25 March 2014
Published
11 April 2014
Volume
8 - 2014
Edited by
Hansen Wang, University of Toronto, Canada
Reviewed by
Flora M. Vaccarino, Yale University School of Medicine, USA; Hansen Wang, University of Toronto, Canada; In-Hyun Park, Yale University, USA
Copyright
© 2014 Kim, Ross, Zaslavsky and Ellis.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: James Ellis, Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Room 16-9-715, 686 Bay Street, Toronto, ON M5G 0A4, Canada e-mail: jellis@sickkids.ca
This article was submitted to the journal Frontiers in Cellular Neuroscience.
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