Skip to main content
The Journal of Physiology logoLink to The Journal of Physiology
. 2015 Dec 30;594(22):6573–6582. doi: 10.1113/JP270660

Functional properties of in vitro excitatory cortical neurons derived from human pluripotent stem cells

Matthew R Livesey 1,2,, Dario Magnani 2,3,4, Giles E Hardingham 1,2, Siddharthan Chandran 2,3,4,5, David J A Wyllie 1,2,5,
PMCID: PMC5108911  PMID: 26608229

Abstract

The in vitro derivation of regionally defined human neuron types from patient‐derived stem cells is now established as a resource to investigate human development and disease. Characterization of such neurons initially focused on the expression of developmentally regulated transcription factors and neural markers, in conjunction with the development of protocols to direct and chart the fate of differentiated neurons. However, crucial to the understanding and exploitation of this technology is to determine the degree to which neurons recapitulate the key functional features exhibited by their native counterparts, essential for determining their usefulness in modelling human physiology and disease in vitro. Here, we review the emerging data concerning functional properties of human pluripotent stem cell‐derived excitatory cortical neurons, in the context of both maturation and regional specificity.

graphic file with name TJP-594-6573-g002.jpg


Abbreviations

AMPAR

AMPA receptor

GABAAR

GABA type‐A receptor

GlyR

strychnine‐sensitive glycine receptor

hPSC

human pluripotent stem cell

hPSCC neuron

hPSC‐derived excitatory cortical neuron

LGIC

ligand‐gated ion channel

NMDAR

NMDA receptor

Introduction

The human cerebral cortex controls higher cognitive abilities, including those that distinguish human beings from other mammalian species such as abstract thinking and complex language (Defelipe, 2011). This highly complex structure consists of several distinct areas that are responsible for processing and integrating different motor and sensory information and information stored in memory. Further functional and anatomical sophistication is reflected in the diversity and number of excitatory and inhibitory cell types, each characterized by distinct gene expression, morphology and functional properties (Molyneaux et al. 2007; Lui et al. 2011). The cortex is a target for many disorders of the brain at all stages of life. For example, perturbation of cortical development can lead to neurodevelopmental disorders, such as autism spectrum disorders, while the adult cortex is a major site for certain neurodegenerative conditions including Alzheimer's disease, frontotemporal dementia and Huntington's disease.

The majority of studies investigating cortical development and neuronal function have been based upon rodent models, but several aspects of the human cortex differ greatly from rodents including tangential expansion in the frontal cortex and gyrencephaly (Defelipe, 2011; Lui et al. 2011). Recently many laboratories have established in vitro protocols to derive excitatory pyramidal neurons, the principal neuronal type in the adult cortex, from human pluripotent stem cells (hPSCs) that provide powerful, readily accessible tools to model neuronal function in both healthy and disease contexts (Hansen et al. 2011; van den Ameele et al. 2014).

The ability of neurons derived from mouse and more recently from human stem cell lines to exhibit classical neuronal functional properties both in vitro and when integrated into host systems has been studied for many years (Benninger et al. 2003; Wernig et al. 2004). Increasing refinement and control in the derivation of neurons generated from embryonic or induced pluripotent stem cells (ESCs/iPSCs) now means it is possible to derive regionally specific neurons, including hPSC‐derived excitatory cortical neurons (hereafter termed ‘hPSCC neurons’). This raises the question as to the extent such cells are able to recapitulate known details of native cortical development and ultimately whether they are appropriate models of ‘diseases in a dish’ (Sandoe & Eggan, 2013). In addition to forming synaptic connections to generate the intricate circuitry responsible for complex cortical processes, native excitatory cortical neurons undergo distinctive developmental changes in ion channel expression and ionic gradients that determine their function within cortical networks (Moody & Bosma, 2005). This review will principally focus on the emerging data examining the functional capability of hPSCC neurons to exhibit known native‐like properties with regard to functional maturation and regional specification.

Summary of cortical development

The cerebral cortex organizes in a complex 3‐dimensional structure comprising several anatomically distinct cortical areas. Cortical regionalization within the developing telencephalon is determined by graded expression of transcription factors expressed by cortical progenitor cells, including Gli3, Emx2, Pax6, Sp8 and Coup‐TF1 (O'Leary et al. 2007). This, in turn, is established by three major telencephalic signalling centres: the cortical hem that secretes Wnt and bone morphogenetic protein, the anterior neural ridge that secretes Fgf8, and the ventral telencephalon that secretes sonic hedgehog (Shh). Once the major cortical axes have been established, cortical progenitor cells generate neurons through the process of cortical lamination in a time‐dependent manner (Gaspard & Vanderhaeghen, 2011). During this process, later‐born neurons migrate over the early‐born neurons within the cortical plate forming a layered structure in an inside‐out fashion. Therefore, the deepest cortical layer VI forms first and the upper layer II last; the marginal zone or layer I, containing reelin+ Cajal–Retzius cells, escapes this inside‐out process (Frotscher, 1998). The adult cortex has a structure made up of six defined layers (I–VI) of diverse excitatory cortical neuron types that can be identified by layer‐specific markers, including CUX1 (layer II/III), ROR‐β (layer IV), CTIP2 (layer V), SOX5 (layers V and VI) and TBR1 (layer VI) (Molyneaux et al. 2007).

The correct time‐dependent patterning of the telencephalon and the formation of different neuronal subtypes within the different layers are ultimately essential for the appropriate functional wiring of cortical neurons with other cortical or subcortical targets (Germain et al. 2013). While neocortical excitatory pyramidal neurons form from distinct populations of cortical progenitor cells within the embryonic dorsal telencephalon, the majority of inhibitory interneurons originate in the ventral telencephalon and subsequently tangentially migrate into the developing cortex (Hansen et al. 2013).

Specification of in vitro hPSCC cultures

In vitro‐derived cortical progenitor cells giving rise to hPSCC neurons can be formed from the spontaneous neuralization of hPSCs (Eiraku et al. 2008; Li et al. 2009; Mariani et al. 2012; Shi et al. 2012) and neuralization can be accelerated by using inhibitors of Wnt and bone morphogenetic protein/NODAL signalling pathways (dual‐SMAD inhibition; Chambers et al. 2009). Moreover, the presence of Shh or Shh agonists can give rise to ventral telencephalic progenitors from which cortical interneurons can differentiate (Germain et al. 2013; Maroof et al. 2013). Furthermore, hPSC‐derived cortical progenitors generally acquire a caudal identity by default as shown by their pattern of projections when transplanted in mouse brains (Espuny‐Camacho et al. 2013), yet they can be patterned to different cortical regions and respond to signalling cues when treated with morphogen agonists (Eiraku et al. 2008; Espuny‐Camacho et al. 2013; Kadoshima et al. 2013). Moreover, whilst the temporal generation of neurons belonging to different layers is largely maintained in vitro and the presence of neurons belonging to all six layers has been reported, the contribution of each layer considerably varies depending on the method used (see van den Ameele et al. 2014).

In these respects, in vitro neuronal connections and circuitry will therefore be somewhat limited by the protocol to recapitulate cortical development in its cellular specification and organization, particularly in monolayer cultures. However, aspects of cortical cytoarchitecture are remarkably maintained in vitro, in particular in 3‐dimentional cultures that allow the radial localization of later‐born neurons above earlier‐born ones (Mariani et al. 2012; Lancaster et al. 2013; Paşca et al. 2015).

Transcriptome analyses of the sequential phases of in vitro hPSC‐derived corticogenesis in monolayer or 3‐D culture demonstrate the ability of these protocols to reproduce gene expression profiles in hPSCC neuron populations that are equivalent to early native human embryonic cortical development (Stein et al. 2014; Paşca et al. 2015). Importantly, the heterogeneity in the cellular specification of previously published protocols is also matched at the transcriptome level, where some protocols better recapitulate native development than others and, furthermore, have variable rates of hPSCC neuron maturation (Stein et al. 2014). These data, however, do not directly examine the functional capacity of hPSCC neurons. Many groups therefore apply patch‐clamp electrophysiology (and also live‐imaging) to assess directly the functional membrane properties of hPSCC neurons.

hPSCC neurons are functionally reminiscent of immature cortical neurons

Neurons are defined by their excitable plasma membrane properties, which rely on the development of ionic gradients and the expression of ion channels. Reports demonstrating the generation of hPSCC neurons have therefore focused upon basic intrinsic membrane properties and the ability of hPSCC neurons to generate action potentials. Data indicate that intrinsic and action potential firing properties of hPSCC neurons are broadly comparable to rodent cortical neurons at an embryonic/early postnatal stage of development (Johnson et al. 2007; Kim et al. 2011; Espuny‐Camacho et al. 2013; Bilican et al. 2014). Indeed, the majority of studies of hPSC‐derived neurons which have recorded electrophysiological properties consistently report input resistances that are 5‐ to 20‐fold higher than their adult, mature in vivo counterparts (Johnson et al. 2007; Kim et al. 2011; Espuny‐Camacho et al. 2013; Bilican et al. 2014). This is also true for hPSC‐derived neurons cultured for extended periods. Thus, hPSC‐derived neurons typically require only modest current injection to elicit action potential firing. hPSCC neurons that show increases in excitability over time also demonstrate maturation in their expression of intrinsic membrane conductances that collectively define the nature of neuronal excitability (Johnson et al. 2007; Bilican et al. 2014). Additionally, interneuronal content is very low in some in vitro cultures (Shi et al. 2012; Bilican et al. 2014); however, many protocols do not report the extensiveness of interneuron differentiation in their cultures. It is important to note that interneuronal classes have highly variable mature firing properties (Markram et al. 2004) and as such this may be confused with firing patterns seen with immature excitatory neurons.

Studies have revealed that the resting membrane potential (RMP) of hPSCC neurons hyperpolarizes with extended culture periods (Johnson et al. 2007; Bilican et al. 2014). Nevertheless RMPs can remain relatively depolarized and as such this compromises their ability to display spontaneous (TTX‐sensitive) action potential firing which is considered critical to the development and maturation of the cortex (Spitzer, 2006). Indeed, Weick et al. (2009) demonstrated that TTX only weakly blocked spontaneous Ca2+ transients in hPSCC neuron cultures indicating that these transients were largely not mediated by spontaneous action potential activity. Careful pharmacological work in this study determined the source of Ca2+ to be mediated through L‐type voltage‐gated Ca2+ channels and transient receptor potential channels.

Ligand‐gated ion channels

Ligand‐gated ion channels (LGICs) are integral to the process of fast neurotransmitter signalling and their activities contribute to the fine balance of excitation and inhibition within the CNS. LGICs are multimeric protein complexes that can comprise numerous subunit combinations which impose distinct biophysical and pharmacological properties. LGIC subunit composition is often regulated both developmentally and spatially. Thus, the assessment of LGIC composition in hPSCC neurons is essential if we are to determine the extent to which these cells reflect native properties.

Ionotropic glutamate receptors

Ionotropic glutamate receptors are the central mediators of fast excitatory neurotransmission in the cortex and are a family of three tetrameric receptor types: AMPA, NMDA and kainate receptors (Traynelis et al. 2010). NMDA receptors (NMDARs) are composed of two ubiquitously expressed GluN1 subunits and two potential GluN2A, GluN2B, GluN2C, GluN2D and/or GluN3A, GluN3B subunits (Wyllie et al. 2013). Considerable evidence shows that NMDARs in embryonic mammalian cortical neurons contain predominantly GluN1 and GluN2B subunits while maturation is associated with a functional up‐regulation of GluN2A subunits (Wyllie et al. 2013). For rodents this is a postnatal event; however, determining this in humans has proved challenging (Henson et al. 2008). hPSCC neurons maintained in culture for 5 weeks express GluN1/GluN2B NMDARs as assessed by their sensitivity to the GluN2B‐selective antagonist ifenprodil and therefore an immature NMDAR profile (Livesey et al. 2013).

AMPA receptors (AMPARs) can be composed of GluA1, GluA2, GluA3 and GluA4 subunits of which the functional up‐regulation of the GluA2 subunit is associated with cortical neuronal maturation (Traynelis et al. 2010). Furthermore, GluA2 subunits predominantly undergo post‐transcriptional modification resulting in an arginine codon (GluA2(R)) replacing a glutamine codon (GluA2(Q)) in the M2 pore‐forming region of the channel. Therefore native cortical maturation is associated with a shift from GluA2(R)‐lacking to GluA2(R)‐containing AMPARs. Importantly, the presence of one or more GluA2(R) subunit in an AMPAR complex results in reduced single‐channel conductance, reduced sensitivity to channel‐blocking polyamines and, crucially, reduced Ca2+ permeability (Traynelis et al. 2010). Assessment of the functional AMPAR composition in hPSCC neurons using non‐stationary fluctuation analysis to estimate mean AMPAR single‐channel conductance and their sensitivity to a GluA2(R)‐lacking AMPAR channel blocker indicates an activity‐independent and native‐like maturation from GluA2(R)‐lacking to GluA2(R)‐containing AMPARs within 5 weeks of in vitro differentiation (Livesey et al. 2014). GluA2 transcript expression also increases with time in culture (Chander & Weick, 2014; Stein et al. 2014; van de Leemput et al. 2014). Thus AMPAR expression in hPSCC neurons appears to display properties that are observed in native mature neuronal populations (Isaac et al. 2007). Both NMDARs and AMPARs are expected to undergo maturational changes in composition in the early postnatal weeks of cortical development in rodents (Traynelis et al. 2010) and in this regard the ontogenetic development of AMPARs in hPSCC neurons is much more rapid than expected. Interestingly, the GluA2 subunit has been shown to be rapidly edited and functionally up‐regulated 4 weeks after the in vitro differentiation of neurons from primary human cortical progenitors (Whitney et al. 2008) in contrast to the expected longer in vivo developmental time scales (Talos et al. 2006).

These data suggest the rapid maturation of the AMPAR complex is a potential product of the in vitro environment. Nonetheless, this feature provides an opportunity to examine numerous scenarios in which abnormal regulation of the GluA2 subunit is hypothesized or prevalent in adult human disease (Wright & Vissel, 2012).

Ionotropic GABA and glycine receptors

GABAA receptors (GABAARs) and strychnine‐sensitive glycine receptors (GlyRs) are pentameric LGICs that primarily mediate fast inhibitory neurotransmission in the mature cortex. GABAARs can be potentially composed of 19 known subunits (α1–6, β1–3, γ1–3, δ, ε, π, θ and ρ1–3) giving a vast number of theoretical possible GABAAR arrangements. Whilst in reality composition is tightly regulated, the breadth of possible GABAAR composition generates considerable functional and pharmacological diversity across brain regions and cellular locations (Olsen & Sieghart, 2009). Using a pharmacological and RNA‐seq‐based approach hPSCC neurons differentiated for 5 weeks were shown to express GABAARs that had a predominant α2/3β3γ2 composition (James et al. 2014). This is the most common GABAAR combination present in the embryonic cortex (Olsen & Sieghart, 2009). Comparison of GABAAR subunit transcript levels in hPSCC neurons with data from human primary tissue indicates that overall GABAAR subunit expression is similar to that seen in the cortex at 12–21 weeks postconception. Again this is in broad agreement with other transcriptome‐based studies (Stein et al. 2014; Paşca et al. 2015). Finally, pharmacological assessment of GABAARs in hPSCC neurons is consistent with the absence of the α1‐subunit which is associated with more developmentally mature cortical neurons.

GlyRs are thought to play an important role in cortical development and transient functional GlyR expression is a feature of neocortical development in rodents (Flint et al. 1998; Avila et al. 2013). Indeed, hPSCC neurons respond robustly to glycine application (James et al. 2014). Pharmacological and RNA‐seq analysis of GlyRs indicates that the GlyR composition is principally α2/β‐containing (James et al. 2014). Transcript levels indicate a level of maturity equal to that of GABAARs; however, it is thought that the early mammalian embryonic GlyR composition consists of homomeric α2 GlyRs and matures to α1/β‐containing GlyRs (Lynch, 2009). Interestingly, a transient GlyR population of α2/β‐containing GlyRs has been observed in developing rodent Cajal–Retzius cells (Okabe et al. 2004). hPSCC neurons may prove useful in elucidating the role of GlyRs within the developing human cortex.

Intracellular chloride

GABAARs and GlyRs are permeable to Cl ions and mediate inhibitory responses in adult cortical neurons. However, the application of either GABA or glycine to embryonic excitatory cortical neurons generates depolarizing excitatory responses due to elevated levels of intracellular Cl (Ben‐Ari et al. 2007). The developmental reduction in intracellular Cl concentration is a crucial feature of cortical development and its perturbation is implicated in numerous disease mechanisms (Blaesse et al. 2009).

Intracellular Cl activity in hPSCC neurons (and neural precursor cells) measured using the perforated patch‐clamp technique falls from around 25 mm after 7 weeks in culture to <7 mm in hPSCC neurons (Livesey et al. 2014). Correspondingly, the expression of K+–Cl cotransporter‐2 (KCC2, responsible for Cl efflux) increases while that of the Na+–K+–Cl cotransporter‐1 (NKCC1, responsible for Cl influx) falls in hPSCC neurons, which is in agreement with native developmental mechanisms that regulate intracellular Cl activity (Ben‐Ari et al. 2007). In agreement with our data, Shcheglovitov et al. (2013) also report that application of GABA to hPSCC neurons generates hyperpolarizing currents consistent with a reduction in intracellular chloride activity. The time of this switch has been reported with high variability in the human cortex (Blaesse et al. 2009), though it is interesting that a population of Pax‐6+ neural precursors give rise to subplate neurons that highly express KCC2 by 16 weeks postconception (Bayatti et al. 2008) and that Livesey et al. (2014) studied hPSCC neurons from predominantly Pax‐6+ neural precursors. Livesey et al. (2014) also highlight that the use of neurotrophic media supplements influences the development of expression of Cl transporters and Cl activity. Although neurotrophic factors are added to promote synaptogenesis and/or increase responsiveness to neurotransmitters in pluripotent stem cell (PSC)‐derived neuronal cultures (Copi et al. 2005; Bardy et al. 2015), neurotrophic factors have an important role in the regulation of Cl transporter expression (Blaesse et al. 2009). Beyond pharmacological considerations regarding the use of chronic neurotrophic factor media supplements (Frank et al. 1996), the impact of neurotrophic factors on PSC‐derived neuronal physiology needs to be carefully considered.

Synaptic and network properties

In addition to harbouring excitable membranes, it is a defining feature of neurons to receive and generate synaptic signals. These exist in two general forms; phasic and tonic, and are both essential to the normal function of the CNS. The intricate and specific synaptic connectivity displayed by native cortical neurons is key to cortical network development and function (Spitzer, 2006). It is therefore critical to the development of in vitro hPSCC‐derived neurons to recapitulate native synaptic properties. The co‐localization of pre‐ and postsynaptic membrane‐associated scaffold proteins such as synaptophysin and PSD‐95, respectively, provide an indication of architectural synapse formation, but not functionality. Functional synaptic activity is generally detectable in standard cultures of in vitro hPSCC‐derived neurons where phasic ionotropic glutamatergic receptor‐ and GABAAR‐mediated activity has been observed. The latter property is determined by the culture protocol employed and its potential to generate GABA‐ergic interneurons. However, it is largely accepted that many standard in vitro hPSC protocols do not generate cultures that exhibit robust synaptic activity (Bardy et al. 2015). Studies examining synaptic properties therefore employ techniques to promote synaptic formation in their cultures.

Moreover, many groups now co‐culture hPSCC neurons with primary rodent astrocytes, which also promotes synaptic function (Johnson et al. 2007; Kim et al. 2011; Shcheglovitov et al. 2013; Wen et al. 2014; Pak et al. 2015). The analysis of the field‐evoked postsynaptic events in co‐cultured neurons demonstrates that glutamate activates both fast AMPAR‐mediated and slower GluN1/GluN2B‐like NMDAR‐mediated events in control neurons (Shcheglovitov et al. 2013). Interestingly in this study, cell lines lacking the postsynaptic density protein SHANK3, which is reduced in expression in a neurodevelopmental disorder (Phelan‐McDermid syndrome), exhibit evoked NMDAR‐mediated postsynaptic currents that have faster decay kinetics, which may be consistent with an NMDAR population expressing both GluN2A and GluN2B NMDAR subunits. Alternatively, presynaptic neurotransmitter‐release dysfunction has been modelled in hPSCC neurons derived from schizophrenia (mutant DISC1; Wen et al. 2014) and autism (mutant NRXN1; Pak et al. 2015) patients. Recently, Bardy et al. (2015) reported that relatively sparse synaptic activity observed in PSC‐derived neurons is due, in part, to the media in which the neurons are maintained. Their study utilized a culture medium that promoted synapse formation and concomitantly increased functional AMPAR‐mediated synaptic activity in PSC‐derived neurons co‐cultured with mouse astrocytes. Thus, hPSCC neurons can recapitulate synaptic activity and offer the exciting potential to study synaptic dysfunction to elucidate disease mechanisms. Table 1 describes reports of advanced culture techniques in order to study synaptic physiology.

Table 1.

Advanced culture techniques using hPSCC neurons (or other hPSC‐derived neurons) that promote functional synaptic formation and/or maturation

Physiological details measured
Approach Study Advanced protocol details from hPSCC neurons
Astrocyte co‐culture Johnson et al. 2007 Co‐culture with primary E14a mouse astrocytes. Accelerated initial functional synapse formation, but long‐term unaffected. Spontaneous postsynaptic currents blocked by AMPAR and GABAAR antagonists
Shcheglovitov et al. 2013 Co‐culture with primary rat cortical astrocytes. Spontaneous and evoked postsynaptic currents that consist of AMPAR, GABAAR and NMDAR components. Hyperpolarizing GABAAR responses. High R IN.
Wen et al. 2014 Co‐culture with primary rat astrocytes. Spontaneous postsynaptic currents. Neurotransmitter release investigated using FM1‐43 imaging.
Pak et al. 2015 Co‐culture with primary mouse astrocytes. Evoked AMPAR‐mediated postsynaptic currents. High R IN.
Neuron co‐culture Kim et al. 2011 Co‐culture with primary E18 rat cortical neurons (or with rat astrocytes). Spontaneous postsynaptic currents. High R IN, as indicated by low rheobase needed to elicit action potential firing.
Weick et al. 2011 Co‐culture with primary E16 rat cortical neurons. Neurons adopt bursting activity of mouse neurons. Light activation of channelrhodopsin‐transduced neurons induces AMPAR‐sensitive bursting in mouse neurons.
Advanced media composition + astrocyte co‐culture Bardy et al. 2015 Custom media formulation including media supplements. hPSC‐derived neurons co‐cultured with primary mouse astrocytes. Neurons maintained in new formulation exhibit increased frequency of AMPAR‐mediated postsynaptic currents, but not GABAAR‐mediated postsynaptic currents. High R IN.
3‐Dimensional culture Lancaster et al. 2013 ‘Cerebral organoid’ development. TTX‐sensitive spontaneous activity detected using Ca2+ imaging. Increase in Ca2+ detection upon application of glutamate.
Paşca et al. 2015 ‘Cortical spheroid’ development equivalent to 19–24 weeks fetal development. Spontaneous firing activity and evoked excitatory postsynaptic currents blocked by glutamate receptor antagonists. High R IN, as indicated by low rheobase needed to elicit action potential firing.
Integration Weick et al. 2011 Integration of hPSCC neurons into mouse (aged 2 months) hippocampus. Light activation of channelrhodopsin‐transduced neurons induces synaptic events in adjacent mouse neurons.
Espuny‐Camucho et al. 2013 Integration of hPSCC neurons into embryonic mouse cortex. Assessed 9 months post‐integration after key developmental period. Spontaneous firing activity and evoked postsynaptic currents that can be blocked by glutamate receptor antagonists. Low R IN.
a

E14, embryonic day 14. R IN, input resistance.

Similarly in in vitro cultures, reports of robust network activity have not yet been reported widely. A potential factor in the inability to observe synchronous multi‐neuronal firing in many cultures may be a consequence of the extent to which GABA‐ergic interneurons are present or absent in cultures. GABA‐ergic signalling is established before that of glutamatergic‐signalling in early development and is thought to initiate primitive neural network activity (Ben‐Ari et al. 2007). Indeed, inhibitory GABA‐ergic interneurons are essential for maintaining the balanced activity of cortical neural circuits. GABA‐ergic synaptic activity has been detected within hPSCC cultures in the form of spontaneous postsynaptic currents (Johnson et al. 2007; Wu et al. 2007; Shcheglovitov et al. 2013). However, a recent report has observed synchronized excitatory neurotransmitter‐driven network activity that resembles that of early‐stage cortical development and which occurs in cultures that contain a low percentage of interneurons and is insensitive to pharmacological blockade of GABAARs (Kirwan et al. 2015). A key study in the near future will therefore be the culture of defined mixtures of hPSCC neurons and defined populations of GABA‐ergic interneurons. Notably, it has been shown that hPSCC neurons can integrate into the network firing properties generated by primary mouse cells (Weick et al. 2011) and, furthermore, light‐stimulated hPSC‐derived neurons transduced with channelrhodopsin can influence the network activity of hippocampal organotypic slices (Piña‐Crespo et al. 2012).

Future challenges: making mature neurons

The capacity of hPSCC neurons to become physiologically relevant is their successful incorporation into a native system. As an initial step along this road Espuny‐Camucho et al. (2013) successfully demonstrated the differentiation and functional integration of hPSCC neurons into rodent cortex. Several months after transplantation into the developing cortex hPSCC neurons exhibited intrinsic membrane properties consistent with adult mature neurons, in contrast to the more immature properties of in vitro differentiated hPSCC neurons. hPSCC neurons incorporated into the rodent cortex also received synaptic inputs. Integration of hPSCC neurons expressing channelrhodopsin to the mouse hippocampal CA1 region has demonstrated the ability to generate light‐evoked postsynaptic currents in adjacent (untransfected) neurons (Weick et al. 2011). These data indicate the potential of such neurons to contribute to cortical network activity. Furthermore, it has been reported that hPSCC neurons integrated into a rat model of stroke promote functional recovery (Tornero et al. 2013). While there is clearly still much to learn with regard to in vivo functional integration, studies such as these give strong support to the notion that hPSCC neurons have the capacity to possess functionally mature phenotypes. Similarly, hPSCC‐derived ventral telencephalic interneurons develop mature intrinsic properties and receive synaptic input when integrated into the embryonic rodent cortex (Nicholas et al. 2013). Furthermore, this study indicates that interneuron maturation can be achieved with co‐culture in the presence of rodent glia and requires extended culture periods (>6 months). An equivalent study has not been performed for hPSCC excitatory neurons. These data indicate that in vitro hPSC‐derived neuron cultures lack important factors that are present in vivo and that are required for maturation.

Aside from their electrophysiological phenotype, hPSCC neurons need to display morphological characteristics typical of native cortical neurons. Dendritic spines form the principal location at which excitatory synaptic transmission and synaptic plasticity take place and, moreover, numerous neurological diseases are accompanied by spine number or size alterations (Bourne & Harris, 2008; Penzes et al. 2011). In this respect it is of significance that in vivo integrated hPSCC neurons do appear to develop spine‐like structures (Espuny‐Camucho et al. 2013), but dendritic spine structures with co‐localized expression of PSD‐95 are infrequent in in vitro hPSC‐derived neurons (Marchetto et al. 2010).

In conclusion, a major challenge is to generate neuronal populations that exhibit maturation profiles that more closely reflect those seen in vivo. Co‐culture with astrocytes and mixed neuronal populations, together with the maintenance of cells in media that promote increased synaptic activity, indicates that such strategies are required to assess synaptic transmission. When achieved, this will enhance and make more relevant our ability to study human physiology and pathophysiology using in vitro hPSCC neurons.

Additional information

Competing interests

None declared.

Funding

Aspects of work described in this review article were funded by The Wellcome Trust (Grant 092742/Z/10/Z to D.J.A.W., G.E.H. and S.C.), the Motor Neurone Disease Association (MNDA) (S.C.), the Euan MacDonald Centre (S.C.) the Medical Research Council (Grant to MR/J004367/1 to S.C.), NC3Rs (Grant CRACK IT to S.C.) and a Seedcorn grant from the Patrick Wild Centre/RS Macdonald Trust (D.J.A.W.). M.R.L. holds a Royal Society of Edinburgh Personal Research Fellowship funded by the Caledonian Research Fund.

Biographies

Matthew Livesey obtained his PhD in 2009 from the University of Dundee where he worked on structure–function studies of the 5HT3A ligand‐gated ion channel under the supervision of Professors John Peters and Jeremy Lambert. Since 2011 he has worked at the University of Edinburgh, first as a Wellcome Trust‐funded postdoctoral researcher and more recently as a Royal Society of Edinburgh Personal Research Fellow. His recent work has focused on the electrophysiological assessment of the functional properties of human neurons and glia derived from pluripotent stem cells.

graphic file with name TJP-594-6573-g001.gif

David Wyllie is Professor of Ion Channel Physiology and Pharmacology and Director of the Centre for Integrative Physiology at The University of Edinburgh. Current research in his lab includes the use of rodent models of monogenic causes of neurodevelopmental disorders to study the properties of altered synaptic function and to assess the extent to which pharmacological intervention can ameliorate the dysfunction that is observed in such models. This work is complemented by studies of defined neuronal and glial populations derived from human pluripotent stem cells and specifically those from individuals suffering from neurodevelopmental and neurodegenerative diseases.

This review was presented at the symposium “Are stem cell‐derived neural cells physiologically credible?”, which took place at Physiology 2015 in Cardiff, UK, 6–8 July 2015.

Contributor Information

Matthew R. Livesey, Email: mlivesey@staffmail.ed.ac.uk

David J. A. Wyllie, Email: david.j.a.wyllie@ed.ac.uk

References

  1. Avila A, Nguyen L & Rigo JM (2013). Glycine receptors and brain development. Front Cell Neurosci 7, 184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Bardy C, van den Hurk M, Eames T, Marchand C, Hernandez RV, Kellogg M, Gorris M, Galet B, Palomares V, Brown J, Bang AG, Mertens J, Böhnke L, Boyer L, Simon S & Gage FH (2015). Neuronal medium that supports basic synaptic functions and activity of human neurons in vitro. Proc Natl Acad Sci USA 112, E2725–2734. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bayatti N, Moss JA, Sun L, Ambrose P, Ward JF, Lindsay S & Clowry GJ (2008). A molecular neuroanatomical study of the developing human neocortex from 8 to 17 postconceptional weeks revealing the early differentiation of the subplate and subventricular zone. Cereb Cortex 18, 1536–1548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Ben‐Ari Y, Gaiarsa JL, Tyzio R & Khazipov R (2007). GABA: a pioneer transmitter that excites immature neurons and generates primitive oscillations. Physiol Rev 87, 1215–1284. [DOI] [PubMed] [Google Scholar]
  5. Benninger F, Beck H, Wernig M, Tucker KL, Brüstle O & Scheffler B (2003). Functional integration of embryonic stem cell‐derived neurons in hippocampal slice cultures. J Neurosci 23, 7075–7083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bilican B, Livesey MR, Haghi G, Qiu J, Burr K, Siller R, Hardingham GE, Wyllie DJ & Chandran S (2014). Physiological normoxia and absence of EGF is required for the long‐term propagation of anterior neural precursors from human pluripotent cells. PLoS One 9, e85932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Blaesse P, Airaksinen MS, Rivera C & Kaila K (2009). Cation‐chloride cotransporters and neuronal function. Neuron 61, 820–838. [DOI] [PubMed] [Google Scholar]
  8. Bourne JN & Harris KM (2008). Balancing structure and function at hippocampal dendritic spines. Annu Rev Neurosci 31, 47–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Chambers SM, Fasano CA, Papapetrou EP, 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. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Chander P & Weick J (2014). Neuron specific gene 2 (Nsg2): a novel AMPA receptor interacting protein involved in secretory vesicle transport Program No. 777.09. Neuroscience 2014 Meeting Planner. Society for Neuroscience, Washington, DC, USA. Online. [Google Scholar]
  11. Copi A, Jüngling K & Gottmann K (2005). Activity‐ and BDNF‐induced plasticity of miniature synaptic currents in ES cell‐derived neurons integrated in a neocortical network. J Neurophysiol 94, 4538–4543. [DOI] [PubMed] [Google Scholar]
  12. Defelipe J (2011). The evolution of the brain, the human nature of cortical circuits, and intellectual creativity. Front Neuroanat 5, 29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Eiraku M, Watanabe K, Matsuo‐Takasaki M, Kawada M, Yonemura S, Matsumura M, Wataya T, Nishiyama A, Muguruma K & Sasai Y (2008). Self‐organized formation of polarized cortical tissues from ESCs and its active manipulation by extrinsic signals. Cell Stem Cell 3, 519–532. [DOI] [PubMed] [Google Scholar]
  14. Espuny‐Camacho I, Michelsen KA, Gall D, Linaro D, Hasche A, Bonnefont J, Bali C, Orduz D, Bilheu A, Herpoel A, Lambert N, Gaspard N, Péron S, Schiffmann SN, Giugliano M, Gaillard A & Vanderhaeghen P (2013). Pyramidal neurons derived from human pluripotent stem cells integrate efficiently into mouse brain circuits in vivo. Neuron 77, 440–456. [DOI] [PubMed] [Google Scholar]
  15. Flint AC, Liu X & Kriegstein AR (1998). Nonsynaptic glycine receptor activation during early neocortical development. Neuron 20, 43–53. [DOI] [PubMed] [Google Scholar]
  16. Frank L, Ventimiglia R, Anderson K, Lindsay RM & Rudge JS (1996). BDNF down‐regulates neurotrophin responsiveness, TrkB protein and TrkB mRNA levels in cultured rat hippocampal neurons. Eur J Neurosci 8, 1220–1230. [DOI] [PubMed] [Google Scholar]
  17. Frotscher M (1998). Cajal‐Retzius cells, Reelin, and the formation of layers. Curr Opin Neurobiol 8, 570–575. [DOI] [PubMed] [Google Scholar]
  18. Gaspard N & Vanderhaeghen P (2011). Laminar fate specification in the cerebral cortex. F1000 Biol Rep 3, 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Germain ND, Banda EC, Becker S, Naegele JR & Grabel LB (2013). Derivation and isolation of NKX2.1‐positive basal forebrain progenitors from human embryonic stem cells. Stem Cells Dev 22, 1477–1489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Hansen DV, Lui JH, Flandin P, Yoshikawa K, Rubenstein JL, Alvarez‐Buylla A & Kriegstein AR (2013). Non‐epithelial stem cells and cortical interneuron production in the human ganglionic eminences. Nat Neurosci 16, 1576–1587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Hansen DV, Rubenstein JL & Kriegstein AR (2011). Deriving excitatory neurons of the neocortex from pluripotent stem cells. Neuron 70, 645–660. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Henson MA, Roberts AC, Salimi K, Vadlamudi S, Hamer RM, Gilmore JH, Jarskog LF & Philpot BD (2008). Developmental regulation of the NMDA receptor subunits, NR3A and NR1, in human prefrontal cortex. Cereb Cortex 18, 2560–2573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Isaac JT, Ashby MC & McBain CJ (2007). The role of the GluR2 subunit in AMPA receptor function and synaptic plasticity. Neuron 54, 859–871. [DOI] [PubMed] [Google Scholar]
  24. James OT, Livesey MR, Qiu J, Dando O, Bilican B, Haghi G, Rajan R, Burr K, Hardingham GE, Chandran S, Kind PC & Wyllie DJ (2014). Ionotropic GABA and glycine receptor subunit composition in human pluripotent stem cell‐derived excitatory cortical neurones. J Physiol 592, 4353–4363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Johnson MA, Weick JP, Pearce RA & Zhang SC (2007). Functional neural development from human embryonic stem cells: accelerated synaptic activity via astrocyte coculture. J Neurosci 27, 3069–3077. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Kadoshima T, Sakaguchi H, Nakano T, Soen M, Ando S, Eiraku M & Sasai Y (2013). Self‐organization of axial polarity, inside‐out layer pattern, and species‐specific progenitor dynamics in human ES cell‐derived neocortex. Proc Natl Acad Sci USA 110, 20284–20289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Kim JE, O'Sullivan ML, Sanchez CA, Hwang M, Israel MA, Brennand K, Deerinck TJ, Goldstein LS, Gage FH, Ellisman MH & Ghosh A (2011). Investigating synapse formation and function using human pluripotent stem cell‐derived neurons. Proc Natl Acad Sci USA 108, 3005–3010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Kirwan P, Turner‐Bridger B, Peter M, Momoh A, Arambepola D, Robinson HP & Livesey FJ (2015). Development and function of human cerebral cortex neural networks from pluripotent stem cells in vitro. Development 142, 3178–3187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Lancaster MA, Renner M, Martin CA, Wenzel D, Bicknell LS, Hurles ME, Homfray T, Penninger JM, Jackson AP & Knoblich JA (2013). Cerebral organoids model human brain development and microcephaly. Nature 501, 373–379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Li XJ, Zhang X, Johnson MA, Wang ZB, Lavaute T & Zhang SC (2009). Coordination of sonic hedgehog and Wnt signaling determines ventral and dorsal telencephalic neuron types from human embryonic stem cells. Development 136, 4055–4063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Livesey M, Bilican B, James O, Qui J, Haghi G, Kind P, Hardingham G, Chandran S & Wyllie D (2013). Developmental maturation of AMPA, NMDA and GABAA receptor function in human cortical excitatory neurons derived from pluripotent stem cells. Program No. 415.24. Neuroscience 2013 Meeting Planner. Society for Neuroscience, San Diego, CA, USA. Online. [Google Scholar]
  32. Livesey MR, Bilican B, Qiu J, Rzechorzek NM, Haghi G, Burr K, Hardingham GE, Chandran S & Wyllie DJ (2014). Maturation of AMPAR composition and the GABAAR reversal potential in hPSC‐derived cortical neurons. J Neurosci 34, 4070–4075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Lui JH, Hansen DV & Kriegstein AR (2011). Development and evolution of the human neocortex. Cell 146, 18–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Lynch JW (2009). Native glycine receptor subtypes and their physiological roles. Neuropharmacology 56, 303–309. [DOI] [PubMed] [Google Scholar]
  35. Marchetto MC, Carromeu C, Acab A, Yu D, Yeo GW, Mu Y, Chen G, Gage FH & Muotri AR (2010). A model for neural development and treatment of Rett syndrome using human induced pluripotent stem cells. Cell 143, 527–539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Mariani J, Simonini MV, Palejev D, Tomasini L, Coppola G, Szekely AM, Horvath TL & Vaccarino FM (2012). Modeling human cortical development in vitro using induced pluripotent stem cells. Proc Natl Acad Sci USA 109, 12770–12775. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Markram H, Toledo‐Rodriguez M, Wang Y, Gupta A, Silberberg G & Wu C (2004). Interneurons of the neocortical inhibitory system. Nat Rev Neurosci 5, 793–807. [DOI] [PubMed] [Google Scholar]
  38. Maroof AM, Keros S, Tyson JA, Ying SW, Ganat YM, Merkle FT, Liu B, Goulburn A, Stanley EG, Elefanty AG, Widmer HR, Eggan K, Goldstein PA, Anderson SA & Studer L (2013). Directed differentiation and functional maturation of cortical interneurons from human embryonic stem cells. Cell Stem Cell 12, 559–572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Molyneaux BJ, Arlotta P, Menezes JR & Macklis JD (2007). Neuronal subtype specification in the cerebral cortex. Nat Rev Neurosci 8, 427–437. [DOI] [PubMed] [Google Scholar]
  40. Moody WJ & Bosma MM (2005). Ion channel development, spontaneous activity, and activity‐dependent development in nerve and muscle cells. Physiol Rev 85, 883–941. [DOI] [PubMed] [Google Scholar]
  41. Nicholas CR, Chen J, Tang Y, Southwell DG, Chalmers N, Vogt D, Arnold CM, Chen YJ, Stanley EG, Elefanty AG, Sasai Y, Alvarez‐Buylla A, Rubenstein JL & Kriegstein AR (2013). Functional maturation of hPSC‐derived forebrain interneurons requires an extended timeline and mimics human neural development. Cell Stem Cell 12, 573–586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. O'Leary DD, Chou SJ & Sahara S (2007). Area patterning of the mammalian cortex. Neuron 56, 252–269. [DOI] [PubMed] [Google Scholar]
  43. Okabe A, Kilb W, Shimizu‐Okabe C, Hanganu IL, Fukuda A & Luhmann HJ (2004). Homogenous glycine receptor expression in cortical plate neurons and Cajal‐Retzius cells of neonatal rat cerebral cortex. Neuroscience 123, 715–724. [DOI] [PubMed] [Google Scholar]
  44. Olsen RW & Sieghart W (2009). GABAA receptors: subtypes provide diversity of function and pharmacology. Neuropharmacology 56, 141–148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Pak C, Danko T, Zhang Y, Aoto J, Anderson G, Maxeiner S, Yi F, Wernig M & Südhof TC (2015). Human neuropsychiatric disease modeling using conditional deletion reveals synaptic transmission defects caused by heterozygous mutations in NRXN1 . Cell Stem Cell 17, 316–328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Paşca AM, Sloan SA, Clarke LE, Tian Y, Makinson CD, Huber N, Kim CH, Park JY, O'Rourke NA, Nguyen KD, Smith SJ, Huguenard JR, Geschwind DH, Barres BA & Paşca SP (2015). Functional cortical neurons and astrocytes from human pluripotent stem cells in 3D culture. Nat Methods 12, 671–678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Penzes P, Cahill ME, Jones KA, VanLeeuwen JE & Woolfrey KM (2011). Dendritic spine pathology in neuropsychiatric disorders. Nat Neurosci 14, 285–293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Piña‐Crespo JC, Talantova M, Cho EG, Soussou W, Dolatabadi N, Ryan SD, Ambasudhan R, McKercher S, Deisseroth K & Lipton SA (2012). High‐frequency hippocampal oscillations activated by optogenetic stimulation of transplanted human ESC‐derived neurons. J Neurosci 32, 15837–15842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Sandoe J & Eggan K (2013). Opportunities and challenges of pluripotent stem cell neurodegenerative disease models. Nat Neurosci 16, 780–789. [DOI] [PubMed] [Google Scholar]
  50. Shcheglovitov A, Shcheglovitova O, Yazawa M, Portmann T, Shu R, Sebastiano V, Krawisz A, Froehlich W, Bernstein JA, Hallmayer JF & Dolmetsch RE (2013). SHANK3 and IGF1 restore synaptic deficits in neurons from 22q13 deletion syndrome patients. Nature 503, 267–271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Shi Y, Kirwan P, Smith J, Robinson HP & Livesey FJ (2012). Human cerebral cortex development from pluripotent stem cells to functional excitatory synapses. Nat Neurosci 15, 477–486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Spitzer NC (2006). Electrical activity in early neuronal development. Nature 444, 707–712. [DOI] [PubMed] [Google Scholar]
  53. Stein JL, de la Torre‐Ubieta L, Tian Y, Parikshak NN, Hernández IA, Marchetto MC, Baker DK, Lu D, Hinman CR, Lowe JK, Wexler EM, Muotri AR, Gage FH, Kosik KS & Geschwind DH (2014). A quantitative framework to evaluate modeling of cortical development by neural stem cells. Neuron 83, 69–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Talos DM, Follett PL, Folkerth RD, Fishman RE, Trachtenberg FL, Volpe JJ & Jensen FE (2006). Developmental regulation of α‐amino‐3‐hydroxy‐5‐methyl‐4‐isoxazole‐propionic acid receptor subunit expression in forebrain and relationship to regional susceptibility to hypoxic/ischemic injury. II. Human cerebral white matter and cortex. J Comp Neurol 497, 61–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Tornero D, Wattananit S, Grønning Madsen M, Koch P, Wood J, Tatarishvili J, Mine Y, Ge R, Monni E, Devaraju K, Hevner RF, Brüstle O, Lindvall O & Kokaia Z (2013). Human induced pluripotent stem cell‐derived cortical neurons integrate in stroke‐injured cortex and improve functional recovery. Brain 136, 3561–3577. [DOI] [PubMed] [Google Scholar]
  56. Traynelis SF, Wollmuth LP, McBain CJ, Menniti FS, Vance KM, Ogden KK, Hansen KB, Yuan H, Myers SJ & Dingledine R (2010). Glutamate receptor ion channels: structure, regulation, and function. Pharmacol Rev 62, 405–496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. van de Leemput J, Boles NC, Kiehl TR, Corneo B, Lederman P, Menon V, Lee C, Martinez RA, Levi BP, Thompson CL, Yao S, Kaykas A, Temple S & Fasano CA (2014). CORTECON: a temporal transcriptome analysis of in vitro human cerebral cortex development from human embryonic stem cells. Neuron 83, 51–68. [DOI] [PubMed] [Google Scholar]
  58. van den Ameele J, Tiberi L, Vanderhaeghen P & Espuny‐Camacho I (2014). Thinking out of the dish: what to learn about cortical development using pluripotent stem cells. Trends Neurosci 37, 334–342. [DOI] [PubMed] [Google Scholar]
  59. Weick JP, Austin Johnson M & Zhang SC (2009). Developmental regulation of human embryonic stem cell‐derived neurons by calcium entry via transient receptor potential channels. Stem Cells 27, 2906–2916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Weick JP, Liu Y & Zhang SC (2011). Human embryonic stem cell‐derived neurons adopt and regulate the activity of an established neural network. Proc Natl Acad Sci USA 108, 20189–20194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Wen Z, Nguyen HN, Guo Z, Lalli MA, Wang X, Su Y, Kim NS, Yoon KJ, Shin J, Zhang C, Makri G, Nauen D, Yu H, Guzman E, Chiang CH, Yoritomo N, Kaibuchi K, Zou J, Christian KM, Cheng L, Ross CA, Margolis RL, Chen G, Kosik KS, Song H & Ming GL (2014). Synaptic dysregulation in a human iPS cell model of mental disorders. Nature 515, 414–418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Wernig M, Benninger F, Schmandt T, Rade M, Tucker KL, Büssow H, Beck H & Brüstle O (2004). Functional integration of embryonic stem cell‐derived neurons in vivo. J Neurosci 24, 5258–5268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Whitney NP, Peng H, Erdmann NB, Tian C, Monaghan DT & Zheng JC (2008). Calcium‐permeable AMPA receptors containing Q/R‐unedited GluR2 direct human neural progenitor cell differentiation to neurons. FASEB J 22, 2888–2900. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Wright A & Vissel B (2012). The essential role of AMPA receptor GluR2 subunit RNA editing in the normal and diseased brain. Front Mol Neurosci 5, 34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Wu H, Xu J, Pang ZP, Ge W, Kim KJ, Blanchi B, Chen C, Südhof TC & Sun YE (2007). Integrative genomic and functional analyses reveal neuronal subtype differentiation bias in human embryonic stem cell lines. Proc Natl Acad Sci USA 104, 13821–13826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Wyllie DJ, Livesey MR & Hardingham GE (2013). Influence of GluN2 subunit identity on NMDA receptor function. Neuropharmacology 74, 4–17. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from The Journal of Physiology are provided here courtesy of The Physiological Society

RESOURCES