The Epigenetic Factor Landscape of Developing Neocortex Is Regulated by Transcription Factors Pax6→ Tbr2→ Tbr1

Epigenetic factors (EFs) regulate multiple aspects of cerebral cortex development, including proliferation, differentiation, laminar fate, and regional identity. The same neurodevelopmental processes are also regulated by transcription factors (TFs), notably the Pax6→ Tbr2→ Tbr1 cascade expressed sequentially in radial glial progenitors (RGPs), intermediate progenitors, and postmitotic projection neurons, respectively. Here, we studied the EF landscape and its regulation in embryonic mouse neocortex. Microarray and in situ hybridization assays revealed that many EF genes are expressed in specific cortical cell types, such as intermediate progenitors, or in rostrocaudal gradients. Furthermore, many EF genes are directly bound and transcriptionally regulated by Pax6, Tbr2, or Tbr1, as determined by chromatin immunoprecipitation-sequencing and gene expression analysis of TF mutant cortices. Our analysis demonstrated that Pax6, Tbr2, and Tbr1 form a direct feedforward genetic cascade, with direct feedback repression. Results also revealed that each TF regulates multiple EF genes that control DNA methylation, histone marks, chromatin remodeling, and non-coding RNA. For example, Tbr1 activates Rybp and Auts2 to promote the formation of non-canonical Polycomb repressive complex 1 (PRC1). Also, Pax6, Tbr2, and Tbr1 collectively drive massive changes in the subunit isoform composition of BAF chromatin remodeling complexes during differentiation: for example, a novel switch from Bcl7c (Baf40c) to Bcl7a (Baf40a), the latter directly activated by Tbr2. Of 11 subunits predominantly in neuronal BAF, 7 were transcriptionally activated by Pax6, Tbr2, or Tbr1. Using EFs, Pax6→ Tbr2→ Tbr1 effect persistent changes of gene expression in cell lineages, to propagate features such as regional and laminar identity from progenitors to neurons.

Introduction

Development of the embryonic cerebral cortex is regulated by intrinsic genetic programs and signaling interactions that ultimately give rise to diverse cortical areas, layers, and neuron subtypes with distinct gene expression profiles (Sun and Hevner, 2014; Silbereis et al., 2016). In each cell type, the gene expression profile is determined by a combination of transcription factors (TFs) that bind specific DNA sequences to activate or repress transcription, and epigenetic factors (EFs) that control chromatin structure and accessibility for transcription (Bernstein et al., 2007; Allis and Jenuwein, 2016). Transcriptional activity thus depends on the epigenetic status of the chromatin, as well as the presence or absence of specific TFs that bind promoters, enhancers, and other cis-acting regulatory elements in the genome (Nord et al., 2015; Shibata et al., 2015).

Among many important TFs in cortical development, the Pax6→ Tbr2→ Tbr1 cascade is significant because these TFs are expressed sequentially in radial glial progenitors (RGPs), intermediate progenitors (IPs), and postmitotic projection neurons (PNs), respectively (Englund et al., 2005; Hevner et al., 2006). Furthermore, these three TFs regulate important features of cortical neurons, including rostrocaudal (area) identity, PN migration, and axon projections (reviewed by Georgala et al., 2011; Mihalas and Hevner, 2017). Significantly, all three TFs are expressed in high rostral-low caudal gradients, and parallel shifts of rostrocaudal identity are found in Pax6, Tbr2 (MGI: Eomes), and Tbr1 mutant mice (Bishop et al., 2000; Bedogni et al., 2010a; Elsen et al., 2013). To explain their sequential expression, we hypothesized that Pax6, Tbr2, and Tbr1 form a genetic cascade in cortical PN lineages.

Epigenetic mechanisms are prominently involved in the etiology of intellectual disability (Iwase et al., 2017). While definitions of “epigenetics” have changed over time (Deans and Maggert, 2015; Allis and Jenuwein, 2016), most current studies recognize four broad categories of epigenetic mechanisms (Hsieh and Zhao, 2016; Yao et al., 2016): (1) DNA methylation; (2) histone covalent modifications (“marks”), such as lysine acetylation and methylation; (3) ATPase-dependent chromatin remodeling, by complexes such as BAF and NuRD; and (4) effects of non-coding RNA (ncRNA), including microRNA (miR). These epigenetic mechanisms are broadly mediated by at least 800 protein-coding EF genes, and untold numbers of ncRNA species (Medvedeva et al., 2015; Silbereis et al., 2016). In the current project, we focused on EF genes that exhibit cell-type or region-specific expression; or that are dysregulated in the neocortex of Pax6 (Holm et al., 2007), Tbr2 (Elsen et al., 2013; Mihalas et al., 2016), Tbr1 (Bedogni et al., 2010a), or Tbr1 and Tbr2 (Tbr1/2; present study) mutant neocortex.

Previous studies have demonstrated physical and genetic interactions between EFs and TFs during neurogenesis. In adult subependymal zone progenitors, Pax6 forms a complex with BAF, a large, multi-subunit ATPase-dependent chromatin remodeler, to activate neurogenic genes such as Sox11 (Ninkovic et al., 2013). In developing neocortex, Tbr2 interacts with Jmjd3 (Gene: Kdm6b), a histone lysine demethylase that removes repressive trimethylation marks on histone H3 lysine 27 (H3K27me3) placed by Polycomb repressive complex 2 (PRC2), to thereby derepress transcription (Sessa et al., 2017). Such interactions illustrate that TFs sometimes function by physically recruiting and targeting EFs to specific genes.

Examples where TFs and EFs regulate each other at the transcriptional level are also known. In developing forebrain, Jarid1b (Kdm5b), a histone lysine demethylase that removes activating epigenetic marks (H3K4me2/3) placed by Trithorax-Group (TrxG) complexes, is required to deactivate and thus limit Pax6 expression (Albert et al., 2013). Similarly, Af9 (Mllt3), a YEATS domain protein that binds acetylated lysine residues, negatively modulates transcription of Tbr1 during genesis of upper cortical layers (Büttner et al., 2010).

Conversely, Pax6, Tbr2, and Tbr1 also regulate the expression of some EF genes, although in many cases it remains unclear whether such regulation is direct. For example, Dnmt3a (a DNA methyltransferase) is upregulated in Pax6 null embryonic cortex (Holm et al., 2007), but it is unknown if Pax6 regulates Dnmt3a directly or indirectly (Ypsilanti and Rubenstein, 2016). A few EF genes are known targets of Tbr2, such as Gadd45g, important in DNA demethylation (Sessa et al., 2017). Tbr1 is known to activate Auts2 (Bedogni et al., 2010a), a Polycomb repressive complex 1 (PRC1) non-canonical subunit (Gao et al., 2014); and Arid1b, an important BAF subunit (Notwell et al., 2016). Building on these few examples, one goal of the present study was to comprehensively identity EF genes that are directly bound and regulated by Pax6, Tbr2, and Tbr1.

In addition to studying regulation of EF genes, we also wished to characterize EF genes associated with cortical differentiation, comprising the “EF landscape.” In embryonic neocortex, histological zones are correlated with cell identity and differentiation (Bystron et al., 2008), while rostrocaudal and mediolateral gradients of gene expression presage arealization (O'Leary et al., 2007). Indeed, zonal expression patterns can be used to infer specificity of gene expression in RGPs, apical IPs, basal IPs, and neurons (Kawaguchi et al., 2008). In the present study, by combining microarray analysis of RGP and IP transcriptomes (Nelson et al., 2013) with in situ hybridization (ISH) to define gene expression patterns, we find that dozens of EF genes exhibit cell-type or region-specific expression, and together constitute a rich EF landscape involving all categories of epigenetic mechanisms.

Our analysis depicts a new, comprehensive view of the EF landscape in developing neocortex, and its regulation by Pax6, Tbr2, and Tbr1. In addition, this approach yields an updated portrayal of the Pax6→ Tbr2→ Tbr1 cascade, including feedforward and feedback regulation. Importantly, the data indicate that Pax6 is not a specific marker of RGPs, but is also expressed in many Tbr2+ IPs, as we have noted (Englund et al., 2005). Other TFs, such as Sox9, are more specific RGP markers. Together, our results show how a cortical TF network implements cortical differentiation by controlling diverse EFs.

Materials and Methods

Data Sources

To study gene expression and regulation in the context of cortical neurogenesis, we analyzed data from experiments using embryonic mouse cortex, in the age range from embryonic day (E) 13.5 to E15.5. For microarray and chromatin immunoprecipitation-sequencing (ChIP-seq) experiments, data were reanalyzed from previous studies, and from a new microarray dataset (Supplementary Table S1). For in situ hybridization (ISH), data were sourced from Genepaint (http://genepaint.org); the Allen Brain Atlas Developing Mouse Brain (http://developingmouse.brain-map.org/); the Brain Gene Expression Map (BGEM), hosted at Gensat (http://gensat.org); and previous literature.

Screen to Identify Cell-Type and Region-Specific Gene Expression

Previously, transcriptome profiling and unbiased cluster analysis of single cells indicated that the ventricular zone (VZ) and subventricular zone (SVZ) of E14.5 mouse neocortex contain four cell types: RGPs, apical IPs (aIPs), basal IPs (bIPs), and postmitotic projection neurons (PNs) (Kawaguchi et al., 2008). Each cell type occupies characteristic histological zones in developing neocortex: RGPs in VZ; aIPs in VZ; bIPs in SVZ; and PNs in SVZ, intermediate zone (IZ), and cortical plate (CP). Using this information, we screened the top 300 differentially expressed genes (up- and downregulated) from a previous microarray experiment comparing RGP and IP transcriptomes (Nelson et al., 2013). For the selected genes, we assessed histological expression patterns as revealed by ISH or microdissection (Ayoub et al., 2011). The primary goal was to identify RGP and IP genes, but as it happened, PN-specific genes were also enriched in Tbr2-GFP+ sorted cells, reflecting perdurance of GFP in daughter neurons of IPs (Nelson et al., 2013). Conversely, non-PN lineages (e.g., meninges) were highly enriched in Tbr2-GFP⁻ sorted cells.

Cell-type specificity was determined using the following criteria. RGP genes were enriched in Tbr2-GFP⁻ cells on microarray (log₂FC < 0; p < 0.05), and expressed mainly in VZ; aIP genes were enriched in Tbr2-GFP+ cells (log₂FC > 0; p < 0.05), and expressed mainly in VZ; bIP genes were enriched in Tbr2-GFP+ cells, and expressed mainly in SVZ; PN genes were enriched in Tbr2-GFP+ cells, and expressed in IZ/CP. Some neuronal differentiation genes were expressed by not only neurons, but also progenitor cells undergoing neuronal differentiation. Also, some neuronal genes were widely expressed in forebrain neurons, while others were restricted to cortical PNs. Thus, neuron-specific genes were further classified according to initial zone of expression (VZ earliest, CP latest), and specificity for cortical or general neurons. If different microarray probes for the same gene showed enrichment in Tbr2-GFP+ and Tbr2-GFP⁻ cells (“conflicted” probes), the gene was not considered specific for cell type. Genes with rostrocaudal expression gradients were identified, and classified according to zone of expression, as previously described (Bedogni et al., 2010a; Elsen et al., 2013; Alfano et al., 2014). Further details of our approach, including analysis of gene expression in other cell types (such as GABAergic neurons), will be presented in a separate manuscript (in preparation).

By this approach, 52 EF genes with cell-type-specific expression in developing neocortex were ascertained (Supplementary Table S2), as were 11 EF genes with rostrocaudal gradients; 4 genes exhibited both cell-type and region-specific expression (Supplementary Table S3).

New Microarray Analyses of Tbr1, Tbr2, and Tbr1/2 Deficient Cortex

Tbr1 knockout (KO), Tbr2 conditional knockout (cKO), and Tbr1/2 double KO/cKO (dKO) mouse embryos were produced as described (Bedogni et al., 2010a; Elsen et al., 2013). The Tbr1/2 double mutants were generated by breeding to combine the necessary alleles (Tbr1^−/−−;Tbr2^2F/2F;Nes11^Cre). On E14.5, embryos were harvested, and neocortex was immediately dissected and frozen as described (Elsen et al., 2013). Genotypes were determined by PCR of tail DNA. Controls were wild type (+/+) for Tbr1 and non-recombined for Tbr2. RNA was purified from neocortex, quality checked, and submitted for microarray analysis (Affymetrix Mouse Exon 1.0 ST). Each embryonic neocortex was an independent biological replicate. The number of samples (n) of each genotype was: 3 control, 4 Tbr1 KO, 2 Tbr2 cKO, and 3 Tbr1/2 dKO. The microarray results were analyzed statistically as described (Elsen et al., 2013). In the current paper, we also analyzed previous microarray data from Tbr1 KO (Bedogni et al., 2010a) and Tbr2 cKO (Elsen et al., 2013) neocortices, designated microarray 1 (MA1); the new microarray data were designated microarray 2 (MA2). Tbr1/2 dKO neocortex was analyzed only in MA2 (Supplementary Table S1). The new microarray data reported in this paper have been deposited in the Gene Expression Omnibus (GEO) database, www.ncbi.nlm.nih.gov/geo (accession no. GSE115703).

Ethics Statement

This study was carried out in accordance with the recommendations of Guide for the Care and Use of Laboratory Animals, National Research Council. The protocol was approved by the Institutional Animal Care and Use Committee of Seattle Children's Research Institute.

Analysis of ChIP-Seq and Other TF Binding Data

Previous ChIP-seq raw data were obtained and reanalyzed for Pax6 (Pattabiraman et al., 2014), Tbr2 (Sessa et al., 2017), and Tbr1 (Notwell et al., 2016). TF binding sites (peaks) were determined from BED files using the Bioconductor ChIPpeakAnno package (Zhu et al., 2010), as well as the TxDb.Mmusculus.UCSC.mm9.knownGene package, which is simply a re-packaging of the UCSC known gene table for the mm9 genome build (Rosenbloom et al., 2015). Peaks were annotated to the closest gene within 50 kilobases (kb) of the binding site. In the present analysis, TF binding was considered “positive” if the binding site was located anywhere in the transcribed sequence, or within 50 kb upstream or downstream.

The ChIP-seq data listed in Supplementary Table S1 were our main sources, but TF binding was also evaluated by reference to previous literature. For Pax6, previous studies included genome-wide ChIP analyses of Pax6 binding in E12.5 neocortex (Sansom et al., 2009) and forebrain (Sun et al., 2015); as well as computational analysis and prediction of Pax6 binding sites (Coutinho et al., 2011). Results of all TF binding analyses for selected EF genes are included in Supplementary Table S3.

Defining Direct Target Genes Regulated by Transcription Factors

Genes were defined as direct targets of Pax6, Tbr2, or Tbr1 regulation if the gene showed both TF binding by ChIP-seq, and differential expression (p < 0.05) in TF mutant neocortex compared to control on microarray. For analysis of Tbr1 and Tbr2 direct target genes, differential expression (p < 0.05) on either MA1 or MA2 was accepted as evidence of regulation. Genes regulated synergistically by Tbr1 and Tbr2 were identified by the presence of both Tbr1 and Tbr2 binding sites, and significant differential expression (p < 0.05) in Tbr1/2 dKO cortex, but not in Tbr1 KO or Tbr2 cKO cortex independently.

By this approach, 36 EF genes were identified as direct targets of transcriptional regulation by Pax6, Tbr2, and/or Tbr1; direct regulation was also assessed for the key TFs Pax6, Insm1, Tbr2, and Tbr1 (Supplementary Table S4).

Results and Discussion

Cell-Type Specific Expression of Pax6, Tbr2, and Tbr1

Using the methods described above to evaluate cell-type-specific gene expression, we began by evaluating the expression of Pax6, Tbr2, Tbr1, and other selected TFs. As expected, Tbr2 and Tbr1 were highly enriched in the Tbr2-GFP+ lineage, and showed zonal expression patterns on ISH consistent with IPs (aIPs and bIPs) and PNs, respectively (Figure 1A). However, Pax6 expression was not cell-type-specific: different probes for Pax6 on the Tbr2-GFP microarray were enriched in different cell groups (conflicted probes), while ISH showed Pax6 in both VZ and SVZ (Figure 1A). These results accord with our previous observations that Pax6 protein is expressed not only in RGPs, but also in some IPs (Englund et al., 2005). However, other TFs were identified as specific markers of RGPs, such as Sox9 (Figure 1A). Immunohistochemistry and genetic lineage tracing have confirmed that Sox9 is specifically expressed in RGPs (Kaplan et al., 2017).

FIGURE 1

Figure 1. Cell types, TF expression, and histological zones in E14.5 mouse neocortex. (A) Neurogenesis and cell-type-specific TF expression. Histological zones and cell types (left) are aligned with TF gene ISH (right; white ISH signal, blue nuclear counterstain). Arrows indicate common (but not exclusive) pathways of neurogenesis. Numbers above ISH panels indicate log₂FC on Tbr2-GFP microarray (all p < 0.05). Abbreviations: see text. ISH: Allen Brain Atlas Developing Mouse Brain, E15.5 (colors inverted for figure). Scale bar: 50 μm. (B) The Pax6→ Tbr2→ Tbr1 cascade involves direct feedforward activation (arrows) and feedback repression (bars). The effect of Tbr2 binding at the Tbr2 locus could not be determined from available data (see text), but could be feedback repression.

Feedforward and Feedback Regulation in the Pax6→ Tbr2→ Tbr1 Cascade

Using an intersectional approach to identify genes that were both bound and regulated by each TF (details in section Materials and Methods), we first examined whether Pax6, Tbr2, and Tbr1 transcriptionally regulate each other and/or themselves.

Previous studies have found that Pax6 directly represses its own transcription (Manuel et al., 2007), and directly activates Tbr2 expression (Sansom et al., 2009). Our analysis confirmed that both Pax6 and Tbr2 were bound and regulated by Pax6. In Pax6 null (Pax6^Sey/Sey) neocortex, expression of Pax6 (non-functional mRNA) was greatly increased (log₂FC = +1.20; p = 10⁻⁶), while Tbr2 was greatly decreased (log₂FC = −1.07; p = 10⁻⁶).

Previous studies have also suggested that Tbr2 directly binds and activates Tbr1 (Sessa et al., 2017). This was confirmed in the present analysis. Moreover, we found that Tbr2 binds and represses Pax6: in Tbr2 cKO neocortex, Pax6 was significantly upregulated (log₂FC = +0.36, p = 10⁻³ on MA1; log₂FC = +0.49, p = 10⁻³ on MA2). In contrast, Tbr1 was downregulated in Tbr2 cKO cortex. We also noted Tbr2 binding to its own gene (Tbr2), although the functional effects were uncertain: Tbr2 mRNA expression is reduced due to Tbr2 cKO (Elsen et al., 2013), so the effects of Tbr2 on its own transcription could not be evaluated. We speculate that, like Pax6, Tbr2 may repress its own transcription as a feedback mechanism (Figure 1B).

ChIP-seq analysis of Tbr1 showed that Tbr1 binds to the Tbr2 locus, but not to Pax6 or Tbr1. On microarray, however, Tbr2 expression was not significantly changed in Tbr1 null mice (S3). Thus, Tbr1 does not appear to directly regulate Tbr2, Pax6, or Tbr1.

Together, these data indicate that the Pax6→ Tbr2→ Tbr1 cascade operates as a positive feedforward cascade, but also self-regulates by direct negative feedback effects (Figure 1B).

Since Pax6, Tbr2, and Tbr1 are expressed in different cell types (differentiation stages in the same lineage)—except for overlapping expression of Pax6 and Tbr2 in some IPs (Englund et al., 2005)—feedforward activation may involve epigenetic mechanisms. For example, Tbr2 and Tbr1 exhibit virtually no overlap of protein expression in developing neocortex, yet Tbr2 expression in IPs is essential for high levels of Tbr1 expression in postmitotic PNs (S4). One explanation is that Tbr2 may drive epigenetic changes at the Tbr1 locus that persist in postmitotic neurons. For example, removal of repressive histone marks by Jmjd3, an interacting protein of Tbr2, may create a permissive chromatin environment for Tbr1 transcription (Sessa et al., 2017).

Identification of EFs With Cellular, Regional, or TF-Regulated Expression

To identify genes with cell-type or region-specific expression in E14.5 mouse neocortex, we screened differentially expressed genes from a previous microarray experiment comparing RGP and IP transcriptomes (Nelson et al., 2013). We used ISH to characterize expression patterns in developing neocortex (Supplementary Figure S1; Section Materials and Methods). To identify EF genes regulated by Pax6, Tbr2, and Tbr1, we selected EF genes that were both bound by the TF per ChIP-seq, and significantly regulated in TF null neocortex per microarray. All EF genes that were evaluated are listed in Supplementary Table S3, which also includes results from microarrays, ISH, and ChIP-seq; annotations of cell-type and regional identity; and previous literature citations.

Of more than 350 EF genes evaluated, 52 exhibited cell-type-specific expression: 14 in RGPs, 2 in aIPs, 6 in bIPs, 9 in aIPs and bIPs, 18 in general neurons or precursors, and 3 in PNs or precursors (Supplementary Table S2). In addition, 11 EF genes exhibited rostrocaudal gradients: 4 high rostral, 7 high caudal (Supplementary Table S3). Furthermore, 36 EF genes were bound and regulated by Pax6, Tbr2, and/or Tbr1 (Supplementary Table S4). Of these, 9 were regulated by two TFs independently, but always in the same direction; and 2 EF genes were regulated only synergistically by Tbr2 and Tbr1. The effects of TFs on target gene expression were mixed: Pax6 activated 5 EF genes, and repressed 5; Tbr2 activated 8, and repressed 10; Tbr1 activated 13, and repressed 2; Tbr1 and Tbr2 (Tbr1/2) coordinately activated 2 EF genes. In sum, 73 EF genes showed cell-type or regional specificity, or were directly regulated by at least one of the TFs (Pax6, Tbr2, and Tbr1).

Results for each category of EFs are presented and discussed in the following sections. Neurodevelopmental implications are discussed in the final sections.

DNA Methylation and Demethylation

DNA methylation (5-methylcytosine on CpG) mediates chromatin compaction and gene silencing, and is actively regulated during neurogenesis (Moore et al., 2013; Sharma et al., 2016). DNA methylation is mediated by N-methyltransferases (Dnmt1/3a/3b), and can be reversed (erased) by pathways involving Gadd45a/b/g, Tet, and Aicda genes (Moore et al., 2013; Matsunaga et al., 2015). Dnmt1 is active on hemimethylated DNA in newly replicated cells, while Dnmt3a/3b catalyze targeted de novo methylation. Silencing of methylated DNA is mediated by “reader” proteins, such as methyl-binding domain proteins (Mecp2 and Mbd genes), and zinc-finger proteins such as Kaiso (Zbtb33), Zbtb4, and Zbtb38. Dnmt activity can also be modulated by factors such as Np95 (Uhrf1), a histone reader that stabilizes and potentiates Dnmt1 (Murao et al., 2014).

In the present analysis, all three Dnmt genes (Dnmt1/3a/3b) were specifically enriched in RGPs (Figure 2). In addition, Mbd2 and Uhrf1 were enriched in Tbr2-GFP⁻ cells, but they were not detected on ISH, and could not be assigned RGP identity with confidence. Downregulation of DNA methylation activity in IPs was directed in part by Tbr2, which directly repressed Dnmt3a. Also, Mbd2 was directly repressed by Tbr2, consistent with the possibility that Mbd2 is RGP-specific, and actively repressed upon IP differentiation.

FIGURE 2

Figure 2. Expression and regulation of DNA methylation/demethylation factors. (A–D) Expression of the indicated genes in E14.5 mouse neocortex. Dnmt1 (A), Dnmt3a (B), and Dnmt3b (C) were expressed in VZ, and were significantly enriched in Tbr2-GFP⁻ cells, defining them as RGP markers (Supplementary Table S2). Gadd45g (D), part of a pathway for DNA demethylation, was expressed in a high caudal gradient in the VZ, but was not significantly enriched in RGPs or IPs on microarray. (Significant log₂FC values are indicated by bold text, in red or green). Sagittal sections, rostral left, ventral down (see also Supplementary Figure S1). ISH: Genepaint (A,C,D) and BGEM (B; darkfield). Scale bar: 100 μm. (E) Cell-type-specific gene expression and regulation by TFs. Arrows, direct transcriptional activation; bars, direct repression. (F) Pax6 and Tbr2 may shape the Gadd45g gradient by direct repression.

Among DNA demethylation genes, Gadd45g was regionally enriched with a high caudal gradient in VZ/SVZ, and was directly repressed by Pax6 and Tbr2 (Figure 2F). Gadd45a, although not detected by ISH, was also directly repressed by Tbr2 (Figure 2E). Tet1 was significantly enriched in Tbr2-GFP+ cells (although not detected on ISH), and was directly activated by Tbr1.

Mecp2, a methyl-cytosine reader linked to Rett syndrome (Qiu, 2017), was enriched in Tbr2-GFP+ cells (log₂FC = +0.72), but not in any specific cell type, as ISH showed high levels in multiple zones. During embryonic neurogenesis, Mecp2 is necessary to limit Pax6 expression in Tbr2+ IPs, and to modulate the pace of PN maturation (Cobolli Gigli et al., 2018).

These results indicate that DNA methylation activity is mainly enriched in RGPs, and that PN differentiation is associated with reduced DNA methylation, and increased DNA demethylation. Also, the high caudal gradient of Gadd45g in progenitor zones implicates DNA demethylation in cortical regionalization. Pax6, Tbr2, and Tbr1 regulate this system by repressing and activating key genes, including repression of the caudal marker (Gadd45g) by Pax6 and Tbr2 (Figure 2F). Thus, DNA methylation and demethylation may regulate not only neuron differentiation (Sharma et al., 2016) and astrogenesis (Fan et al., 2005), but also cortical regionalization under the control of Pax6 and Tbr2.

Histone Marks

Histone marks are covalent modifications associated with regulation of chromatin structure and transcriptional activity (Allis and Jenuwein, 2016; Gates et al., 2017). Histone marks include acetylation, methylation, ubiquitylation, sumoylation, phosphorylation, and crotonylation. Generally, histone marks are placed by multisubunit enzyme complexes, are recognized by reader proteins, and are reversible by other enzyme complexes. Many EFs that place or remove histone marks have multiple subunit isoforms encoded by different genes, expressed in specific tissues or differentiation stages.

Histone Acetylation and Deacetylation

Histone lysine acetylation generally opens chromatin and activates transcription, while deacetylation represses transcription. Many families of histone acetyltransferases (HATs) and deacetylases (HDACs) mediate placement and reversal of the acetyl marks (Hodawadekar and Marmorstein, 2007; Bannister and Kouzarides, 2011; Sapountzi and Côté, 2011; Drazic et al., 2016). Type-A HATs, such as those in the MYST (e.g., Morf; Kat6b), GNAT (e.g., Gcn5; Kat2a), and Cbp/p300 (Crebbp/Ep300) families, regulate transcription and, in some cases, may also acetylate non-histone proteins. Some type-A HATs, such as p300, function as modular activating units that can be recruited by various EF/TF complexes, such as non-canonical PRC1-Auts2 (Gao et al., 2014). Type-B HATs (Hat1, Hat2) function in cytoplasmic nucleosome biogenesis. Likewise, some class I HDACs (Hdac1/2) serve as modular repressive units, in complexes such as NuRD and Rest/CoRest.

The present analysis identified several HATs and HDACs with cell-type-specific expression, and extensive regulation by Pax6, Tbr2, and Tbr1 (Figure 3). Among HATs, Hat1 and Kat7 were RGP-specific. Hat1 encodes a type-B HAT important in cell proliferation, while Kat7 (Myst2; HBO1), an H3K14 acetyltransferase, is required for general transcriptional activation, especially in progenitor cells during embryonic development (Kueh et al., 2011). Hat1 was directly repressed by Pax6, and indeed was among the top 100 upregulated genes in Pax6 null cortex (log₂FC = +0.84; p = 2 × 10⁻⁴). Type-A HATs Cbp (Crebbp) and p300 (Ep300) were highly expressed in cortex, but without clear zonal specificity on ISH; nor were they directly regulated by Pax6, Tbr2, or Tbr1.

FIGURE 3

Figure 3. Histone acetylases (HATs) and deacetylases (HDACs). (A–G) Expression of indicated genes. Hat1 (A) and Kat7 (B) were RGP-specific. Interestingly, Hdac9 (E) and Hdac5 (G) showed complementary zonal expression in VZ/SVZ and IZ/CP, respectively. ISH: Genepaint (A–E,G) and Allen Institute (F). Scale bar: 100 μm. (H) Cell-type-specific gene expression and regulation. Tbr2, Tbr1, and Mir9-2 regulate a switch from Hdac9 in progenitors, to Hdac5 in PNs. (I) No HATs or HDACs exhibited regional expression gradients.

Two type-A HATs, Kat2a and Kat6b, were specifically enriched in aIPs and bIPs in the VZ/SVZ (Figures 3C,D). Kat2a (Gcn5) is required to prevent apoptosis (Wu et al., 2017). Kat6b (Myst4; querkopf, Morf), despite being an aIP and bIP marker (Supplementary Table S2), was directly repressed by Tbr2 (Figure 3H; Supplementary Table S4). Interestingly, Kat6b is essential for the differentiation of layer 5 neurons (Thomas et al., 2000), and Tbr2 cKO cortex shows an expanded layer 5 (Mihalas et al., 2016). Also, mice lacking Brpf1, an activator of Morf (Kat6b), have thin cortex, especially layer 5, and reduced numbers of Tbr2+ IPs (You et al., 2015). Thus, layer 5 differentiation is regulated by a network that includes Tbr2, Morf (Kat6b), and Brpf1.

Among HDACs, Hdac9 (Mitr; an Hdac family member without deacetylase activity) was specifically expressed in aIPs and bIPs (Figure 3E; Supplementary Table S2), and was potently repressed by Tbr2 (Supplementary Table S4). In Tbr2 cKO mice, Hdac9 was one of the top 100 upregulated genes (log₂FC = +0.55, p = 2 × 10⁻⁴ on MA1; log₂FC = +0.68, p = 0.008 on MA2). One function of Mitr (Hdac9) is to limit gene expression driven by Mef2 and physiological excitation (Méjat et al., 2005). In the context of IPs, we speculate that Mitr might negatively regulate HDAC signaling.

Another HDAC, Hdac5, was specifically expressed by PNs in IZ/CP. Recent studies suggest that Hdac5 limits the expression of Mef2c target genes, thus restraining neurite outgrowth (Gu et al., 2018). In turn, Hdac5 has been identified as a target of miR-124 and miR-9 (Gu et al., 2018), elements of the ncRNA system in developing neocortex (described below). This is noteworthy because both Tbr1 and Tbr2 directly repress Mir9-2 (host gene of miR-9), and thus indirectly potentiate Hdac5 expression. Hdac3 was moderately enriched in Tbr2-GFP+ cells, and widely expressed on ISH.

Of the class I HDACs, Hdac2 was enriched in Tbr2-GFP+ cells, and was expressed predominantly by differentiating neurons in the IZ/CP of cortex (Figure 3F), and other forebrain regions (not shown). Thus, Hdac2 was classified as a marker of general neuronal differentiation starting in the IZ (N-iz; Supplementary Table S2). In contrast, Hdac1 showed no lineage bias on Tbr2-GFP microarray, and was widely expressed with highest levels in the VZ (see the section on Rest/CoRest complexes, below). In sum, Hdac1 and Hdac2 showed complementary enrichment in progenitors and neurons, respectively.

Among related factors in histone acetylation, Uhrf1, which recruits Dnmt1 and HATs to chromatin during proliferation (Murao et al., 2014), was RGP-specific, as noted (Figure 2E). Ankrd11, a scaffolding molecule that potentiates Hdac3 signaling (Gallagher et al., 2015), was significantly enriched in the neuronal lineage, and was activated by Tbr1.

Together, these results reveal an important genetic circuit in IPs that regulates layer 5 differentiation. Also, Hdac9 and Hdac5 seem to play similar roles limiting Mef2- and activity-driven gene expression in mature cells, but their expression and regulation in IPs and new PNs suggest they may possibly have distinct functions during neurogenesis. During the IP-PN transition, both Tbr2 and Tbr1 promote the shift from Hdac9 to Hdac5 expression. Tbr2 directly represses Hdac9, while Tbr2 and Tbr1 indirectly potentiate Hdac5 expression, by directly repressing MiR9-2 and thus limiting targeted degradation of Hdac5 by miR-9 (Figure 3H). These findings support our view that Tbr2 drives the transition from IP to PN, while Tbr1 drives PN differentiation (Mihalas et al., 2016; Mihalas and Hevner, 2017).

Trithorax/COMPASS Activating Complexes

Another important category of histone marks consists of lysine methylation (mono-, di-, and trimethylation) and demethylation. The best-known epigenetic systems using these marks are Trithorax/COMPASS complexes, which place H3K4 trimethyl (H3K4me3) and other marks at active promoters; and PRC2, which places repressive H3K27me3 marks that silence chromatin. The PRC2 system is furthermore connected to PRC1, which places another silencing histone mark—monoubiquitylation of H2A on K119 (H2AK119u1)—and functions synergistically with PRC2. In Drosophila, TrxG and Polycomb group (PcG) systems are considered antagonistic; genes marked with both H3K4me3 (activating) and H3K27me3 (repressive) are considered to be in a “bivalent” state, poised for long-term repression or activation. In mammals, the Trithorax and Polycomb systems have become more complex and diverse, with many tissue-specific isoforms and non-canonical subunits. While TrxG genes (as defined by PcG antagonism) also encompass other classes of molecules, such as chromatin remodelers (Schuettengruber et al., 2011; Moccia and Martin, 2018), those other molecules are classified separately for purposes of this article.

Mammalian TrxG H3K4 methyltransferases form complexes known as COMPASS and COMPASS-like, which include core WRAD proteins (Wdr5, Rbbp5, Ash2l, Dpy30) and other subunits (Schuettengruber et al., 2011; Piunti and Shilatifard, 2016). Other TrxG proteins are not H3K4 methyltransferases, but have related functions such as H3K36 methylation (Ash1l), chromatin remodeling, modulation of HATs, and general transcriptional regulation (Schuettengruber et al., 2011). Activating marks placed by TrxG complexes can be reversed by demethylation, for example, by Jarid1b (Kdm5b) and Lsd1 (Kdm1a)—both markers of neuronal differentiation beginning in progenitor zones (Supplementary Table S2).

In the present analysis, both H3K4 methylase and demethylase genes were expressed predominantly in Tbr2-GFP+ cells; none were specifically enriched in RGPs (Figure 4). Among H3K4 methyltransferases, Setd1b was enriched in Tbr2-GFP+ cells (log₂FC = +0.88), and was expressed at highest levels in CP (Figure 4A). Kmt2a (Mll1) was also enriched in Tbr2-GFP+ cells (log₂FC = +1.36), but was not detected on ISH. Likewise, Kmt2c (Mll3) was enriched in Tbr2-GFP+ cells (log₂FC = +1.22), but not detected on ISH. Notably, Kmt2c was directly activated by Tbr1 (Supplementary Table S4), suggesting that Kmt2c (Mll3) is important for PN differentiation. Indeed, mutations in human KMT2C have been linked to intellectual disability (Koemans et al., 2017). Interestingly, Mll3 (Kmt2c) forms COMPASS-like complexes with Utx (Kdm6a), a demethylase that removes repressive H3K27me3 marks placed by PRC2 (Schuettengruber et al., 2011). By directly activating Kmt2c (Mll3) expression, Tbr1 may orchestrate not only the placement of activating H3K4me3 marks by Mll3, but also removal of repressive H3K27me3 marks by Utx.

FIGURE 4

Figure 4. TrxG histone methylation/demethylation EFs. (A–E) Expression of indicated genes. The plus/minus symbol (±) indicates that different probes for the same gene, in this example Kdm5a (E), showed enrichment in both Tbr2-GFP+ and Tbr2-GFP– cells on microarray (conflicted). ISH: Genepaint. Scale bar: 100 μm. (F) Summary of gene expression and regulation. Interestingly, Tbr1 activated both H3K4 methyltransferase (Kmt2c; Mll3) and H3K4 demethylase (Kdm5b; Jarid1b) genes. (G) Expression of Kdm5a (high caudal) was not directly regulated by Pax6, Tbr2, or Tbr1.

Among H3K4 demethylases, Kdm1a (Lsd1) was enriched in Tbr2-GFP+ cells (log₂FC = +1.14), and was directly activated by Tbr2 (Supplementary Tables S2, S4). Functionally, previous studies have found that Lsd1 interacts with CoRest (Rcor1/2), a repressor scaffold protein enriched in aIPs and bIPs (see section Rest and CoRest Complexes, below), to promote a shift from multipolar to bipolar migration (Fuentes et al., 2012). By activating Kdm1a (Lsd1) expression, Tbr2 may drive this change of migration mode. Kdm1b (Lsd2; an H3K4 demethylase) was similarly enriched in Tbr2-GFP+ cells (log₂FC = +1.03), but its expression was not zone-specific on ISH (Figure 4C). Another H3K4 demethylase, Kdm5b (Jarid1b), was enriched in neuronal lineages, and was directly activated by Tbr1 (Figures 4D,F). Thus, Tbr1 drives both deposition and removal of H3K4me3 marks, by activating Kmt2c (Mll3) and Kdm5b (Jarid1b) respectively, to reconfigure the landscape of active promoters in differentiating PNs.

Functionally, Jarid1b (Kdm5b) is necessary to remove inappropriate H3K4me3 marks during development, and thereby deactivate neural progenitor genes such as Pax6 (Albert et al., 2013). Thus, Tbr1-mediated activation of Kdm5b may help block inappropriate Pax6 expression in neurons (Figure 4F). Indeed, Pax6 was upregulated in Tbr1 KO cortex, but not quite significantly (Pax6 log₂FC = +1.05, p = 0.18 on Tbr1 KO MA1; log₂FC = +0.20, p = 0.054 on Tbr1 KO MA2).

Kdm5a (Jarid1a), another H3K4me3 demethylase, was expressed in a regional gradient (high caudal) in the VZ/SVZ (Figure 4E). On microarray, different Kdm5a probes were enriched in Tbr2-GFP+ and GFP⁻ cells (conflicted), so expression of Kdm5a could not be specifically assigned to RGPs or IPs.

Ash1l, an H3K36 methylase that may activate or repress transcription in different contexts (Schuettengruber et al., 2011; Zhu et al., 2016), was highly enriched in aIPs and bIPs (Figure 4B; Supplementary Table S2), but was not regulated by Pax6, Tbr2, or Tbr1.

These results indicate that deposition and removal of TrxG marks are actively regulated by Tbr2 and Tbr1 during neuronal differentiation (Figure 4F). Also, cortical regionalization may be influenced by Jarid1a (Kdm5a), without direct regulation by Pax6, Tbr2, or Tbr1 (Figure 4G).

Polycomb Repressive Complex 2

PcG proteins include components of two distinct complexes, PRC1 and PRC2, which deposit different repressive marks on chromatin (Schuettengruber et al., 2007; Simon and Kingston, 2009; Di Croce and Helin, 2013; Schwartz and Pirrotta, 2013). The marks placed by PRC2 can recruit PRC1, although non-canonical forms of PRC1 also function independently of PRC2 or H3K27me3 (Tavares et al., 2012).

In mammals, a variety of PRC2 complexes with different subunit or isoform composition have been identified (Margueron and Reinberg, 2011). Core PRC2 components include Ezh1 or Ezh2 (methyltransferases), Eed, and Suz12. Canonical PRC2 complexes also contain Rbbp4 or Rbbp7 scaffold proteins. Non-canonical subunits (not found in all PRC2 complexes) can include PCL1-3 proteins (Phf1, Mtf2, Phf19, respectively), and Aebp2 or Jarid2. PRC2 also interacts with or is regulated by other EFs, such as Chd4 (Sparmann et al., 2013) and Chd5 (Egan et al., 2013). The repressive H3K27me3 marks placed by PRC2 can be erased by demethylases Utx (Kdm6a) and Jmjd3 (Kdm6b).

Previously, the PRC2 system has been shown to regulate the timing of neurogenesis in developing neocortex. RGPs lacking Ezh2 undergo accelerated differentiation to produce IPs and neurons, followed by precocious gliogenesis (Pereira et al., 2010). Moreover, Tbr2 and other key IP-genic or neurogenic genes are marked by high levels of H3K27me3 in RGPs, but these repressive PRC2 marks are removed during IP or neuron differentiation (Albert et al., 2017). PRC2 also regulates rostrocaudal patterning of cortex, as Suz12 heterozygous null mice have reduced occipital cortex (Miró et al., 2009).

In the present study (Figure 5), analysis of core PRC2 subunits showed that Ezh2 was widely expressed in developing neocortex, with slight enrichment in Tbr2-GFP+ cells; while Ezh1 was not detectable. In contrast to the widespread expression of Ezh2, the other core PRC2 subunits Suz12 and Eed were expressed almost exclusively in VZ/SVZ, although neither was specifically enriched in Tbr2-GFP+ or GFP– cells. Moreover, both Suz12 (Miró et al., 2009) and Eed (Figure 5G) exhibited high caudal to low rostral gradients within VZ/SVZ.

FIGURE 5

Figure 5. PRC2 complexes. (A–G) Expression of indicated genes. ISH: Genepaint. Scale bar: 100 μm. (H) Summary of subunit gene expression and regulation. (I) Changes in PRC2 subunit expression were associated with PN differentiation, and were regulated by Tbr1/2. Eed and Suz12 subunits were downregulated in differentiating cells (transparent subunits), potentially leading to formation of “non-PRC2” Ezh2 complexes. (J) Graded expression of PRC2 subunits is important in cortex regionalization, but these genes are not under direct control of Pax6, Tbr2, or Tbr1.

The gradient of Suz12 expression has previously been linked to cortical regionalization. In Suz12 heterozygous null mice, occipital cortex was greatly reduced, suggesting that high PRC2 activity instructs occipital identity (Miró et al., 2009). With parallel gradients of core Suz12 and Eed subunit genes, overall PRC2 activity may be steeply graded within the VZ/SVZ. Also, the low levels of Suz12 and Eed expression outside progenitor compartments suggest that PRC2 activity may be essentially limited to the VZ and SVZ.

Other canonical and non-canonical subunits of PRC2 also displayed cell-type-specific or regional expression patterns. Rbbp7 was specifically expressed in RGPs (Figure 5B), while Rbbp4 was enriched in Tbr2-GFP+ cells. Aebp2, encoding a protein that enhances PRC2 activity on PRC1-marked chromatin, was also specifically expressed in RGPs (Figure 5A). In contrast, Jarid2 (jumonji), a non-canonical PRC2 subunit that may inhibit PRC2 activity (Shen et al., 2009), was specifically enriched in bIPs (Figure 5C), and was directly activated by Tbr2 (Supplementary Table S4). Mtf2 (PCL2) was highly enriched in the neuronal lineage (Figure 5D), and was directly activated by Tbr1. Phf19 (PCL3), which targets PRC2 to H3K36me3-marked chromatin, was expressed in a high rostral gradient in VZ/SVZ (counter to Suz12 and Eed). The Phf19 (PCL3) countergradient suggests that not only the abundance of PRC2 complexes, but also the formation of non-canonical PRC2 complexes, are regionally modulated within VZ/SVZ.

H3K27me3 demethylases Utx (Kdm6a; log₂FC = +0.93) and Jmjd3 (Kdm6b; log₂FC = +1.28) were both enriched in the Tbr2-GFP+ PN lineage, but ISH was not available for Kdm6a, and Kdm6b did not exhibit strict zonal expression (Figure 5E). Importantly, Jmjd3 (Kdm6b) interacts with Tbr2 in IPs to derepress neuronal differentiation genes, such as Tbr1 (Sessa et al., 2017). Kdm6a (Utx) was directly repressed by Pax6.

These results suggest that PRC2 complexes undergo extensive subunit switching during differentiation, with overall reduction or loss of canonical PRC2 activity in IPs and neurons (Figures 5H,I). In RGPs, PRC2 likely contains Rbbp7, Aebp2, and PCL3 (Phf19) in addition to core subunits. Outside the proliferative zones, Suz12 and Eed are expressed very little, and PCL2 (Mtf2) is upregulated in neurons by Tbr1, leaving Ezh2 to potentially form non-PRC2 complexes (Schwartz and Pirrotta, 2013). In IPs, PRC2 activity may be actively suppressed by Tbr2-driven expression of Jarid2, an inhibitory subunit (Shen et al., 2009).

Previously, Jarid2 has been associated with Aebp2-containing PRC2 complexes (Schwartz and Pirrotta, 2013; Grijzenhout et al., 2016), but in E14.5 neocortex, Aebp2 and Jarid2 showed virtually non-overlapping expression in RGPs and IPs, respectively (Figures 5A,C). Without Aebp2, Jarid2 can nevertheless form alternative PRC2 complexes (Grijzenhout et al., 2016).

Overall, differentiation of IPs and neurons was associated with upregulation of Kdm6a (Utx) and Kdm6b (Jmjd3), which “unlock” chromatin by remove the H3K27me3 marks placed by PRC2. For regionalization, high canonical PRC2 activity is necessary in caudal VZ/SVZ for occipital cortex identity (Miró et al., 2009), but non-canonical PRC2 is also implicated in regionalization, by the high rostral gradient of Phf19 (PCL3). Despite the important role of PRC2 in regionalization, the subunits with graded expression are not directly regulated by Pax6, Tbr2, or Tbr1 (Figure 5J).

Polycomb Repressive Complex 1

PRC1 catalyzes monoubiquitylation of H2A lysine 119 (H2AK119u1), and drives chromatin compaction (Schuettengruber et al., 2007; Simon and Kingston, 2009; Di Croce and Helin, 2013; Schwartz and Pirrotta, 2013). Core subunits of canonical PRC1 include: Ring1a (Ring1) or Ring1b (Rnf2) E3 ligase; PcG ring finger (Pcgf) 2 or Pcgf4 (Bmi1); chromobox1-8 (Cbx1-8); Hph1-3 (Phc1-3); and substoichiometric amounts of Scm (Scmh1/2) (Margueron and Reinberg, 2011; Gao et al., 2012; Tavares et al., 2012; Di Croce and Helin, 2013; Schwartz and Pirrotta, 2013). The multiple isoforms of each subunit produce diverse canonical PRC1 complexes.

Non-canonical PRC1 complexes contain Rybp or Yaf2 instead of Cbx, and may contain canonical (Pcgf2/4) or non-canonical (Pcgf1/3/5/6) Pcgf proteins (Gao et al., 2012; Gil and O'Loghlen, 2014; Almeida et al., 2017). In developing cortex, a non-canonical PRC1-Auts2 complex has been described (Gao et al., 2014). Composed of Auts2, Ring1b, Pcgf3/5, Rybp, and casein kinase 2 (CK2), PRC1-Auts2 recruits p300 (Ep300), a type-A HAT, to activate (not repress, as usual for PRC1) transcription.

In developing neocortex, PRC1 is thought to regulate the tempo of differentiation, and the balance of neuron subtypes. In Ring1b (Rnf2)-deficient RGPs, neurogenesis is prolonged (Hirabayashi et al., 2009), and Ctip2+ layer 5 neurons are increased at the expense of upper layer neurons due to impaired repression of Fezf2 (Morimoto-Suzki et al., 2014). Non-canonical PRC1-Auts2 complexes are implicated in mouse behavioral development (Gao et al., 2014). In humans, AUTS2 is an important intellectual disability and autism gene (Beunders et al., 2016).

In the present analysis, Rnf2 (Ring1b) appeared to be the predominant E3 ligase in developing neocortex. Rnf2 was enriched in Tbr2-GFP+ cells, and was seen in all zones by ISH, though highest in the VZ (Figure 6A). In contrast, Ring1 (Ring1a) was barely detectable on microarrays and ISH.

FIGURE 6

Figure 6. PRC1 complexes. (A–F) Expression of indicated genes. ISH: Genepaint. Scale bar: 100 μm. (G) Summary of gene expression and regulation. (H) Changes in PRC1 subunit expression, and formation of non-canonical PRC1, were associated with PN differentiation, and were regulated by Pax6 (red dot) and Tbr1 (blue dots). Auts2 was expressed at low levels in VZ/SVZ (transparent Auts2 subunit). (I) Graded expression of Cbx2 (high caudal) was not regulated by Pax6, Tbr2, or Tbr1.

Canonical PRC1 subunits were, for the most part, widely expressed and little regulated by Pax6, Tbr2, or Tbr1. Bmi1 (Pcgf4; Figure 6B) and Pcgf2 were both detected in all zones of neocortex, but highest in VZ. Also, Bmi1 (Pcgf4) was moderately enriched in Tbr2-GFP+ cells, and more highly expressed than Pcgf2. Multiple Cbx genes were expressed in developing neocortex, but none exhibited cell-type specificity. However, Cbx4 was directly activated by Pax6. Since Cbx4 promotes sumoylation of Dnmt3a (Li et al., 2007), the upregulation of Cbx4 by Pax6 may suppress de novo DNA methylation during IP genesis. Cbx2 was expressed in a high caudal gradient in VZ/SVZ (Figures 6F,I). Phc1-3 were enriched in Tbr2-GFP+ cells, but none showed cell-type specificity by ISH. Overall, these findings are consistent with previous studies of PRC1 gene expression in embryonic mouse cortex (Vogel et al., 2006).

Several non-canonical PRC1 subunits exhibited cell-type-specific expression. Pcgf5 was specifically enriched in RGPs (Supplementary Table S2). In contrast, Pcgf3 was expressed mainly in the Tbr2-GFP+ lineage, especially new neurons (Figure 6D). Similarly, the CK2 alpha isoform switched from alpha-2 (Csnk2a2) in progenitors, to alpha-1 in neurons (Csnk2a1). Rybp was highly enriched in aIPs and bIPs (log₂FC = +0.81), and was expressed at lower levels in neurons (Figure 6C). Rybp was also identified as an IP-specific gene in a previous study (Telley et al., 2016). Significantly, Rybp was directly activated by Tbr1 (Supplementary Table S4). Auts2 was enriched in CP neurons (Figure 6E), but was also expressed at lower levels in VZ/SVZ progenitors (Bedogni et al., 2010b). Auts2 was directly activated by Tbr1 and Pax6 (Supplementary Table S4; see also Bedogni et al., 2010a).

These data suggest that canonical PRC1 complexes are present in all types of cortical cells (although most abundant in progenitors), and are minimally regulated by Pax6→ Tbr2→ Tbr1. In contrast, non-canonical PRC1 complexes exhibit differentiation-related changes, such as upregulation of Rybp in IPs and new PNs. Notably, Tbr1 directly activated two non-canonical PRC1 subunits (Rybp, Auts2) implicated in brain development (Gao et al., 2014).

Other Histone Marks and Factors

Kdm4c (Jmjd2c), which encodes an enhancer-associated H3K9 demethylase and scaffold that primes cells for differentiation (Tomaz et al., 2017), was specifically enriched in aIPs and bIPs (Figure 7A; Supplementary Table S2). Setd6, an H2AZK7 methyltransferase that confers repressive histone marks, was specifically enriched in migrating PNs in IZ/CP (Figure 7B; see also Supplementary Figure S1F). Kdm7a (ISH not available) was enriched in Tbr2-GFP+ lineages (log₂FC = +0.55), but was repressed by Tbr2 (Figure 7D; Supplementary Table S4).

FIGURE 7

Figure 7. Other histone marks and EFs. (A–C) Expression of indicated genes. Interestingly, Set6d (B) was specifically and exclusively expressed by PNs in developing forebrain. ISH: Genepaint. Scale bar: 100 μm. (D) Gene expression and regulation. Notably, Pax6 activated Mllt3 to indirectly repress Tbr1.

Mllt3 (Af9), a histone H3K9ac reader, was enriched in neurons of the IZ and CP (Figure 7C). Previously, Af9 has been reported to inhibit deep layer identity by repressing Tbr1 transcription (Büttner et al., 2010). In the present study, we found that Pax6 directly activated Mllt3 (Supplementary Table S4). Since previous studies have also found that Pax6 drives upper layer identity (Schuurmans et al., 2004), it seems plausible that Pax6 indirectly represses Tbr1 by activating high expression of Mllt3 in precursors of upper layer neurons. Thus, Pax6 indirectly activates Tbr1 via Tbr2, and indirectly represses Tbr1 via Mllt3 (Figure 7D).

ATP-Dependent Chromatin Remodeling Complexes

Chromatin remodeling complexes use ATP to modify the positioning, conformation, and isoform composition of histones in nucleosomes—and thereby alter the availability of genes for TF binding (reviewed by López and Wood, 2015; Hota and Bruneau, 2016). These types of complexes contain an Snf2-domain ATPase, along with other proteins that modulate the ATPase activity and confer chromatin target specificity.

In mammals, four main types of chromatin remodeling complexes have been identified: BAF (Brm/Brg1-associated factor), ISWI (Imitation Switch), CHD (chromodomain helicase DNA-binding), and INO80 (inositol auxotrophy 80). The complexes are defined by their ATPase subunits: Brm (Smarca2) or Brg1 (Smarca4) in BAF (Son and Crabtree, 2014; Sokpor et al., 2017); Snf2h (Smarca5) or Snf2l (Smarca1) in ACF/CHRAC and NuRF types of ISWI complexes, respectively (Bao and Shen, 2007; Yadon and Tsukiyama, 2011); Chd1-9 alone or in CHD complexes, such as Chd3/4/5 in NuRD (Sims and Wade, 2011; Basta and Rauchman, 2015); and Ino80, Srcap, or p400 (Ep400) in INO80 complexes (Gerhold and Gasser, 2014; Hota and Bruneau, 2016).

Most chromatin remodeling complexes contain multiple subunits: up to 16 in BAF, 4 in ISWI, 7 in CHD (NuRD), and 15 in INO80 complexes (Hota and Bruneau, 2016). Some subunit isoforms exhibit tissue-specific or differentiation-related expression. For example, BAF complex subunits are extensively switched in cortical differentiation (Son and Crabtree, 2014).

Besides these large complexes, other ATP-dependent chromatin remodelers, such as Atrx (a Snf2-type ATPase and histone reader protein that places H3.3 in heterochromatin) are also implicated in epigenetic regulation of neurodevelopment (Iwase et al., 2017).

ISWI Chromatin Remodeling Complexes

At least eight ISWI complexes have been described in mammals (Goodwin and Picketts, 2017). Furthermore, the ATPase core subunits of ISWI complexes (Snf2h/l) have been shown to be important in brain development. Smarca1 (Snf2l) mutant mice exhibit excessive, prolonged proliferation of cortical progenitors, especially IPs (Yip et al., 2012); while Smarca5 (Snf2h) mutant mice exhibit reduced proliferation, at least in cerebellum (Alvarez-Saavedra et al., 2014).

In the present analysis, of the ATPase subunits, Smarca5 (Snf2h) was expressed in all zones of developing neocortex, with highest levels in VZ/SVZ (Figure 8A), and was overall enriched in neuronal lineages (log₂FC = +0.46). Smarca1 (Snf2l) was expressed in multiple zones, and did not show differential expression on Tbr2-GFP microarray. Thus, both ISWI ATPases were widely expressed in developing neocortex, although Smarca5 (Snf2h) was somewhat higher in progenitors. This interpretation matches a previous description (Lazzaro and Picketts, 2001).

FIGURE 8

Figure 8. ISWI chromatin remodeling complexes. (A–D) Expression of indicated genes. The bilaminar expression of Baz2b (C) in VZ and SVZ is typical of aIP- and bIP-specific genes (Kawaguchi et al., 2008). ISH: Genepaint. Scale bar: 100 μm. (E) Gene expression and regulation. Although Baz2b (C) is an IP marker, it was directly repressed by Tbr2 and Tbr1 (Supplementary Tables S2, S4). (F) NuRF complexes are enriched in RGPs, and NoRC complexes in IPs.

Bptf, an essential core subunit of NuRF (nucleosome-remodeling factor) complexes, was specifically enriched in RGPs (Figure 8B). In addition to Bptf, NuRF contains not only Snf2l (Smarca1), but also either RbAP48 (Rbbp4) or RbAP46 (Rbbp7) (Qiu et al., 2015). Like Bptf, Rbbp7 was specifically expressed in RGPs (Figure 5B). In contrast, Rbbp4 was highly enriched in Tbr2-GFP+ lineages (log₂FC = +1.58). These data suggest that NuRF complexes are restricted to RGPs, and are comprised of Bptf/Snf2l/RbAP46 (Figure 8F). Bptf also interacts with Myc to promote cell cycle progression (Richart et al., 2016).

Baz2b, a reader that binds H3K14ac as part of an unknown ISWI complex (Bortoluzzi et al., 2017), was specifically expressed in aIPs and bIPs, and was directly repressed by Tbr2 and Tbr1 (Figures 8C,E). Baz2a (Tip5), a component of NoRC (nucleolar remodeling complex) in the Snf2h-containing ACF/CHRAC group of ISWI remodelers, was also highly enriched in IPs (Figure 8D). Similarly, Baz1b (Wstf) was expressed at high levels in VZ, and was moderately enriched in the Tbr2-GFP+ lineage (log₂FC = +0.85); thus, WICH complexes (Wstf/Snf2h) may be enriched in progenitors, especially IPs.

Overall, the present analysis suggests that NuRF complexes are specifically present in RGPs, while NoRC complexes are particularly abundant in IPs (Figure 8F). The direct repression of Baz2b by Tbr2 and Tbr1 suggests that downregulation of some ISWI complexes (possibly a Baz2b-containing NoRC variant) is important for differentiation from IPs to PNs.

INO80 Chromatin Remodeling Complexes

Among ATPase subunit genes, Ino80 was detected primarily in VZ, but was not enriched in Tbr2-GFP⁻ or GFP+ lineages (Supplementary Table S3). Ino80b (Ies2), which activates the ATPase activity of Ino80, was specifically expressed in RGPs (log₂FC = −0.45), suggesting that Ino80-containing complexes are enriched and activated in RGPs. The INO80 remodelers are important in DNA replication and repair, as well as transcriptional regulation (Poli et al., 2017), so the enrichment of Ino80 activity in RGPs may be related to high proliferative activity in this cell type.

Srcap and Ep400 (p400) were detected in multiple zones, and were moderately enriched in Tbr2-GFP+ cells (log₂FC = +0.28 for Srcap; +0.76 for Ep400). Most Srcap complex subunits were widely expressed, while several p400 complex subunits, such as Kat5 (Tip60), were relatively enriched in neurons. Pax6, Tbr2, and Tbr1 were not implicated in the regulation of INO80 complex subunits.

Together, these findings suggest that Ino80-containing complexes are specifically active in RGPs, while p400/Tip60 complexes are most active in postmigratory CP neurons. The functions of INO80 complexes in cortical development are unknown.

CHD Chromatin Remodeling Complexes

Among Chd ATPase genes, only Chd7 exhibited cell-type or region-specific expression—indeed, both. Chd7 was enriched in Tbr2-GFP+ cells (log₂FC = +0.80) on microarray, and was expressed specifically in VZ on ISH, identifying Chd7 as a specific marker of aIPs. Within VZ, Chd7 exhibited high caudal expression (Figure 9A), suggesting its involvement in regionalization. Consistent with this possibility, we also found that Chd7 was directly bound and repressed by Pax6 and Tbr2 (Figure 9I; Supplementary Table S4), both of which promote rostral identity. Previous studies suggest that Chd7 binds mainly to enhancers and active transcription start sites, and is essential for activation of neuronal differentiation genes (Moccia and Martin, 2018). Mutations in human CHD7 cause CHARGE syndrome, a complex disorder with significant brain and somatic anomalies (Feng et al., 2017; Moccia and Martin, 2018).

FIGURE 9

Figure 9. CHD chromatin remodeling complexes. (A–F) Expression of indicated genes. ISH: Genepaint (A,C–F) and Allen Brain Atlas Developing Mouse Brain (B). Scale bar: 100 μm. (G) Gene expression and regulation. Notably, Tbr1 and Tbr2 synergistically activate Chd3, a NuRD subunit. (H) CHD complexes in E14.5 neocortex include FACT-Chd1 in RGPs, and NuRD in progenitors (Chd4-containing) and neurons (Chd3/4-containing). (I) Gradient of Chd7 expression (high caudal) is shaped by Pax6 and Tbr2.

Other Chd genes regulated by TFs included Chd1, repressed by Pax6; and Chd3, jointly activated by Tbr1 and Tbr2. Chd1 was not specifically enriched in Tbr2-GFP+ or GFP– lineages, nor was ISH available, so the topography of Chd1 expression is unknown. Chd1 protein recognizes H3K4me3 marks (active promoters) and globally activates transcription (Guzman-Ayala et al., 2015). Also, Chd1 interacts with FACT complex (Ssrp1 and Supt16) at centromeres to facilitate histone exchange (Okada et al., 2009). Of the FACT subunits, Ssrp1 was RGP-specific (Figure 9B), while Supt16 was widely expressed. These data suggest that FACT-Chd1 complexes may be abundant in RGPs, but downregulated in IPs, in part by Pax6 repression of Chd1 (Figures 9G,H).

Chd3 (Figure 9C), directly activated by Tbr1 and Tbr2, encodes a core component of NuRD (nucleosome remodeling deacetylase) complexes. Other core Chd subunits in NuRD include Chd4 (Figure 9D) or Chd5 (mutually exclusive alternatives). NuRD complexes have at least six subunits, each of which has multiple alternatives or isoforms: Chd3-5, Hdac1/2; Mbd2/3; Mta1-3; Gatad2a/b; and Rbbp4/7 (Basta and Rauchman, 2015). Recent studies suggest that NuRD complexes are comprised of different Chd proteins during different stages of differentiation (Nitarska et al., 2016). In RGPs, NuRD was found to contain Chd4, Mta2, and Hdac2; in neurons, Chd4 was replaced by Chd3 and Chd5 (Nitarska et al., 2016). Also, NuRD was recently found to interact with Lhx2 to repress layer 5 genes (Muralidharan et al., 2017). Functionally, loss of NuRD components Mbd3 (Knock et al., 2015) or Chd4 (Nitarska et al., 2016) cause similar defects of RGP proliferation, leading to reduced IP genesis and thinner cortex. Such phenotypes are consistent with the general function of NuRD complexes in cell cycle progression (Basta and Rauchman, 2015), but much remains to be learned about the control of PN differentiation by NuRD.

Direct activation of Chd3 by Tbr2 and Tbr1 supports the conclusion that Chd3 expression increases with neuronal differentiation. In the present analysis, Chd4 was not, however, specifically enriched in RGPs as previously suggested (Nitarska et al., 2016). Rather, Chd4 exhibited widespread expression in cortical zones, and Chd4 was (like Chd3) enriched in Tbr2-GFP+ cells on microarray (Figures 9C,D), while Chd5 was essentially undetectable. These data suggest that in RGPs, NuRD complexes contain mainly Chd4, while in neurons, NuRD complexes contain both Chd3 and Chd4 (Figure 9H).

Most other NuRD subunits did not exhibit cell-type-specific expression, but a few did. As noted above, Mbd2 was specifically enriched in Tbr2-GFP⁻ cells (likely RGPs; ISH not informative), and was directly repressed by Tbr2 (Figure 2E; Supplementary Tables S3, S4). In contrast, Mbd3 was widely expressed (Figure 9E). Rbbp7 was specifically expressed in RGPs (Figure 5B), while Rbbp4 was primarily enriched in neuron lineages (see also sections on Rbbp4/7 in PRC2 and NuRF complexes). Hdac1 was expressed in all zones but enriched in VZ/SVZ, while Hdac2 was moderately enriched in neurons (Figure 3F). Mta1/2 were widely expressed, while Mta3 was essentially undetectable. Gatad2a/b were both enriched in Tbr2-GFP+ cells, and Gatad2a was widely expressed on ISH, but Gatad2b ISH was not available. Ctbp2, a NuRD partner that targets it to active genes that require silencing during differentiation (Kim et al., 2015), was directly activated by Tbr2 and Tbr1 (Figures 9F,G).

Overall, these findings suggest that NuRD subunit composition and silencing activity are modulated during differentiation from RGPs to neurons. These changes are driven in part by Tbr2 and Tbr1 (Figures 9G,H). Also, the graded expression of Chd7, and its repression by Pax6 and Tbr2, implicate Chd7 in cortical regionalization (Figure 9I), although further studies will be necessary to substantiate this role.

BAF Chromatin Remodeling Complexes

Among EFs with documented importance in cortical development, the BAF chromatin remodeling complex plays a well-established role in regulating cerebral cortex size and function (Narayanan et al., 2015; Sokpor et al., 2017). Moreover, BAF subunit switching occurs at specific stages of neuronal differentiation (Son and Crabtree, 2014). The BAF complex is important for human brain development, as genetic defects of BAF subunits, such as Baf250b (Arid1b), cause Coffin-Siris syndrome, a microcephaly disorder with intellectual disability (Son and Crabtree, 2014).

Conserved subunits of BAF between yeast and mice include a core ATPase, consisting of either Brm (Smarca2) or Brg1 (Smarca4); Baf155/170 (Smarcc1/2); Baf60a-c (Smarcd1-3); Baf53a/b (Actl6a/b); and Baf47 (Smarcb1). In addition, mammalian BAF complexes contain ≥10 other subunits, such as Baf250a/b (Arid1a/b) (Son and Crabtree, 2014; Hota and Bruneau, 2016).

In cortical development, BAF has been shown to exchange four subunits during differentiation from progenitors to neurons (Son and Crabtree, 2014). Neural progenitor BAF (npBAF) contains Baf53a (Actl6a), Ss18, and Baf45a/d (Phf10/Dpf2); in neuronal BAF (nBAF), these subunits are replaced with Baf53b (Actl6b), Crest (Ss18l1), and Baf45b/c (Dpf1/3), respectively. Interestingly, the shift from Baf53a (Actl6a) to Baf53b (Actl6b) is driven by microRNA (miR)-9* and miR-124, which target Actl6a (Baf53a) for degradation (Son and Crabtree, 2014). In the section on ncRNA, we show that Mir9-2 (encoding miR-9*) is directly repressed by Tbr2 and Tbr1.

The present analysis confirmed previously described BAF subunit switching, and found multiple additional subunits that switch during differentiation (Figure 10). Of the core ATPase subunits, Smarca4 (Brg1) was ubiquitous, but Smarca2 (Brm) was specifically expressed by postmigratory PNs (Figures 10A,B). Smarca2 also displayed a high rostral gradient, and was directly activated by Pax6. Among the other core subunits, Smarcd1 (Baf60a) was ubiquitously expressed, while Smarcd3 (Baf60c) was enriched in the CP (Figure 10C), and was directly activated by Tbr2 (Figure 10J). Similarly, Smarcc1 (Baf155) was ubiquitously expressed, while Smarcc2 (Baf170) was abundant in CP (Supplementary Table S3). Previously, Baf170 (Smarcc2) has been linked to repression of IP genesis and neurogenesis (Tuoc et al., 2013).

FIGURE 10

Figure 10. BAF chromatin remodeling complexes. (A–I) Expression of indicated genes. Remarkably, Smarca2 (Brm; B) was specifically expressed by postmitotic PNs in the CP, with a high rostral gradient. ISH: Genepaint. Scale bar: 100 μm. (J) Summary of gene expression and regulation. (K) BAF subunit switching was controlled by Pax6 (red dots), Tbr2 (green dots), and Tbr1 (blue dots). Asterisks: previously described switches in BAF subunit composition, confirmed here. (L) Smarca2 (high rostral in CP) and Bcl11a (high caudal in IZ/CP) were both directly activated by Pax6, reflecting multiple functions of Pax6 in cortical development (see text for details).

The previously described (Son and Crabtree, 2014) shift from Actl6a (Baf53a) to Actl6b (Baf53b) was confirmed on ISH (Figures 10E,F), although enrichment of Actl6a in Tbr2-GFP+ cells (log₂FC = +0.55) suggested that Actl6a was expressed in not only RGPs, but also IPs. Likewise, npBAF subunits Phf10 (Baf45a) and Dpf2 (Baf45d) were highly expressed in VZ/SVZ (Figures 10G,H), while nBAF subunits Dpf1/3 (Baf45b/c) were highly expressed in IZ/CP. Upregulation of Dpf3 (Baf45c) in differentiating neurons was directly activated by Tbr1 and Tbr2.

Among the newly observed subunit exchanges, Bcl7c (Baf40c) was specifically expressed in RGPs (log₂FC = −1.07), while Bcl7a (Baf40a) was enriched in IPs and neurons (log₂FC = +1.32). These findings define Baf40c and Baf40a as components of npBAF and nBAF, respectively (Figure 10I; Supplementary Table S2). Moreover, Bcl7a expression was directly activated by Tbr2.

Mammalian BAF complexes are sometimes categorized by Baf250 isoform, as Baf250a- (BAF-A) and BAF250b-containing (BAF-B) complexes (Hota and Bruneau, 2016). We observed that Arid1a (Baf250a) was ubiquitously expressed, while Arid1b (Baf250b) was enriched in the CP (Figure 10D), and was directly activated by Tbr1 (Supplementary Table S4). These results suggest that BAF-A predominates in progenitors, while cortical PNs express BAF-A and BAF-B complexes, the latter driven by Tbr1-mediated activation of Arid1b.

A special type of BAF complex, called Polybromo-associated BAF (PBAF), is formed by the incorporation of four specific subunits in Brg1 (Smarca4)-containing BAF: Baf180 (Pbrm1), Baf200 (Arid2), Baf45a (Phf10), and Brd7 (St. Pierre and Kadoch, 2017). These genes were generally enriched in progenitor zones (VZ/SVZ) relative to IZ/CP, and were moderately enriched in Tbr2-GFP+ cells (Supplementary Table S3). Thus, PBAF may be most abundant in progenitor cells, and decline with PN differentiation. The upregulation of Smarca2 (Brm) in PNs (Figure 10B) may further diminish the overall formation of PBAF complexes.

Ctip1/Baf100a (Bcl11a) and Ctip2/Baf100b (Bcl11b) are BAF subunit TFs with major roles in PN differentiation and regionalization (Arlotta et al., 2005; Wiegreffe et al., 2015; Greig et al., 2016; Woodworth et al., 2016). Both Bcl11a (log₂FC = +1.50) and Bcl11b (log₂FC = +1.75) were highly enriched in the Tbr2-GFP+ lineage, and both were expressed predominantly in neuronal differentiation zones. Additionally, Bcl11a was expressed in a high caudal gradient, as described (Greig et al., 2016). We found that Pax6 directly activated expression of Bcl11a, while Tbr2 and Tbr1 directly activated Bcl11b (Figures 10J,K). The activation of Bcl11a by Pax6 suggests that Pax6 drives Bcl11a as part of the programs for neuron migration (Wiegreffe et al., 2015) and subtype specification (Woodworth et al., 2016); the high-caudal Bcl11a gradient runs counter to Pax6 and is presumably shaped by other TFs.

The present results indicate that the subunit composition of BAF complexes is highly regulated in cortical PN differentiation; and that the Pax6→ Tbr2→ Tbr1 cascade is responsible for activation of many BAF subunit genes in IPs and neurons, as well as the activation of Smarca2 in a high rostral gradient (Figures 10J–L). Interestingly, Pax6, Tbr2, and Tbr1 did not directly repress any npBAF subunit genes. Recently, BAF complexes were reported to interact with Utx (Kdm6a) and Jmjd3 (Kdm6b), and potentiate their H3K27me3 demethylase activity (Narayanan et al., 2015). Thus, the Pax6→ Tbr2→ Tbr1 cascade drives the formation of two complexes that recruit H3K27me3 demethylases: BAF (Narayanan et al., 2015) and Mll3/COMPASS-like (Schuettengruber et al., 2011).

Rest and CoRest Complexes

A longstanding paradigm of TF-EF interactions is the recruitment of Hdac1/2 by Rest (repressor element-1 silencing TF) to prevent neuronal differentiation (Qureshi et al., 2010). Seminal research showed that Rest binds specific DNA sequences, and recruits corepressor scaffold proteins (CoRest, Sin3) that also bind class I HDACs (Hdac1/2), to silence neuronal genes (Ballas et al., 2001; Lunyak et al., 2002). Complicating the picture, two isoforms of CoRest (Rcor1/2) have been distinguished, and other CoRest interactions and functions have been discovered (Ooi and Wood, 2007; Qureshi et al., 2010). In developing neocortex, Rcor1/2 have been implicated in neuron subtype specification (Abrajano et al., 2009) and migration (Fuentes et al., 2012). Some functions of CoRest appear to be mediated by novel complexes with Lsd1 (Kdm1a; Fuentes et al., 2012) and Insm1 (Monaghan et al., 2017). The Rcor/Insm1 complex promotes neuronal differentiation, and immature progenitors accumulate in the absence of Rcor1/2 (Monaghan et al., 2017).

In the present analysis (Figure 11), Rest was specifically expressed in RGPs (Figure 11A), consistent with its established function of suppressing neuronal differentiation. Of corepressors, Sin3a and Rcor1 were expressed mainly in VZ (and Rcor1 was enriched in Tbr2-GFP+ cells), while Rcor2 was expressed mainly in SVZ/IZ and inner VZ (Figures 11B,D,E). The enrichment of Rcor2 in Tbr2-GFP+ cells (log₂FC = +1.94), together with its bilaminar expression pattern in VZ and SVZ (Figure 11E), indicated specific enrichment in aIPs and bIPs (Supplementary Table S2). Of the interacting HDACs, Hdac1 was expressed at highest levels in the VZ (Figure 11C), while Hdac2 was expressed mainly in IZ/CP, and was enriched in Tbr2-GFP+ cells (Figure 3F). Thus, Rest/CoRest complexes form predominantly in RGPs, where Rest recruits mainly Sin3a and Hdac1, and possibly Rcor1 (Figure 11H). Interestingly, one function of Rest is to repress miR-9* and miR-124 (Yoo et al., 2009); as shown below in the section on ncRNA, miR-9* is also repressed by Tbr1 and Tbr2.

FIGURE 11

Figure 11. Rest and CoRest complexes. (A–F) Expression of indicated genes. While Rest (A) was specifically expressed in RGPs, CoRest genes Rcor1 (D) and Rcor2 (E) were enriched in IPs, as was Insm1 (F). ISH: Genepaint. Scale bar: 100 μm. (G) Summary of gene expression and regulation. Interestingly, Tbr2 activated Kdm1a (Lsd1) but repressed Insm1; both are CoRest (Rcor1/2) binding partners. Pax6 also repressed Insm1. (H) Rest/CoRest complexes form in RGPs, while Insm1/CoRest and Lsd1/CoRest complexes form primarily in IPs. (I) Repression of Insm1 by the Pax6→ Tbr2→ Tbr1 cascade. Like Pax6 and Tbr2, Insm1 is a key regulator of IPs (Farkas et al., 2008). The Tbr2 loop is shown in gray to reflect unknown effect of Tbr2 on its own transcription.

Of other proposed Rcor1/2-interacting factors, Kdm1a (Lsd1) was ubiquitously expressed (Fuentes et al., 2012) and was enriched in Tbr2-GFP+ cells (log₂FC = +1.14). Also, Kdm1a (Lsd1) was directly bound and activated byTbr2 (Figure 11G). Insm1 was expressed mainly in VZ and SVZ (Figure 11F), and was also highly enriched in Tbr2-GFP+ cells (log₂FC = +1.16). In contrast to Kdm1a (Lsd1), which was activated by Tbr2, Insm1 was repressed by both Tbr2 and Pax6 (Figure 11G; Supplementary Table S4). These results suggest that Pax6 and Tbr2 promote the formation of Rcor/Lsd1 complexes regulating PN migration, but suppress IP-genic Rcor/Insm1 complexes (Figures 11G,H).

Importantly, Insm1 has previously been implicated in the genesis of IPs: Insm1 null mice have decreased IP abundance, and reduced Tbr2 expression (Farkas et al., 2008). One function of Insm1 is to promote the delamination of cortical progenitors, by directly repressing Plekha7 (Tavano et al., 2018). Since Insm1 is thought to be a transcriptional repressor, and directly represses Rest (Monaghan et al., 2017), it seems unlikely that Insm1 directly activates Tbr2. Nevertheless, Insm1 is an integral component of the TF network regulated by Pax6→ Tbr2→ Tbr1 (Figure 11I).

Non-coding RNA-Mediated Epigenetic Regulation

Many ncRNA species regulate the expression of target genes at transcriptional or post-transcriptional levels. One well-known example of the former is Xist, a long (>200 nt) ncRNA (lncRNA) that binds chromatin to mediate X-inactivation (Almeida et al., 2017). Typically, microRNAs (miRs) target specific mRNAs for degradation (Hsieh and Zhao, 2016; Yao et al., 2016).

Previous studies of developing neocortex have shown that miRs in the miR-17-92 cluster prevent the transition from RGPs to IPs, in part by targeting Tbr2 and Cdkn1a (p21) (Bian et al., 2013; Chen et al., 2014). Within the cluster, miR-92a was found to target Tbr2 (Bian et al., 2013). Genesis of IPs was likewise found to be limited by miR-92b (Nowakowski et al., 2013). Conversely, miR-7 promotes IP genesis (Pollock et al., 2014). As noted above, miR-9* and miR-124 target Actl6a (Baf53a) to promote BAF subunit switching, and are themselves repressed by Rest (Figure 12G; Son and Crabtree, 2014). Additionally, miR-9 and miR-124 target Hdac5 for degradation (Figure 3H), and thus control neuritogenesis (Gu et al., 2018).

FIGURE 12

Figure 12. Non-coding RNA. (A–F) Expression of indicated genes. Remarkably, several lncRNA genes (A–D) showed similar expression patterns in bIPs and/or new neurons in SVZ/IZ. ISH: Genepaint. Scale bar: 100 μm. (G) Summary of ncRNA gene expression and regulation. (H) Expression of Mir99ahg (high rostral) was not regulated by Pax6, Tbr2, or Tbr1; but may shape the high caudal gradient of its target, Fgfr3 (not shown). See text for details.

In the present analysis (Figure 12), three lncRNAs showed zonal expression restricted to the SVZ, and enrichment in Tbr2-GFP+ cells consistent with specific expression in bIPs: A330008L17Rik (log2FC = +2.40), 9630028B13Rik (log₂FC n.a.), and A930024E05Rik (log₂FC = +1.97) (Figures 12A–C; Supplementary Table S2). An additional lncRNA, Dubr (log₂FC = +1.77), was similarly expressed in SVZ/IZ, consistent with bIPs and new PNs (Figure 12D). AI504432 (log₂FC = +0.91), a lncRNA expressed specifically in bIPs with a high lateral gradient (Kawaguchi et al., 2008), was directly activated by Tbr2 and Tbr1. Similarly, lncRNA 4833418N02Rik was significantly enriched in the Tbr2-GFP+ lineage, and was directly activated by Tbr1. Expression of lncRNA Gm20735 was jointly activated by Tbr2 and Tbr1 (Figure 12G; Supplementary Table S4). Functions of these lncRNAs in cortical development are unknown, although some have been associated with different cortical neuron subtype fates, such as A330008L17Rik in PNs projecting axons to subcortical targets (Molyneaux et al., 2015).

Among miR genes, Mir17hg was highly enriched in Tbr2-GFP+ cells (log₂FC = +1.96), and was localized in the inner VZ (Bian et al., 2013), suggesting that Mir17hg is specifically expressed by aIPs (Supplementary Table S2). Possibly, miR-17 expression in aIPs limits IP proliferation (Bian et al., 2013). Mir9-2, encoding miR-9/9*, was directly repressed by Tbr2 and Tbr1, suggesting that downregulation of these miRs may be important for PN differentiation (Figure 12G). In contrast, Mir124a-1hg (log₂FC = +0.82) was highly expressed in new neurons of the IZ and CP (Figure 12E), suggesting it is necessary for neuron differentiation. One intriguing novel observation was a high rostral gradient of Mir99ahg in VZ/SVZ (Figure 12F). Significantly, miR-99 has been reported to target Fgfr3 (Jiang et al., 2014), which is expressed in a high caudal gradient and regulates growth of occipitotemporal cortex (Hevner, 2005; Thomson et al., 2009). Thus, miR-99 may shape the Fgfr3 gradient, and thereby regulate regional identity.

Together, these findings indicate that several lncRNAs are specifically expressed at high levels in IPs and new PNs, and that several miR genes are expressed with cellular or regional specificity. The gradient of Mir99ahg, and its possible targeting Fgfr3, suggest a new role for miR in cortical patterning. Finally, their direct regulation by Tbr2 and Tbr1 suggests that lncRNA and miR genes have significant functions in cortical development (Figure 12G).

Neurodevelopmental Processes Controlled by EFs and Regulated by Pax6, Tbr2, and Tbr1

The major findings from our analysis, summarized in Table 1, indicate that all kinds of EFs exhibit cell type-specific expression, and many EFs are regulated by Pax6, Tbr2, and/or Tbr1. These results implicate EFs in regulating cortical development at every stage of differentiation. Together with available functional information, our findings show that Pax6, Tbr2, and Tbr1 use transcriptional regulation of EF genes to modulate many important processes, notably IP genesis, laminar identity, and rostrocaudal regionalization of neocortex.

TABLE 1

Table 1. Summary of differentiation-related EF gene expression and regulation by TFs.

Regulation of IP Genesis

Previous studies have found that Pax6, Insm1, and Tbr2 each play distinct roles in IP genesis (Figure 13A). In Pax6 null embryos, basal progenitors divide in the SVZ but do not express Tbr2, because Pax6 is required for Tbr2 activation (Quinn et al., 2007). Insm1 mutants exhibit severe reduction (~50%) of basal IPs with proportionately decreased Tbr2 expression (Farkas et al., 2008).

FIGURE 13

Figure 13. Cortex-specific neurodevelopmental processes regulated by EFs under the control of Pax6, Tbr2, and Tbr1. (A) IP genesis is reportedly regulated by multiple EFs, as well as TFs such as Pax6 and Insm1. Tbr2 directly represses IP-genic factors. Arrows: (B) Differentiation of all cortical layers is regulated by interacting EFs and TFs. SP: subplate. (C) Rostrocaudal regionalization is extensively regulated by TFs and EFs in an expansive gene regulatory network. Pax6 and Tbr2 regulate several regionally graded EF genes (italic), which are components of several different epigenetic complexes or systems (bold). Abbreviations: dm, demethylation; others as in text. Lines indicate zonal separation of IZ/CP above, and VZ/SVZ below. Arrows indicate direct transcriptional activation; bars, repression.

In Tbr2 cKO embryos, conflicting phenotypes have been reported. In studies using Foxg1-Cre recombinase, Tbr2 inactivation caused ~75% reduction of basal IPs (Sessa et al., 2008). However, Foxg1-Cre heterozygosity itself causes ~38% IP deficiency (Siegenthaler et al., 2008), making Foxg1-Cre a sensitized, anomalous background. In contrast, Tbr2 cKO mice produced with Nes11-Cre have normal or increased numbers of bIPs, which migrate into the IZ and divide ectopically (Mihalas et al., 2016). Importantly, Nes11-Cre is a transgene that does not interfere with cortical development. Thus, the data suggest that Insm1 and Pax6 promote IP genesis and differentiation, respectively; while Tbr2 promotes the transition from IP to PN, in part by repressing IP genes (Figure 11I).

Previously, many EFs have also been implicated in controlling IP genesis (Figure 13A). Among these, Kat6b (Morf, querkopf) was directly repressed by Tbr2 (Figure 3H; Supplementary Table S4). Morf (Kat6b) is a MYST family HAT that activates gene expression, and is required for forebrain growth (Thomas et al., 2000). It is unknown if IPs are reduced in Kat6b (Morf) deficient embryos, but deficiency of the MYST coactivator, Brpf1, has been found to reduce IP genesis and cortical growth (You et al., 2015). These findings indicate that Tbr2 is required to repress IP-genic EF (Kat6b) and TF (Pax6, Insm1) genes in IPs (Figure 13A).

Laminar Fate

Previous studies have suggested that Pax6 promotes upper layer identity (Schuurmans et al., 2004); Tbr2 suppresses layer 5 identity (Mihalas et al., 2016); and Tbr1 promotes subplate and layer 6 identity (Hevner et al., 2001). Many EFs are also known to regulate laminar identity, and some are regulated by the Pax6→ Tbr2→ Tbr1 cascade (Figure 13B).

The present analysis found that Pax6 directly activated Mllt3 (Af9), a YEATS domain acetylation reader that directly mediates Tbr1 repression for upper layer identity (Büttner et al., 2010). Thus, Pax6 may promote upper layer identity in part by repressing lower layer identity. Paradoxically, Pax6 activates Tbr1 indirectly (via Tbr2) to promote PN differentiation (Figure 11I), but also represses Tbr1 indirectly (via Mllt3) to control laminar identity (Figure 13B).

Tbr2 may suppress layer 5 differentiation in part by directly repressing expression of Kat6b (Morf), a MYST family HAT that promotes layer 5 differentiation, as well as cortical growth (Thomas et al., 2000). In Tbr2 cKO cortex, upregulation of Kat6b (log₂FC = +0.18; p = 0.005) was associated with increased abundance of layer 5 neurons (Mihalas et al., 2016). The involvement of Morf (Kat6b) in layer 5 differentiation is supported by the phenotype of Brpf1 mutant mice: Brpf1 is an activator of Morf (Kat6b), and Brpf1 mutants have prominent layer 5 defects (You et al., 2015).

Rostrocaudal Regionalization

The cerebral cortex is patterned by molecular expression gradients that confer different properties on cortical cells, according to their rostrocaudal and mediolateral coordinates (O'Leary et al., 2007). As part of this system, Pax6, Tbr2, and Tbr1 regulate molecular gradients at each stage of differentiation from RGPs→ IPs→ PNs (Bishop et al., 2000; Bedogni et al., 2010a; Elsen et al., 2013; Mihalas and Hevner, 2017). In the present study, many EFs that are expressed in rostrocaudal gradients were identified, including some that are directly regulated by Pax6 and Tbr2 (Figure 13C).

Both Pax6 and Tbr2 directly repressed two EF genes with high caudal gradients in VZ/SVZ: Gadd45g and Chd7 (Figure 13C). These findings suggest that Pax6 and Tbr2 shape the Gadd45g and Chd7 gradients. However, the roles of Gadd45g and Chd7 in cortical regionalization remain unknown.

Interestingly, Pax6 directly activated the expression of BAF subunits Smarca2 (Brm) and Bcl11a (Ctip1), in CP and IZ/CP respectively (Figure 13C). Since Pax6 is not expressed in IZ/CP, its ability to activate Smarca2 and Bcl11a may depend on epigenetic mechanisms, such that Pax6 “unlocks” these genes in neurogenic progenitors, making them available for activation in PNs. The dependence of Bcl11a, a caudal enriched gene, on Pax6, a rostral enriched TF, suggests that while Pax6 may be necessary to unlock Bcl11a, Pax6 probably does not drive the Bcl11a gradient. While Smarca2 has no known role in cortical regionalization, Bcl11a has been implicated in the acquisition of sensory cortex identity (Greig et al., 2016).

Although Mir99ahg was not directly regulated by Pax6→ Tbr2→ Tbr1, its high rostral expression gradient in the VZ (Figure 12F) was noteworthy because miR-99 targets Fgfr3 (Jiang et al., 2014), which is expressed in a high caudal gradient and promotes growth of occipitotemporal cortex (Hevner, 2005; Thomson et al., 2009). Also, canonical PRC2 complexes play an important role in promoting occipital identity with high caudal gradients of Suz12 and Eed (Figure 5J), but these PRC2 core genes were, in our analysis, not directly regulated by Pax6→ Tbr2→ Tbr1 (Figure 13C).

Coordinate Regulation of Cortical Development by TFs and EFs

The present study demonstrates that many types of EFs are direct targets of gene activation or repression by Pax6, Tbr2, or Tbr1 (Table 1). In many examples, the regulation of EFs by TFs was robust and affected multiple elements in an epigenetic system or signaling pathway. For example, Pax6, Tbr2, and Tbr1 activated multiple BAF subunit genes, to effect subunit switching and neuronal differentiation (Figure 10). In another example, Tbr1 activated non-canonical PRC1 subunits (Rybp, Auts2) in PNs (Figure 6). Also, many HATs and HDACs were regulated by this TF cascade (Figure 3). Overall, our results indicate that Pax6, Tbr2, and Tbr1 utilize EFs to modulate neurodevelopmental processes such as IP genesis, laminar fate acquisition, and regional identity (Figure 13). The Pax6→ Tbr2→ Tbr1 cascade itself emerges as a complex network with feedforward and feedback regulation (Figure 1B).

Epigenetic mechanisms appear well-suited to regulation of regional and laminar identity, persistent phenotypes that are initially determined in progenitor cells, then propagated into IPs and finally, new PNs. For example, the cortical “protomap” is initially specified in RGPs, then propagated into IPs and PNs, where regional identity continues to be refined (Bedogni et al., 2010a; Elsen et al., 2013; Alfano et al., 2014).

Besides EFs, other target genes regulated by Pax6, Tbr2, and Tbr1 can be identified using the same approach, and are currently under analysis. Through these studies, it will be possible to comprehensively profile gene expression by RGPs, IPs, and PNs; and to better understand how Pax6, Tbr2, and Tbr1 control the genesis of cortical PNs.

Author Contributions

GE designed and conducted experiments, produced new microarray data from Tbr1/2 mutant embryos, analyzed results, and wrote the manuscript. FB and RH produced microarray data. TB and JM analyzed data from microarray and ChIP-seq experiments. SL and JR produced and analyzed Pax6 ChIP-seq data. RH designed experiments, analyzed data, and wrote the manuscript.

Funding

Supported by research grants from NINDS to RH (R01 NS092339, R01 NS085081) and to JR (R01 NS34661); and by grants from the Lejeune Foundation, Umberto Veronesi Foundation, and ProRett Italia to FB.

Conflict of Interest Statement

JR is cofounder, stockholder, and currently on the scientific board of Neurona, a company studying the potential therapeutic use of interneuron transplantation.

The remaining 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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnins.2018.00571/full#supplementary-material

References

Abrajano, J. J., Qureshi, I. A., Gokhan, S., Zheng, D., Bergman, A., and Mehler, M. F. (2009). REST and CoREST modulate neuronal subtype specification, maturation and maintenance. PLoS ONE 4:e7936. doi: 10.1371/journal.pone.0007936

PubMed Abstract | CrossRef Full Text | Google Scholar

Albert, M., Kalebic, N., Florio, M., Lakshmanaperumal, N., Haffner, C., Brandl, H., et al. (2017). Epigenome profiling and editing of neocortical progenitor cells during development. EMBO J. 36, 2642–2658. doi: 10.15252/embj.201796764

PubMed Abstract | CrossRef Full Text | Google Scholar

Albert, M., Schmitz, S. U., Kooistra, S. M., Malatesta, M., Morales Torres, C., Rekling, J. C., et al. (2013). The histone demethylase Jarid1b ensures faithful mouse development by protecting developmental genes from aberrant H3K4me3. PLoS Genet. 9:e1003461. doi: 10.1371/journal.pgen.1003461

PubMed Abstract | CrossRef Full Text | Google Scholar

Alfano, C., Magrinelli, E., Harb, K., Hevner, R. F., and Studer, M. (2014). Postmitotic control of sensory area specification during neocortical development. Nat. Commun. 5:5632. doi: 10.1038/ncomms6632

PubMed Abstract | CrossRef Full Text | Google Scholar

Allis, C. D., and Jenuwein, T. (2016). The molecular hallmarks of epigenetic control. Nat. Rev. Genet. 17, 487–500. doi: 10.1038/nrg.2016.59

PubMed Abstract | CrossRef Full Text | Google Scholar

Almeida, M., Pintacuda, G., Masui, O., Koseki, Y., Gdula, M., Cerase, A., et al. (2017). PCGF3/5-PRC1 initiates Polycomb recruitment in X chromosome inactivation. Science 356, 1081–1084. doi: 10.1126/science.aal2512

PubMed Abstract | CrossRef Full Text | Google Scholar

Alvarez-Saavedra, M., De Repentigny, Y., Lagali, P. S., Raghu Ram, E. V., Yan, K., Hashem, E., et al. (2014). Snf2h-mediated chromatin organization and histone H1 dynamics govern cerebellar morphogenesis and neural maturation. Nat. Commun. 5:4181. doi: 10.1038/ncomms5181

PubMed Abstract | CrossRef Full Text | Google Scholar

Arlotta, P., Molyneaux, B. J., Chen, J., Inoue, J., Kominami, R., and Macklis, J. D. (2005). Neuronal subtype-specific genes that control corticospinal motor neuron development in vivo. Neuron 45, 207–221. doi: 10.1016/j.neuron.2004.12.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Ayoub, A. E., Oh, S., Xie, Y., Leng, J., Cotney, J., Dominguez, M. H., et al. (2011). Transcriptional programs in transient embryonic zones of the cerebral cortex defined by high-resolution mRNA sequencing. Proc. Natl. Acad. Sci. U.S.A. 108, 14950–14955. doi: 10.1073/pnas.1112213108

PubMed Abstract | CrossRef Full Text | Google Scholar

Ballas, N., Battaglioli, E., Atouf, F., Andres, M. E., Chenoweth, J., Anderson, M. E., et al. (2001). Regulation of neuronal traits by a novel transcriptional complex. Neuron 31, 353–365. doi: 10.1016/S0896-6273(01)00371-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Bannister, A. J., and Kouzarides, T. (2011). Regulation of chromatin by histone modifications. Cell Res. 21, 381–395. doi: 10.1038/cr.2011.22

PubMed Abstract | CrossRef Full Text | Google Scholar

Bao, Y., and Shen, X. (2007). SnapShot: chromatin remodeling complexes. Cell 129:632. doi: 10.1016/j.cell.2007.04.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Basta, J., and Rauchman, M. (2015). The nucleosome remodeling and deacetylase complex in development and disease. Transl. Res. 165, 36–47. doi: 10.1016/j.trsl.2014.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Bedogni, F., Hodge, R. D., Elsen, G. E., Nelson, B. R., Daza, R. A., Beyer, R. P., et al. (2010a). Tbr1 regulates regional and laminar identity of postmitotic neurons in developing neocortex. Proc. Natl. Acad. Sci. U.S.A. 107, 13129–13134. doi: 10.1073/pnas.1002285107

PubMed Abstract | CrossRef Full Text | Google Scholar

Bedogni, F., Hodge, R. D., Nelson, B. R., Frederick, E. A., Shiba, N., Daza, R. A., et al. (2010b). Autism susceptibility candidate 2 (Auts2) encodes a nuclear protein expressed in developing brain regions implicated in autism neuropathology. Gene Expr. Patterns 10, 9–15. doi: 10.1016/j.gep.2009.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Bernstein, B. E., Meissner, A., and Lander, E. S. (2007). The mammalian epigenome. Cell 128, 669–681. doi: 10.1016/j.cell.2007.01.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Beunders, G., van de Kamp, J., Vasudevan, P., Morton, J., Smets, K., Kleefstra, T., et al. (2016). A detailed clinical analysis of 13 patients with AUTS2 syndrome further delineates the phenotypic spectrum and underscores the behavioural phenotype. J. Med. Genet. 53, 523–532. doi: 10.1136/jmedgenet-2015-103601

PubMed Abstract | CrossRef Full Text | Google Scholar

Bian, S., Hong, J., Li, Q., Schebelle, L., Pollock, A., Knauss, J. L., et al. (2013). MicroRNA cluster miR-17-92 regulates neural stem cell expansion and transition to intermediate progenitors in the developing mouse neocortex. Cell Rep. 3, 1398–1406. doi: 10.1016/j.celrep.2013.03.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Bishop, K. M., Goudreau, G., and O'Leary, D. D. (2000). Regulation of area identity in the mammalian neocortex by Emx2 and Pax6. Science 288, 344–349. doi: 10.1126/science.288.5464.344

PubMed Abstract | CrossRef Full Text | Google Scholar

Bortoluzzi, A., Amato, A., Lucas, X., Blank, M., and Ciulli, A. (2017). Structural basis of molecular recognition of helical histone H3 tail by PHD finger domains. Biochem. J. 474, 1633–1651. doi: 10.1042/BCJ20161053

PubMed Abstract | CrossRef Full Text | Google Scholar

Büttner, N., Johnsen, S. A., Kügler, S., and Vogel, T. (2010). Af9/Mllt3 interferes with Tbr1 expression through epigenetic modification of histone H3K79 during development of the cerebral cortex. Proc. Natl. Acad. Sci. U.S.A. 107, 7042–7047. doi: 10.1073/pnas.0912041107

PubMed Abstract | CrossRef Full Text | Google Scholar

Bystron, I., Blakemore, C., and Rakic, P. (2008). Development of the human cerebral cortex: boulder committee revisited. Nat. Rev. Neurosci. 9, 110–122. doi: 10.1038/nrn2252

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y., Bian, S., Zhang, J., Zhang, H., Tang, B., and Sun, T. (2014). The silencing effect of microRNA miR-17 on p21 maintains the neural progenitor pool in the developing cerebral cortex. Front. Neurol. 5:132. doi: 10.3389/fneur.2014.00132

PubMed Abstract | CrossRef Full Text | Google Scholar

Cobolli Gigli, C., Scaramuzza, L., De Simone, M., Rossi, R. L., Pozzi, D., Pagani, M., et al. (2018). Lack of Methyl-CpG binding protein 2 (MeCP2) affects cell fate refinement during embryonic cortical development. Cereb. Cortex 28, 1846–1856. doi: 10.1093/cercor/bhx360

PubMed Abstract | CrossRef Full Text | Google Scholar

Coutinho, P., Pavlou, S., Bhatia, S., Chalmers, K. J., Kleinjan, D. A., and van Heyningen, V. (2011). Discovery and assessment of conserved Pax6 target genes and enhancers. Genome Res. 21, 1349–1359. doi: 10.1101/gr.124115.111

PubMed Abstract | CrossRef Full Text | Google Scholar

Deans, C., and Maggert, K. A. (2015). What do you mean, “epigenetic”? Genetics 199, 887–896. doi: 10.1534/genetics.114.173492

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Croce, L., and Helin, K. (2013). Transcriptional regulation by Polycomb group proteins. Nat. Struct. Mol. Biol. 20, 1147–1155. doi: 10.1038/nsmb.2669

PubMed Abstract | CrossRef Full Text | Google Scholar

Drazic, A., Myklebust, L. M., Ree, R., and Arnesen, T. (2016). The world of protein acetylation. Biochim. Biophys. Acta 1864, 1372–1401. doi: 10.1016/j.bbapap.2016.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Egan, C. M., Nyman, U., Skotte, J., Streubel, G., Turner, S., O'Connell, D. J., et al. (2013). CHD5 is required for neurogenesis and has a dual role in facilitating gene expression and polycomb gene repression. Dev. Cell. 26, 223–236. doi: 10.1016/j.devcel.2013.07.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Elsen, G. E., Hodge, R. D., Bedogni, F., Daza, R. A., Nelson, B. R., Shiba, N., et al. (2013). The protomap is propagated to cortical plate neurons through an Eomes-dependent intermediate map. Proc. Natl. Acad. Sci. U.S.A. 110, 4081–4086. doi: 10.1073/pnas.1209076110

PubMed Abstract | CrossRef Full Text | Google Scholar

Englund, C., Fink, A., Lau, C., Pham, D., Daza, R. A., Bulfone, A., et al. (2005). Pax6, Tbr2, and Tbr1 are expressed sequentially by radial glia, intermediate progenitor cells, and postmitotic neurons in developing neocortex. J. Neurosci. 25, 247–251. doi: 10.1523/JNEUROSCI.2899-04.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Fan, G., Martinowich, K., Chin, M. H., He, F., Fouse, S. D., Hutnick, L., et al. (2005). DNA methylation controls the timing of astrogliogenesis through regulation of JAK-STAT signaling. Development 132, 3345–3356. doi: 10.1242/dev.01912

PubMed Abstract | CrossRef Full Text | Google Scholar

Farkas, L. M., Haffner, C., Giger, T., Khaitovich, P., Nowick, K., Birchmeier, C., et al. (2008). Insulinoma-associated 1 has a panneurogenic role and promotes the generation and expansion of basal progenitors in the developing mouse neocortex. Neuron 60, 40–55. doi: 10.1016/j.neuron.2008.09.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, W., Shao, C., and Liu, H. K. (2017). Versatile roles of the chromatin remodeler CHD7 during brain development and disease. Front. Mol. Neurosci. 10:309. doi: 10.3389/fnmol.2017.00309

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuentes, P., Cánovas, J., Berndt, F. A., Noctor, S. C., and Kukuljan, M. (2012). CoREST/LSD1 control the development of pyramidal cortical neurons. Cereb. Cortex 22, 1431–1441. doi: 10.1093/cercor/bhr218

PubMed Abstract | CrossRef Full Text | Google Scholar

Gallagher, D., Voronova, A., Zander, M. A., Cancino, G. I., Bramall, A., Krause, M. P., et al. (2015). Ankrd11 is a chromatin regulator involved in autism that is essential for neural development. Dev. Cell 32, 31–42. doi: 10.1016/j.devcel.2014.11.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, Z., Lee, P., Stafford, J. M., von Schimmelmann, M., Schaefer, A., and Reinberg, D. (2014). An AUTS2-polycomb complex activates gene expression in the CNS. Nature 516, 349–354. doi: 10.1038/nature13921

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, Z., Zhang, J., Bonasio, R., Strino, F., Sawai, A., Parisi, F., et al. (2012). PCGF homologs, CBX proteins, and RYBP define functionally distinct PRC1 family complexes. Mol. Cell 45, 344–356. doi: 10.1016/j.molcel.2012.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Gates, L. A., Foulds, C. E., and O'Malley, B. W. (2017). Histone marks in the ‘Driver's Seat': functional roles in steering the transcription cycle. Trends Biochem. Sci. 42, 977–989. doi: 10.1016/j.tibs.2017.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Georgala, P. A., Carr, C. B., and Price, D. J. (2011). The role of Pax6 in forebrain development. Dev. Neurobiol. 71, 690–709. doi: 10.1002/dneu.20895

PubMed Abstract | CrossRef Full Text | Google Scholar

Gerhold, C. B., and Gasser, S. M. (2014). INO80 and SWR complexes: relating structure to function in chromatin remodeling. Trends Cell Biol. 24, 619–631. doi: 10.1016/j.tcb.2014.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Gil, J., and O'Loghlen, A. (2014). PRC1 complex diversity: where is it taking us? Trends Cell Biol. 24, 632–641. doi: 10.1016/j.tcb.2014.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Goodwin, L. R., and Picketts, D. J. (2017). The role of ISWI chromatin remodeling complexes in brain development and neurodevelopmental disorders. Mol. Cell. Neurosci. 87, 55–64. doi: 10.1016/j.mcn.2017.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Greig, L. C., Woodworth, M. B., Greppi, C., and Macklis, J. D. (2016). Ctip1 controls acquisition of sensory area identity and establishment of sensory input fields in the developing neocortex. Neuron 90, 261–277. doi: 10.1016/j.neuron.2016.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Grijzenhout, A., Godwin, J., Koseki, H., Gdula, M. R., Szumska, D., McGouran, J. F., et al. (2016). Functional analysis of AEBP2, a PRC2 Polycomb protein, reveals a Trithorax phenotype in embryonic development and in ESCs. Development 143, 2716–2723. doi: 10.1242/dev.123935

PubMed Abstract | CrossRef Full Text | Google Scholar

Gu, X., Fu, C., Lin, L., Liu, S., Su, X., Li, A., et al. (2018). miR-124 and miR-9 mediated downregulation of HDAC5 promotes neurite development through activating MEF2C-GPM6A pathway. J. Cell. Physiol. 233, 673–687. doi: 10.1002/jcp.25927

PubMed Abstract | CrossRef Full Text | Google Scholar

Guzman-Ayala, M., Sachs, M., Koh, F. M., Onodera, C., Bulut-Karslioglu, A., Lin, C. J., et al. (2015). Chd1 is essential for the high transcriptional output and rapid growth of the mouse epiblast. Development 142, 118–127. doi: 10.1242/dev.114843

PubMed Abstract | CrossRef Full Text | Google Scholar

Hevner, R. F. (2005). The cerebral cortex malformation in thanatophoric dysplasia: neuropathology and pathogenesis. Acta Neuropathol. 110, 208–221. doi: 10.1007/s00401-005-1059-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Hevner, R. F., Hodge, R. D., Daza, R. A., and Englund, C. (2006). Transcription factors in glutamatergic neurogenesis: conserved programs in neocortex, cerebellum, and adult hippocampus. Neurosci. Res. 55, 223–233. doi: 10.1016/j.neures.2006.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Hevner, R. F., Shi, L., Justice, N., Hsueh, Y., Sheng, M., Smiga, S., et al. (2001). Tbr1 regulates differentiation of the preplate and layer 6. Neuron 29, 353–366. doi: 10.1016/S0896-6273(01)00211-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Hirabayashi, Y., Suzki, N., Tsuboi, M., Endo, T. A., Toyoda, T., Shinga, J., et al. (2009). Polycomb limits the neurogenic competence of neural precursor cells to promote astrogenic fate transition. Neuron 63, 600–613. doi: 10.1016/j.neuron.2009.08.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Hodawadekar, S. C., and Marmorstein, R. (2007). Chemistry of acetyl transfer by histone modifying enzymes: structure, mechanism and implications for effector design. Oncogene 26, 5528–5540. doi: 10.1038/sj.onc.1210619

PubMed Abstract | CrossRef Full Text | Google Scholar

Holm, P. C., Mader, M. T., Haubst, N., Wizenmann, A., Sigvardsson, M., and Götz, M. (2007). Loss- and gain-of-function analyses reveal targets of Pax6 in the developing mouse telencephalon. Mol. Cell. Neurosci. 34, 99–119. doi: 10.1016/j.mcn.2006.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Hota, S. K., and Bruneau, B. G. (2016). ATP-dependent chromatin remodeling during mammalian development. Development 143, 2882–2897. doi: 10.1242/dev.128892

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsieh, J., and Zhao, X. (2016). Genetics and epigenetics in adult neurogenesis. Cold Spring Harb. Perspect. Biol. 8:a018911. doi: 10.1101/cshperspect.a018911

PubMed Abstract | CrossRef Full Text | Google Scholar

Iwase, S., Bérubé, N. G., Zhou, Z., Kasri, N. N., Battaglioli, E., Scandaglia, M., et al. (2017). Epigenetic etiology of intellectual disability. J. Neurosci. 37, 10773–10782. doi: 10.1523/JNEUROSCI.1840-17.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang, H., Qu, L., Wang, Y., Cong, J., Wang, W., and Yang, X. (2014). miR-99a promotes proliferation targeting FGFR3 in human epithelial ovarian cancer cells. Biomed. Pharmacother. 68, 163–169. doi: 10.1016/j.biopha.2013.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaplan, E. S., Ramos-Laguna, K. A., Mihalas, A. B., Daza, R. A. M., and Hevner, R. F. (2017). Neocortical Sox9+ radial glia generate glutamatergic neurons for all layers, but lack discernible evidence of early laminar fate restriction. Neural Dev. 12:14. doi: 10.1186/s13064-017-0091-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Kawaguchi, A., Ikawa, T., Kasukawa, T., Ueda, H. R., Kurimoto, K., Saitou, M., et al. (2008). Single-cell gene profiling defines differential progenitor subclasses in mammalian neurogenesis. Development 135, 3113–3124. doi: 10.1242/dev.022616

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, T. W., Kang, B. H., Jang, H., Kwak, S., Shin, J., Kim, H., et al. (2015). Ctbp2 modulates NuRD-mediated deacetylation of H3K27 and facilitates PRC2-mediated H3K27me3 in active embryonic stem cell genes during exit from pluripotency. Stem Cells 33, 2442–2455. doi: 10.1002/stem.2046

PubMed Abstract | CrossRef Full Text | Google Scholar

Knock, E., Pereira, J., Lombard, P. D., Dimond, A., Leaford, D., Livesey, F. J., et al. (2015). The methyl binding domain 3/nucleosome remodelling and deacetylase complex regulates neural cell fate determination and terminal differentiation in the cerebral cortex. Neural Dev. 10:13. doi: 10.1186/s13064-015-0040-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Koemans, T. S., Kleefstra, T., Chubak, M. C., Stone, M. H., Reijnders, M. R. F., de Munnik, S., et al. (2017). Functional convergence of histone methyltransferases EHMT1 and KMT2C involved in intellectual disability and autism spectrum disorder. PLoS Genet. 13:e1006864. doi: 10.1371/journal.pgen.1006864

PubMed Abstract | CrossRef Full Text | Google Scholar

Kueh, A. J., Dixon, M. P., Voss, A. K., and Thomas, T. (2011). HBO1 is required for H3K14 acetylation and normal transcriptional activity during embryonic development. Mol. Cell. Biol. 31, 845–860. doi: 10.1128/MCB.00159-10

PubMed Abstract | CrossRef Full Text | Google Scholar

Lazzaro, M. A., and Picketts, D. J. (2001). Cloning and characterization of the murine Imitation Switch (ISWI) genes: differential expression patterns suggest distinct developmental roles for Snf2h and Snf2l. J. Neurochem. 77, 1145–1156. doi: 10.1046/j.1471-4159.2001.00324.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, B., Zhou, J., Liu, P., Hu, J., Jin, H., Shimono, Y., et al. (2007). Polycomb protein Cbx4 promotes SUMO modification of de novo DNA methyltransferase Dnmt3a. Biochem. J. 405, 369–378. doi: 10.1042/BJ20061873

PubMed Abstract | CrossRef Full Text | Google Scholar

López, A. J., and Wood, M. A. (2015). Role of nucleosome remodeling in neurodevelopmental and intellectual disability disorders. Front. Behav. Neurosci. 9:100. doi: 10.3389/fnbeh.2015.00100

PubMed Abstract | CrossRef Full Text | Google Scholar

Lunyak, V. V., Burgess, R., Prefontaine, G. G., Nelson, C., Sze, S. H., Chenoweth, J., et al. (2002). Corepressor-dependent silencing of chromosomal regions encoding neuronal genes. Science 298, 1747–1752. doi: 10.1126/science.1076469

PubMed Abstract | CrossRef Full Text | Google Scholar

Manuel, M., Georgala, P. A., Carr, C. B., Chanas, S., Kleinjan, D. A., Martynoga, B., et al. (2007). Controlled overexpression of Pax6 in vivo negatively autoregulates the Pax6 locus, causing cell-autonomous defects of late cortical progenitor proliferation with little effect on cortical arealization. Development 134, 545–555. doi: 10.1242/dev.02764

PubMed Abstract | CrossRef Full Text | Google Scholar

Margueron, R., and Reinberg, D. (2011). The polycomb complex PRC2 and its mark in life. Nature 469, 343–349. doi: 10.1038/nature09784

PubMed Abstract | CrossRef Full Text | Google Scholar

Matsunaga, E., Nambu, S., Oka, M., and Iriki, A. (2015). Comparative analysis of developmentally regulated expressions of Gadd45a, Gadd45b, and Gadd45g in the mouse and marmoset cerebral cortex. Neuroscience 284, 566–580. doi: 10.1016/j.neuroscience.2014.10.032

PubMed Abstract | CrossRef Full Text | Google Scholar

Medvedeva, Y. A., Lennartsson, A., Ehsani, R., Kulakovskiy, I. V., Vorontsov, I. E., Panahandeh, P., et al. (2015). EpiFactors: a comprehensive database of human epigenetic factors and complexes. Database 2015:bav067. doi: 10.1093/database/bav067

PubMed Abstract | CrossRef Full Text | Google Scholar

Méjat, A., Ramond, F., Bassel-Duby, R., Khochbin, S., Olson, E. N., and Schaeffer, L. (2005). Histone deacetylase 9 couples neuronal activity to muscle chromatin acetylation and gene expression. Nat. Neurosci. 8, 313–321. doi: 10.1038/nn1408

PubMed Abstract | CrossRef Full Text | Google Scholar

Mihalas, A. B., Elsen, G. E., Bedogni, F., Daza, R. A. M., Ramos-Laguna, K. A., Arnold, S. J., et al. (2016). Intermediate progenitor cohorts differentially generate cortical layers and require Tbr2 for timely acquisition of neuronal subtype identity. Cell Rep. 16, 92–105. doi: 10.1016/j.celrep.2016.05.072

PubMed Abstract | CrossRef Full Text | Google Scholar

Mihalas, A. B., and Hevner, R. F. (2017). Control of neuronal development by T-box genes in the brain. Curr. Top. Dev. Biol. 122, 279–312. doi: 10.1016/bs.ctdb.2016.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Miró, X., Zhou, X., Boretius, S., Michaelis, T., Kubisch, C., Alvarez-Bolado, G., et al. (2009). Haploinsufficiency of the murine polycomb gene Suz12 results in diverse malformations of the brain and neural tube. Dis. Model. Mech. 2, 412–418. doi: 10.1242/dmm.001602

PubMed Abstract | CrossRef Full Text | Google Scholar

Moccia, A., and Martin, D. M. (2018). Nervous system development and disease: a focus on trithorax related proteins and chromatin remodelers. Mol. Cell. Neurosci. 87, 46–54. doi: 10.1016/j.mcn.2017.11.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Molyneaux, B. J., Goff, L. A., Brettler, A. C., Chen, H. H., Hrvatin, S., Rinn, J. L., et al. (2015). DeCoN: genome-wide analysis of in vivo transcriptional dynamics during pyramidal neuron fate selection in neocortex. Neuron 85, 275–288. doi: 10.1016/j.neuron.2014.12.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Monaghan, C. E., Nechiporuk, T., Jeng, S., McWeeney, S. K., Wang, J., Rosenfeld, M. G., et al. (2017). REST corepressors RCOR1 and RCOR2 and the repressor INSM1 regulate the proliferation-differentiation balance in the developing brain. Proc. Natl. Acad. Sci. U.S.A. 114, E406–E415. doi: 10.1073/pnas.1620230114

PubMed Abstract | CrossRef Full Text | Google Scholar

Moore, L. D., Le, T., and Fan, G. (2013). DNA methylation and its basic function. Neuropsychopharmacology 38, 23–38. doi: 10.1038/npp.2012.112

PubMed Abstract | CrossRef Full Text | Google Scholar

Morimoto-Suzki, N., Hirabayashi, Y., Tyssowski, K., Shinga, J., Vidal, M., Koseki, H., et al. (2014). The polycomb component Ring1B regulates the timed termination of subcerebral projection neuron production during mouse neocortical development. Development 141, 4343–4353. doi: 10.1242/dev.112276

PubMed Abstract | CrossRef Full Text | Google Scholar

Muralidharan, B., Khatri, Z., Maheshwari, U., Gupta, R., Roy, B., Pradhan, S. J., et al. (2017). LHX2 Interacts with the NuRD complex and regulates cortical neuron subtype determinants Fezf2 and Sox11. J. Neurosci. 37, 194–203. doi: 10.1523/JNEUROSCI.2836-16.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Murao, N., Matsuda, T., Noguchi, H., Koseki, H., Namihira, M., and Nakashima, K. (2014). Characterization of Np95 expression in mouse brain from embryo to adult: a novel marker for proliferating neural stem/precursor cells. Neurogenesis 1:e976026. doi: 10.4161/23262133.2014.976026

PubMed Abstract | CrossRef Full Text | Google Scholar

Narayanan, R., Pirouz, M., Kerimoglu, C., Pham, L., Wagener, R. J., Kiszka, K. A., et al. (2015). Loss of BAF (mSWI/SNF) complexes causes global transcriptional and chromatin state changes in forebrain development. Cell Rep. 13, 1842–1854. doi: 10.1016/j.celrep.2015.10.046

PubMed Abstract | CrossRef Full Text | Google Scholar

Nelson, B. R., Hodge, R. D., Bedogni, F., and Hevner, R. F. (2013). Dynamic interactions between intermediate neurogenic progenitors and radial glia in embryonic mouse neocortex: potential role in Dll1-Notch signaling. J. Neurosci. 33, 9122–9139. doi: 10.1523/JNEUROSCI.0791-13.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

Ninkovic, J., Steiner-Mezzadri, A., Jawerka, M., Akinci, U., Masserdotti, G., Petricca, S., et al. (2013). The BAF complex interacts with Pax6 in adult neural progenitors to establish a neurogenic cross-regulatory transcriptional network. Cell Stem Cell. 13, 403–418. doi: 10.1016/j.stem.2013.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Nitarska, J., Smith, J. G., Sherlock, W. T., Hillege, M. M., Nott, A., Barshop, W. D., et al. (2016). A functional switch of NuRD chromatin remodeling complex subunits regulates mouse cortical development. Cell Rep. 17, 1683–1698. doi: 10.1016/j.celrep.2016.10.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Nord, A. S., Pattabiraman, K., Visel, A., and Rubenstein, J. L. (2015). Genomic perspectives of transcriptional regulation in forebrain development. Neuron 85, 27–47. doi: 10.1016/j.neuron.2014.11.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Notwell, J. H., Heavner, W. E., Darbandi, S. F., Katzman, S., McKenna, W. L., Ortiz-Londono, C. F., et al. (2016). TBR1 regulates autism risk genes in the developing neocortex. Genome Res. 26, 1013–1022. doi: 10.1101/gr.203612.115

PubMed Abstract | CrossRef Full Text | Google Scholar

Nowakowski, T. J., Fotaki, V., Pollock, A., Sun, T., Pratt, T., and Price, D. J. (2013). MicroRNA-92b regulates the development of intermediate cortical progenitors in embryonic mouse brain. Proc. Natl. Acad. Sci. U.S.A. 110, 7056–7061. doi: 10.1073/pnas.1219385110

PubMed Abstract | CrossRef Full Text | Google Scholar

Okada, M., Okawa, K., Isobe, T., and Fukagawa, T. (2009). CENP-H-containing complex facilitates centromere deposition of CENP-A in cooperation with FACT and CHD1. Mol. Biol. Cell 20, 3986–3995. doi: 10.1091/mbc.e09-01-0065

PubMed Abstract | CrossRef Full Text | Google Scholar

O'Leary, D. D., Chou, S. J., and Sahara, S. (2007). Area patterning of the mammalian cortex. Neuron 56, 252–269. doi: 10.1016/j.neuron.2007.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Ooi, L., and Wood, I. C. (2007). Chromatin crosstalk in development and disease: lessons from REST. Nat. Rev. Genet. 8, 544–554. doi: 10.1038/nrg2100

PubMed Abstract | CrossRef Full Text | Google Scholar

Pattabiraman, K., Golonzhka, O., Lindtner, S., Nord, A. S., Taher, L., Hoch, R., et al. (2014). Transcriptional regulation of enhancers active in protodomains of the developing cerebral cortex. Neuron 82, 989–1003. doi: 10.1016/j.neuron.2014.04.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Pereira, J. D., Sansom, S. N., Smith, J., Dobenecker, M. W., Tarakhovsky, A., and Livesey, F. J. (2010). Ezh2, the histone methyltransferase of PRC2, regulates the balance between self-renewal and differentiation in the cerebral cortex. Proc. Natl. Acad. Sci. U.S.A. 107, 15957–15962. doi: 10.1073/pnas.1002530107

PubMed Abstract | CrossRef Full Text | Google Scholar

Piunti, A., and Shilatifard, A. (2016). Epigenetic balance of gene expression by Polycomb and COMPASS families. Science 352:aad9780. doi: 10.1126/science.aad9780

PubMed Abstract | CrossRef Full Text | Google Scholar

Poli, J., Gasser, S. M., and Papamichos-Chronakis, M. (2017). The INO80 remodeller in transcription, replication and repair. Philos. Trans. R. Soc. Lond. B Biol. Sci. 372:20160290. doi: 10.1098/rstb.2016.0290

PubMed Abstract | CrossRef Full Text | Google Scholar

Pollock, A., Bian, S., Zhang, C., Chen, Z., and Sun, T. (2014). Growth of the developing cerebral cortex is controlled by microRNA-7 through the p53 pathway. Cell Rep. 7, 1184–1196. doi: 10.1016/j.celrep.2014.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Qiu, Z. (2017). Deciphering MECP2-associated disorders: disrupted circuits and the hope for repair. Curr. Opin. Neurobiol. 48, 30–36. doi: 10.1016/j.conb.2017.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Qiu, Z., Song, C., Malakouti, N., Murray, D., Hariz, A., Zimmerman, M., et al. (2015). Functional interactions between NURF and Ctcf regulate gene expression. Mol. Cell Biol. 35, 224–237. doi: 10.1128/MCB.00553-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Quinn, J. C., Molinek, M., Martynoga, B. S., Zaki, P. A., Faedo, A., Bulfone, A., et al. (2007). Pax6 controls cerebral cortical cell number by regulating exit from the cell cycle and specifies cortical cell identity by a cell autonomous mechanism. Dev. Biol. 302, 50–65. doi: 10.1016/j.ydbio.2006.08.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Qureshi, I. A., Gokhan, S., and Mehler, M. F. (2010). REST and CoREST are transcriptional and epigenetic regulators of seminal neural fate decisions. Cell Cycle 9, 4477–4486. doi: 10.4161/cc.9.22.13973

PubMed Abstract | CrossRef Full Text | Google Scholar

Richart, L., Carrillo-de Santa Pau, E., Río-Machín, A., de Andrés, M. P., Cigudosa, J. C., Lobo, V. J., et al. (2016). BPTF is required for c-MYC transcriptional activity and in vivo tumorigenesis. Nat. Commun. 7:10153. doi: 10.1038/ncomms10153

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosenbloom, K. R., Armstrong, J., Barber, G. P., Casper, J., Clawson, H., Diekhans, M., et al. (2015). The UCSC genome browser database: 2015 update. Nucleic Acids Res. 43, D670–D681. doi: 10.1093/nar/gku1177

PubMed Abstract | CrossRef Full Text | Google Scholar

Sansom, S. N., Griffiths, D. S., Faedo, A., Kleinjan, D. J., Ruan, Y., Smith, J., et al. (2009). The level of the transcription factor Pax6 is essential for controlling the balance between neural stem cell self-renewal and neurogenesis. PLoS Genet. 5:e1000511. doi: 10.1371/journal.pgen.1000511

PubMed Abstract | CrossRef Full Text | Google Scholar

Sapountzi, V., and Côté, J. (2011). MYST-family histone acetyltransferases: beyond chromatin. Cell. Mol. Life Sci. 68, 1147–1156. doi: 10.1007/s00018-010-0599-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Schuettengruber, B., Chourrout, D., Vervoort, M., Leblanc, B., and Cavalli, G. (2007). Genome regulation by polycomb and trithorax proteins. Cell 128, 735–745. doi: 10.1016/j.cell.2007.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Schuettengruber, B., Martinez, A. M., Iovino, N., and Cavalli, G. (2011). Trithorax group proteins: switching genes on and keeping them active. Nat. Rev. Mol. Cell Biol. 12, 799–814. doi: 10.1038/nrm3230

PubMed Abstract | CrossRef Full Text | Google Scholar

Schuurmans, C., Armant, O., Nieto, M., Stenman, J. M., Britz, O., Klenin, N., et al. (2004). Sequential phases of cortical specification involve neurogenin-dependent and -independent pathways. EMBO J. 23, 2892–2902. doi: 10.1038/sj.emboj.7600278

PubMed Abstract | CrossRef Full Text | Google Scholar

Schwartz, Y. B., and Pirrotta, V. (2013). A new world of Polycombs: unexpected partnerships and emerging functions. Nat. Rev. Genet. 14, 853–864. doi: 10.1038/nrg3603

PubMed Abstract | CrossRef Full Text | Google Scholar

Sessa, A., Ciabatti, E., Drechsel, D., Massimino, L., Colasante, G., Giannelli, S., et al. (2017). The Tbr2 molecular network controls cortical neuronal differentiation through complementary genetic and epigenetic pathways. Cereb. Cortex 27, 3378–3396. doi: 10.1093/cercor/bhx209

CrossRef Full Text | Google Scholar

Sessa, A., Mao, C. A., Hadjantonakis, A. K., Klein, W. H., and Broccoli, V. (2008). Tbr2 directs conversion of radial glia into basal precursors and guides neuronal amplification by indirect neurogenesis in the developing neocortex. Neuron 60, 56–69. doi: 10.1016/j.neuron.2008.09.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharma, A., Klein, S. S., Barboza, L., Lohdi, N., and Toth, M. (2016). Principles governing DNA methylation during neuronal lineage and subtype specification. J. Neurosci. 36, 1711–1722. doi: 10.1523/JNEUROSCI.4037-15.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, X., Kim, W., Fujiwara, Y., Simon, M. D., Liu, Y., Mysliwiec, M. R., et al. (2009). Jumonji modulates polycomb activity and self-renewal versus differentiation of stem cells. Cell 139, 1303–1314. doi: 10.1016/j.cell.2009.12.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Shibata, M., Gulden, F. O., and Sestan, N. (2015). From trans to cis: transcriptional regulatory networks in neocortical development. Trends Genet. 31, 77–87. doi: 10.1016/j.tig.2014.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Siegenthaler, J. A., Tremper-Wells, B. A., and Miller, M. W. (2008). Foxg1 haploinsufficiency reduces the population of cortical intermediate progenitor cells: effect of increased p21 expression. Cereb. Cortex 18, 1865–1875. doi: 10.1093/cercor/bhm209

PubMed Abstract | CrossRef Full Text | Google Scholar

Silbereis, J. C., Pochareddy, S., Zhu, Y., Li, M., and Sestan, N. (2016). The cellular and molecular landscapes of the developing human central nervous system. Neuron 89, 248–268. doi: 10.1016/j.neuron.2015.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Simon, J. A., and Kingston, R. E. (2009). Mechanisms of polycomb gene silencing: knowns and unknowns. Nat. Rev. Mol. Cell Biol. 10, 697–708. doi: 10.1038/nrm2763

PubMed Abstract | CrossRef Full Text | Google Scholar

Sims, J. K., and Wade, P. A. (2011). Mi-2/NuRD complex function is required for normal S phase progression and assembly of pericentric heterochromatin. Mol. Biol. Cell 22, 3094–3102. doi: 10.1091/mbc.e11-03-0258

PubMed Abstract | CrossRef Full Text | Google Scholar

Sokpor, G., Xie, Y., Rosenbusch, J., and Tuoc, T. (2017). Chromatin remodeling BAF (SWI/SNF) complexes in neural development and disorders. Front. Mol. Neurosci. 10:243. doi: 10.3389/fnmol.2017.00243

PubMed Abstract | CrossRef Full Text | Google Scholar

Son, E. Y., and Crabtree, G. R. (2014). The role of BAF (mSWI/SNF) complexes in mammalian neural development. Am. J. Med. Genet. C Semin. Med. Genet. 166C(3):333–349. doi: 10.1002/ajmg.c.31416

CrossRef Full Text | Google Scholar

Sparmann, A., Xie, Y., Verhoeven, E., Vermeulen, M., Lancini, C., Gargiulo, G., et al. (2013). The chromodomain helicase Chd4 is required for Polycomb-mediated inhibition of astroglial differentiation. EMBO J. 32, 1598–1612. doi: 10.1038/emboj.2013.93

PubMed Abstract | CrossRef Full Text | Google Scholar

St. Pierre, R., and Kadoch, C. (2017). Mammalian SWI/SNF complexes in cancer: emerging therapeutic opportunities. Curr. Opin. Genet. Dev. 42, 56–67. doi: 10.1016/j.gde.2017.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, J., Rockowitz, S., Xie, Q., Ashery-Padan, R., Zheng, D., and Cvekl, A. (2015). Identification of in vivo DNA-binding mechanisms of Pax6 and reconstruction of Pax6-dependent gene regulatory networks during forebrain and lens development. Nucleic Acids Res. 43, 6827–6846. doi: 10.1093/nar/gkv589

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, T., and Hevner, R. F. (2014). Growth and folding of the mammalian cerebral cortex: from molecules to malformations. Nat. Rev. Neurosci. 15, 217–232. doi: 10.1038/nrn3707

PubMed Abstract | CrossRef Full Text | Google Scholar

Tavano, S., Taverna, E., Kalebic, N., Haffner, C., Namba, T., Dahl, A., et al. (2018). Insm1 induces neural progenitor delamination in developing neocortex via downregulation of the adherens junction belt-specific protein Plekha7. Neuron 97, 1299–1314. doi: 10.1016/j.neuron.2018.01.052

PubMed Abstract | CrossRef Full Text | Google Scholar

Tavares, L., Dimitrova, E., Oxley, D., Webster, J., Poot, R., Demmers, J., et al. (2012). RYBP-PRC1 complexes mediate H2A ubiquitylation at polycomb target sites independently of PRC2 and H3K27me3. Cell 148, 664–678. doi: 10.1016/j.cell.2011.12.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Telley, L., Govindan, S., Prados, J., Stevant, I., Nef, S., Dermitzakis, E., et al. (2016). Sequential transcriptional waves direct the differentiation of newborn neurons in the mouse neocortex. Science 351, 1443–1446. doi: 10.1126/science.aad8361

PubMed Abstract | CrossRef Full Text | Google Scholar

Thomas, T., Voss, A. K., Chowdhury, K., and Gruss, P. (2000). Querkopf, a MYST family histone acetyltransferase, is required for normal cerebral cortex development. Development 127, 2537–2548.

PubMed Abstract | Google Scholar

Thomson, R. E., Kind, P. C., Graham, N. A., Etherson, M. L., Kennedy, J., Fernandes, A. C., et al. (2009). Fgf receptor 3 activation promotes selective growth and expansion of occipitotemporal cortex. Neural Dev. 4:4. doi: 10.1186/1749-8104-4-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Tomaz, R. A., Harman, J. L., Karimlou, D., Weavers, L., Fritsch, L., Bou-Kheir, T., et al. (2017). Jmjd2c facilitates the assembly of essential enhancer-protein complexes at the onset of embryonic stem cell differentiation. Development 144, 567–579. doi: 10.1242/dev.142489

PubMed Abstract | CrossRef Full Text | Google Scholar

Tuoc, T. C., Boretius, S., Sansom, S. N., Pitulescu, M. E., Frahm, J., Livesey, F. J., et al. (2013). Chromatin regulation by BAF170 controls cerebral cortical size and thickness. Dev. Cell 25, 256–269. doi: 10.1016/j.devcel.2013.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Vogel, T., Stoykova, A., and Gruss, P. (2006). Differential expression of polycomb repression complex 1 (PRC1) members in the developing mouse brain reveals multiple complexes. Dev. Dyn. 235, 2574–2585. doi: 10.1002/dvdy.20876

PubMed Abstract | CrossRef Full Text | Google Scholar

Wiegreffe, C., Simon, R., Peschkes, K., Kling, C., Strehle, M., Cheng, J., et al. (2015). Bcl11a (Ctip1) controls migration of cortical projection neurons through regulation of Sema3c. Neuron 87, 311–325. doi: 10.1016/j.neuron.2015.06.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Woodworth, M. B., Greig, L. C., Liu, K. X., Ippolito, G. C., Tucker, H. O., and Macklis, J. D. (2016). Ctip1 regulates the balance between specification of distinct projection neuron subtypes in deep cortical layers. Cell Rep. 15, 999–1012. doi: 10.1016/j.celrep.2016.03.064

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, Y., Ma, S., Xia, Y., Lu, Y., Xiao S., Cao, Y., et al. (2017). Loss of GCN5 leads to increased neuronal apoptosis by upregulating E2F1- and Egr-1-dependent BH3-only protein Bim. Cell Death Dis. 8:e2570. doi: 10.1038/cddis.2016.465

PubMed Abstract | CrossRef Full Text | Google Scholar

Yadon, A. N., and Tsukiyama, T. (2011). SnapShot: chromatin remodeling: ISWI. Cell 144, 453.e1–453.e1. doi: 10.1016/j.cell.2011.01.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Yao, B., Christian, K. M., He, C., Jin, P., Ming, G. L., and Song, H. (2016). Epigenetic mechanisms in neurogenesis. Nat. Rev. Neurosci. 17, 537–549. doi: 10.1038/nrn.2016.70

PubMed Abstract | CrossRef Full Text | Google Scholar

Yip, D. J., Corcoran, C. P., Alvarez-Saavedra, M., DeMaria, A., Rennick, S., Mears, A. J., et al. (2012). Snf2l regulates Foxg1-dependent progenitor cell expansion in the developing brain. Dev. Cell 22, 871–878. doi: 10.1016/j.devcel.2012.01.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoo, A. S., Staahl, B. T., Chen, L., and Crabtree, G. R. (2009). MicroRNA-mediated switching of chromatin-remodelling complexes in neural development. Nature 460, 642–646. doi: 10.1038/nature08139

PubMed Abstract | CrossRef Full Text | Google Scholar

You, L., Zou, J., Zhao, H., Bertos, N. R., Park, M., Wang, E., et al. (2015). Deficiency of the chromatin regulator BRPF1 causes abnormal brain development. J. Biol. Chem. 290, 7114–7129. doi: 10.1074/jbc.M114.635250

PubMed Abstract | CrossRef Full Text | Google Scholar

Ypsilanti, A. R., and Rubenstein, J. L. (2016). Transcriptional and epigenetic mechanisms of early cortical development: an examination of how Pax6 coordinates cortical development. J. Comp. Neurol. 524, 609–629. doi: 10.1002/cne.23866

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, L. J., Gazin, C., Lawson, N. D., Pagès, H., Lin, S. M., Lapointe, D. S., et al. (2010). ChIPpeakAnno: a bioconductor package to annotate ChIP-seq and ChIP-chip data. BMC Bioinformatics 11:237. doi: 10.1186/1471-2105-11-237

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, T., Liang, C., Li, D., Tian, M., Liu, S., Gao, G., et al. (2016). Histone methyltransferase Ash1L mediates activity-dependent repression of neurexin-1α. Sci. Rep. 6:26597. doi: 10.1038/srep26597

CrossRef Full Text | Google Scholar