Skip to main content
Stem Cell Reports logoLink to Stem Cell Reports
. 2021 Apr 1;16(4):968–984. doi: 10.1016/j.stemcr.2021.03.008

Molecular Profiling Reveals Involvement of ESCO2 in Intermediate Progenitor Cell Maintenance in the Developing Mouse Cortex

Pauline Antonie Ulmke 1,6, M Sadman Sakib 2,6, Peter Ditte 3,6, Godwin Sokpor 1,5,6, Cemil Kerimoglu 2, Linh Pham 1,5, Yuanbin Xie 1, Xiaoyi Mao 1, Joachim Rosenbusch 1, Ulrike Teichmann 3, Huu Phuc Nguyen 5, Andre Fischer 2,4, Gregor Eichele 3, Jochen F Staiger 1, Tran Tuoc 1,5,
PMCID: PMC8072132  PMID: 33798452

Summary

Intermediate progenitor cells (IPCs) are neocortical neuronal precursors. Although IPCs play crucial roles in corticogenesis, their molecular features remain largely unknown. In this study, we aimed to characterize the molecular profile of IPCs. We isolated TBR2-positive (+) IPCs and TBR2-negative (−) cell populations in the developing mouse cortex. Comparative genome-wide gene expression analysis of TBR2+ IPCs versus TBR2 cells revealed differences in key factors involved in chromatid segregation, cell-cycle regulation, transcriptional regulation, and cell signaling. Notably, mutation of many IPC genes in human has led to intellectual disability and caused a wide range of cortical malformations, including microcephaly and agenesis of corpus callosum. Loss-of-function experiments in cortex-specific mutants of Esco2, one of the novel IPC genes, demonstrate its critical role in IPC maintenance, and substantiate the identification of a central genetic determinant of IPC biogenesis. Our data provide novel molecular characteristics of IPCs in the developing mouse cortex.

Keywords: intermediate progenitor cells, transcriptome, cortical development, cortical malformation, transcription factors, signaling pathways, cell-cycle regulation, chromosome segregation, apoptosis, ESCO2, TBR2

Graphical abstract

graphic file with name fx1.jpg

Highlights

  • Purification and transcriptome profiling of IPCs in developing mouse cortex

  • Identified 1,119 IPC-enriched genes with over 350 novel IPC genes in SVZ confirmed

  • IPC gene mutation is linked to intellectual disability and cortical malformation

  • Esco2, a novel IPC-enriched gene, is needed for IPC viability during corticogenesis


In this article, Tuoc and colleagues show that the expression of many genes, including ESCO2, which encode for key factors involved in chromatid segregation, cell-cycle regulation, transcriptional regulation, and cell signaling, is enriched in intermediate progenitor cells, and their mutation has implications for a wide range of cortical malformations and functional disabilities in the mouse and human brain.

Introduction

In developing cerebral cortex, intermediate progenitor cells (IPCs) are transit-amplifying cells that express the T-box transcription factor (TF) TBR2 (Hevner, 2019). IPCs are basal derivatives of the multipotent radial glial progenitor cells (RGCs) in developing cortex, and they exclusively differentiate into glutamatergic neurons. Although IPCs are known to give rise to the majority of cortical neurons (Haubensak et al., 2004; Kowalczyk et al., 2009; Miyata et al., 2004; Noctor et al., 2004), the molecular factors that drive or maintain the transient proliferative capacity and neurogenic properties of TBR2-positive (TBR2+) IPCs in the subventricular zone (SVZ) niche remain incompletely explored. The identification of the gene expression program that governs the genesis and maintenance of IPCs would improve our understanding of cortical development and provide possible protocols to culture IPCs in vitro or generate these cortical progenitors by cell reprogramming from other cell sources. Moreover, a description of the molecular features of IPCs can provide insights into the genes implicated in the etiology of pertinent neurological disturbances caused by defective IPC genesis.

To understand the molecular signatures of cell types in developing cortex, researchers have employed single-cell RNA sequencing (scRNA-seq) analyses to provide the molecular identity of cell subtypes, including IPCs in mouse (Kawaguchi et al., 2008; Li et al., 2020; Loo et al., 2019; Telley et al., 2016) and human cortex (Fan et al., 2018; Li et al., 2018; Nowakowski et al., 2017; Pollen et al., 2015; Zhong et al., 2018). However, due to the threshold of high-throughput scRNA-seq, profiling cell-type-specific gene expression is challenging. Comparisons between transcriptome analyses from purified cell populations have contributed additionally insightful molecular information about cortical cell subtypes (Albert et al., 2017; Amamoto et al., 2020; Arlotta et al., 2005; Molyneaux et al., 2015; Pinto et al., 2008).

In the present study, we used an antibody to label intranuclear TBR2 in single-nuclei suspensions isolated from embryonic day 16.5 (E16.5) mouse cortex and then sorted the TBR2+ cells (taken as IPCs) from the TBR2 cells (taken as non-IPCs). We then identified the expression of IPC-enriched genes by RNA-seq. Using high-throughput in situ hybridization (ISH) (Visel et al., 2004), we confirmed the so far SVZ-restricted expression of 392 novel IPC genes. The in situ expression of these genes is freely available online in an interactive database (https://gp3.mpg.de). A comparison of mouse IPC transcriptome and human phenotype annotations suggests that these IPC-enriched genes play important roles in cortical development in humans, as such patients with mutation variants display a wide range of cortical malformation and intellectual disability. Comparative genome-wide gene expression analysis of TBR2+ IPCs versus TBR2 cells revealed changes in key factors for chromatid segregation, cell-cycle regulation, transcription regulation, and chromatin remodeling. Among them, establishment of sister chromatid cohesion N-acetyltransferase 2 (ESCO2) was selected for confirmative studies. The cortex-specific mutagenesis for Esco2 caused a massive depletion of the IPC population, thus validating that we identified a central genetic determinant of IPC maintenance.

Results

Sorting and Transcriptome Profiling of Intermediate Progenitor Cells in Developing Mouse Cortex

To compare the transcriptome profile of TBR2+ IPCs and TBR2 cells in mouse developing cortex (Figure 1A), we isolated nuclei and established an intranuclear immunofluorescent staining and fluorescence-activated cell sorting (FACS) protocol (Figure 1B). We used intranuclear TBR2 antibody labeling in single-nuclei suspensions isolated from E16.5 mouse cortices followed by cell sorting (Figure 1C) (Sakib et al., 2021). Sorting gates were adjusted to purify TBR2+ IPC and TBR2-cell nuclei. Unlike unsorted nuclei suspensions, sorted nuclei suspensions were highly enriched (i.e., >99%) in the desired cell type (Figures 1C and 1D).

Figure 1.

Figure 1

Cell Sorting and Gene Expression Profiling of Mouse TBR2+ IPCs

(A) Micrograph showing the E16.5 mouse cortex immunostained with TBR2 antibody. Counterstaining was done with 4′,6-diamidino-2-phenylindole (DAPI).

(B) An illustration of the experimental design used to sort out TBR2-labled IPCs and subsequent nuclear analysis to compare the transcriptional profile of IPCs in mouse.

(C) Representative images of pre- and post-sorted cell suspensions from mouse cortex stained with TBR2 antibody. Counterstaining was done with DAPI.

(D) Representative plot showing sorting gates for TBR2+ and TBR2 cells from mouse and human cortex.

(E and F) Volcano plot (E) and heatmap (F) showing the enrichment of IPC and non-IPC genes in corresponding sorted cell populations.

(G) Pie chart showing proportions of the enrichment score of the top ten functional annotation clustering in IPCs.

(H) Micrograph of immunohistochemical (IHC) staining showing the E15.5 wild-type mouse cortex at low and high magnification stained with ESCO2, TBR2, and PAX6 antibodies. Cortical area with high magnification is indicated by a white box. Arrows point to TBR2+ IPCs co-expressing ESCO2 but not PAX6.

(I) Composite bar graph showing the quantitative proportion of ESCO2+ cells co-expressing PAX6 or TBR2 or both in germinal zone of the E15.5 mouse cortex. n = 6 experimental replicates.

Scale bars, 100 μm (A) and 50 μm (C and H).

To understand the gene-regulatory difference in these cell populations, we generated RNA-seq libraries with three biological replicates for each cell populations. As anticipated, a high expression of canonical IPC genes was observed in the IPC population consistent with known in vivo expression patterns (Figures 1E, 1F, and S1A–S1C; Table S1). Comparing the expression of housekeeping genes, which locate on chromosome X (Xist, Pgk1, Hprt, Eif2s3x) and chromosome Y (Ddx3y, Eif2s3y), revealed their comparable expression level in samples from TBR2+ IPCs and TBR2 cells (Figure S1C). The data suggest that TBR2+ and TBR2 cell populations were derived from a similar number of female and male embryos.

Next, we sought to identify genes with significant differences in expression level between the two cell populations and used these expression estimates to identify clusters. Cuffdiff2 was used to identify 1,119 enriched IPC genes (1,050 protein-coding RNAs and 69 long non-coding RNAs [lncRNAs]) and 1,714 enriched non-IPC genes with significant differential expression between the cell types (p < 0.01 and |fold change| (FC) > 1.0, Figures 1E and 1F). The IPC-enriched genes were annotated into different functional categories (Figures 1G, S1D, and S1E; Table S2; see experimental procedures). The significance of such predominating gene clusters was analyzed and is discussed later.

The reliability of our analyses was ensured by validating the expression pattern of the identified IPC-enriched genes in developing mouse cortex. ISH for 392 of such genes confirmed their restricted expression in SVZ in the E14.5 cortex, which is consistent with their RNA expression profiles (Table S3). To further validate the quality of our RNA-seq data, we performed immunohistochemical analysis of the E15.5 mouse cortex for ESCO2 as one of novel IPC factors. ESCO2 protein expression was mainly observed in the germinative zone of the developing cortex, especially the basal aspect (Figure 1H). Quantification revealed that most of the cells expressing ESCO2 also expressed the IPC marker TBR2, but to a lesser extent in cells in the transition stage between RGC-IPC (PAX6+/TBR2+) and in RGCs (PAX6+) (Figure 1I).

Previous studies, which have characterized the transcription profiles of single cells isolated from the developing mouse cortex, have generated a repository of genes enriched in each of the murine cortical cell types (Kawaguchi et al., 2008; Li et al., 2020; Loo et al., 2019; Telley et al., 2016). To identify novel IPC genes that might play essential roles in the development of this cell type, we compared the list of mouse IPC genes from those scRNA-seq experiments and from sorted TBR2+ IPCs (this study) and found that our list of IPC-enriched genes contains most of the previously identified IPC genes (Figure S1E). Intriguingly, 961 out of the 1,121 IPC-enriched genes from this study (Figure S1D) were not present in any of the gene lists of the aforementioned studies. Gene ontology (GO) analysis indicated that these novel IPCs encode for proteins belonging to different families of factors, such as chromatin/epigenetic factors, DNA- and RNA-binding factors, and post-transcription/-translation modification factors (Table S2 and Figure S1E).

Together, these results demonstrate an efficient isolation of mouse TBR2+ IPCs, which allow adequate molecular profiling.

Predominance of Mitotic Cell-Cycle-Related and Mitotic Chromatid-Segregation-Related Gene Signatures in IPCs

Previous studies revealed that IPCs are transient cortical progenitors that actively undergo mitotic cell divisions (Hevner, 2019). Consistent with these features of IPCs, many of the genes in the top GO pathways belong to cell-cycle- and cell-division-related categories (Figure 2A). Remarkably, our gene expression profiling revealed that genes encoding for many cyclin and cyclin cofactors are highly expressed in IPCs (Figures 2B and 2C; Table S4). Examination of these cell-cycle-regulation genes in subtypes of IPCs might offer a yardstick for distinguishing neurogenic IPCs from proliferative IPCs.

Figure 2.

Figure 2

Expression of Many Cell-Cycle and Chromatid-Segregation Genes Are Enriched in IPCs

(A) Graphical representation of gene ontology analysis with terms related to cell cycle and segregation of chromatids.

(B and D) List of the genes identified in IPCs that functionally fall under cell-cycle- and chromosome-segregation-related processes, respectively.

(C and E) Respective array of micrographs showing in situ hybridization of examples of the identified genes (highlighted red in B and D) with distinctive expression in the developing mouse cortical subventricular zone, and related to cell-cycle and chromosome-segregation events. Magnified cortical region is shown by a red box in (C). Scale bar, 100 μm.

During cell division, chromosomes need to be segregated and evenly distributed among daughter cells to ensure accurate passing of genetic information to the next generation. In addition to the alterations in mRNA levels for genes involved in cell-cycle regulation, high expression of genes related to DNA replication, repair, and chromatid segregation were observed (Figure 2A and Table S4). Particularly, expression of genes encoding for subunits of the chromosome segregation machinery is highly enriched in IPCs, e.g., Cohesin complex (Sgol1, Sgol2, Smc3, Rec8, Cdca5, and Wapal), Condensin complex (Ncapd2, Ncapd3, Ncapg, Ncaph, Smc2, and Smc4), Minichromosome maintenance complex (Mcm2, Mcm3, Mcm4, Mcm5, Mcm6, Mcm7, and Mms22l), and Smc5-Smc6 complex (Smc5, Smc6, Nsmce2, and Nsmce4a) (Figures 2D and 2E; Table S4). Single gene factors (e.g., Esco2, Spag5, Ncapg) involved in chromosome segregation were also identified in IPCs (Figure 2D and 2E).

The results shown here indicate that the expression of many cell-cycle and chromatid-segregation genes is associated with, and supportive for, the highly active cell division of IPCs.

Many IPC-Enriched Genes Belong to Signaling Pathways

Pathway enrichment analysis revealed that several brain-regulating signaling pathways are significantly enriched in IPC genes, including the p53-Caspase cascade, Hippo, Notch, FoxO, PI3K-Akt, Axon guidance, and Fanconi anemia signaling pathway (Figure 3A). Corroborating the results from the transcriptomics analysis, we confirmed an enrichment of several genes belonging to these signaling pathways in the SVZ (Figures 3B–3Q). The identified signaling pathways may play unique roles in the proliferation, differentiation, and/or survival of IPCs during cortical development.

Figure 3.

Figure 3

IPC-Enriched Genes Encode for Variety of Signaling Pathway Factors

(A) Graphical representation of the top-ranked signaling pathways that are prominent in IPCs.

(B, D, F, H, J, L, N, and P) List of the genes identified in IPCs that are involved in the p53, Caspase, Hippo, Notch, FoxO, PI3K-Akt, Axon guidance, and Fanconi anemia signaling pathways, respectively.

(C, E, G, I, K, M, O, and Q) Respective array of micrographs showing in situ hybridization of examples of the identified signaling pathway-linked genes (highlighted red in the adjoining gene list) with distinctive expression in the developing mouse cortical subventricular zone. Magnified cortical region is shown by a red box in (C). Scale bar, 100 μm.

Cell lineage tracing experiments with TBR2-CreER indicated that the majority of IPC derived clones (∼66%) generate one daughter cell as neuron and another as apoptotic cell, indicating asymmetric cell death (Mihalas and Hevner, 2018). The observed remarkable abundance of apoptosis of IPC daughter cells is in accordance with previous findings of a high level of cell death in the SVZ (Blaschke et al., 1996; Thomaidou et al., 1997). These outcomes are congruent with our GO analysis, which revealed that many genes belonging to the p53 signaling cascade and caspase signaling pathway, which lead to apoptosis, are enriched in IPCs (Figures 3B‒3E and Table S5). Indeed, immunohistochemical analysis indicated a large proportion of CASP3+ cells immunoreactive with TBR2 in the developing mouse cortex at E16.5 (Figure S2), corroborating the finding that more than half the progenies of IPCs undergo apoptotic cell death in the normally developing cortex (Mihalas and Hevner, 2018).

Hippo signaling is necessary for determination of cell fate and organ size (Zheng and Pan, 2019). Emerging evidence shows the involvement of the Hippo signaling alone or cooperatively with other signaling pathways in brain development (Ouyang et al., 2020). As shown in our transcriptomic analysis, genes involved in the Hippo signaling pathway are prominently expressed in IPCs (Figures 3F and 3G) and likely are critical for the regulation of cortical size via control of IPC genesis (Kostic et al., 2019). Other signaling pathways such as the Delta-Notch (Figures 3H and 3I), FoxO (Figures 3J and 3K), PI3K-Akt (Figures 3L and 3M), Axon guidance (Figures 3N and 3O), and Fanconi anemia (Figures 3P and 3Q) were also identified to be enriched in IPCs. These signaling pathways may play critical roles in the normal progression of brain morphogenesis via modulation of IPC biogenesis.

Together, the enrichment of signaling pathway genes in the sorted IPCs is indicative of their necessity in sustaining the neuronal progenitor properties of IPCs in the SVZ niche and to permit their function in cortical morphogenesis.

Identification of New IPC-Specific Transcription and Epigenetic Regulators

Many of the genes identified in IPCs were found to participate in the regulation of transcription, chromatin remodeling, and other epigenetic processes (Figure 4A). We first looked for epigenetic and chromatin regulators, which are highly expressed in IPCs. We found enrichment of epigenetic genes in the sorted IPCs: a total of 66 genes, 25 of which were validated by ISH (Figures 4B and 4C; Table S6). Such epigenetic genes include Deacetylase genes, genes related to the PRC2 complex, and genes encoding for Methyltransferase domain-containing proteins.

Figure 4.

Figure 4

Identification of Novel IPC-Specific Transcription Regulators

(A) Graphical representation of the total number of newly identified genes and their categorization in IPCs that have the potential to regulate transcription.

(B, D, F, and H) List of the genes identified in IPCs that are transcription regulators and can be grouped as epigenetic, chromatin, lncRNA, and transcription factors, respectively.

(C, E, G, and I) Respective array of micrographs showing in situ hybridization of examples of the identified transcription regulation genes (highlighted red in the adjoining gene list) with distinctive expression in the developing mouse cortical subventricular zone. Magnified cortical region is shown by a red box in (C). Scale bar, 100 μm.

(J) Protein-protein interaction network of the IPC-enriched transcription factors (TFs). The list of TFs were imported into the STRING database (http://string-db.org/), and the physical or functional interactions between the differentially expressed transcription factors were extracted using the default settings. The red and blue nodes represent IPC-enriched TFs with log2FC > 1.0 and 0.3 < log2FC < 1.0, respectively. The thin lines indicate low interaction score (<0.4) while the thick lines indicate medium or high interaction score (≥0.4).

A set of IPC genes which encode for protein factors that form complexes to regulate chromatin dynamics was identified. In all we found 52 such genes markedly expressed in IPCs, and with distinctive expression in the SVZ for at least 24 of them (Figures 4D and 4E; Table S6). The identified chromatin-modification-related genes belong to the following classes of chromatin remodelers: SWI/SNF superfamily-type complex, ISWI-type complex, and NuRD/CHD complex (Table S6).

Besides epigenetic and chromatin regulators, our data provided a context to examine the relative contribution of specific non-coding RNAs (ncRNAs) and TFs to IPC identity and/or regulation. We identified 69 known lncRNA and three small nucleolar RNA genes, with significantly higher level of expression in TBR2+ IPCs compared with TBR2 cells (log2FC > 1.0, p < 0.01) (Figures 4F and 4G; Table S6). Among these ncRNAs, ISH analysis confirmed the restricted expression of three lncRNAs (A930024E05Rik, 5330426P16Rik, and 9630028B13Rik, Figure 4G) in SVZ of the developing cortex.

We identified 104 IPC genes encoding TFs belonging to more than four protein families (Figures 4H, 4I, and S3; Table S6). C2H2-type zinc finger protein family was the most enriched protein family, with 47 upregulated genes, followed by basic-helix-loop-helix/Myb and homeobox protein families, with nine upregulated genes each. The LIM TF family genes were also found in the purified IPCs (Figures S3A–S3I). The genes encoding for TFs, which were found to exhibit a high expression in IPCs, included many known key regulators of neurogenesis such as Eomes (Tbr2), Ngn1, Ngn2, NeuroD1, and Bag2, as well as many as yet uncharacterized genes (e.g., Nhlh1, Csrp1, and Mybl2; Figure 4H) that may prove to be novel regulators of cortical development.

Next, we determined which of the TFs interact physically or functionally using the STRING database. This revealed a highly interconnected network formed by IPC-enriched TFs. Several TFs formed a network hub. Among them CBFA2T2, NEUROG2, NEUROG1, STAT3, NEUROD1, and TCF3 appear to be in the center of the network, as they interact with many other TFs (Figure 4J). This raises the possibility that the components of this TF network are key determinants in IPC biogenesis.

Taken together, our findings indicate that major elements of the transcriptional and epigenetic machinery are distinctively present in mouse IPCs.

Gene Expression Profiling Suggests Mutations of IPC-Enriched Genes Have Implications for Cortical Neurodevelopmental Disorders in Human

Recent single-cell transcriptomic analysis of the human developing cortex identified a large set of IPC genes (Fan et al., 2018; Li et al., 2018; Nowakowski et al., 2017; Pollen et al., 2015; Zhong et al., 2018) and IPC lncRNAs (Liu et al., 2016). To further study the developmental and evolutionary origin of the transcriptional signature of IPC cells, we compared these published scRNA data for human developing cortex with those for mouse developing cortex (Kawaguchi et al., 2008; Li et al., 2020; Loo et al., 2019; Telley et al., 2016) and with bulk RNA-seq for mouse TBR2+ IPCs (this study, Figure S4). The comparisons revealed not only a remarkable match between the two species but also highlighted an expanded gene expression program in human IPCs (Figure S4).

Mutations of the IPC-specific gene TBR2 cause microcephaly and a wide range of cortical anomalies in both rodent (Arnold et al., 2008; Mihalas et al., 2016; Sessa et al., 2008) and human (Baala et al., 2007). In addition to congenital microcephaly, the affected individuals presented with dilatation of cerebral ventricles, agenesis of corpus callosum, polymicrogyria, and dysgenic cerebellum (Baala et al., 2007). The affected children also exhibited severe motor deficits, with hypotonia and intellectual disability (Baala et al., 2007).

To identify a potential involvement of these common IPC genes (Figure S4B), which were found both in developing cortices from mouse (this study) and human (Fan et al., 2018; Li et al., 2018; Nowakowski et al., 2017; Pollen et al., 2015; Zhong et al., 2018), in human diseases, we performed systematic human phenotype ontology analysis (Robinson et al., 2008) (Figure 5A). Mutations of many IPC genes were found to be associated with intellectual disability phenotype, thus supporting the idea that the perturbation of many biological pathways in IPCs can undermine cognitive development. To determine possible convergence of the various molecular pathways on intermediate phenotypes within the scope of intellectual disability, including brain structure malformations, we looked for correlated phenotypes among the 134 intellectual disability genes (Figures 5B and 5C; Table S7). We identified two major associated phenotypes: (1) microcephaly and (2) corpus callosum agenesis (Figures 5D–5G and Table S7). This observation supports the findings that IPCs generate most of the cortical projection neurons, especially upper layer/callosal neurons, which are necessary for appropriate cortical size and proper establishment of cortical neuron connections across the corpus callosum.

Figure 5.

Figure 5

Mutation of IPC Genes May Underlie Human Cortical Malformation and Intellectual Disability

(A) Graphical representation of human phenotype ontology for TBR2+ IPCs genes showing the top ten phenotypes and others that follow in ranking.

(B, D, and F) List of the genes identified in IPCs with phenotypic implications for intellectual disabilities, microcephaly, and corpus callosum agenesis, respectively.

(C, E, and G) Respective array of micrographs showing in situ hybridization of examples of genes (highlighted red in the adjoining gene list) with distinctive expression in the developing mouse cortical subventricular zone, and whose dysfunction can lead to abnormal cortical structure and function. CC, corpus callosum. Magnified cortical region is shown by a red box in (C). Scale bar, 100 μm.

(H) Schema showing examples of regulatory factors involved in transcription regulation, signaling pathways in progenitor cells, and those involved in the cell cycle and chromosome segregation that drive cellular processes such as proliferation, differentiation, and apoptosis.

In summary, many gene sets encode for components of the transcriptional, chromatin, and signaling machineries in mouse IPCs, with known or putative regulatory function in cell division, proliferation, differentiation, and survival (Figure 5H). Our data support the possibility that key elements in the mouse IPC transcriptome may be conserved in human and play important roles in cortical development, and their mutations plausibly underlie cortical malformations and dysfunction in both species.

Uncovering ESCO2 as a Novel IPC-Enriched Gene Essential for SVZ Formation and Cortical Neurogenesis

Among the novel IPC genes, Esco2 is in the top 100 IPC most-enriched genes (Table S1). GO analysis also revealed that Esco2 belongs to the top gene categories, including cell cycles, chromatin segregation, transcription regulation, DNA replication, and chromatin organization pathways (Tables S2, S4, S5, S6, and S7). Mechanistically, Esco2 and its ortholog Esco1, encoding for cohesin acetyltransferases, are essential for establishing cohesion between sister chromatids by acetylating the SMC3 subunit of the cohesion ring (Nishiyama et al., 2010; Rolef Ben-Shahar et al., 2008; Unal et al., 2008). In contrast to a highly enriched expression of Esco1 in RGCs in the ventricular zone (VZ) (Figures S5A‒S5C), expression of Esco2 is mostly restricted to IPCs in the SVZ (Figures 1H and 1I; Figures S5D‒S5F). This raises a possibility that ESCO1 and ESCO2 play an important role in biogenesis of RGCs and IPCs, respectively.

To understand the role of selected IPC-specific genes in corticogenesis, we characterized functions of Esco2 in IPC development. Previously it was shown that Esco2 has a critical role in the formation of cortical layers (Whelan et al., 2012b), and its de novo mutations cause primary microcephaly in patients with Roberts syndrome (Vega et al., 2005), suggesting that it might have vital, yet undiscovered, roles in the specification and viability of IPCs and in orchestrating cortical neurogenesis.

To find out the functional significance of ESCO2 during cortical development, we ablated Esco2 gene in the early developing mouse cortex using an Emx-Cre driver (Gorski et al., 2002; Whelan et al., 2012b). Similar to the gradient expression pattern of Emx1, Emx1-Cre activity is found first in the medial-dorsal cortex (MCX and DCX) at E10.5 and extends to the lateral cortex (LCX) from E12.5 onward (Gorski et al., 2002). Because the Emx1-Cre activity differs in different cortical areas, we first examined the cortical phenotype of Esco2cKO (conditional knockout) mutants in MCX and DCX areas (Figure 6A). At E12.5, the ESCO2-ablated cortex displayed a notable reduction in thickness or size compared with control (Figure 6A). A closer examination revealed a reduction in the population of PAX6+ RGCs in the Esco2cKO cortex compared with controls (Figures 6A and 6B). Strikingly, the pool of the TBR2+ IPCs is largely lost in MCX and DCX areas of mutants (Figures 6A and 6B). As indicated by immunostaining for the apoptotic cell marker CASP3, there was overt cell death in the E12.5 Esco2cKO mutant cortex in the examined cortical areas (Figure 6C).

Figure 6.

Figure 6

Lack of ESCO2 Causes Apoptosis of Cortical Progenitors Leading to Disturbance of Cortical Development

(A) Micrographs showing low and high magnification of the E12.5 control (wild-type) and Esco2 cKO cortex immunostained for PAX6 and TBR2. The medial (MCX), dorsal (DCX), and lateral (LCX) aspects of the cortex are indicated. Counterstaining was done with DAPI.

(B) Bar graph showing quantification of PAX6+ and TBR2+ cells in the E12.5 control and Esco2 cKO dorsal cortical area marked with a white box in (A).

(C) Micrographs showing low and high magnification of the E12.5 control and Esco2 cKO cortex immunostained for PAX6, TBR2, and the apoptosis marker CASP3. Counterstaining was done with DAPI. The medial (MCX), dorsal (DCX), and lateral (LCX) aspects of the cortex are indicated. The basal and apical sides of the cortex are shown. Filled arrows point to PAX6+/TBR2+ cells, which are in transition stage between RGCs and IPCs, undergoing apoptosis (CASP3+), whereas empty arrows point to apoptotic (CASP3+) TBR2+ IPCs.

(D and E) Bar graph (D) showing quantification of the number of PAX6+, TBR2+, PAX6/TBR2+, or NEUN+ cells undergoing apoptosis, and composite bar graph (E) showing the quantitative proportion of CASP3+ cells co-expressing PAX6 or TBR2 or NEUN in the lateral cortex (marked with white box in C). Error bars are SEM.

p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001. Experimental replicates (n) = 4 (B) and 6 (D and E). Scale bars, 50 μm (lower panels in A and C) and 200 μm (upper panels in A and C).

In accordance with the Emx1-Cre activity, the cortical phenotype of Esco2cKO mutants appeared milder in LCX than in MCX and DCX (Figures 6A‒6C). Particularly, the population of PAX6+ RGCs and TBR2+ IPCs were reasonably preserved in the cKO LCX (Figures 6A and 6B). In addition, the CASP3+ apoptotic cells were found mostly in the basal side of mutant LCX (Figure 6C). Of note, further differential analysis indicated that majority of the cells undergoing apoptosis in the Esco2cKO LCX were TBR2+ IPCs (Figures 6C‒6E, empty arrows) and cells in transition stage between RGCs and IPCs (i.e., PAX6+ and TBR2+) (Figures 6C‒6E, filled arrows), albeit other cortical cell types such as PAX6+ RGCs and NEUN+ post-mitotic neurons also registered apoptotic activity but to a lesser extent (Figures 6D and 6E).

Given the reduction in the progenitor pool and death of differentiated neurons, we found a drastic decrease in the number of NEUN+ or HuCD+ neurons in the presumptive Esco2cKO cortex compared with control (Figure S6). Our observations are consistent with previous studies, which reported that cortical layers are not formed as a result of ESCO2 abolishment (Whelan et al., 2012b).

Together, this part of our investigation shows that Esco2 is expressed in a subset of PAX6+ RGCs and TBR2+ IPCs in the developing cortex. The expression of Esco2 is required for the viability of these cell populations and their progenies to afford proper cortical histogenesis.

ESCO2 Is Required for Maintenance of the IPC Population in Developing Cortex

Because the loss of ESCO2 in early cortical progenitors in transgenic Esco2cKO mutants caused massive apoptosis and cortical dysgenesis, we were limited in examining the role of ESCO2 at later stages of cortical development. Alternatively, an in utero electroporation (IUE) technique was employed to acutely delete Esco2 from individual RGCs in the developing mouse cortex. The prominent expression of ESCO2 in IPCs and cells in the transition between RGCs and IPCs as well as the massive loss of these cell types following ablation of Esco2 in the early developing cortex in Esco2cKO embryos prompted us to investigate whether ESCO2 influences the cell viability and generation of TBR2+ IPCs from RGCs in late corticogenesis.

The brains of Esco2fl/fl embryos at E15.5 were electroporated either with pCIG2-Cre-ires-GFP (Cre-GFP) or control pCIG2-ires-GFP (GFP) plasmids. The cortices were harvested 30 h post electroporation (i.e., at E16.5) and processed for immunohistological analyses (Figures 7A and 7C). At mid-gestation, RGCs undergo only one division in less than 24 h to produce daughter cells, mainly IPCs in the developing mouse cortex (Noctor et al., 2004). To study the viability of apical progenitor daughter cells and the generation of IPCs from RGCs after deletion of Esco2 in the VZ, we performed triple immunostaining for GFP/PAX6/CASP3 and GFP/TBR2/CASP3 at E16.5 (Figures 7A and 7C).

Figure 7.

Figure 7

Expression of ESCO2 Is Important for Maintenance but Not Generation of IPCs

(A and C) Micrographs at low and high magnification showing GFP, CASP3, and PAX6 (A) or TBR2 (C) immunostaining in the E16.5 Esco2fl/fl mouse cortex electroporated with a GFP-only plasmid as control and GFP-Cre plasmid to delete Esco2 in the transfected cells.

(B and D) Composite bar graphs showing quantitative analysis of the proportion of GFP and CASP3 positive cells with either no/low/high PAX6 expression (B) or with/without TBR2 expression (D).

(E) Bar graphs showing no significant difference between the total number of cells co-expressing GFP and PAX6 or GFP and TBR2 when the control (GFP-only) and knockout (GFP-Cre) cortices are compared. Error bars are SEM.

(F) Schema illustrating the expression of PAX6, TBR2, NEUN, and ESCO2 during differentiation of radial glial progenitors to intermediate progenitors and neurons. The loss of ESCO2 in Esco2cKO_Emx1-Cre seems to cause apoptosis in the late radial glial progenitors (PAX6+/TBR2+), intermediate progenitors (TBR2+), and neurons (NEUN).

NS, not significant. Experimental replicates (n) = 6 (B, D, E). Scale bar, 50 μm.

The electroporated (eGFP+) cells mainly occupied the VZ and the basal half of the cortical wall (i.e., SVZ and intermediate zone [IZ]). In contrast to almost no CASP3+ cells found in control (GFP) plasmid-injected cortex, many CASP3+ apoptotic cells were seen in Cre-electroporated cortex as expected (Figures 7A and 7C). In the Cre-injected cortex, the majority of the GFP+/CASP3+ cells were found to be either negative (∼80.0% ± 11.4%) or low (∼17.6% ± 5.4%) for PAX6 expression (Figures 7A and 7B). On the other hand, the number of GFP+/CASP3+ cells expressing TBR2 was much higher (78.0% ± 9.7%) than those without TBR2 expression (Figures 7C and 7D). The findings further support the idea that expression of ESCO2 is required for TBR2+ IPC viability and those of committed RGCs (with low PAX6 expression) to generate IPCs in both early and late cortical development.

Interestingly, there was no significant difference between the GFP- and Cre-GFP-electroporated cortex in terms of the number of transfected cells (GFP+) expressing PAX6 or TBR2 (Figure 7E). Thus, ESCO2 is dispensable for the differentiation of RGCs, which are low in Esco2 expression (Figures 7F and S5), into IPCs. This implies that following the acute deletion of Esco2, IPCs as progenies of PAX6-expressing RGCs are likely normally formed but fail to survive. It is also conceivable that NEUN+ or HuCD+ neurons that manage to differentiate from the ESCO2-deficient cortical neural progenitors, especially IPCs, are unhealthy and subsequently die via apoptosis (Figures 7F and S6).

Taking our data together, we show that ESCO2 expression is essential for the maintenance of IPCs and proper neurogenesis during cortical development.

Discussion

Transcriptome analyses of molecularly sorted cells can enhance the identification of cell-type-specific factors, which can help us understand the molecular landscape in cell lineages. In this study, we report the molecular characterization of the evolutionarily and clinically important IPCs in the developing mouse cortex. We identified distinct sets of largely uncharacterized genes that exhibit enriched expression in IPCs among other cell types in the developing cortex. The set of genes were found to belong to transcription regulators, chromatin and epigenetic factors, signaling factors, and chromosome segregation (cell cycle) regulators. These genes encode critically important molecules for proper proliferation, differentiation, and maintenance of IPCs. Even though our understanding of the contribution of IPCs in cortical development has improved, several key questions remain enigmatic (Hevner, 2019). Our study represents the first comprehensive characterization of the molecular signature of IPCs in developing mouse cortex. The findings provide hints for future investigation to resolve the many unanswered questions.

Previous studies indicate that more than half of the IPC daughter cells undergo apoptosis during corticogenesis (Hevner, 2019; Mihalas and Hevner, 2018). The relevance of this phenomenon is undetermined; however, it might be associated with the regulation of the net neurogenic output, genome quality, neuronal subtype proportions during cortical development, and cortical evolution (Haydar et al., 1999; Hevner, 2019). The observed abundance of apoptotic cells among intermediate progenitor daughter cells harmonizes with previous reports documenting marked cell death in the SVZ and IZ of embryonic rodent cortex (Blaschke et al., 1996; Thomaidou et al., 1997). Along the same line of evidence, our GO analysis revealed that genes belonging to the caspase cascade in apoptosis are enriched in IPCs. Remarkably, disruption of the caspase cascade leads to decreased programmed cell death resulting in neuronal supernumerary, which likely accounts for the expansion and exencephaly of the forebrain, and cerebral gyrification (Kuida et al., 1996, 1998). Conversely, dysregulation of chromosomal segregation can cause an increase in neural progenitor cell death, leading to loss of neurons as exemplified in our Esco2 case study. Thus, the proper coordination of the various aspects of the apoptosis signaling pathway, especially during embryonic neurogenesis, is essential for the determination of normal cortical size and form. Given the critical contribution of apoptosis to correct progression of cortical morphogenesis, it would be of great interest for future investigations to elucidate the precise mechanisms that trigger apoptotic cell death of neural cells during cortical development.

Notably, our validation investigations revealed that lack of Esco2, one of the identified IPC-enriched genes results in striking loss of IPCs, leading to the failure of proper formation of the cortex. By using different model systems such as yeast, primary mouse embryonic fibroblasts, and human cells (HeLa and 293T human embryonic kidney cells), previous studies reported that ESCO2 is crucial for sister chromatid tethering (Hou and Zou, 2005; Terret et al., 2009; Vega et al., 2005; Whelan et al., 2012a, 2012b). It is known to do so via its catalytic function in cohesin acetylation that ensures proper cohesion between sister chromatids. Indeed, dysfunction of ESCO2 has been shown to result in loss of cohesion at heterochromatic regions of centromeres, leading to defective localization of cohesin on chromosomes and apoptosis (Hou and Zou, 2005; Terret et al., 2009; Vega et al., 2005). In developing mouse cortex, a highly enriched expression of Esco1 and Esco2 was found in RGCs in VZ and in IPCs in SVZ, respectively. This suggests a possibility that the cohesin acetyltransferases ESCO1 and ESCO2 are key cell viability factors, which act by maintaining the appropriate cohesion in pericentric heterochromatin in RGC and IPC populations. Indeed, our findings indicate that ESCO2 is indispensable for IPC maintenance and demonstrate the identification of a central genetic determinant of IPC biogenesis in the developing mouse cortex.

In conclusion, our transcriptome data provide a crucial resource for further investigations aimed at understanding how IPC-related genetic factors contribute to cortical development and their implication for neurological disorders. Moreover, because IPCs are believed to be responsible for a large portion of mammalian corticogenesis, and the size of the IPC-laden SVZ correlates with brain phylogeny, future studies can look into the role of the identified IPC genes in cortical evolution.

Experimental procedures

TBR2+ Nuclei Sorting Protocol for Transcriptomic Data Generation from Embryonic Mouse Brain

Cells expressing TBR2 in the E16.5 mouse cortex were isolated by FACS and profiled using RNA sequencing. The detailed protocol is reported in Sakib et al. (2021). The experiment was carried out using three biological replicates.

RNA Sequencing and Bioinformatics Analysis

Sorted nuclei were collected into non-specific binding coated Falcon tubes and pelleted via brief centrifugation, and the RNA was isolated using a TRIzol LS (Invitrogen) protocol along with aqueous phase cleanup using a Zymo RNA Clean & Concentrator-5 kit. RNA-seq libraries were prepared using a Takara SMART-Seq v4 Ultra Low Input RNA kit using 1 ng of RNA according to the manufacturer's protocol. Base calling, fastq conversion, quality control, and read alignments were all performed as outlined previously (Narayanan et al., 2015; Nguyen et al., 2018). Reads were aligned to mouse genome mm10 and counted using FeaturesCount (http://bioinf.wehi.edu.au/featureCounts/). Further descriptions of informatics analyses are provided in supplemental experimental procedures.

Transgenic Mice and In Utero Electroporation

Floxed Esco2 (Whelan et al., 2012b) and Emx1-Cre (Gorski et al., 2002) mice were maintained in a C57BL6/J background. Animals were handled according to the German Animal Protection Law. IUE was performed as described previously (Tuoc and Stoykova, 2008; Tuoc et al., 2013).

Plasmids and Antibodies

A list of plasmids and antibodies with detailed descriptions is provided in supplemental experimental procedures.

Immunohistochemistry and In Situ Hybridization Validation

Immunohistochemistry (IHC) and ISH were performed as previously described (Bachmann et al., 2016; Tuoc et al., 2013; Visel et al., 2004). In brief, sections for IHC were incubated overnight with primary antibody at 4°C after blocking with normal sera of the appropriate species. Primary antibodies were detected with a fluorescent secondary antibody (Alexa Fluor, 1:400; Invitrogen). Sections were later counterstained with Vectashield mounting medium containing DAPI (4′,6-diamidino-2-phenylindole; Vector Laboratories) to label nuclei.

A detail ISH protocol with different conditions was described in our previous study (Visel et al., 2004) and can be found in our online digital atlas (https://gp3.mpg.de). The template sequence and ISH conditions are described in the webpage for each gene.

Imaging, Quantification, Statistical Analysis, and Data Availability

Micrographs were obtained by confocal fluorescence microscopy (TCS SP5, Leica) and analyzed using an Axio Imager M2 (Zeiss) with a Neurolucida system. Images were processed further using Adobe Photoshop. The statistical quantification was carried out as average from at least three biological replicates. Detailed statistical analyses and descriptions of histological experiments are presented in Table S8. The in situ expressions of all the identified IPC genes are freely available online (https://gp3.mpg.de) in an interactive database.

Accession Numbers

All RNA-seq data have been deposited in the Gene Expression Omnibus under accession number GEO: GSE168298.

Author contributions

M.S.S., C.K., and A.F. established TBR2+ cell sorting and RNA-seq. P.A.U., L.P., G.S., Y.X., J.R., and X.M. analyzed RNA-seq data and mouse phenotype. P.D. and G.E. contributed to generation of Esco2cKO line and histological analysis, and provided ISH data. J.F.S., G.E., U.T., A.F., H.P.N. provided research tools and offered discussions for the study. T.T. conceived the study. T.T. and G.S. wrote the manuscript.

Declaration of interests

The authors declare no competing interests.

Acknowledgments

We acknowledge U. Kunze and C. Heuchel for their expert animal care. We thank K. Jones for providing reagents and M. Witte for helpful discussions. This work was supported by TU432/1-1, TU432/3-1, TU432/6-1 DFG grants (T.T.), and Schram-Stiftung (T.T.). A.F. was supported by the DZNE, the ERC consolidator grant DEPICODE (648898), SFB1286. and the DFG under Germany's Excellence Strategy-EXC 2067/1390729940.

Published: April 1, 2021

Footnotes

Supplemental information can be found online at https://doi.org/10.1016/j.stemcr.2021.03.008.

Supplemental information

Document S1. Supplemental Experimental Procedures and Figures S1–S6
mmc1.pdf (1.8MB, pdf)
Table S1. Differential Gene Expression between TBR2+ IPCs and TBR2 Cells, Related to Figure 1
mmc2.xlsx (8.3MB, xlsx)
Table S2. Selected Gene Ontology Categories Significantly Enriched for TBR2+ IPC Genes Compared with TBR2 Cell Genes, Related to Figure 1
mmc3.xlsx (4.9MB, xlsx)
Table S3. List of Validated IPC Genes with Their Restricted Expression in SVZ, Related to Figure 1
mmc4.xlsx (27.7KB, xlsx)
Table S4. List of Cell-Cycle- and Chromosome-Segregation-Related Genes Enriched in TBR2+ IPCs, Related to Figure 2
mmc5.xlsx (30.2KB, xlsx)
Table S5. List of Apoptosis-Related Genes Enriched in TBR2+ IPCs, Related to Figure 3
mmc6.xlsx (10.6KB, xlsx)
Table S6. List of TF-, Chromatin Remodeling-, Epigenetic-, and lncRNA-Related Genes Enriched in TBR2+ IPCs, Related to Figure 4
mmc7.xlsx (34.2KB, xlsx)
Table S7. List of Microcephaly-Linked Genes Enriched in TBR2+ IPCs, Related to Figure 5
mmc8.xlsx (113.1KB, xlsx)
Table S8. Statistical Analyses, Related to Figures 1, 6, 7, S2, and S6
mmc9.xlsx (94.6KB, xlsx)
Document S2. Article plus Supplemental information
mmc10.pdf (10MB, pdf)

References

  1. Albert M., Kalebic N., Florio M., Lakshmanaperumal N., Haffner C., Brandl H., Henry I., Huttner W.B. Epigenome profiling and editing of neocortical progenitor cells during development. EMBO J. 2017;36:2642–2658. doi: 10.15252/embj.201796764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Amamoto R., Zuccaro E., Curry N.C., Khurana S., Chen H.H., Cepko C.L., Arlotta P. FIN-Seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system. Nucleic Acids Res. 2020;48:e4. doi: 10.1093/nar/gkz968. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Arlotta P., Molyneaux B.J., Chen J., Inoue J., Kominami R., Macklis J.D. Neuronal subtype-specific genes that control corticospinal motor neuron development in vivo. Neuron. 2005;45:207–221. doi: 10.1016/j.neuron.2004.12.036. [DOI] [PubMed] [Google Scholar]
  4. Arnold S.J., Huang G.J., Cheung A.F., Era T., Nishikawa S., Bikoff E.K., Molnar Z., Robertson E.J., Groszer M. The T-box transcription factor Eomes/Tbr2 regulates neurogenesis in the cortical subventricular zone. Genes Dev. 2008;22:2479–2484. doi: 10.1101/gad.475408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Baala L., Briault S., Etchevers H.C., Laumonnier F., Natiq A., Amiel J., Boddaert N., Picard C., Sbiti A., Asermouh A. Homozygous silencing of T-box transcription factor EOMES leads to microcephaly with polymicrogyria and corpus callosum agenesis. Nat. Genet. 2007;39:454–456. doi: 10.1038/ng1993. [DOI] [PubMed] [Google Scholar]
  6. Bachmann C., Nguyen H., Rosenbusch J., Pham L., Rabe T., Patwa M., Sokpor G., Seong R.H., Ashery-Padan R., Mansouri A. mSWI/SNF (BAF) complexes are indispensable for the neurogenesis and development of embryonic olfactory epithelium. PLoS Genet. 2016;12:e1006274. doi: 10.1371/journal.pgen.1006274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Blaschke A.J., Staley K., Chun J. Widespread programmed cell death in proliferative and postmitotic regions of the fetal cerebral cortex. Development. 1996;122:1165–1174. doi: 10.1242/dev.122.4.1165. [DOI] [PubMed] [Google Scholar]
  8. Fan X., Dong J., Zhong S., Wei Y., Wu Q., Yan L., Yong J., Sun L., Wang X., Zhao Y. Spatial transcriptomic survey of human embryonic cerebral cortex by single-cell RNA-seq analysis. Cell Res. 2018;28:730–745. doi: 10.1038/s41422-018-0053-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Gorski J.A., Talley T., Qiu M., Puelles L., Rubenstein J.L., Jones K.R. Cortical excitatory neurons and glia, but not GABAergic neurons, are produced in the Emx1-expressing lineage. J. Neurosci. 2002;22:6309–6314. doi: 10.1523/JNEUROSCI.22-15-06309.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Haubensak W., Attardo A., Denk W., Huttner W.B. Neurons arise in the basal neuroepithelium of the early mammalian telencephalon: a major site of neurogenesis. Proc. Natl. Acad. Sci. U S A. 2004;101:3196–3201. doi: 10.1073/pnas.0308600100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Haydar T.F., Kuan C.Y., Flavell R.A., Rakic P. The role of cell death in regulating the size and shape of the mammalian forebrain. Cereb. Cortex. 1999;9:621–626. doi: 10.1093/cercor/9.6.621. [DOI] [PubMed] [Google Scholar]
  12. Hevner R.F. Intermediate progenitors and Tbr2 in cortical development. J. Anat. 2019;235:616–625. doi: 10.1111/joa.12939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Hou F., Zou H. Two human orthologues of Eco1/Ctf7 acetyltransferases are both required for proper sister-chromatid cohesion. Mol. Biol. Cell. 2005;16:3908–3918. doi: 10.1091/mbc.E04-12-1063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Kawaguchi A., Ikawa T., Kasukawa T., Ueda H.R., Kurimoto K., Saitou M., Matsuzaki F. Single-cell gene profiling defines differential progenitor subclasses in mammalian neurogenesis. Development. 2008;135:3113–3124. doi: 10.1242/dev.022616. [DOI] [PubMed] [Google Scholar]
  15. Kostic M., Paridaen J., Long K.R., Kalebic N., Langen B., Grubling N., Wimberger P., Kawasaki H., Namba T., Huttner W.B. YAP activity is necessary and sufficient for basal progenitor abundance and proliferation in the developing neocortex. Cell Rep. 2019;27:1103–1118 e1106. doi: 10.1016/j.celrep.2019.03.091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Kowalczyk T., Pontious A., Englund C., Daza R.A., Bedogni F., Hodge R., Attardo A., Bell C., Huttner W.B., Hevner R.F. Intermediate neuronal progenitors (basal progenitors) produce pyramidal-projection neurons for all layers of cerebral cortex. Cereb. Cortex. 2009;19:2439–2450. doi: 10.1093/cercor/bhn260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Kuida K., Haydar T.F., Kuan C.Y., Gu Y., Taya C., Karasuyama H., Su M.S., Rakic P., Flavell R.A. Reduced apoptosis and cytochrome c-mediated caspase activation in mice lacking caspase 9. Cell. 1998;94:325–337. doi: 10.1016/s0092-8674(00)81476-2. [DOI] [PubMed] [Google Scholar]
  18. Kuida K., Zheng T.S., Na S., Kuan C., Yang D., Karasuyama H., Rakic P., Flavell R.A. Decreased apoptosis in the brain and premature lethality in CPP32-deficient mice. Nature. 1996;384:368–372. doi: 10.1038/384368a0. [DOI] [PubMed] [Google Scholar]
  19. Li M., Santpere G., Imamura Kawasawa Y., Evgrafov O.V., Gulden F.O., Pochareddy S., Sunkin S.M., Li Z., Shin Y., Zhu Y. Integrative functional genomic analysis of human brain development and neuropsychiatric risks. Science. 2018;362:eaat7615. doi: 10.1126/science.aat7615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Li Z., Tyler W.A., Zeldich E., Santpere Baro G., Okamoto M., Gao T., Li M., Sestan N., Haydar T.F. Transcriptional priming as a conserved mechanism of lineage diversification in the developing mouse and human neocortex. Sci. Adv. 2020;6:eabd2068. doi: 10.1126/sciadv.abd2068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Liu S.J., Nowakowski T.J., Pollen A.A., Lui J.H., Horlbeck M.A., Attenello F.J., He D., Weissman J.S., Kriegstein A.R., Diaz A.A. Single-cell analysis of long non-coding RNAs in the developing human neocortex. Genome Biol. 2016;17:67. doi: 10.1186/s13059-016-0932-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Loo L., Simon J.M., Xing L., McCoy E.S., Niehaus J.K., Guo J., Anton E.S., Zylka M.J. Single-cell transcriptomic analysis of mouse neocortical development. Nat. Commun. 2019;10:134. doi: 10.1038/s41467-018-08079-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Mihalas A.B., Elsen G.E., Bedogni F., Daza R.A.M., Ramos-Laguna K.A., Arnold S.J., Hevner R.F. Intermediate progenitor cohorts differentially generate cortical layers and require Tbr2 for timely acquisition of neuronal subtype identity. Cell Rep. 2016;16:92–105. doi: 10.1016/j.celrep.2016.05.072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Mihalas A.B., Hevner R.F. Clonal analysis reveals laminar fate multipotency and daughter cell apoptosis of mouse cortical intermediate progenitors. Development. 2018;145:dev164335. doi: 10.1242/dev.164335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Miyata T., Kawaguchi A., Saito K., Kawano M., Muto T., Ogawa M. Asymmetric production of surface-dividing and non-surface-dividing cortical progenitor cells. Development. 2004;131:3133–3145. doi: 10.1242/dev.01173. [DOI] [PubMed] [Google Scholar]
  26. Molyneaux B.J., Goff L.A., Brettler A.C., Chen H.H., Hrvatin S., Rinn J.L., Arlotta P. DeCoN: genome-wide analysis of in vivo transcriptional dynamics during pyramidal neuron fate selection in neocortex. Neuron. 2015;85:275–288. doi: 10.1016/j.neuron.2014.12.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Narayanan R., Pirouz M., Kerimoglu C., Pham L., Wagener R.J., Kiszka K.A., Rosenbusch J., Seong R.H., Kessel M., Fischer A. Loss of BAF (mSWI/SNF) complexes causes global transcriptional and chromatin state changes in forebrain development. Cell Rep. 2015;13:1842–1854. doi: 10.1016/j.celrep.2015.10.046. [DOI] [PubMed] [Google Scholar]
  28. Nguyen H., Kerimoglu C., Pirouz M., Pham L., Kiszka K.A., Sokpor G., Sakib M.S., Rosenbusch J., Teichmann U., Seong R.H. Epigenetic regulation by BAF complexes limits neural stem cell proliferation by suppressing wnt signaling in late embryonic development. Stem Cell Rep. 2018;10:1734–1750. doi: 10.1016/j.stemcr.2018.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Nishiyama T., Ladurner R., Schmitz J., Kreidl E., Schleiffer A., Bhaskara V., Bando M., Shirahige K., Hyman A.A., Mechtler K. Sororin mediates sister chromatid cohesion by antagonizing Waal. Cell. 2010;143:737–749. doi: 10.1016/j.cell.2010.10.031. [DOI] [PubMed] [Google Scholar]
  30. Noctor S.C., Martinez-Cerdeno V., Ivic L., Kriegstein A.R. Cortical neurons arise in symmetric and asymmetric division zones and migrate through specific phases. Nat. Neurosci. 2004;7:136–144. doi: 10.1038/nn1172. [DOI] [PubMed] [Google Scholar]
  31. Nowakowski T.J., Bhaduri A., Pollen A.A., Alvarado B., Mostajo-Radji M.A., Di Lullo E., Haeussler M., Sandoval-Espinosa C., Liu S.J., Velmeshev D. Spatiotemporal gene expression trajectories reveal developmental hierarchies of the human cortex. Science. 2017;358:1318–1323. doi: 10.1126/science.aap8809. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Ouyang T., Meng W., Li M., Hong T., Zhang N. Recent advances of the Hippo/YAP signaling pathway in brain development and glioma. Cell. Mol. Neurobiol. 2020;40:495–510. doi: 10.1007/s10571-019-00762-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Pinto L., Mader M.T., Irmler M., Gentilini M., Santoni F., Drechsel D., Blum R., Stahl R., Bulfone A., Malatesta P. Prospective isolation of functionally distinct radial glial subtypes—lineage and transcriptome analysis. Mol. Cell. Neurosci. 2008;38:15–42. doi: 10.1016/j.mcn.2008.01.012. [DOI] [PubMed] [Google Scholar]
  34. Pollen A.A., Nowakowski T.J., Chen J., Retallack H., Sandoval-Espinosa C., Nicholas C.R., Shuga J., Liu S.J., Oldham M.C., Diaz A. Molecular identity of human outer radial glia during cortical development. Cell. 2015;163:55–67. doi: 10.1016/j.cell.2015.09.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Robinson P.N., Kohler S., Bauer S., Seelow D., Horn D., Mundlos S. The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease. Am. J. Hum. Genet. 2008;83:610–615. doi: 10.1016/j.ajhg.2008.09.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Rolef Ben-Shahar T., Heeger S., Lehane C., East P., Flynn H., Skehel M., Uhlmann F. Eco1-dependent cohesin acetylation during establishment of sister chromatid cohesion. Science. 2008;321:563–566. doi: 10.1126/science.1157774. [DOI] [PubMed] [Google Scholar]
  37. Sakib M.S., Sokpor G., Nguyen H.P., Fischer A., Tuoc T. Intranuclear immunostaining-based FACS protocol from embryonic cortical tissue. STAR Protoc. 2021;2:100318. doi: 10.1016/j.xpro.2021.100318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Sessa A., Mao C.A., Hadjantonakis A.K., Klein W.H., Broccoli V. Tbr2 directs conversion of radial glia into basal precursors and guides neuronal amplification by indirect neurogenesis in the developing neocortex. Neuron. 2008;60:56–69. doi: 10.1016/j.neuron.2008.09.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Telley L., Govindan S., Prados J., Stevant I., Nef S., Dermitzakis E., Dayer A., Jabaudon D. Sequential transcriptional waves direct the differentiation of newborn neurons in the mouse neocortex. Science. 2016;351:1443–1446. doi: 10.1126/science.aad8361. [DOI] [PubMed] [Google Scholar]
  40. Terret M.E., Sherwood R., Rahman S., Qin J., Jallepalli P.V. Cohesin acetylation speeds the replication fork. Nature. 2009;462:231–234. doi: 10.1038/nature08550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Thomaidou D., Mione M.C., Cavanagh J.F., Parnavelas J.G. Apoptosis and its relation to the cell cycle in the developing cerebral cortex. J. Neurosci. 1997;17:1075–1085. doi: 10.1523/JNEUROSCI.17-03-01075.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Tuoc T.C., Stoykova A. Trim11 modulates the function of neurogenic transcription factor Pax6 through ubiquitin-proteosome system. Gene Dev. 2008;22:1972–1986. doi: 10.1101/gad.471708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Tuoc T.C., Boretius S., Sansom S.N., Pitulescu M.E., Frahm J., Livesey F.J., Stoykova A. Chromatin regulation by BAF170 controls cerebral cortical size and thickness. Dev. Cell. 2013;25:256–269. doi: 10.1016/j.devcel.2013.04.005. [DOI] [PubMed] [Google Scholar]
  44. Unal E., Heidinger-Pauli J.M., Kim W., Guacci V., Onn I., Gygi S.P., Koshland D.E. A molecular determinant for the establishment of sister chromatid cohesion. Science. 2008;321:566–569. doi: 10.1126/science.1157880. [DOI] [PubMed] [Google Scholar]
  45. Vega H., Waisfisz Q., Gordillo M., Sakai N., Yanagihara I., Yamada M., van Gosliga D., Kayserili H., Xu C., Ozono K. Roberts syndrome is caused by mutations in ESCO2, a human homolog of yeast ECO1 that is essential for the establishment of sister chromatid cohesion. Nat. Genet. 2005;37:468–470. doi: 10.1038/ng1548. [DOI] [PubMed] [Google Scholar]
  46. Visel A., Thaller C., Eichele G. GenePaint.org: an atlas of gene expression patterns in the mouse embryo. Nucleic Acids Res. 2004;32:D552–D556. doi: 10.1093/nar/gkh029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Whelan G., Kreidl E., Peters J.M., Eichele G. The non-redundant function of cohesin acetyltransferase Esco2: some answers and new questions. Nucleus. 2012;3:330–334. doi: 10.4161/nucl.20440. [DOI] [PubMed] [Google Scholar]
  48. Whelan G., Kreidl E., Wutz G., Egner A., Peters J.M., Eichele G. Cohesin acetyltransferase Esco2 is a cell viability factor and is required for cohesion in pericentric heterochromatin. EMBO J. 2012;31:71–82. doi: 10.1038/emboj.2011.381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Zheng Y., Pan D. The Hippo signaling pathway in development and disease. Dev. Cell. 2019;50:264–282. doi: 10.1016/j.devcel.2019.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Zhong S., Zhang S., Fan X., Wu Q., Yan L., Dong J., Zhang H., Li L., Sun L., Pan N. A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex. Nature. 2018;555:524–528. doi: 10.1038/nature25980. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Document S1. Supplemental Experimental Procedures and Figures S1–S6
mmc1.pdf (1.8MB, pdf)
Table S1. Differential Gene Expression between TBR2+ IPCs and TBR2 Cells, Related to Figure 1
mmc2.xlsx (8.3MB, xlsx)
Table S2. Selected Gene Ontology Categories Significantly Enriched for TBR2+ IPC Genes Compared with TBR2 Cell Genes, Related to Figure 1
mmc3.xlsx (4.9MB, xlsx)
Table S3. List of Validated IPC Genes with Their Restricted Expression in SVZ, Related to Figure 1
mmc4.xlsx (27.7KB, xlsx)
Table S4. List of Cell-Cycle- and Chromosome-Segregation-Related Genes Enriched in TBR2+ IPCs, Related to Figure 2
mmc5.xlsx (30.2KB, xlsx)
Table S5. List of Apoptosis-Related Genes Enriched in TBR2+ IPCs, Related to Figure 3
mmc6.xlsx (10.6KB, xlsx)
Table S6. List of TF-, Chromatin Remodeling-, Epigenetic-, and lncRNA-Related Genes Enriched in TBR2+ IPCs, Related to Figure 4
mmc7.xlsx (34.2KB, xlsx)
Table S7. List of Microcephaly-Linked Genes Enriched in TBR2+ IPCs, Related to Figure 5
mmc8.xlsx (113.1KB, xlsx)
Table S8. Statistical Analyses, Related to Figures 1, 6, 7, S2, and S6
mmc9.xlsx (94.6KB, xlsx)
Document S2. Article plus Supplemental information
mmc10.pdf (10MB, pdf)

Articles from Stem Cell Reports are provided here courtesy of Elsevier

RESOURCES