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. Author manuscript; available in PMC: 2022 Dec 1.
Published in final edited form as: Dev Biol. 2021 Aug 19;480:39–49. doi: 10.1016/j.ydbio.2021.08.010

YAP/TAZ Maintain the Proliferative Capacity and Structural Organization of Radial Glial Cells during Brain Development

Alfonso Lavado a, Ruchika Gangwar a, Joshua Paré a, Shibiao Wan b, Yiping Fan b, Xinwei Cao a,*
PMCID: PMC8530921  NIHMSID: NIHMS1735748  PMID: 34419458

Abstract

The Hippo pathway regulates the development and homeostasis of many tissues and in many species. It controls the activity of two paralogous transcriptional coactivators, YAP and TAZ (YAP/TAZ). Although previous studies have established that aberrant YAP/TAZ activation is detrimental to mammalian brain development, whether and how endogenous levels of YAP/TAZ activity regulate brain development remain unclear. Here, we show that during mammalian cortical development, YAP/TAZ are specifically expressed in apical neural progenitor cells known as radial glial cells (RGCs). The subcellular localization of YAP/TAZ undergoes dynamic changes as corticogenesis proceeds. YAP/TAZ are required for maintaining the proliferative potential and structural organization of RGCs, and their ablation during cortical development reduces the numbers of cortical projection neurons and causes the loss of ependymal cells, resulting in hydrocephaly. Transcriptomic analysis using sorted RGCs reveals gene expression changes in YAP/TAZ-depleted cells that correlate with mutant phenotypes. Thus, our study has uncovered essential functions of YAP/TAZ during mammalian brain development and revealed the transcriptional mechanism of their action.

Keywords: neurogenesis, neuroepithelium, neural development, neocortex, radial glia, MARIS (method for analyzing RNA following intracellular sorting)

Graphical Abstract

graphic file with name nihms-1735748-f0001.jpg

Introduction

All neurons and macroglia (astrocytes and oligodendrocytes) in the mammalian central nervous system (CNS) are derived from apical neural progenitor cells, which are also referred to as neuroepithelial cells and radial glial cells (RGCs) [reviewed in (Kriegstein and Alvarez-Buylla, 2009; Taverna et al., 2014; Villalba et al., 2021)]. These cells are organized as an epithelial sheet, with their cell bodies lining the lumen of the developing neural tube and forming the region known as the ventricular zone (VZ), their neighboring apical endfeet connecting with each other through tight junctions or adherens junctions at the ventricular surface, and their basal radial processes touching the pial basement membrane. At the early stages of cortical development (e.g., before embryonic days [E] 11–12 in mice), RGCs predominantly undergo symmetric proliferative division to expand the progenitor pool. They then mostly shift to asymmetric neurogenic division to self-renew and simultaneously produce neurons either directly or indirectly via intermediate progenitor cells (IPCs), which divide in the subventricular zone (SVZ) to produce more neurons. Towards the late stages of cortical development, RGCs mostly undergo terminal neurogenic division to exit the cell cycle, with a small fraction converting to glial progenitor cells and ependymal cells. Newborn neurons migrate outward through the intermediate zone (IZ) and settle at appropriate locations in the cortical plate to complete their differentiation, with early-born neurons occupying deep cortical layers and late-born neurons occupying upper layers.

The properties and behaviors of neural progenitor cells, such as their proliferation, differentiation, metabolism, and structural organization, are intricately regulated to ensure the generation of a nervous system composed of the correct types and numbers of cells that are properly organized and connected. One node of this regulation is the Hippo pathway. Through complex signaling cascades, the Hippo pathway ultimately controls the activity of two paralogous transcriptional coactivators called YAP and TAZ (YAP/TAZ). When activated, YAP/TAZ enter the nucleus and interact with DNA-binding factors, mainly the TEAD factors, to regulate gene expression, often leading to increased cell proliferation and tissue growth or even tumorigenesis [reviewed in (Zheng and Pan, 2019)]. YAP/TAZ activity is tightly controlled during murine cortical development. When their activity is elevated by the loss of the neurofibromatosis type 2 (NF2/Merlin) tumor suppressor, neural progenitors overexpand and the differentiation of some neuronal and glial cell types is perturbed, resulting in impaired morphogenesis of the hippocampus and agenesis of the corpus callosum (Lavado et al., 2013; Lavado et al., 2014). The loss of partitioning defective 3 (PARD3), a protein involved in asymmetric cell division, upregulates YAP/TAZ activity during early stages of cortical development, resulting in ectopic RGC production and the formation of abnormal neuron clusters known as heterotopia (Liu et al., 2018). Removal of centrosomal protein 83 (CEP83) also activates YAP and causes excessive proliferation of RGCs, which leads to the formation of an enlarged cortex with abnormal folding (Shao et al., 2020). Most strikingly, when YAP/TAZ activity is unleashed by the inactivation of LATS1 and LATS2—the direct inhibitors of YAP/TAZ and the gatekeepers of YAP/TAZ activity—neural progenitor cells over-proliferate transiently and quickly undergo massive cell death due to the replication stress triggered by global hypertranscription (Lavado et al., 2018).

Although these findings demonstrate the importance of restraining YAP/TAZ activity to enable normal cortical development, the role of endogenous YAP/TAZ activity in cortical RGCs—whether YAP/TAZ are necessary in cortical RGCs and whether they are required for proper gene expression in RGCs—has not been analyzed carefully. In Yap conditional knockout (cKO) mice in which Yap is deleted by the Nestin-Cre line, which expresses the Cre recombinase in neural progenitor cells throughout the CNS starting at approximately E10.5 (Tronche et al., 1999), the proliferation and number of cortical RGCs are not affected (Huang et al., 2016; Park et al., 2016). Instead, astrocyte proliferation is reduced (Huang et al., 2016) and the generation of ependymal cells lining the aqueduct is impaired (Park et al., 2016). However, TAZ function remains intact in these Yap cKO mice and may compensate for the loss of YAP in cortical RGCs.

In this study, we found that deleting both Yap and Taz in murine cortical RGCs severely perturbed cortical development. YAP/TAZ loss slowed the cell-cycle speed of RGCs and caused premature cell-cycle exit, resulting in reduced numbers of cortical projection neurons. YAP/TAZ loss also impaired the structural organization of the progenitor zone and caused loss of ependymal cells. Our RNA-sequencing analysis of sorted RGCs revealed gene expression changes in YAP/TAZ-depleted RGCs that correlated with mutant phenotypes, uncovering the transcriptional basis for the functions of YAP/TAZ during cortical development.

Materials and Methods

Mice.

YapF/F;TazF/F mice were obtained from Dr. Eric Olson (University of Texas Southwestern Medical Center at Dallas) (Xin et al., 2011). Emx1-Cre mice were obtained from The Jackson Laboratory (stock #005628). All mice were maintained in a mixed genetic background. All animal procedures were approved by the Institutional Animal Care and Use Committee of St. Jude Children’s Research Hospital. Mouse housing and husbandry conditions followed the standards set by the Animal Resource Center at St. Jude Children’s Research Hospital.

Western blot analysis.

E14.5 mouse cortices were dissected, and total cell lysates were prepared in 20 mM HEPES (pH 7.4), 150 mM NaCl, 2% SDS, and 5% glycerol supplemented with AEBSF (Sigma-Aldrich A8456) and Halt protease and phosphatase inhibitors (Thermo Fisher Scientific #78440). Protein concentrations were measured by BCA assay (Thermo #23225). 20 μg of protein per lane were subjected to SDS-PAGE and probed with the following primary antibodies: YAP (Cell Signaling Technology #8418, 1:500), YAP/TAZ (Cell Signaling #4912, 1:500), and GAPDH (Cell Signaling #2118, 1:5000).

Histology, immunostaining, and TUNEL assay.

Embryonic mouse brains were dissected in PBS and fixed overnight in 4% paraformaldehyde (PFA) at 4°C. Postnatal animals were perfused with 0.9% saline and PFA, and their brains were dissected and fixed in PFA overnight at 4°C. Histology, immunostaining, and TUNEL assay were performed as described previously (Lavado et al., 2018). Luxol blue and cresyl violet staining was performed using the Kluver-Barrera method (EMS #26681). The primary antibodies used were: YAP/TAZ (Cell Signaling #8418, 1:500), YAP (Cell Signaling #14074, 1:250), TAZ (Cell Signaling #83669, 1:100 with the Tyramide SuperBoost Kit, Invitrogen #B40922), SOX2 (Santa Cruz Biotechnology #SC17320, 1:100), SOX2–Alexa-647 (BD Biosciences #562139, 1:100), TBR2 (Thermo #14-4875-82, 1:250), TBR2 (Abcam ab23345, 1:250), TBR1 (Abcam ab31940, 1:1000), CUX1 (Santa Cruz #SC13024, 1:250), CTIP2 (Abcam ab18465, 1:1000), PAX6 (BioLegend #901301, 1:500), BrdU/IdU (BD Biosciences #347580, 1:50), BrdU (Abcam ab152095, 1:500), Ki67 (Vector laboratories #VP-RM04, 1:500), ZO1–Alexa-488 (Thermo #339188, 1:100), Nestin (R&D systems #AF2736, 1:100), ARL13b (ProteinTech #17711-1-AP, 1:250), β-Catenin–Alexa-647 (Cell Signaling #4627, 1:100), and S100β (Sigma #52532, 1:100).

Image acquisition and quantification.

Bright-field images were acquired using a Zeiss Stereo Discovery V8 microscope equipped with an AxioCam MRc camera and were processed with AxioVision software (Zeiss). Fluorescence images were acquired using a Zeiss LSM 780 confocal microscope. All images used for cell counting were acquired using a Marianas spinning disk confocal microscope or a Zeiss LSM 780 confocal microscope with a 40× objective. Cells were counted using Imaris 9.1 (Bitplane) or the machine learning–based image segmentation method StarDist (Schmidt et al., 2018). In the latter case, StarDist was used to detect individual cells in multi-channel images and the average fluorescence intensity of each cell was quantified for each channel. The detection and quantification steps were implemented as a batch execution script in the OMERO server platform (Allan et al., 2012). The OMERO viewer was used to interactively select the intensity threshold in each channel for cells positive for the marker. For each genotype, 3–6 embryos with 1–5 sections per embryo at comparable positions were quantified. For quantifying cell death, TUNEL positive cells were counted manually. For each genotype, 4–6 embryos with 3 sections of each rostrocaudal position per embryo were quantified. Data points in all quantification graphs correspond to individual embryos.

Quantification of cell-cycle exit and cell-cycle length.

To measure cell-cycle exit at E14.5 and E16.5, EdU (10 μg/g body weight) was injected intraperitoneally into pregnant dams at E13.5 and E15.5, respectively, and embryos were collected 24 h later. EdU was detected by the Click-it EdU Alexa Fluor 647 Imaging Kit (Thermo Invitrogen) after immunostaining with a Ki67 antibody. The cell-cycle exit index was calculated as the fraction of EdU+ cells that were Ki67− (i.e., EdU+Ki67−/EdU+) and was represented as a percentage. For cell-cycle exit quantification at E17.5, pregnant dams were injected intraperitoneally with IdU (50 μg/g body weight) at E16.5. Cell-cycle lengths were measured as described previously (Lavado et al., 2018).

MARIS (method for analyzing RNA following intracellular sorting).

MARIS was performed using a modified protocol from (Baizabal et al., 2018). Neocortices from E16.5 embryos were dissected and dissociated into single cell suspensions by using StemPro Accutase (Thermo #A1110501) for 3 min at 37°C. The following steps were performed at 4°C. Cells were collected by centrifugation, gently resuspended in fixation buffer (PBS, 0.1% saponin, 4% PFA, RNAsin [New England Biolabs #M0314] 1:20) and incubated for 30 min. Cells were collected by centrifugation and washed twice with wash buffer (PBS, 0.1% saponin, 0.1% BSA, RNAsin 1:100) then incubated with the primary antibodies, rabbit anti-PAX6 (BioLegend #901301, 1:2000) and mouse anti-TBR2-APC (MACS #130-102-378, 1:25), in antibody buffer (PBS, 0.1% saponin, 1% BSA, RNAsin 1:20) for 1 h with gentle rocking. Cells were then washed twice with wash buffer and incubated with an anti-rabbit Alexa Fluor 488–conjugated secondary antibody (Jackson ImmunoResearch Laboratories) in antibody buffer for 30 min. After two washes with wash buffer, cells from two YapF/F;TazF/F control brains or three YapF/F;TazF/F;Emx-Cre dKO brains were resuspended in 1 ml of sorting buffer (PBS, 0.5% BSA, RNAsin 1:20) and filtered through a 40-μm Flowmi cell strainer (Sigma #136800040). Cells were sorted on a FACSAria cell sorter (BD Biosciences) using a 100-μm nozzle. The PAX6+TBR2− and PAX6−TBR2+ fractions were collected in tubes containing PBS, 0.5% BSA, and RNAsin 1:4. After sorting, cells were collected by centrifugation at 3000 × g for 10 min. Total RNA was isolated using the RecoverAll Total Nucleic Acid Isolation Kit (Thermo #AM1975) and concentrated using the RNeasy MinElute Cleanup Kit (Qiagen #74204). Library preparation and sequencing were performed by the Genome Sequencing Facility at St. Jude Children’s Research Hospital. RNA quality was checked by a 2100 Bioanalyzer RNA 6000 Pico Assay (Agilent) before library generation. Libraries were prepared using the Ovation RNA Seq V2 Kit (NuGEN) and quantified using the Quant-iT PicoGreen dsDNA Assay (Life Technologies). Samples were sequenced with an Illumina HiSeq4000 system, yielding 100 million 100-bp paired-end reads. Five control and four dKO libraries were sequenced.

RNA-seq data analysis.

Sequences were mapped to the mm10 genome by using the STAR aligner (Dobin et al., 2013). Transcript-level data was counted using HTSEQ (Anders et al., 2015). Differential gene expression was modeled using voom (Law et al., 2014), available in the limma R software package. Normalization factors were generated using the TMM method. The voom-normalized counts were analyzed using the lmFit and eBayes functions in limma. The adjusted P value was estimated using the Benjamini-Hochberg method. Gene set enrichment analysis (GSEA) was performed using gene sets obtained from MSigDB (the Broad Institute) as described previously (Subramanian et al., 2005). The ranking of genes was calculated using the signal-to-noise algorithm, and a P-value for each gene set was estimated by comparing the observed enrichment score to that obtained from a null distribution computed from 1000 permutations of genes within the gene sets. The false-discovery rate (FDR) was estimated as described previously (Subramanian et al., 2005).

Results

YAP/TAZ exhibit dynamic subcellular localization in RGCs during cortical development

To study the role of YAP/TAZ during cortical development, we first examined their expression and localization by immunostaining using an antibody that recognizes both YAP and TAZ. The specificity of this antibody was validated by the loss of immunoreactivity in Yap;Taz double cKO cortices (see Figure 2A). At E12.5, YAP/TAZ immunoreactivity was highly enriched at the ventricular surface, with weak cytoplasmic staining also being detected in the VZ demarcated by the RGC marker SOX2 (Figure 1A). At E14.5, in addition to their strong expression at the ventricular surface, YAP/TAZ were detected diffusely in the cytoplasm and nucleus of RGCs (Figure 1B). Interestingly, at E16.5, YAP/TAZ became enriched in the nucleus of RGCs while still being present at the ventricular surface (Figure 1C). Therefore, YAP/TAZ proteins shift from the cytoplasm to the nucleus in RGCs as cortical development proceeds.

Figure 2. YAP/TAZ depletion causes brain malformation.

Figure 2.

(A) Immunostaining showing loss of YAP/TAZ signals in Yap;Taz dKO cortex at E12.5. Scale bar, 50 μm. (B) Western blot analysis showing reduced YAP and TAZ protein levels in dKO cortex at E14.5. (C) Nissl and Luxol blue staining showing gross morphologic abnormalities in dKO brains at postnatal day (P) 30. (D) The scoring system used for quantifying brain defects. (E) Quantification of the brain phenotype severity according to the genotype.

Figure 1. YAP/TAZ exhibit dynamic subcellular localization in RGCs during cortical development.

Figure 1.

(AC) Immunostaining with antibodies against YAP/TAZ, the radial glial cell (RGC) marker SOX2, and the intermediate progenitor cell (IPC) marker TBR2 during murine cortical development. (DF) Immunostaining with antibodies against YAP and TBR2. (GI) Immunostaining with antibodies against TAZ and TBR2. (J, K) Immunostaining showing loss of the immunoreactivties of YAP-specific and TAZ-specific antibodies in Yap;Taz double-knockout (dKO) cortices. (L, M) Immunostaining showing loss of the immunoreactivity of the YAP antibody but not of the TAZ antibody in Yap knockout (KO) cortices. Scale bar, 50 μm.

To determine whether YAP/TAZ were also expressed in IPCs, we performed co-staining with an antibody against the IPC marker TBR2 (Englund et al., 2005). No YAP/TAZ immunoreactivity was detected in TBR2+ IPCs at any developmental stage (Figure 1AC). Therefore, YAP/TAZ are specifically expressed in RGCs but not in IPCs.

Immunostaining with YAP-specific and TAZ-specific antibodies (Figure 1JM) showed results very similar to that obtained with the YAP/TAZ antibody (Figure 1DI), except that TAZ immunosignal was very weak at E12.5 (Figure 1G), which might be due to a weaker reactivity of the TAZ-specific antibody.

The loss of YAP/TAZ causes severe brain malformation

To determine the role of YAP/TAZ during cortical development, we generated Yap (Yap1) and Taz (Wwtr1) cKO mice by crossing YapF/F;TazF/F mice to the Emx1-Cre line, which expresses Cre selectively in the developing cortex starting at approximately E9.5 (Gorski et al., 2002). Immunostaining showed that YAP/TAZ signals were depleted in the cortices of YapF/F;TazF/F;Emx1-Cre (referred to as Yap;Taz double-knockout [dKO]) embryos at E12.5 (Figure 2A). Western blot analysis of E14.5 cortices showed a marked reduction in YAP and TAZ proteins in the dKO cortices as compared to the control (no Cre) cortices (Figure 2B).

Yap;Taz dKO mice were born at the expected Mendelian ratio and often survived past 1 month of age. However, the brains of 1-month-old dKO mice exhibited severe abnormalities. Their cortices were much thinner than control cortices, and their lateral ventricles were drastically enlarged (Figure 2C), a condition known as hydrocephaly. Mice lacking three of the four alleles of the Yap;Taz genes occasionally exhibited abnormalities. To compare the severity of brain malformation in different genotypes, we devised a simple scoring system based on the most recognizable defect, the enlargement of the lateral ventricles. Brains with no visible enlargement were assigned a score of 0, those with an enlargement in a restricted region of just one lateral ventricle a score of 1, and those with enlargements throughout the anterior–posterior axis of one or both lateral ventricles a score of 2 or 3, respectively (Figure 2D). All control and YapF/+;TazF/+;Emx1-Cre mice had a score of 0 as they exhibited no obvious defects. The vast majority of mice lacking three of the four Yap;Taz alleles also had a score of 0. In contrast, all Yap;Taz dKO brains had a score of 2 or 3 (Figure 2E). These results indicate that YAP/TAZ are required for normal brain development and that they function in a largely redundant manner. Because our assessment was based on the ventricular enlargement phenotype, it remains possible that Yap and Taz single cKO cortices have certain unique, but less grossly obvious, phenotypes and that YAP and TAZ each have unique roles in cortical development. In this study, we focused on analyzing the effects caused by Yap;Taz double deletion.

Loss of YAP/TAZ reduces the number of neurons

To understand the origins of brain malformation caused by Yap;Taz deletion, we examined the cortices of Yap;Taz dKO mice at several developmental stages. We focused on the neocortex for all our analyses. First, we analyzed cortical projection neurons, which are generated from RGCs and IPCs in the VZ and SVZ and migrate into the cortical plate. The position occupied by these neurons depends on when they are born, with deep-layer (V, VI) neurons being born at E12.5 to E13.5 and up-layer (II–IV) neurons being born from E14.5 onwards [reviewed in (Greig et al., 2013; Kwan et al., 2012)]. The number of early-born TBR1+ layer VI neurons was unchanged in the Yap;Taz dKO cortex when compared to that in the control cortex at E14.5 but was significantly reduced at E16.5 and E17.5 (Figure 3AD). To quantify later-born up-layer neurons, we restricted our analysis to postnatal day (P) 0 because, at that stage, the cortical thickness and lateral ventricle size were similar in control and Yap;Taz dKO brains (data not shown). The numbers of CTIP2+ layer V neurons (dashed lines, Figure 3E, G) and CUX1+ layers II–IV neurons (dashed lines, Figure 3F, H) were significantly reduced in the Yap;Taz dKO cortex. The positioning of neurons of different layers was largely normal in the Yap;Taz dKO cortex (Figure 3C, E, F). Together, these results show that the lack of YAP/TAZ reduces the numbers of both early-born and late-born cortical projection neurons.

Figure 3. Loss of YAP/TAZ reduces the number of neocortical neurons.

Figure 3.

(AD) Immunostaining and quantification of TBR1+ layer VI neurons in control and Yap;Taz dKO cortices. (E–H) Immunostaining and quantification of CUX1+ layer II–IV neurons and CTIP2+ layer V neurons in P0 cortices. Dashed lines indicate the regions quantified. Data are shown as mean ± SEM; * P < 0.05; ** P < 0.01; n.s., not significant; unpaired two-tailed Student’s t test. Scale bars, 50 μm in A, 100 μm in B, C, E, F.

YAP/TAZ maintain the proliferative capacity of cortical RGCs

To uncover how YAP/TAZ depletion in RGCs led to decreased numbers of cortical neurons, we first examined the effect of Yap;Taz deletion on progenitor cell populations during cortical development. At E14.5, the column densities (cell numbers per unit ventricular length) of SOX2+TBR2− RGCs and TBR2+ IPCs were similar in control and Yap;Taz dKO cortices (Figure 4A, D, E). However, at E16.5 and E17.5, the column densities of both RGCs and IPCs were significantly reduced in Yap;Taz dKO cortices as compared to control cortices (Figure 4BE). In addition, the organization of the VZ/SVZ, the region densely populated by SOX2+ and TBR2+ progenitor cells in the normal developing cortex (Figure 4B, C), was notably disrupted in some regions of the dKO cortex starting at E16.5. In these defective regions, both RGCs and IPCs appeared to be more dispersed in the dKO cortex, with many progenitor cells being mispositioned in the IZ, which is normally occupied by newborn neurons (Figure 4B’). Quantification showed that the number of RGCs in the IZ was significantly increased in the dKO cortex at E16.5 (Figure 4G). At E17.5, the progenitor-dense VZ/SVZ was no longer discernable in some regions of the dKO cortex (Figure 4C’). Therefore, the lack of YAP/TAZ reduces the numbers of progenitor cells in the neocortex and disrupts the organization of the VZ/SVZ.

Figure 4. Loss of YAP/TAZ reduces the proliferative capacity of progenitor cells and increases cell death.

Figure 4.

(AC) SOX2 and TBR2 immunostaining in control and Yap;Taz dKO cortices. Dashed line in B marks the boundary between the VZ/SVZ (ventricular zone/subventricular zone) and the IZ (intermediate zone). (D) Quantification of the numbers of neocortical SOX2+TBR2− RGCs. (E) Quantification of the numbers of neocortical TBR2+ IPCs. (F, G) Quantification of the numbers of RGCs and IPCs in the VZ/SVZ (F) and in the IZ (G) at E16.5. (HJ) Immunostaining and quantification of the S-phase length (Ts) and the total cell-cycle length (Tc) of PAX6+TBR2− RGCs by cumulative BrdU/EdU-labeling. Representative E16.5 immunostaining images are shown.(K, L) Immunostaining and quantification of cell-cycle exit. Representative E16.5 immunostaining images are shown. (M, N) Quantification of TUNEL assay signals in rostral, medial, and caudal levels of the neocortex. Data are shown as mean ± SEM; * P < 0.05; ** P < 0.01; *** P < 0.001; n.s., not significant; unpaired two-tailed Student’s t test. Scale bars, 50 μm in A, 100 μm in B, C, H, K.

To understand the cause of the reduction in progenitor cell numbers in the dKO cortex, we analyzed the proliferative capacity of RGCs. We measured the cell-cycle length of RGCs by using a cumulative BrdU/EdU-labeling paradigm (Pilaz et al., 2016) (Figure 4H). At E14.5, the total cell-cycle length (Tc) of dKO RGCs was significantly longer than that of control RGCs, although their S-phase lengths (Ts) were similar (Figure 4I). At E16.5, both the Tc and Ts of dKO RGCs were longer than those of control RGCs (Figure 4J). We also measured the cell-cycle exit of progenitor cells by using a 24-h EdU-labeling paradigm. The fraction of progenitor cells that exited the cell cycle at E14.5 was unchanged in the dKO cortex when compared to that in the control cortex but was increased at E16.5 and E17.5 (Figure 4K, L). Therefore, the loss of YAP/TAZ slows the cell-cycle speed of RGCs and causes premature cell-cycle exit, leading to a reduction in progenitor cell numbers and, consequently, a reduction in neuron numbers.

In addition to the proliferation defects, cell death was significantly but moderately elevated in the dKO cortex at E16.5 and E17.5 when compared to that in the control cortex (Figure 4M, N), which probably also contributed to the reduction in the number of cortical neurons.

YAP/TAZ maintain the structural organization of cortical progenitor cells

Next, we analyzed in more detail the VZ/SVZ organizational defect observed in the Yap;Taz dKO cortex. In the normal developing cortex, SOX2+ RGCs are densely packed in the VZ and most TBR2+ IPCs reside above the RGCs in the SVZ (Figure 5A). RGCs are connected with each other through adherens junctions located at the ventricular surface (Figure 5A, C, E), which maintain the tissue integrity of the neuroepithelium. Each RGC harbors a single primary cilium at the apical surface that protrudes into the ventricle [reviewed in (Taverna et al., 2014)] (Figure 5E’, arrowheads). In some regions of the E16.5 Yap;Taz dKO cortex, SOX2+ RGCs were sparse and intermingled with TBR2+ IPCs, making it difficult to distinguish between the VZ and the SVZ (Figure 5B, bracket, B’), and TBR2+ IPCs were often located abnormally near the ventricular surface (Figure 5B’, arrowheads). In these defective regions, which in total encompassed approximately 30% of the cortical ventricular length, the adherens junction components ZO1 and β-catenin and the primary cilia labeled by ARL13B were lost from the ventricular surface (Figure 5B, D, F) and the radial glial processes labeled by Nestin were disorganized (Figure 5D), suggesting that the adherens junctions and apical-basal polarity of dKO RGCs were disrupted. Such defects, which were not found at E14.5 or E15.5 (data not shown), were also observed in the E17.5 dKO neocortex, with the defective regions covering approximately 50% of the cortical ventricular length (data not shown), and further expanded to the entire cortical ventricular surface by P0 (Figure 5G, H). These analyses revealed that YAP/TAZ are required to maintain the structural organization and polarity of RGCs in the cortex.

Figure 5. Loss of YAP/TAZ disrupts neuroepithelial organization and causes loss of ependymal cells.

Figure 5.

(AF) Immunostaining with antibodies against the RGC marker SOX2, the IPC marker TBR2, the radial glial process marker Nestin, the adherens junction components ZO1 and β-catenin, and the primary cilium marker ARL13b, showing disorganization and disruption in the Yap;Taz dKO neocortex at E16.5. Brackets in B, D, and F mark areas with disruption. Arrowheads in B’ mark TBR2+ cells abnormally localized near the ventricular surface. Arrowheads in E’ mark primary cilia. (G, H) Immunostaining showing the complete loss of ZO1 at the ventricular surface of P0 Yap;Taz dKO neocortex. The remaining ZO1 immunosignals in P0 Yap;Taz dKO neocortex were associated with blood vessels. (I, J) S100β immunostaining showing the lack of ependymal cells in the Yap;Taz dKO neocortex at P14. A’–F’, I’, and J’ are enlargements of the boxed areas in A–F, I, and J. Scale bars, 50 μm in A, C, E, 125 μm in G, 500 μm in I, 25 μm in I’.

YAP/TAZ depletion results in the loss of cortical ependymal cells

We next investigated the cause of hydrocephaly in Yap;Taz dKO brains. We focused on ependymal cells, which are multi-ciliated cells that line the walls of brain ventricles and control the flow of cerebrospinal fluid, because defects in ependymal cell function often result in hydrocephaly [reviewed in (Ohata and Alvarez-Buylla, 2016)] and because YAP is expressed in cortical ependymal cells (Eder et al., 2020) and is required for ependymal cell generation along the aqueduct (Park et al., 2016). Although ependymal cells are generated from RGCs during embryonic development (Spassky et al., 2005), their marker, S100β, is not detectable in cortical ependymal cells by immunostaining until around P14. S100β+ ependymal cells, which lined the ventricular surface in the control brain (Figure 5I), were completely absent from the ventricular surface of the Yap;Taz dKO cortex (Figure 5J). This result showed that YAP/TAZ are required for the formation of the ependymal layer in the cortex, which probably underlies the hydrocephaly phenotype of Yap;Taz dKO brains.

Transcriptional changes in RGCs caused by the loss of YAP/TAZ

To understand the molecular underpinning of the phenotypes of the Yap;Taz dKO cortex, we examined the impact of YAP/TAZ loss on RGC gene expression. We chose the E16.5 timepoint because RGC phenotypes first appeared in dKO cortices around this stage. We used the MARIS (method for analyzing RNA following intracellular sorting) method to immunolabel and sort RGCs, followed by RNA sequencing (RNA-seq) (Baizabal et al., 2018; Hrvatin et al., 2014). We stained dissociated neocortical cells with PAX6 and TBR2 antibodies and sorted PAX6+ RGCs (Figure 6A). Compared to unsorted cell suspensions, sorted cell suspensions showed enrichment for PAX6+ RGCs (Figure 6B). We sequenced RNA libraries from five control and four Yap;Taz dKO biological replicates, with each replicate being obtained from two control embryos or three dKO embryos. Transcript counts confirmed high expression of RGC markers such as Pax6 and Nestin and low expression of IPC and neuronal markers such as Eomes/Tbr2 and Tubb3/Tuj1 in sorted RGCs (Figure 6C). Consistent with YAP/TAZ being transcriptional coactivators, far more genes were downregulated than were upregulated in dKO RGCs when compared to control RGCs, with 336 genes being downregulated and 95 genes being upregulated with a fold change of ≥1.5 and an adjusted P value of ≤0.05 (Figure 6D, Supplementary Table 1). Gene set enrichment analysis using GO Biological Process gene sets revealed that, whereas no gene sets were significantly upregulated (with an FDR ≤0.25) in dKO RGCs, the top downregulated gene sets were Hippo signaling, Motile cilium assembly, and Cell substrate junction organization (Figure 6E, Supplementary Table 2). These gene expression changes correlate with and help explain our finding that YAP/TAZ are required for maintaining the proliferative capacity of RGCs, for generating ependymal cells, and for maintaining the structural organization of the neuroepithelium.

Figure 6. Transcriptional profiling of Yap;Taz dKO and control RGCs.

Figure 6.

(A) Representative plot showing sorting gates for PAX6+ RGCs and TBR2+ IPCs from E16.5 cortices. Double negative cells are cortical neurons. (B) Cell suspensions stained for DAPI, PAX6, and TBR2 before and after sorting of PAX6+ RGCs. (C) mRNA levels obtained from RNA-sequencing analysis of sorted E16.5 control and Yap;Taz dKO RGCs. (D) Heatmap of differentially expressed genes in E16.5 Yap;Taz dKO versus control RGCs with a fold change of ≥1.5 and an adjusted P value of ≤0.05. (E) Gene set enrichment analysis using the GO Biological Process gene sets, comparing the transcriptomes of Yap;Taz dKO versus control RGCs. Only enriched gene sets with an FDR q value of ≤0.25 are shown. For gene sets with similar probes, the gene set with the most enriched probes is shown.

Discussion

By deleting both Yap and Taz in RGCs of the developing murine cortex, we have revealed that YAP/TAZ are required for maintaining the proliferative potential and structural organization of cortical RGCs and for the formation of the ependymal layer. The loss of YAP/TAZ severely perturbs cortical development, resulting in hydrocephaly and reduced numbers of cortical projection neurons. Our RNA-seq analysis of sorted RGCs reveals the transcriptional basis for the functions of YAP/TAZ during cortical development.

YAP/TAZ are transcription factors and are typically believed to function by regulating gene expression. Interestingly, we found that the subcellular localization of YAP/TAZ undergoes dynamic changes during cortical development; it progresses from being largely cytoplasmic and highly enriched at the apical/ventricular surface of RGCs during early stages of cortical development to being enriched in the nucleus of RGCs at late stages of cortical development. This observation raises the question of whether the various functions of YAP/TAZ during cortical development are mediated by the cytoplasmic or the nuclear pool of YAP/TAZ proteins or whether, like β-catenin in the WNT pathway, YAP/TAZ exert different functions in the cytoplasm and the nucleus.

We found that the cell-cycle speed of Yap;Taz dKO RGCs was slower than that of control RGCs at E14.5, well before the neuroepithelial structural defects were first observed at E16.5, suggesting that the proliferation defect is not simply secondary to the structural defects, although the structural defects could have also contributed to the proliferation defect at late stages of cortical development. Therefore, the function of YAP/TAZ in maintaining the proliferative capacity of cortical RGCs is probably mediated by the nuclear—presumably transcriptional—activity of YAP/TAZ, although it remains possible that an unidentified cytoplasmic activity of YAP/TAZ regulates RGC proliferation.

Whether the maintenance of RGC adherens junctions is mediated by nuclear or cytoplasmic YAP/TAZ is a more complicated question. In our analysis, although YAP/TAZ proteins were largely depleted from the ventricular surface as early as E12.5, junctional defects were not observed until E16.5, which coincided with the cytoplasm-to-nucleus translocation of YAP/TAZ during E14.5 to E16.5. Furthermore, our RNA-seq analysis revealed downregulation of genes involved in cell substrate junction organization in Yap;Taz dKO RGCs at E16.5, at which stage only a small fraction of the ventricular surface showed junctional defects in the dKO cortex. These observations suggest that the junctional defect is caused by the loss of the nuclear transcriptional function of YAP/TAZ. However, a previous study concluded that cytoplasmic, not nuclear, function of YAP was required for junctional integrity (Park et al., 2016). This conclusion was based on the following observations: first, injecting lysophosphatidic acid (LPA) into the developing cortex caused junctional disruption and promoted nuclear translocation of YAP; and second, the overexpression of wild-type (WT) and a phospho-mimetic YAP mutant (S112D), which presumably mimics the cytoplasmic YAP, but not of a phosphodefective YAP mutant (S112A), which mimics the transcriptionally active nuclear YAP, partially rescued LPA-induced junctional defect. However, several caveats weaken the conclusion by Park et al. First, the rescue of LPA-induced junctional defects by WT YAP and YAP-S112D was very limited. In fact, only the apical localization of N-cadherin was partially restored. No restoration of the full junction was reported, and RGCs and IPCs remained scattered. Second, based on the assay performed by these authors, the transcriptional activity level of the phospho-mimetic—supposedly cytoplasmic—YAP-S112D was similar to that of WT YAP, suggesting that YAP-S112D is not completely cytoplasmic. Lastly, many studies have shown that activated YAP/TAZ promote the expression of genes involved in epithelial–mesenchymal transition (EMT) (Aharonov et al., 2020; Diepenbruck et al., 2014; Lamar et al., 2012), a process that involves junction dissolution. Therefore, it is possible that the reason why the active form of YAP, YAP-S112A, failed to restore adherens junctions is because its overexpression caused a gain-of-function effect of EMT. Together, we argue that it remains to be determined whether YAP/TAZ act in the cytoplasm, in the nucleus, or in both compartments to maintain the structural organization of the neuroepithelium. Approaches, preferably genetic approaches, that enable specific perturbation of YAP/TAZ function in one compartment without causing secondary changes in YAP/TAZ activity in the other compartment, are needed to address this question.

A related question is whether YAP/TAZ are required cell-autonomously for neuroepithelial structural organization. Because YAP/TAZ are present in nearly all RGCs, especially during early stages of cortical development (e.g., at E12.5, see Figure 1), and Emx1-Cre led to complete removal of YAP/TAZ proteins in the developing cortex (Figure 2A), this question cannot be addressed with our current mouse model and will need to be addressed by using approaches that ablate YAP/TAZ in RGCs in a mosaic fashion.

In the ferret and human neocortices, YAP is necessary and sufficient for the proliferation of outer (or basal) RGCs (oRG) (Kostic et al., 2019), a type of progenitor cells that are abundant in the developing gyrencephalic neocortices but sparse in the developing lissencephalic mouse neocortex. Our finding that YAP/TAZ maintain the proliferative potential of apical RGCs in the mouse neocortex indicates that the role of YAP/TAZ in RGCs is evolutionarily conserved, whether in the apical RGCs of the lissencephalic mouse neocortex or in the oRG of gyrencephalic neocortices. In both types of neocortices, YAP/TAZ are not expressed in TBR2+ IPCs [this study and (Kostic et al., 2019)]. Whether YAP contributed to the expansion of the oRG population in gyrencephalic species over the course of evolution remains to be determined. One study showed that YAP/TAZ are required for the junctional integrity of the cerebellar neuroepithelium (Hughes et al., 2020), which is similar to our finding in the cortex. However, no defects in the proliferation capacity of cerebellar RGCs or granule neuron precursors were reported, although the Yap;Taz dKO cerebellum was smaller than the control cerebellum.

Although ependymal cells are born during mid-to-late embryonic development, ependymal cell differentiation and the formation of cilia occur much later, during the first postnatal weeks (Kyrousi et al., 2015; Spassky et al., 2005). YAP/TAZ depletion resulted in the complete loss of ependymal cells in P14 cortex, the earliest stage at which we could detect the definitive ependymal cell marker S100β. It remains unknown whether this loss is because YAP is required for the specification of the ependymal cell fate or for the differentiation, maturation, or survival of ependymal cells, or whether it was secondary to the reduced number of RGCs or the structural defects in the dKO cortex. Addressing this question requires new tools that enable the specific deletion of Yap;Taz in the ependymal cell lineage or new markers that enable the detection of ependymal cells at embryonic stages. Even GemC1 and Mcidas, which are expressed in RGCs that will give rise to ependymal cells and are probably the earliest ependymal cell markers known, are not detectable in the cortex at embryonic stages (Kyrousi et al., 2015).

After the production of neurons at the late stages of embryogenesis, a subset of cortical RGCs convert to glial progenitors and produce oligodendrocytes and astrocytes, the macroglial cells of the vertebrate CNS [reviewed in (Molofsky et al., 2012; Rowitch and Kriegstein, 2010)]. YAP was shown to promote the proliferation of cortical astrocyte (Huang et al., 2016). By immunostaining with astrocyte markers BLBP (brain lipid-binding protein) (Kurtz et al., 1994) and GFAP (glial fibrillary acidic protein) (Bignami et al., 1972), we found that astrocytes were present in P7 and P30 Yap;Taz dKO cortices (data not shown). We did not rigorously quantify astrocyte numbers because Yap;Taz dKO brains already exhibited severe structural abnormalities at these postnatal stages and we would be not able to determine whether any change in astrocyte numbers, if present in Yap;Taz dKO cortices, was caused by reduced number of RGCs, alteration in astrocyte specification or proliferation, structural defects such as hydrocephaly, etc., or the combination of these possibilities. Therefore, it remains possible that defects in gliogenesis also contributed to the severe malformation of Yap;Taz dKO brains. Future studies using Cre lines that are active specifically during astrogliogenesis will reveal whether YAP/TAZ regulate astrocyte development.

In conclusion, our study demonstrates that YAP/TAZ are essential for cortical development and are required for proper gene expression in cortical RGCs. Together with previous findings that elevated YAP/TAZ activity disrupts brain development (Lavado et al., 2013; Lavado et al., 2018; Lavado et al., 2014; Liu et al., 2018; Roy et al., 2019; Shao et al., 2020) and can cause brain tumors (Eder et al., 2020; Pajtler et al., 2019; Parker et al., 2014; Szulzewsky et al., 2020), it is clear that the levels of YAP/TAZ activity must be precisely regulated to enable normal brain development and homeostasis.

Supplementary Material

1

Supplementary Table 1. Differentially expressed genes in Yap;Taz dKO RGCs Differentially expressed genes in E16.5 Yap;Taz dKO RGCs compared to control RGCs with a fold change of ≥1.5 and an adjusted P value of ≤0.05.

2

Supplementary Table 2. Enriched GO Biological Process gene sets in Yap;Taz dKO RGCs Gene set enrichment analysis comparing the transcriptomes of E16.5 Yap;Taz dKO versus control RGCs, showing gene sets with an FDR q value of ≤0.25.

YAP/TAZ are required for mammalian cortex development

YAP/TAZ maintain the proliferative potential of radial glial cells (RGCs)

YAP/TAZ maintain the cytoarchitecture of cortical progenitor cells

YAP/TAZ loss reduces the number of cortical neurons and causes hydrocephaly

Gene expression changes in sorted RGCs correlate with Yap;Taz mutant phenotypes

Acknowledgments

We thank Dr. Eric Olson for sharing the Yap and Taz floxed mice; Dr. Richard Ashmun and the St. Jude Flow Cytometry & Cell Sorting facility, Dr. Jennifer Peters and the St. Jude Cell & Tissue Imaging Center, The Hartwell Center for Biotechnology, Jim Houston and Kimberley Lowe in the Department of Developmental Neurobiology Flow Cytometry Core, and Maria Kinsey and Shanshan Kong in the Cao Lab for assistance with data acquisition and analysis; Dr. Abbas Shirinifard for implementing and customizing the cell quantification method with StarDist and OMERO; Drs. Corey Harwell and José-Manuel Baizabal at Harvard Medical School for sharing their MARIS protocol; and Dr. Keith A. Laycock for scientific editing of the manuscript.

Funding:

This work was supported by the National Institute of Health [R01NS086938 to X.C.]. R.K. and J.P. were supported by R01NS086938. A.L., S.W., Y.F., and X.C. were supported by American Lebanese Syrian Associated Charities. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Footnotes

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Declaration of competing interest

The authors declare no competing financial interests.

References

  1. Aharonov A, Shakked A, Umansky KB, Savidor A, Genzelinakh A, Kain D, Lendengolts D, Revach O-Y, Morikawa Y, Dong J, Levin Y, Geiger B, Martin JF, Tzahor E, 2020. ERBB2 drives YAP activation and EMT-like processes during cardiac regeneration. Nature Cell Biology 22, 1346–1356. 10.1038/s41556-020-00588-4 [DOI] [PubMed] [Google Scholar]
  2. Allan C, Burel JM, Moore J, Blackburn C, Linkert M, Loynton S, Macdonald D, Moore WJ, Neves C, Patterson A, Porter M, Tarkowska A, Loranger B, Avondo J, Lagerstedt I, Lianas L, Leo S, Hands K, Hay RT, Patwardhan A, Best C, Kleywegt GJ, Zanetti G, Swedlow JR, 2012. OMERO: flexible, model-driven data management for experimental biology. Nat Methods 9, 245–253. 10.1038/nmeth.1896 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Anders S, Pyl PT, Huber W, 2015. HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics 31, 166–169. 10.1093/bioinformatics/btu638 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Baizabal JM, Mistry M, García MT, Gómez N, Olukoya O, Tran D, Johnson MB, Walsh CA, Harwell CC, 2018. The Epigenetic State of PRDM16-Regulated Enhancers in Radial Glia Controls Cortical Neuron Position. Neuron 99, 239–241. 10.1016/j.neuron.2018.06.031 [DOI] [PubMed] [Google Scholar]
  5. Bignami A, Eng LF, Dahl D, Uyeda CT, 1972. Localization of the glial fibrillary acidic protein in astrocytes by immunofluorescence. Brain Research 43, 429–435. 10.1016/0006-8993(72)90398-8 [DOI] [PubMed] [Google Scholar]
  6. Diepenbruck M, Waldmeier L, Ivanek R, Berninger P, Arnold P, van Nimwegen E, Christofori G, 2014. Tead2 expression levels control the subcellular distribution of Yap and Taz, zyxin expression and epithelial-mesenchymal transition. J Cell Sci 127, 1523–1536. 10.1242/jcs.139865 [DOI] [PubMed] [Google Scholar]
  7. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, Batut P, Chaisson M, Gingeras TR, 2013. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21. 10.1093/bioinformatics/bts635 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Eder N, Roncaroli F, Domart M-C, Horswell S, Andreiuolo F, Flynn HR, Lopes AT, Claxton S, Kilday J-P, Collinson L, Mao J-H, Pietsch T, Thompson B, Snijders AP, Ultanir SK, 2020. YAP1/TAZ drives ependymoma-like tumour formation in mice. Nature Communications 11, 2380. 10.1038/s41467-020-16167-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Englund C, Fink A, Lau C, Pham D, Daza RAM, Bulfone A, Kowalczyk T, Hevner RF, 2005. Pax6, Tbr2, and Tbr1 Are Expressed Sequentially by Radial Glia, Intermediate Progenitor Cells, and Postmitotic Neurons in Developing Neocortex. The Journal of Neuroscience 25, 247–251. 10.1523/jneurosci.2899-04.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Gorski JA, Talley T, Qiu M, Puelles L, Rubenstein JL, Jones KR, 2002. Cortical excitatory neurons and glia, but not GABAergic neurons, are produced in the Emx1-expressing lineage. J Neurosci 22, 6309–6314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Greig LC, Woodworth MB, Galazo MJ, Padmanabhan H, Macklis JD, 2013. Molecular logic of neocortical projection neuron specification, development and diversity. Nat Rev Neurosci 14, 755–769. 10.1038/nrn3586 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Hrvatin S, Deng F, O’Donnell CW, Gifford DK, Melton DA, 2014. MARIS: method for analyzing RNA following intracellular sorting. PLoS One 9, e89459. 10.1371/journal.pone.0089459 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Huang Z, Hu J, Pan J, Wang Y, Hu G, Zhou J, Mei L, Xiong W-C, 2016. YAP stabilizes SMAD1 and promotes BMP2-induced neocortical astrocytic differentiation. Development (Cambridge, England) 143, 2398. 10.1242/dev.130658 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Hughes LJ, Park R, Lee MJ, Terry BK, Lee DJ, Kim H, Cho S-H, Kim S, 2020. Yap/Taz are required for establishing the cerebellar radial glia scaffold and proper foliation. Developmental Biology 457, 150–162. 10.1016/j.ydbio.2019.10.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Kostic M, Paridaen JTML, Long KR, Kalebic N, Langen B, Grübling N, Wimberger P, Kawasaki H, Namba T, Huttner WB, 2019. YAP Activity Is Necessary and Sufficient for Basal Progenitor Abundance and Proliferation in the Developing Neocortex. Cell Reports 27, 1103–1118.e1106. 10.1016/j.celrep.2019.03.091 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Kriegstein A, Alvarez-Buylla A, 2009. The glial nature of embryonic and adult neural stem cells. Annu Rev Neurosci 32, 149–184. 10.1146/annurev.neuro.051508.135600 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Kurtz A, Zimmer A, Schnutgen F, Bruning G, Spener F, Muller T, 1994. The expression pattern of a novel gene encoding brain-fatty acid binding protein correlates with neuronal and glial cell development. Development (Cambridge, England) 120, 2637–2649. 10.1242/dev.120.9.2637 [DOI] [PubMed] [Google Scholar]
  18. Kwan KY, Sestan N, Anton ES, 2012. Transcriptional co-regulation of neuronal migration and laminar identity in the neocortex. Development (Cambridge, England) 139, 1535–1546. 10.1242/dev.069963 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Kyrousi C, Arbi M, Pilz GA, Pefani DE, Lalioti ME, Ninkovic J, Götz M, Lygerou Z, Taraviras S, 2015. Mcidas and GemC1 are key regulators for the generation of multiciliated ependymal cells in the adult neurogenic niche. Development (Cambridge, England) 142, 3661–3674. 10.1242/dev.126342 [DOI] [PubMed] [Google Scholar]
  20. Lamar JM, Stern P, Liu H, Schindler JW, Jiang Z-G, Hynes RO, 2012. The Hippo pathway target, YAP, promotes metastasis through its TEAD-interaction domain. Proceedings of the National Academy of Sciences 109, E2441–E2450. 10.1073/pnas.1212021109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Lavado A, He Y, Pare J, Neale G, Olson EN, Giovannini M, Cao X, 2013. Tumor suppressor Nf2 limits expansion of the neural progenitor pool by inhibiting Yap/Taz transcriptional coactivators. Development (Cambridge, England) 140, 3323–3334. 10.1242/dev.096537 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Lavado A, Park JY, Paré J, Finkelstein D, Pan H, Xu B, Fan Y, Kumar RP, Neale G, Kwak YD, McKinnon PJ, Johnson RL, Cao X, 2018. The Hippo Pathway Prevents YAP/TAZ-Driven Hypertranscription and Controls Neural Progenitor Number. Developmental Cell 47, 576–591.e578. 10.1016/j.devcel.2018.09.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Lavado A, Ware M, Pare J, Cao X, 2014. The tumor suppressor Nf2 regulates corpus callosum development by inhibiting the transcriptional coactivator Yap. Development (Cambridge, England) 141, 4182–4193. 10.1242/dev.111260 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Law CW, Chen Y, Shi W, Smyth GK, 2014. voom: Precision weights unlock linear model analysis tools for RNA-seq read counts. Genome Biol. 15, R29. 10.1186/gb-2014-15-2-r29 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Liu WA, Chen S, Li Z, Lee CH, Mirzaa G, Dobyns WB, Ross ME, Zhang J, Shi S-H, 2018. PARD3 dysfunction in conjunction with dynamic HIPPO signaling drives cortical enlargement with massive heterotopia. Genes Dev 32, 763–780. 10.1101/gad.313171.118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Molofsky AV, Krenick R, Ullian E, Tsai H. h., Deneen B, Richardson WD, Barres BA, Rowitch DH, 2012. Astrocytes and disease: a neurodevelopmental perspective. Genes Dev 26, 891–907. 10.1101/gad.188326.112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Ohata S, Alvarez-Buylla A, 2016. Planar Organization of Multiciliated Ependymal (E1) Cells in the Brain Ventricular Epithelium. Trends Neurosci 39, 543–551. 10.1016/j.tins.2016.05.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Pajtler KW, Wei Y, Okonechnikov K, Silva PBG, Vouri M, Zhang L, Brabetz S, Sieber L, Gulley M, Mauermann M, Wedig T, Mack N, Imamura Kawasawa Y, Sharma T, Zuckermann M, Andreiuolo F, Holland E, Maass K, Körkel-Qu H, Liu H-K, Sahm F, Capper D, Bunt J, Richards LJ, Jones DTW, Korshunov A, Chavez L, Lichter P, Hoshino M, Pfister SM, Kool M, Li W, Kawauchi D, 2019. YAP1 subgroup supratentorial ependymoma requires TEAD and nuclear factor I-mediated transcriptional programmes for tumorigenesis. Nature Communications 10, 3914. 10.1038/s41467-019-11884-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Park R, Moon UY, Park JY, Hughes LJ, Johnson RL, Cho S-H, Kim S, 2016. Yap is required for ependymal integrity and is suppressed in LPA-induced hydrocephalus. Nat Comm 7, 10329. 10.1038/ncomms10329 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Parker M, Mohankumar KM, Punchihewa C, Weinlich R, Dalton JD, Li Y, Lee R, Tatevossian RG, Phoenix TN, Thiruvenkatam R, White E, Tang B, Orisme W, Gupta K, Rusch M, Chen X, Li Y, Nagahawhatte P, Hedlund E, Finkelstein D, Wu G, Shurtleff S, Easton J, Boggs K, Yergeau D, Vadodaria B, Mulder HL, Becksfort J, Gupta P, Huether R, Ma J, Song G, Gajjar A, Merchant T, Boop F, Smith AA, Ding L, Lu C, Ochoa K, Zhao D, Fulton RS, Fulton LL, Mardis ER, Wilson RK, Downing JR, Green DR, Zhang J, Ellison DW, Gilbertson RJ, 2014. C11orf95-RELA fusions drive oncogenic NF-κB signalling in ependymoma. Nature 506, 451–455. 10.1038/nature13109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Pilaz LJ, McMahon JJ, Miller EE, Lennox AL, Suzuki A, Salmon E, Silver DL, 2016. Prolonged Mitosis of Neural Progenitors Alters Cell Fate in the Developing Brain. Neuron 89, 83–99. 10.1016/j.neuron.2015.12.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Rowitch DH, Kriegstein AR, 2010. Developmental genetics of vertebrate glial–cell specification. Nature 468, 214–222. 10.1038/nature09611 [DOI] [PubMed] [Google Scholar]
  33. Roy A, Murphy RM, Deng M, MacDonald JW, Bammler TK, Aldinger KA, Glass IA, Millen KJ, 2019. PI3K-Yap activity drives cortical gyrification and hydrocephalus in mice. eLife 8, e45961. 10.7554/eLife.45961 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Schmidt U, Weigert M, Broaddus C, Myers G, 2018. Cell Detection with Star-Convex Polygons, in: Frangi AF, Schnabel JA, Davatzikos C, Alberola-López C, Fichtinger G (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Springer International Publishing, Cham, pp. 265–273, 10.1007/978-3-030-00934-2_30 [DOI] [Google Scholar]
  35. Shao W, Yang J, He M, Yu X-Y, Lee CH, Yang Z, Joyner AL, Anderson KV, Zhang J, Tsou M-FB, Shi H, Shi S-H, 2020. Centrosome anchoring regulates progenitor properties and cortical formation. Nature 580, 106–112. 10.1038/s41586-020-2139-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Spassky N, Merkle FT, Flames N, Tramontin AD, García-Verdugo JM, Alvarez-Buylla A, 2005. Adult Ependymal Cells Are Postmitotic and Are Derived from Radial Glial Cells during Embryogenesis. The Journal of Neuroscience 25, 10. 10.1523/JNEUROSCI.1108-04.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES, Mesirov JP, 2005. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proceedings of the National Academy of Sciences 102, 15545. 10.1073/pnas.0506580102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Szulzewsky F, Arora S, Hoellerbauer P, King C, Nathan E, Chan M, Cimino PJ, Ozawa T, Kawauchi D, Pajtler KW, Gilbertson RJ, Paddison PJ, Vasioukhin V, Gujral TS, Holland EC, 2020. Comparison of tumor-associated YAP1 fusions identifies a recurrent set of functions critical for oncogenesis. Genes Dev 34, 1051–1064. 10.1101/gad.338681.120 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Taverna E, Götz M, Huttner WB, 2014. The Cell Biology of Neurogenesis: Toward an Understanding of the Development and Evolution of the Neocortex. Annual Review of Cell and Developmental Biology 30, 465–502. 10.1146/annurev-cellbio-101011-155801 [DOI] [PubMed] [Google Scholar]
  40. Tronche F, Kellendonk C, Kretz O, Gass P, Anlag K, Orban PC, Bock R, Klein R, Schutz G, 1999. Disruption of the glucocorticoid receptor gene in the nervous system results in reduced anxiety. Nat Genet 23, 99–103. [DOI] [PubMed] [Google Scholar]
  41. Villalba A, Götz M, Borrell V, 2021. Chapter One - The regulation of cortical neurogenesis, in: Bashaw GJ (Ed.), Current Topics in Developmental Biology. Academic Press, pp. 1–66. 10.1016/bs.ctdb.2020.10.003 [DOI] [PubMed] [Google Scholar]
  42. Xin M, Kim Y, Sutherland LB, Qi X, McAnally J, Schwartz RJ, Richardson JA, Bassel-Duby R, Olson EN, 2011. Regulation of insulin-like growth factor signaling by Yap governs cardiomyocyte proliferation and embryonic heart size. Sci Signal 4, ra70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Zheng Y, Pan D, 2019. The Hippo Signaling Pathway in Development and Disease. Developmental Cell 50, 264–282. 10.1016/j.devcel.2019.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

1

Supplementary Table 1. Differentially expressed genes in Yap;Taz dKO RGCs Differentially expressed genes in E16.5 Yap;Taz dKO RGCs compared to control RGCs with a fold change of ≥1.5 and an adjusted P value of ≤0.05.

2

Supplementary Table 2. Enriched GO Biological Process gene sets in Yap;Taz dKO RGCs Gene set enrichment analysis comparing the transcriptomes of E16.5 Yap;Taz dKO versus control RGCs, showing gene sets with an FDR q value of ≤0.25.

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