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The Journal of Neuroscience logoLink to The Journal of Neuroscience
. 2020 Sep 2;40(36):6872–6887. doi: 10.1523/JNEUROSCI.2888-19.2020

The Neocortical Progenitor Specification Program Is Established through Combined Modulation of SHH and FGF Signaling

Odessa R Yabut 1, Hui-Xuan Ng 1, Keejung Yoon 1,2, Jessica C Arela 1, Thomas Ngo 3, Samuel J Pleasure 1,4,
PMCID: PMC7470916  PMID: 32737167

Abstract

Neuronal progenitors in the developing forebrain undergo dynamic competence states to ensure timely generation of specific excitatory and inhibitory neuronal subtypes from distinct neurogenic niches of the dorsal and ventral forebrain, respectively. Here we show evidence of progenitor plasticity when Sonic hedgehog (SHH) signaling is left unmodulated in the embryonic neocortex of the mammalian dorsal forebrain. We found that, at early stages of corticogenesis, loss of Suppressor of Fused (Sufu), a potent inhibitor of SHH signaling, in neocortical progenitors, altered the transcriptomic landscape of male mouse embryos. Ectopic activation of SHH signaling occurred, via degradation of Gli3R, resulting in significant upregulation of fibroblast growth factor 15 (FGF15) gene expression in all E12.5 Sufu-cKO neocortex regardless of sex. Consequently, activation of FGF signaling, and its downstream effector the MAPK signaling, facilitated expression of genes characteristic of ventral forebrain progenitors. Our studies identify the importance of modulating extrinsic niche signals such as SHH and FGF15, to maintain the competency and specification program of neocortical progenitors throughout corticogenesis.

SIGNIFICANCE STATEMENT Low levels of FGF15 control progenitor proliferation and differentiation during neocortical development, but little is known on how FGF15 expression is maintained. Our studies identified SHH signaling as a critical activator of FGF15 expression during corticogenesis. We found that Sufu, via Gli3R, ensured low levels of FGF15 was expressed to prevent abnormal specification of neocortical progenitors. These studies advance our knowledge on the molecular mechanisms guiding the generation of specific neocortical neuronal lineages, their implications in neurodevelopmental diseases, and may guide future studies on how progenitor cells may be used for brain repair.

Keywords: corticogenesis, FGF, lineage fates, neural progenitors, neurogenesis, SHH

Introduction

The adult mammalian neocortex is composed of an intricate network of diverse excitatory and inhibitory neurons derived from distinct progenitor domains of the embryonic forebrain. Excitatory neurons originate from the ventricular zones (VZs) and subventricular zones (SVZs) of the embryonic neocortex, while inhibitory neurons (interneurons) originate from the ganglionic eminences (GEs). During corticogenesis, radial glial (RG) progenitors populating the VZ/SVZ sequentially generate deep-layer excitatory neurons, followed by upper-layer excitatory neurons via intermediate progenitor cell (IPC) or outer RG cells (Beattie and Hippenmeyer, 2017). This process must be tightly regulated since an imbalance between excitatory and inhibitory activity underlies a number of neurologic and neuropsychiatric disorders (Sohal and Rubenstein, 2019).

A combination of intrinsic and extrinsic cues guide and maintain the specification program of neocortical progenitors throughout corticogenesis to generate neuronal diversity. But the molecular factors integrating these cues in neocortical progenitors to produce distinct neuronal subtypes in a temporal manner are still largely unclear. Our previous work identified fundamental mechanisms at early stages of corticogenesis ensuring proper specification of neocortical progenitors into distinct excitatory neuronal lineages, through modulation of Sonic hedgehog (SHH) signaling pathway (Yabut et al., 2015). SHH signaling is triggered on binding of SHH ligands to the transmembrane receptor Patched 1 (Ptch1), which relieves its inhibition of another transmembrane protein, Smoothened (Smo). Consequently, Smo initiates a cascade of intracellular events promoting the nuclear translocation of Gli, a family transcription factor, to activate SHH target gene expression. However, intracellular checkpoints are present to modulate SHH signaling. In the developing neocortex, Suppressor of Fused (Sufu), a potent inhibitor of SHH signaling, is highly expressed in neocortical progenitors modulating SHH signals to ensure the production of molecularly distinct upper and deep layer excitatory neurons (Yabut et al., 2015). SUFU exerted this effect by ensuring the stable formation of Gli transcription factors, the downstream effectors of SHH signaling. Specifically, loss of SUFU resulted in the degradation of the repressor form of Gli3 (Gli3R), the predominant Gli protein in the developing neocortex (Palma and Ruiz i Altaba, 2004; Fotaki et al., 2006; H. Wang et al., 2011; Wilson et al., 2012), leading to the production of misspecified neocortical progenitors by mid-corticogenesis. However, little is known on the identity of downstream molecular targets of SHH signaling or Gli3 in neocortical progenitors, and how deregulation of these targets because of uncontrolled SHH signaling might affect neocortical progenitor fates.

Here we show that endogenous levels of SHH, in the absence of Sufu, can sufficiently increase SHH signal transduction in neocortical progenitors, resulting in drastic changes in the transcriptomic landscape of the VZ/SVZ at early stages of corticogenesis. In accordance to our previous findings, ventral forebrain progenitor gene transcripts are already ectopically expressed in neocortical progenitors of embryonic (E) 12.5 neocortex mice lacking Sufu. Additionally, we find that activation of fibroblast growth factor (FGF) signaling, via the upregulated gene expression of FGF15, leads to the misspecification of progenitors, particularly affecting the production of IPCs. These novel findings reveal how uncontrolled SHH signaling and its downstream gene targets can redefine progenitor competency in the embryonic neocortex. Further, this underscores the importance of intrinsic cellular responses, via modulatory proteins, such as Sufu, to temporally restrain extrinsic niche signals that can influence progenitor identity and fate.

Materials and Methods

Animals

Mice carrying the floxed Sufu allele (Sufufl) were kindly provided by Chi-Chung Hui (University of Toronto) and were genotyped as described previously (Pospisilik et al., 2010). Emx1-cre (stock #05628), Rosa-AI14 (stock #007908), and SmoM2 (stock #005130) mice were obtained from The Jackson Laboratory. Mice with the genotype Emx1-cre;Sufufl/fl mice are hereto referred to as Sufu-cKO mice. Mice designated as controls did not carry the Cre transgene and may have either one of the following genotypes: Sufufl/+ or Sufufl/fl. All mouse lines were maintained in mixed strains, and analysis included male and female pups from each age group, although sex differences were not included in data reporting. All animal protocols were in accordance to the National Institute of Health regulations and approved by the University of California San Francisco Institutional Animal Care and Use Committee.

RNA-Seq and analysis

The dorsal forebrain was dissected from E12.5 control and Sufu-cKO male littermates (n = 4 per group). Total RNA was extracted using RNEasy Mini Kit (QIAGEN) and prepared for RNAseq. RNASeq was conducted by the University of California San Francisco Functional Genomics Core. Barcoded sequencing libraries were generated using the Truseq Stranded mRNA Library Prep Kit (Illumina). Single-end 50 bp reads were sequenced on the HiSeq4000 (Illumina). Sequencing yielded ∼343 million read with an average read depth of 42.9 million reads/sample. Reads were then aligned using STAR_2.4.2a to the mouse genome (Ensembl Mouse GRCm38.78), and those that mapped uniquely to known mRNAs were used to assess differential expression (DE). Final quantification and statistical testing of differentially expressed (adjusted p < 0.05) genes were performed using DESeq2. Gene set enrichment and pathway analysis was conducted using the DAVID Gene Functional Classification Tool (http://david.abcc.ncifcrf.gov) (Huang et al., 2007). Heatmaps represent transformed FPKM values (Transform 1+ Log2(Y)) and plotted using Prism 8.1 (GraphPad). Filtering was applied for gene ontology enrichment analysis by excluding DE genes with very low normalized read counts (FPKM <100) in both control and mutant samples. Sequencing data are archived in the Gene Expression Omnibus under GEO Accession # GSE155851.

Immunohistochemistry

Perfusion, dissection, and immunofluorescence staining were conducted according to standard protocols as previously described (Siegenthaler et al., 2009). Briefly, embryonic brain tissues were fixed by direct immersion in 4% PFA and postnatal brains fixed by intracardial perfusion followed by 2 h after fixation. Cryostat sections were air-dried and rinsed 3× in PBS plus 0.2% Triton before blocking for 1 h in 10% normal lamb serum diluted in PBS with 0.2% Triton to prevent nonspecific binding. A heat-induced antigen retrieval protocol was performed on selective immunohistochemistry using 10 μm citric acid at pH 6.0. Primary antibodies were diluted in 10% serum diluted in PBS with 0.2% Triton containing DAPI; sections were incubated in primary antibody overnight at room temperature. The following antibodies were used: rabbit anti-Tbr2 (1:500 dilution; Abcam, #ab23345), rabbit anti-GSX2 (1:250 dilution; gift from Kenneth Campbell) (Toresson et al., 2000), mouse anti-Olig2 (1:250 dilution; Millipore, #MABN50), and phosphorylated-Erk1/2 (pERK1/2 1:100 dilution, Cell Signaling Technology, #4370). To detect primary antibodies, we used species-specific AlexaFluor-conjugated secondary antibodies (1:500; Invitrogen) in 1× PBS-T for 1 h at room temperature, washed with 1× PBS, and coverslipped with Fluoromount-G (Southern Biotechnology).

ISH

Lhx2, CoupTF2 ISH was conducted using RNA probes kindly provided by Professor John Rubenstein (University of California San Francisco). Dlx1 and Dbx1 riboprobes were generated using primer sequences published by the Allen Brain Atlas ISH Database (http://developingmouse.brain-map.org/) with SP6 and T7 promoter binding sequences included in 5′ ends. Target gene cDNA was amplified from pooled cDNA reactions made from mouse brain; total RNA was used as a template source. DIG-labeled RNA probes were generated using the DIG RNA Labeling Kit SP6/T7 (Sigma Millipore, catalog #11175025910) according to the manufacturer's protocols. DIG-labeled RNA probes were diluted in hybridization buffer (50% formamide, 5 × SSC, 0.3 mg/ml tRNA, 100 µl/ml heparin, 1× Denhardt's solution, 0.1% Tween 20, 0.1% CHAPS, 5 mm EDTA) and added to RNase-free cryosections for incubation in a humidified chamber at 65°C for 16-20 h. Sections were washed in 0.2 × SSC (Ambion, AM9770) at 65°C followed by PBST at room temperature. Tissue sections were incubated in alkaline phosphatase-conjugated anti-DIG antibody (1:1500, Roche Applied Sciences, 11093274910) for 16-20 h incubation at room temperature, and colorimetric signals were detected using NBT/BCIP (Roche Applied Sciences, 11383221001).

RNAScope ISH was conducted for Fgf15 and PTCH1. RNAscope probes Mm-Ptch1 (catalog #402811) and Mm-FGF15 (catalog #412811) were designed commercially by the manufacturer (Advanced Cell Diagnostics). RNAScope Assay was performed using the RNAscope Multiplex Fluorescent Reagent Kit V2 according to the manufacturer's instructions. Detection of the probe was done with Opal 570 or Opal 520 reagent (PerkinElmer).

Forebrain organotypic slice culture

Whole brains from E12.5 WT CD-1 mice were carefully dissected and placed in ice-cold HBSS (Invitrogen). Brains were embedded in 4% Low Melting Point Agarose (Nueve)/HBSS mix and allowed to solidify on ice. Embedded brains were sliced using a VT1000S vibratome (Leica Microsystems) into 400-µm-thick slices and placed in Recovery Media: MEM (Invitrogen) with Glutamax (Invitrogen) and pennicillin/streptomycin (Invitrogen). Slices were transferred into uncoated Millicell-CM membrane inserts (EMD Millipore) in 6-well plates (BD Biosciences) and cultured in Neurobasal (Invitrogen) supplemented with Glutamax (Invitrogen), pennicillin/streptomycin (Invitrogen), B-27 (Invitrogen), and N2 (Invitrogen) at 37°C, 5% CO2, and 100% humidity. After 2 DIV, cell culture media were aspirated, and slices were washed in 1× PBS, fixed in cold 4% PFA for 30 min, cryoprotected in 30% sucrose, and embedded in OCT. Slices were cryosectioned into 20-µm-thick coronal sections and stored at −80°C until used for immunofluorescence analysis as described above. Treatment (as described in text) of organotypic slices was conducted 2-3 h after initial plating and incubation of slices with the following concentrations: 100 ng/ml recombinant FGF15 (Prospec Bio, #CYT-027), 200 ng/ml recombinant SHH (GenScript, #Z03050-50), and 5 μm cyclopamine (Toronto Research Chemicals, #C988400). Following treatments, slice cultures were incubated for 2 d and processed as described above.

Image analysis and acquisition

Images were acquired using a Nikon EDC microscope equipped with a QCapture Pro camera (QImaging), Axioscan Z.1 (Carl Zeiss) using the Zen 2 blue edition software (Carl Zeiss), or the Nikon Ti inverted microscope with CSU-W1 large FOV confocal and Andor Zyla 4.2 sCMOS camera. All images were imported in tiff or jpeg format. Brightness, contrast, and background were adjusted equally for the entire image between controls and mutant using the “Brightness/Contrast” and “Levels” function from “Image/Adjustment” options in Adobe Photoshop or National Institutes of Health ImageJ without any further modification. National Institutes of Health ImageJ was used to threshold background levels between controls and mutant tissues to quantify fluorescence labeling. For pErk1/2 quantification, the total area with positive pErk1/2 labeling was measured, which began in the pallial-subpallial boundary in the controls and extended dorsally in Sufu-cKO neocortex, for each hemisphere across the anterior to posterior axis. One forebrain section in each representative anterior to posterior region was measured (see Fig. 5C) from both hemispheres and averaged. All analyses were conducted in at least two or three 20-µm-thick sections that were histologically matched at the rostral-caudal level between genotypes.

Figure 5.

Figure 5.

Upregulated FGF15 expression correlates with ectopic activation of MAPK signaling in neocortical progenitor zones. A, B, Immunofluorescence staining against phosphorylated Erk1/2 (pErk1/2) was conducted on E12.5 and E14.5 control and Sufu-cKO brains to detect for MAPK signaling activation. pErk1/2-expressing cells (pErk1/2+) were detected along the pallial-subpallial boundary (PSB) of the E12.5 control and Sufu-cKO forebrain (white arrows). However, pErk1/2+ cells were found from the PSB and the lateral cortex, particularly in the VZ/SVZ regions (yellow arrows, A). At E14.5, pErk1/2+ cells expanded dorsally within the VZ/SVZ regions in both control and Sufu-cKO neocortex (B). However, pErk1/2+ cells in the Sufu-cKO neocortex greatly expanded compared with controls (yellow arrows). Scale bars: 500 µm (A,B). C–E, Four representative sections across the A-P axis of the forebrain (C) were sampled to measure pERK1/2+ regions in the E12.5 and E14.5 control and Sufu-cKO mice. Bar graphs of quantification of pErk1/2+ regions in the neocortex of E12.5 (D) and E14.5 (E) control and Sufu-cKO mice (n = 3-5 embryos per genotype) represent significant interaction between position and genotype (repeated-measures two-way ANOVA, p = 0.0365). Significance between genotypes in Ph-Erk1/2+ regions in the Sufu-cKO neocortex at both E12.5 and E14.5, particularly in anterior regions: *p ≤ 0.05; **p ≤ 0.01; ***p ≤ 0.001; repeated-measures, two-way ANOVA with Holm-Sidak's multiple comparisons test. Values of statistics are shown in Table 1. Bar graphs represent average values. Error bars indicate SEM.

Statistics

Prism 8.1 (GraphPad) was used for statistical analysis. Two-sample experiments were analyzed by Student's t test, and experiments with more than two parameters were analyzed by ANOVA. In one- or two-way ANOVA, when interactions were found, follow-up analyses were conducted for the relevant variables using Holm-Sidak's multiple comparisons test. All experiments were conducted at least in triplicate with sample sizes of n = 3-6 embryos/animals/slices per genotype. A p value ≤0.05 was considered statistically significant. Graphs represent mean ± SEM. Statistical values and analyses are summarized in Table 1.

Table 1.

Statistical analysesa

Figure Parameter Groups Statistical test Outcome p
5D E12.5 phospho-Erk1/2+regions A-P position vs genotype (E12.5 control and Sufu-cKO) Repeated-measures two-way ANOVA F position × genotype (3,24) = 3.329 0.0365
Control (n = 5) vs Sufu-cKO (n = 5) Position 1 Holm-Sidak's multiple comparisons test t = 3.685, df = 5.547 0.018
Control (n = 5) vs Sufu-cKO (n = 5) Position 2 t = 6.861, df = 4.873 0.0033
Control (n = 5) vs Sufu-cKO (n = 5) Position 3 t =8.112, df = 4.949 0.0019
Control (n = 5) vs Sufu-cKO (n = 5) Position 4 t = 5.310, df = 4.296 0.0099
5E E14.5 phospho-Erk1/2+regions A-P position vs genotype (E14.5 control and Sufu-cKO) Repeated-measures two-way ANOVA F position vs genotype (3,19) = 4.684 0.013
Control (n = 4) vs Sufu-cKO (n = 3) Position 1 Holm-Sidak's multiple comparisons test t = 7.255, df = 27 <0.0001
Control (n = 5) vs Sufu-cKO (n = 5) Position 2 t = 5.452, df = 27 <0.0001
Control (n = 5) vs Sufu-cKO (n = 5) Position 3 t = 4.665, df = 27 0.0001
Control (n = 4) vs Sufu-cKO (n = 4) Position 4 t = 3.67, df = 27 0.0011
6D Tbr2+ cells Treatment (n = 3 per condition) One-way ANOVA F treatment (5,12) = 14.15 0.0001
DMSO vs Fgf15 Holm-Sidak's multiple comparisons test t = 3.319, df = 12 0.0537
DMSO vs Shh t = 6.515, df = 12 0.0004
DMSO vs Fgf15+Shh t = 5.651, df = 12 0.0014
DMSO vs Cyclo t = 0.5662, df = 12 0.6585
DMSO vs Cyclo+Fgf15 t = 4.4, df = 12 0.0095
Fgf15 vs Shh t = 3.196, df = 12 0.0599
Fgf15 vs Fgf15+Shh t = 2.332, df = 12 0.2072
Fgf15 vs Cyclo t = 2.753, df = 12 0.1163
Fgf15 vs Cyclo+Fgf15 t = 1.081, df = 12 0.6585
Shh vs Fgf15+Shh t = 0.8646, df = 12 0.6585
Shh vs Cyclo t = 5.949, df = 12 0.0009
Shh vs Cyclo+Fgf15 t = 2.115, df = 12 0.2503
Fgf15+Shh vs Cyclo t = 5.085, df = 12 0.0032
Fgf15+Shh vs Cyclo+Fgf15 t = 1.251, df = 12 0.6572
Cyclo vs Cyclo+Fgf15 t = 3.834, df = 12 0.0235
7I Tbr2+ cells Treatment: DMSO (n = 6) vs FGF15 (n = 6) Unpaired t test (two-tailed) t = 2.805, df = 10 0.0186

aSummary of statistical analyses performed for Figures 57.

Results

Specification defects are evident in discrete regions of the neocortex of E12.5 embryonic mice lacking Sufu

The role of SHH signaling in neocortical neuron specification is critical before E13.5, a time point at which superficial projection neurons are just beginning to differentiate. Analysis of mice, in which Sufu is conditionally deleted at E10.5 in neocortical progenitors using the Emx1-Cre driver (Emx1-cre/+;Sufu-fl/fl or Sufu-cKO), revealed that modulating SHH signaling is critical to properly specify distinct superficial and deep layer projection neurons, after dorsoventral patterning of the forebrain (Yabut et al., 2015). While specification defects were clear at E14.5 in Sufu-cKO cortex, any molecular changes before this time point were not deeply examined in the previous study. Since changes in Gli2 and Gli3R levels were apparent at E12.5, we postulated that critical molecular alterations must have occurred at this time point. We therefore initiated our studies by careful examination of Pax6 expression, which is highly expressed in neocortical RG progenitors (Ypsilanti and Rubenstein, 2016). As expected, we found that Pax6 exclusively expressed in dorsal forebrain regions of the E12.5 control and Sufu-cKO brains, and not in the GE (Fig. 1A). However, Pax6 expression was noticeably intermittent in anterior regions of the E12.5 Sufu-cKO neocortex (Fig. 1Ab, boxed regions, arrowheads). Moreover, these Pax6-negative areas exhibited a columnar distribution hinting at anomalous RG clones. Analysis of corresponding regions showed that the E14.5 Sufu-cKO neocortex similarly displayed columnar distribution of Pax6+ and Pax6 regions in anterior regions (Fig. 1B, arrowheads), but this distribution was not prevalent in posterior regions (Fig. 1B). These defects were not present at E10.5, in which the distribution of Pax6+ cells were largely indistinguishable between controls and Sufu-cKO embryos (Extended Data Fig. 1-1). Therefore, despite having properly formed dorsal forebrain domains, a subpopulation of neocortical RG progenitors displayed aberrant behavior in the E12.5 Sufu-cKO neocortex.

Figure 1.

Figure 1.

Neocortical progenitor defects are evident in discrete regions in the E12.5 Sufu-cKO neocortex. A, Immunofluorescence staining of sagittal sections of E12.5 control and Sufu-cKO embryonic forebrains, using dorsal forebrain progenitor marker, Pax6, and DAPI counterstain, shows high Pax6 expression in the dorsal forebrain (CX) along the lateral ventricles (LV) compared with the lateral (LGE) or medial (MGE) GE in both genotypes. A, B, Higher magnification of boxed regions represents low or absent Pax6 expression in specific areas of the anterior neocortex of Sufu-cKO forebrains (arrows, b) particularly in the VZ and SVZ but not in controls (a). These defects were not evident in the E10.5 Sufu-cKO or control forebrains (Extended Data Fig. 1-1). Sections are counterstained with DAPI. Scale bars: A, B 500 µm; a, b, 250 µm. B, Pax6 immunofluorescence staining of coronal sections of the E14.5 control and Sufu-cKO represents areas lacking Pax6 expression in the anterior neocortex of the E14.5 Sufu-cKO mice (arrows) but not in posterior regions or in controls. Scale bar, 200 µm.

Figure 1-1

No visible progenitor defects in the E10.5 Sufu-cKO dorsal forebrain. Immunofluorescence staining of the E10.5 forebrain for the pallial marker, Pax6, showed exclusive expression of Pax6 in dorsal forebrain regions in both control and Sufu-cKO mice. Scale bar, 200 µm. Download Figure 1-1, TIF file (5.9MB, tif) .

Upregulated expression of SHH signaling targets in Sufu mutant neocortical progenitors

To better understand the molecular changes in neocortical progenitors of the E12.5 Sufu-cKO neocortex, we isolated total RNA from dissected control and mutant dorsal forebrain for transcriptome profiling by RNA-Seq (Fig. 2A). Sequencing yielded ∼343 million reads with an average read depth of 42.9 million reads/sample (n = 4 per genotype). Reads were then aligned to the mouse genome, and we successfully mapped 98.69 ± 0.04% of the fragments to the genome, with 17.01 ± 0.11% of fragments mapped to multiple locations of the genome. Those that mapped uniquely to known mRNAs (81.68 ± 0.12% of fragments) were used to assess DE. Differentially expressed genes (with average FPKM > 20 in at least one sample/genotype group) were assessed (Table 2).

Figure 2.

Figure 2.

Upregulated expression of SHH signaling gene targets in neocortical progenitors of the E12.5 Sufu-cKO dorsal forebrain. A, Schematic showing dorsal forebrain areas (pink) dissected from control and mutant E12.5 mice for RNA-Seq analysis. B, Volcano plot of RNA-Seq dataset highlighting differentially expressed genes with adjusted p value < 0.01 (FDR (-Log10)) and fold change (Log2) ≥ 1.5 (red circles) or fold change (Log2) ≤ 1.5 (green circles), and genes in the SHH signaling pathway (blue circles), between the E12.5 dorsal forebrain of controls and Sufu-cKO E12.5 embryos (see also Tables 2 and 3). C–F, RNAscope ISH on sagittal brain sections using probes for Patched 1 (Ptch1) validates upregulation of Ptch1 RNA expression in the E12.5 Sufu-cKO dorsal forebrain (E,F), whereas Ptch1 RNA expression is only detected in the MGE of controls (C,D). C, E, Sections are counterstained with DAPI. Scale bar, 500 µm. G, H, Higher magnification of rostral neocortex of E12.5 Sufu-cKO dorsal forebrain showing that Ptch1 RNA expression is preferentially higher along the VZ and SVZ where neocortical progenitors are localized. Ptch1 expression also appear in columns, radiating inward from the apical VZ (arrows). G, Sections are counterstained with DAPI. Scale bar, 25 µm.

Table 2.

Top differentially expressed genes between E12.5 control and Sufu-cKO dorsal forebraina

Ensembl_ID Gene Mutant vs control
Controls (FPKM)
Sufu-cKO (FPKM)
FC Log2 FC RawP FDR Average SD Average SD
ENSMUSG00000075707 Dio3 82.3875172 6.36435386 4.7499E-22 1.7416E-19 7.96831358 4.59579515 656.489572 229.835653
ENSMUSG00000064325 Hhip 82.0823811 6.35900068 6.0704E-54 9.0338E-51 8.91857894 2.87906586 732.058195 155.710915
ENSMUSG00000097758 Dio3os 69.4175062 6.11722763 1.4018E-41 1.612E-38 5.84745817 5.83167716 405.915963 93.8868307
ENSMUSG00000032517 Mobp 67.8055024 6.08333045 5.5873E-31 4.2835E-28 1.86323925 2.34119106 126.337874 31.3170661
ENSMUSG00000031073 Fgf15 52.7038764 5.71983717 1.3756E-96 1.16E-92 152.277335 111.900656 8025.60586 1237.95433
ENSMUSG00000045608 Dbx2 47.1893736 5.56039012 3.7256E-43 4.4882E-40 3.38315277 2.99144763 159.64886 31.6909208
ENSMUSG00000049796 Crh 40.8306688 5.35158129 2.1529E-05 0.00081173 3.26686208 3.21281656 133.388164 93.6383147
ENSMUSG00000030507 Dbx1 38.0194446 5.24866555 3.6317E-26 2.0881E-23 27.7421756 13.2249167 1054.74211 301.451019
ENSMUSG00000040543 Pitpnm3 19.2787426 4.26893905 4.7584E-27 3.0096E-24 10.5181239 1.3609172 202.776203 48.0779528
ENSMUSG00000025407 Gli1 18.6364862 4.22005797 3.99E-198 1.009E-193 81.5909417 30.4343144 1520.56846 123.97597
ENSMUSG00000038156 Spon1 14.9532123 3.90238353 2.55E-158 3.225E-154 56.2092056 22.9496826 840.508183 67.3977619
ENSMUSG00000096999 Gm26793 13.902041 3.7972248 1.3196E-66 4.7694E-63 15.772933 4.61397622 219.275962 28.1418305
ENSMUSG00000039830 Olig2 12.6102384 3.65652365 2.65E-10 2.7033E-08 69.5186604 19.2058548 876.646882 335.706
ENSMUSG00000022705 Drd3 10.9351284 3.45089825 1.7866E-12 2.5537E-10 2.96186159 2.09340292 32.3883366 5.63433683
ENSMUSG00000028681 Ptch2 10.6406223 3.41151062 1.5859E-70 6.687E-67 52.6270255 16.7143266 559.984299 68.0032837
ENSMUSG00000021466 Ptch1 10.5027097 3.39268968 5.0105E-57 8.4508E-54 692.640882 117.331353 7274.60609 1053.60989
ENSMUSG00000044220 Nkx2-3 10.1453116 3.34274127 7.382E-20 2.1222E-17 34.6890788 7.47294372 351.931514 86.7310817
ENSMUSG00000063600 Egfem1 9.46791651 3.24304698 1.358E-11 1.6759E-09 10.8922792 6.68726483 103.12719 32.3185231
ENSMUSG00000046160 Olig1 9.35940117 3.22641623 4.6615E-09 3.905E-07 6.21737577 1.93182166 58.1909141 21.2357905
ENSMUSG00000035946 Gsx2 9.19782474 3.20129271 8.7129E-05 0.00271461 40.8981257 51.8805517 376.173792 198.118943
ENSMUSG00000085072 Ict1os 7.94959453 2.99088128 2.0916E-13 3.4361E-11 5.31695799 2.76251218 42.2676602 8.90946841
ENSMUSG00000028370 Pappa 7.41766068 2.89096427 2.9723E-62 9.3997E-59 293.550189 58.6301674 2177.45569 265.650782
ENSMUSG00000102796 RP23-335B9.5 7.31629286 2.87111282 4.655E-11 5.353E-09 4.77449345 4.42629104 34.9315923 3.48684994
ENSMUSG00000030862 Cpxm2 7.24779323 2.8575418 1.7851E-57 3.2258E-54 39.618948 11.0091521 287.149943 5.16012755
ENSMUSG00000045591 Olig3 7.20471446 2.84894125 8.3417E-12 1.0658E-09 5.25145549 3.63879005 37.8352373 3.88669789
ENSMUSG00000003227 Edar 7.07128346 2.82197209 4.5951E-05 0.00156886 14.2573202 6.28628971 100.817552 49.3383641
ENSMUSG00000036466 Megf11 6.46970608 2.69370017 5.4537E-09 4.4364E-07 65.0626058 12.0041891 420.935937 144.39887
ENSMUSG00000074785 Plxnc1 6.4646009 2.69256131 1.0379E-57 2.0198E-54 1220.54603 85.3997809 7890.34299 984.760757
ENSMUSG00000099907 Gm10421 6.39502413 2.6769498 0.00019259 0.00527872 5.31695799 2.76251218 34.0020746 17.1217016
ENSMUSG00000031075 Ano1 6.35732479 2.6684198 1.743E-19 4.7931E-17 195.346022 110.705417 1241.87811 247.642224
ENSMUSG00000022123 Scel 6.32244811 2.66048329 2.1846E-06 0.00010235 3.17234829 1.39922353 20.0570074 4.89357975
ENSMUSG00000092035 Peg10 6.27994507 2.65075194 2.8891E-59 6.6448E-56 3817.18429 700.861794 23971.7077 2841.06804
ENSMUSG00000050447 Lypd6 6.23322426 2.63997862 3.7257E-23 1.5452E-20 714.738273 124.510077 4455.12394 879.153524
ENSMUSG00000086296 D030055H07Rik 6.19868743 2.63196276 5.2197E-08 3.5594E-06 237.148775 233.241004 1470.01113 483.09669
ENSMUSG00000030554 Synm 5.94385294 2.57139842 1.6757E-56 2.6495E-53 175.969431 16.7160858 1045.93642 126.207302
ENSMUSG00000079502 1700101E01Rik 5.92186351 2.56605124 4.8084E-23 1.9621E-20 21.9274193 4.44864992 129.851184 24.1986298
ENSMUSG00000026344 Lypd1 5.78045668 2.53118348 1.6816E-14 3.0827E-12 108.297771 11.4653093 626.010575 155.439255
ENSMUSG00000052301 Doc2a 5.74190592 2.52152969 1.507E-87 9.5315E-84 147.465778 24.7584518 846.734623 64.6720575
ENSMUSG00000036264 Fstl4 5.66355645 2.50170828 8.1061E-10 7.4573E-08 7.06205978 5.2274176 39.9963742 10.1087574
ENSMUSG00000027832 Ptx3 5.62037022 2.49066516 3.7632E-20 1.1334E-17 323.719795 71.905768 1819.4251 368.556876
ENSMUSG00000025856 Pdgfa 5.60936415 2.48783724 8.4139E-17 1.9529E-14 213.357738 41.0886507 1196.80125 267.580448
ENSMUSG00000039579 Grin3a 5.57374247 2.47864634 1.1749E-12 1.7382E-10 23.3137923 14.1868649 129.945074 30.2336844
ENSMUSG00000020902 Ntn1 5.5507006 2.47266988 1.2616E-18 3.1918E-16 182.967354 114.72434 1015.597 180.417925
ENSMUSG00000015501 Hivep2 5.36960862 2.42481694 2.9316E-27 1.9017E-24 366.270823 58.4251106 1966.73097 333.806373
ENSMUSG00000026765 Lypd6b 5.15521956 2.36603387 7.9847E-21 2.658E-18 64.128181 21.8461262 330.594853 59.9726836
ENSMUSG00000071862 Lrrtm2 5.15367748 2.36560226 5.4108E-15 1.0573E-12 99.5065322 21.4481348 512.824574 118.534936
ENSMUSG00000044499 Hs3st5 5.1458571 2.36341139 0.00036629 0.00909391 5.29148754 6.35506294 27.2292387 11.371032
ENSMUSG00000022449 Adamts20 5.09486349 2.34904349 8.4761E-35 7.6584E-32 879.123707 153.586556 4479.01527 645.467259
ENSMUSG00000047935 Gm5607 5.07145449 2.34239957 1.5793E-17 3.8051E-15 235.233075 84.7104464 1192.97383 238.817078
ENSMUSG00000050511 Oprd1 5.01904508 2.32741291 3.4705E-19 9.0517E-17 18.3322572 2.46129774 92.0104253 8.50394075
ENSMUSG00000042942 Greb1l 4.97801523 2.31557065 3.1282E-34 2.729E-31 40.9347158 11.732061 203.773639 24.7529018
ENSMUSG00000024565 Sall3 4.87269605 2.28472023 1.9085E-26 1.1496E-23 323.047376 135.817299 1574.11167 225.027015
ENSMUSG00000050830 Vwc2 4.77175349 2.25451952 4.5876E-10 4.4985E-08 15.1718669 6.17372207 72.3964088 19.3261315
ENSMUSG00000079042 Trim61 4.65688672 2.21936579 2.3428E-05 0.00087679 13.1499629 7.22679895 61.2378877 23.6763672
ENSMUSG00000020182 Ddc 4.23590166 2.0826691 9.4268E-08 5.9622E-06 20.3591524 11.1225092 86.2393673 24.3118885
ENSMUSG00000047773 Ankfn1 4.21116097 2.07421802 1.1688E-07 7.1944E-06 24.0803028 16.5671624 101.406031 27.6755788
ENSMUSG00000024302 Dtna 4.18161594 2.06406056 5.1632E-12 6.8081E-10 338.390772 40.517148 1415.02025 341.918631
ENSMUSG00000036800 Fam135b 4.12972627 2.04604616 6.3431E-08 4.1682E-06 9.42253743 4.08437337 38.9125003 3.17059338
ENSMUSG00000074607 Tox2 4.05513698 2.01975065 3.3761E-61 9.4903E-58 214.277748 34.3114331 868.925619 45.6255507
ENSMUSG00000075585 6330403L08Rik 4.04965382 2.01779859 1.1438E-23 4.9045E-21 81.839912 11.821983 331.423312 52.4601701
ENSMUSG00000079022 Col22a1 3.99687359 1.99887194 1.1506E-18 2.9403E-16 190.333392 55.8880568 760.738507 130.864341
ENSMUSG00000042596 Tfap2d 3.97894006 1.99238417 3.5297E-05 0.00124026 5.85024556 2.80274705 23.2777764 4.85423132
ENSMUSG00000051111 Sv2c 3.85688177 1.94743492 3.5418E-10 3.5557E-08 14.2768431 2.80800532 55.0640958 13.2925298
ENSMUSG00000068615 Gjd2 3.80184566 1.92669997 1.1779E-06 5.9128E-05 61.7032342 36.9856894 234.586174 66.2654422
ENSMUSG00000098720 Gm27239 3.77853425 1.9178267 8.3282E-06 0.00034082 11.659048 6.54292995 44.0541121 13.7787559
ENSMUSG00000049001 Ndnf 3.73392102 1.90069141 8.9513E-05 0.00277523 84.3597985 25.815264 314.992825 125.895367
ENSMUSG00000086166 Gm14342 3.73258508 1.90017514 0.00010402 0.00312902 27.0665733 5.77653922 101.028288 41.3763515
ENSMUSG00000089706 B230216N24Rik 3.72899772 1.89878791 5.5728E-09 4.5044E-07 23.7767168 2.64105515 88.6633225 23.6271382
ENSMUSG00000074664 A830092H15Rik 3.62105772 1.85641117 1.7952E-08 1.3203E-06 13.2193334 4.881595 47.8679692 8.86801891
ENSMUSG00000104362 RP23-14P23.9 3.61176286 1.85270317 2.0555E-05 0.00077731 10.3499453 4.08943513 37.381548 12.6185099
ENSMUSG00000020123 Avpr1a 3.53639057 1.82227762 2.9151E-05 0.00105961 7.54764523 2.02605087 26.6914214 8.0009556
ENSMUSG00000047490 4932411E22Rik 3.36693844 1.75143734 0.0010747 0.02232278 27.1248819 21.6975709 91.3278074 37.0073908
ENSMUSG00000027359 Slc27a2 3.34193228 1.7406825 2.3462E-07 1.3708E-05 51.0149118 24.0038259 170.488381 42.7610472
ENSMUSG00000084530 Mir1897 3.33807121 1.73901473 1.2453E-16 2.8382E-14 62.1838633 9.85874007 207.574164 35.9326096
ENSMUSG00000029819 Npy 3.31923275 1.7308498 4.1568E-05 0.00143077 15.0866798 6.98499659 50.0762016 15.7778788
ENSMUSG00000025592 Dach2 3.31374172 1.72846116 1.4124E-19 3.9266E-17 158.016602 8.62214082 523.626206 86.5639353
ENSMUSG00000035547 Capn5 3.31187319 1.72764743 2.3752E-06 0.00011006 306.765239 58.2130529 1015.96757 314.538138
ENSMUSG00000032500 Dclk3 3.30608859 1.72512538 0.00064073 0.01455132 6.13236946 4.597098 20.2741567 6.1767319
ENSMUSG00000024247 Pkdcc 3.30382084 1.72413545 1.126E-22 4.1892E-20 1252.30821 125.627043 4137.40196 623.825098
ENSMUSG00000022860 Chodl 3.30288747 1.72372782 4.0662E-07 2.2559E-05 147.882007 7.0214577 488.437628 143.929506
ENSMUSG00000021136 Smoc1 3.28121386 1.71422963 5.2404E-06 0.00022471 195.520108 59.5128888 641.543288 199.481655
ENSMUSG00000026830 Ermn 3.23714959 1.69472404 5.2745E-20 1.5699E-17 54.9546928 8.40074396 177.896562 16.5042846
ENSMUSG00000044646 Zbtb7c 3.23051993 1.69176638 2.302E-05 0.00086408 37.9170557 7.37660091 122.491804 42.2116689
ENSMUSG00000033578 Tmem35 3.2302653 1.69165266 1.5958E-36 1.4952E-33 1127.90224 120.959094 3643.42348 409.033682
ENSMUSG00000040490 Lrfn2 3.18401969 1.67084926 7.2752E-15 1.3944E-12 39.1071952 12.2460043 124.518079 18.6795639
ENSMUSG00000054667 Irs4 3.13177691 1.64698145 2.9078E-13 4.6854E-11 49.9437875 19.1290241 156.4128 24.0937045
ENSMUSG00000040138 Ndp 3.12319172 1.64302113 2.4726E-12 3.4752E-10 95.7876009 34.8465532 299.163042 49.7002428
ENSMUSG00000050840 Cdh20 3.08850363 1.62690802 1.1083E-25 5.8416E-23 106.913709 10.6422135 330.203377 43.9172105
ENSMUSG00000041741 Pde3a 3.04396437 1.60595147 1.96E-15 3.9354E-13 187.16056 6.74657395 569.710077 101.903411
ENSMUSG00000040274 Cdk6 3.00977691 1.58965656 3.4118E-07 1.9266E-05 268.749406 56.463021 808.875758 221.889593
ENSMUSG00000000394 Gcg 2.9987494 1.58436096 5.1988E-05 0.00174898 10.1749288 2.41034037 30.5120615 0.85945099
ENSMUSG00000019996 Map7 2.98414601 1.57731813 6.4478E-25 3.0778E-22 209.157269 51.450683 624.15583 66.9975195
ENSMUSG00000098795 Gm27403 2.97740163 1.57405384 7.5553E-05 0.00239226 9.91687056 1.18391156 29.5265066 7.14880484
ENSMUSG00000040856 Dlk1 2.94421152 1.55788132 4.357E-11 5.0797E-09 263.480148 38.0180169 775.741286 160.128256
ENSMUSG00000028327 Stra6l 2.88800126 1.53007137 5.8469E-06 0.00024819 15.4399989 9.43780409 44.5907361 8.76982563
ENSMUSG00000097391 Mirg 2.87721896 1.52467502 1.5303E-24 7.1693E-22 167.971733 41.2167474 483.291455 49.2273237
ENSMUSG00000026834 Acvr1c 0.35355123 −1.5000088 4.2937E-05 0.00147191 93.2425331 29.3210588 32.9660125 8.18849727
ENSMUSG00000010136 Pifo 0.35177415 −1.5072786 8.6817E-09 6.7167E-07 105.332893 17.5768786 37.0533893 17.2886542
ENSMUSG00000070469 Adamtsl3 0.35144023 −1.5086487 9.3984E-05 0.00287509 116.613241 37.4732435 40.9825842 15.0234823
ENSMUSG00000051295 9630028B13Rik 0.35118393 −1.5097013 4.0463E-13 6.3189E-11 643.36647 113.057645 225.939965 42.8499072
ENSMUSG00000028332 Hemgn 0.35116061 −1.5097971 1.9812E-05 0.00075373 37.0090921 7.46377266 12.9961354 5.29317298
ENSMUSG00000026894 Morn5 0.35106389 −1.5101945 0.00013151 0.0037938 29.4578997 1.90296451 10.3416047 5.65284779
ENSMUSG00000066720 Cldn9 0.3501717 −1.5138656 3.0908E-16 6.859E-14 162.137617 9.81486786 56.7760045 13.3936847
ENSMUSG00000068323 Slc4a5 0.34982911 −1.5152778 4.9013E-06 0.0002116 257.959456 63.4364916 90.2417258 44.5794649
ENSMUSG00000061702 Tmem91 0.34906622 −1.5184273 0.00019235 0.00527792 28.2810443 4.41105244 9.87195722 3.35910125
ENSMUSG00000064280 Ccdc146 0.34880428 −1.5195104 5.4773E-06 0.00023368 67.6679945 14.7495157 23.6028859 13.8770235
ENSMUSG00000052221 Ppp1r36 0.34759815 −1.5245077 9.7323E-05 0.00296289 30.9282928 7.99832995 10.7506174 4.11878765
ENSMUSG00000026614 Slc30a10 0.34661665 −1.5285872 6.1789E-14 1.0932E-11 2625.06768 451.787567 909.892154 182.852362
ENSMUSG00000018776 Slc35g3 0.34231249 −1.5466142 3.0021E-05 0.00108499 33.0592156 4.42957456 11.3165824 5.39664868
ENSMUSG00000038194 Lhb 0.34189609 −1.5483702 8.3389E-06 0.00034082 50.9958392 11.7095001 17.4352781 10.4529431
ENSMUSG00000026494 Kif26b 0.34152931 −1.5499187 6.9904E-16 1.4737E-13 1646.16747 225.295325 562.214447 166.65265
ENSMUSG00000090122 Kcne1l 0.34137833 −1.5505566 3.8971E-24 1.7297E-21 303.070236 33.6744393 103.461611 16.3432342
ENSMUSG00000030650 Tmc5 0.34032659 −1.5550082 1.0979E-10 1.187E-08 85.4614915 9.13797157 29.0848177 5.99513518
ENSMUSG00000022636 Alcam 0.33836637 −1.5633419 7.7325E-11 8.58E-09 4518.20486 531.333737 1528.80859 785.618951
ENSMUSG00000028801 Stpg1 0.33680821 −1.5700008 0.00019721 0.00539364 28.022659 9.89051345 9.43826152 3.43802694
ENSMUSG00000030708 Dnajb13 0.33460891 −1.5794522 1.0653E-11 1.3476E-09 97.9384992 10.9025795 32.7710949 13.6201729
ENSMUSG00000034739 Mfrp 0.33393231 −1.5823724 0.00052206 0.01229759 39.7498381 14.4999344 13.2737551 6.94579469
ENSMUSG00000031762 Mt2 0.32991896 −1.5998164 1.0548E-07 6.5725E-06 168.193072 36.616843 55.4900842 25.6080296
ENSMUSG00000041323 Ak7 0.32977503 −1.6004459 4.6104E-12 6.1713E-10 199.556069 21.9016896 65.8086098 34.3900865
ENSMUSG00000051029 Serpinb1b 0.32941754 −1.6020107 3.5974E-09 3.1062E-07 94.6752694 19.6879546 31.1876943 10.0230269
ENSMUSG00000048826 Dact2 0.32857889 −1.6056883 2.9565E-09 2.6061E-07 67.5667011 4.46401165 22.200992 5.13824377
ENSMUSG00000022342 Kcnv1 0.32508045 −1.6211313 1.7177E-20 5.4319E-18 199.990566 14.5393979 65.0130242 12.6451042
ENSMUSG00000054150 Syne3 0.3231294 −1.6298161 3.1021E-05 0.00111476 33.3875849 8.58598373 10.7885102 7.06796669
ENSMUSG00000031786 Drc7 0.32243301 −1.6329286 3.544E-06 0.00015813 85.4447152 23.245642 27.5501971 13.0218243
ENSMUSG00000052125 F730043M19Rik 0.32191534 −1.6352468 1.3558E-43 1.715E-40 836.211224 67.7734405 269.189218 39.8010956
ENSMUSG00000051590 Map3k19 0.31584865 −1.6626947 9.5026E-07 4.9264E-05 42.4070608 5.46925196 13.3942131 5.98432819
ENSMUSG00000038756 Ttll6 0.31442691 −1.6692034 3.5542E-07 2.0026E-05 43.8239805 7.14725631 13.7794388 5.32505088
ENSMUSG00000037035 Inhbb 0.31304247 −1.6755697 3.5631E-13 5.6339E-11 1032.43414 183.884547 323.195732 101.081264
ENSMUSG00000061808 Ttr 0.30760456 −1.7008512 1.5449E-08 1.1495E-06 14304.5738 3188.63324 4400.15215 2002.44794
ENSMUSG00000101179 Gm29455 0.30577595 −1.7094531 0.00022723 0.00607588 22.0819173 3.56153377 6.75211929 4.45730172
ENSMUSG00000047230 Cldn2 0.30381703 −1.7187254 3.9887E-06 0.00017611 35.7538356 8.01693491 10.862624 4.88830751
ENSMUSG00000023411 Nfatc4 0.30062238 −1.7339757 4.2209E-32 3.4446E-29 2612.87821 255.642523 785.489668 211.063917
ENSMUSG00000052861 Dnah6 0.29886891 −1.7424153 3.1911E-28 2.1245E-25 273.455133 14.0180069 81.7272382 31.1194414
ENSMUSG00000079436 Kcnj13 0.29519998 −1.7602355 8.5729E-15 1.6186E-12 154.575354 22.3890493 45.6306411 19.5662979
ENSMUSG00000041380 Htr2c 0.29407271 −1.7657552 4.4479E-14 7.9244E-12 624.592196 97.9410461 183.675522 78.5388983
ENSMUSG00000036915 Kirrel2 0.29200719 −1.7759242 2.6849E-06 0.00012305 33.4634662 7.26910455 9.77157288 2.22998818
ENSMUSG00000052273 Dnah3 0.28765566 −1.7975852 4.7127E-05 0.00160682 25.2599583 3.67878464 7.26617003 3.75148251
ENSMUSG00000079644 Gm1110 0.28392892 −1.8163983 2.9746E-06 0.00013511 32.8774224 7.5375032 9.33485109 4.91024916
ENSMUSG00000026156 B3gat2 0.282786 −1.8222174 4.8209E-09 4.012E-07 579.450548 146.932197 163.860502 41.8508846
ENSMUSG00000026483 Fam129a 0.27079892 −1.8847061 7.0404E-37 6.8506E-34 503.603766 18.0076799 136.375357 59.7699859
ENSMUSG00000032057 4833427G06Rik 0.26931801 −1.8926174 1.765E-05 0.00068069 25.5824477 4.27928489 6.88981391 4.48211718
ENSMUSG00000053519 Kcnip1 0.26834904 −1.8978174 6.5085E-10 6.144E-08 524.826687 134.430748 140.836739 12.9116317
ENSMUSG00000095369 Gm21859 0.26507365 −1.9155348 8.173E-06 0.00033512 28.1379005 9.23471864 7.45861593 2.55505494
ENSMUSG00000028523 Tctex1d1 0.25973819 −1.9448699 9.051E-05 0.00279586 21.0867309 3.99476738 5.47702936 2.35731468
ENSMUSG00000053441 Adamts19 0.25950133 −1.9461861 3.797E-07 2.1158E-05 505.608463 158.402559 131.20607 17.3208447
ENSMUSG00000062939 Stat4 0.25712319 −1.9594684 1.7507E-13 2.9139E-11 224.471089 49.3166255 57.7167219 4.10100963
ENSMUSG00000027962 Vcam1 0.25534623 −1.9694734 8.0639E-61 2.0401E-57 2919.72302 248.427664 745.540259 144.812934
ENSMUSG00000062778 Chia1 0.25252559 −1.9854985 9.6048E-07 4.9691E-05 31.0658681 2.32254611 7.84492666 3.13891683
ENSMUSG00000032420 Nt5e 0.2485827 −2.0082022 4.238E-08 2.9483E-06 51.5234588 13.2304449 12.8078406 6.2866767
ENSMUSG00000059146 Ntrk3 0.24840437 −2.0092375 2.0583E-58 4.3394E-55 1208.03749 113.821023 300.081793 48.1219032
ENSMUSG00000016386 Mpped2 0.24535894 −2.0270342 7.0496E-41 7.7543E-38 12554.5568 1398.64186 3080.3728 705.541299
ENSMUSG00000025469 Msx3 0.24431404 −2.0331913 1.7266E-10 1.8125E-08 55.2965682 9.06241138 13.5097279 5.44464353
ENSMUSG00000059991 Nptx2 0.2428446 −2.0418947 3.0911E-28 2.1135E-25 331.436701 43.8543483 80.4876128 22.6196345
ENSMUSG00000004558 Ndrg2 0.24232547 −2.044982 4.0113E-16 8.7484E-14 5271.28886 1007.63586 1277.36755 400.771571
ENSMUSG00000066224 Arid3c 0.24020674 −2.0576515 4.5053E-07 2.4671E-05 32.6716593 9.81351364 7.84795274 3.93796433
ENSMUSG00000039672 Kcne2 0.23992137 −2.0593664 2.303E-14 4.1616E-12 860.829612 155.413044 206.531418 108.293694
ENSMUSG00000061802 Armc4 0.22863882 −2.1288577 1.7317E-06 8.313E-05 39.1832147 12.0476208 8.95880413 5.28814123
ENSMUSG00000037086 Prr32 0.22125882 −2.1761932 5.5796E-05 0.00185735 45.1412802 16.648903 9.98790625 8.18876702
ENSMUSG00000054855 Rnd1 0.21071589 −2.246629 2.3699E-49 3.331E-46 374.829696 36.6287339 78.9825744 9.05599108
ENSMUSG00000052629 Gm9885 0.20466141 −2.288689 8.194E-15 1.5586E-12 84.4762655 16.9287558 17.2890316 8.53422365
ENSMUSG00000026167 Wnt10a 0.18096541 −2.4662141 4.4178E-05 0.00151241 22.9061816 9.76492573 4.14522666 2.39657559
ENSMUSG00000020061 Mybpc1 0.12630398 −2.985028 3.8792E-24 1.7297E-21 83.546948 9.20468128 10.5523119 5.96083163
ENSMUSG00000048758 Rpl29 0.11675463 −3.0984484 0.00119128 0.02428541 205.380236 133.296103 23.9790929 7.41230562
ENSMUSG00000013766 Ly6g6e 0.11025929 −3.1810278 4.1587E-06 0.00018203 22.2315421 9.62724081 2.45123409 0.92301324
ENSMUSG00000023484 Prph 0.06998924 −3.8367231 3.7796E-07 2.1108E-05 49.6871139 22.4248732 3.47756316 4.30497059
ENSMUSG00000004892 Bcan 0.06566811 −3.9286633 2.6431E-13 4.3141E-11 438.508098 149.646904 28.795998 17.7145662
ENSMUSG00000022129 Dct 0.04634385 −4.4314784 2.6101E-82 1.3206E-78 1257.91335 175.303114 58.296544 14.7646366
ENSMUSG00000062353 Gm15772 0.00636491 −7.2956441 3.0176E-08 2.175E-06 419.758154 278.168105 2.67172295 1.22642389
ENSMUSG00000083773 Gm13394 0.00469112 −7.7358528 5.4181E-09 4.4217E-07 1387.75004 923.084254 6.51009789 1.4542309

aThe top significantly expressed genes (FDR < 0.05) with a Log2FC of ±1.5; and read counts (FPKM) >20 for at least 1 genotype group in the E12.5 Sufu-cKO dorsal forebrain (n = 4 per genotype). FC, Unlogged fold change; Log2FC, log2 fold change; RawP, unadjusted p value; FDR, p value adjusted for multiple comparisons; average FPKM, average normalized sample values; SD, standard deviation of normalized sample values.

We confirmed that SHH signaling gene targets, such as Gli1, Patched 1 and 2 (Ptch1 and Ptch2), and the Hedgehog-Interacting Protein (Hhip), are specifically upregulated in the E12.5 Sufu-cKO neocortex compared with controls (FDR < 0.01; Fig. 2B; Table 3). We validated these observations by ISH using probes for Ptch1, which was ectopically expressed throughout the neocortical expanse (Fig. 2E,F) in contrast to controls (Fig. 2C,D). Levels of Ptch1 expression were confined within the VZ/SVZ across the cortical and hippocampal primordia (Fig. 2G,H) and were particularly high in rostral neocortical regions. Interestingly, expression of Ptch1 also followed a visible columnar pattern (Fig. 2G,H, arrows) along the anterior neocortex of the E12.5 Sufu-cKO mice. These findings indicated deregulation of SHH signaling in discrete neocortical progenitor subpopulations, and not differentiated neurons, in the E12.5 neocortex of Sufu-cKO mice.

Table 3.

Expression of genes associated with the SHH signaling pathwaya

Ensembl_ID Gene Mutant vs control
Control (FPKM)
Sufu-cKO (FPKM)
FC Log2 FC RawP FDR Average SD Average SD
ENSMUSG00000023000 Dhh 0.60 −0.74 3.42E-01 1.00E + 00 5.67 0.89 3.40 3.13
ENSMUSG00000006538 Ihh 1.19 0.25 8.40E-01 1.00E + 00 4.16 1.44 4.93 2.29
ENSMUSG00000002633 Shh 1.04 0.06 1.00E + 00 1.00E + 00 0.22 0.43 0.23 0.45
ENSMUSG00000025407b Gli1 18.64 4.22 3.99E-198 1.01E-193 81.59 30.43 1520.57 123.98
ENSMUSG00000048402b Gli2 1.57 0.65 3.41E-11 4.02E-09 2180.65 129.32 3420.06 273.85
ENSMUSG00000021318 Gli3 1.06 0.08 4.29E-01 1.00E + 00 10140.19 580.10 10701.03 996.24
ENSMUSG00000021466b Ptch1 10.50 3.39 5.01E-57 8.45E-54 692.64 117.33 7274.61 1053.61
ENSMUSG00000028681b Ptch2 10.64 3.41 1.59E-70 6.69E-67 52.63 16.71 559.98 68.00
ENSMUSG00000064325b Hhip 82.08 6.36 6.07E-54 9.03E-51 8.92 2.88 732.06 155.71
ENSMUSG00000022687 Boc 0.98 −0.03 7.09E-01 1.00E + 00 4082.93 354.37 3985.87 387.16
ENSMUSG00000052957b Gas1 0.61 −0.71 1.86E-06 8.88E-05 7965.08 1277.51 4860.73 187.79
ENSMUSG00000038119b Cdon 0.43 −1.23 4.91E-26 2.70E-23 21912.76 2371.76 9314.91 711.74
ENSMUSG00000001761 Smo 0.92 −0.12 2.02E-01 9.02E-01 5502.55 145.38 5069.64 584.69
ENSMUSG00000025231b Sufu 0.36 −1.46 7.48E-46 9.96E-43 3436.77 291.10 1248.15 144.31

aFC, Unlogged fold change; Log2FC, log2 fold change; RawP, unadjusted p value; FDR, p value adjusted for multiple comparisons; average FPKM, average normalized sample values; SD, standard deviation of normalized sample values.

bGenes are significantly upregulated in the E12.5 Sufu-cKO dorsal forebrain (n = 4 mice per genotype).

Altered molecular identity of progenitors in the E12.5 Sufu-cKO neocortex

Since changes in SHH signaling activity in the neocortex are known to disrupt progenitor fate specification in late-stage corticogenesis (Komada et al., 2008a; L. Wang et al., 2016), we wondered whether the ectopic activation of SHH signaling at E12.5 initiated a cascade of disruptive differentiation events. Functional analysis of the transcriptome using the Database for Annotation, Visualization, and Integrated Discovery (DAVID; https://david.ncifcrf.gov/) (Huang et al., 2009) found overrepresentation of genes with gene ontology terms associated with neural development, commitment, specification, and differentiation (Fig. 3A). Further examination of specific gene sets showed relatively mild changes in the expression of genes typical of dorsal forebrain progenitors (Fig. 3B; Table 4). Indeed, similar to Pax6 expression in Figure 1, other markers for dorsal forebrain cells, such as Tbr2, Lhx2, and Nr2f1, remained expressed, and may be even expressed at slightly higher levels in the mutant neocortex as observed with Pax6, Tbr1, Nr2f1, or Nr2f2 (Fig. 3B; Table 4). These findings validated the efficiency of the dissection and confirmed that the molecular identity of dorsal forebrain domains was established in the E12.5 Sufu-cKO neocortex.

Figure 3.

Figure 3.

Increased expression of ventral progenitor markers in neocortical progenitors of E12.5 Sufu-cKO embryos. A, Functional annotation of differentially expressed genes identified by RNA-Seq show top GOTERM Biological Processes (with adjusted p value < 0.05) involve development, specification, differentiation, and fate commitment (*). There is also a notable enrichment in ion transmembrane transport GOTERMs, reflecting disrupted electrophysiological properties because of abnormal differentiation of neurons or specific neuronal subtypes. B, Heat map of select genes typically expressed by dorsal or ventral progenitors in individual control and Sufu-cKO mice (n = 4 mice per genotype). RNA levels (Log2 FPKM scale) reflect mild differences in expression of dorsal progenitor genes (reflected by fold change scale), while dramatic differences in expression levels of ventral progenitor genes are observed between controls and Sufu-cKO dorsal forebrain (see also Table 4). C, Immunofluorescence staining for pallial-specific marker, Tbr2, in coronal sections of the E12.5 Sufu-cKO and control forebrain showed exclusive expression in the neocortex across the A-P axis. Pallial-specific markers NR2F1 and Lhx2 were similarly confined in the dorsal forebrain (Extended Data Fig. 3-1B,C). Scale bar, 100 µm. D, E, Immunofluorescence staining for Olig2 (D) and ISH for Dlx1 (E) on coronal sections of the E12.5 control and Sufu-cKO forebrain validate the ectopic expression of subpallial-specific genes across the A-P axis of the E12.5 Sufu-cKO neocortex, whereas these genes were absent in controls. Olig2- and Dlx1- expressing cells largely localized in the VZ and SVZ. Some groups of cells expressing Olig2 and Dlx1 also appeared in columnar arrangement (arrows). Similar columnar pattern was also detected in cells ectopically expressing another subpallial-specific marker, Gsx2 (Extended Data Fig. 3-1D). Few Olig2+ cells also began to exhibit an irregular pattern along the pallial-subpallial boundary in the E11.5 Sufu-cKO forebrain (Extended Data Fig. 3-1E). Scale bar, 100 µm. F, Double immunofluorescence staining on E12.5 sagittal sections with Pax6 and Olig2 showed ectopic expression of Olig2 in areas where Pax6 is missing in the Sufu-cKO neocortex (arrows), whereas Olig2 was not expressed in this region in the control neocortex. However, Ascl1 was not similarly affected since protein levels of Ascl1 were low in the E12.5 Sufu-cKO and control neocortex (Extended Data Fig. 3-1A). This pattern of Olig2 and Pax6 expression continued in the E14.5 neocortex, when ectopic expression of Ascl1 was also prevalent in the VZ/SVZ (Extended Data Fig. 3-2A,B). Scale bar, 250 µm. G, Double immunofluorescence staining with Tbr2 and Olig2 on sagittal sections of E12 Sufu-cKO and control littermates showed that, unlike Pax6+ cells, the distribution of Tbr2+ cells was not affected in the anterior regions where ectopic expression of Olig2 was present. However, Tbr2+ cells were found to coexpress Olig2 in more anterior regions of the E12.5 Sufu-cKO neocortex. By E14.5, areas where Tbr2+ cells were absent in the anterior neocortex, showed Ascl1-expressing cells (Extended Data Fig. 3-2C). Scale bar, 250 µm.

Table 4.

Expression of pallial- and subpallial-specific genesa

Ensembl_ID Gene Mutant vs control
Controls (FPKM)
Sufu-cKO (FPKM)
FC Log2 FC RawP FDR Average SD Average SD
Pallial-specific genes ENSMUSG00000027168 Pax6 1.45178268 0.53782551 1.004E-08 7.6972E-07 7334.1262 557.776073 10647.5574 579.137216
ENSMUSG00000035033 Tbr1 1.22502496 0.29281114 0.00215728 0.03954861 7034.87917 270.071078 8617.90254 557.7091
ENSMUSG00000032446 Eomes 1.09461657 0.1304256 0.15380485 0.79883164 8778.80064 946.263097 9609.42061 765.318
ENSMUSG00000043969 Emx2 0.60690796 −0.7204503 1.1807E-13 2.0184E-11 6169.69045 604.010197 3744.43426 268.720823
ENSMUSG00000033726 Emx1 0.60444715 −0.7263119 3.255E-06 0.00014653 1588.14413 187.604638 959.9492 200.078024
ENSMUSG00000048562 Sp8 0.53768597 −0.8951643 0.00018879 0.00520849 1437.66797 300.580706 773.01389 199.878775
ENSMUSG00000000247 Lhx2 0.70189749 −0.5106678 6.8017E-08 4.4235E-06 17739.2767 1437.7177 12451.1537 1359.0387
ENSMUSG00000069171 Nr2f1 1.59051974 0.66949828 0.00014645 0.00415822 7171.74849 888.316712 11406.8075 2022.77936
ENSMUSG00000030551 Nr2f2 2.62720361 1.39352802 0.00048355 0.01154083 1231.1201 229.798831 3234.40319 1174.67098
Subpallial-specific genes ENSMUSG00000041911 Dlx1 3.09901298 1.6318088 0.07970986 0.56981627 461.094387 506.237194 1428.93749 954.933235
ENSMUSG00000023391 Dlx2 3.95059159 1.98206871 0.02352951 0.25117012 184.932474 200.493153 730.592677 453.539091
ENSMUSG00000020052 Ascl1 1.72359337 0.78541945 0.00107784 0.02236943 1331.20054 187.629663 2294.44843 561.105261
ENSMUSG00000053129 Gsx1 1.35616481 0.43953252 0.85642916 1 2.18572234 4.37144469 2.96419973 2.64163128
ENSMUSG00000035946 Gsx2 9.19782474 3.20129271 8.7129E-05 0.00271461 40.8981257 51.8805517 376.173792 198.118943
ENSMUSG00000046160 Olig1 9.35940117 3.22641623 4.6615E-09 3.905E-07 6.21737577 1.93182166 58.1909141 21.2357905
ENSMUSG00000039830 Olig2 12.6102384 3.65652365 2.65E-10 2.7033E-08 69.5186604 19.2058548 876.646882 335.706
ENSMUSG00000045591 Olig3 7.20471446 2.84894125 8.3417E-12 1.0658E-09 5.25145549 3.63879005 37.8352373 3.88669789
ENSMUSG00000001496 Nkx2-1 0.22177988 −2.1727996 0.39910601 1 25.2811711 45.3686169 5.6068551 6.573452
ENSMUSG00000044220 Nkx2-3 10.1453116 3.34274127 7.382E-20 2.1222E-17 34.6890788 7.47294372 351.931514 86.7310817

aExpression of select genes typically expressed by dorsal or ventral progenitor in individual control and Sufu-cKO mice (n = 4 mice per genotype). FC, Unlogged fold change; Log2FC, log2 fold change; RawP, unadjusted p value; FDR, p value adjusted for multiple comparisons; average FPKM, average normalized sample values; SD, standard deviation of normalized sample values.

Figure 3-1

Increased expression of ventral progenitor markers in the E12.5 Sufu-cKO neocortex. (A) Immunofluorescence staining for Ascl1 and Pax6 on representative coronal sections of E12.5 control and Sufu-cKO neocortex showed very low levels of Ascl1 protein expression in the E12.5 neocortex with either genotypes.(B, C) ISH using riboprobes for NR2F1 (B) and Lhx2 (C) were conducted on coronal sections of E12.5 control and Sufu-cKO neocortex showed that these pallial-specific markers were comparably expressed in both control and mutant mice. Scale bar, 200 µm. (D) Immunofluorescence staining for the subpallial-specific marker, Gsx2, on representative coronal sections of E12.5 control and Sufu-cKO neocortex. Gsx2 was detected in the anterior regions of the E12.5 Sufu-cKO neocortex and showed a columnar pattern of expression.(E) Immunofluorescence staining for the subpallial-specific marker, Olig2, on coronal sections of E11.5 control and Sufu-cKO neocortex showed irregularities in Olig2 expression in the Sufu-cKO neocortex, particularly near the pallial-subpallial boundary. Download Figure 3-1, TIF file (8.3MB, tif) .

Figure 3-2

Ectopic expression of Olig2 precedes Ascl1 expression in the E14.5 Sufu-cKO neocortex. (A) Immunofluorescence staining for Olig2 and Pax6 on representative coronal sections of E14.5 control and Sufu-cKO neocortex. Ectopic expression of Olig2 was detected across the A-P axis, with a columnar pattern of expression prevalent in anterior regions of the E14.5 Sufu-cKO neocortex. (B, C) Immunofluorescence staining for Ascl1 and Pax6 (B) or Tbr2 (C) on coronal sections of E14.5 control and Sufu-cKO neocortex. Ectopic expression of Ascl1 was detected across the A-P axis of the E14.5 Sufu-cKO neocortex. However, more Ascl1+ cells were detected in anterior regions. Download Figure 3-2, TIF file (10.8MB, tif) .

Nevertheless, RNA levels for several ventral progenitor genes dramatically increased in the E12.5 Sufu-cKO neocortex compared with controls (Fig. 3B). We found a specific increase in the expression of subpallial-specific genes in the neocortex (Fig. 3B; Table 4). Moreover, while we previously did not observe a significant increase in Ascl1 protein expression in the E12.5 neocortex (Yabut et al., 2015), here we found significantly higher levels of Ascl1 transcript, despite not detecting Ascl1 protein (Extended Data Fig. 3-1A). Additionally, significant upregulation of genes normally expressed in the GE, such as Gsx2 and Dlx1/2 (Petryniak et al., 2007), was also ectopically expressed in the neocortex of E12.5 Sufu-cKO mice (Fig. 3B).

We subsequently conducted immunostaining or ISH experiments to validate the expression of subpallial-specific markers. In agreement with the transcript increase quantified by RNA-Seq, visibly higher levels of Tbr2+, NR2F1+, and Lhx2+ cells were observed across the anterior to posterior axis of the Sufu-cKO neocortex compared with controls (Fig. 3B,C; Extended Data Fig. 3-1B,C). Similarly, ectopic expression of subpallial-specific genes Olig2, Dlx1, and Gsx1 was detected in the E12.5 Sufu-cKO neocortex (Fig. 3D,E; Extended Data Fig. 3-1D). Expression of these genes was detected in the SVZ and VZ regions of the E12.5 Sufu-cKO neocortex and exhibited a columnar pattern, whereas these genes were absent in controls. Additionally, neocortical progenitors in these regions were improperly specified since we detected ectopic expression of the ventral forebrain progenitor marker, Olig2, in areas where Pax6 was absent in the E12.5 Sufu-cKO neocortex (Fig. 3F, arrows), whereas Olig2 was completely absent in the neocortex of control mice. This expression pattern persisted in the anterior regions of the E14.5 Sufu-cKO neocortex but not in posterior regions (Extended Data Fig. 3-2A). However, we did not see similarly extensive disruptions in Tbr2 expression in the E12.5 Sufu-cKO neocortex, even in areas where Olig2+ cells were highly enriched (Fig. 3C,G). Nevertheless, while the majority of Tbr2+ cells in the E12.5 Sufu-cKO SVZ did not coexpress Olig2, a few cells within the VZ coexpressed Olig2 and Tbr2 (Fig. 3G, boxed inset, arrowheads). Further, by E14.5, Tbr2+ cells, similar to Pax6+ cells, became intermittent in the anterior neocortex of Sufu-cKO mice and were populated by Ascl1+ cells (Extended Data Fig. 3-2B,C). Ectopic expression of Olig2 was not prevalent in the E11.5 Sufu-cKO neocortex, although we noted irregularities in Olig2 expression near the pallial-subpallial boundary (Extended Data Fig. 3-1E), indicating that a subset of aberrant progenitors may be present at this stage. Together, these findings establish that activation of SHH signaling in early stages of corticogenesis did not disrupt the regionalization of dorsoventral axis but has begun to destabilize the specification program of neocortical RG progenitors to disrupt the specification of Tbr2+ IPCs.

Ectopic activation of SHH signaling upregulates FGF15 expression

To determine how these genetic changes mediated specification defects in the E12.5 Sufu-cKO neocortex, we further analyzed the overall nature of differentially expressed genes from our RNA-Seq data (Table 2). Functional analysis of the transcriptome using DAVID showed enrichment of genes encoding proteins with roles in cell-cell communications, such as membrane-bound or extracellular matrix proteins in the E12.5 Sufu-cKO transcriptome (Fig. 4A; Table 5). Thus, the molecular makeup of the VZ/SVZ progenitor niche has been significantly altered in response to the ectopic activation of SHH signaling in the E12.5 Sufu-cKO neocortex. Among these is the gene encoding the secreted ligand, Fibroblast Growth factor 15 (Fgf15) (Fig. 4B). Fgf15 was a previously reported SHH signaling gene target in the developing cerebellum affecting neuronal precursor behavior (Gimeno and Martinez, 2007; Komada et al., 2008b; Kim et al., 2018). Similarly, we found that, in the E12.5 Sufu-cKO neocortex, Fgf15 dramatically increased (5.72 log2 fold change, p < 0.0001), likely as a consequence of Gli3R loss. ISH using Fgf15 riboprobes confirmed these findings, with Fgf15 ectopically expressed throughout the neocortical wall of the E12.5 and E14.5 Sufu-cKO mice while Fgf15 expression was relatively low in controls (Fig. 4C,D). We also observed upregulation of Fgf15 in embryos in which Smo was constitutively active in neocortical progenitors (Emx1-Cre;SmoM2 or SmoM2-cA) (Long et al., 2001), confirming the role of activated SHH signaling in inducing Fgf15 gene expression in the embryonic neocortex (Extended Data Fig. 4-1). Importantly, Fgf15 expression in the E12.5 Sufu-cKO was detected along the VZ/SVZ, and particularly overlapped with Ptch1-expressing cells in the VZ (Fig. 4E). These observations indicated that ectopic Fgf15 expression was induced in RG progenitors along the VZ and persisted in IPCs as a consequence of loss of Sufu and deregulated SHH signaling.

Figure 4.

Figure 4.

Ectopic activation of SHH signaling drives Fgf15 expression in neocortical progenitors of E12.5 Sufu-cKO embryos. A, Functional annotation of differentially expressed genes identified by RNA-Seq showing the majority of genes encode proteins that localize to extracellular matrix or cell surface/membrane as the top GOTERMs cell compartments (with adjusted p value < 0.05). B, Heat map of top differentially expressed genes encoding extracellular matrix or cell membrane-bound proteins between control and Sufu-cKO mice (n = 4 mice per genotype). RNA levels (Log2 FPKM scale) show expression of Fgf15 is significantly upregulated (reflected by fold change scale in the E12.5 Sufu-cKO dorsal forebrain; see also Table 5). C, D, ISH for Fgf15 in the E12.5 and E14.5 control and Sufu-cKO neocortex. High levels of Fgf15 expression were detected throughout the E12.5 Sufu-cKO dorsal forebrain, and particularly enriched in the VZ/SVZ regions, whereas Fgf15 expression was detected only in ventral forebrain regions in controls (C). Expression of Fgf15 persisted in the E14.5 control and Sufu-cKO forebrains (D). Ectopic expression of Fgf15 was also detected in transgenic mice carrying constitutively active Smoothened allele (Extended Data Fig. 4-1). These findings confirmed that activation of SHH signaling and loss of Sufu force Fgf15 expression in the embryonic neocortex. Scale bar, 500 µm. E, Multiplex RNAscope ISH of Ptch1 and Fgf15 riboprobes on E12.5 brains did not detect Ptch1 expression, whereas low levels of Fgf15 expression were detected in the VZ and SVZ of the neocortex of controls. In the E12.5 Sufu-cKO neocortex, high levels of Ptch1 and Fgf15 colocalization were detected in the VZ and SVZ. Sections are counterstained with DAPI. Scale bar, 10 µm.

Table 5.

List of genes encoding extracellular matrix or cell membrane-bound proteinsa

Gene Description Mutant vs control
Controls (FPKM)
Sufu-cKO (FPKM)
FC Log2 FC RawP FDR Average SD Average SD
Hhip Hedgehog-interacting protein 82.0823811 6.35900068 6.07E-54 9.03E-51 8.91857894 2.87906586 732.058195 155.710915
Fgf15 FGF15 52.7038764 5.71983717 1.38E-96 1.16E-92 152.277335 111.900656 8025.60586 1237.95433
Spon1 spondin 1, (f-spondin) extracellular matrix protein 14.9532123 3.90238353 2.55E-158 3.23E-154 56.2092056 22.9496826 840.508183 67.3977619
Ptch1 patched homolog 1 10.5027097 3.39268968 5.01E-57 8.45E-54 692.640882 117.331353 7274.60609 1053.60989
Lypd6 LY6/PLAUR domain containing 6 6.23322426 2.63997862 3.73E-23 1.55E-20 714.738273 124.510077 4455.12394 879.153524
Lypd1 Ly6/Plaur domain containing 1 5.78045668 2.53118348 1.68E-14 3.08E-12 108.297771 11.4653093 626.010575 155.439255
Pdgfa platelet derived growth factor, alpha 5.60936415 2.48783724 8.41E-17 1.95E-14 213.357738 41.0886507 1196.80125 267.580448
Adamts20 a disintegrin-like and metallopeptidase (reprolysin type) with thrombospondinType 1 motif, 20 5.09486349 2.34904349 8.48E-35 7.66E-32 879.123707 153.586556 4479.01527 645.467259
Smoc1 SPARC related modular calcium binding 1 3.28121386 1.71422963 5.24E-06 0.00022471 195.520108 59.5128888 641.543288 199.481655
Adamts19 a disintegrin-like and metallopeptidase (reprolysin type) with thrombospondinType 1 motif, 19 0.25950133 −1.9461861 3.80E-07 2.12E-05 505.608463 158.402559 131.20607 17.3208447
Vcam1 vascular cell adhesion molecule 1 0.25534623 −1.9694734 8.06E-61 2.04E-57 2919.72302 248.427664 745.540259 144.812934
Bcan brevican 0.06566811 −3.9286633 2.64E-13 4.31E-11 438.508098 149.646904 28.795998 17.7145662

aTop differentially expressed genes encoding extracellular matrix or cell membrane-bound proteins between the E12.5 control and Sufu-cKO dorsal forebrain (n = 4 embryos per genotype). FC, Unlogged fold change; Log2FC, log2 fold change; RawP, unadjusted p value; FDR, p value adjusted for multiple comparisons; average FPKM, average normalized sample values; SD, standard deviation of normalized sample values.

Figure 4-1

Constitutive activation of Shh signaling drives ectopic Fgf15 expression in the embryonic neocortex. ISH using FGF15-specific riboprobes on E12.5 embryos carrying the constitutively active Smoothened allele in neocortical progenitors (Emx1-Cre;SmoM2 or SmoM2-cA) showed upregulation of Fgf15 expression across the neocortical expanse. Download Figure 4-1, TIF file (2.4MB, tif) .

Upregulated FGF15 expression correlates with ectopic activation of MAPK signaling in neocortical progenitor zones

FGF15 preferentially binds to its cognate receptor, FGF receptor 4 (FGFR4), to activate intracellular signaling cascades, particularly the Ras/mitogen-activated protein kinase (MAPK) pathway (Guillemot and Zimmer, 2011). Indeed, in the neocortex of E12.5 Sufu-cKO mice, MAPK signaling pathway activity, as marked by phosphorylated-ERK1/2 (pERK1/2+) labeling, is visibly upregulated unlike controls (Fig. 5A). We found that pERK1/2+ areas occupied the progenitor-rich VZ/SVZ neocortical regions, whereas it was largely undetected in similar neocortical regions in controls. Quantification of pERK1/2+ regions in representative sections across the dorsal forebrain (Fig. 5C) showed a consistently larger area with pERK1/2+ immunoreactivity in the E12.5 Sufu-cKO cortex compared with controls (two-way ANOVA, p = 0.0365, n = 5 control/Sufu-cKO embryos) (Fig. 5D; Table 1). This remained true at E14.5, where pERK1/2+-rich regions were detected further toward the dorsal regions of the Sufu-cKO neocortex (Fig. 5B). Quantification of pERK1/2+ regions in the E14.5 neocortex confirmed these observations and showed a significant increase in Sufu-cKO mice (two-way ANOVA, p = 0.013, n = 3-5 control/Sufu-cKO embryos) (Fig. 5E; Table 1). At both E12.5 and E14.5 time points, cells labeled with pERK1/2+ clearly overlapped with FGF15-expressing VZ/SVZ areas in the Sufu-cKO neocortex (Fig. 4D). Together, these observations indicated that loss of Sufu resulted in the overexpression of FGF15 in the neocortex, subsequently driving the ectopic activation of FGF signaling to activate intracellular MAPK signaling in neocortical progenitors.

FGF15 upregulation is required to elicit SHH signaling-mediated defects in the production and specification of IPCs

Reduction in IPCs is a consistent phenotype in the embryonic neocortex of mice with excessive levels of SHH signaling, including Sufu-cKO mice (Komada et al., 2008a; Dave et al., 2011; Yabut et al., 2015). We therefore investigated whether downregulation of IPCs in the neocortex because of ectopic SHH signaling is directly mediated by FGF15 signaling. To test this, we cultured WT forebrain slices from the anterior regions of E12.5 control and Sufu-cKO embryos (Fig. 6A). Forebrain organotypic cultures maintain the 3D structure of the VZ/SVZ niche, allowing for careful examination of how precisely added compounds affect progenitor behavior over time. Forebrain slices cultured for 2 DIV maintain their anatomic features with well-preserved dorsal and ventral domains. Neocortical IPCs typically expressing Tbr2 (Hevner, 2019) were exclusively observed in the dorsal forebrain whereas ventral forebrain progenitors were typically expressing Olig2 (Miyoshi et al., 2007) (Fig. 6B). Addition of various compounds altered IPC numbers in neocortical regions of forebrain slices (one-way ANOVA, p = 0.0001, n = 3 per treatment condition) (Fig. 6C,D). SHH ligands significantly decreased the number of Tbr2+ cells in neocortical slices after 2 DIV compared with mock-treated controls (SHH-treated = 3792 ± 913.9 cells/mm2; DMSO-treated = 9207 ± 303.5 cells/mm2; Holm-Sidak's multiple comparisons test, p = 0.0004). Similarly, Tbr2+ IPCs were significantly reduced on addition of FGF15 alone (FGF15-treated = 6448 ± 526.8 cells/mm2; Holm-Sidak's multiple comparisons test, p = 0.05) or with SHH (FGF15+ SHH-treated = 4511 ± 645.7 cells/mm2; Holm-Sidak's multiple comparisons test, p = 0.0014). However, addition of cyclopamine, which inhibits SHH signaling by rendering Smo inactive, did not alter the number of Tbr2+ IPCs (cyclopamine-treated = 8736 ± 644 cells/mm2; Holm-Sidak's multiple comparisons test, p = 0.6585). Instead, addition of cyclopamine and FGF15 significantly reduced the number of IPCs after 2 DIV (cyclopamine + FGF15-treated = 5550 ± 187.3 cells/mm2; Holm-Sidak's multiple comparisons test, p = 0.0095). These findings indicated that blocking transmembrane proteins upstream of the SHH signaling pathway cannot sufficiently alter IPC production. Additionally, expression of downstream SHH gene targets, particularly FGF15, is required to exert changes in neocortical IPCs of the developing neocortex.

Figure 6.

Figure 6.

SHH signaling activates FGF15 signaling to inhibit production of neocortical IPCs. A, Diagram of experimental design for organotypic forebrain slice cultures from WT E12.5 brains. B, Immunofluorescence staining for dorsal (Tbr2, green) and ventral (Olig2, red) forebrain markers show exclusive localization of Tbr2-expressing and Olig2-expressing cells in dorsal and ventral forebrain regions, respectively. Merged images represent no overlap in Tbr2 or Olig2 labeling. Scale bar, 500 µm. C, Immunofluorescence staining with Tbr2 of sectioned organotypic slice cultures fixed after 2 DIV. Slices treated with 200 ng/ml SHH and 100 ng/ml FGF15 show reduced numbers of Tbr2+ IPCs compared with slices treated with DMSO or 5 μm cyclopamine. Combined FGF15 and SHH or FGF15 and cyclopamine also show reduced Tbr2+ IPCs. Quantification of Tbr2+ cells per unit area (D) confirm significant interaction between treatments (repeated-measures two-way ANOVA, p = 0.0001). Significant differences in Tbr2+ IPCs in SHH and FGF15-treated slice cultures (n = 3 experiments [2 or 3 slices each experiment] per treatment condition). Significance between treatment conditions: *p ≤ 0.05; **p ≤ 0.01; ***p ≤ 0.001; repeated-measures, one-way ANOVA with Holm-Sidak's multiple comparisons test. Values of statistics are shown in Table 1. Bar graphs represent average values. Error bars indicate SEM.

High levels of FGF15 alter the specification program of neocortical progenitors

Ectopic SHH signaling in the developing neocortex ultimately results in the production of confused progenitors unable to maintain a specified neocortical neural fate (Yabut et al., 2015). The expansive ectopic activation of MAPK signaling, capable of altering neocortical progenitor fate (Y. Wang et al., 2012), in the Sufu-cKO embryonic neocortex is a likely consequence of increasing levels of FGF15. We tested this by adding FGF15 in organotypic forebrain cultures and examined whether this alone altered the fate of neocortical progenitors based on Olig2 expression. Indeed, we found that, after 2 DIV, the decrease in Tbr2+ IPCs correlated with an obvious increase in Olig2+ cells in FGF15-treated slices compared with DMSO-treated controls (Fig. 7A-D). Further, low levels of Olig2 expression were detected in the VZ region, where Olig2 is typically not expressed in controls. Rather, in FGF15-treated slices, Olig2+ cells may coexpress low levels of Tbr2, indicating that treatment of FGF15 began to alter the identity of RG progenitors transitioning into IPCs (Fig. 7G,H, arrows). Indeed, many Olig2+ cells in the SVZ also expressed Tbr2 in FGF15-treated slices compared with DMSO-treated controls (Fig. 7E,F). Our quantification confirmed these observations, showing the ∼4.5-fold increase in misspecified Tbr2+ cortical progenitors in FGF15-treated slices compared with DMSO-treated controls (FGF15-treated = 18.2 ± 4.8 cells/mm2; DMSO-treated = 4.03 ± 1.6 cells/mm2; unpaired t test, p = 0.0186) (Fig. 7I). These findings indicate that excessive levels of FGF15 can sufficiently alter the identity of neocortical progenitors, leading to the failure to maintain a proper specification program in the developing neocortex.

Figure 7.

Figure 7.

Increasing FGF15 levels alter the specification program of neocortical progenitors. A–F, Double immunofluorescence staining with IPC marker Tbr2 (red) and the ventral progenitor marker Olig2 (green) on organotypic slice cultures fixed 2 DIV and after treatment. DMSO-treated slices show an abundance of Tbr2+ IPCs in the SVZ (A) and some Olig2-expressing cells outside of the VZ/SVZ area (B). In contrast, Tbr2+ IPCs in FGF15-treated slices are fewer (B) and more Olig2+ cells are present in the VZ/SVZ (F). Although Tbr2+ cells expressing Olig2 were also sometimes observed in DMSO-treated slices (yellow arrow, C), the amount of double-labeled in FGF15-treated slices were visibly higher in the VZ/SVZ (G,H, yellow arrows). Scale bar, 50 µm. I, Graph represents the % of Tbr2+ cells colabeled with Olig2 in the VZ/SVZ of DMSO- and FGF15-treated slices (n = 3 experiments [2 or 3 slices each experiment] per treatment condition). The percentage of Tbr2+ coexpressing Olig2 is approximately fourfold in FGF15-treated over control DMSO-treated slices and is significantly higher (*p ≤ 0.05). Values of statistics are shown in Table 1. Bar graphs represent average values. Error bars indicate SEM.

Discussion

Excitatory neurons in the mammalian neocortex are generated in a limited period at embryonic stages and mature into molecularly diverse subpopulations at postnatal stages. A strict specification program is maintained by neural progenitors to generate precise numbers and lineages, relying on spatially and temporally modulated molecular cues present in neurogenic niches of the embryonic forebrain. Our study identified SHH and FGF15 signaling as key pathways that must be tightly modulated to ensure successful differentiation of neocortical progenitors into distinct excitatory neuron lineages in the course of corticogenesis (Fig. 8). These findings further underscore the importance of key modulatory factors at crucial time points in establishing and maintaining neocortical progenitor programs.

Figure 8.

Figure 8.

Schematic diagram of how modulation of SHH and FGF signaling affects neocortical progenitors at early stages of corticogenesis. Controlled SHH and FGF signaling, resulting from the repressive function of Gli3R, in the dorsal forebrain, maintains the neocortical identity and specification program of progenitors. Uncontrolled SHH and FGF signaling, achieved when Sufu expression is lost consequently leading to Gli3 degradation and the eventual upregulation of FGF15 expression, results in the inability of neocortical progenitors to maintain the dorsal forebrain identity and specification program.

Neuronal lineage progression relies on the molecular makeup of the neurogenic niche at E12.5

Embryonic neocortical progenitors must follow strict lineage programs throughout corticogenesis to ensure the production of molecularly and functionally diverse excitatory neurons in the mature neocortex. Here, we determined that molecular events in early corticogenesis ensure proper lineage progression of neocortical progenitors. This process relies on tightly inhibiting SHH signaling activity. While pallial-specific progenitors, such as Pax6+ RGCs or Tbr2+ IPCs, are produced in the Sufu-cKO neocortex, these progenitors possessed underlying transcriptomic changes compromising their lineage progression. Many of these changes involved extracellular or plasma membrane-bound proteins, which can substantially alter intercellular and extracellular interactions within the neurogenic niche. Further, we found that subpallial-specific gene transcripts were already ectopically expressed in the E12.5 Sufu-cKO. These indicated that while proteins encoded by these genes may not be detected in neocortical progenitors at E12.5, the stage has been set to alter their fates. Ultimately, these early alterations can permanently deviate lineage programs of neocortical progenitors, resulting in the production of misspecified excitatory neurons in the postnatal neocortex of Sufu-cKO mice.

SHH signaling alters IPC production by preventing lineage progression of RGCs

IPC production is especially vulnerable to varying activity levels of SHH signaling. High SHH signaling activity inhibits IPC production at early stages of corticogenesis but promotes IPC production at later stages (Shikata et al., 2011; H. Wang et al., 2011; Yabut et al., 2015, 2016; L. Wang et al., 2016). While these studies established the mitogenic effect of SHH signaling to control neocortical progenitor proliferation, including IPCs, a growing number of studies are beginning to identify a role for SHH signaling in altering progenitor specification as a parallel means of controlling IPC production. SHH signaling partly mediates this effect via Gli3R activity, which when absent or reduced, can significantly impair specification of neocortical progenitors into distinct excitatory neuron subtypes (H. Wang et al., 2011; Yabut et al., 2015; Hasenpusch-Theil et al., 2018). Supporting these findings, we found upregulated expression of known Gli3R gene targets in the E12.5 Sufu-cKO neocortex, such as FGF15, in the progenitor-rich VZ/SVZ where Gli3 is typically highly expressed particularly in RGCs (Rash and Grove, 2007; Pollen et al., 2014; Hasenpusch-Theil et al., 2015; Kim et al., 2018). Specifically, we found an increase in SHH signaling activation (as detected through an increase in PTCH1 expression) correlating with an increase in FGF15 expression in RGCs lining the VZ. We found a uniform increase in ectopic FGF15 expression in the E12.5 Sufu-cKO neocortex. Despite this, RGCs lining the VZ exhibited variable proliferation rates (Yabut et al., 2015), indicating that FGF15 did not have a consistent effect on progenitor proliferation across the neocortical expanse. Rather, we consistently found that the increase in FGF15 levels, in the Sufu-cKO embryonic neocortex or when added in cultured forebrain slices, inhibited the specification of RGCs into bona fide pallial IPCs. Together, our findings expand evidence of the importance of modulating SHH signaling in RGCs, particularly via Gli3 activity, in ensuring lineage progression toward the specification of IPCs into distinct excitatory neuron subtypes.

SHH signaling requires FGF signaling to alter neuronal lineage progression of neocortical progenitors

Our findings revealed that SHH signaling activated FGF signaling leading to disruption of neocortical progenitor specification. Particularly, an increase in FGF15 expression was sufficient to drive these defects. Previous studies showed that FGF15 functions to control progenitor proliferation and differentiation (Borello et al., 2008; Wilson et al., 2012). Supporting a role for FGF15 in proliferation, we found that increased FGF15 expression correlated with the elongation of the E12.5 Sufu-cKO neocortex. However, as mentioned, FGF15 upregulation did not uniformly correlate with proliferation defects. Supporting this, we found variable levels of activation in MAPK signaling, the downstream intracellular FGF signaling effector. MAPK signaling activity was distinctly higher in dorsal and dorsolateral regions of the E12.5 Sufu-cKO neocortex, but not in dorsomedial regions where FGF15 was also ectopically expressed. Additionally, clonally related progenitors in the rostral neocortical regions of the E12.5 Sufu-cKO neocortex appeared to be uniquely affected. Columnar patterns in the expression levels of Pax6, Olig2, and MAPK activity levels are apparent. These observations suggest that FGF15 differentially affects molecularly distinct neocortical progenitors, which may be predicted by their spatial and temporal localization in the embryonic neocortex. These varying effects may result in changes to cell cycle length, neuronal differentiation, or their specification programs.

While it may be logical to assume that FGF15 will predictably bind to progenitors expressing its cognate receptor, FGFR4, FGFR4 has not been detected in the E12.5 neocortex (Harmer et al., 2004; Tole et al., 2006; Zhang et al., 2006; Borello et al., 2008). On the other hand, FGFR1-3 are expressed in varying levels and spatial domains across the E12.5 neocortical wall and may be sensitive to high levels of FGF15 (Tole et al., 2006; Borello et al., 2008). Alternatively, global changes in the molecular make-up of the E12.5 Sufu-cKO neurogenic niche may have facilitated unique FGF15 interactions. This may explain why Sufu-cKO mice do not completely phenocopy mouse mutants carrying conditional Gli3R mutations (H. Wang et al., 2011; Hasenpusch-Theil et al., 2018). Together, these findings underscore the complexity of FGF15 function in the developing neocortex. Future studies require further elucidation of the molecular properties of FGF15-responsive neocortical progenitors and the signaling pathways transduced to elicit changes in progenitor behavior.

In conclusion, along with the expansion and diversification of neocortical neuron subtypes in the developing brain, anomalies in the production of diverse excitatory neurons underlie a number of neuropsychiatric and neurodevelopmental disorders. The activation of FGF and MAPK signaling cascades, in response to SHH signaling activation, indicates important potential implications of uncontrolled SHH signaling in these disorders. For instance, it is evident that abnormal numbers and specification of neuronal subtypes lead to aberrant circuits in autism spectrum disorders (Kaushik and Zarbalis, 2016). High serum levels of SHH and deregulated FGF signaling activity at developmental stages has been implicated in these defects (Vaccarino et al., 2009; Rubenstein, 2011; Al-Ayadhi, 2012; Halepoto et al., 2015). Activation of SHH signaling at early stages of corticogenesis, consequently driving FGF signaling, may profoundly alter the molecular landscape of neocortical progenitors and their progenies. Thus, further investigation of how pathogenic SHH and FGF signaling converge to produce aberrant neuronal subtypes and neocortical circuitry could lay the foundation toward detecting, treating, or even reversing the neocortical abnormalities present in neurodevelopmental disorders.

Footnotes

The authors declare no competing financial interests.

This work was supported by National Institutes of Health Grants R01s MH077694 and NS118995 to S.J.P., and National Institutes of Health/National Cancer Institute K01CA201068 and American Brain Tumor Association Grant #ARC1800003 to O.R.Y. and KNRF 2019M3A9H1103702 to K.Y. We thank members of the S.J.P. laboratory for helpful discussions; Dr. Kenneth Campbell for the Gsx2 antibody; and DeLaine Larsen and Kari Harrington (University of California San Francisco Nikon Imaging Center) for assistance with imaging.

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Associated Data

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

Supplementary Materials

Figure 1-1

No visible progenitor defects in the E10.5 Sufu-cKO dorsal forebrain. Immunofluorescence staining of the E10.5 forebrain for the pallial marker, Pax6, showed exclusive expression of Pax6 in dorsal forebrain regions in both control and Sufu-cKO mice. Scale bar, 200 µm. Download Figure 1-1, TIF file (5.9MB, tif) .

Figure 3-1

Increased expression of ventral progenitor markers in the E12.5 Sufu-cKO neocortex. (A) Immunofluorescence staining for Ascl1 and Pax6 on representative coronal sections of E12.5 control and Sufu-cKO neocortex showed very low levels of Ascl1 protein expression in the E12.5 neocortex with either genotypes.(B, C) ISH using riboprobes for NR2F1 (B) and Lhx2 (C) were conducted on coronal sections of E12.5 control and Sufu-cKO neocortex showed that these pallial-specific markers were comparably expressed in both control and mutant mice. Scale bar, 200 µm. (D) Immunofluorescence staining for the subpallial-specific marker, Gsx2, on representative coronal sections of E12.5 control and Sufu-cKO neocortex. Gsx2 was detected in the anterior regions of the E12.5 Sufu-cKO neocortex and showed a columnar pattern of expression.(E) Immunofluorescence staining for the subpallial-specific marker, Olig2, on coronal sections of E11.5 control and Sufu-cKO neocortex showed irregularities in Olig2 expression in the Sufu-cKO neocortex, particularly near the pallial-subpallial boundary. Download Figure 3-1, TIF file (8.3MB, tif) .

Figure 3-2

Ectopic expression of Olig2 precedes Ascl1 expression in the E14.5 Sufu-cKO neocortex. (A) Immunofluorescence staining for Olig2 and Pax6 on representative coronal sections of E14.5 control and Sufu-cKO neocortex. Ectopic expression of Olig2 was detected across the A-P axis, with a columnar pattern of expression prevalent in anterior regions of the E14.5 Sufu-cKO neocortex. (B, C) Immunofluorescence staining for Ascl1 and Pax6 (B) or Tbr2 (C) on coronal sections of E14.5 control and Sufu-cKO neocortex. Ectopic expression of Ascl1 was detected across the A-P axis of the E14.5 Sufu-cKO neocortex. However, more Ascl1+ cells were detected in anterior regions. Download Figure 3-2, TIF file (10.8MB, tif) .

Figure 4-1

Constitutive activation of Shh signaling drives ectopic Fgf15 expression in the embryonic neocortex. ISH using FGF15-specific riboprobes on E12.5 embryos carrying the constitutively active Smoothened allele in neocortical progenitors (Emx1-Cre;SmoM2 or SmoM2-cA) showed upregulation of Fgf15 expression across the neocortical expanse. Download Figure 4-1, TIF file (2.4MB, tif) .


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