Abstract
Börjeson-Forssman-Lehmann syndrome (BFLS) is an X-linked intellectual disability and endocrine disorder caused by pathogenic variants of plant homeodomain finger gene 6 (PHF6). An understanding of the role of PHF6 in vivo in the development of the mammalian nervous system is required to advance our knowledge of how PHF6 mutations cause BFLS. Here, we show that PHF6 protein levels are greatly reduced in cells derived from a subset of patients with BFLS. We report the phenotypic, anatomical, cellular and molecular characterization of the brain in males and females in two mouse models of BFLS, namely loss of Phf6 in the germline and nervous system-specific deletion of Phf6. We show that loss of PHF6 resulted in spontaneous seizures occurring via a neural intrinsic mechanism. Histological and morphological analysis revealed a significant enlargement of the lateral ventricles in adult Phf6-deficient mice, while other brain structures and cortical lamination were normal. Phf6 deficient neural precursor cells showed a reduced capacity for self-renewal and increased differentiation into neurons. Phf6 deficient cortical neurons commenced spontaneous neuronal activity prematurely suggesting precocious neuronal maturation. We show that loss of PHF6 in the foetal cortex and isolated cortical neurons predominantly caused upregulation of genes, including Reln, Nr4a2, Slc12a5, Phip and ZIC family transcription factor genes, involved in neural development and function, providing insight into the molecular effects of loss of PHF6 in the developing brain.
Author summary
The Börjeson-Forssman-Lehmann Syndrome (BFLS) is an intellectual disability and endocrine disorder. Mutations in the plant homeodomain finger 6 gene (PHF6) cause the disorder. We show here that a subset of BFLS patients lack PHF6 and report the effects of loss of PHF6 in an animal model with complete loss of PHF6 from conception. The cerebral cortex is the site of higher brain functions, including cognition and decision-making. We report here the effects of lack of PHF6 on the developing brain, cerebral cortex and neuronal cells isolated from this structure. Since PHF6 associates with the genetic material in the cell nucleus and has been proposed to regulate gene activity, we also report the effects of lack of PHF6 on gene expression in the cerebral cortex and purified neuronal cells. We observed that loss of PHF6 results in the dysregulation of neuronal development and differentiation genes, including genes involved in disorders such as Parkinson’s disease, epilepsy, neuroblastoma, attention deficit disorder, autism and schizophrenia. Lastly, we report that mice lacking PHF6 mirror BFLS patients in that they also suffer from spontaneous epileptic seizures. Our mouse models and findings will be useful to further investigate BFLS neuronal function and other aspects of the disorder in the adult.
Introduction
Börjeson–Forssman–Lehmann syndrome (OMIM: 301900) is a rare X-linked intellectual disability syndrome, first described in 1962 [1] and caused by inherited or de novo mutations in the X-linked PHF6 gene [2]. Males hemizygous for PHF6 mutations are invariably affected, while females heterozygous for PHF6 mutations range from unaffected carriers to a full presentation of the syndrome [3,4]. Individuals with BFLS generally present with mild to severe intellectual disability and a number of defining physical characteristics including short stature, small genitalia, hypogonadism, gynecomastia, large earlobes, deep-set eyes, long tapered fingers and foreshortened toes [5,6]. Seizures occur in 8 to 29% of individuals with confirmed PHF6 mutations [7–9]. Mutations in PHF6 that cause BFLS include nonsense and frameshift mutations, multi-exon and whole gene deletions and occur along the length of the protein, implicating a loss or reduced function mechanism [9,10]. Somatic PHF6 mutations also occur in blood cancers, most frequently in T-cell acute lymphoblastic leukaemia [11]. PHF6 plays a role in haematopoietic stem and progenitor cell homeostasis [12,13] and in the negative regulation of interferon signalling [12]. PHF6 is a haematological tumour suppressor [12]. Indeed, two of the approximately 50 described males with BFLS have developed a haematological malignancy to date [14,15]. Mice lacking PHF6 from conception develop to birth on a C57BL/6 inbred genetic background [12]. On an outbred background they reach adulthood but display defects in growth hormone signalling and a reduction in body size [16], mirroring the short stature observed in BFLS individuals.
The PHF6 protein contains four nuclear localization sequences and two atypical plant homeodomain (PHD) zinc-fingers, similar to the imperfect PHD of the mixed lineage leukaemia protein [2]. The mouse and human PHF6 proteins are 97.5% identical [17]. Canonical PHD zinc-fingers regulate transcription through binding of modified or unmodified histone tails [18–20]. PHF6 has been reported to associate with double-stranded DNA [21] and histone variants including H3 in B-cell leukaemia cells [22] and H3.1, H2B.1, H2A.Z, and H1.2 in HEK293T cells [23]. PHF6 has been proposed to bind H2B acetylated on lysine 12 and to act as an E3 ubiquitin ligase for the ubiquitination of H2B on lysine 120 during embryonic stem cell differentiation [24]. PHF6 has been reported to interact with the nucleosome remodelling complexes, including NuRD, ISWI and SWI/SNF in Jurkat and HEK293T cells [23,25], as well as the PAF1 transcriptional elongation complex in primary rat cortical neurons [26]. Localization of PHF6 to the nucleolus has also been reported [2], and PHF6 has been shown to interact with UBF [27], ribosomal proteins, splicing factors [23] and has been proposed to negatively regulate rRNA transcription in HeLa and HEK293T cells [23,27]. Thus, PHF6 functions in the nucleus and nucleolus and mediates interactions with chromatin.
Few neuroanatomical studies have been reported for BFLS. Some common findings include dilated ventricles, which were identified in three of five male patients in one study (assessed by CT scan) [28] and in two of three females with heterozygous PHF6 mutations as assessed by MRI [4,7]. Abnormalities of the cerebral cortex have also been reported, including in the original BFLS family where a paucity of certain cell types, pyknotic nuclei and gliosis was observed in the cortex in one patient upon autopsy [1]. Areas of undetectable lamination, especially in the superficial granular layer were noted in another post-mortem male patient brain, in addition to heterotopic neurons in the cerebral cortex, subcortical white matter and surrounding the ventricular system, and heterotopic grey matter found among the white matter [29]. In one female with BFLS, increased signalling of the white matter was noted on an MRI [7], while grey matter heterotopias were identified in two other females with BFLS [30]. In summary, abnormalities of the lateral ventricles and cerebral cortex have been described in a subset of cases, however, given the scarcity of reported patient studies, the neuropathological features of BFLS are not well defined.
Phf6 mRNA and protein are present in all cells in mice [17]. They are more abundant during embryonic and foetal development and then decline in the postnatal period. Phf6 mRNA is present at low levels in adult tissues [17]. PHF6 protein is detectable in adult tissues using a high-affinity antibody [12]. Complete loss of PHF6 in mice on a C57BL/6 inbred background results in perinatal lethality [12,31], but heterozygous females survive [12]. A mouse model of BFLS using a patient-specific hypomorphic mutation (replacement of cysteine 99 of the protein with phenylalanine, Phf6C99F) recapitulated a number of features of BFLS including a smaller body size and cognitive impairment [31]. In response to the GABA antagonist pentylenetetrazol, Phf6C99F mice displayed a reduced latency to seizure induction, and after stimulation with glutamate agonist, kainic acid, increased seizure severity [31]. However, spontaneous seizures were not reported. Another mouse model of BFLS using a patient-specific hypomorphic mutation (Phf6R342X) showed reduced brain volume and hydrocephaly [32]. A previous study using shRNA to knockdown Phf6 in utero in the developing cortex suggested that reducing PHF6 expression slowed neuronal migration [26], indicating that PHF6 may control cortical layering. In contrast, nervous-system specific deletion of Phf6 prior to cortex development increased the depth of layer I, but did not affect the order of the layers [33], and a patient-specific mutation in PHF6 (Phf6R342X) caused no cortical lamination defects [32]. Whether germline Phf6 null mutation causes a cortical layering defect has not yet been tested. PHF6 has been shown to affect the transcription of a number of genes in the postnatal cerebral cortex, including promoting expression of cell differentiation genes and repressing potassium transport and synaptic genes [31], as well as promoting the expression of ephrin receptor genes [33]. Similarly, a number of genes were differentially expressed upon shRNA knockdown of Phf6 in E16.5 rat cortical neurons [26]; however, the effect of complete germline deletion of Phf6 on gene expression in the foetal cerebral cortex has not been established. To progress our understanding of how PHF6 mutations cause BFLS, we studied the impact of germline deletion and nervous system-specific deletion of Phf6 in both male and female mice.
Results
Effect of PHF6 mutations in BFLS on PHF6 protein levels
To examine the effect of human PHF6 mutations on PHF6 protein levels, we isolated protein from cell lines established from peripheral blood lymphoblasts of patients with BFLS [2,34,35] and controls (Fig 1A and S1 Table). Certain PHF6 mutations showed dramatically reduced protein level (p.C45Y, p.C99F), while the recurrent p.R342* mutation [2,36] produced a low amount of truncated PHF6 protein. Other mutations (p.D333del, p.E337del) showed PHF6 protein levels similar or even elevated compared to controls. These results demonstrate that at least a subset of human PHF6 mutations in BFLS cause reduced PHF6 protein.
Effects of the Phf6 exons 4 and 5 deletion on PHF6 protein levels in mice
Our western blot data from individuals with BFLS suggested that an animal model with a Phf6 allele resulting in loss of PHF6 protein would be suitable to model aspects of the disorder. We flanked exons 4 and 5 of the mouse Phf6 gene with loxP sites, which after recombination results in complete loss of PHF6 protein [12]. PHF6 exon 4 and 5 deletion has been reported for one BFLS individual [9].
Deletion of Phf6 exons 4 and 5 resulted in the absence of RNA sequencing reads mapping to these exons in embryonic day 15.5 (E15.5) mouse cerebral cortex and in cortical neurons isolated from E16.5 mouse foetuses (Fig 1B and 1C) and the absence of PHF6 protein in E15.5 mouse brain (Fig 1D).
Loss of PHF6 causes spontaneous seizures through a nervous system intrinsic mechanism
As previously reported [12], males with Phf6 germline deletion died perinatally on a C57BL/6 background; however, females with heterozygous Phf6 mutation were present at the expected ratio at weaning (S2 Table). We monitored a group of females heterozygous for the Phf6 mutation and found that seizures occurred in Phf6+/– mice from 172 days of age onwards with a median latency of 622 days (p < 0.0001, Fig 2A). The observed seizures were generalised tonic-clonic seizures with falling, stage 5 according to Racine [37]. To test whether seizures occurred via a neural-intrinsic mechanism, we employed the Nestin-cre transgene [38] to delete Phf6 in the neural tube, which is active from E11.5 [39]. In females with neural-specific deletion of one copy of Phf6 (Phf6+/lox; Nes-creTg/+), we observed a median latency of seizure onset of 600 days (p = 0.03, Fig 2B). Similarly, males with hemizygous Phf6 deletion in the nervous system (Phf6lox/Y;Nes-creTg/+) developed seizures with a median latency of 600 days (p = 0.002, Fig 2C). Deletion of both copies of Phf6 in the nervous system in a small number of female mice (Phf6lox/lox;Nes-creTg/+) also resulted in seizures (S1 Fig).
Loss of PHF6 does not affect the number of GAD67+ interneurons in the cerebral cortex
Interneurons mediate synaptic inhibition and interneuron reduction has been associated with seizures in mouse models such as the Dlx1 knockout mice [40]. Therefore we assessed the number of GABA+ interneurons using the marker GAD67 (glutamate decarboxylase, 67 kDa form) [41]. We found no effect of loss of PHF6 on the number of GAD67+ inhibitory neurons in adult mice (95.98 ± 6.8 cells in Phf6+/Y;Nes-creTg/+ controls vs. 103.96 ± 8.8 cells in Phf6lox/Y;Nes-creTg/+ brains per mm2 of cortex section; S2 Fig).
Effect of loss of PHF6 on brain anatomy and structure
To explore whether there were structural changes in the brains of mice that developed seizures, we prepared serial coronal cresyl-violet sections from three Phf6lox/Y;Nes-creTg/+ brains 17 to 37 days after seizure onset and three age-matched controls and performed a section-by-section comparison (Fig 3A and S3 Fig). Phf6 is highly expressed in cerebellar Purkinje cells [17] and we therefore examined the Purkinje cells in the cerebellum of the Phf6lox/Y;Nes-creTg/+ cresyl-violet-stained brains. We did not identify a difference in morphology or number of Purkinje cells in Phf6lox/Y;Nes-creTg/+ vs. controls (30.2 ± 0.6 cells vs. 32.6 ± 1.3 cells per mm of Purkinje cell layer respectively, S4 Fig). Consistent with an overall reduced body size in Phf6lox/Y;Nes-creTg/+ mice [16], Phf6lox/Y;Nes-creTg/+ mice had a reduced brain volume within each pair (Fig 3B). In contrast, Phf6lox/Y;Nes-creTg/+ mice had a larger lateral ventricle volume compared to controls (3.71 ± 0.17 mm3 vs. 2.15 ± 0.51 mm3, p = 0.04, Fig 3C). We quantified the volume of the cerebral cortex in the region surrounding the lateral ventricles and found that it was reduced in Phf6lox/Y;Nes-creTg/+ brains (Fig 3D). Dividing the cerebral cortex volume by the total brain volume in the region surrounding the lateral ventricles showed that the cerebral cortex volume was disproportionally reduced relative to the total brain volume in Phf6lox/Y;Nes-creTg/+ animals compared to controls (ratios are 0.308 ± 0.004 vs. 0.314 ± 0.003 for Phf6-deleted and controls, respectively; S5A Fig). The volume of the remaining areas of the Phf6lox/Y;Nes-creTg/+ brains (i.e., brain volume minus cerebral cortex volume and lateral ventricle volume) relative to the total brain volume was also reduced compared to controls (ratios are 0.660 ± 0.003 vs. 0.671 ± 0.004 for Phf6-deleted and controls, respectively; S5B Fig). No other major abnormalities were observed. Lamination of the cerebral cortex (Fig 3E) and the relative depth of the cortical layers (S5C Fig) did not appear to be affected by loss of PHF6. To determine if the enlarged lateral ventricles preceded the onset of seizures or could potentially be a consequence of the seizures, we examined cresyl violet-stained serial sections of brains at 13 to 14 weeks of age, which was more than 10 weeks before the earliest spontaneous seizures were observed. At this stage preceding the onset of seizures, Phf6lox/Y;Nes-creTg/+ already had enlarged ventricles compared to controls (p = 0.02 to 0.001; S6 Fig).
In summary, these data indicate that loss of PHF6 caused reduced brain size and an increase in ventricle volume.
Incidence of hydrocephalus with enlargement of the skull is increased in mice with germline heterozygous Phf6 mutation, but not nervous system specific deletion
An enlargement of lateral ventricles can be associated with hydrocephalus and enlargement of the skull, a condition that can occur spontaneously in between 1 to 3% mice on the C57BL/6 inbred background [42]. We observed an increased incidence of hydrocephalus with enlargement of the skull in Phf6+/– mice, with 11.5% of 205 monitored mice developing symptoms between 23 and 190 days, with the majority of cases occurring before 33 days. In contrast, no cases were observed in 268 Phf6+/+ control mice (p < 0.0001, S7A Fig). On the other hand, in males and females with neural-specific mutation of Phf6, we did not observe an increased incidence of hydrocephalus (S7B and S7C Fig). Since an enlargement of the lateral ventricles, but not increased hydrocephalus, was identified after nervous system specific Phf6 deletion, this indicates that enlargement of the lateral ventricles associated with Phf6 mutation may predispose to but does not necessarily result in hydrocephalus with enlargement of the skull.
Loss of PHF6 does not affect cortical layering
Since the cerebral cortex, an important site of mammalian cognitive function, is often affected in intellectual disability, we focused our attention on defining the role of PHF6 in the cerebral cortex. The overall cell architecture of the cerebral cortex of Phf6lox/Y;Nes-creTg/+ brains stained with cresyl violet did not indicate any overt defects (Fig 3E and S5C Fig). However, given previous reports that knockdown of Phf6 using shRNA during cortex development delayed neuron migration [26], we assessed the possibility of a cortical layering defect. Using SATB2, CTIP2, and TBR1 as markers of cortical layers II-IV, V and VI respectively [43, 44], we stained sections of the E18.5 parietal cortex and enumerated stained cells in 10 pial-ventricular bins. No changes in the distribution or frequency of SATB2, CTIP2, or TBR1 stained cells were observed in E18.5 males with hemizygous germline Phf6 mutation (Fig 4) or in females with heterozygous germline Phf6 mutation (S8 Fig). Similarly, in the adult brain the distribution of cortical layer markers, reelin, CUX1, CTIP2 and FOXP2 were similar in Phf6lox/Y;Nes-creTg/+ compared to control brains (S9 Fig). The foetal and adult cortical layer examination indicated that the germline or nervous system-specific deletion of Phf6 does not cause a cortical layering defect.
No change in neurite number or length after culture for 5 days
To assess whether PHF6 may have an impact on neurite outgrowth and branching, we isolated cortical neurons from E16.5 foetuses and cultured these for 5 days. We found no difference in the number or length of primary, secondary or tertiary neurites (S10 Fig), indicating that loss of PHF6 does not impair the ability of cortical neurons to form neurites in vitro.
Loss of PHf6 causes a reduction in neural stem cell self-renewal and an increase in neuronal differentiation at the expense of astrocyte differentiation
To assess the effects of Phf6 deletion on neural precursor cell proliferation, we isolated E12.5 forebrain Phf6lox/Y;Nes-creTg/+ and Phf6+/Y;Nes-creTg/+ neural stem cells and cultured them as floating colonies (neurospheres) of neural stem and progenitor cells (NSPCs; Fig 5A). Under proliferating conditions with FGF2 and EGF, Phf6lox/Y;Nes-creTg/+ NSPCs proliferated normally in culture over 15 passages (S11 Fig). However, Phf6lox/Y;Nes-creTg/+ NSPCs plated in serial dilution cultures gave rise to fewer secondary colonies, indicating a reduced capacity to generated colony-forming neural stem cells (Fig 5B). Under differentiating conditions, Phf6lox/Y;Nes-creTg/+ and Phf6+/Y;Nes-creTg/+ NSPCs formed neurons and astrocytes (Fig 5C). However, Phf6lox/Y;Nes-creTg/+ NSPCs formed more neurons (ßIII-tubulin+) and fewer astrocytes (GFAP+, S100ß+) than control cells, assessed as percentage of live cells by flow cytometry (p = 0.02 to 0.002; Fig 5D and S12 Fig), while the percentage of oligodendrocytes (O4+) was similar between genotypes.
PHF6 regulates gene expression in foetal cortical neurons
PHF6 is a chromatin-associated protein, expected to be involved in transcriptional regulation. Therefore, we examined the effects of PHF6 loss on gene expression in the developing cerebral cortex and in isolated cortical neurons by RNA-sequencing. Total RNA was isolated from Phf6–/Y and control Phf6+/Y E15.5 cerebral cortices, as well as from Phf6lox/Y;Nes-creTg/+ and Phf6+/Y;Nes-creTg/+ control E16.5 cortical neurons cultured for 24 h to enrich for neuronal cell types. Barcoded libraries were generated and sequenced (S13A and S13B Fig). Using an FDR cut-off of 0.05, we identified 9 downregulated and 51 upregulated genes in the Phf6–/Y vs. Phf6+/Y E15.5 cerebral cortex (Fig 6A and S13C Fig and Tab A in S3 Table) and 10 downregulated and 30 upregulated genes in the Phf6lox/Y;Nes-creTg/+ vs. Phf6+/Y;Nes-creTg/+ E16.5 cultured cortical neurons (Fig 6B and S13D Fig and Tab A in S4 Table). There was a positive correlation in the PHF6-regulated genes between the E15.5 and E16.5 datasets (p = 0.0004; Fig 6C). Five genes, Peg10, Phip, Zdbf2, Nefl and Pgap1, were individually significantly affected in both E15.5 cortex and E16.5 cortical neurons, all five upregulated (Tab A in S3 and S4 Tables). Nine of the top 10 genes differentially expressed in each of the two tissue/cell types were upregulated in the absence of PHF6 (Fig 6D and Tab A in S3 and S4 Tables). Among these genes were Peg10, Phip and Zdbf2. Reelin was the top differentially expressed gene, and Nr4a2 was also among the top 10 genes differentially expressed genes in the Phf6lox/Y;Nes-creTg/+ vs. Phf6+/Y;Nes-creTg/+ E16.5 cortical neurons. Interestingly, two members of the ZIC family transcription factor genes, Zic3 and Zic4, were among the top 10 genes upregulated in Phf6–/Y vs. Phf6+/Y E15.5 cortex, and a third member, Zic1, was on position 19 (Fig 6D and S13E Fig). One gene associated with enlarged lateral ventricles, Usp18, was upregulated in E16.5 cortical neurons lacking PHF6 (S13F Fig). We examined four genes (Nefl, Peg10, Phip, Zdbf2) upregulated in E15.5 cortex and E16.5 cortical neurons in the absence of PHF6 in an independent set of samples by RT-qPCR. We found that the increase in mRNA levels by RNA sequencing was replicated in independent Phf6lox/Y;Nes-creTg/+ vs. Phf6+/Y;Nes-creTg/+ E15.5 cortices (S14A Fig). The differences in mRNA levels were too subtle to be visible by whole-mount in-situ-hybridisation (S14B Fig). We compared our RNA sequencing datasets with genes reported to be differentially expressed in the Phf6-deleted postnatal day 0 (PN0) cortex by Cheng and colleagues [31] and found significant positive correlations for both our datasets (Fig 6E and 6F). Genes tended to be differentially expressed in the same direction, however, a subset of genes upregulated in E15.5 cortex were reported to be downregulated in the PN0 cortex by Cheng and colleagues [31], including Zic1, Zic3, Zic4 and Ecel1.
To explore cellular and molecular processes affected by loss of PHF6, we performed KEGG and Gene Ontology (GO) analyses to test for terms and pathways enriched among PHF6-regulated genes (Tabs B and C in S3 and S4 Tables). The top 10 significant GO categories enriched for differentially expressed genes in the Phf6-deleted E15.5 cortex were enriched among upregulated genes and included the GO terms ‘nervous system development’ and ‘central nervous system development’ (Fig 6G). The top 10 significant GO pathways in the E16.5 Phf6-deleted cultured cortical neurons were similarly enriched among upregulated genes and included the GO terms ‘neuron migration’ and ‘regulation of neurotransmitter receptor activity’ (Fig 6H). These data indicate transcriptional regulation of pathways involving neuronal development and function are affected in the Phf6 deleted foetal cerebral cortex.
To explore which specific differentially expressed genes were involved in neuronal development or function, we used the Mouse Genome Informatics (MGI) database and additional literature searches to search for neural related phenotypes in mouse models and human disorders involving the nervous system associated with our differentially expressed genes. We identified 25 genes (24 up, 1 down) differentially expressed in the E15.5 cerebral cortex (Tab D in S3 Table) and 18 differentially expressed genes (15 up, 3 down) in the E16.5 cortical neurons (Tab D in S4 Table) that were associated with neural-related phenotypes in mouse models or human disorders, including Reln, Nr4a2, Phip, Nefl, Zic1, Zic3, Zic4 and Slc12a5. This indicates that PHF6 plays an important role in regulating the mRNA levels of genes important for neural development or function in the foetal cerebral cortex.
Loss of PHF6 results in precocious calcium signalling in foetal cortical neurons
After observing an increase in neuronal differentiation of Phf6lox/Y;Nes-creTg/+ vs. Phf6+/Y;Nes-creTg/+ NSPCs, we asked if there could potentially be a functional difference between the two genotypes. We examined spontaneous calcium fluctuations reflecting neuronal activity using calcium imaging and automated analysis of calcium peaks. Cortical neurons were isolated from E16.5 foetuses and cultured for 5 or 7 days in a culture system that preferentially supported the survival of just neurons. Both Phf6lox/Y;Nes-creTg/+ and Phf6+/Y;Nes-creTg/+ cultures contained a high percentage of excitatory neurons (VGLUT1+; Fig 7A and 7B) and no parvalbumin+ inhibitory neurons. A subset of cells in all cultures displayed calcium signalling peaks (Fig 7C and 7D). Interestingly, despite a moderately reduced percentage of VGLUT1+ cells in Phf6lox/Y;Nes-creTg/+ vs. Phf6+/Y;Nes-creTg/+ cultures (88% vs. 96%, respectively; p = 0.03; Fig 7B), Phf6lox/Y;Nes-creTg/+ contained a larger percentage of neurons displaying minor and major calcium peaks (74% vs. 45% and 44% vs. 19%, respectively; p < 10−6 for both; Fig 7E and 7F) after 5 days in culture. After 7 days in culture, the percentages of neurons displaying calcium signalling was similar between the genotypes, suggesting that deletion of Phf6 is associated with premature calcium signalling in excitatory neurons. The number of peaks per neuron and the maximum peak height (amplitude) were also increased 1.2-fold in Phf6lox/Y;Nes-creTg/+ vs. Phf6+/Y;Nes-creTg/+ neurons (p = 0.00002 and 0.02, respectively; Fig 7G and 7H). While the height of minor peaks was modestly increased in Phf6lox/Y;Nes-creTg/+ vs. Phf6+/Y;Nes-creTg/+ neurons by 8% (p < 10−6; Fig 7I), the height of major peaks was modestly decreased in Phf6lox/Y;Nes-creTg/+ vs. Phf6+/Y;Nes-creTg/+ neurons by 9% (p < 10−6; Fig 7J). Lastly, the number of minor peaks per neuron was increased in Phf6lox/Y;Nes-creTg/+ vs. Phf6+/Y;Nes-creTg/+ cortical neuron cultures per foetus, while the number of major peaks per foetus was not different between genotypes (S15 Fig).
Overall, our calcium imaging data suggest that Phf6lox/Y;Nes-creTg/+ cortical neurons precociously commence calcium signalling with a higher percentage of cells signalling earlier, more peaks per neuron, in particular more lower amplitude peaks per neuron.
Discussion
In this paper, we report the characterization of neural-associated phenotypes in an animal model of male and female BFLS. We show that spontaneous seizures occur in mice with either germline or nervous system-specific deletion of Phf6, demonstrating that seizures occur via a neural intrinsic mechanism. In addition, we show that cortical neurons lacking PHF6 spontaneously undergo premature calcium signalling. Previously, Cheng and colleagues showed that stellate neurons in fresh brain slices isolated from mice with the Phf6C99F hypomorphic mutation displayed hyper-excitability in response to automatic current injection [31]. Thus, hyper-excitability may underpin the neural intrinsic seizure susceptibility resulting from Phf6 mutations. Among 20 individuals with BFLS, four presented with seizures, including a female with exon 4 and 5 deletion [9] (the same exons deleted in our mice), two males, both with p.E338del, and one female with p.G248V.
Sites of mildly abnormal lamination and heterotopic neurons have been reported in one male BFLS patient [29], while two female BFLS patients displayed possible subcortical band heterotopia [30]. It is unclear if such cortical abnormalities are common in individuals affected by BFLS, due to the paucity of imaging studies. Our histological and immunofluorescence marker analysis revealed an enlargement of the lateral ventricles in mice lacking PHF6 but indicated that cortical lamination is largely unaffected, in agreement with two other studies of mouse models of BFLS [32,33]. In contrast, a previous report using an shRNA to induce Phf6 knock down in mice in utero resulted in a cortical neuron migration defect and development of white matter heterotopias. Similarly, a miRNA (miR-128) that targets Phf6 results in delayed neuron migration [45]. Similar discrepancies between knock-out and shRNA-mediated knock-down cortical layering phenotypes have previously been observed for genes including Dcx [46–48] Crpm2 [49] and Foxp2 [50,51]. There are several possible explanations for a more severe phenotype being present after shRNA knockdown vs. genetic deletion. One possibility is there might be subtle cortical layering anomalies that were not evident in our experiments but could possibly be detected by thymidine analogue birth dating experiments. Another possibility is that there might be off-target effects of the shRNA, either through artefacts caused by unintended targeting of other genes or through disruption of the endogenous miRNA network [48], which has been shown to explain the severe migration defect caused by shRNA knockdown of Dcx [47] that is not present in the complete knockout [46]. An alternative explanation for the discrepancy observed here is that there may be genetic compensation. Recently, it has been demonstrated that nonsense mediated decay (NMD) can trigger the transcriptional activation of genes similar to the mutant mRNA [52–54]. This compensatory mechanism resulted in less severe phenotypes in mutants with NMD but does not occur with mutations that do not cause NMD, nor after genetic knockdown using morpholino constructs [52–54]. Thus, it is possible that such a compensatory mechanism triggered by NMD in our Phf6 mouse model could explain the less severe phenotype compared with Phf6 knockdown. Notwithstanding, a number of BFLS mutations are truncating [6] and would similarly be expected to result in NMD, rendering our mouse model clinically relevant for at least a subset of patients. Supporting this we have shown reduced PHF6 protein levels in cells derived from individuals with BFLS, including in those with protein truncating mutations.
Two female BFLS patients reported to have aspects resembling subcortical band heterotopia had duplications of exon 4 and 5 [30], which is predicted to result in a frameshift mutation [4]. In three female BFLS individuals, a whole gene deletion was associated with ventricular dilation and increased periventricular white matter, p.C99* with hypoplasia of the corpus callosum and cavum septum pellucidum and p.G248V with cortical dysplasia involving blurring of grey-white matter junction in the right frontal lobe; two males (p.E338del; p.H229R) had reduced or delayed myelination [9]. MRI examination of two female BFLS individuals, one with a whole gene deletion and the other with an exon 9 and 10 deletion, revealed wide ventricles [4,7]. A male BFLS individual with reported areas of indistinct lamination [29] was from the first described BFLS family and therefore would have harboured a p.R342* truncating mutation at the C-terminus of the protein [36]. We have shown here that this mutation results in very low levels of truncated PHF6 protein. The abnormalities described by Brun and colleagues [29] were noted by Kasper and co-workers to be milder than in the two female BFLS patients that they described, mentioned above [30]. Kasper and colleagues did not observe abnormalities in MRI datasets from two other female BFLS patients; one with mutation p.G226fs*53 [4,55] and the other with a 100 kb deletion covering the last 5 coding exons of PHF6 [56]. Similarly, no structural brain anomalies in four of nine BFLS individuals with mutations p.L244F, p.R319*, p.E338del and p.R342* examined by MRI [9]. It was previously noted that there did not appear to be a clear genotype-phenotype correlation in BFLS [6]. Studies in further BFLS patients or additional animal models with patient specific mutations will be required to clarify how widespread cortical abnormalities and heterotopias are after PHF6 mutation and may enable conclusions to be drawn about a possible genotype/phenotype correlation.
We observed that Phf6 deleted neural stem cells were less capable of self-renewal. In contrast, Phf6 deleted neural stem cells have been reported to undergo increased self-renewal [33]. This discrepancy could relate to differences in the type on NSPCs examined in the two studies. Here, we examined embryonic E12.5 dorsal telencephalon neural stem cells, whereas Rasool and colleagues used tamoxifen induced Cre-ERT2 deletion of Phf6 at E14.5 and isolated neural stem cells from the E15.5 to E16.5 foetal dorsal and ventral forebrain and midbrain. The two sources of cells are different with respect to developmental stage and anatomical location. Different embryonic and foetal stages [57] and brain locations [58] give rise to distinct populations of neuronal stem cells. E12.5 forebrain neural precursors, although not a major source of adult neural stem cells, contribute to neuronal populations of the cortex, hippocampus, septum, striatum and olfactory bulbs, whereas subsets of E15.5 forebrain neural stem cells are unipotent, giving rise to glia or neurons, while other subsets give rise to neurons and glia [57]. Neural stem cells retain expression of the developmental patterning genes of their anatomical location into adulthood, even while able to give rise to diverse progeny in distant locations [59]. Lastly, in some studies, neural stem cells were restricted to cell fates from their location of origin, whereas in other studies greater plasticity was observed [59,60]. Overall, these studies indicate that the source and developmental stage of the neural stem cells could account for the differences observed between the results in this study and Rasool and colleagues’ work [33]. Alternatively, differences in experimental conditions may have caused the discrepancies in results.
Our observation of a reduced self-renewal capacity was accompanied by an increase in neuronal differentiation and paralleled by precocious spontaneous calcium signalling in isolated E16.5 cortical neurons, suggesting premature maturation of neurons, which might explain the spontaneous epileptic seizures that we observed in Phf6 deleted mice, which mirrored spontaneous seizures occurring in patients, that were not reported in other Phf6 mouse models. In addition, reduced neural progenitor self-renewal and premature neuronal differentiation could deplete the progenitor pool and thereby contribute together with other factors to the reduction in cerebral cortex size observed in adult mice.
Our RNA-sequencing analysis of E15.5 cortex and E16.5 cortical neurons has identified a number of genes differentially expressed upon PHF6 loss. While it remains to be established whether the differentially expressed genes are direct PHF6 targets, the greater number of upregulated genes compared to downregulated genes in both E15.5 and E16.5 Phf6-deleted samples leads us to speculate that PHF6 functions as a transcriptional repressor. A role for PHF6 in transcriptional repression is consistent with the association of PHF6 with the nucleosome remodelling and deacetylase complex (NuRD), which generally acts as a transcriptional repressor [61]. However, the CHD4 chromatin remodelling subunit of NuRD is also involved in gene activation [62], and PHF6 has also been associated with the polymerase associated factor 1 (PAF1) transcriptional elongation complex in cortical neurons [26], which suggests that PHF6 may also play a role in the positive regulation of gene expression in neurons. Accordingly, PHF6 was observed to be required for the expression of ephrin receptor genes in neural stem cells [33]. Additional studies are needed to elucidate the molecular effects of PHF6 loss on gene transcription. PHF6 has been shown to have context-specific roles in tumour suppression [12,63] and thus it is likely PHF6 may also play stage and context-specific roles in brain development.
The individually significant upregulation of five genes due to loss of PHF6 overlapped between the E15.5 cortex and the E16.5 cortical neurons, including Nefl and Phip. Increased expression of the neurofilament gene, Nefl, in mice leads to neurofilament accumulation, axonal swelling and degeneration [64]. Phip (pleckstrin homology domain protein 1) mRNA was moderately upregulated in both the E15.5 cerebral cortex and E16.5 cortical neurons (as well as the PN0 cortex). Its protein product has been shown to interact with PHF6 by co-immunoprecipitation [65]. The PHIP protein contains a tudor domain and binds mono- or tri-methylated histone 3 lysine 4 [65]. It is possible that loss of PHF6 may trigger a feedback mechanism that increases expression of Phip. While loss of function PHIP mutations have been identified in human intellectual disability [66,67] and murine Phip loss of function mutations cause postnatal growth retardation [68], the effects of upregulation of Phip remain to be investigated.
Among the top 10 genes regulated by PHF6 in each tissue/cell type, were genes known to be involved in brain development and function. Apart from Phip, already discussed above, these included Slc12a5 and ZIC family transcription factor genes in E15.5 cortex, as well as reelin and Nr4a2 in E16.5 cortical neurons. It is important to note, that these genes were upregulated in the absence of PHF6, whereas their well-known brain development phenotypes are often associated with a partial or complete loss of function, and the effects of gain of function have not been reported in all cases. Notably, the increases in mRNA level observed here in the Phf6 mutant tissue and cells are subtle compared to overexpression levels commonly achieved in transgenic mice, and therefore, one would not expect in the Phf6 deleted brains some of the drastic effects observed in transgenic overexpressing mice. In the Phf6 null E15.5 cortex, upregulation of three members of the ZIC family of transcription factor genes stood out. Complete loss of Zic1 [69] or Zic3 [70] causes cerebellum defects. Zic1 and Zic3 double deleted mice also display forebrain defects [71]. Loss of Zic4 causes cerebellar hypoplasia [72] and combined haploinsufficiency of the linked ZIC1 and ZIC4 genes causes Dandy-Walker cerebellar malformation in humans and cerebellar defects in mice [73]. Gain of function of ZIC1 is associated with craniosynostosis and learning disability [74]. The effects of overexpression of the other two ZIC genes during development remain to be investigated. SLC12A5A/KCC2 is required for synaptic inhibition [75] and loss of SLC12A5 is associated with epilepsy in a humans [76] and in mice [77]. The effects of overexpression of Slc112a5 during brain development remain to be examined. Reelin mRNA was increased in Phf6 deleted cortical neurons. Interestingly, while loss of reelin is associated with lissencephaly in humans [78] and neuron migration and cortical cerebellar layering defects in mice [79], overexpression of reelin also causes cortical neuron migration and cortical layering defects [80]. Mice lacking the orphan nuclear receptor NR4A2/NURR1 fail to develop midbrain dopaminergic neurons [81], while the effects of gain of NR4A2 during brain development have not been reported. While the overexpression studies of most of the genes upregulated due to loss of PHF6 has not been reported, gain of function commonly affects the same organ system as loss of function and therefore, disturbance of brain development due to upregulation of these genes in the absence of PHF6 is likely. The combined effect of upregulation of a number of these genes may contribute to the intellectual disability in individuals affected by BFLS. The datasets reported in this paper combined with the gene expression of the postnatal cerebral cortex reported by Cheng and colleagues [31], as well as Ahmed and colleagues [32] form a developmental time-course of genes transcriptionally affected by Phf6 deletion, providing a resource for further investigation into the role of PHF6 in cerebral cortex development.
In conclusion, we report the first observations of spontaneous seizures, increased neuronal differentiation and increased spontaneous neuronal activity in an animal model of BFLS. Furthermore, we report a number of disrupted pathways and differentially expressed genes involved in neural function and/or development in the absence of PHF6. Our data identify cell biological and molecular defects in mice lacking PHF6 that may also be affected in BFLS patients.
Methods
Ethics statement
All work on human subjects was approved by the Women’s and Children’s Health Network Human Research Ethics Committee and informed consent was obtained from all participants.
All animal experiments were performed according to the Australian code of practice for the care and use of animals for scientific purposes with the approval of the Walter and Eliza Hall Institute Animal Ethics Committee.
Human samples
Epstein-Barr virus (EBV) immortalized B-cell lines (LCL) were established from peripheral blood lymphocytes of patients as previously described [82]. Once established, LCL were cultured in RPMI 1640 (Invitrogen, Australia) supplemented with 10% FCS, 2 mM L-glutamine, 0.017 mg/mL benzylpenicillin and grown at 37°C with 5% CO2.
Animals
The Phf6 targeted allele is as previously described with loxP sites flanking exons 4 and 5 of the Phf6 gene, which results in undetectable levels of PHF6 in tissues, which have undergone cre-mediated recombination [12]. Cre-deleter mice [83] were used for germline deletion of Phf6. Nestin-cre transgenic mice [38] were used for nervous system specific deletion, which mediates recombination in the neural tube from E11.5 [39]. Genotyping primers for Phf6 and Cre have been reported previously [12]. All mice in this study were on the C57BL/6 background. The incidence and details of seizures, hydrocephalus and other anomalies were monitored and recorded. The analyses of hydrocephalus incidence included all animals of the relevant genotypes in each colony while the seizure incidence included all animals kept over 100 days.
The mice were observed daily at specific times of the day. Mice displayed unprovoked, spontaneous seizures (no light, no sound, no other form of interference), but also seizures in response to being disturbed, for example by the cage cleaning process. In general, mice with a tendency to suffer spontaneous seizures will display seizures specifically when disturbed, e.g., during cage cleaning. Since the cage cleaning took place 2x/week, we have determined the onset of seizures within ~3.5 days accuracy. Since the latency is quite long (median latency of ~600 days), this corresponds to an accuracy of approximately ± 0.6%. The seizures lasted between 2 and 10 minutes and recurred with varying periodicity.
Western blotting of human and mouse samples
Cells were lysed by incubation in radioimmunoprecipitation assay (RIPA) buffer (65.3 mM Tris [pH 7.4], 150 mM NaCl, 1% Nonidet P40, 50 mM NaF, 0.1 mM Na3VO4 and 1 x protease inhibitor cocktail [Sigma]) on ice for 15 minutes followed by trituration through a 21G needle. Insoluble material was removed by centrifugation at 13, 000 x g for 15 minutes. Cleared lysates were separated on 4–12% Bis-Tris polyacrylamide gel (Invitrogen) then transferred onto BioTrace NT nitrocellulose membranes (PALL Life Sciences). Membranes were blocked with 5% skim milk, washed, then incubated with anti-PHF6 antibody clone 4B1B6 (1.5 mg/ml) [17] and subsequently with goat anti-mouse IgG HRP-conjugated antibody (Dako). ß-tubulin (AbCam ab6046) and Ponceau S staining were used as loading control. Enhanced chemiluminescence method (GE Healthcare, Sweden) was used to develop the blots. Examination of the blots showed that ß-tubulin was present in variable amounts in the lymphoblastoid cell lines derived from different individuals. Therefore, Ponceaus S staining of the gel is displayed as a loading control.
Protein lysates from E15.5 whole mouse brain were isolated using KALB lysis buffer (1% Triton X, 1 mM EDTA, 150 mM NaCl, 50 mM Tris HCl pH 7.4, 0.02% NaN3) with added proteinase inhibitors (Roche). Denatured lysates were separated by electrophoresis on a 4–12% NuPAGE Bis-Tris gel and transferred onto a PVDF membrane (Osmonics). The membrane was blocked with 5% skim-milk/PBST, probed with rabbit anti-PHF6 (Bethyl Laboratories, A301-452A), mouse anti-α Tubulin (Invitrogen, A11126) and subsequently HRP conjugated anti-rabbit IgG (Sigma, NA934) and HRP conjugated anti-mouse IgG (Sigma, NA931). Enhanced chemiluminescence method (GE Healthcare, Sweden) was used to develop the blots. The signal was detected using ChemiDoc (BioRad).
Cresyl-violet staining
Adult mouse brains were perfusion fixed with paraformaldehyde, paraffin-embedded, cut into 10 μm serial sections followed by cresyl-violet staining. Calculation of the lateral ventricle, cortex and overall brain volume was performed using methods adapted from previous studies [84]: ImageJ was used to trace the area of the lateral ventricles, cortex area or total brain area across seven sections for each animal spaced approximately 480 μm apart. Note that because of the different size of the brains between genotypes, representative sections were matched for measurement rather than being randomly selected to ensure the same number of sections were analysed in spanning the region of interest. The volume was calculated by multiplying the sum of the areas (mm2) by 0.01 mm (section thickness) by the number of sections in between each analysed section. Purkinje cells were quantified using ImageJ by counting the number of Purkinje cells per mm of Purkinje cell layer across four evenly spaced sections of the cerebellum for each animal.
GAD67 staining
GAD67 staining was performed using formaldehyde perfusion-fixed brains as previously described [85] using the Chemicon anti-GAD67 antibody (available from Millipore Cat. #MAB5406, Lot #2775517). Quantification was performed by counting the number of positively stained cells in the cerebral cortex of representative parietal sections of the brain.
Cortical layer analysis
Foetal cortical layering staining was performed on cryosections of E18.5 brain frozen in OCT Compound (Agar Scientific) as described previously [86]. In brief, following fixation in 4% formaldehyde for 20 minutes, permeabilisation in 0.25% Triton X-100 for 20 min, sections were blocked with 10% normal goat serum for 30 min then stained with a combination of anti-SATB2 (Abcam, ab51502), anti-CTIP2 (Abcam, ab18465), anti-TBR1 rabbit antibody (Abcam, ab31940). After 1 h of primary antibody incubation, slides were washed, then stained with a mix of anti-rabbit IgG AMCA (Jackson ImmunoResearch, 111-156-003), anti-rat IgG Alexa 568 (Invitrogen, A-11077), and anti-mouse IgG Alexa 488 (Invitrogen, A-11029). Slides were coverslipped with Dako fluorescence mounting medium (Agilent) and imaged using a compound fluorescence microscope (Axioplan2, Carl Zeiss) and a digital camera (AxioCam HRC, Carl Zeiss) utilizing the AxioVision software (v 3.1, Carl Zeiss). Quantification was performed by dividing the span of the cortex into 10 bins and counting the number of cells of each type within each bin.
Adult cortical layering staining was performed on paraffin sections. Briefly, deparaffinised sections were processed through intervening PBS washes with H2O2 to block endogenous peroxidase, with primary antibody (against Reelin, G20, ab78540, Abcam; CTIP2, 25B6, ab18465, Abcam; CUX1/CASP, 2A10, ab54583, Abcam; FOXP2, ab16046, Abcam), biotinylated secondary antibody (anti-mouse/rabbit IgG, Vector Laboratories), avidin:biotinylated horseradish peroxidase complex (Vector Laboratories) and diaminobenzidine.
Cortical neuron cultures
Dissected E16.5 cerebral cortices were incubated on ice in pancreatin trypsin (25 mg/ml pancreatin, Sigma, and 5 mg/ml trypsin; Gibco, in PBS) for 30 min, followed by a 5 min incubation at 37°C after removal of the pancreatin trypsin. Alternatively, cortices were incubated with trypsin-EDTA (Sigma-Aldrich, 59430C) and for 10 to 15 min in a 37°C water bath. After rinsing, cortices were dissociated in 2% FCS using a P1000 pipette, then filtered through a 40 μm sieve in a 0.2% BSA/PBS solution. Cells were centrifuged twice for 5 min at 140 × g, rinsing with 0.2% BSA/PBS in between, and resuspended in medium (DMEM, 5 mM HEPES, 13.4 mM NAHC03, 0.6% D-glucose, 25 μg/mL insulin, 100 μg/mL apotransferrin, 9.6 μg/mL putrescine HCL (9.6 μg/mL, 2 mg/mL BSA, 1% FCS, 5.18 nM selenium and 6.3 ng/mL progesterone, 100 μg/mL streptomycin and 100 U/mL penicillin) and filtered again through a 40 μM sieve onto plates pre-coated with poly-L-lysine (Sigma). Alternatively, 50,000 cells/cm2 were plated on 8-well chamber slides (Ibidi, 80826) or 10,000 cells/cm2 on 13 mm coverslips, both pre-coated with 15 μg/ml poly-L-ornithine (Sigma-Aldrich, P4957) for 2 h at 37°C and 5% CO2, followed by 4.5 μg/ml laminin (Sigma-Aldrich, L2020) O/N at 37°C and 5% CO2, with a PBS wash in between coating solutions.
Immunofluorescence staining and neurite quantification
Cells were cultured as above on poly-L-lysine-coated chamber slides for 5 days. Cells were fixed with 4% formaldehyde for 20 min, permeabilised with 0.3% Triton X-100, blocked in 10% foetal calf serum for 1h, then incubated with anti-β tubulin III (Promega, G7121) in 10% FCS for 1 h at 37°C, followed by anti-mouse IgG Alexa 568 (Molecular probes, A21124) and DAPI in 10% FCS at 37°C for 30 min. Slides were mounted in Dako fluorescence mounting medium and imaged using a compound fluorescence microscope (Axioplan2, Carl Zeiss). Neurite length was traced in Adobe Illustrator. 100–150 neurons were traced per animal.
Alternatively, cells were stained using mouse anti-parvalbumin (Sigma-Aldrich, P3088) and rabbit anti-VGLUT1 (Invitrogen, 48–2400) in 10% (w/v) FBS and 0.25% (w/vol) Triton-X 100 O/N at 4°C. Slides were washed in PBS (2x 5 min) and incubated with goat anti-mouse IgG1(Alexa Fluor 568, Invitrogen, A21124) and goat anti-rabbit IgG (H+L, Alexa Fluor 488, Invitrogen, A11008) secondary antibodies in 10% (w/vol) NGS for 1 h at 37°C.
Neural stem and progenitor cell culture
Primary neural stem and progenitor cells (NSPCs) were dissected from the SVZ of adult mice or dorsal telencephalon of E12.5 embryos. Tissue was triturated into a single cell suspension in 1 ml NeuroCult Proliferation Kit (Mouse & Rat; Stemcell Technologies, 05702) with added EGF and bFGF and passed through a 100 μm cell sieve (Corning, 431751). Cells were plated on uncoated 6-well cell culture plates (Corning, 353046) containing 2 ml complete neurosphere medium and grown at 37°C and 5% CO2. Cells were passaged every 4 to 5 days. Floating neurospheres were collected and centrifuged at 200 g for 5 min. Supernatant was removed and cells were resuspended in 1 ml Accutase (StemCell Technologies, 07922) and incubated for 5 min in a 37°C water bath. Cells were resuspended in 5 ml complete neurosphere medium and centrifuged at 200 g for 5 min. Supernatant was removed and cells resuspended in 1 ml fresh complete neurosphere medium and counted using a Countess automated cell counter (Invitrogen), excluding dead cells using trypan blue (Sigma, T8154). Cells were seeded at 50,000 cells in 2 ml fresh complete neurosphere medium. The proliferative capacity of neurosphere cultures was assessed using cell counts at each passage.
Neurosphere forming assay
Secondary neurosphere formation was assessed as described [87]. Briefly, primary neurosphere cultures were dissociated, cell counts determined, plated into 96-well plates in 100 μl complete neurosphere medium at densities of 4, 8, 16, 32, 64, 125 and 1000 cells per well, in triplicate. Cells were grown in 37°C and 5% CO2. Secondary neurospheres were counted after 7 days of culture.
Neural stem and progenitor cell differentiation
Primary neural stem cells were dissected from the dorsal telencephalon of E14.5 foetuses. Tissue was triturated into a single cell suspension in 1 ml complete neurobasal differentiating medium (Gibco) and passed through a 100 μm cell sieve (Corning, 431751). To determine the differentiation capacity of neurospheres, 10,000 cells/cm2 were plated onto 4-well chamber slides (Thermo Scientific, 154526) pre-coated with 15 μg/ml poly-L-ornithine (Sigma-Aldrich, P4957) for 2 h at 37°C and 5% CO2, followed by 4.5 μg/ml laminin (Sigma-Aldrich, L2020) O/N at 4°C, with a PBS wash in between coating solutions. Cells were grown in complete neurobasal differentiating medium for 5–7 days at 37°C and 5% CO2.
Immunocytochemistry
Cells were cultured in 4-well chamber slides (Thermo Scientific, 154526) pre-coated with 15 μg/ml poly-L-ornithine (Sigma-Aldrich, P4957) for 2 h at 37°C and 5% CO2, followed by 5 μg/ml laminin (Sigma-Aldrich, L2020) O/N at 4°C, with a PBS wash in between coating solutions. Cells were cultured under differentiation conditions. Differentiated cells were fixed in 4% (w/vol) PFA for 20 min at RT, washed in PBS (2x 5 min) and blocked in 10% (w/vol) FBS at 37°C for 1 h. Cells were incubated with mouse anti-βIII tubulin IgG1 (Promega, G7121) and rabbit anti-GFAP (Agilent Technologies, Z033401-2) in 10% (w/v) FBS and 0.25% (w/vol) Triton-X 100 O/N at 4°C. Slides were washed in PBS (2x 5 min) and incubated with goat anti-mouse IgG1 (Invitrogen, A21124) and goat anti-rabbit IgG (H+L, Alexa Fluor 488, Invitrogen, A11008) secondary antibodies in 10% (w/vol) NGS for 1 h at 37°C. Slides were washed in PBS (2x 5 min) and the walls of chamber slides removed. Slides were mounted in mounting medium (VECTASHIELD Vibrance, Vector Laboratories, H17002) and allowed to dry O/N at 4°C. Slides were imaged using a fluorescent microscope (Axioplan2, Zeiss) and a digital camera (AxioCam HRC, Zeiss).
Flow cytometry
Cells were gently pipetted off the bottom of a 6-well plate and collected by centrifugation (200 g, 5 min) and washed in PBS. Cells were stained with Live/Dead fixable violet dye (1:1000, Thermofisher, L34955) for 30 minutes on ice. Cells were washed in PBS and collected by centrifugation (200 g, 5 min). Cells were fixed and permeabilised using Foxp3 kit fixation/permeabilisation kit (Ton Biosciences, TNB-1022-L160) for 1 h on ice. Cells were washed in 2% FACS buffer (2x 30 min washes at RT). Cells were stained with antibodies detecting O4 (A594, R&D, FAB1326T), βIII-tubulin (PerCP Cy5.5, R&D, IC1195C), SOX2 (APC, R&D, IC2018A), GFAP (A488, Invitrogen, 53-9892-82) and S100β (1:400, Millipore, Ab52642) in 2% FACS buffer O/N at 4°C. Cells were washed in 2% FACS buffer (2x 15min), followed by wash with 2% FACS buffer O/N at 4°C. Cells were collected by centrifugation (200 g, 5 min) and incubated with goat anti-rabbit antibody (Alexa Fluor A555, ThermoFisher, A21428) in 2% FACS buffer for 2 h at RT. Cells were washed in 2% FACS buffer (2x 30 min) and resuspended in 200 μl 2% FACS buffer and analysed on the BD LSRFortessa X-20 Cell Analyzer at fewer than 7500 events/sec.
RNA isolation
RNA was extracted from dissected E15.5 mouse cortex and E16.5 cortical neurons cultured for 24 hours using a Rneasy Mini Kit (Qiagen, 74104) as per the manufacturer’s instructions with the optional Dnase digest step included. RNA quality and concentration were determined by automated electrophoresis using the Agilent 4200 Tapestation (Agilent).
RNA-sequencing
RNA was isolated from dissected E15.5 cerebral cortex (n = 5 Phf6–/Y and n = 3 Phf6+/Y) and E16.5 cortical neurons cultured for 24 hours (as described above, n = 4 Phf6lox/Y;Nes-creTg/+ and n = 3 Phf6+/Y;Nes-creTg/+) was used for RNA sequencing. These tissues and cells were chosen, because E15.5 cortex is the developing cortex at peak neurogenesis directly taken ex vivo without any inference of culture systems, but with the caveat of a mixed population of cells, including some non-neuronal cells such as blood vessel endothelial cells. E16.5 neurons cultured overnight in a medium selects for neurons and provides a most homogeneous cell population of cortical neurons (>98% based on immunofluorescence marker staining). cDNA libraries were constructed using the TruSeq Stranded RNA Library Prep Kit (Illumina). The indexed libraries were pooled and diluted to 1.5 pM for paired-end 81bp sequencing on a NextSeq 500 instrument using the v2 150 Cycles High Output Kit (Illumina). The base calling and quality scoring were determined using Real-Time Analysis on board software v2.4.6, while the FASTQ file generation and de-multiplexing utilised bcl2fastq conversion software v2.15.04. All FASTQ files were aligned to the mouse genome, build mm10, using the Rsubread aligner v1.21.12 [88]. Reads overlapping each Entrez gene were summarized into counts using featureCounts [89] and Rsubread’s inbuilt RefSeq annotation. Differential expression analyses were then undertaken independently for each cell type using the edgeR [90] and limma [91] software packages.
Gene annotation was downloaded from the NCBI (ftp.ncbi.nlm.nih.gov/gene/DATA/GENE_INFO). For each cell type all unknown, pseudo, and predicted genes were removed. Additionally, all ribosomal RNAs (rRNAs), genes with no official symbol and those not on a known chromosome were also removed. Following this, lowly expressed genes were filtered in each data set using edgeR’s filterByExpr function with default settings. TMM normalisation [92] was then applied to the samples in each cell type and the data transformed to log2-counts per million reads (CPM).
Differential expression between the E15.5 cerebral cortex Phf6-/Y and Phf6+/Y samples, and the E16.5 cultured cortical neuron Phf6lox/YNes-creTg/+ and Phf6+/YNes-creTg/+ samples, was assessed using linear models and robust empirical Bayes moderated t-statistics with a trend prior variance [93]. P-values were adjusted to control the false discovery rate (FDR) below 5% using the Benjamini and Hochberg method. To increase precision, the linear models in each analysis incorporated a correction for a mouse litter effect.
The multi-dimensional scaling (MDS) plots, mean-difference (MD) plots and barcode plots were generated by limma’s plotMDS, plotMD and barcodeplot functions respectively. Gene set tests were conducted using roast [94]. The annotations in org.Mm.eg.db_3.8.2 were used. Heatmaps were generated using the pheatmap package with row scaling and otherwise default settings.
cDNA synthesis
The cDNA synthesis reaction mix consisted of 5 μM Oligo(dT)15 (Promega, Cat#C110A), 1 μl of dNTP mix (containing 10mM dATP, dGTP, dCTP and dTTP each, Bioline, BIO- 39044), RNA from E15.5 mouse cortex, and was made up to 20 μl with autoclaved H2O. This mix was incubated at 65°C for 5 min for primer annealing, then at 50°C for 1 hour with 1 μl SuperScript III Reverse Transcriptase (Invitrogen, 18080085), 1 μl RnaseOut (Invitrogen, 10777019), 1 μl of 100 μM DTT (supplied with SuperScript III, Invitrogen, 18080085), and 4 μl of RT buffer (supplied with SuperScript III, Invitrogen, 18080085). To inactivate the enzyme, samples were incubated at 70°C for 15 min, followed by incubation with Rnase H (Invitrogen, 100004927) to remove RNA.
RT-qPCR
Each RT-qPCR reaction consisted of 10 μl of SensiMix SYBR Hi-ROX (Bioline, QT605), 6 μl H2O, 1 μl of each of primer (final 0.5 mM concentration), and 2 μl of cDNA. Each reaction was performed in technical triplicate. Samples were heated to 95°C for 10 min in 384 well plates and then run through 40 cycles of: 95°C for 20s, 60°C for 20s and 72°C for 30s using a QuantStudio 12K Flex (ThermoFisher). Standard curves for each primer pair were created using five-fold serial dilutions. Relative concentrations of the samples were obtained using the standard curve based on Cp values. Averages of each technical replicate were taken, then normalised to an average of the housekeeping genes (Hsp90ab1, Pgk1).
WM-ISH probes and probe labelling
To generate cDNA templates, the mRNA sequence of the mouse gene of interest was obtained from UCSC online (http://genome.ucsc.edu/index.html) and submitted to Primer3 (http://bioinfo.ut.ee/primer3-0.4.0/primer3/) to generate primers producing an amplicon between 800 and 1200 bp in length, annealing at 60°C. cDNA from a wild type C57BL/6 adult mouse brain was used to generate the amplicon via conventional PCR techniques, which was visualised by gel electrophoresis. The purified cDNA amplicon was cloned into a plasmid vector using the TOPO TA Cloning Kit for Sequencing (Invitrogen, 450030), with OneShot competent cells according to manufacturer’s instructions. Plasmid DNA was extracted using the PureLink Quick Plasmid Miniprep Kit (Life Technologies, K210010). A sample of each clone was checked by PCR and capillary sequencing. DIG-labelled cRNA probes were generated using the DIG RNA Labelling Kit (Roche, 11175025910) as per manufacturer’s protocol.
Whole-mount in-situ-hybridisation (WM-ISH)
Whole E15.5 mouse brains were harvested and fixed in 4% (w/v) PFA/PBS for 2 h at 4°C with gentle rocking. Fixed brains were rinsed once in PBST (PBS + 0.1% Tween20; Sigma, P7949) before 5 min incubations in a dehydration series of 25%, 50%, 75% (v/v) methanol/PBS and 100% methanol. Day 1: brains were serially rehydrated by incubating for 5 min each in 75%, 50%, 25% (v/v) methanol PBST and twice in PBST. Brains were incubated for 60 min in 6% H2O2 in PBST at RT to block endogenous peroxidases and bleach the tissue, washed in PBST (3x 5 min at RT) and permeabilised for 20 min in10 μg/ml proteinase K in PBST. Proteinase K was quenched by incubating brains in 2 mg/ml glycine in PBST for 5 min then washed in PBST (2x 5 min at RT). Brains were refixed in 0.2% (v/v) glutaraldehyde in 4% (w/v) PFA/PBS for 20 min, then washed in PBST (2x 5 min at RT), before incubating in pre-hybridisation buffer (50% (v/v) deionised formamide, 5x SSC pH 4.5, 1% (w/v) SDS, 50 μg/ml yeast RNA, 50 μg/ml heparin in MQ-H2O) at 65°C in a hybridisation oven for 1h. 10 μl of antisense probe against Nefl, Peg10, Phip and Zdbf2 were denatured for 5 min at 95°C, then added to 1 ml preheated hybridisation buffer. The brains were incubated in the probe/hybridisation buffer mix overnight at 65°C in a hybridisation oven with gentle rotation. Day 2: Solution 1 (50% formamide, 5x SSC pH 4.5, 1% SDS in MQ-H2O), 1:1 Solution 1:Solution 2 (0.5 M NaCl, 10 mM Tris-HCl, 0.1% Tween-20 in MQ-H2O) and Solution 3 (50% formamide, 2x SSC pH 4.5 in MQ-H2O) were prepared. Brains were rinsed once in Solution 1, before being incubated in Solution 1 (2x 30 min), then 10 min in 1:1 Solution 1:Solution 2. At room temperature, brains were washed in RT Solution 2 (3x 5 min), before incubating at 37°C in 100 μg/ml RnaseA in Solution 2 (2x 30 min) followed by 5 min wash at RT in Solution 2. Brains were returned to the 65°C hybridisation oven in Solution 3 (2x 30 min), then RT MABL (100 mM maleic acid, 150 mM NaCl in MQ-H2O pH 7.5 with 0.48 mg/ml Levamisole) (1 x 15 min), 2% BMB (Blocking Reagent; 11096176001, Roche) in MABL (1 x 15 min) and 20% foetal calf serum, 2% BMB in MABL (1 x 1 h). Brains were then incubated overnight at 4°C in 1:2000 alkaline phosphatase-conjugated anti-Digoxigenin-antibody-AP, Fab Fragments (11093 274 910, Roche) pre-blocked at 4°C in 20% FCS, 2% BMB in MABL. Day 3: All steps were performed at RT. Brains were washed in MABL (3x 5 min) then in MABL (4x 1 h) before incubating overnight at RT in NTMTL (100 mM NaCl, 100 mM Tris-HCl pH 9.5, 50 mM MgCl2, 1% Tween-20, 2 mM Levamisole in MQ-H2O). Day 4: All steps were performed at RT, unless otherwise stated. Brains were washed in NTMTL (3x 10 min) followed by addition of 20 μl/ml alkaline phosphatase substrate NBT-BCIP (11681541001, Roche) in NTMTL. The signal was developed at 4°C at least overnight. The reaction was stopped by removing substrate solution and washing the brains in PBST for 5 min, followed by incubating at RT in PBST (2x 30 min), then clearing at RT in 40% glycerol (4°C O/N), 60% glycerol (4°C O/N) then 80% glycerol for photography.
Calcium imaging
E16.5 cortical neurons were cultured as described above. At day 5, the culture medium was removed, and cells were incubated with Fluo-4 AM (Invitrogen, F14217) in complete neurobasal differentiating medium for 1 h at 37°C and 5% CO2. Cells were then washed with complete neurobasal differentiating medium without dye (3x 5 min). Fresh complete neurobasal differentiating medium was added and cells were imaged with a live-cell widefield inverted microscope (Axio Observer, Zeiss). For a single excitation wavelength of Fluo-4, the excitation light was filtered through a 460–490 nm band pass filter and the emission light passed through a 515–550 nm band pass filter and captured by a high-speed digital camera. Acquisition protocols consisted of 5-minute time-lapse sequences of Fluo-4 fluorescence at 100 msec intervals. Analysis, processing and playback of the image sequences for visual inspection was conducted using ImageJ /FIJI software ((http://fiji.sc/Fiji). To assess differences in calcium resulting from spontaneous activity, the raw image sequences were processed to highlight changes in fluorescence intensity between frames. All cells were assessed as regions of interest and the mean pixel intensity at each frame was measured. The data were plotted as fluorescence intensity versus time (z profile) and subsequently converted to a relative scale (ΔF/F baseline) and a 0 to 1 range. Peaks and valleys were identified using a peak and valley detection algorithm devised by Tom O’Haver (https://terpconnect.umd.edu/~toh/spectrum/PeakFindingandMeasurement.htm#Spreadsheet). The following cut-off for background, minor and major peaks were used: (1) Peaks with a height of less than 1% of the maximal peak amplitude were considered background and excluded from the analysis. (2) Peaks with a height larger than 1% and less than 10% of the maximal peak amplitude were considered minor peaks. (3) Peaks with a height larger than 10% of the maximal peak amplitude were considered major peaks.
BFLS patient survey
An online CoRDS survey for BFLS patients as part of the BFLS Inc group has been established. The goal is to have both a registry and collect information for a natural history study of BFLS. BFLS patient families who are interested in participating can access the survey using this link: https://cords.sanfordresearch.org/activation-form.
Supporting information
Acknowledgments
We thank F. Dabrowski and WEHI Bioservices for assistance with animal experiments, M. Dixon for creating the Phf6 targeted construct and J. Chue for preliminary work on the Phf6 mutant mice. We thank R.E. May, S. Eccles and H. Pehlivanoglu for excellent technical support. We thank J. Crawford for her help with the patient cell lines and technical optimization of the anti-PHF6 antibody.
Data Availability
Lists of all processed RNA-sequencing results, including all expressed genes, differentially expressed genes, enriched GO terms and KEGGS pathways are available as S3 and S4 Tables. RNA-sequencing raw data files are available under GEO accession number GSE275729. The source data underlying Figs 1 to 5 and 7 and S1, S2, S4, S6, S7, S8, S10, S11, S14 and S15 are provided as a source data file S1 Data.
Funding Statement
This work was supported by an Australian Postgraduate Award (H.M.M.), National Health and Medical Research Council (NHMRC) Project grants (1029481 and 1084248 to A.K.V.), NHMRC Research Fellowships (1003435 [T.T.], 575512 and 1081421 [A.K.V.], 1154970 [G.K.S.] and 1155224 [J.G.], NHMRC investigator grants 1176789 [A.K.V.] and 2025645 [G.K.S.]), Independent Research Institutes Infrastructure Support Scheme from the Australian Government’s NHMRC, and a Victorian State Government Operational Infrastructure Support Grant. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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