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. 2014 Dec 23;3:e05151. doi: 10.7554/eLife.05151

Transient inhibition of the ERK pathway prevents cerebellar developmental defects and improves long-term motor functions in murine models of neurofibromatosis type 1

Edward Kim 1,, Yuan Wang 1,2,3,, Sun-Jung Kim 1,2, Miriam Bornhorst 1,2,4, Emmanuelle S Jecrois 1,2, Todd E Anthony 5, Chenran Wang 6, Yi E Li 1, Jun-Lin Guan 1,6, Geoffrey G Murphy 7,8, Yuan Zhu 1,2,3,*
Editor: Duojia Pan9
PMCID: PMC4297949  PMID: 25535838

Abstract

Individuals with neurofibromatosis type 1 (NF1) frequently exhibit cognitive and motor impairments and characteristics of autism. The cerebellum plays a critical role in motor control, cognition, and social interaction, suggesting that cerebellar defects likely contribute to NF1-associated neurodevelopmental disorders. Here we show that Nf1 inactivation during early, but not late stages of cerebellar development, disrupts neuronal lamination, which is partially caused by overproduction of glia and subsequent disruption of the Bergmann glia (BG) scaffold. Specific Nf1 inactivation in glutamatergic neuronal precursors causes premature differentiation of granule cell (GC) precursors and ectopic production of unipolar brush cells (UBCs), indirectly disrupting neuronal migration. Transient MEK inhibition during a neonatal window prevents cerebellar developmental defects and improves long-term motor performance of Nf1-deficient mice. This study reveals essential roles of Nf1 in GC/UBC migration by generating correct numbers of glia and controlling GC/UBC fate-specification/differentiation, identifying a therapeutic prevention strategy for multiple NF1-associcated developmental abnormalities.

DOI: http://dx.doi.org/10.7554/eLife.05151.001

Research organism: mouse

eLife digest

Neurofibromatosis type 1 is a condition characterized by the growth of tumors along the nerves of the body. It is caused by mutations in a gene called NF1, which codes for a protein that normally works to inhibit the activity of another protein called Ras. In healthy cells, Ras is needed to stimulate the cells to grow and divide. However, if the Ras protein is not turned off at the right time or if it is activated at the wrong time, it can force cells to keep growing and dividing; this leads to the growth of tumors.

Along with being prone to developing cancer, individuals with neurofibromatosis type 1 also develop a range of neurodevelopmental disorders that alter their learning, motor skills and social interactions. Some also exhibit behaviors that are associated with autism. This led Kim, Wang et al. to investigate whether a region of the brain—called the cerebellum—that has recently been associated with autism is also affected in a mouse model of neurofibromatosis type 1.

The cerebellum is best known for its role in coordinating movement, although it also has functions in cognition, behavior and other processes. Ras is involved in the development of the cerebellum; and so Kim, Wang et al. asked whether the loss of the Nf1 gene from cells in the mouse cerebellum might cause the neurodevelopmental defects associated with neurofibromatosis type 1.

Loss of Nf1 during early (but not in late) development of the cerebellum disrupted the normal organization of the nerve cells (or neurons) into specific cell layers. These defects were caused, in part, by the over-growth of a type of supporting cell—called glia cells—at a specific developmental stage—that would normally form a scaffold to help neurons migrate to their correct position. Nf1 also controls the generation of the correct types of neurons in the right time and at right location during the early development of the cerebellum.

Next, Kim, Wang et al. treated newborn mice with a compound that inhibits Ras signaling via their mother's milk for 3 weeks. In mice with an inactive Nf1 gene, the treatment helped to prevent some defects in the cerebellum and the mice had improved motor coordination several months later. Whether this could form the basis of a preventative treatment for neurodevelopmental disorders associated with neurofibromatosis type 1 in humans remains a question for future work.

DOI: http://dx.doi.org/10.7554/eLife.05151.002

Introduction

Neurofibromatosis type 1 (NF1) is a genetically inherited disorder that afflicts 1 in 2700 newborns (Evans et al., 2010). NF1 is caused by loss-of-function mutations in the NF1 tumor suppressor gene, which encodes neurofibromin, a negative regulator of proto-oncogene RAS (Cichowski and Jacks, 2001; Upadhyaya and Cooper, 2012). RAS mediates multiple signaling pathways including extracellular signal-regulated kinase (ERK) subfamily of mitogen-activated protein kinases (MAPK), phosphatidylinositol 3-kinase (PI3K) and mammalian target of rapamycin complex 1 (mTORC1) (Schubbert et al., 2007; Mendoza et al., 2011). In addition to the development of tumors in the peripheral and central nervous system (CNS), neurodevelopmental deficits are highly prevalent among children with NF1, negatively impacting cognition, motor function, and social interaction (Hyman et al., 2005, 2006; Johnson et al., 2010; Krab et al., 2011; Lorenzo et al., 2011; Lehtonen et al., 2013; Walsh et al., 2013; Garg et al., 2013a, 2013b; Adviento et al., 2014; Champion et al., 2014; Plasschaert et al., 2014). While cognitive impairments associated with NF1 have been well documented, motor dysfunction, social and behavioral deficits including autism spectrum disorders (ASD) have only recently been established as common features of NF1 in childhood (Johnson et al., 2010; Krab et al., 2011; Lorenzo et al., 2011; Walsh et al., 2013; Garg et al., 2013a, 2013b; Champion et al., 2014). Approximately 50–80% of children with NF1 have impairments in fine and gross motor function, which can be identified as early as at the toddler stage (Johnson et al., 2010; Krab et al., 2011; Lorenzo et al., 2011). One recent study has shown that impairments of gross motor skills and cognitive functioning in NF1 are often co-morbidities, suggesting the potential existence of a common pathological mechanism underlying both motor and cognitive impairments (Champion et al., 2014).

The cerebellum is traditionally known as a motor organ, which controls both motor coordination and motor learning (Sillitoe and Joyner, 2007). However, it has been increasingly recognized that the cerebellum also plays a critical role in higher-order brain functions such as cognition, learning, affect and behavior (Schmahmann and Caplan, 2006; Strick et al., 2009; Basson and Wingate, 2013). About 80% of individuals with ASD exhibit anatomical abnormalities in the cerebellum, among which gliosis and Purkinje cell loss are most commonly identified (Bailey et al., 1998; Palmen et al., 2004; Vargas et al., 2005; Fatemi et al., 2012). Magnetic resonance imaging (MRI) studies on children with ASD discovered increased white matter and reduced gray matter volumes in the cerebellum (Courchesne et al., 2001; Bloss and Courchesne, 2007). In addition, T2-weighted hyperintensities in the cerebellum are one of the most consistent brain abnormalities observed in individuals with NF1 (Feldmann et al., 2010; Payne et al., 2014). These findings suggest that individuals with NF1, particularly those with co-morbidity of cognitive, motor and social deficits, might have developmental abnormalities of the cerebellum.

During development, major cerebellar cell populations are derived from two germinal zones. Radial glial (RG) stem cells in the ventricular zone of the fourth ventricle (IV–VZ) give rise to all the GABAergic neuronal lineages—Purkinje cells and GABAergic interneurons including small deep cerebellar nuclei (DCN), Golgi, basket, and stellate cells (Sillitoe and Joyner, 2007; Buffo and Rossi, 2013). Cerebellar astrocytes including Bergmann glia (BG) are also derived from RG cells in the IV-VZ. A secondary germinal zone in the anterior portion of the rhombic lip (RL) generates glutamatergic neuronal lineages, including large DCN, unipolar brush cells (UBCs), and granule cells (GCs) (Englund et al., 2006; Sillitoe and Joyner, 2007; Mugnaini et al., 2011; Buffo and Rossi, 2013). At the onset of mouse cerebellar neurogenesis, projection neurons (Purkinje cells and DCN) are first generated between embryonic day 10.5–11.5 (E10.5–11.5) (Hatten, 1999). At E12.5, Math1 (also known as Atoh1)-expressing proliferating precursors migrate out of the RL and spread across the surface of the cerebellum to form the external granule layer (EGL) (Hatten, 1999). Around postnatal day 4–5 (P4–5), GC precursors (GCPs) in the EGL start to exit cell cycle and form a pre-migratory zone along the edge of the EGL. Post-mitotic cells then migrate along the BG scaffold, across the molecular layer (ML), and form the internal granule layer (IGL), where they become mature GCs and form synapses with Purkinje cells through mossy fibers (Hatten, 1999; Sillitoe and Joyner, 2007). Besides GCs, RL-derived Math1+ precursors also generate the second type of glutamatergic excitatory interneurons, UBCs. UBCs exit the RL at perinatal stages and migrate through the white matter (WM) into the IGL of the cerebellum (Englund et al., 2005; Mugnaini et al., 2011). The molecular and cellular mechanisms regulating migration and lineage specification of GC/UBC precursors remain largely unknown.

It has been shown that the components of RAS/ERK and PI3K signaling pathways play diverse and critical roles in different cell types and at distinct stages during cerebellar development (Yue et al., 2005; Fogarty et al., 2007; Lin et al., 2009; Yu et al., 2011; Müller Smith et al., 2012; Li et al., 2014; Meier et al., 2014). However, recent studies have shown that Nf1 heterozygous mice exhibit no defect in cerebellum-specific motor tests and that children with NF1 do not appear to have a general dysfunction of the cerebellum (Krab et al., 2011; van der Vaart et al., 2011). These observations suggest that mono-allelic NF1/Nf1 inactivation is not sufficient to cause developmental and functional deficits in the cerebellum. Thus, we hypothesize that bi-allelic Nf1 inactivation in neural stem and progenitor cells during development is required for producing cellular pathologies in the cerebellum. In this study, we utilize four genetically engineered mouse (GEM) models that target bi-allelic Nf1 inactivation into different cell lineages or in the same lineage(s) at different stages during cerebellar development. We identify a specific time window of susceptibility of glial and neuronal precursors to Nf1 mutation during early, but not late stages of cerebellar development. Accordingly, we develop a transient therapeutic strategy during a neonatal window, which prevents cerebellar developmental defects and provides long-term benefits on motor functions.

Results

Bi-allelic inactivation of Nf1 at early developmental stages disrupts neuronal lamination in the cerebellum

We first utilized a Cre transgenic strain controlled by human glial fibrillary acidic protein promoter (hGFAP-cre) to inactivate Nf1 in RG stem cells in the IV-VZ around E12.5 (Figure 1—figure supplement 1A,A′). RG cells targeted by hGFAP-cre in the E12.5 IV-VZ give rise to glutamatergic neuronal precursors populating the RL and astrocyte precursors producing astrocytes in cerebellar parenchyma (Zhu et al., 2005; Sillitoe and Joyner, 2007; Yang et al., 2008). Of note, the majority of oligodendrocytes in the cerebellum do not arise from RG cells in the IV-VZ, but from sources in the ventral-lateral mid/hindbrain (that was also targeted by hGFAP-cre) (Yang et al., 2008; Grimaldi et al., 2009; Mecklenburg et al., 2011). Glutamatergic neurons (including GCs) and glia, but not GABAergic Purkinje cells, were targeted by hGFAP-cre-mediated recombination, revealed by β-galactosidase (β-gal) expression of the Rosa26-LacZ reporter and PCR analysis (Figure 1—figure supplement 1A,B,B′) (Soriano, 1999). The hGFAP-cre driven Nf1 conditional knockout mice (hereafter referred to as Nf1hGFAPCKO) displayed severe defects in motor behaviors including abnormal hind limb crossing and vertical projection of tails. Most of the Nf1hGFAPCKO mice had ataxic hind limbs and some exhibited a unique ‘handstand’ behavior during postnatal stages (Figure 1—figure supplement 1C; Video 1). The motor dysfunction observed in neural-specific Nf1hGFAPCKO mice suggests possible defects in the cerebellum. As revealed by Hematoxylin & Eosin (H&E) staining, neuronal lamination in all folia of the Nf1hGFAPCKO cerebellum was disrupted with a varying degree of severity (Figure 1A). In the severely affected areas (e.g., folia V/VI), the patterning of Calbindin+ Purkinje cells was disrupted, and failed to form the single Purkinje cell layer (PCL) observed in controls (Figure 1B). Since hGFAP-cre was not targeted to Purkinje cells, the disorganized Purkinje cells still expressed neurofibromin (Figure 1C; Figure 1—figure supplement 1B) (Zhu et al., 2005; Yang et al., 2008). Thus, the disrupted patterning of Purkinje cells must be non-cell-autonomous, and secondary to Nf1 inactivation in other cerebellar neurons and/or glia. To further confirm the notion, we utilized L7-cre to inactivate Nf1 specifically in Purkinje cells (Figure 1—figure supplement 1D) (Tsai et al., 2012). No overt defect was identified in the Nf1L7CKO cerebellum, confirming that Nf1 is relatively dispensable in the development of Purkinje cells (Figure 1—figure supplement 1E,F).

Video 1. Behavioral defects of Nf1hGFAPCKO mice before and after MEKi treatment.

Download video file (40.4MB, mp4)
DOI: 10.7554/eLife.05151.003

This video illustrates the typical phenotypes seen in vehicle-treated and untreated Nf1hGFAPCKO mice compared to controls including scruffy fur, unbalanced gait, vertical projection of the tail, hyperactivity, hind-limb crossing, and hand-standing. Following MEKi treatment, the G-responders appear similar to the controls except the vertical projection of the tail, while the P-responders are more similar to the vehicle-treated mutants. All the mice in this video are P21 except the mouse with the hand-standing phenotype, which was videotaped at 4 months of age.

DOI: http://dx.doi.org/10.7554/eLife.05151.003

Figure 1. Nf1 inactivation during early cerebellar development disrupts neuronal lamination and causes BG abnormalities.

(A) Sagittal sections from control and Nf1hGFAPCKO cerebella at 2 months of age were stained with H&E and imaged at three increasing magnifications. Each cerebellar folium is numbered by Roman numerals. Arrows in (A, B) highlight folia V/VI where mutants exhibited extra foliation and arrows in (B′′) point to the cells clustered in the ML and on the pial surface of the Nf1hGFAPCKO cerebellum. The total number of cells in the ML and IGL were quantified in (A′) and (A′′). (B) Cerebellar sections were stained for Calbindin (CalB) /NeuN. Arrows point to mispositioned CalB+ Purkinje cells. (C) Sections from adult Nf1hGFAPCKO cerebellum were stained with β-gal/CalB and Nf1. Purkinje cells (arrows) were β-gal and expressed Nf1. (D) Cerebellar sections were stained for NeuN and GABARα6. The insets are the high magnification images of the boxed areas highlighting the co-localizing cells. The number of NeuN+ cells in the ML and IGL were quantified in (D′) and the percentage of NeuN+ cells in the IGL among total NeuN+ cells (ML + IGL) is shown. The percentage of GABARα6+NeuN+/NeuN+ cells in the ML was quantified in (D′′). (E) The cell bodies (arrows) and processes of BG in control and mutant cerebella were labeled by BLBP staining. The total number of BLBP+ BG cells was quantified in (E′). (F) Sections were stained for CalB/BLBP. Boxed areas compare the Purkinje cell alignment in the less affected areas (lower box) and severely affected areas (upper box) in the Nf1hGFAPCKO cerebellum. Note the correlation between increased number/misalignment of BG and the severity of the disruption of Purkinje cell layer. (G) Sections were stained for CalB/GFAP. Boxed areas highlight the severely disrupted BG alignment and Purkinje cell patterning. All the quantification data are presented as mean ± SEM. DAPI labels the nuclei. Scale bars: 50 μm.

DOI: http://dx.doi.org/10.7554/eLife.05151.004

Figure 1.

Figure 1—figure supplement 1. Purkinje cell defects in the Nf1hGFAPCKO cerebellum are non-cell-autonomous.

Figure 1—figure supplement 1.

(A) The developmental lineages of the major cerebellar cell types are illustrated. Cell types expressing distinct Cre recombinases (hGFAP, L7, Math1) are highlighted by red dashed boxes. Of note, these Cre drivers except for L7-cre also target cells in the other regions of the brain. (A′) The laminar structure, the alignment and marker expression of Bergmann glia, Purkinje cells and granule cells in adult cerebellum are illustrated. (Ba-d) X-gal staining was performed on cerebellar sections from P0.5 (A, B) and P60 (C, D) double-transgenic hGFAP-cre+; R26LacZR mice to determine the pattern of Cre-mediated recombination. Arrows point to Purkinje cells, which were not stained. Inset in (D) shows a positive control for the X-gal staining in the Purkinje cells that were targeted by Synapsin I-cre (Zhu et al., 2001). PCZ, Purkinje cell zone; PCL, Purkinje cell layer. EGL, external granule cell layer (B′) DNA extracts of the whole cerebellum and tail from hGFAP-cre+;Nf1flox/+ mice were analyzed by PCR analysis, which distinguishes Nf1 wildtype (+), flox (x1) and deleted (Δ) alleles. Note that in the cerebellum the flox allele was completely recombined and became deleted allele. (C) Adult Nf1hGFAPCKO mice exhibited a unique ‘handstand’ behavior. (DF) Cerebellar sections from adult control and Purkinje-cell-specific Nf1L7CKO mice were analyzed. (D) The specificity of L7-cre-mediated recombination in Purkinje cells was confirmed by CalB and β-gal staining. (E, F) CalB+ Purkinje cells, BLBP+ BG cells and NeuN+ granule cells were compared between control and Nf1L7CKO cerebella and no difference was identified. DAPI labels the nuclei. Scale bars: 50 μm.

In contrast to the normal cerebellum with three distinct laminar layers—ML, PCL and IGL, the boundary between these three layers in the Nf1hGFAPCKO cerebellum was less clearly defined, and the cell number in the ML was dramatically increased with a concomitant reduction of cells in the IGL (Figure 1A–A′′; Figure 1—figure supplement 1A′). Some of the abnormally accumulated cells in the Nf1hGFAPCKO ML were found on the pial surface of the cerebellum, corresponding to the EGL—a structure that transiently exists during development, but disappears after the completion of GC migration (arrows, Figure 1Ab′′). No significant difference was found in the total number of NeuN+ neurons in the ML and IGL (per surface area) between the control and Nf1hGFAPCKO cerebellum. Instead, the distribution of NeuN+ neurons was greatly altered between the control and Nf1hGFAPCKO cerebellar cortex—the number of NeuN+ neurons was increased over 20-fold in the mutant ML (Figure 1D,D′). While no cells in the control ML expressed GABA receptor alpha 6 subunit (GABARα6), a marker for mature GCs, 60% of abnormally accumulated neurons in the Nf1hGFAPCKO ML were positive for GABARα6 (Figure 1D,D′′). These observations are most consistent with a model wherein a subset of Nf1-deficient GCs fail to migrate inward from the EGL, across ML and PCL, to the IGL. The arrested migration of GCs leads to abnormal neuronal patterning and lamination of the Nf1hGFAPCKO cerebellum.

We next investigated the integrity of the BG scaffold—an essential glial structure for GC migration during development (Sillitoe and Joyner, 2007). In the control cerebellum, BG cells were located either immediately below or interspersed between Purkinje cell bodies, forming a Purkinje cell and BG (PC/BG) monolayer (arrows, Figure 1E,F) (Buffo and Rossi, 2013). In contrast, Nf1-deficient BG cells failed to form a PC/BG monolayer, which appeared to be caused by excess number and mispositioning of BG cells (arrows, Figure 1E,E′,F). A strong correlation was observed between the severity of neuronal patterning defects and the abnormalities in the number and position of BG cells and the integrity of the PC/BG monolayer (Figure 1F). Importantly, the capacity of Nf1-deficient BG cells to extend their processes to the pial surface was relatively uncompromised—this was even true for some of the BG cells that were located in the areas outside the PC/BG layer in the Nf1hGFAPCKO cerebellum (Figure 1G). Based on these results, we propose a model wherein inactivation of Nf1 during early embryonic stages overproduces BG cells, thus impairing the formation of the PC/BG monolayer, and consequently, the alignment of the BG scaffold. The defective BG scaffold non-cell-autonomously arrests GC migration and subsequently disrupts Purkinje cell patterning during cerebellar development.

Nf1 inactivation increases astrocyte proliferation at an intermediate precursor stage

We investigated the mechanism by which Nf1 inactivation during early cerebellar development overproduced BG cells in the Nf1hGFAPCKO cerebellum. No defect was observed in the overall structure and the distribution of RL-derived Math1+ neuronal precursors in the EGL, Purkinje cells or BLBP+ cells in the E17.5 Nf1hGFAPCKO cerebellum (Figure 2—figure supplement 1A). Furthermore, no difference was identified in the number of BLBP+ RG cells (including proliferating BLBP+Ki67+ population) in the IV-VZ (Figure 2—figure supplement 1B). However, an increased number of both total BLBP+ and proliferating BLBP+Ki67+ cells was observed in the prospective white matter (PWM) of the E17.5 Nf1hGFAPCKO cerebellum compared to controls (Figure 2A,A′). More importantly, mitotic index, determined by the ratio of proliferating BLBP+Ki67+ cells to the total BLBP+ cells, was significantly increased in the E17.5 Nf1hGFAPCKO PWM (Figure 2A,A′). These observations suggest that Nf1 specifically constrains the proliferation of astrocyte precursors in the PWM, but not multipotent RG cells of the IV-VZ in the E17.5 cerebellum. At P0.5, both Purkinje cells and BLBP+ BG cells (except for those populating future folia IX and X) were situated into a more defined Purkinje cell plate (or rudimentary PC/BG layer); BG cells, particularly those in the anterior cerebellum, underwent differentiation extending their GFAP+BLBP+ fibers to the pial surface (Figure 2—figure supplement 1C). Unexpectedly, the increased mitotic index was no longer detected in the more differentiated BLBP+ BG cells in the anterior folia, but only in the posterior folia (IX and X) of the Nf1hGFAPCKO cerebellum where BG cells had not formed a rudimentary PC/BG layer at P0.5 (Figure 2B,B′,2C,C′; Figure 2—figure supplement 1D). The differentiation of BG cells was accompanied by the transition of (1) the anatomical location from the PWM to rudimentary PC/BG layer and (2) the subcellular expression of BLBP from nuclei to cytoplasm. Specifically, BLBP staining in the anterior folia of the P0.5 control cerebellum became largely cytoplasmic, while a robust nuclear BLBP staining was typically found in less differentiated BLBP+ cells in both the E17.5 control and Nf1hGFAPCKO cerebellum (arrows, Figure 2A). Consistently, an increase of cells with strong nuclear BLBP staining in the P0.5 Nf1hGFAPCKO cerebellum was identified, suggesting a persistent increase of proliferating BG cells into postnatal stages (Figure 2D). Similarly, BLBP+ cells in the PWM, the precursors of WM astrocytes, still exhibited an increased mitotic index in the P0.5 Nf1hGFAPCKO cerebellum (Figure 2—figure supplement 1D–D′′). At P8 when BG cells had formed a rudimentary PC/BG layer throughout the cerebellum, the mitotic index of BLBP+ BG cells was no longer increased in the Nf1hGFAPCKO cerebellum, despite a significant increase of both total BLBP+ and proliferating BLBP+Ki67+ BG cells (Figure 2—figure supplement 1E,E′). Together, these results suggest that Nf1 constrains the proliferation of the BG/astrocyte lineage cells specifically at an intermediate precursor stage located in the PWM, but not at an earlier RG stem cell stage or a more differentiated BG stage, thereby identifying a window of susceptibility of astrocyte precursors to Nf1 mutation.

Figure 2. Nf1 inactivation leads to increased proliferation of intermediate glial precursors and subsequent glial/neuronal defects during perinatal development.

(A) Sections of control and Nf1hGFAPCKO cerebella were stained for BLBP and Ki67. Boxed areas in (A) are shown in high magnification on the right. Dashed lines delineate the boundary between the prospective white matter (PWM) and cerebellar cortex. IV, fourth ventricle. The number and mitotic index of BLBP+ cells were quantified in (A′). (B, C) Cerebellar sections were stained for BLBP/Ki67 and imaged at anterior fissure (B) and posterior fissure (C). Dashed lines delineate the boundary of the PWM. The mitotic index of BLBP+ cells in respective fissures was quantified in (B′) and (C′). (D) Sections were stained for GFAP and BLBP. BLBP in the mutant cerebellum exhibit strong nuclear staining (arrows). (E) Sections were stained for Cre/GFAP (AB′) and APC/BLBP (C, D). White bars mark the rudimentary PC/BGL in the control and the Nf1hGFAPCKO cerebellum. The arrow points to an abnormal BG cell located close to the EGL in the mutant cerebellum. (C, D) Arrowheads point to BG cell bodies. (F) Sections were stained for CalB/GFAP. Arrowheads point to BG cell bodies. (G) Sections were stained by H&E. Lower panels are the high magnification view of folia V/VI. Arrows point to folia V/VI (upper panels) where the mutants exhibit the extra foliation. In lower panels, arrows point to the cell clusters in the mutant ML. The total cell number in the ML was quantified in (G′). (H) Sections were stained for NeuN. The total number of NeuN+ cells in the ML was quantified in (H′). All the quantification data are presented as mean ± SEM. DAPI labels the nuclei. Scale bars: 50 μm.

DOI: http://dx.doi.org/10.7554/eLife.05151.006

Figure 2.

Figure 2—figure supplement 1. Nf1 regulates cerebellar astrocyte proliferation during an immediate precursor stage.

Figure 2—figure supplement 1.

(A) Cerebellar sections from E17.5 control and Nf1hGFAPCKO cerebella were stained for H&E, Math1 (in situ hybridization), CalB and BLBP (immunohistochemistry). (B) The total number and mitotic index of BLBP+ cells in the IV-VZ (shown in Figure 2A) were quantified. (CD′′) Cerebellar sections from P0.5 control and Nf1hGFAPCKO cerebella were stained for H&E, Calbindin, GFAP, BLBP and BLBP/Ki67 and imaged at low magnification. Dashed boxes in (D) represent the anterior fissure, PWM and posterior fissure, which were compared at high magnification in (D′) and Figure 2B,C. The total number and mitotic index of BLBP+ cells was quantified in (D′′). (EH′′) Control and Nf1hGFAPCKO cerebella were analyzed at P8. (E) Sections were stained for BLBP and Ki67. Arrows point to representative co-localizing cells. The total number and mitotic index of BLBP+ cells were quantified in (E′). (F) Sections were stained for GFAP and CalB. Arrows point to Bergmann glial nuclei. (G) Sections were stained for Math1 and Zic1 by in situ hybridization. Zic1 is a marker for the granule neuron lineage in the postnatal cerebellum. (H) Control and Nf1hGFAPCKO mice were analyzed 2h after BrdU pulse at P8. Sections were stained for BrdU. Lower panels are the high magnification view of folia V and VI. Red arrows (upper panels) point to folia V/VI where the mutants exhibit the extra foliation. In lower panels, arrows point to the proliferating cells in the BG layer. (H′) High magnification view of BrdU staining in the EGL shows the focal reduction of BrdU+ cells in the mutants. The total number and percentage of BrdU+ cell number in the EGL were quantified in (H′′). All the quantification data are presented as mean ± SEM. DAPI labels the nuclei. Scale bars: 50 μm.

Nf1 is not required for late stages of BG development

At P8, control BG cells labeled by nuclear Cre staining formed a rudimentary 2 to 3 cell-layer lining within the APC+ Purkinje cell layer (Figure 2E). In contrast, excess BG cells failed to form a similar PC/BG layer, but were aberrantly distributed throughout the Nf1hGFAPCKO cerebellar cortex (Figure 2E,F). Consequently, some Nf1-deficient BG cells extended their processes from ectopic locations of the cerebellum including the WM, ML and IGL, accompanied by misalignment of the BG scaffold (Figure 2E,F; Figure 2—figure supplement 1F). Similar to the Nf1hGFAPCKO cerebellum in adulthood, disrupted patterning of GCs and Purkinje cells often co-existed with the misalignment of BG cells at P8 (Figure 2F; Figure 2—figure supplement 1F). Indeed, all major defects observed in BG cells, GCs and Purkinje cells of the adult Nf1hGFAPCKO cerebellum were identified at P8, suggesting that these defects manifest during neonatal stages (Figure 2G–H′; Figure 2—figure supplement 1F–H′′). These results supports a model wherein overproduction of astrocyte precursors during embryonic stages is the primary defect causing both glial and neuronal abnormalities in the Nf1hGFAPCKO cerebellum. To rule out a role of Nf1 in late stages of glial development, we sought to more specifically inactivate Nf1 in glial cell lineages during late embryonic stages by employing an inducible system. This inducible system utilized a Nestin-creER (NCreER) transgene, which can be activated in Nestin-expressing neural stem and progenitor cells by tamoxifen (TM) treatment (Figure 3—figure supplement 1A) (Burns et al., 2007; Wang et al., 2012). Upon a single TM pulse at E17.5, NCreER-targeted cells analyzed at P21 were restricted to glial lineage cells in both the control and Nf1NCreERCKO cerebellum with only one exception in folium X, where a significant number of both glia and GCs in the IGL were targeted (Figure 3A,B; Figure 3—figure supplement 1B,C). Given the sequential differentiation from the anterior to posterior cerebellum, this targeting strategy would inactivate Nf1 in more differentiated glial cells in the anterior folia compared to those in the posterior folia. No alteration in the number of BLBP+ cells or the BG scaffold was observed in any of the anterior folia (I to V) between the control and Nf1NCreERCKO cerebellum (Figure 3A). Furthermore, neurons did not abnormally accumulate in the ML of the anterior Nf1NCreERCKO folia (Figure 3A,A′; Figure 3—figure supplement 1D,D′). In folium X, the number of Nf1-deficient BLBP+ cells (BLBP+β-gal+) was significantly increased, though this was subtle compared to the Nf1hGFAPCKO cerebellum (Figure 3B,C). Indeed, the other posterior folia (e.g., VI–IX) exhibited a slightly, but significantly increased number of Nf1-deficient BLBP+ cells (Figure 3—figure supplement 1C,C′). The overproduction of BLBP+β-gal+ BG cells in the posterior folia of the Nf1NCreERCKO cerebellum appeared to be caused by cell-autonomous Nf1 inactivation, as the number of non-NCreER-targeted BLBP+β-gal- cells in the same areas was not altered (Figure 3B,C). Importantly, the overproduction of BLBP+ BG cells was accompanied by focal misalignment of the BG scaffold and abnormal accumulation of both Nf1-deficient (NeuN+β-gal+) and Nf1-intact (NeuN+β-gal) neurons in the ML of the Nf1NCreERCKO cerebellum (Figure 3B,D; Figure 3—figure supplement 1E). These results suggest that overproduction of this particular astrocytic lineage causes impaired formation of the PC/BG monolayer and BG scaffold, non-cell-autonomously arresting GC migration.

Figure 3. Nf1 is not required for BG function in late developmental stages.

Control and Nf1NcreERCKO mice were tamoxifen (TM)-induced at E17.5 and analyzed at P21. Adjacent sections were triple-stained for BLBP/β-gal/NeuN or GFAP/β-gal/NeuN staining, and were imaged at folium V (A) and folium X (B). NeuN staining (*, Alexa 647) was artificially converted to green. The insets in (B) highlight BLBP+β-gal+ cells and NeuN+β-gal+ cells in the boxed areas. The number of BLBP+ cells (A′, C) and NeuN+ cells (D) was quantified and their co-localization with β-gal was compared. Note that in folia V, none of the NeuN+ cells co-localized with β-gal. Arrows point to representative co-localizing cells, and arrowheads label non-co-localizing cells. All the quantification data are presented as mean ± SEM. DAPI labels the nuclei. Scale bars: 50 μm.

DOI: http://dx.doi.org/10.7554/eLife.05151.008

Figure 3.

Figure 3—figure supplement 1. Inactivation of Nf1 in Nestin-expressing progenitor cells at E17.5 induces overproduction of glia cells in the posterior cerebellar folia.

Figure 3—figure supplement 1.

(A) Control and Nf1NcreERCKO mice were tamoxifen (TM)-induced at E17.5 and analyzed at P21 (see Materials and Methods). (B) X-gal staining shows the distribution of recombined cells in the TM-induced control and mutant cerebella. (C) The E17.5 TM-induced control and Nf1NcreERCKO cerebella were triple-labeled by BLBP, β-gal and NeuN. In Nf1NcreERCKO cerebellum, white colored Roman numerals (I–V) represent folia that exhibited minimal phenotype, yellow ones exhibited mild phenotype (VI–IX) and the red one (X) had the most severe defects. (C′) High magnification images at folia VIII/IX are shown on the right. (D, E) Low magnification images of GFAP/β-gal/NeuN staining are shown to compare the overall glial/neuronal phenotypes in folium V (D) and folium X (E), respectively. Red arrows point to the white matter of folium X. White arrows point to representative co-localizing cells, and arrowheads label non-co-localizing cells. (D′) The number of NeuN+ cells in the ML of folium V was quantified. DAPI labels the nuclei. Scale bars: 50 μm.

Cell-autonomous function of Nf1 in the glutamatergic interneuronal lineages

To determine whether Nf1 also plays a cell-autonomous role in the glutamatergic neuronal lineages, we utilized Math1-cre, which specifically targets Math1+ neuronal precursors in the developing RL that give rise to both GCs and UBCs (Englund et al., 2006; Schuller et al., 2008). Math1-cre-mediated recombination was almost exclusively restricted to the cells in the IGL of the adult cerebellum (Figure 4A). Double staining of β-gal and other lineage markers showed that β-gal+ cells were restricted to GCs in the IGL, but not Purkinje cells or glial cells, including BG cells (Figure 4B,B′). No defect in Purkinje cells or glial cells, particularly the BG scaffold, was observed in the adult Nf1Math1CKO cerebellum (Figure 4B,B′). Consequently, unlike the severely disrupted Nf1hGFAPCKO cerebellum, the Nf1Math1CKO cerebellum was relatively unimpaired (Figure 4—figure supplement 1A). However, the Nf1Math1CKO cerebellum did exhibit one major defect observed in the Nf1hGFAPCKO cerebellum—abnormal accumulation of cells in the ML including some on the pial surface (arrows, Figure 4A,B–B′′; Figure 4—figure supplement 1A,A′). The number of NeuN+β-gal+, but not NeuN+β-gal neurons, was significantly increased, suggesting that the increased neuronal density in the ML of the Nf1Math1CKO cerebellum was caused by abnormal accumulation of Nf1-deficient NeuN+ neurons in a cell-autonomous manner (Figure 4A,B,B′′). Despite that no defect in the BG scaffold was observed, abnormal accumulation of neurons was evident in the ML of the P8 Nf1Math1CKO cerebellum, suggesting a developmental defect during neonatal stages (Figure 4—figure supplement 1B). To investigate the mechanism underlying the arrested migration of Nf1-deficient GCs, we performed BrdU pulse-chase experiments to determine the time course of the differentiation and migration of newly generated GCs during neonatal stages. We analyzed P8 control and Nf1Math1CKO cerebella 24, 32 and 48 hr after BrdU pulse by determining the location and differentiation status of BrdU-labeled cells. 24 hr after pulse, BrdU+ cells in both the control and Nf1Math1CKO cerebellum remained exclusively in the EGL and exhibited similar cell cycle profiles, suggesting that Nf1 is not required for proliferation and cell-cycle exit of GC precursors (GCPs) (Figure 4—figure supplement 1C–C′′). However, 32 hr after BrdU pulse, a subset of BrdU+ cells in the control cerebellum started departing from the EGL and entered the ML, not yet reaching the IGL (Figure 4C). While migrating GCs in the control ML did not express MAP2, a marker for mature GCs in the IGL, and had nuclei with a spindle-shaped migrating morphology, many BrdU+ cells in the Nf1Math1CKO ML already acquired MAP2 expression with rounded nuclei—typical neuronal differentiation features for mature GCs in the IGL (arrows, Figure 4C,C′). After 48-hr BrdU pulse, BrdU+MAP2+ cells in the Nf1Math1CKO cerebellum progressively accumulated in the ML and EGL whereas control BrdU+ cells did not express MAP2 until they reached the IGL (Figure 4D; Figure 4—figure supplement 1D,D′). Newly generated neurons were abnormally accumulated in the ML/EGL of the Nf1Math1CKO cerebellum, leading to an increased number of differentiated BrdU+Ki67 and p27+ cells in the ML/EGL with a concomitant reduction in the IGL (Figure 4—figure supplement 1E,E′,F,F′). These observations suggest that a subset of Nf1-deficient GCPs undergo accelerated and premature neuronal differentiation, thereby arresting their migration in the EGL and ML. This conclusion was further supported by in vitro studies. 2 days after being plated in culture, significantly more Nf1-deficient GCPs expressed MAP2 than control cells, confirming an accelerated neuronal differentiation rate in a cell-autonomous manner (Figure 4—figure supplement 1G,G′). Importantly, Nf1-deficient GCs could efficiently interact with wild-type glia in a co-culture system and migrated normally in a trans-well migration assay (Figure 4—figure supplement 1H,H′). Together, both in vivo and in vitro assays argue that instead of causing defects directly on migration, Nf1 inactivation promotes premature neuronal differentiation of a subset of GCPs, leading to abnormal accumulation of differentiated neurons in the ML and EGL.

Figure 4. Neuron-specific Nf1 inactivation leads to cell-autonomous defects in the glutamatergic interneuron lineages.

(A) X-gal staining on P21 control and Nf1Math1CKO cerebella labeled cells that underwent Math1-cre-mediated recombination. Arrows point to the abnormally accumulated cells in the ML of the mutant cerebellum. (B, B′) Cerebellar sections were stained for NeuN/β-gal and Cal/β-gal, and GFAP/β-gal and BLBP/β-gal. The total number of NeuN+/β-gal+ and NeuN+/β-gal cell per high magnification field was quantified in (B′′). (CD) Control and Nf1Math1CKO mice were analyzed 32 hr and 48 hr after BrdU-pulse at P8. Cerebellar sections were stained for BrdU/MAP2 and imaged at folium V. High magnification images comparing the nuclear morphology of BrdU+ cells are shown in (C′) and (D′). (E, E′) Cerebella sections from P8 control and Nf1Math1CKO mice were stained for Tbr2/MAP2 (E) and Tbr2/NeuN (E′) and imaged at folium V. The inset in (E) shows an example of Tbr2+MAP2+ cells in the mutant ML. (F, G) 24 hr and 48 hr after BrdU-pulse, cerebellar sections from P8 control and Nf1Math1CKO mice were stained for Tbr2/BrdU. The distribution of Tbr2+BrdU+ cells (arrows) in the EGL-ML-IGL was quantified 24 hr and 48 hr after BrdU-pulse in (F′) and (G′), respectively. (H) Golgi staining was performed on P8 cerebellar sections. Cells with UBC morphology are highlighted by red arrows and shown in high magnification (lower panels). Dashed red lines delineate the ML. PC, Purkinje cell; GC, granule cell; bt, the brush tip of UBCs. (I) Cerebellar sections from adult control and Nf1Math1CKO cerebella were stained for Tbr2/NeuN and imaged at folium V. (I′) The number of Tbr2+NeuN+ (arrows) and Tbr2+NeuN cells (arrowheads) in the ML of folium V per high magnification image was quantified and compared with Nf1hGFAPCKO mice. The percentage of Tbr2+NeuN+ cells among total NeuN+ cells was also quantified. (J) A proposed model summarizes the role of Nf1 in preventing the ectopic differentiation of GCPs into UBCs. As a comparison, the timeline of normal UBC genesis is shown in (J′). All the quantification data are presented as mean ± SEM. DAPI labels the nuclei. Scale bars: 50 μm.

DOI: http://dx.doi.org/10.7554/eLife.05151.010

Figure 4.

Figure 4—figure supplement 1. Neuron-specific Nf1 inactivation does not impact on the proliferation or migration of GCPs.

Figure 4—figure supplement 1.

(A) Cerebellar sections from adult control and Nf1Math1CKO cerebella were stained by H&E. Lower panels are the high magnification view of folia V/VI in upper panels. (A′) The total number of cells in the ML of folia V/VI was quantified and compared with Nf1hGFAPCKO mice. (B) P8 cerebellar sections were stained for BLBP/NeuN and imaged at folium V. Dashed lines delineate the ML. (C) Sections of P8 control and Nf1Math1CKO cerebella were analyzed and stained for BrdU/Ki67 24 hr after BrdU pulse. (C′) The mitotic index of EGL precursors was quantified as the percentage of Ki67+ cells of total DAPI+ cells in the EGL. (C′′) The cell cycle exit index (fraction of cells exiting cell cycle) was quantified as the ratio of BrdU+/Ki67 cells (cells exiting cell cycle) to BrdU+/Ki67+ cells (cells remaining or reentering cell cycle) in the EGL. (DE) P8 control and Nf1Math1CKO mice were analyzed 48 hr after BrdU pulse. (D) Cerebellar sections were stained for BrdU/MAP2. The number of MAP2+BrdU+ cell in the ML was quantified in (D′). (E) Sections were stained for BrdU/Ki67. The number of BrdU+/Ki67 cells (newly differentiated cells) in the inner EGL/ML and IGL was quantified in (E′). oEGL, outer EGL; iEGL, inner EGL. (F) Cerebellar sections from P8 control and Nf1Math1CKO mice were stained for p27 and the number of p27+ cells in the inner EGL was quantified in (F′). (G) GCPs were isolated from control and Nf1Math1CKO cerebella at P8 and cultured in differentiation media for 2 days. Cells were then stained for MAP2 and quantified for the percentage of cells expressing MAP2 among total DAPI+ cells (G′). (H) Purified P6 granule cells from control and Nf1Math1CKO cerebella were cultured with wildtype cerebellar glia at a ratio of 1:2. Cells were then stained for Tuj1 and GFAP or subjected to Transwell migration assay. The number of granule cells that migrated through the membrane was quantified, normalized by the membrane area (per mm2) and compared (H′). All the quantification data are presented as mean ± SEM. DAPI labels the nuclei. Scale bars: 50 μm.

Fate-specification defects in Nf1-deficient glutamatergic neuronal lineages

Strikingly, many of the prematurely differentiated neurons in the ML of the P8 Nf1Math1CKO cerebellum expressed Tbr2, a marker specific for UBCs in the cerebellum (Figure 4E,E′). UBCs are the other known RL-derived glutamatergic interneurons that are enriched in folia responsible for vestibular motor function (folia IX and X) (Mugnaini et al., 2011). While GCs arise from GCPs in the EGL and migrate across ML to IGL between P4–P21, Tbr2+ UBCs exit the RL during late embryonic stages, and then migrate through the PWM into the IGL until P10 (Englund et al., 2006; Sillitoe and Joyner, 2007; Mugnaini et al., 2011). While Tbr2+ UBCs were rarely identified in the control ML (Englund et al., 2006), Tbr2+ cells including the newly generated Tbr2+BrdU+ cells were readily identified in the P8 Nf1Math1CKO EGL and ML (Figure 4E,E′,F,F′). Tbr2 expression was ectopically acquired in a subset of newly generated cells even before migrating out of the EGL, and over time these Tbr2+BrdU+ double-positive cells progressively accumulated from the EGL, ML to IGL (Figure 4F,F′,G,G′). These observations demonstrate that Nf1 inactivation ectopically generates Tbr2+ UBCs from GCPs in the EGL, which appear to migrate along the same pathway as GCs. More importantly, cells with the classic morphology of UBCs were identified in the ML of the P8 Nf1Math1CKO cerebellum, but not in the control cerebellum, indicating that these Tbr2+ cells not only acquire UBC-specific Tbr2 expression, but also undergo morphological differentiation of UBCs (Figure 4H) (Mugnaini and Floris, 1994). Consequently, approximately 30–40% of abnormally accumulated NeuN+ neurons in the ML of the adult Nf1Math1CKO cerebellum expressed Tbr2 (Figure 4I,I′). Together, these observations identify cell-autonomous Nf1 functions in suppressing GCPs to ectopically differentiate into UBCs (Figure 4J,J′).

Ectopic generation of Tbr2+NeuN+ UBCs is responsible for non-GC accumulation in the ML of the adult Nf1hGFAPCKO cerebellum

Ectopic generation of Tbr2+ UBCs from Nf1-deficient GCPs prompted us to investigate whether GABARα6-negative neurons abnormally accumulated in the ML of the Nf1hGFAPCKO cerebellum were UBCs (Figure 1D,D′′). Indeed, a dramatic increase of Tbr2+ cells was also observed in the ML throughout the adult Nf1hGFAPCKO cerebellum, which was most evident in folia V/VI (Figure 5A–A′′). The increase of Tbr2+ cells in the ML (98%) and IGL (94%) of the Nf1hGFAPCKO cerebellum was almost entirely contributed by UBCs that expressed a moderate level of Tbr2 as well as NeuN (Tbr2+NeuN+) (arrows, Figure 5B,B′). Almost all UBCs in the control folium V expressed high levels of Tbr2, but no NeuN (Tbr2highNeuN) and were mainly distributed in the IGL (arrowheads, Figure 5B,B′). It should be noted that the number of Tbr2highNeuN UBCs was not significantly different between the control and the Nf1hGFAPCKO cerebellum. The distinction between Tbr2+NeuN+ and Tbr2highNeuN UBC populations was further supported by the different percentage of these two types of UBCs expressing a high level of Calretinin (CRhigh). CRhigh is a marker for a subset of UBCs due to its low expression in granule cells (Mugnaini et al., 2011). Tbr2+NeuN+ UBCs in the ML and IGL of the Nf1hGFAPCKO cerebellum expressed CRhigh at a significantly lower percentage (36% and 38%) than Tbr2highNeuN UBCs (67%) typically observed in the IGL (Figure 5—figure supplement 1A,A′). Importantly, the absolute number of Tbr2+NeuN+ UBCs was similar in the ML of folium V between the Nf1Math1CKO and Nf1hGFAPCKO cerebellum, further supporting the notion that ectopic generation of these UBCs results from loss of cell-autonomous Nf1 function in the glutamatergic neuronal lineages (Figure 4I′). Similar to the Nf1Math1CKO cerebellum, ectopic Tbr2+NeuN+ UBCs were continuously generated in the ML and IGL of the Nf1hGFAPCKO cerebellum during postnatal stages (arrows, Figure 5—figure supplement 1B,B′,C,C′), well beyond the developmental window of the generation of control Tbr2highNeuN UBCs (Figure 4J,J′). Together, these observations demonstrate that the Tbr2+ UBCs ectopically generated in both the Nf1Math1CKO and Nf1hGFAPCKO cerebellum are different from those previously described in the normal cerebellum in 6 critical aspects: (1) the marker expression, Tbr2+NeuN+ vs Tbr2highNeuN, (2) the low vs high percentage expressing CRhigh, (3) the location, ML and IGL vs IGL, (4) the developmental origin, precursors in the EGL vs RL, (5) the timing of birth, neonatal vs embryonic stages, and (6) the migratory pathway, EGL-ML-IGL vs RL-PWM-IGL. Thus, we suggest the existence of two UBC sublineages. Importantly, the majority of GABARα6-negative neurons were Tbr2+NeuN+ cells, while no significant difference was observed in GABAergic neurons between the control and Nf1hGFAPCKO cerebellum (Figure 5—figure supplement 1D,E,E′). These observations suggest that Tbr2+NeuN+ UBCs are the major contributors to the non-GCs abnormally accumulated in the ML of the Nf1hGFAPCKO cerebellum (Figure 1D–D′′).

Figure 5. Glia-independent and -dependent UBC abnormalities in the Nf1hGFAPCKO cerebellum.

(A) The overall expression pattern of Tbr2 in the adult control and Nf1hGFAPCKO cerebella was compared. High magnification images were merged to provide a high-resolution view. (A′) Tbr2 staining in folium V/VI was compared. Arrows point to Tbr2+ cells in the ML. The total number of Tbr2+ cell in the ML of each folium was quantified in (A′′). (B) Sections were stained for Tbr2/NeuN and imaged at folium V. The number of Tbr2+NeuN+ cells and Tbr2+NeuN cells per high magnification field was quantified in (B′). The percentage of Tbr2+NeuN+ cells among Tbr2+ cells is illustrated. (C) Tbr2 staining in folium X was compared. The total number of Tbr2+ cells in the ML, IGL and WM of folia X was quantified in (C′). (D) Sections were stained for Tbr2/NeuN and imaged at folium X. The number of Tbr2+NeuN+ cells and Tbr2+NeuN cells per high magnification field was quantified in (D′) and (D′′). The percentage of Tbr2+NeuN+ cells is illustrated. (E) Sections were stained for GFAP and BLBP and imaged at folium X. The total number of GFAP+ cells in the WM was quantified in (E′). (F) Cerebellar sections from control and Nf1Math1CKO were stained for Tbr2/NeuN and compared. (GG′′) Control and Nf1NcreERCKO mice were TM-induced at E17.5 and analyzed at P21. Tbr2/β-gal staining was imaged at folium X (G) and high magnification views of the white matter (G′) and ventral folium X (G′′) were compared. Dashed lines mark the border between the WM and IGL in folium X. Of note, ectopic Tbr2+ cells in the WM of Nf1NcreERCKO were exclusively β-gal-negative (Nf1-wildtype) (G′). In contrast, the increase of Tbr2+ cells in the mutant ML was mostly contributed by Tbr2+β-gal+ cells (Nf1-deficient) (arrows, G′′). Arrows label co-localizing cells and arrowheads label non-co-localizing cells. All the quantification data are presented as mean ± SEM. DAPI labels the nuclei. Scale bars: 50 μm.

DOI: http://dx.doi.org/10.7554/eLife.05151.012

Figure 5.

Figure 5—figure supplement 1. The ectopic accumulation of Tbr2+ UBC in the ML of Nf1hGFAPCKO cerebella occurs during postnatal development.

Figure 5—figure supplement 1.

(A) Cerebellar sections were stained for Tbr2/CR and imaged at folium V. The number of Tbr2+CR+ cells and Tbr2+CR cells per high magnification field was quantified in (A′). The percentage of Tbr2+CR+ cells is illustrated. (B) Sections of P8 control and Nf1hGFAPCKO cerebella were stained for Tbr2/NeuN and imaged at folium V. The number of Tbr2+ cells in the ML of folium V was quantified in (B′). (C, C′) Control and Nf1hGFAPCKO mice were pulsed with BrdU at P8 and sacrificed at P18. Cerebellar sections were stained for Tbr2/BrdU (C) and NeuN/BrdU (C′) to label newly generated Tbr2+BrdU+ UBCs and NeuN+BrdU+ granular cells (arrows) (D) Adjacent sections from the same Nf1hGFAPCKO adult cerebellum were stained for GABAα6/NeuN and Tbr2/NeuN. * labels a blood vessel structure found in both sections, which was used as a reference to match these two sections. Boxed areas highlight a group of cells that express a significant level of GABAα6 but are mostly Tbr2. (E) Sections of adult control and Nf1hGFAPCKO cerebella were stained for NeuN/GABA and the number of GABA+ GABAergic neurons in the ML were quantified in (E′). DAPI labels the nuclei. All the quantification data are presented as mean ± SEM. Scale bars: 50 μm.
Figure 5—figure supplement 2. A subpopulation of UBCs in the Nf1hGFAPCKO cerebella fail to migrate into the IGL and are ectopically present in the WM during postnatal development.

Figure 5—figure supplement 2.

(A) The low magnification view of Figure 5D is shown to compare the overall distribution of Tbr2+ cells in folia IX and X. (B) Sections of adult control and Nf1hGFAPCKO cerebella were stained for Tbr2/CR and imaged at folium X. Dashed lines mark the border of white matter in folium X. The number of Tbr2+CR+ cells (arrows) and Tbr2+CR cells (arrowheads) per high magnification field were quantified in (B′, B′′). The percentage of double-labeled Tbr2+CRhigh cells among total Tbr2+ cells was illustrated. (C, C′) The distribution of Tbr2+ cells in E17.5 (C) and P0.5 (C′) control and Nf1hGFAPCKO cerebella was compared. Boxed areas in (C′, upper panels) are shown at higher magnification in lower panels to indicate the absence of Tbr2+ cells in the EGL of both control and mutant cerebella. (D) Sections of P8 control and Nf1hGFAPCKO cerebella were stained for Tbr2/NeuN and imaged at folia IX/X. The number of Tbr2+ cells in the WM of folium X was quantified in (D′). DAPI labels the nuclei. All the quantification data are presented as mean ± SEM. Scale bars: 50 μm.

Glia-dependent migratory defect of Tbr2highNeuN UBCs

As observed in the rest of mutant folia, the number of Tbr2+ cells was also significantly increased in the ML of the folium X of the Nf1hGFAPCKO cerebellum (Figure 5C,C′; Figure 5—figure supplement 1E). However, the number of Tbr2+ cells was unexpectedly reduced in the IGL of folium X of the Nf1hGFAPCKO cerebellum concomitant with ectopic presence of Tbr2+ cells in the surrounding WM (Figure 5C,C′; Figure 5—figure supplement 2A). As in Folium V, the Tbr2+NeuN+ UBC sublineage contributed to almost the entire UBC population in the ML of both the control (97%) and Nf1hGFAPCKO (99%) folium X (Figure 5D,D′). Similarly, Tbr2+NeuN+ UBCs were indeed increased in the IGL of Nf1hGFAPCKO folium X, and thus the reduction of Tbr2+ UBCs was exclusively attributed to a decreased number of Tbr2highNeuN UBCs in the IGL (Figure 5D,D′). Consistently, UBCs in both the Nf1hGFAPCKO WM and IGL were the Tbr2highNeuN sublineage, which was normally located in the IGL of the control cerebellum with a higher percentage expressing CRhigh (Figure 5—figure supplement 2B–B′′). More importantly, the total number of Tbr2highNeuN UBCs was almost identical, when the number of the Tbr2highNeuN UBCs in the WM and IGL of the Nf1hGFAPCKO cerebellum was combined to compare with the number of Tbr2highNeuN UBCs in the IGL of the control cerebellum, suggesting arrested migration in the WM (Figure 5D–D′′). Consistently, no alteration in the number and distribution of Tbr2+ UBCs was observed at early stages of UBC development before they migrated out of the RL or entered the PWM during perinatal stages (Figure 5—figure supplement 2C,C′). Instead, abnormal accumulation of Tbr2highNeuN UBCs in the Nf1hGFAPCKO WM was evident at P8, a time point when normal UBCs had already migrated through the PWM and entered the IGL (Figure 5—figure supplement 2D,D′). Together, these results suggest that the abnormal accumulation of Tbr2highNeuN UBCs in the WM of the Nf1hGFAPCKO cerebellum was caused by arrested migration of UBCs in the PWM on the way from the RL to the IGL during neonatal development (Englund et al., 2006).

Importantly, no ectopic Tbr2+ UBCs were observed in the WM of the Nf1Math1CKO cerebellum, suggesting a non-cell-autonomous mechanism (Figure 5F). Consistently, abnormally increased numbers of GFAP+BLBP astrocytes were observed in the enlarged WM of the adult Nf1hGFAPCKO cerebellum, raising the possibility that excess astrocytes in the WM could impede the migration of UBCs from the WM to the IGL (Figure 5E,E′). In the TM-induced Nf1NCreERCKO cerebellum where the number of glial cells was increased specifically in the posterior folia, a subpopulation of Tbr2high UBCs, all of which were wild-type for Nf1 (not labeled by β-gal expression), ectopically accumulated in the WM of folium X (arrowheads, Figure 5G,G′). Of note, excess Tbr2+ UBCs in the ML of the TM-induced Nf1NCreERCKO cerebellum appears to result from overproduction of Nf1-deficient Tbr2+β-gal+ UBCs—a cell-autonomous mechanism as described in the Nf1Math1CKO cerebellum (Figure 5G,G′′). These results suggest that overproduction of astrocytes in the WM of the Nf1hGFAPCKO and Nf1NCreERCKO cerebella produces a physical barrier that exerts non-cell-autonomous effect, arresting migration of Tbr2highNeuN UBCs in the WM.

MEK inhibition rescues neuronal defects in the developing Nf1Math1CKO cerebellum

To develop a therapeutic strategy to rescue cerebellar defects caused by Nf1 inactivation, we analyzed three major downstream effectors of Ras-mediated signaling pathways: Erk/MAPK, PI3K/Akt and mTORC1. Although Western blot analysis showed a significant reduction of neurofibromin expression, Erk/MAPK was the only downstream signaling pathway that was consistently hyperactivated in Nf1Math1CKO cerebella (Figure 6A). Consistent with the specificity of Math1-cre transgene, cell cultures with enriched P6 GCPs showed almost a complete loss of neurofibromin expression with a robust increase of Erk activation (Figure 6A′). A high level of phosphorylated Erk (p-Erk) expression was observed in a subset of IGL cells, while a low level in the ML and a complete absence of p-Erk in the EGL was found in the control cerebellum at P8 (Figure 6B). The pattern of p-Erk expression is consistent with a possible role of a high level of Erk signaling in neuronal differentiation. A robust increase of p-Erk expression was observed in the P8 Nf1Math1CKO cerebellum including the inner edge of the EGL (pre-migratory zone), the ML, and IGL (Figure 6B). Importantly, the NeuN+ neurons abnormally accumulated in the ML of the P8 Nf1Math1CKO cerebellum expressed a high level of p-Erk (arrows, Figure 6B). These results demonstrate that Nf1 is a major regulator that suppresses Erk signaling in migrating GCs in the pre-migratory EGL and migratory zone (ML) of the developing cerebellum. To test whether hyperactive Erk signaling is responsible for Nf1-deficient GCPs to undergo premature differentiation and ectopically adopt a UBC fate, we treated newborn control and Nf1Math1CKO pups with a MEK inhibitor (PD0325901) or vehicle from P0.5 to P21 for 3 weeks (Sebolt-Leopold and Herrera, 2004; Wang et al., 2012). This 3-week treatment protocol exhibited no adverse effect on normal cerebellar development, but reduced p-Erk expression in both MEKi-treated control and Nf1Math1CKO cerebella (data not shown). Strikingly, MEK inhibition completely eliminated ectopic Tbr2 expression in the ML of MEKi-treated Nf1Math1CKO cerebella (Figure 6C). MEK inhibition consistently reduced over 60% of abnormally accumulated neurons in the ML of the Nf1Math1CKO cerebellum (Figure 6C,C′). Since an increase of p-S6 staining was also identified in purified GCPs from the P6 Nf1Math1CKO cerebellum compared to controls (Figure 6A′), we treated control and Nf1Math1CKO mice with rapamycin, an mTORC1 inhibitor (Guertin and Sabatini, 2009). Rapamycin treatment had no benefit on neuronal defects in the Nf1Math1CKO cerebellum, but caused adverse effects on neuronal migration in both the control and mutant cerebellum (Figure 6—figure supplement 1). Together, these results demonstrate that Nf1-mediated MEK/Erk inhibition is the major mechanism underlying the suppression of a subset of GCPs that otherwise would undergo premature differentiation and ectopically adopt a UBC fate in the developing cerebellum.

Figure 6. Glia-independent neuronal defects in the Nf1Math1CKO cerebellum are rescued by P0.5–P21 MEKi-treatment.

Western blot analysis was performed on P8 whole cerebellar lysates (A) or P6 cultured GCP lysates (A′) from control and Nf1Math1CKO mice. (B) Cerebellar sections from P8 control and Nf1Math1CKO mice were stained for NeuN and p-Erk. Arrows highlight the NeuN+p-Erk+ cells in the mutant EGL and ML. (C) Control and Nf1Math1CKO mice were treated with vehicle or MEKi (5 mg/kg) from P0.5–P21 and analyzed at P21. Cerebellar sections were stained for Tbr2/NeuN, and imaged at low magnification (upper panels) and folium V (lower panels). (C′) The number of NeuN+ cells in the ML was quantified and compared. Of note, the yellow triangles represent 3 MEKi-treated mutant cerebella that still displayed cell clusters near the pial surface. Individual data points are presented, as well as mean ± SEM for each group. DAPI labels the nuclei. Scale bars: 50 μm.

DOI: http://dx.doi.org/10.7554/eLife.05151.015

Figure 6.

Figure 6—figure supplement 1. Rapamycin treatment during neonatal stages does not rescue the neuronal defects in the Nf1Math1CKO cerebellum, but causes adverse effects.

Figure 6—figure supplement 1.

(A) Sections of P8 control and Nf1Math1CKO cerebella were stained for p-S6 and NeuN. (B) Control and Nf1Math1CKO mice were treated with vehicle or Rapamycin from P0.5–P21 and analyzed at P21. Arrows point to p-S6+NeuN+ cells, which are also shown in the inset. (C) Rapamycin-treated control and Nf1Math1CKO mice exhibited significant cerebellar defects. Sections from vehicle- or Rapamycin-treated controls were stained for NeuN and p-S6. Arrows point to folia where there is abnormal neuronal clustering in the Rapamycin-treated cerebellum, but not in the vehicle-treated control. DAPI labels the nuclei. Scale bars: 50 μm.

Short- and long-term benefits of MEKi treatment on cerebellar and motor defects of Nf1hGFAPCKO mice

Based on the success of MEK inhibition on the developing Nf1Math1CKO cerebellum, we sought to investigate whether MEK inhibition could also rescue the more severely affected Nf1hGFAPCKO cerebellum. The MEKi-treated Nf1hGFAPCKO mice displayed a varying degree of therapeutic responses in glial and neuronal defects in the developing cerebellum as well as their general behaviors (Video 1). Of 14 MEKi-treated Nf1hGFAPCKO cerebella analyzed, 9 mice (good-responders or G-responders) exhibited a significant rescue in the number of neurons abnormally accumulated in the ML of the developing cerebellum at a level similar to what was achieved in the MEKi-treated Nf1Math1CKO mice (green color, Figure 7A–A′′). However, the remaining 5 of the MEKi-treated Nf1hGFAPCKO mice (poor-responders or P-responders) only exhibited marginal improvement in the neuronal defect (yellow color, Figure 7A–A′′). Importantly, G- and P-responders could be readily distinguished by the presence or absence of rescues (to the control levels) in the number of BG cells, alignment of the BG scaffold, the number of mispositioned Purkinje cells and arrested UBCs in the WM (Figure 7A,B,B′,C,C′). It should be noted that both G-responders and P-responders exhibited a complete rescue of ectopic Tbr2 expression in the ML of the MEKi-treated Nf1hGFAPCKO mice (Figure 7D,D′). Therefore, the fundamental difference in the cerebella of G- and P-responders lies in the presence or absence of rescue in glia-dependent cerebellar defects, which could result from inconsistent inhibition of much higher levels of hyperactive Erk signaling in Nf1-deficient glial lineage cells than that in Nf1-deficient immature neurons in the ML (Figure 7E; Figure 7—figure supplement 1A,B). Consistently, when we increased the dose of MEKi from 5 mg/kg to 20 mg/kg to lactating females, more consistent rescues were observed in the cerebella of MEKi-treated Nf1hGFAPCKO pups (Figure 7F; Figure 7—figure supplement 2).

Figure 7. MEKi treatment rescues glia-dependent cerebellar defects in the Nf1hGFAPCKO cerebellum.

(A) Cerebellar sections of vehicle- and MEKi-treated (5 mg/kg) control and Nf1hGFAPCKO mice were stained for GFAP/NeuN and CalB/BLBP and imaged at folium V. 9 out 14 MEKi-treated mutant mice (G-responder) exhibited a significant improvement, although the remaining 5 (P-responder) still had large number of cells in the EGL/ML and displayed severe laminar disruption. The number of NeuN+ cells in the ML was quantified and compared in (A′). For MEKi-treated mutants, green and yellow color represents G-responders and P-responders, respectively. G-responders and P-responders were separated into two groups and compared in (A′′). (C, D) Cerebellar sections were stained for Tbr2/NeuN and imaged at folia V and X. (B, B′, C′, D′) The correlation between the number of NeuN+ cells in the ML, and the number of BLBP+ BG cells (B), mispositioned Purkinje cells (B′), ectopic Tbr2+ cells in the WM (C′) and ML (D′) was plotted and compared. (E) Sections of P8 control and Nf1hGFAPCKO cerebella were stained for GFAP and p-Erk. Arrows highlight the GFAP+p-Erk+ cells in the ML, IGL and WM of the Nf1hGFAPCKO cerebellum. (F) Three Nf1hGFAPCKO mice treated with MEK inhibitor at 20 mg/kg from P0.5–P21 were analyzed at P60. GFAP/NeuN and CalB/BLBP staining show consistent rescue of both neuronal and glial defects. Individual data points are presented, as well as mean ± SEM for each group. DAPI labels the nuclei. Scale bars: 50 μm.

DOI: http://dx.doi.org/10.7554/eLife.05151.017

Figure 7.

Figure 7—figure supplement 1. Ras/Erk signaling is differentially activated in neuronal and glial precursors of the developing Nf1hGFAPCKO cerebellum.

Figure 7—figure supplement 1.

(A, B) Sections of P8 control and Nf1hGFAPCKO cerebella were stained for GFAP and p-Erk. Arrows highlight the GFAP+p-Erk+ cells in the ML, IGL and WM of the Nf1hGFAPCKO cerebellum. (B) is the high magnification view of (A). The different p-Erk level in the neuronal vs glial precursors Nf1hGFAPCKO cerebella is more evident in the images with lower exposure in (B). Boxed images are also shown in Figure 7E. DAPI labels the nuclei. Scale bars: 50 μm.
Figure 7—figure supplement 2. High-dose MEKi-treatment produces more consistent phenotypic rescue.

Figure 7—figure supplement 2.

(A) Control and Nf1hGFAPCKO mice were treated with vehicle or MEKi (20 mg/kg) from P0.5–P21 and analyzed at P60. H&E staining of the overall cerebellar structure and folium V are presented. Low magnification view of NeuN staining, as well as high magnification merged images of NeuN/GFAP, CalB/BLBP/DAPI are compared. Arrows point to misaligned Purkinje cells in the ML or IGL. Boxed images are also shown in Figure 7F. The number of NeuN+ cells in the ML, the total number of BLBP+ cells and the number of mispositioned Purkinje cells are quantified in (B), (C) and (D), respectively. DAPI labels the nuclei. All the quantification data are presented as mean ± SEM. Scale bars: 50 μm.

We next sought to determine whether the transient P0.5–P21 treatment protocol could exert a long-term and sustained therapeutic benefit. When analyzed at P45–P60—1 month after MEKi treatment was terminated, MEKi-treated Nf1hGFAPCKO G-responders exhibited the rescue effects on both glial and neuronal defects, while P-responders continued to have defects similar to those observed after acute treatment at P21 (Figure 8A,A′). To investigate whether the rescue of the cerebellar cellular and structural defects could improve motor functions, we performed a Rotarod test on control and Nf1hGFAPCKO mice for 4 consecutive days immediately after 3-week MEKi treatment. The MEKi-treated Nf1hGFAPCKO mice stayed significantly longer on the Rotarod compared to vehicle-treated mutant mice (Figure 8B). Moreover, while vehicle-treated Nf1hGFAPCKO mice did not improve motor performance over the 4-day training course, the MEKi-treated mutant mice exhibited a significant improvement similar to controls, suggesting MEKi treatment also enhanced motor learning (Figure 8B). Importantly, the improved motor performance was maintained at least 1 month after MEKi treatment was terminated, though the rescue in motor learning was lost (Figure 8B′; Video 2). G-responders stayed significantly longer on Rotarod than P-responders, providing a nice correlation between recues in cerebellar developmental defects and motor functions of MEKi-treated Nf1hGFAPCKO mice (Figure 8C). Together, these results demonstrate that transient MEKi treatment during neonatal stages prevents cerebellar developmental defects and provides long-term benefits on motor functions of Nf1hGFAPCKO mice.

Video 2. Rotarod testing.

Download video file (36.4MB, mp4)
DOI: 10.7554/eLife.05151.021

Representative P48 control and Nf1hGFAPCKO mice were videotaped on the final (fourth) day of rotarod performance testing. During the test, the vehicle-treated mutants had difficulty walking in a constant forward direction, rotated with the rotarod, and had frequent slippage with difficulty maintaining a grip on the rotarod ultimately resulting in a fall before 5 min. The MEKi-treated mice all had improved performance on the rotarod test, staying on the rotarod for the entire duration, but had a variable response to the treatment, as some of the MEKi-treated mice continued to show evidence of motor dysfunction (e.g., more likely to cling onto the rotarod instead of walking). The video includes clips from different time points and speeds during the rotarod test as a representation of the mouse performance during the task.

DOI: http://dx.doi.org/10.7554/eLife.05151.021

Figure 8. Transient MEKi treatment provides long-term rescue of the cerebellar defects and improves the motor performance of Nf1hGFAPCKO mice.

Figure 8.

(A) Control and Nf1hGFAPCKO mice were treated with vehicle or MEK inhibitor (MEKi) from P0.5–P21 and analyzed for BLBP/NeuN staining between P50 and P60. The number of NeuN+ cells in the ML and BLBP+ BG cells were quantified, respectively (A′). (B, B′) Rotarod tests were performed on transiently vehicle- and MEKi-treated control and Nf1hGFAPCKO mice for consecutive days from P21–P24 (B) or P45–P48 (B′) and the duration time for the mice to stay on the Rotarod was documented and compared. The correlation between the number of NeuN+ cells in the ML and duration time on the Rotarod at P48 was plotted in (C). (D) A model is proposed to summarize cell-autonomous and non-cell-autonomous defects in Nf1hGFAPCKO cerebellum and the underlying mechanisms. See main text. (E) A schematic diagram illustrates the differential Erk activation in the P8 control and Nf1hGFAPCKO cerebella. In controls, p-Erk expression is mostly restricted in the IGL neurons and a subset of WM glia, while in mutants, high level of p-ERK expression is identified in migrating neurons in the ML and the majority of WM glia. Note that in Nf1hGFAPCKO cerebella, p-ERK level is much higher in glia compared to neurons. Individual data points are presented, as well as mean ± SEM for each group. DAPI labels the nuclei. Scale bars: 50 μm.

DOI: http://dx.doi.org/10.7554/eLife.05151.020

Discussion

By utilizing four GEM models, we have identified essential roles of Nf1 tumor suppressor gene during early, but not late stages of cerebellar development. Mechanistically, Nf1 is required for the formation of the BG monolayer and scaffold by controlling astrocyte precursor proliferation at a specific precursor stage, but dispensable for BG cells during late stages of cerebellar development and adulthood. Similarly, Nf1 indirectly regulates glutamatergic neuronal migration by controlling the timely differentiation and suppressing ectopic UBC differentiation of GCPs during postnatal cerebellar development. The timely requirement of Nf1 during cerebellar development allows us to develop a therapeutic prevention strategy for treating these developmental disorders with long-term behavioral benefits.

Nf1 regulates astrocyte proliferation at a specific precursor stage

Astrocytes, the most abundant cells in the brain, play diverse roles in both the developing and mature brain (Barres, 2008; Molofsky et al., 2012; Freeman and Rowitch, 2013). Compared to the other two major CNS cell types, neurons and oligodendrocytes, the identity of astrocyte precursors remains poorly understood. This is largely due to a lack of known markers that can reliably define astrocytes at distinct developmental stages (Molofsky et al., 2012; Freeman and Rowitch, 2013). BG cells have a unique and well-defined migratory pathway coupled with differentiation that allows us to define the role of Nf1 in this particular astrocyte lineage at different developmental stages (Buffo and Rossi, 2013). Before becoming terminally differentiated in the PC/BG monolayer, BG precursors proliferate at three distinct stages of differentiation that can be distinguished by different anatomical locations during development (Figure 8D). These three stages include: Stage I, RG/early-precursor stage in the IV-VZ; Stage II, BG intermediate-precursor stage in the PWM; Stage III, BG late-precursor stage in the rudimentary PC/BG layer. In the Nf1hGFAPCKO cerebellum, increased proliferation was not observed in E17.5 IV-VZ RG cells (Stage I), or in BG late-precursors following migration into the rudimentary PC/BG layer in P0.5 anterior folia, or throughout P8 folia (Stage III). In contrast, a significant increase of proliferation index was specifically identified in Nf1-deficient BG intermediate-precursors in the E17.5 PWM and P0.5 posterior folia (Stage II), leading to an increased number of both total BLBP+ and proliferating BLBP+Ki67+ cells. These observations suggest that Nf1 plays a robust role in constraining BG proliferation specifically at an intermediate precursor stage (Stage II), but not during earlier or later stages (Stage I or Stage III). This conclusion is further confirmed by acute inactivation of Nf1 in the E17.5 developing cerebellum using an inducible Nf1NCreERCKO model. Thus, the temporal and regional phenotypic differences upon Nf1 loss observed in the BG lineage can be strictly attributed to differences in the differentiation status of this particular astrocyte lineage. Moreover, Nf1-deficient astrocytes in the developing WM also exhibited increased proliferation. Since gliogenesis occurs at different time points in different regions of the developing brain, this ‘differentiation-based’ model might provide an explanation for conflicting results on the role of Nf1 in neural stem and progenitor cells among previously published studies (Dasgupta and Gutmann, 2005; Zhu et al., 2005; Hegedus et al., 2007; Becher and Holland, 2010; Lee da et al., 2010; Lee da et al., 2012; Wang et al., 2012). It should be noted that region-specific mechanisms underlying glial pathologies induced by Nf1 loss do exist within the dorsal brain. While increased proliferation in Nf1-deficient astrocyte precursors appears to be responsible for the increase of glial cells in the dorsal hindbrain (e.g., cerebellum), altered fate-specification of Nf1-deficient neural stem and progenitor cells in the subventricular zone (SVZ) of the lateral ventricle causes the increase of glial cells in the corpus callosum by promoting gliogenesis at the expense of neurogenesis in the olfactory bulb (Wang et al., 2012).

It is not entirely clear why Nf1 plays a critical role in suppressing astrocyte proliferation at a specific precursor stage. Loss of function studies in mice have shown that receptor tyrosine kinase (RTK) signaling, particularly fibroblast growth factor receptor (FGFR) signaling, is essential for the transition from RG to BG cells (Lin et al., 2009; Muller Smith et al., 2012; Meier et al., 2014). Most strikingly, loss of Shp2, also known as Ptpn11 (Protein tyrosine phosphatase non-receptor type 11), completely blocks the transition from RG to BG cells, which can be rescued by constitutively active MEK (Li et al., 2014). These studies suggest that activation of Shp2-dependent FGF/MEK/Erk signaling is essential for the transition from RG to BG cells during cerebellar development (from Stage I to II). Accordingly, our study suggests that Erk signaling must be constrained by pathway inhibitors such as Nf1 to ensure the generation of the correct number of BG cells. Consistently, the most robust Erk/MAPK activation upon Nf1 loss was observed in astrocyte precursors at Stage II and early Stage III (Figure 8E).

Glia-dependent and –independent Nf1 functions in glutamatergic interneurons

Our study provides several lines of evidence supporting the notion that the correct number of astrocytes is essential for the formation of the PC/BG monolayer and the BG scaffold, and subsequently glutamatergic interneuronal migration. First, in the Nf1hGFAPCKO cerebellum, the severity of glial and neuronal defects is not uniform, but highly correlated with the excess number of BG cells in the affected areas. Indeed, the capacity of Nf1-deficient BG cells to extend their radial fibers appeared relatively uncompromised even for those projected from the areas outside of the PC/BG layer. Second, considering the time required for TM induced, Cre-mediated Nf1 deletion at E17.5 and the half-life of neurofibromin protein, we expect that a complete loss of Nf1 would be fully achieved in targeted cells around P0.5 when BG cells in the anterior folia (I–V) are at Stage III, while BG cells in the posterior folia (IX and X) are still proliferating in the PWM at Stage II. Consistently, a significant increase of Nf1-deficient BG cells was observed in the posterior folia (IX, X), but not in the anterior folia of the same Nf1NCreERCKO cerebellum. Moreover, failed formation of the PC/BG monolayer, misalignment of the BG scaffold, and abnormal accumulation of both Nf1-intact and Nf1-deficient neurons in the ML were only observed in the posterior folia of the E17.5 TM-induced Nf1NCreERCKO cerebellum. It should be noted that glial and neuronal defects in the posterior folia of the E17.5 TM-induced Nf1NCreERCKO cerebellum are significantly less severe than those observed in the Nf1hGFAPCKO cerebellum. This is likely due to a relatively greater window for the expansion of Nf1-deficient glial precursors in the Nf1hGFAPCKO cerebellum (from E12.5 on) than E17.5 TM-induced Nf1NCreERCKO cerebellum. Third, transient treatment of MEKi exhibited a robust long-term rescue of glial and neuronal defects in the cerebella of G-responders in which neurons and glia were still deficient for Nf1 after the treatment. Taken together, these results suggest that as long as the excess number of glia is therapeutically fixed during a specific window of cerebellar development, a long-term rescue could be achieved, as Nf1 is relatively dispensable for glial cell proliferation during late stages of development and adulthood.

Our study also shows that the correct number of astrocytes in the developing WM of the cerebellum is essential for the migration of UBCs from the PWM to the IGL. This neuronal migratory defect appears to result from loss of a non-cell-autonomous Nf1 function in glial cells. This conclusion is based on the observations that (1) neuron-specific Nf1Math1CKO cerebellum exhibited no such defect in the WM, and (2) Nf1-intact UBCs were arrested in the WM of the E17.5 TM-induced Nf1NCreERCKO cerebellum where excess astrocytes were present. Furthermore, the migratory defect of UBCs was completely rescued in the transiently MEKi-treated cerebella of G-responders, which contained a relatively normal number of glial cells. Together, our study demonstrates that Nf1 not only plays a critical role in suppressing neoplastic transformation of glial cells, but also is essential for controlling the generation of the correct number of normal astrocytes—which is required for the migration of both types of glutamatergic interneurons (GCs and UBCs) during cerebellar development.

Analysis of the neuron-specific Nf1Math1CKO cerebellum supports the existence of two UBC sublineages. One UBC sublineage characterized by Tbr2highNeuN is relatively well studied, which exit cell cycles during perinatal stages and migrate from the RL via the PWM to the IGL (Englund et al., 2006; Mugnaini et al., 2011). Although Nf1-regulated glial number is essential for the migration of this UBC sublineage through the PWM, Nf1 is not required for the generation and migration of the Tbr2highNeuN UBC sublineage. In contrast, the other rare Tbr2+NeuN+ UBC sublineage appears to be suppressed by Nf1-regulated Erk signaling in GCPs in a cell-autonomous mechanism. Thus, our study demonstrates that Nf1 is indirectly required for GC migration by suppressing GCPs to undergo premature terminal differentiation and ectopic differentiation to Tbr2+NeuN+ UBCs in the EGL and ML. It is still possible that Nf1 loss causes abnormal migration of the Tbr2highNeuN sublineage from the RL to the EGL, and then switches them to the Tbr2+NeuN+ UBC sublineage in the EGL. However, no Tbr2+ cells were found in the EGL of the mutant cerebellum at E17.5 or P0.5, when Tbr2highNeuN UBCs migrate out of the RL into the PWM (Figure 5—figure supplement 2C,C′). This observation argues against the possibility of abnormal migration of Tbr2highNeuN UBCs into the EGL. Indeed, Nf1 loss has little or no impact on the generation, migration and total number of Tbr2highNeuN UBCs in the mutant cerebellum. Furthermore, in contrast to the precursors of Tbr2highNeuN UBCs that exit cell cycles during perinatal stages, Nf1-deficient precursors of Tbr2+NeuN+ UBCs continue proliferating in the EGL at least until P8 at the peak of GCP proliferation. Together, these observations suggest that Nf1 plays a specific role in the Tbr2+NeuN+ UBC sublineage by controlling the fate-specification of GCPs in differentiating into GCs vs Tbr2+NeuN+ UBCs. The involvement of UBCs in cerebellar vestibular functions raises the possibility that the UBC defects in these Nf1 GEM models could contribute to the impairments of motor and balance observed in individuals with NF1 (Mugnaini et al., 2011; Champion et al., 2014).

Clinical implications

Our previous study showed that MEKi could be delivered to neonatal pups through milk from MEKi-treated lactating females (Wang et al., 2012). This ‘MEKi in milk’ treatment protocol allows a low dose of MEKi to get into pups without introducing any physical distress. When lactating females received MEKi at 5 mg/kg (body weight), a mild 30–40% of Erk inhibition was observed in the brains of Nf1hGFAPCKO pups (MB, EJ and YZ, unpublished observations). Strikingly, this mild Erk inhibition robustly and consistently rescued developmental defects in the cerebella of 100% of MEKi-treated Nf1Math1CKO mice, as well as over 60% of the MEKi-treated Nf1hGFAPCKO mice (G-responders). It should be noted that the remaining P-responders are not ‘non-responders’, as these MEKi-treated Nf1hGFAPCKO mice still exhibited a complete rescue of ectopic Tbr2 expression in their cerebella, and consistent rescues in the defects in the corpus callosum and SVZ, as described previously (Wang et al., 2012). The inconsistent rescue in the glia-dependent defects observed in the cerebella of MEKi-treated Nf1hGFAPCKO mice is likely due to the extremely high levels of Erk activation in Nf1-deficient glial cells in the developing cerebellum compared to other cells. Indeed, when the dose of MEKi was increased to 20 mg/kg, a more consistent rescue in cerebellar defects was observed in the cerebella of the MEKi-treated Nf1hGFAPCKO mice (Figure 7F). More importantly, this ‘MEKi in milk’ treatment protocol provides robust long-term rescues on cerebellar developmental defects and motor performance. It should be emphasized that this transient MEKi treatment protocol also rescued structural defects in the other regions of the Nf1hGFAPCKO brain including the enlarged corpus callosum, a brain structural defect associated with severe cognitive impairments in a subset of NF1 patients (Wang et al., 2012). Thus, motor performance improvement by this protocol is a collective reflection of rescues of multiple NF1-associated brain structural defects including those in the cerebellum and corpus callosum. Given that cognitive and motor impairments are often co-morbidities in children with NF1 (Champion et al., 2014), our findings suggest that this transient ‘MEKi in milk’ protocol can serve as a common prevention strategy for multiple NF1-associated neurodevelopmental disorders.

Materials and methods

Control and mutant mice

Three independent Cre transgenic strains under the control of hGFAP, Math1 and L7 promoters were utilized to target an Nf1 mutation into different cell lineages during cerebellar development. The control mice for Nf1hGFAPCKO mice are a pool of phenotypically indistinguishable mice: hGFAP-cre-;Nf1flox/flox, hGFAP-cre−;Nf1flox/+ and hGFAP-cre+;Nf1flox/+. The control mice with similar genetic configurations were used for Nf1Math1CKO and Nf1L7CKO mice. All the CKO mice have genotypes of Cre+;Nf1flox/flox. Nf1hGFAPCKO, Nf1Math1CKO, Nf1L7CKO and control mice were maintained in the mixed backgrounds of C57Bl6, 129Svj and FVB, which improved overall health and lifespan of Nf1hGFAPCKO mice. Age- and littermate-matched control and mutant mice were used for analysis. Tamoxifen inducible strain Nf1NcreERCKO is described in later sections along with the tamoxifen administration protocol. All mice in this study were cared for according to the guidelines that were approved by the Animal Care and Use Committees of the University of Michigan at Ann Arbor, MI and the Children's National Medical Center in Washington, DC.

MEK inhibitor treatment

MEK inhibitor (MEKi, PD0325901, Sigma-Aldrich, St. Louis, MO) was dissolved in DMSO at a concentration of 25 mg/ml and resuspended in vehicle (0.5% hydroxypropyl methyl-cellulose with 0.2% Tween80, Sigma-Aldrich) at a concentration of 1 mg/ml. The solution was administered by oral gavage at the dosage of 5 mg/kg or 20 mg/kg (body weight) daily to lactating females for the treatment of P0.5–P21 mice. MEKi-treated mice were collected and compared to littermate control mice and vehicle-treated Nf1hGFAPCKO and Nf1Math1CKO mice.

Tissue preparation and histological analysis

Both paraffin and frozen sections were utilized for histological analysis. Control and mutant littermates at various time points were perfused with Phosphate buffered saline (PBS) followed by 4% paraformaldehyde (PFA) (Sigma-Aldrich). Brains were divided into two hemispheres along the midline and each hemisphere was processed for either frozen blocks (for in situ hybridization and X-gal staining, see below) or paraffin-embedded blocks. For paraffin sections, brains were dissected and post-fixed in 4% PFA overnight at 4°C. Fixed brains were sagittally sectioned at 5 μm thickness. Slides from histologically comparable positions were stained by hematoxylin and eosin (H&E) and imaged with a light microscope (Olympus BX51, Olympus America Inc., Center Valley, PA).

Immunohistochemistry and immunofluorescence

Immunohistochemistry was performed on paraffin sections as previously described (Wang et al., 2009). The visualization of primary antibodies was performed with the avidin-biotin horseradish peroxidase system (Vectastain ABC kit, Vector Labs, Burlingame, CA). The dilutions of primary antibodies used on paraffin sections in this study were: BLBP (1:2000, rabbit, a kind gift from Dr. Todd Anthony), Calbindin (1:1000, mouse, Sigma-Aldrich), GFAP (1:2000, rabbit, DAKO, Carpinteria, CA) and BrdU (1:1000, rat, Abcam, Cambridge, MA). Immunofluorescence was performed on both paraffin and frozen sections. Primary antibodies were visualized by Cy2 (or Alexa 488), Cy3 (or Alexa 555) and Cy5 (or Alexa 647)-conjugated secondary antibodies (1:200, Cy2/Cy3/Cy5, Jackson Immunoresearch, West Grove, PA; 1:400, Alexa 488/555/647, Invitrogen, Grand Island, NY). The dilutions of primary antibodies used in this study were as follows: GFAP (1:2000, mouse, BD Pharmingen, San Jose, CA), GFAP (1:2000, rabbit, DAKO), NeuN (1:400, mouse, Millipore, Billerica, MA), BLBP (1:500, rabbit, a gift from Nathaniel Heintz), Calbindin (1:1000, mouse, Sigma-Aldrich), GABARα6 (1:500, rabbit, Millipore), BrdU (1:1000, rat, Abcam), Ki-67 (1:500, mouse, BD Pharmingen), Tbr2 (1:1000, rabbit, Abcam), Calretinin (1:1000, mouse, Millipore), MAP2 (1:1000, mouse, Sigma-Aldrich), P27 (1:250, rabbit, Santa Cruz Biotechnology, Dallas, TX), β-gal (1:1000, rabbit, 5 prime-3 prime, Gaithersburg, MD), β-gal (1:3000, chicken, Abcam), p-Erk (1:200, rabbit, Cell Signaling, Beverly, MA), p-S6 (1:1000, rabbit, Cell Signaling). Sections were examined under a light/fluorescence microscope (Olympus BX51).

In situ hybridization

Brains were removed immediately after decapitation, frozen in a bed of crushed dry ice, sectioned in a sagittal plane at 14 µm with a cryostat, mounted on RNase-free slides, and treated with 4% paraformaldehyde, and incubated in 0.1 M triethanolamine with acetic anhydrate. Radioactive riboprobes were synthesized from template DNA and labeled by S35-UTP. For hybridization, an 800 bp Math1 antisense probe was made from a plasmid pLA1-HindIII containing 600 bp of the Math1-coding region and approximately 200 bp of the 5′-flanking sequence (Helms and Johnson, 1998). The Zic1 antisense probe was a 690-bp XhoI–SalI segment from the mouse Zic1 cDNA (Aruga et al., 1994). After hybridization, slides were dipped in photographic emulsion, counterstained, dehydrated and cover-slipped. Tissue were visualized and photographed with darkfield using an Olympus BX51 microscope. Detailed protocol was described previously (Martin-Zanca et al., 1990).

Tamoxifen administration in Nestin-creER inducible mice

Tamoxifen (Sigma-Aldrich) was dissolved in corn oil (Sigma-Aldrich) at a concentration of 20 mg/ml and stored at −20°C. Pregnant female mice were intra-peritoneal (IP) injected once with tamoxifen at a dosage of 100 μg/g body weight at E17.5. Their offspring carrying Nestin-creER transgene were collected at P21 for analysis. Nestin-creER+; Nf1flox/+; R26LacZR mice were used as controls and Nestin-creER+; Nf1flox/flox; R26LacZR mice were used as mutants (Nf1NcreERCKO).

X-gal staining

The R26LacZR allele was introduced to the control, Nf1hGFAPCKO, Nf1Math1CKO, Nf1L7CKO and Nf1NcreERCKO mice as a reporter to monitor Cre-mediated recombination. Dissected brains were prepared for frozen sections and sliced at 12 μm and subjected to X-gal staining for 1 hr to overnight, according to the signal intensity. X-gal staining was performed as described previously (Zhu et al., 1998, 2001). Co-localization of β-gal expressing cells with other lineage markers was obtained by double immunofluorescence labeling with anti-β-gal antibody.

Golgi staining

Brains from P8 mice were dissected and subjected to Golgi staining for 10 days using a previously published protocol (Glaser and Van der Loos, 1981). Brains were then sagittally sectioned at 50 μm on a vibrotome and mounted on slides (Leica, Germany). Sections were then developed in the darkroom (20 min 20% Ammonium hydroxide, Sigma-Aldrich + 10 min 20% Kodak fixer, Kodak, Rochester, NY) and dehydrated in ethanol and xylene.

BrdU assay

Neonatal mice received a single injection of 50 μg/g (gram, body weight) BrdU (Sigma-Aldrich). For proliferation assay, mice were perfused with 4% PFA 2 hr after the last pulse. For cell cycle and differentiation assay, neonatal mice were injected with BrdU 24, 32 and 48 hr prior to analysis at P8. For P8–P18 BrdU differentiation assay, mice were sacrificed 10 days after the initial pulse. In both assays, brains were dissected and processed for paraffin-embedded sections. BrdU immunofluorescence was performed as described previously (Wang et al., 2009).

Neuron/glia co-culture, granule cell trans-well migration assay, and in vitro granule cell differentiation assay

Cerebella from P6 control and Nf1Math1CKO were dissected and dissociated into single-cell suspension using a previously published protocol (Lee et al., 2009). Granule cells and glia were separated and cultured differently. For neuron/glia co-cultures, cultured glial cells were released by trypsination. Following trypsin inhibition, glial cells were counted, spun down, re-suspended in culture medium, and added to 1-day-old cultures of purified cerebellar neurons at a ratio of 2:1. Trans-well migration assay was performed as described previously (Watkins and Sontheimer, 2011) with the following modifications. Millicell cell culture inserts (Millipore) were placed into 24-well culture plate (Corning Inc., Corning, NY) and granule cells (5.0 × 103) were added in each upper inserts. The bottom wells contained 10 μg/ml fibronectin as chemo-attractant. They were then incubated for 4 hr in a 37°C humidified CO2 incubator. At the end of the experiment, remaining cells in the well (top) were stripped with Q-tips. Cells on the opposite side (bottom) of the insert membrane were fixed with 4% PFA for 30 min and stained with DAPI. The number of cells migrated through the membrane was counted based on high-power images of membranes and the average cell number of 5 areas (up, down left, right, center) and was subjected to statistical analysis. For in vitro differentiation assay, dissociated cerebellar granule cell progenitors were plated on Poly-D-Lysine-coated cell culture plates in growth media without EGF and FGF. Cells were fixed after 72 hr and stained for MAP2 and DAPI. Both trans-well migration assay and in vitro differentiation assay were repeated with cells obtained from at least three mice.

Western blot analysis

Snap-frozen tissues were homogenized in lysis buffer for 20 min on ice and subjected to centrifugation at 14,000 rpm for 10 min at 4°C. Equal amounts of protein samples were mixed with 1X SDS loading buffer [50 mM Tris-HCL (pH6.8), 2% SDS, 0.05% bromophenol blue, 10% glycerol, 100 mM β-mercaptoethanol] (Biorad, Hercules, CA). Samples were separated on SDS-PAGE gel and transferred onto NC membranes (Millipore). The blots were then blocked in 5% non-fat milk in TBST, followed by incubation of primary antibodies at 4°C overnight. After washing, the blots were incubated in horseradish peroxidase (HRP)-conjugated secondary antibodies at room temperature for 1 hr. Signals were detected using ECL or ECL plus (GE healthcare, UK) followed by film development. The primary antibodies used were as follows: p-Erk, Erk, p-S6, S6, p-Akt, Akt (1:1000, rabbit, Cell Signaling) and Nf1 (1:1000, rabbit, Upstate, Lake Placid, NY).

Rapamycin treatment

Rapamycin (Millipore) was dissolved in 100% sterile-filtered ethanol at a concentration of 10 mg/ml and resuspended in vehicle (5.2% PEG400 with 5.2% Tween80, Sigma-Aldrich) at a final concentration of 0.4 mg/ml. The solution was administered by intraperitoneal injection at the dosage of 4 mg/kg (body weight) every other day from P0.5–P21. Rapamycin-treated mice were collected and compared to littermate control and Nf1hGFAPCKO mice treated with vehicle.

Rotarod test

Motor function and motor learning were evaluated by rotarod apparatus. 1 hr before the rotarod test, mice were transferred from the holding room to the experimental room. Mice were tested for 4 consecutive days at P21–P24 and P45–P49. The speed of the rotarod was constantly accelerated from 4 to 34 rpm over a 5-min period. The latency to fall from the rod was recorded. The test was stopped at 12 min.

Quantification and statistical analysis

Anatomically comparable sections from control and mutant brains were visualized under an Olympus BX51 microscope. Images were captured and subjected to analysis. Lengths, areas and the number of cells were quantified using the ImageJ software package. Statistical analysis was carried out using unpaired two-tailed Student's t-test. Comparisons across more than two groups were based on Anova test. At least three animals from each group were used for quantification. Data were presented as mean ± Standard Error Mean (SEM). p < 0.05 was considered to be statistically significant.

When quantifying cells in specific folia, we used the following criteria to define the areas to quantify. ‘Folia V/IV’ refers to the junction between folia V and IV at 20× magnification (i.e., Figure 1A middle panels) and the quantification covered this entire area. Similarly, ‘Folia IX/X’ refers to the junction between folia IX and X at 20× magnification (i.e., Figure 5—figure supplement 2A). ‘Folium V’ or ‘Folium X’ refers to 40× images in these folia close to the center of the cerebellum that were imaged at comparable positions in controls and mutants.

Acknowledgements

We thank Dr L Parada for support during the early phase of the study; G Tomasek for technical assistance; members of the Zhu lab for support; Drs A Messing for providing hGFAP-cre mice, D Rowitch for Math1-cre mice, L Chang for Nestin-creER mice, N Heintz for BLBP antibody, B Novitch for Olig2 antibody; Drs R Packer, C Wang, and J Guan for critically reading the manuscript. This work is supported by grants from the DOD (W81XWH-11-1-0251), NIH/NINDS (1R01 NS053900 and 1R01 NS073762) and NIH/NCI (1U54 CA168512-01) (YZ).

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Funding Information

This paper was supported by the following grants:

  • U.S. Department of Defense W81XWH-11-1-0251 to Yuan Zhu.

  • National Institutes of Health 1R01 NS053900, 1R01 NS073762 to Yuan Zhu.

  • National Cancer Institute 1U54 CA168512-01 to Yuan Zhu.

Additional information

Competing interests

The authors declare that no competing interests exist.

Author contributions

EK, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article.

YW, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article.

S-JK, Acquisition of data, Analysis and interpretation of data.

GGM, Acquisition of data, Analysis and interpretation of data.

MB, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article.

ESJ, Acquisition of data, Drafting or revising the article, Contributed unpublished essential data or reagents.

TEA, Conception and design, Analysis and interpretation of data, Contributed unpublished essential data or reagents.

CW, Acquisition of data, Analysis and interpretation of data, Contributed unpublished essential data or reagents.

YEL, Acquisition of data, Analysis and interpretation of data, Contributed unpublished essential data or reagents.

J-LG, Acquisition of data, Analysis and interpretation of data, Contributed unpublished essential data or reagents.

YZ, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article, Contributed unpublished essential data or reagents.

Ethics

Animal experimentation: All mice in this study were cared for according to the guidelines that were approved by the Animal Care and Use Committees of the University of Michigan at Ann Arbor, MI and the Children's National Medical Center in Washington, DC. The approved protocol number at the University of Michigan is PRO00004481. The project (ID# 30001543) was approved by the IACUC (Protocol#: 309-13-09) of the Children's National Medical Center at Washington.

References

  1. Adviento B, Corbin IL, Widjaja F, Desachy G, Enrique N, Rosser T, Risi S, Marco EJ, Hendren RL, Bearden CE, Rauen KA, Weiss LA. Autism traits in the RASopathies. Journal of Medical Genetics. 2014;51:10–20. doi: 10.1136/jmedgenet-2013-101951. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Aruga J, Yokota N, Hashimoto M, Furuichi T, Fukuda M, Mikoshiba K. A novel zinc finger protein, zic, is involved in neurogenesis, especially in the cell lineage of cerebellar granule cells. Journal of Neurochemistry. 1994;63:1880–1890. doi: 10.1046/j.1471-4159.1994.63051880.x. [DOI] [PubMed] [Google Scholar]
  3. Bailey A, Luthert P, Dean A, Harding B, Janota I, Montgomery M, Rutter M, Lantos P. A clinicopathological study of autism. Brain. 1998;121:889–905. doi: 10.1093/brain/121.5.889. [DOI] [PubMed] [Google Scholar]
  4. Barres BA. The mystery and magic of glia: a perspective on their roles in health and disease. Neuron. 2008;60:430–440. doi: 10.1016/j.neuron.2008.10.013. [DOI] [PubMed] [Google Scholar]
  5. Basson MA, Wingate RJ. Congenital hypoplasia of the cerebellum: developmental causes and behavioral consequences. Frontiers in Neuroanatomy. 2013;7:29. doi: 10.3389/fnana.2013.00029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Becher OJ, Holland EC. Evidence for and against regional differences in neural stem and progenitor cells of the CNS. Genes & Development. 2010;24:2233–2238. doi: 10.1101/gad.1988010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Bloss CS, Courchesne E. MRI neuroanatomy in young girls with autism: a preliminary study. Journal of the American Academy of Child and Adolescent Psychiatry. 2007;46:515–523. doi: 10.1097/chi.0b013e318030e28b. [DOI] [PubMed] [Google Scholar]
  8. Buffo A, Rossi F. Origin, lineage and function of cerebellar glia. Progress in Neurobiology. 2013;109:42–63. doi: 10.1016/j.pneurobio.2013.08.001. [DOI] [PubMed] [Google Scholar]
  9. Burns KA, Ayoub AE, Breunig JJ, Adhami F, Weng WL, Colbert MC, Rakic P, Kuan CY. Nestin-CreER mice reveal DNA synthesis by nonapoptotic neurons following cerebral ischemia hypoxia. Cerebral Cortex. 2007;17:2585–2592. doi: 10.1093/cercor/bhl164. [DOI] [PubMed] [Google Scholar]
  10. Champion JA, Rose KJ, Payne JM, Burns J, North KN. Relationship between cognitive dysfunction, gait, and motor impairment in children and adolescents with neurofibromatosis type 1. Developmental Medicine and Child Neurology. 2014;56:468–474. doi: 10.1111/dmcn.12361. [DOI] [PubMed] [Google Scholar]
  11. Cichowski K, Jacks T. NF1 tumor suppressor gene function: narrowing the GAP. Cell. 2001;104:593–604. doi: 10.1016/S0092-8674(01)00245-8. [DOI] [PubMed] [Google Scholar]
  12. Courchesne E, Karns CM, Davis HR, Ziccardi R, Carper RA, Tigue ZD, Chisum HJ, Moses P, Pierce K, Lord C, Lincoln AJ, Pizzo S, Schreibman L, Haas RH, Akshoomoff NA, Courchesne RY. Unusual brain growth patterns in early life in patients with autistic disorder: an MRI study. Neurology. 2001;57:245–254. doi: 10.1212/WNL.57.2.245. [DOI] [PubMed] [Google Scholar]
  13. Dasgupta B, Gutmann DH. Neurofibromin regulates neural stem cell proliferation, survival, and astroglial differentiation in vitro and in vivo. The Journal of Neuroscience. 2005;25:5584–5594. doi: 10.1523/JNEUROSCI.4693-04.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Englund C, Fink A, Lau C, Pham D, Daza RA, Bulfone A, Kowalczyk T, Hevner RF. Pax6, Tbr2, and Tbr1 are expressed sequentially by radial glia, intermediate progenitor cells, and postmitotic neurons in developing neocortex. The Journal of Neuroscience. 2005;25:247–251. doi: 10.1523/JNEUROSCI.2899-04.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Englund C, Kowalczyk T, Daza RA, Dagan A, Lau C, Rose MF, Hevner RF. Unipolar brush cells of the cerebellum are produced in the rhombic lip and migrate through developing white matter. The Journal of Neuroscience. 2006;26:9184–9195. doi: 10.1523/JNEUROSCI.1610-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Evans DG, Howard E, Giblin C, Clancy T, Spencer H, Huson SM, Lalloo F. Birth incidence and prevalence of tumor-prone syndromes: estimates from a UK family genetic register service. American Journal of Medical Genetics. Part A. 2010;152A:327–332. doi: 10.1002/ajmg.a.33139. [DOI] [PubMed] [Google Scholar]
  17. Fatemi SH, Aldinger KA, Ashwood P, Bauman ML, Blaha CD, Blatt GJ, Chauhan A, Chauhan V, Dager SR, Dickson PE, Estes AM, Goldowitz D, Heck DH, Kemper TL, King BH, Martin LA, Millen KJ, Mittleman G, Mosconi MW, Persico AM, Sweeney JA, Webb SJ, Welsh JP. Consensus paper: pathological role of the cerebellum in autism. The Cerebellum. 2012;11:777–807. doi: 10.1007/s12311-012-0355-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Feldmann R, Schuierer G, Wessel A, Neveling N, Weglage J. Development of MRI T2 hyperintensities and cognitive functioning in patients with neurofibromatosis type 1. Acta Paediatrica. 2010;99:1657–1660. doi: 10.1111/j.1651-2227.2010.01923.x. [DOI] [PubMed] [Google Scholar]
  19. Fogarty MP, Emmenegger BA, Grasfeder LL, Oliver TG, Wechsler-Reya RJ. Fibroblast growth factor blocks Sonic hedgehog signaling in neuronal precursors and tumor cells. Proceedings of the National Academy of Sciences of USA. 2007;104:2973–2978. doi: 10.1073/pnas.0605770104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Freeman MR, Rowitch DH. Evolving concepts of gliogenesis: a look way back and ahead to the next 25 years. Neuron. 2013;80:613–623. doi: 10.1016/j.neuron.2013.10.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Garg S, Green J, Leadbitter K, Emsley R, Lehtonen A, Evans DG, Huson SM. Neurofibromatosis type 1 and autism spectrum disorder. Pediatrics. 2013a;132:e1642–e1648. doi: 10.1542/peds.2013-1868. [DOI] [PubMed] [Google Scholar]
  22. Garg S, Lehtonen A, Huson SM, Emsley R, Trump D, Evans DG, Green J. Autism and other psychiatric comorbidity in neurofibromatosis type 1: evidence from a population-based study. Developmental Medicine and Child Neurology. 2013b;55:139–145. doi: 10.1111/dmcn.12043. [DOI] [PubMed] [Google Scholar]
  23. Glaser EM, Van der Loos H. Analysis of thick brain sections by obverse-reverse computer microscopy: application of a new, high clarity Golgi-Nissl stain. Journal of Neuroscience Methods. 1981;4:117–125. doi: 10.1016/0165-0270(81)90045-5. [DOI] [PubMed] [Google Scholar]
  24. Grimaldi P, Parras C, Guillemot F, Rossi F, Wassef M. Origins and control of the differentiation of inhibitory interneurons and glia in the cerebellum. Developmental Biology. 2009;328:422–433. doi: 10.1016/j.ydbio.2009.02.008. [DOI] [PubMed] [Google Scholar]
  25. Guertin DA, Sabatini DM. The pharmacology of mTOR inhibition. Science Signaling. 2009;2:pe24. doi: 10.1126/scisignal.267pe24. [DOI] [PubMed] [Google Scholar]
  26. Hatten ME. Central nervous system neuronal migration. Annual Review of Neuroscience. 1999;22:511–539. doi: 10.1146/annurev.neuro.22.1.511. [DOI] [PubMed] [Google Scholar]
  27. Hegedus B, Dasgupta B, Shin JE, Emnett RJ, Hart-Mahon EK, Elghazi L, Bernal-Mizrachi E, Gutmann DH. Neurofibromatosis-1 regulates neuronal and glial cell differentiation from neuroglial progenitors in vivo by both cAMP- and Ras-dependent mechanisms. Cell Stem Cell. 2007;1:443–457. doi: 10.1016/j.stem.2007.07.008. [DOI] [PubMed] [Google Scholar]
  28. Helms AW, Johnson JE. Progenitors of dorsal commissural interneurons are defined by MATH1 expression. Development. 1998;125:919–928. doi: 10.1242/dev.125.5.919. [DOI] [PubMed] [Google Scholar]
  29. Hyman SL, Arthur Shores E, North KN. Learning disabilities in children with neurofibromatosis type 1: subtypes, cognitive profile, and attention-deficit-hyperactivity disorder. Developmental Medicine and Child Neurology. 2006;48:973–977. doi: 10.1017/S0012162206002131. [DOI] [PubMed] [Google Scholar]
  30. Hyman SL, Shores A, North KN. The nature and frequency of cognitive deficits in children with neurofibromatosis type 1. Neurology. 2005;65:1037–1044. doi: 10.1212/01.wnl.0000179303.72345.ce. [DOI] [PubMed] [Google Scholar]
  31. Johnson BA, Macwilliams BA, Carey JC, Viskochil DH, D'astous JL, Stevenson DA. Motor proficiency in children with neurofibromatosis type 1. Pediatric Physical Therapy. 2010;22:344–348. doi: 10.1097/PEP.0b013e3181f9dbc8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Krab LC, de Goede-Bolder A, Aarsen FK, Moll HA, De Zeeuw CI, Elgersma Y, van der Geest JN. Motor learning in children with neurofibromatosis type I. The cerebellum. 2011;10:14–21. doi: 10.1007/s12311-010-0217-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Lee HY, Greene LA, Mason CA, Manzini MC. Isolation and culture of post-natal mouse cerebellar granule neuron progenitor cells and neurons. Journal of Visualized Experiments. 2009 doi: 10.3791/990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Lee da Y, Gianino SM, Gutmann DH. Innate neural stem cell heterogeneity determines the patterning of glioma formation in children. Cancer Cell. 2012;22:131–138. doi: 10.1016/j.ccr.2012.05.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Lee da Y, Yeh TH, Emnett RJ, White CR, Gutmann DH. Neurofibromatosis-1 regulates neuroglial progenitor proliferation and glial differentiation in a brain region-specific manner. Genes & Development. 2010;24:2317–2329. doi: 10.1101/gad.1957110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Lehtonen A, Howie E, Trump D, Huson SM. Behaviour in children with neurofibromatosis type 1: cognition, executive function, attention, emotion, and social competence. Developmental Medicine and Child Neurology. 2013;55:111–125. doi: 10.1111/j.1469-8749.2012.04399.x. [DOI] [PubMed] [Google Scholar]
  37. Li K, Leung AW, Guo Q, Yang W, Li JY. Shp2-dependent ERK signaling is essential for induction of Bergmann glia and foliation of the cerebellum. The Journal of Neuroscience. 2014;34:922–931. doi: 10.1523/JNEUROSCI.3476-13.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Lin Y, Chen L, Lin C, Luo Y, Tsai RY, Wang F. Neuron-derived FGF9 is essential for scaffold formation of Bergmann radial fibers and migration of granule neurons in the cerebellum. Developmental Biology. 2009;329:44–54. doi: 10.1016/j.ydbio.2009.02.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Lorenzo J, Barton B, Acosta MT, North K. Mental, motor, and language development of toddlers with neurofibromatosis type 1. The Journal of Pediatrics. 2011;158:660–665. doi: 10.1016/j.jpeds.2010.10.001. [DOI] [PubMed] [Google Scholar]
  40. Martin-Zanca D, Barbacid M, Parada LF. Expression of the trk proto-oncogene is restricted to the sensory cranial and spinal ganglia of neural crest origin in mouse development. Genes & Development. 1990;4:683–694. doi: 10.1101/gad.4.5.683. [DOI] [PubMed] [Google Scholar]
  41. Mecklenburg N, Garcia-López R, Puelles E, Sotelo C, Martinez S. Cerebellar oligodendroglial cells have a mesencephalic origin. Glia. 2011;59:1946–1957. doi: 10.1002/glia.21236. [DOI] [PubMed] [Google Scholar]
  42. Meier F, Giesert F, Delic S, Faus-Kessler T, Matheus F, Simeone A, Holter SM, Kuhn R, Weisenhorn DM, Wurst W, Prakash N. FGF/FGFR2 signaling regulates the generation and correct positioning of bergmann glia cells in the developing mouse cerebellum. PLOS ONE. 2014;9:e101124. doi: 10.1371/journal.pone.0101124. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Mendoza MC, Er EE, Blenis J. The Ras-ERK and PI3K-mTOR pathways: cross-talk and compensation. Trends in Biochemical Sciences. 2011;36:320–328. doi: 10.1016/j.tibs.2011.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Molofsky AV, Krencik R, Ullian EM, Tsai HH, Deneen B, Richardson WD, Barres BA, Rowitch DH. Astrocytes and disease: a neurodevelopmental perspective. Genes & Development. 2012;26:891–907. doi: 10.1101/gad.188326.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Mugnaini E, Floris A. The unipolar brush cell: a neglected neuron of the mammalian cerebellar cortex. The Journal of Comparative Neurology. 1994;339:174–180. doi: 10.1002/cne.903390203. [DOI] [PubMed] [Google Scholar]
  46. Mugnaini E, Sekerková G, Martina M. The unipolar brush cell: a remarkable neuron finally receiving deserved attention. Brain Research Reviews. 2011;66:220–245. doi: 10.1016/j.brainresrev.2010.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Müller Smith K, Williamson TL, Schwartz ML, Vaccarino FM. Impaired motor coordination and disrupted cerebellar architecture in Fgfr1 and Fgfr2 double knockout mice. Brain Research. 2012;1460:12–24. doi: 10.1016/j.brainres.2012.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Palmen SJ, van Engeland H, Hof PR, Schmitz C. Neuropathological findings in autism. Brain. 2004;127:2572–2583. doi: 10.1093/brain/awh287. [DOI] [PubMed] [Google Scholar]
  49. Payne JM, Pickering T, Porter M, Oates EC, Walia N, Prelog K, North KN. Longitudinal assessment of cognition and T2-hyperintensities in NF1: an 18-year study. American Journal of Medical Genetics Part A. 2014;164A:661–665. doi: 10.1002/ajmg.a.36338. [DOI] [PubMed] [Google Scholar]
  50. Plasschaert E, Descheemaeker MJ, Van Eylen L, Noens I, Steyaert J, Legius E. Prevalence of autism spectrum disorder symptoms in children with neurofibromatosis type 1. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics. 2014;168:72–80. doi: 10.1002/ajmg.b.32280. [DOI] [PubMed] [Google Scholar]
  51. Schmahmann JD, Caplan D. Cognition, emotion and the cerebellum. Brain. 2006;129:290–292. doi: 10.1093/brain/awh729. [DOI] [PubMed] [Google Scholar]
  52. Schubbert S, Shannon K, Bollag G. Hyperactive Ras in developmental disorders and cancer. Nature Reviews Cancer. 2007;7:295–308. doi: 10.1038/nrc2109. [DOI] [PubMed] [Google Scholar]
  53. Schuller U, Heine VM, Mao J, Kho AT, Dillon AK, Han YG, Huillard E, Sun T, Ligon AH, Qian Y, Ma Q, Alvarez-Buylla A, McMahon AP, Rowitch DH, Ligon KL. Acquisition of granule neuron precursor identity is a critical determinant of progenitor cell competence to form Shh-induced medulloblastoma. Cancer Cell. 2008;14:123–134. doi: 10.1016/j.ccr.2008.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Sebolt-Leopold JS, Herrera R. Targeting the mitogen-activated protein kinase cascade to treat cancer. Nature Reviews Cancer. 2004;4:937–947. doi: 10.1038/nrc1503. [DOI] [PubMed] [Google Scholar]
  55. Sillitoe RV, Joyner AL. Morphology, molecular codes, and circuitry produce the three-dimensional complexity of the cerebellum. Annual Review of Cell and Developmental Biology. 2007;23:549–577. doi: 10.1146/annurev.cellbio.23.090506.123237. [DOI] [PubMed] [Google Scholar]
  56. Soriano P. Generalized lacZ expression with the ROSA26 Cre reporter strain [letter] Nature Genetics. 1999;21:70–71. doi: 10.1038/5007. [DOI] [PubMed] [Google Scholar]
  57. Strick PL, Dum RP, Fiez JA. Cerebellum and nonmotor function. Annual Review of Neuroscience. 2009;32:413–434. doi: 10.1146/annurev.neuro.31.060407.125606. [DOI] [PubMed] [Google Scholar]
  58. Tsai PT, Hull C, Chu Y, Greene-Colozzi E, Sadowski AR, Leech JM, Steinberg J, Crawley JN, Regehr WG, Sahin M. Autistic-like behaviour and cerebellar dysfunction in Purkinje cell Tsc1 mutant mice. Nature. 2012;488:647–651. doi: 10.1038/nature11310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Upadhyaya MA, Cooper DN. Neurofibromatosis Type 1: Molecular and Cellular Biology. Springer-Verlag Berlin Heidelberg; 2012. [Google Scholar]
  60. van der Vaart T, van Woerden GM, Elgersma Y, de Zeeuw CI, Schonewille M. Motor deficits in neurofibromatosis type 1 mice: the role of the cerebellum. Genes, Brain, and Behavior. 2011;10:404–409. doi: 10.1111/j.1601-183X.2011.00685.x. [DOI] [PubMed] [Google Scholar]
  61. Vargas DL, Nascimbene C, Krishnan C, Zimmerman AW, Pardo CA. Neuroglial activation and neuroinflammation in the brain of patients with autism. Annals of Neurology. 2005;57:67–81. doi: 10.1002/ana.20315. [DOI] [PubMed] [Google Scholar]
  62. Walsh KS, Velez JI, Kardel PG, Imas DM, Muenke M, Packer RJ, Castellanos FX, Acosta MT. Symptomatology of autism spectrum disorder in a population with neurofibromatosis type 1. Developmental Medicine and Child Neurology. 2013;55:131–138. doi: 10.1111/dmcn.12038. [DOI] [PubMed] [Google Scholar]
  63. Wang Y, Kim E, Wang X, Novitch BG, Yoshikawa K, Chang LS, Zhu Y. ERK inhibition rescues defects in fate specification of Nf1-deficient neural progenitors and brain abnormalities. Cell. 2012;150:816–830. doi: 10.1016/j.cell.2012.06.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Wang Y, Yang J, Zheng H, Tomasek GJ, Zhang P, Mckeever PE, Lee EY, Zhu Y. Expression of mutant p53 proteins implicates a lineage relationship between neural stem cells and malignant astrocytic glioma in a murine model. Cancer Cell. 2009;15:514–526. doi: 10.1016/j.ccr.2009.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Watkins S, Sontheimer H. Hydrodynamic cellular volume changes enable glioma cell invasion. The Journal of Neuroscience. 2011;31:17250–17259. doi: 10.1523/JNEUROSCI.3938-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Yang ZJ, Ellis T, Markant SL, Read TA, Kessler JD, Bourboulas M, Schuller U, Machold R, Fishell G, Rowitch DH, Wainwright BJ, Wechsler-Reya RJ. Medulloblastoma can be initiated by deletion of Patched in lineage-restricted progenitors or stem cells. Cancer Cell. 2008;14:135–145. doi: 10.1016/j.ccr.2008.07.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Yu T, Yaguchi Y, Echevarria D, Martinez S, Basson MA. Sprouty genes prevent excessive FGF signalling in multiple cell types throughout development of the cerebellum. Development. 2011;138:2957–2968. doi: 10.1242/dev.063784. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Yue Q, Groszer M, GIL JS, Berk AJ, Messing A, Wu H, Liu X. PTEN deletion in Bergmann glia leads to premature differentiation and affects laminar organization. Development. 2005;132:3281–3291. doi: 10.1242/dev.01891. [DOI] [PubMed] [Google Scholar]
  69. Zhu Y, Harada T, Liu L, Lush ME, Guignard F, Harada C, Burns DK, Bajenaru ML, Gutmann DH, Parada LF. Inactivation of NF1 in CNS causes increased glial progenitor proliferation and optic glioma formation. Development. 2005;132:5577–5588. doi: 10.1242/dev.02162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Zhu Y, Richardson JA, Parada LF, Graff JM. Smad3 mutant mice develop metastatic colorectal cancer. Cell. 1998;94:703–714. doi: 10.1016/S0092-8674(00)81730-4. [DOI] [PubMed] [Google Scholar]
  71. Zhu Y, Romero MI, Ghosh P, Ye Z, Charnay P, Rushing EJ, Marth JD, Parada LF. Ablation of NF1 function in neurons induces abnormal development of cerebral cortex and reactive gliosis in the brain. Genes & Development. 2001;15:859–876. doi: 10.1101/gad.862101. [DOI] [PMC free article] [PubMed] [Google Scholar]
eLife. 2014 Dec 23;3:e05151. doi: 10.7554/eLife.05151.022

Decision letter

Editor: Duojia Pan1

eLife posts the editorial decision letter and author response on a selection of the published articles (subject to the approval of the authors). An edited version of the letter sent to the authors after peer review is shown, indicating the substantive concerns or comments; minor concerns are not usually shown. Reviewers have the opportunity to discuss the decision before the letter is sent (see review process). Similarly, the author response typically shows only responses to the major concerns raised by the reviewers.

Thank you for sending your work entitled “Transient MEK inhibition prevents cerebellar developmental defects and improves long-term motor functions in murine NF1” for consideration at eLife. Your article has been favorably evaluated by a Senior editor, a Reviewing editor, and 2 reviewers.

The Reviewing editor and the reviewers discussed their comments before we reached this decision, and the Reviewing editor has assembled the following comments to help you prepare a revised submission.

In this study, the authors conducted genetic analyses to identify the cell types and molecular events that underlie a subset of behavioral deficits associated with Neurofibromatosis type 1. Significantly, the authors show that transient MEK inhibition during a neonatal window prevents cerebellar developmental defects and improves long-term motor performance of Nf1- deficient mice. While the reviewers find the study to be overall nicely conducted and potentially important for the development of Nf1 therapeutics they also identified several points that should be addressed prior to publication. In particular, mechanistic insights into the differential response of the Nf1-GFAP animals to MEK inhibitor (responders vs. non-responders) should be provided. Otherwise, this data is better removed from the study. In addition, the authors should discuss the specificity of the Cre drivers used in the study and its potential effect on the observed phenotypes, as well as improve the presentation of figures to non-experts.

Reviewer #1 comments:

1) Define the genotype of Nf1 CKO mice: NF1flox/− and/or NF1flox/flox? Does Nf1 hemizygosity modify the phenotype?

2) Figures 1G; 3D: Provide higher magnification pictures for the double stainings (yellow cells are not very evident in the present pictures).

3) Figure 7F: It could be interesting to see if there is a significant difference in rotarod curves between G-responders and P-responders. This could strengthen the observation of long term rescue of motor function in G-responders.

4) Discussion: elaborate some hypothesis to explain the difference in response to MEK inhibition of mutant mice based on the required revisions above. Genetic heterogeneity? Were the mice in a controlled genetic background? Drug distribution/bioavailability? (PK data are not provided and they are needed); Weak or inconsistent modulation of the target? (Phospho-Erk expression analysis of tissues from treated mice vs. untreated by WB and/or IHC is not shown or mentioned).

Reviewer #2 comments:

There are several points that should be addressed prior to publication of this study: 1) Although the authors have carefully restricted their analysis of the NF1 deletion studies they have performed to the development of the cerebellum, two of the three Cre driver lines they have employed cause recombination in other regions of the developing brain. For example, the hGFAP-Cre driver line generates strong recombination astrocytes in many brain structures, including the hippocampus, and corpus callosum. Math-1 mediated Cre recombination has not been extensively characterized, but Math1 is known to be required for development of a range of brainstem neurons involved in proprioception, interoception, hearing and arounsal Rose et al, 2009). The authors have made little effort to make the reader aware of these facts, and how they may affect the interpretation of their data. While this point is unlikely to be important for evaluation of anatomical defects in cerebellar development, the behavioral data they have provided must be considered in the light of this knowledge. The authors should substantively revise the manuscript to educate the reader with regard to these points, the potential impact they have on our interpretation of this work, and their considerations regarding the potential therapeutic effects of MEKi.

2) It is unclear to this reviewer that the observation of Tbr+ cells in the EGL and ML of Nf1/Math1 CKO mice proves that loss of NF1 causes altered fate-specification. Of course, these cells might represent GCs that are mis-specified, as the authors have suggested. Alternatively, they could represent ectopic UBCs that were correctly specified in the rhombic lip, but followed an abnormal migratory path to arrive in the EGL and ML. The fact that they are labeled in the EGL by BrDU does not distinguish between these two possibilities. In my opinion, much more precise and detailed characterization of these ectopic cells would have to be done to conclude that they are mis-specified.

3) The figures presented are exceedingly complex! Although the data are very nicely presented, I believe the density of the data presented in these figures will cause all but the most dedicated scientists to disengage from the study before they have finished reading it. Although I would not reject the study on such superficial grounds, a careful culling of the data so that only the essential points are presented in the primary figures would significantly improve the paper.

eLife. 2014 Dec 23;3:e05151. doi: 10.7554/eLife.05151.023

Author response


In this study, the authors conducted genetic analyses to identify the cell types and molecular events that underlie a subset of behavioral deficits associated with Neurofibromatosis type 1. Significantly, the authors show that transient MEK inhibition during a neonatal window prevents cerebellar developmental defects and improves long-term motor performance of Nf1- deficient mice. While the reviewers find the study to be overall nicely conducted and potentially important for the development of Nf1 therapeutics they also identified several points that should be addressed prior to publication. In particular, mechanistic insights into the differential response of the Nf1-GFAP animals to MEK inhibitor (responders vs. non-responders) should be provided. Otherwise, this data is better removed from the study.

We believe that these results are important parts of the study and should be included in the manuscript. Accordingly, we have included additional data to support our conclusion that the extremely high levels of Erk activation in Nf1-deficient glial cells (compared to other cell types) in the developing cerebellum is the major mechanism underlying differential responses in the cerebella of MEKi-treated Nf1hGFAPCKO mice (Good-responders or G-responders versus Poor-responders or P-responders). Furthermore, we have included a new section subtitled by “Clinical Implication” in the Discussion to address this important issue.

It should be emphasized that we employed a “MEKi in milk” strategy to deliver MEKi to neonatal pups through milk from lactating females treated with MEKi at a dose of 5 mg/kg body weight. While this delivery strategy causes minimal physical distress to pups, it also leads to inconsistent uptake of MEKi from milk due to physical weakness of some of Nf1hGFAPCKO pups. Western blot analysis showed that this “MEKi in milk” strategy achieved a mild 30% to 50% of Erk inhibition in the developing cerebella of MEKi-treated Nf1hGFAPCKO pups.

Strikingly, mild Erk inhibition with this protocol robustly and consistently rescued developmental defects in Nf1Math1CKO cerebella, and over 60% of the Nf1hGFAPCKO cerebella (G-responders). It should be noted that the remaining P-responders are not “non-responders”, as these MEKi-treated Nf1hGFAPCKO mice still exhibited a complete rescue of ectopic Tbr2 expression in their cerebella, as well as consistent rescues in the defects in the corpus callosum and SVZ, as described previously (Wang et al., 2012). The only observed variation is the inconsistent rescue in the glial defects observed in the cerebella of MEKi-treated Nf1hGFAPCKO mice, which is likely due to the extremely high levels of Erk activation in Nf1-deficient glial cells in the developing cerebellum compared to other cells. Indeed, when the dose of MEKi was increased to 20 mg/kg to lactating females, a more consistent rescue in cerebellar defects was observed in the cerebella of Nf1hGFAPCKO mice. These new data have been included in the revised Figure 7E, F; Figure 7–figure supplement 1 and 2.

In addition, the authors should discuss the specificity of the Cre drivers used in the study and its potential effect on the observed phenotypes.

We have addressed these points in the “Responses to Reviewer 2’s comments #1” (see below).

The authors should improve the presentation of figures to non-experts.

We have provided detailed information on the revision of 6 out of 7 figures in the initial submission (see “Reponses to Review 2 comments #3”).

Reviewer #1 comments:

1) Define the genotype of Nf1 CKO mice: NF1flox/− and/or NF1flox/flox? Does Nf1 hemizygosity modify the phenotype?

All the Nf1 conditional knockout (CKO) mice analyzed in this study have the genotypes of Cre+;Nf1flox/flox. This information was included in the “Materials and Methods” section subtitled by “Control and Mutant Mice“. It should be noted that no significant phenotypic difference was observed between hGFAP-cre+;Nf1flox/flox and hGFAP-cre+;Nf1flox/- mice, as previously described (Zhu et al. Development 2005).

2) Figures 1G; 3D: Provide higher magnification pictures for the double stainings (yellow cells are not very evident in the present pictures).

We have included higher magnification images for the double staining of NeuN and GABAα6 in the insets of the revised Figure 1D. Of note, GABAα6 staining is mostly cytoplasmic and surrounds the nuclear NeuN staining. Higher magnification images for the double staining of BLBP/βgal and NeuN/βgal have also been included as insets in the revised Figure 3B (which corresponds to the old Figure 3D).

3) Figure 7F: It could be interesting to see if there is a significant difference in rotarod curves between G-responders and P-responders. This could strengthen the observation of long term rescue of motor function in G-responders.

We did observe that G-responders stayed significantly longer on Rotarod than P-responders, providing a nice correlation between recues in cerebellar developmental defects and motor functions of MEKi-treated Nf1hGFAPCKO mice. This result has been included in the revised Figure 8C.

4) Discussion: elaborate some hypothesis to explain the difference in response to MEK inhibition of mutant mice based on the required revisions above. Genetic heterogeneity? Were the mice in a controlled genetic background? Drug distribution/bioavailability? (PK data are not provided and they are needed); Weak or inconsistent modulation of the target? (Phospho-Erk expression analysis of tissues from treated mice vs. untreated by WB and/or IHC is not shown or mentioned).

The detailed discussion about these points has been included in “Responses to General Comments #1”. In brief, the control and mutant mice analyzed in this study were maintained in the mixed background of C57Bl, 129 Svj and FVB backgrounds. To minimize the effect of genetic background, we analyzed control and mutant mice among littermates. As discussed above, control and mutant littermates used in this study received MEKi through milk from the same lactating females. Based on Western blot analysis, a mild 30% to 50% of Erk inhibition was observed among MEKi-treated Nf1hGFAPCKO mice. This mild inhibition consistently rescued cell-autonomous defects in neurons in the cerebella of MEKi-treated Nf1Math1CKO mice, but exhibited differential responses in glial-dependent cerebellar defects. The inconsistent rescue in the glial defects observed in the cerebella of MEKi-treated Nf1hGFAPCKO mice is likely due to the extremely high levels of Erk activation in Nf1-deficient glial cells in the developing cerebellum compared to other cells. Indeed, when the dose of MEKi was increased to 20 mg/kg, a more consistent rescue in cerebellar defects was observed in the cerebella of Nf1hGFAPCKO mice.

Reviewer #2 comments:

There are several points that should be addressed prior to publication of this study: 1) Although the authors have carefully restricted their analysis of the NF1 deletion studies they have performed to the development of the cerebellum, two of the three Cre driver lines they have employed cause recombination in other regions of the developing brain. For example, the hGFAP-Cre driver line generates strong recombination astrocytes in many brain structures, including the hippocampus, and corpus callosum. Math-1 mediated Cre recombination has not been extensively characterized, but Math1 is known to be required for development of a range of brainstem neurons involved in proprioception, interoception, hearing and arounsal Rose et al, 2009). The authors have made little effort to make the reader aware of these facts, and how they may affect the interpretation of their data. While this point is unlikely to be important for evaluation of anatomical defects in cerebellar development, the behavioral data they have provided must be considered in the light of this knowledge. The authors should substantively revise the manuscript to educate the reader with regard to these points, the potential impact they have on our interpretation of this work, and their considerations regarding the potential therapeutic effects of MEKi.

We agree with this reviewer that the Cre drivers except for L7-cre used in this study also target cells in the other regions of the brain (which has been included in the legends of Figure 1–figure supplement 1A). Therefore, behavioral data are a collective reflection of rescues of multiple NF1-associated brain structural defects including those in the cerebellum and corpus callosum. Indeed, this is one of the major strengths of this transient MEKi treatment protocol that could potentially exert therapeutic benefits on multiple NF1-associated brain structural defects including both defects in the cerebellum and other brain regions (which are targeted by hGFAP-cre, as this reviewer pointed out). This discussion has been included in the last paragraph of the Discussion section.

Detailed discussion about the potential therapeutic effects of MEKi has been included in “Response to General Comments #1” and “Response to Reviewer 1 Comments #4”.

2) It is unclear to this reviewer that the observation of Tbr+ cells in the EGL and ML of Nf1/Math1 CKO mice proves that loss of NF1 causes altered fate-specification. Of course, these cells might represent GCs that are mis-specified, as the authors have suggested. Alternatively, they could represent ectopic UBCs that were correctly specified in the rhombic lip, but followed an abnormal migratory path to arrive in the EGL and ML. The fact that they are labeled in the EGL by BrDU does not distinguish between these two possibilities. In my opinion, much more precise and detailed characterization of these ectopic cells would have to be done to conclude that they are mis-specified.

We agree with this reviewer that ectopic presence of Tbr2+ cells in the EGL and ML of the Nf1Math1CKO cerebellum could be caused by abnormal migration of Tbr2+ cells from the RL. However, we regret that we did not make it clear in the initial submission that ectopic presence of Tbr2+ cells in the EGL and ML of the Nf1Math1CKO cerebellum are distinct from those relatively well characterized RL-derived Tbr2highNeuN- UBCs in the literature. These two Tbr2+ UBC sublineages can be distinguished at least in six aspects: (1) the marker expression, Tbr2+NeuN+ vs. Tbr2highNeuN-, (2) the low vs. high percentage expressing CRhigh, (3) the location, ML and IGL vs. IGL, (4) the developmental origin, precursors in the EGL vs. RL, (5) the timing of birth, postnatal vs. embryonic stages, and (6) the migratory pathway, EGL-ML-IGL vs. RL-PWM-IGL (see the revised Results section).

It is still possible that Nf1 loss causes abnormal migration of the Tbr2highNeuN- sublineage from the RL to the EGL, and then switches them to the Tbr2+NeuN+ UBC sublineage in the EGL. However, no Tbr2+ cells were found in the EGL of the mutant cerebellum at E17.5 or P0.5, when Tbr2highNeuN- UBCs migrate out of the RL into the PWM (Figure 5–figure supplement 2C, C’). This observation argues against the possibility of abnormal migration of Tbr2highNeuN- UBCs into the EGL. Indeed, Nf1 loss has little or no impact on the generation, migration and total number of Tbr2highNeuN- UBCs in the mutant cerebellum. Furthermore, in contrast to the precursors of Tbr2highNeuN- UBCs that exit cell cycles during perinatal stages, Nf1-deficient precursors of Tbr2+NeuN+ UBCs continue proliferating in the EGL at least until P8 at the peak of GCP proliferation. Together, these observations suggest that Nf1 plays a specific role in the Tbr2+NeuN+ UBC sublineage by controlling the fate-specification of GCPs in differentiating into GCs versus Tbr2+NeuN+ UBCs. This discussion has been included in the revised Discussion section.

3) The figures presented are exceedingly complex! Although the data are very nicely presented, I believe the density of the data presented in these figures will cause all but the most dedicated scientists to disengage from the study before they have finished reading it. Although I would not reject the study on such superficial grounds, a careful culling of the data so that only the essential points are presented in the primary figures would significantly improve the paper.

We have carefully reviewed the data and revised 6 of 7 figures in the original submission. In the revised manuscript, each figure was simplified and only included the necessary data to support the main conclusion of the particular figure. All the supporting data were moved to figure supplements. Specifically:

Figure 1 only includes the data that describe the neuronal and glial phenotypes of the Nf1hGFAPCKO cerebellum. The cartoon describing the specificity of different Cre drivers was moved to Figure 1–figure supplement 1.

Figure 2 was reorganized with focus on the glial phenotypes in the developing Nf1hGFAPCKO cerebellum.

Figure 3 was simplified and focused on the data showing that Nf1 inactivation in glial precursors at early stages caused the abnormalities similar to those seen in the Nf1hGFAPCKO cerebellum. The remaining supporting data were moved to a figure supplement.

Figure 4 was simplified by moving 48-hour BrdU pulse-chase data and in vitro data to a figure supplement. In addition, the cartoon summarizing the data was included in Figure 4J and J’.

Figure 5 was simplified to include the data describing cell-autonomous and non-cell-autonomous defects of Tbr2 UBCs caused by Nf1 inactivation in the adult cerebellum. Figure 5–figure supplement was split into two figures, which describes glial-independent and –dependent UBC defects, respectively.

Figure 6 is not as complicated as other figures and no change was made.

Figure 7 was split into two figures – the revised Figures 7 and 8. The revised Figure 7 only included the data of short-term effects of MEKi treatment and added new data using higher dose of MEKi in Figure 7F. The new revised Figure 8 included the long-term effects of MEKi treatment and behavioral tests and two panels to summarize the main findings of the study. One more figure supplement was included to support the revised Figure 7.


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