- Research article
- Open Access
Differential timing of granule cell production during cerebellum development underlies generation of the foliation pattern
Neural Development volume 11, Article number: 17 (2016)
The mouse cerebellum (Cb) has a remarkably complex foliated three-dimensional (3D) structure, but a stereotypical cytoarchitecture and local circuitry. Little is known of the cellular behaviors and genes that function during development to determine the foliation pattern. In the anteroposterior axis the mammalian cerebellum is divided by lobules with distinct sizes, and the foliation pattern differs along the mediolateral axis defining a medial vermis and two lateral hemispheres. In the vermis, lobules are further grouped into four anteroposterior zones (anterior, central, posterior and nodular zones) based on genetic criteria, and each has distinct lobules. Since each cerebellar afferent group projects to particular lobules and zones, it is critical to understand how the 3D structure of the Cb is acquired. During cerebellar development, the production of granule cells (gcs), the most numerous cell type in the brain, is required for foliation. We hypothesized that the timing of gc accumulation is different in the four vermal zones during development and contributes to the distinct lobule morphologies.
Methods and Results
In order to test this idea, we used genetic inducible fate mapping to quantify accumulation of gcs in each lobule during the first two postnatal weeks in mice. The timing of gc production was found to be particular to each lobule, and delayed in the central zone lobules relative to the other zones. Quantification of gc proliferation and differentiation at three time-points in lobules representing different zones, revealed the delay involves a later onset of maximum differentiation and prolonged proliferation of gc progenitors in the central zone. Similar experiments in Engrailed mutants (En1 −/+ ;En2 −/−), which have a smaller Cb and altered foliation pattern preferentially outside the central zone, showed that gc production, proliferation and differentiation are altered such that the differences between zones are attenuated compared to wild-type mice.
Our results reveal that gc production is differentially regulated in each zone of the cerebellar vermis, and our mutant analysis indicates that the dynamics of gc production plays a role in determining the 3D structure of the Cb.
The cortex of the mammalian cerebellum (Cb) has a layered cytoarchitecture and the basic cellular processes that produce the layers are the same throughout the Cb [1, 2]. Contrasting with its homogenous cellular organization, the Cb displays a complex three-dimensional (3D) structure with the anteroposterior (a-p) axis being divided by fissures into lobules . Lobules are grouped into four a-p zones based on specific gene expression patterns [4, 5]: the anterior (AZ, lobules 1–5), central (CZ, lobules 6–7), posterior (PZ, lobule 8 and anterior 9) and the nodular zones (NZ, posterior lobule 9 and 10). Foliation has two distinct patterns along the mediolateral (m-l) axis, defining a central vermis flanked by two hemispheres. The complex 3D organization of the Cb along two Cartesian axes parallels the organization of the afferents that project to the Cb . Depending on their origin, afferents target specific sets of lobules, some primarily in either the vermis or the hemispheres, thus suggesting a modular organization of cerebellar functions [6, 7]. Therefore, the acquisition of the 3D structure of the Cb during development is a crucial step in the assembly of the long-range cerebellar circuitry.
The relatively simple cytoarchitecture of the Cb underlies its stereotyped organization of local neuronal circuitry. Granule cells (gcs) and sparsely distributed interneurons compose the inner most layer of the cerebellar cortex, the inner granule cell layer (IGL). The adjacent Purkinje cell layer (PcL) contains Pc cell bodies and Bergmann glia (Bg), and the outer most molecular layer (ML) has Bergmann glial fibers, Pc dendrites, gc axons (the parallel fibers) and interneurons. This cellular organization is identical throughout the cerebellar cortex, despite the diverse size and shape of lobules that house local circuits and the various long-range circuits in which they are integrated.
The Cb has two developmental progenitor zones [1, 8]. The ventricular zone produces the Pcs, Bg, interneurons and astrocytes , whereas the upper rhombic lip generates the projection neurons of the cerebellar nuclei and then the gcs. Proliferating gc precursors (gcps) first migrate over the surface of the cerebellar primordium to form the external granule cell layer (EGL) [10, 11]. Gcps proliferate in the outer layers of the EGL (oEGL); once they exit the cell cycle, gcs form an inner layer of the EGL (iEGL) where they extend horizontal processes and undergo tangential migration along the m-l axis. Subsequently, gcs extend a vertical process through the forming ML and the cell bodies migrate along Bg fibers and past the PcL to finally settle in the IGL [12–17]. The parallel fibers of newly differentiated gcs stack on top of the parallel fibers of previously differentiated gcs . Thus the ML grows by addition of new gc axons from inside to outside. In contrast, the positions of gc bodies within the IGL are not correlated with the time of birth . Unlike the neural precursors in the VZ, gcps in the EGL divide symmetrically to expand the progenitor pool and then to produce differentiated neurons. Quite remarkably, individual clones of gcps differentiate en masse over a short time period (<3 days) and the position of their parallel fibers in the ML indicates the time when the cells of a clone differentiated while the cell bodies are scattered in the IGL [19, 20].
The process of foliation (by which the Cb acquires lobules) is initiated at late embryonic stages in mouse (E17.5) and proceeds through the first two post-natal weeks when gc production is maximal. Fissure formation is initiated by sequential changes in cell behaviors at specific locations that become the base of each fissure, termed “anchoring centers” . All anchoring centers are not initiated at the same time; instead they form in a reproducible sequence . The shapes and sizes of lobules are diverse but the overall pattern of foliation is highly conserved within a species and throughout mammals [22, 23], suggesting the positioning of the anchoring centers is under genetic control. Indeed, in mouse mutants in which the timing and positioning of the anchoring centers are altered, the pattern of foliation is changed (e.g., [21, 24, 25]). However, it is not well understood how the diversity in lobule size and shape is produced during Cb development.
Recently, we discovered that clones of gcps initiated around birth are confined to the EGL region between two anchoring centers and that the size and geometry of clones are different in short and long lobules . We proposed that the compartmentalization of gcs into lobules allows for differential regulation of cell behaviors in each lobule. In order to gain further insight into the origin of the diversity of lobule shapes and sizes, we used genetic inducible fate mapping  to test whether differential timing of gc production (increase in gc number) underlies the acquisition of cerebellar 3D structure. Indeed we found that the peak of gc production is most similar for lobules within a zone, and that the CZ is generally delayed. Evaluation of gc proliferation and differentiation showed that the relative delay of gc production in the CZ involves delayed differentiation of gcps compared to the AZ and prolonged proliferation compared to the AZ and NZ. Similar analyses in mouse En1 −/+;En2 −/− mutants, which have a smaller Cb and preferential loss of AZ and PZ lobules , showed that the differences in gc production, proliferation and differentiation seen between zones of wild-type (WT) mice are diminished in mutants, correlating with the preferential loss of AZ and PZ lobules.
The Atoh1-CreER T2 , Tau lox-STOP-lox-mGFP-IRES-NLSlacZ , En1 hd  and En2 ntd  mouse lines were maintained on an outbred Swiss-Webster background and genotyped as previously described. All animal studies were performed under an approved Institutional Animal Care and Use Committee mouse protocol according to MSKCC institutional guidelines. Noon of the day that a vaginal plug was detected was designated as embryonic day (E) E0.5. The equivalent of E19.5 is referred to as postnatal day (P) P0.
Genetic inducible fate mapping of gcps
WT Atoh1-CreER T2 /+; Tau lox-STOP-lox-mGFP-IRES-NLSlacZ/+ mice and Atoh1-CreER T2 /+; Tau lox-STOP-lox-mGFP-IRES-NLSlacZ/+ ; En1 +/hd ; En2 ntd/ntd mutants were used to fate map gcps at different time-points during development. Tamoxifen (Tm) was diluted in corn oil (50–200 μg/g of body weight) and administered by subcutaneous injection to either P2, P4, P6, P8, P10, P12, P14 or P16 pups as described . The quantifications of the proportion of the ML that was labeled and of the density of labeled gcs in the IGL were performed on sections spanning ~500 μm around the midline. To test for a correlation between the proportion of the ML labeled and the density of labeled gc, we analyzed three pairs of adjacent sections (one stained for X-gal, the other immunostained for GFP) in two animals. A portion of the anterior wall and of the posterior wall was quantified in each folium. To quantify the proportion of labeled ML after Tm administration at each time-point to assess for the level of gc production, we measured the total area of the ML and the area of labeled ML using Neurolucida software, and calculated the percentage of ML that was labeled. At least 3 sections were analyzed per animal and 3 to 4 animals were analyzed per time-point.
Histology and immunohistochemistry
All brains for fate mapping were dissected and immersion fixed in 4 % PFA for 30–45 min at 4 °C, then rinsed in PBS and transferred into 30 % sucrose at 4 °C O/N. Brains for proliferation and differentiation analyses were dissected after intracardiac perfusion with 4 % PFA, post-fixed for 2 h in 4 % PFA at 4 °C, then transferred into 30 % sucrose at 4 °C O/N. Brains for analysis of timing of fissure formation in En1 +/− ;En2 −/− mutants were prepared as above with an O/N post-fix at 4 °C. Brains were embedded in OCT (Tissue-Tek), frozen in methyl-butane and cryosectioned at 12 μm. Immunohistochemistry for GFP and β-Gal histochemistry were performed following standard protocols . BrdU and Ki67 immunostaining required antigen retrieval by pretreatment with Na+ citrate buffer, (pH 6, 10 mM Sodium Citrate, 0.05 % Tween) for 10 min at room temperature, then transferred in heated Na+ citrate buffer for 30 min at 95 °C, cooled in Na+ citrate buffer and rinsed in PBS. Primary antibodies: rabbit anti-GFP (1:2000; Invitrogen), mouse anti-Ki67 (1:500; BD), sheep anti-BrdU (1:5000; Biodesign international), mouse anti-Pax6 (1:500; Covance). Secondary antibodies: biotinylated goat anti-rabbit (1:500; Vector), donkey anti-rabbit-488, anti-mouse-555 and anti-mouse-488, and goat anti-sheep-488 (all at 1:500; Invitrogen).
Proliferation analysis-S-phase index
10 mg/ml BrdU in PBS was injected subcutaneously using a Hamilton syringe (100 μg/g) 30 min before euthanizing the mice at P2, P6, P10, P14 or P16. BrdU was incorporated in cells undergoing S-phase during the 30 min preceding euthanasia. Sections were stained for BrdU and Ki67, a marker of cycling cells. The level of proliferation was assessed as the S-phase index, or the percentage of BrdU positive; Ki67 positive cells of the total Ki67 positive population at P2, P6 and P10 in WT animals and P6 and P10 in En1 +/− ;En2 −/− mutants. Three animals of each genotype were analyzed and for each animal 3 sections were analyzed with an interval of 144 μm between sections. Whole lobules were analyzed at P2. For P6 and P10, after determining that there were no local differences within lobules, only a portion of the posterior wall starting at the top of the lobule was quantified. At least ~200 BrdU positive cells per section per lobule were counted. The results from the 3 sections were averaged and three animals were averaged per time point and genotype. At P14 and P16, proliferation was analyzed qualitatively, BrdU was injected 1 h before euthanasia, and sections were double stained for BrdU and Pax6 (granule cell marker) to reveal the presence of cycling cells.
Differentiation analysis-quitting fraction
10 mg/ml BrdU in PBS was injected subcutaneously using a Hamilton syringe (100 μg/g) 24 h before euthanizing the mice at P2, P6, or P10 for WT animals and P6 and P10 for En1 +/− ;En2 −/− mutants and En2 +/− controls. Sections were stained for BrdU and Ki67. BrdU is incorporated in cells undergoing S-phase for 30 min to 1 h following the injection. After completing S-phase, cells that incorporate BrdU undergo G2 and M phases, after which they either exit the cell cycle or undergo another cell division. Thus, 24 h after BrdU injection, BrdU-labeled cells are either Ki67 negative or Ki67 positive. We chose 24 h as the time of analysis since the cell cycle length in gcps at P10 was estimated to be ~19 h , thus most of the cells in S-phase at the time of BrdU injection will have completed a full cell cycle. The level of differentiation was assessed by calculating the quitting fraction, which is the percentage of BrdU positive and Ki67 negative cells of the total BrdU positive population. Three sections 144 μm apart were analyzed from each of three animals of each genotype. Whole lobules were analyzed at P2, and at P6 and P10 only a portion of the posterior wall starting at the top of the folium was quantified. At least ~200 BrdU positive cells per section per lobule were counted. The results from the 3 sections were averaged and three animals were averaged per time point and genotype.
EGL thickness measurements
The outer EGL was defined as the Ki67 positive portion of the EGL and the inner EGL as the Ki67 negative portion of the EGL. Using sagittal sections near the midline from three animals of each genotype, the area of the outer and inner EGL and length of the outer surface of each lobule were determined for three sections per animal using Neurolucida software. The thickness was calculated as the average area divided by the length.
Mosaic bright-field and fluorescence images were taken on a Zeiss inverted microscope (Zeiss, Observer.Z1) using the Tile module of the Axiovision software (Zeiss). Images of the entire Cb were taken with a 10X objective, and images of individual lobules for proliferation or differentiation analyses were taken with a 40X objective.
Quantification of the timing of fissure formation at the midline in En1 +/− ;En2 −/− mutants
Cerebella were collected every day between P1 and P5 (n = 3 or 4 at each stage), cryosectioned in series at 12 μm and every 6th slide Nissl stained. Whether fissures were present at the midline was recorded. Fissures were identified based on an analysis of m-l series of sections for each mouse.
All analyses were performed with Prism. Comparisons between lobules across different stages were done using two-way ANOVA followed by posthoc multiple comparisons tests (Tukey’s for the unrestricted inter-lobule comparisons and Dunnet’s for the comparisons using one lobule as reference). Comparisons between genotypes and lobules at individual stages (or between genotypes and lobule ratios across different stages) were done using two-way ANOVA followed by Sidak’s multiple comparisons test. The analyses were performed following a randomized block approach, to account for the matched measurements between different lobules from the same animal at each time point. All tests used α = 0.05. 3 different animals were used for each stage and each genotype. The correlation between the density of labeled gc bodies and the proportion of labeled parallel fibers (gc axons) in the ML was tested using the Spearman correlation test. The data used to determine gc production over time was fitted to third-order polynomial equations using Prism and their first derivative was generated to estimate growth rates at each time point.
The proportion of granule cells produced during development correlates with the size of the molecular layer generated
Genetic inducible fate mapping of gcps was utilized as a means to assess the kinetics of gc production in different zones of the Cb. The gcp specific Atoh1-CreER mouse line  was combined with the Tau lox-STOP-lox-mGFP-IRES-NLSlacZ reporter line  in order to mark the majority of gcps in the EGL at different time-points, and determine the proportion of marked gcs that were produced from the time of induction to the end of Cb morphogenesis (P28). With the Tau reporter line the cell body of differentiated gcs is visualized via expression of nuclear-localized β-galactosidase and the parallel fibers through expression of myristoylated GFP. With our experimental scheme, marked differentiated gcs in adult Atoh1-CreER/+; Tau lox-STOP-lox-mGFP-IRES-NLSlacZ/+ mice (referred to as Atoh1-Tau) are those that were produced from gcps that underwent recombination (marking) within 48 h of tamoxifen (Tm) administration. In order to determine the proportion of gcs produced during different developmental time periods, we marked gcps at 7 time points (n = 3 mice per time point). We expected the absolute number of gcps marked in each Atoh1-Tau animal to vary for each time point since 100 % recombination is not reached using inducible Cre systems, and that the efficiency of recombination might vary between time points . Given that parallel fibers stack upon one another from inside to outside in the ML, we reasoned that although the proportion of marked cells could vary between Atoh1-Tau mice given Tm on the same day, the proportion (or height) of the ML occupied by the marked gcs that differentiated after Tm administration would be the same irrespective of the level of induction between animals. Moreover, the proportion of ML occupied by marked axons should decrease the later Tm is administered, with more and more of the inner region not being marked at late stages.
Tm was injected every two days from P2 to P14 to Atoh1-Tau mice, 1 day for each mouse, and the fate-mapped cells were analyzed at P28. As expected, the cell bodies (detected with X-gal staining) of the marked cells were scattered throughout the IGL (Fig. 1a), whereas the labeled axons (immunostained for GFP) were stacked on top of unlabeled axons defining an outer portion of labeled ML and inner portion of unlabeled ML (Fig. 1b-h). We did indeed observe that the height of the outer ML that was labeled progressively decreased as Tm was administered later in Cb development (Fig. 1c-h). We measured the area of labeled ML as a proportion of the total area of ML in each lobule on three midline sections from animals that received 50 μg/g (n = 1) or 200 μg/g (n = 2) of Tm at P8. As expected, we did not observe a significant difference in the proportion of ML area labeled in each lobule between animals that received different doses of Tm, except for lobule 10 where curiously the proportion of ML area labeled was slightly greater in the 1 Atoh1-Tau animal induced with 50 μg/g compared to the two animals induced with 200 μg/g Tm (33.9 % compared to 29.9 % (t-test, p = 0.0015) or 30.8 % (t-test, p = 0.0045)). We then compared the density of labeled cell nuclei (Fig. 2a) to the proportion of labeled ML area (Fig. 2b) in corresponding regions of each lobule, 2 adults were injected with 50 μg/g Tm at P8 in order to distinguish individual labeled cells. We indeed found a high correlation between the density of labeled cell nuclei in particular lobules and the proportion of labeled ML area in the two animals analyzed (Spearman correlation coefficient r = 0.8897, p < 0.0001, Fig. 2c, and r = 0.7055, p = 0.0048, not shown). Thus, the proportion of labeled ML area represents the proportion of axons in the ML produced from the time of induction until the completion of gc production.
Timing of granule cell production varies primarily between lobules of different vermal zones, with the central zone being relatively delayed
Examination of midline sections of P28 Atoh1-Tau mice administered Tm at P10 and stained for X-gal showed a striking difference in the density of marked gcs in the lobules corresponding to different zones, with the AZ and PZ having the least gcs marked (Fig. 1a). Consistent with this observation, quantification of the proportion of labeled ML area and density of gcs labeled at P8 revealed differences between lobules in particular zones (Fig. 2c). Given that more cells should be produced after the time of Tm administration in lobules with a higher proportion of the ML labeled, our finding raised the possibility that the timing of gc production differs more between zones than between lobules within a zone. We tested this idea by calculating the percentage of gcs that had already been produced on the day of Tm administration in Atoh1-Tau mice as the proportion of the ML area that was not labeled at P28 and generated a cumulative graph of gc production in each lobule (n = 3 or 4 mice per time point) (Fig. 3). For statistical tests (Additional file 1: Table S1A-B), we compared lobules 3, 7 and 10 as representing the AZ, CZ and NZ.
The cumulative graphs of gc production revealed that each lobule has a distinct profile of gc accumulation (Fig. 3). As predicted, the lobules within the AZ or CZ had similar profiles to each other but distinct between the two zones. Lobule 8 representing the PZ had kinetics in between the AZ and CZ, and the curve for lobule 10 was more similar to the AZ at P2-P8 and to lobule 8 at later stages. Since lobule 9 is shared between the PZ (anterior 9) and NZ (posterior 9), conclusions cannot be drawn from this lobule. When the percentage of gcs that had been produced at each two successive time points was compared in each lobule, significant difference were found for most comparisons (Additional file 1: Table S1A), showing that significant accumulation of gcs can be detected over 2 days with our fate mapping approach. Interestingly, while the percentage of gcs produced was significantly different in lobule 3 between P2 and P4 and between P4 and P6 and for lobule 10 between P2 and P4 (Additional file 1: Table S1A), neither was the case in lobule 7, indicating a delay in major accumulation of gcs at early stages in CZ lobules. Conversely, there was a significant change in accumulation of gcs in lobule 7 between P10 and P12 but not for lobules 3 and 10, supporting our conclusion that there is a general delay in gc production in lobule 7 compared to lobules 3 and 10. As predicted, we found that in lobule 7 of the CZ there was a significantly smaller percentage of gcs produced at any time point we tested (up to P14) than in lobules 3 or 10 (Fig. 3 and Additional file 1: Table S1B). Moreover, a change in gc production between P10 and P14 was significant for lobules 7 and 10, but not for lobule 3 (Additional file 1: Table S1A), demonstrating that lobules in each zone have different dynamics of gc accumulation. Finally, 11.8 % of the gcs in lobule 7 were produced after P14, whereas only 2.7 or 3.8 % in lobule 3 or 10, respectively (Fig. 3). These results reveal that maximum gc production is delayed in the lobules of the CZ compared to those of the other zones.
To further test the similarities and differences between gc accumulation in distinct lobules, the data were fitted to several mathematical models and a third-order polynomial equation was chosen as the best overall fit for all the lobules. Non-linear regression analysis was used to test the null hypothesis that the accumulation of gcs within each lobule could be fitted to the same equation, which was rejected by the test (p < 0.0001), emphasizing the difference in the profiles of gc accumulation between lobules. As the shape of the curves suggested that gc accumulation in lobules 6 and 7 followed a different dynamics than in other lobules (Fig. 3), we repeated the regression analysis excluding lobules 6 and 7, and found that one curve could fit all the remaining data (p = 0.1962). Conversely, regression analysis of gc accumulation exclusively in lobules 6 and 7 indicated that both sets of data could be fit to the same curve (p = 0.1812). Finally, we plotted the first derivative of the polynomial functions (i.e., the growth rate) to estimate when maximum gc production was reached for each lobule. We found this was attained later in the lobules of the CZ (~P8) than in the lobules of the other zones (~P5-P6 for most of the other lobules) (Additional file 2: Figure S1 and Additional file 1: Table S2).
The distinct kinetics of granule cell production between zones are accompanied by different levels of proliferation and differentiation
Gcs are produced primarily as a result of the proliferation and expansion of the gcp pool and the timing of gc differentiation. Gcp proliferation maintains or expands the pool of precursors in the EGL, and also provides cells for differentiation. The latter eventually leads to a depletion of the pool of precursors. To test whether the delay in CZ gc production is due to less proliferation/differentiation before P6 compared to other zones and/or more proliferation/differentiation after P8, we assessed gc proliferation and differentiation in lobule 7 (CZ) compared to lobules 3 (AZ) and 10 (NZ) at P2, P6 and P10 (Fig. 4c, d). The thymidine analog BrdU was injected into mice 30 min before analysis to mark cells in S-phase and the level of proliferation (S-phase index) was calculated as the percentage of cells in S-phase (BrdU+) of all cycling gcps (Ki67+) (Fig. 4a). To assess for the level of differentiation, we determined the quitting fraction, by injecting BrdU 24 h prior to analysis and calculating the percentage of BrdU+ cells in the EGL region negative for Ki67 (Fig. 4b).
At P2, we did not find significant differences in the S-phase indices between lobules 3, 7 and 10 (Fig. 4c, Additional file 1: Table S2). However, differentiation (quitting fraction) tended to be higher in lobule 3 (41.5 %) compared to 7 (34.1 %), with borderline significance (p = 0.0541, Fig. 4d, Additional file 1: Table S3). These results suggest differentiation rather than proliferation rates might be a more important determinant of the lower production of gcs between P2 and P4 in lobule 7. At P6, the level of differentiation was lowest in lobule 7, especially compared to lobule 10 (Fig. 4d, Additional file 1: Table S3, see also Fig. 8b). The proliferation index of gcps in lobule 7 at P6 was significantly higher than in lobule 10 (p = 0.0458, Fig. 4c, see also Fig. 8a), and similar to lobule 3. At P10 the level of differentiation was significantly higher in lobule 3 compared to 7 (p = 0.0025, see also Fig. 8b). In contrast, the level of proliferation was higher in lobule 7 than in 10 with borderline significance (p = 0.0540) and appeared higher than in 3 (although not significantly) (Fig. 4c, Additional file 1: Table S3, see also Fig. 8a). The results at P10 are consistent with a more active (proliferative) EGL in lobule 7 (CZ) at later time-points compared to lobules 3 and 10, and greater differentiation in lobule 3 (AZ). In addition, when a 30’ pulse of BrdU was given at P14 or P16, many BrdU labeled cells were detected in lobules 6b and 7, whereas almost no EGL cells were present in lobule 3 (Fig. 5) or 10 (not shown). Therefore the EGL remains active at P14-P16 in the lobules of the CZ, whereas the gcps are depleted in lobules of the other zones by P14. This result is consistent with our finding that gc production is almost complete at P14 in lobules of the AZ, PZ and NZ whereas more than 10 % of gcs are produced after P14 in the CZ (Fig. 3).
Timing of gc production is least altered in the central zone of En1 +/− ;En2 −/− mutants
We next asked whether morphological changes in lobules are associated with significant changes in the timing of gc production by analyzing En1 +/− ; En2 −/− mutants that have a smaller Cb and altered foliation pattern , but normal basic cytoarchitecture. We chose this mutant in part because the AZ and PZ are preferentially diminished in these mutants. In most mutants, some of the fissures separating the AZ lobules are missing, and in all mutants the secondary fissure separating lobules 8 and 9 is greatly diminished resulting in a fusion of the two lobules. The CZ and NZ are comparatively spared, but nevertheless reduced in size (Fig. 6a, b). If the timing of gc production is important for 3D shape acquisition, then it should be altered preferentially in the AZ and PZ of these mutants.
Since a change in the timing of when two adjacent fissures form correlates with a change in the shape/size of the intervening lobule, we first determined when each fissure forms at the midline of En1 +/− ;En2 −/− mutants compared to WTs. The fissures were identified based on analyzing complete series of m-l sagittal sections . We found that the fissures started to form later in the mutant than in the WTs and that the fissures formed in a different sequence and over a shorter time window (Fig. 6c). In the WT, fissures formed between E16.5 and P5, whereas they formed between P0 and P4 in the mutants (Additional file 2: Figure S2). Interestingly, in the WT the fissures separating lobules of the AZ (primary, preculminate, precentral) and PZ (secondary) formed first, followed by the fissure separating the NZ from the PZ (posterolateral), and then the fissure separating the PZ from the CZ (prepyramidal) and finally the fissures separating lobules of the CZ (intercrural and posterior-superior). In contrast, in the mutants formation of the primary and preculminate fissures of the AZ were delayed and formed concomitantly with the normally later posterolateral fissure of the NZ, whereas the intercrural and posterior superior fissures of the CZ formed earlier than normal, with the intercrural fissure forming before the normally earlier prepyramidal fissure (Fig. 6c). Finally the secondary fissure was absent in the mutants. These results show that the timing of fissure formation is profoundly altered in the En1 +/− ;En2 −/− mutants and not simply a general delay, with two fissures of the AZ delayed in timing and two of the CZ accelerated.
We next assessed gc production in En1 +/− ;En2 −/− mutants carrying the Atoh1-Tau alleles by determining the percentage of ML area that was labeled after Tm administration at P6, P10 or P14 (stages when the differences in gc production between the CZ and other zones are large in WT)(Fig. 7) and compared the results with the measurements made previously in WT animals. Since the percentage of ML labeled is a direct measure of the portion of gcs produced after the time of marking, to assess the percentage of gcs produced at the time of marking, we used the complementary percentage of the ML that is not labeled. Because not all lobules form in mutants, we compared lobules 7 and 10 between mutant and WT, and designated the anterior-most lobule in En1 +/− ;En2 −/− mutants as 3 and compared it to lobule 3 in WTs, and lobules 8 and 9 were combined as one measurement since they are fused in the mutant. When gcps were marked at P6, we found that in the mutant the percentage of unlabeled ML area (gcs produced) was smaller in lobule 7 than in lobules 3, 8–9 and 10, as was the case in WTs, showing that more gcs are produced in lobule 7 after P6 and thus maximum gc production is later in the CZ than other regions of mutants as in WT mice (Fig. 7, Additional file 1: Table S4A). In addition, there were no significant difference between the percentages of gcs produced before P6 in any of the zones between mutants and WT (Additional file 1: Table S4B). In contrast, although the percentage of gcs that had been produced by P10 was lower in lobule 7 than in the other lobules, as in WTs (Fig. 7, Additional file 1: Table S4A) there was a significant decrease in the gcs produced in lobules 3, 10 and 8–9 before P10 in mutants compared to WT, whereas the difference was not significant for lobule 7 between WT and mutants (Fig. 7 and Additional file 1: Table S4B). At P14, the cumulative percentage of gcs produced was also diminished in the mutant lobules 3, 8–9 and 10, although not significantly, resulting in an attenuation of the differential delay in gc production between lobule 7 and the other lobules (Fig. 7, Additional file 1: Tables S4A-B). These results reveal that the degree of delay in gc production in lobule 7 compared to the other lobules is reduced in the mutant, especially at later stages. In order to be able to correct for multiple comparisons between different lobules, genotypes and time points, we reduced the number of variables by calculating the ratios of gc production between lobule 7 and each of the other lobules at each time point, and then tested whether the ratios were significantly different in the mutants compared to WT (Additional file 1: Table S4C). Consistent with our previous analysis, we found that the ratios were not significantly changed at P6 between the WT and mutant animals. However, we found a significant change in the ratios between lobule 7 and the other lobules at P10 and P14 (borderline significant for the ratio between 7 and 10 at P10). This shows that the extent of delay in gc production in lobule 7 compared to the other lobules is significantly reduced in the En1 +/− ;En2 −/− mutants compared to WTs. Since gc production appears unchanged in lobule 7 compared to WT (Additional file 1: Table S4B), the reduction in differences between lobule 7 and the others in mutants compared to WT is mainly due to a delay in gc production in lobules outside the CZ. We speculate that the delay in production of gcs in lobules of the AZ, PZ and NZ of mutants accounts for their delay in formation of fissures (foliation) in these zones.
Proliferation, differentiation and EGL thickness are differentially affected in zones of En1 +/− ;En2 −/− mutants
We next tested whether the changes in the timing of gc production could be explained by changes in the rates of proliferation and/or differentiation of gcs in particular lobules of En1 +/− ;En2 −/− mutants compare to WTs. We quantified the proliferation index and quitting fraction of gcps in lobules 3, 7 and 10 at P6 and P10 in En1 +/− ;En2 −/− mutants and En2 +/− littermate controls (Fig. 8a, b). The En2 +/− animals were chosen as controls in these experiments since En1 +/− ;En2 −/+ and En2 −/− animals were crossed to generate a reasonable yield of mutant animals. As expected, the En2 +/− animals showed similar trends as the WTs used in Fig. 4c, d, and in some cases reached additional significance, thus confirming the general trends observed using either WT or En2 +/− animals as controls. At both P6 and P10 we found that whereas in controls the level of proliferation in lobule 10 was significantly reduced compared to 7, there was no difference in En1 +/− ;En2 −/− mutants (Fig. 8a), due to an increase in the level of proliferation in the mutant lobule 10 (significant at P10) (Additional file 1: Table S5A). At both stages the proliferation indices of lobules 7 and 3 were similar between mutants and controls (Additional file 1: Table S5A). Unlike in controls where differentiation was significantly reduced in folium 7 at P6 compared to lobules 3 and 10, we observed no significant difference in the levels of differentiation between lobules 7 and 10 of En1 +/− ;En2 −/− mutants. The difference was still significant between lobules 7 and 3, although it appeared reduced compared to in the controls. These changes were associated with a significant reduction in differentiation in lobules 3 and 10 of mutants compared to controls (p = 0.023 and p = 0.0086, respectively; Additional file 1: Table S5A). The decrease in differentiation in mutant lobules 3 and 10 at P6 is consistent with our finding that fewer gcs are produced in these lobules compared to WTs before P10 (i.e., more gcs are produced after P10)(Fig. 7). At P10, the gcp differentiation rates were higher in lobule 3 than in 7 in the controls (Additional file 1: Table S5A), as described for WT animals (Additional file 1: Table S3). Although we found a small but significant increase in the level of differentiation in lobule 10 compared to 7 in the mutant, we did not detect any significant differences in the levels of differentiation in each lobule between controls and mutants, indicating that there are no strong differences between genotypes in each lobule at P10. Again, we turned to a ratio approach to determine whether the differences between lobules were changed in the mutant compared to WT taking into account the time variable. We found that the proliferation ratios were not significantly changed at P6, however, the ratio between proliferation in 10 and 7 was significantly changed at P10, further confirming the reduction of differences due to lower proliferation in lobule 10 of the mutant compared to WT at P10 (Fig. 7 and Additional file 1: Table S5B). Overall, we observed a leveling of proliferation and differentiation between mutant lobules compared to WT that is consistent with the more similar timing (delay) of maximum gc production between zones at all stages analyzed.
Finally, one important factor that contributes to gc production is the total number of gcps, reflected by the thickness and length of the EGL. Our previous studies revealed that the size of the Cb of En1 +/− ;En2 −/− mutants (and thus length of the EGL) is greatly reduced compared to WT as early as at least embryonic day 18.5 . Thus, a reduction in the initial production of gcps in the embryo is likely a primary cause of the greatly reduced size of the mutant Cb. To determine whether regional difference could account for the preferential loss of the AZ compared to the CZ, we determined the thickness of the EGL (area divided by length) during post-natal development in control (En2 −/+) and En1 +/− ;En2 −/− mutant mice. Correlating with the normal timing of gc production in controls, the EGL at P6 is thinner in the CZ than in other zones (Fig. 8c and Additional file 1: Table S6A) and thickest in the AZ, whereas at P10, the EGL of the CZ is the thickest (Fig. 8c and Additional file 1: Table S6B). Of significance, in mutants at P6 the thickness of the EGL of lobules 3 and 7 were similar, due to an apparent increase in the EGL thickness of lobule 7 compared to controls. At P10, the thickness of the EGL in all lobules of the mutants appeared greater than in controls, with lobule 7 being the thickest and significantly increased. The increase in EGL thickness in mutants is consistent with our fate mapping results showing prolonged gc generation in all zones, with the CZ producing the greatest proportion of gcs late.
To gain insight into how the diversity of cerebellar lobule shapes and sizes are generated during development, we focused on the dynamics of gc production in individual lobules as well as the four vermis zones, since gc production from proliferating precursors is crucial for the formation of lobules [33–37]. Using genetic inducible fate mapping, we first determined the timing of maximum production of gcs in individual lobules and revealed that the timing of maximum gc production in the lobules of the CZ is delayed compared to other zones. The delay in gc production in CZ lobules correlates with a thinner EGL and reduced differentiation at early postnatal stages compared to the AZ lobules and to a thicker EGL and prolonged proliferation at late stages. Furthermore, we found that in cerebella of En1 +/− ;En2 −/− mutants that have a preferential decrease in the sizes of lobules in the AZ and PZ the timing of gc production outside the CZ is delayed compared to normal and therefore all the zones are more similar (See model in Additional file 2: Figure S3). The delayed gc production in the mutant zones correlated with a thicker EGL and lower level of differentiation at P6 and a trend towards higher proliferation at P10. The differences in levels of differentiation and proliferation are mild, raising the question of whether other factors also contribute to the change in size and morphology of lobules in En1 +/− ;En2 −/− mutants. One contributor is the size of the initial pool of gcps, which is reduced in mutants, but might also be preferentially spared in the CZ of mutants. In this respect it could be relevant that we found that in the mutant the timing of formation of fissures is altered, with the fissures in the CZ (intercrural and posterior superior) actually forming earlier than in controls whereas all the others form later or not at all. There is also a much greater variability in the position of fissures in mutants compared to normal mice that can be detected at the earliest stages of foliation (Additional file 2: Figure S2). Thus, the initial proportions of the gcps allocated to each lobule is altered in the mutants compared to the WT, and this likely sets the stage for the changes in the final relative sizes of lobules in En1 +/− ;En2 −/− mutants. At late stages of development, the thickness of the EGL (with a thicker EGL producing more gcs) and gcp proliferation and differentiation then contribute to fine-tuning the final lobule size.
Role of differential timing of gc production in the overall shaping of the Cb
We recently demonstrated that once the anchoring centers at the base of the fissures are formed, they act as gcp lineage restriction barriers, and as a consequence each lobule can be considered an independent developmental compartment, possibly with distinct proliferation/differentiation properties . Furthermore, the cell number and geometry of gc clones is different in the two types of lobules: long lobules contain clones that are more elongated along the a-p than m-l axis and have a greater number of cells, suggesting that cell behaviors such as proliferation of precursors and the dispersion of their progeny are differentially regulated in individual lobules.
Our finding that the dynamics of gc production varies between lobules and over developmental time is consistent with our hypothesis that gc precursor behaviors can be differentially regulated in distinct lobules, reinforcing the concept that lobules act as developmental units. Our present study uncovered a higher order of regulation of gc production dynamics at the level of the zones, or groups of adjacent lobules, that are especially distinct in the AZ and CZ. Moreover, we previously found that the shape and size of gc clones is altered in the En1 +/− ;En2 −/− mutants, such that they resemble WT clones that are in short lobules, consistent with the En1 +/− ;En2 −/− mutant Cb being smaller than normal. Interestingly, all the vermis lobules are more similar in size in the En1 +/− ;En2 −/− mutants than in WTs, as the long lobules become shorter while the small lobules of the CZ are relatively unchanged. The thickness of the EGL is also more similar between lobules in mutants than controls at P6, as is proliferation and differentiation at P6 and P10. Interestingly, our detailed analysis of the sequential timing of formation of particular fissures in the En1 +/− ;En2 −/− mutant revealed that all the fissures form during a shorter period of time than normal. This result is consistent with the fact that the lobules of the AZ, PZ and NZ that are normally defined by fissures that form earlier than the fissures separating the lobules of the CZ are defined later in the mutants and at a time more similar to when the CZ lobules are defined. Thus, the timing of several developmental programs seem to be more similar between zones in En1 +/− ;En2 −/− mutants and this leads to the generation of lobules more similar in size than normal.
Delay in gc production in the wild-type central zone coincides with other delayed developmental processes
We found that production of gcs and thickening of the EGL is delayed in the CZ, and a larger proportion of gcs are produced after P10 than in other zones. A major contributor to the late production of gcs is prolonged proliferation in the CZ, as the EGL persists longer in late cerebellar development (after P14). Proliferation of gcps relies on the mitogen SHH secreted by the Pcs [33, 36, 38, 39]. Interestingly, the onset of Shh expression in the Pcs that underlie the CZ is delayed until after birth compared to the other zones, as well the expression of Gli1, a transcriptional target of SHH signaling in gcps .
Another indication of the relative developmental delay of the CZ compared to the other zones is the delay in the maturation of Pcs located in the CZ . By P5, Pcs of the CZ are organized in a monolayer but their morphology is not yet fully mature compared to Pcs located in other zones. In this context, it is interesting to note that the fissures separating the lobules within the CZ (posterior superior, intercrural) form later than the fissures separating lobules in the AZ (precentral, preculminate), raising the question of whether fissure formation is linked to gc production or EGL thickness.
The molecular mechanisms controlling the timing and positioning of fissures are not well understood. En1 and En2 are some of the only genes shown to play an important role in the positioning and timing of fissure formation [21, 24, 25], however, the expression pattern of En1/2 at the time of fissure formation is not indicative of where a fissure will form [27, 41]. Instead, the En genes likely control processes upstream of fissure formation. Although a few genes have expression patterns restricted to a subset of lobules (Tlx3 (or Hox11L2 or Rnx, ), Otx2 , Gli1 , Fgfs ), none are restricted to a single lobule and their roles in shaping the lobules are not clear. However, Tlx3 is mainly expressed in the CZ, Gli1 is low in the CZ before P8, and Otx2 is restricted mainly to the NZ, thus these genes might regulate the higher order gc production dynamics we have identified. SHH-GLI signaling is the main factor known to regulate gcp proliferation/differentiation. However, different levels of SHH have not been reported in Pcs of long and short lobules, although it is low in the early CZ . Therefore, a combinatorial code of gene expression might underlie generation of distinct lobule shapes/sizes, but how it would function remains to be elucidated.
Evo-Devo relevance, functional significance
The grouping of the lobules of the vermis into AP zones has a functional basis since lobules within a zone display a similar adult pattern of striped gene expression (e.g., ZebrinII, Hsp25 and PLCβ4 [4, 5]) and some mutants show zone-specific foliation defects ([27, 45]). Moreover mossy fiber afferents from distinct origins target particular zones and the lobules of each zone are included in distinct circuits: the NZ participates in the vestibular system, the AZ and PZ in the spino-cerebellar circuit and the CZ is preferentially connected to the neocortex via the pontine nucleus . Based on appearance of each zone during evolution, the vestibulocerebellum, spinocerebellum and pontocerebellum are alternatively named the archicerebellum, paleocerebellum and neocerebellum, respectively. Thus the CZ along with the hemispheres - that comprise mostly lobules continuous with the CZ lobules - are the newest to have evolved. Moreover, the cerebellar hemispheres have expanded in parallel with areas of the neocortex during evolution [47, 48], indicating that as new functions are added, new modules are developed or existing modules expended. It is therefore interesting that we found that the growth characteristics of the CZ is the most distinct compared to other lobules in the vermis. This finding is also consistent with a modular organization of the Cb, in which each lobule can be seen as an individual module harboring a specific set of circuits that can be expanded during evolution in parallel with the distant centers it connects with. Based on our results, a-p zones can be considered as groups of modules that not only share similar inputs/outputs but also similar dynamics of development events.
Our studies of WT mice reveal that gc production is differentially regulated in each of the four a-p zones of the medial vermis, and our mutant analyses highlight that the dynamics of gc production play a role in determining the 3D structure of the Cb (Additional file 2: Figure S3). In particular, the timing of gc production is specific to each lobule, most similar between lobules within a zone, and relatively delayed in the central zone lobules due to a later onset of thickening of the EGL and maximum gc production, as well as prolonged proliferation of gc progenitors. Furthermore, in Engrailed mutants with a smaller Cb and altered foliation pattern, gc production, proliferation and differentiation is altered such that the differences between zones are attenuated compared to WT mice, and most altered in lobules with the greatest morphological defects. Thus, the known modular organization of the Cb previously uncovered at the genetic, lineage, morphological and circuit organization levels are accompanied by modular regulation of gc production during development.
External granule cell layer
Inner external granule cell layer
Inner granule cell layer
Outer external granule cell layer
Purkinje cell layer
Martinez S, Andreu A, Mecklenburg N, Echevarria D. Cellular and molecular basis of cerebellar development. Front Neuroanat. 2013;7:18.
Goldowitz D, Hamre K. The cells and molecules that make a cerebellum. Trends Neurosci. 1998;21(9):375–82.
Sillitoe RV, Joyner AL. Morphology, molecular codes, and circuitry produce the three-dimensional complexity of the cerebellum. Annu Rev Cell Dev Biol. 2007;23:549–77.
Ozol K, Hayden JM, Oberdick J, Hawkes R. Transverse zones in the vermis of the mouse cerebellum. J Comp Neurol. 1999;412(1):95–111.
Armstrong CL, Hawkes R. Pattern formation in the cerebellar cortex. Biochem Cell Biol. 2000;78(5):551–62.
Larsell O. The morphogenesis and adult pattern of the lobules and fissures of the cerebellum of the white rat. J Comp Neurol. 1952;97(2):281–356.
Voogd J, Glickstein M. The anatomy of the cerebellum. Trends Neurosci. 1998;21(9):370–5.
Leto K, Arancillo M, Becker EB, Buffo A, Chiang C, Ding B, et al. Consensus Paper: Cerebellar Development. Cerebellum. 2015.
Sudarov A, Turnbull RK, Kim EJ, Lebel-Potter M, Guillemot F, Joyner AL. Ascl1 genetics reveals insights into cerebellum local circuit assembly. J Neurosci. 2011;31(30):11055–69.
Machold R, Fishell G. Math1 is expressed in temporally discrete pools of cerebellar rhombic-lip neural progenitors. Neuron. 2005;48(1):17–24.
Wang VY, Rose MF, Zoghbi HY. Math1 expression redefines the rhombic lip derivatives and reveals novel lineages within the brainstem and cerebellum. Neuron. 2005;48(1):31–43.
Komuro H, Rakic P. Dynamics of granule cell migration: a confocal microscopic study in acute cerebellar slice preparations. J Neurosci. 1995;15(2):1110–20.
Komuro H, Rakic P. Distinct modes of neuronal migration in different domains of developing cerebellar cortex. J Neurosci. 1998;18(4):1478–90.
Komuro H, Yacubova E, Yacubova E, Rakic P. Mode and tempo of tangential cell migration in the cerebellar external granular layer. J Neurosci. 2001;21(2):527–40.
Rivas RJ, Hatten ME. Motility and cytoskeletal organization of migrating cerebellar granule neurons. J Neurosci. 1995;15(2):981–9.
Solecki DJ, Model L, Gaetz J, Kapoor TM, Hatten ME. Par6alpha signaling controls glial-guided neuronal migration. Nat Neurosci. 2004;7(11):1195–203.
Solecki DJ, Trivedi N, Govek EE, Kerekes RA, Gleason SS, Hatten ME. Myosin II motors and F-actin dynamics drive the coordinated movement of the centrosome and soma during CNS glial-guided neuronal migration. Neuron. 2009;63(1):63–80.
Zong H, Espinosa JS, Su HH, Muzumdar MD, Luo L. Mosaic analysis with double markers in mice. Cell. 2005;121(3):479–92.
Espinosa JS, Luo L. Timing neurogenesis and differentiation: insights from quantitative clonal analyses of cerebellar granule cells. J Neurosci. 2008;28(10):2301–12.
Legue E, Riedel E, Joyner AL. Clonal analysis reveals granule cell behaviors and compartmentalization that determine the folded morphology of the cerebellum. Development. 2015;142(9):1661–71.
Sudarov A, Joyner AL. Cerebellum morphogenesis: the foliation pattern is orchestrated by multi-cellular anchoring centers. Neural Dev. 2007;2:26.
Altman J, Bayer SA. Development of the cerebellar system: In relation to its evolution, structure, and functions. CRC Press; 1997
Larsell O, Jansen J. The comparative anatomy and histology of the cerebellum: from monotremes through apes. Minneapolis: University of Minnesota Press; 1970.
Cheng Y, Sudarov A, Szulc KU, Sgaier SK, Stephen D, Turnbull DH, et al. The Engrailed homeobox genes determine the different foliation patterns in the vermis and hemispheres of the mammalian cerebellum. Development. 2010;137(3):519–29.
Orvis GD, Hartzell AL, Smith JB, Barraza LH, Wilson SL, Szulc KU, et al. The engrailed homeobox genes are required in multiple cell lineages to coordinate sequential formation of fissures and growth of the cerebellum. Dev Biol. 2012;367(1):25–39.
Joyner AL, Zervas M. Genetic inducible fate mapping in mouse: establishing genetic lineages and defining genetic neuroanatomy in the nervous system. Dev Dyn. 2006;235(9):2376–85.
Sgaier SK, Lao Z, Villanueva MP, Berenshteyn F, Stephen D, Turnbull RK, et al. Genetic subdivision of the tectum and cerebellum into functionally related regions based on differential sensitivity to engrailed proteins. Development. 2007;134(12):2325–35.
Hippenmeyer S, Vrieseling E, Sigrist M, Portmann T, Laengle C, Ladle DR, et al. A developmental switch in the response of DRG neurons to ETS transcription factor signaling. PLoS Biol. 2005;3(5), e159.
Wurst W, Auerbach AB, Joyner AL. Multiple developmental defects in Engrailed-1 mutant mice: an early mid-hindbrain deletion and patterning defects in forelimbs and sternum. Development. 1994;120(7):2065–75.
Millen KJ, Wurst W, Herrup K, Joyner AL. Abnormal embryonic cerebellar development and patterning of postnatal foliation in two mouse Engrailed-2 mutants. Development. 1994;120(3):695–706.
Legue E, Joyner AL. Genetic fate mapping using site-specific recombinases. Methods Enzymol. 2010;477:153–81.
Fujita S. Quantitative analysis of cell proliferation and differentiation in the cortex of the postnatal mouse cerebellum. J Cell Biol. 1967;32(2):277–87.
Corrales JD, Blaess S, Mahoney EM, Joyner AL. The level of sonic hedgehog signaling regulates the complexity of cerebellar foliation. Development. 2006;133(9):1811–21.
Altman J, Anderson WJ, Wright KA. Early effects of x-irradiation of the cerebellum in infant rats: decimation and reconstitution of the external granular layer. Exp Neurol. 1969;24(2):196–216.
Bohn MC, Lauder JM. Cerebellar granule cell genesis in the hydrocortisone-treated rats. Dev Neurosci. 1980;3(2):81–9.
Lewis PM, Gritli-Linde A, Smeyne R, Kottmann A, McMahon AP. Sonic hedgehog signaling is required for expansion of granule neuron precursors and patterning of the mouse cerebellum. Dev Biol. 2004;270(2):393–410.
Noguchi KK, Walls KC, Wozniak DF, Olney JW, Roth KA, Farber NB. Acute neonatal glucocorticoid exposure produces selective and rapid cerebellar neural progenitor cell apoptotic death. Cell Death Differ. 2008;15(10):1582–92.
Dahmane N, Ruiz i Altaba A. Sonic hedgehog regulates the growth and patterning of the cerebellum. Development. 1999;126(14):3089–100.
Malek R, Matta J, Taylor N, Perry ME, Mendrysa SM. The p53 inhibitor MDM2 facilitates Sonic Hedgehog-mediated tumorigenesis and influences cerebellar foliation. PLoS One. 2011;6(3):e17884.
Corrales JD, Rocco GL, Blaess S, Guo Q, Joyner AL. Spatial pattern of sonic hedgehog signaling through Gli genes during cerebellum development. Development. 2004;131(22):5581–90.
Wilson SL, Kalinovsky A, Orvis GD, Joyner AL. Spatially restricted and developmentally dynamic expression of engrailed genes in multiple cerebellar cell types. Cerebellum. 2011;10(3):356–72.
Shirasawa S, Arata A, Onimaru H, Roth KA, Brown GA, Horning S, et al. Rnx deficiency results in congenital central hypoventilation. Nat Genet. 2000;24(3):287–90.
Frantz GD, Weimann JM, Levin ME, McConnell SK. Otx1 and Otx2 define layers and regions in developing cerebral cortex and cerebellum. J Neurosci. 1994;14(10):5725–40.
Yaguchi Y, Yu T, Ahmed MU, Berry M, Mason I, Basson MA. Fibroblast growth factor (FGF) gene expression in the developing cerebellum suggests multiple roles for FGF signaling during cerebellar morphogenesis and development. Dev Dyn. 2009;238(8):2058–72.
Ross ME, Fletcher C, Mason CA, Hatten ME, Heintz N. Meander tail reveals a discrete developmental unit in the mouse cerebellum. Proc Natl Acad Sci U S A. 1990;87(11):4189–92.
Apps R, Hawkes R. Cerebellar cortical organization: a one-map hypothesis. Nat Rev. 2009;10(9):670–81.
Herculano-Houzel S. Coordinated scaling of cortical and cerebellar numbers of neurons. Front Neuroanat. 2010;4:12.
Balsters JH, Cussans E, Diedrichsen J, Phillips KA, Preuss TM, Rilling JK, et al. Evolution of the cerebellar cortex: the selective expansion of prefrontal-projecting cerebellar lobules. Neuroimage. 2009;49(3):2045–52.
We are grateful to Rowena Turnbull and Daniel Stephen for technical assistance, and to Cara Monaco for her help with Additional file 2: Figure S3. We thank Drs. Andrew Lawton and Ryan Willett for insightful comments on the manuscript.
This work was supported by National Institutes of Mental Health grant MH085726 to ALJ and a National Cancer Institute Cancer Center Support Grant (P30 CA008748). ARD is supported by a Charles H. Revson Foundation senior fellowship. The funders have no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.
Availability of data and materials
All mouse lines are available from Jackson laboratories. All raw data used to produce the results reported are available upon request as an excel file.
EL and ALJ conceived the experiments and wrote the manuscript; EL performed most of the experiments and analyzed the data; JLG, EJ, WS, LHB, SW and RLG performed some of the experiments. ARD performed the statistical analyses. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
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All authors read and approved the manuscript.
Ethics approval and consent to participate
All animal (mouse) studies were performed under an approved Institutional Animal Care and Use Committee mouse protocol (07-01-001) to ALJ according to Memorial Sloan Kettering Cancer Center guidelines.
Additional file 1:
Statistical analyses. Table S1A: Statistical analyses of comparisons of gc accumulation in lobules 3, 7 and 10 between 2 time-points. Table S1B: Statistical analyses of comparisons of gc accumulation between lobules 3, 7 and 10 at each time-point. Table S2. Theoretical calculation of stage for maximum gc production. Table S3. Statistical analysis of comparisons of the levels of proliferation and differentiation between lobules at each time-point. Table S4A: Statistical analysis of the comparisons of the levels of gc production between lobules at P6, P10 and P14 in WTs and in En1 -/+ ;En2 -/- mutants (mt). Table S4B: Statistical analysis of the comparisons of the levels of gc production in each lobule between WTs and En1 -/+ ;En2 -/- mutants. Table S4C: Statistical analysis of the comparisons of the ratio between gc production in lobule 7 and other lobules between WTs and En1 -/+ ;En2 -/- mutants. Table S5A: Statistical analysis of the comparisons, at P6 or P10, of the levels of proliferation and differentiation between lobules and between control (ctr) and En1 -/+ ;En2 -/- mutant (mt). Table S5B: Statistical analysis of the comparisons between genotypes of the ratios between lobule 7 and other lobules. Table S6A: Statistical analysis of the comparisons of EGL thickness between lobules and between control (ctr) and En1 -/+ ;En2 -/- mutant (mt) at P6. Table S6B: Statistical analysis of the comparisons of EGL thickness between lobules and between control (ctr) and En1 -/+ ;En2 -/- mutant (mt) at P10. (DOC 113 kb)
Additional file 2:
Figure S1: Rate of accumulation of gcs over time in each lobule. Figure S2: Foliation is greatly delayed and the pattern is highly variable in En1 +/- ;En2 -/- mutants. Figure S3: Model of how changes in fissure formation and production of gcs in the anterior cerebellum can alter the morphology of lobules. (PDF 648 kb)
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Legué, E., Gottshall, J.L., Jaumouillé, E. et al. Differential timing of granule cell production during cerebellum development underlies generation of the foliation pattern. Neural Dev 11, 17 (2016). https://doi.org/10.1186/s13064-016-0072-z
- Engrailed genes