Literature DB >> 20169146

Identification of novel glial genes by single-cell transcriptional profiling of Bergmann glial cells from mouse cerebellum.

Samir Koirala1, Gabriel Corfas.   

Abstract

Bergmann glial cells play critical roles in the structure and function of the cerebellum. During development, their radial processes serve as guides for migrating granule neurons and their terminal endfeet tile to form the glia limitans. As the cerebellum matures, Bergmann glia perform important roles in synaptic transmission and synapse maintenance, while continuing to serve as essential structural elements. Despite growing evidence of the diverse functions of Bergmann glia, the molecular mechanisms that mediate these functions have remained largely unknown. As a step toward identifying the molecular repertoire underlying Bergmann glial function, here we examine global gene expression in individual Bergmann glia from developing (P6) and mature (P30) mouse cerebellum. When we select for developmentally regulated genes, we find that transcription factors and ribosomal genes are particularly enriched at P6 relative to P30; whereas synapse associated molecules are enriched at P30 relative to P6. We also analyze genes expressed at high levels at both ages. In all these categories, we find genes that were not previously known to be expressed in glial cells, and discuss novel functions some of these genes may potentially play in Bergmann glia. We also show that Bergmann glia, even in the adult, express a large set of genes thought to be specific to stem cells, suggesting that Bergmann glia may retain neural precursor potential as has been proposed. Finally, we highlight several genes that in the cerebellum are expressed in Bergmann glia but not astrocytes, and may therefore serve as new, specific markers for Bergmann glia.

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Year:  2010        PMID: 20169146      PMCID: PMC2820553          DOI: 10.1371/journal.pone.0009198

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The Bergmann glial cell is a type of astroglia that performs a range of important functions in the cerebellum throughout the life of the animal. During development, the radial processes of Bergmann glia provide structural support to the expanding cerebellar plate, and endfeet of these cells adhere together to form a continuous glia limitans overlying the cerebellum [1], [2], [3]. The radial fibers of Bergmann glia also act as essential guide rails for the migration of cerebellar granule cells [4], [5]. Mice with Bergmann glial defects during development have severe abnormalities including pial rupture, disrupted neuronal migration and layering, and altered connectivity [6], [7]. In addition, it has been proposed that Bergmann glia also contribute to the elaboration of Purkinje cell dendrites [8], [9], [10] and the stabilization of synaptic connections onto these neurons [11]. After completion of cerebellar morphogenesis, Bergmann glia remain important for structural support [12], [13], but also serve additional roles in synapse maintenance, function and plasticity [14], [15], [16], [17]. Bergmann glial processes ensheathe synapses on Purkinje cells, and play a supportive role in normal transmission by maintaining a physiological synaptic microenvironment. This involves buffering of ions, uptake of neurotransmitters, and production of glutamine, which neurons then convert to glutamate [16], [18], [19]. Recent studies suggest that Bergmann glia may also play more active roles at synapses. These cells respond to synaptic activity and locomotor behavior with Ca++ elevations in vivo [20], and may in turn modulate synaptic transmission, synaptic plasticity, and blood perfusion changes around synapses [20], [21], [22]. Despite growing recognition of the diverse roles of Bergmann glia, the molecular mechanisms that mediate these roles remain largely unexplored. As a step toward addressing this gap in knowledge, we analyzed global gene expression in single acutely isolated Bergmann glia from the developing cerebellum (P6), during the peak of granule cell migration along glial fibers, and from the adult (P30), when developmental processes are complete and Bergmann glial processes have ensheathed synapses. We then compared gene expression profiles between Bergmann glia at these two ages, and also with data obtained previously from astrocytes [23] or stem cells [24]. In situ hybridization and online gene expression atlases were used to validate Bergmann glial expression of genes of interest. Our analysis shows that although Bergmann glia robustly express many astroglial genes, as expected, there are also genes that appear to be Bergmann glia-specific, and may be useful as new markers and tools to manipulate this cell type. In addition, we identify a number of genes as potential candidates to mediate Bergmann glial roles in maintenance of cerebellar morphology, and in synaptic structure and function. Surprisingly, we also find that Bergmann glia express a large set of genes thought to be expressed specifically in stem cells, suggesting that this glial type may harbor progenitor potential. Together, this information should be useful to future studies of Bergmann glia and glial cells in general.

Results

Single Cell Isolation and cDNA Synthesis from Bergmann Glia

To examine gene expression in Bergmann glia, we chose a single-cell cDNA library approach [25] using acutely isolated cells from the cerebella of mice expressing GFP under the Glial fibrillary acidic protein (Gfap) promoter [26]. As shown Fig. 1Ai, Bergmann glial cell bodies could be easily visualized by their robust GFP expression in a live slice from a GFAP-GFP mouse cerebellum. After gentle dissociation of the tissue, four main types of cells were seen. Most cells were small with round cell bodies and lacked GFP signal (arrows in Fig. 1Aii), and most likely represent granule cells. Another frequent cell type had round cell bodies and relatively weak GFP fluorescence (arrowheads in Fig. 1Aii), almost certainly representing astrocytes. A third cell type, with large cell bodies and no fluorescence, we identified as Purkinje cells (not shown). Finally, a rather infrequent type (<1% of cells) could be readily distinguished from the others by a distinctive “bushy” unipolar morphology and strong GFP expression (arrowheads in Fig. 1Aiii). These putative Bergmann glia and some GFP- cells as controls were harvested individually using glass microelectrodes (Fig. 1Aiv). To minimize the possibility of contamination from other mRNAs, each cell was subjected to a rinse in a new dish with fresh buffer and picked with a new microelectrode before cDNAs were generated using protocols described before [25], [27], [28]. In line with these protocols, single cell RT-PCR amplification generated cDNAs of 300–1000 base pairs (Fig. 1B, left panel). The single cell cDNAs were then subjected to rigorous quality control using PCR (Fig. 1B, right panels). Single cell cDNA libraries were considered to be of good quality if they were positive for high (β-actin or Actb) and low abundance (ornithine decarboxylase or Odc) markers, confirming that mRNAs of widely varying abundance were preserved during the RT-PCR amplification. High quality cDNAs of GFP+ and GFP− cells were then further characterized. GFP+ cells were positive for Gfap but negative for neurofilament light chain (Nefl), confirming that they were glia and that the samples were free of contaminating neuronal mRNA. GFP− cells were negative for Gfap and positive for Nefl, indicating they were most likely neurons. Finally, an additional quality control step was performed using Southern blot analysis (Fig. 1C). GFP+ and GFP− cells were positive for high, medium, and two low abundance transcripts (Actb, high; γ-actin or Actg, medium; Odc and protein phosphatase 1cα or Ppp1ca, low), indicating good amplification. GFP+ cells were positive for Gfap, fatty acid binding protein 7 or Fabp7 (also called brain lipid binding protein or BLBP), Sept4 (Septin 4) and the glutamate transporter, Slc1a3 (GLAST), confirming that they were astroglial cells. They were negative for the neuronal markers Nefl and microtubule-associated protein 2 (Mtap2). Conversely, GFP− cells were negative for glial markers but positive for neuronal ones, confirming their identity as neurons.
Figure 1

Harvesting of individual Bergmann glia and quality control of single-cell cDNA.

Ai, a live cerebellar slice obtained from an adult GFAP-GFP transgenic mouse imaged under phase contrast optics (left) and fluorescence illumination (right). The Bergmann glia (see arrowheads) are the cells with the most fluorescence. Aii, freshly dissociated cells include putative astrocytes, which are devoid of processes and show relatively weak GFP fluorescence (arrowheads), and putative granule neurons, which have small, round, GFP-negative cell bodies (arrows). Aiii, a freshly dissociated Bergmann glia (arrowhead in left panel) can be distinguished from other cells by the bushy processes that emanate from one side of the soma–these are the long Bergmann glial processes that have partially retracted or been sheared off during tissue dissociation. In addition, Bergmann glia display strong GFP fluorescence (arrowhead in right panel), with the mean GFP intensity of their cell bodies 2.9±0.8 fold that of astrocytes; n = 17 cells). Aiv, a single Bergmann glia being washed by placement in a new dish containing fresh buffer, before being picked again with a new microelectrode. This step is performed to exclude contaminating cells or mRNAs. Scale bar, 70 µm in Ai, 25 µm in Aii and Aiii, 40 µm in Aiv. B, left panel, agarose gel electrophoresis of cDNAs generated from single GFP+ and GFP− cells. The gels show that most of the cDNA lies between 300 and 1000 bases. Right panel, agarose gels showing PCR with primer pairs directed towards β-actin (Actb), ornithine decarboxylase (Odc), Gfap, and neurofilament light chain (Nefl). The results show that the single cell cDNAs from Bergmann glia (GFP+) and neurons (GFP−) contain both high and low abundance transcripts (Actb and Odc, respectively). Bergmann glia are positive for the astroglial marker Gfap and negative for the neuronal marker Nefl, whereas neurons are negative for Gfap and positive for Nefl. C. Southern blot analysis of cDNAs from two putative Bergmann glial cells (GFP+) and a putative neuron (GFP−) shows presence of the high, medium, and two low abundance markers (Actb, Actg, and Odc and Ppp1ca, respectively). In addition, the GFP+ cells are positive for Gfap, Fabp7 (BLBP), Sept4 and Slc1a3 (GLAST), confirming their glial identity, whereas the GFP− cell lacks all these markers. Conversely, the GFP+ cells are absent for the neuronal markers Nefl and Mtap2 whereas the GFP− cell is positive. These results confirm the preservation of low to high abundance transcripts after the single-cell RT-PCR amplification, and also confirm the cell identity of the Bergmann glia used for microarray analysis.

Harvesting of individual Bergmann glia and quality control of single-cell cDNA.

Ai, a live cerebellar slice obtained from an adult GFAP-GFP transgenic mouse imaged under phase contrast optics (left) and fluorescence illumination (right). The Bergmann glia (see arrowheads) are the cells with the most fluorescence. Aii, freshly dissociated cells include putative astrocytes, which are devoid of processes and show relatively weak GFP fluorescence (arrowheads), and putative granule neurons, which have small, round, GFP-negative cell bodies (arrows). Aiii, a freshly dissociated Bergmann glia (arrowhead in left panel) can be distinguished from other cells by the bushy processes that emanate from one side of the soma–these are the long Bergmann glial processes that have partially retracted or been sheared off during tissue dissociation. In addition, Bergmann glia display strong GFP fluorescence (arrowhead in right panel), with the mean GFP intensity of their cell bodies 2.9±0.8 fold that of astrocytes; n = 17 cells). Aiv, a single Bergmann glia being washed by placement in a new dish containing fresh buffer, before being picked again with a new microelectrode. This step is performed to exclude contaminating cells or mRNAs. Scale bar, 70 µm in Ai, 25 µm in Aii and Aiii, 40 µm in Aiv. B, left panel, agarose gel electrophoresis of cDNAs generated from single GFP+ and GFP− cells. The gels show that most of the cDNA lies between 300 and 1000 bases. Right panel, agarose gels showing PCR with primer pairs directed towards β-actin (Actb), ornithine decarboxylase (Odc), Gfap, and neurofilament light chain (Nefl). The results show that the single cell cDNAs from Bergmann glia (GFP+) and neurons (GFP−) contain both high and low abundance transcripts (Actb and Odc, respectively). Bergmann glia are positive for the astroglial marker Gfap and negative for the neuronal marker Nefl, whereas neurons are negative for Gfap and positive for Nefl. C. Southern blot analysis of cDNAs from two putative Bergmann glial cells (GFP+) and a putative neuron (GFP−) shows presence of the high, medium, and two low abundance markers (Actb, Actg, and Odc and Ppp1ca, respectively). In addition, the GFP+ cells are positive for Gfap, Fabp7 (BLBP), Sept4 and Slc1a3 (GLAST), confirming their glial identity, whereas the GFP− cell lacks all these markers. Conversely, the GFP+ cells are absent for the neuronal markers Nefl and Mtap2 whereas the GFP− cell is positive. These results confirm the preservation of low to high abundance transcripts after the single-cell RT-PCR amplification, and also confirm the cell identity of the Bergmann glia used for microarray analysis.

Purity and Accuracy of Expression Profiles of Individual Bergmann Glia

To examine the global transcriptional profiles of Bergmann glia, the amplified cDNA generated from five P6 and five P30 cells were individually hybridized to Affymetrix 430 2.0 Mouse Expression Arrays. On average, 31.7±1.5% of the 45101 probe sets per array showed positive expression at P6, and 27.5±2.3% at P30. Expression profiles of all the Bergmann glia demonstrated high levels of expression of known astrocyte-specific genes [23], consistent with their long-held classification as specialized astroglia (Fig. 2). In contrast, the expression of several genes considered to be markers for neurons, oligodendrocytes or microglia [23] was low or absent (Fig. 2), confirming that the samples were indeed free from contaminating mRNAs from other cell types.
Figure 2

Expression profiles of cell type control genes confirm purity of Bergmann glial cDNA generated by single cell RT-PCR.

Mean expression levels of well established markers for astroglia, neurons, oligodendrocytes and microglia were analyzed in the transcriptional profiles of ten Bergmann glia (five each from P6 and P30) using GeneSpring GX 7.3 software. For genes represented by multiple probe sets, the averaged expression of all probe sets were used. Astroglial genes were robustly expressed whereas markers of other cell types were absent or extremely low, confirming the astroglial identity of Bergmann glia and the absence of contaminating mRNAs from other cell types during cell harvesting. Error bars represent ± SEM.

Expression profiles of cell type control genes confirm purity of Bergmann glial cDNA generated by single cell RT-PCR.

Mean expression levels of well established markers for astroglia, neurons, oligodendrocytes and microglia were analyzed in the transcriptional profiles of ten Bergmann glia (five each from P6 and P30) using GeneSpring GX 7.3 software. For genes represented by multiple probe sets, the averaged expression of all probe sets were used. Astroglial genes were robustly expressed whereas markers of other cell types were absent or extremely low, confirming the astroglial identity of Bergmann glia and the absence of contaminating mRNAs from other cell types during cell harvesting. Error bars represent ± SEM. To determine the level of heterogeneity between samples of the same and different ages, we performed two analyses. Pair-wise comparisons of all individual samples showed that cells from the same age are more similar than between ages (same age: mean correlation coefficient = 0.8 for P6, 0.82 for P30; between ages: mean correlation coefficient = 0.66; representative samples shown in Fig. 3A). The similarity between cells of the same age is comparable to that reported between individual cells of a glioblastoma cell line (mean correlation coefficient = 0.86; [25], using very similar techniques, suggesting that Bergmann glia from a particular age and sagittal location (vermis) are quite homogeneous. The similarity between the two ages (mean correlation coefficient = 0.66) is significantly higher than for disparate cell types (for example, olfactory epithelium neurons vs. heart cells, mean correlation coefficient = 0.42; [25], as expected for cells of the same type. Unsupervised hierarchical clustering of the samples indicated that cells were more distinct between ages than within each age (Fig. 3B). Taken as a whole, these results affirm the cell-type specificity and reproducibility of single cell expression profiling, and the validity of comparisons between ages.
Figure 3

Single cell RT-PCR of individual Bergmann glia is sufficiently accurate for comparison of expression profiles by age.

A, Scatter plots of raw gene expression level compared between two cells from the same age (P6-1 vs. P6-2; left panel) and between ages (P6-1 vs. P30-1; right panel) (a.u.: arbitrary units). The samples from the same age show high similarity (mean within-age correlation coefficient = 0.81), which is comparable to what is reported between individual cells of a glioblastoma cell line (0.86) [25]. The high level of concordance between samples of the same age increases the reliability of comparisons between ages. Samples of different ages are significantly more divergent (mean P6 vs. P30 correlation coefficient = 0.66). B, Dendrogram and sample clustering of individual Bergmann glia. Unsupervised hierarchical clustering based on overall gene expression profiles reveals two distinct clusters corresponding to the two ages, P6 and P30. This suggests that the samples from the two ages do indeed represent two statistically distinct populations suitable for valid comparison.

Single cell RT-PCR of individual Bergmann glia is sufficiently accurate for comparison of expression profiles by age.

A, Scatter plots of raw gene expression level compared between two cells from the same age (P6-1 vs. P6-2; left panel) and between ages (P6-1 vs. P30-1; right panel) (a.u.: arbitrary units). The samples from the same age show high similarity (mean within-age correlation coefficient = 0.81), which is comparable to what is reported between individual cells of a glioblastoma cell line (0.86) [25]. The high level of concordance between samples of the same age increases the reliability of comparisons between ages. Samples of different ages are significantly more divergent (mean P6 vs. P30 correlation coefficient = 0.66). B, Dendrogram and sample clustering of individual Bergmann glia. Unsupervised hierarchical clustering based on overall gene expression profiles reveals two distinct clusters corresponding to the two ages, P6 and P30. This suggests that the samples from the two ages do indeed represent two statistically distinct populations suitable for valid comparison.

Identification of Genes that Are Developmentally Regulated in Bergmann Glia

Genes expressed differentially between P6 and P30 were identified using two criteria: those with a greater than 3-fold difference in normalized expression between ages, and those that were flagged “present” at one age and “absent” at the other. In total, 435 genes were found to fit the criteria for P6>P30 expression (Table S1), and 137 fit the criteria for P30>P6 expression (Table S2). Of these, the top twenty most differentially expressed probe sets determined using the two approaches are shown in Tables 1 and 2 for P6>P30 and in Tables 3 and 4 for P30>P6. Genes in all tables were categorized and annotated based on functional information obtained in online databases and/or previous studies.
Table 1

Top 20 probe-sets showing largest fold-difference in expression (P6>P30).

Probe IDGene SymbolFold ChangeDescriptionFunctional Classification
1448182_a_atCd24a317.5CD24a antigencell cycle regulation
1456010_x_atHes5264.3hairy and enhancer of split 5 (Drosophila)regulation of transcription
1416200_atIl33248.6interleukin 33cytokine signaling
1435612_atOpcml233opioid binding protein/cell adhesion molecule-likecell adhesion or repulsion
1454778_x_atRps28200.7Ribosomal protein S28, mRNAcomponent of ribosome
1421100_a_atDab1181.8disabled homolog 1 (Drosophila)regulation of cell adhesion
1455085_at1700086L19Rik177.9RIKEN cDNA 1700086L19 genefunction unknown
1448842_atCdo1170.9cysteine dioxygenase 1, cytosolicmetabolic functions
1415945_atMcm5164.7minichromosome maintenance deficient 5cell cycle regulation
1436808_x_atMcm5156.2minichromosome maintenance deficient 5cell cycle regulation
1419123_a_atPdgfc143.6platelet-derived growth factor Cgrowth factor signaling
1429372_atSox11140.7SRY-box containing gene 11regulation of transcription
1418310_a_atRlbp1140retinaldehyde binding protein 1transporter activity
1436505_atPpig137peptidyl-prolyl isomerase G (cyclophilin G)protein folding
1460011_atCyp26b1135.1cytochrome P450, family 26, b1morphogenesis/patterning
1426307_atCyb5r4129.2cytochrome b5 reductase 4metabolic functions
1424010_atMfap4121.3microfibrillar-associated protein 4cell adhesion or repulsion
1423763_x_atRps28117.7Ribosomal protein S28, mRNAcomponent of ribosome
1428466_atChd3114.9chromodomain helicase DNA binding protein 3chromatin remodeling
1425052_atIsoc1107.8isochorismatase domain containing 1metabolic functions
Table 2

Top 20 probe-sets present at P6 and absent at P30 (ranked by P values).

Probe IDGene SymbolP valueDescriptionFunctional classification
1448842_atCdo15.28E-06cysteine dioxygenase 1, cytosolicmetabolic functions
1454778_x_atRps282.89E-05Ribosomal protein S28, mRNAcomponent of ribosome
1448182_a_atCd24a6.02E-05CD24a antigencell cycle regulation
1433928_a_atRpl13a6.02E-05ribosomal protein L13acomponent of ribosome
1435612_atOpcml0.0001opioid binding protein/cell adhesion molecule-likecell adhesion or repulsion
1460011_atCyp26b10.00012cytochrome P450, family 26, b1morphogenesis/patterning
1418310_a_atRlbp10.00012retinaldehyde binding protein 1transporter activity
1455085_at1700086L19Rik0.00012RIKEN cDNA 1700086L19 genefunction unknown
1433935_atAU0202060.00016expressed sequence AU020206function unknown
1419123_a_atPdgfc0.00016platelet-derived growth factor Cgrowth factor signaling
1449013_atEef2k0.00016eukaryotic elongation factor-2 kinaseprotein biosynthesis
1452499_a_atKif2a0.00021kinesin family member 2Amicrotubule based motor
1454867_atMn10.00025meningioma 1cell growth and proliferation
1416200_atIl330.00035interleukin 33cytokine signaling
1420329_at4930455C21Rik0.00036RIKEN cDNA 4930455C21 genetransporter activity
1416107_atNsg20.00036neuron specific gene family member 2intracellular signaling
1417038_atSept90.00045septin 9cell cycle regulation
1421100_a_atDab10.00053disabled homolog 1regulation of cell adhesion
1456010_x_atHes50.00063hairy and enhancer of split 5regulation of transcription
1424275_s_atTrim410.00085tripartite motif-containing 41function unknown
Table 3

Top 20 probe-sets showing largest fold-difference in expression (P30>P6).

Probe IDGene SymbolFold changeDescriptionFunctional classification
1438044_at1700047M11Rik293.1RIKEN cDNA 1700047M11 genefunction unknown
1434264_atAnk2266.8ankyrin 2, brainsynapse structure and function
1418288_atLpin1169.8lipin 1metabolic functions
1439568_atGreb1159.4gene regulated by estrogen in breast cancer proteinelectron transport
1430268_at9630005C17Rik154.6RIKEN cDNA 9630005C17 genefunction unknown
1448428_atNbl1143.3neuroblastoma, suppression of tumorigenicity 1cell cycle regulation
1427284_a_atTtpa137.4tocopherol (alpha) transfer proteintransporter activity
1434121_atLgi4126.1leucine-rich repeat LGI family, 4cell-cell interaction
1434265_s_atAnk2108.7ankyrin 2, brainsynapse structure and function
1435436_atEpas1101.2endothelial PAS domain protein 1regulation of transcription
1436470_atRims297.07regulating synaptic membrane exocytosis 2exocytosis
1456642_x_atS100a1095.89S100 calcium binding protein A10 (calpactin)intracellular signaling
1421841_atFgfr395.79fibroblast growth factor receptor 3growth factor signaling
1456523_atC7771395.74expressed sequence C77713function unknown
1416762_atS100a1085.57S100 calcium binding protein A10 (calpactin)intracellular signaling
1451718_atPlp180.05proteolipid protein (myelin) 1myelin-associated
1438193_atNrxn372.57neurexin IIIsynapse structure and function
1433788_atNrxn369.35neurexin IIIsynapse structure and function
1423602_atTraf167.72Tnf receptor-associated factor 1intracellular signaling
1417220_atFah65.95fumarylacetoacetate hydrolasehydrolase activity
Table 4

Top 20 probe-sets present at P30 and absent at P6 (ranked by P values).

Probe IDGene SymbolP valueDescriptionFunctional classification
1434265_s_atAnk23.60E-06ankyrin 2, brainsynapse structure and function
1434264_atAnk23.60E-06ankyrin 2, brainsynapse structure and function
1438044_at1700047M11Rik7.65E-05RIKEN cDNA 1700047M11 genefunction unknown
1436173_atDlc10.00087Deleted in liver cancer 1 (Dlc-1)intracellular signaling
1451784_x_atH2-D10.00087histocompatibility 2, D region locus 1MHC class I receptor
1439568_atGreb10.00087gene regulated by estrogen in breast cancer proteinelectron transport
1423523_atAass0.0011aminoadipate-semialdehyde synthasemetabolic functions
1438193_atNrxn30.0011neurexin IIIsynapse structure and function
1420709_s_atDao10.0011D-amino acid oxidase 1D-amino acid pathway
1425545_x_atH2-D10.00151histocompatibility 2, D region locus 1MHC class I receptor
1436205_atNfasc0.00186neurofascinsynapse structure and function
1417220_atFah0.00186fumarylacetoacetate hydrolasehydrolase activity
1425567_a_atAnxa50.00189annexin A5intracellular signaling
1434121_atLgi40.00191leucine-rich repeat LGI family, 4intracellular signaling
1417629_atProdh0.00194proline dehydrogenasemetabolic functions
1420545_a_atChn10.00346chimerin (chimaerin) 1intracellular signaling
1427284_a_atTtpa0.00346tocopherol (alpha) transfer proteinion transport
1436470_atRims20.00346regulating synaptic membrane exocytosis 2exocytosis
1418288_atLpin10.00346lipin 1metabolic functions
1421841_atFgfr30.00346fibroblast growth factor receptor 3growth factor signaling
We found that the set of genes expressed more highly at P6 is enriched in molecules known or predicted to be involved in cell growth and/or proliferation, cell cycle regulation, protein biosynthesis and other metabolic pathways, RNA processing and transport, and transcriptional regulation (including a large number of transcription factors) (Table S1). This suggests that at P6 Bergmann glia are in a state of active metabolism and growth, and some of them may potentially still be undergoing proliferation. The higher expression levels of ribosomal genes is also indicative of cells in a state of growth [29], [30], consistent with the postnatal extension and elaboration of Bergmann glial processes. On the other hand, the genes enriched at P30 include a different set of functional categories, namely molecules known or predicted to be involved in maintaining synapse structure and function, regulating exocytosis, forming gap junctions, and mediating molecular transport (including ion, protein, and carbohydrate transporters) (Table S2). This result suggests that a key role of Bergmann glia in the adult cerebellum is to support/modulate synaptic function, and identifies some potential molecular players that may mediate this role. Interestingly, many of the differentially expressed genes in both sets (P6>P30 and P30>P6) have not previously been reported to be present in astroglial cells (Table 5), based on a search of the literature and exclusion of astrocyte-enriched genes listed by Cahoy and colleagues [23]. Further study of these genes, some of which are discussed below, may provide new insight into molecular mechanisms underlying Bergmann glial functions.
Table 5

Differentially expressed (P6 vs. P30) genes in Bergmann glia not previously known to be present in astroglia.

Gene SymbolDescriptionFunctional ClassificationAge
Hs6st1heparan sulfate 6-O-sulfotransferase 1cell adhesion or guidanceP6
Sema6asemaphorin 6Acell adhesion or guidanceP6
Cd24aCD24a antigencell cycle regulationP6
Atxn2ataxin 2cell growth and/or proliferationP6
Asxl1additional sex combs like 1 (Drosophila)chromatin remodelingP6
Nnatneuronatinfunction unknownP6
Neurl2neuralized-like 2intracellular signaling (notch)P6
Shroom3shroom family member 3morphogenesis/pattern formationP6
Shfm1split hand/foot malformation (ectrodactyly) type 1protein processingP6
Adamts12a disintegrin-like metallopeptidase, thrombospondin 1 motif, 12proteolysis and/or cell-ECM interactionP6
Solhsmall optic lobes homologproteolysis and/or cell-ECM interactionP6
Bmi1Bmi1 polycomb ring finger oncogeneregulation of transcriptionP6
Myef2myelin basic protein expression factor 2, repressorregulation of transcriptionP6
Zfp131zinc finger protein 131regulation of transcriptionP6
Zfp260zinc finger protein 260regulation of transcriptionP6
Zfp414zinc finger protein 414regulation of transcriptionP6
Zfp532zinc finger protein 532regulation of transcriptionP6
Zfp560zinc finger protein 560regulation of transcriptionP6
Zfp651zinc finger protein 651regulation of transcriptionP6
Zfp704zinc finger protein 704regulation of transcriptionP6
Cyp26b1cytochrome P450, family 26, subfamily b, polypeptide 1retinoic acid signalingP6
Smn1survival motor neuron 1RNA synthesis or processingP6
SnapapSNAP-associated proteinvesicle exocytosisP6
Syt16synaptotagmin XVIvesicle exocytosisP6
Hap1huntingtin-associated protein 1vesicle transportP6
Dlc1Deleted in liver cancer 1 (Dlc-1)cell adhesion or repulsionP30
Gpr89G protein-coupled receptor 89GPCR signalingP30
Chn1chimerin (chimaerin) 1intracellular signalingP30
Plp1proteolipid protein (myelin) 1myelin-associatedP30
Nfascneurofascinsynapse structure and functionP30
Nrxn3neurexin IIIsynapse structure and functionP30
Rims2regulating synaptic membrane exocytosis 2transporter activity/exocytosisP30
In addition to individual genes, we also sought to identify signaling and metabolic pathways that are preferentially active in Bergmann glia at P6 or at P30. To do this, we utilized the Ingenuity Pathway Analysis (IPA) tool from Ingenuity Systems, a resource based on a curated list of all canonical signaling and metabolic pathways [31]. IPA analysis of the differentially expressed gene sets in our data identified nine signaling or metabolic pathways statistically enriched at P6 and nine enriched at P30 (Table 6). The pathways enriched at P6 include the Notch, TGF-β and Wnt/β-catenin signaling pathways, which have key developmental roles in cell fate determination, cell growth, proliferation and maturation. The Notch pathway has been shown to be important for Bergmann glial specification and maturation [32], [33], [34], but the potential roles of the other pathways we have identified remain untested. At P30, the statistically enriched signaling pathways included the glutamate receptor signaling pathway, underscoring a role for Bergmann glia in synapse function/modulation. Unexpectedly, another enriched pathway is the embryonic stem cell pluripotency pathway, a finding that we discuss in greater detail below.
Table 6

Signaling and metabolic pathways enriched in Bergmann glia.

Enriched at P6
PathwayP-value
Aryl Hydrocarbon Receptor Signaling2.0E-03
Notch Signaling5.4E-03
Pantothenate and CoA Biosynthesis5.5E-03
Cell Cycle: G2/M DNA Damage Checkpoint Regulation7.9E-03
Glycosphingolipid Biosynthesis - Ganglioseries1.5E-02
CD27 Signaling in Lymphocytes2.0E-02
Mitotic Roles of Polo-Like Kinase2.4E-02
TGF-beta Signaling2.4E-02
Wnt/beta-catenin Signaling3.6E-02
We were also surprised to find that at P6 Bergmann glia express a number of genes that have been traditionally thought of as neuron-specific (see Table S3). While we cannot completely exclude the possibility of contamination by some neuronal mRNAs, our quality control analysis (Fig. 2) argues against this, as does the finding that some of these are also enriched in cortical astrocytes [23]. We therefore believe that these genes are expressed by Bergmann glia in addition to neurons, but that the level of expression in glia may be significantly lower than in neurons, causing them not to have been detected in the glia by other techniques such as in situ hybridization. We believe one of the strengths of our analysis is that we have not subtracted out genes thought to be specific to other cell types from our microarray data, and therefore we can detect genes that may be present in multiple cell types, even if they are more abundant in other cells than in Bergmann glia.

Analysis of Genes Abundantly Expressed in Postnatal Bergmann Glia (P6 and P30) and Identification of Novel Cell-Specific Markers

To gain further insight into the molecular makeup of Bergmann glia in the postnatal cerebellum, we also searched for genes that are expressed at both P6 and P30 at moderate to high levels (raw signal values >2000) (Table S4). As expected, this extensive list includes many astroglial markers such as vimentin, S100β, aquaporin 4 and aldehyde dehydrogenase 1 family, member L1 (Aldh1L1) [23]. It also includes genes not previously known to be expressed in astroglia, some of which are listed in Table 7.
Table 7

Genes with abundant Bergmann glial expression (at both P6 and P30) that were not previously known to be present in astroglia.

Gene SymbolDescriptionFunctional ClassificationAge
Cdh22cadherin 22cell adhesion or ECM bindingP6, P30
Celsr2cadherin EGF LAG seven-pass G-type receptor 2cell adhesion or ECM bindingP6, P30
Cbx3chromobox homolog 3chromatin remodelingP6, P30
Gpr153G protein-coupled receptor 153GPCR signalingP6, P30
Gpsm1G-protein signalling modulator 1 (AGS3-like, C. elegans)GPCR signalingP6, P30
Kcnb1potassium voltage gated channel, Shab-related subfamilyion channel or receptor activityP6, P30
Edf1endothelial differentiation-related factor 1regulation of transcriptionP6, P30
Tcfl5transcription factor-like 5 (basic helix-loop-helix)regulation of transcriptionP6, P30
Stx5asyntaxin 5ASNARE receptor activityP6, P30
Stx8syntaxin 8SNARE receptor activityP6, P30
Kcnb1potassium voltage gated channel, Shab-related subfamilyion channel or receptor activityP6, P30
Cbx3chromobox homolog 3chromatin remodelingP6, P30
While examining the set of abundantly expressed genes, we found, surprisingly, that Bergmann glia express mRNA for the myelin protein peripheral myelin protein (Pmp22) and for myelin protein zero-like 1 (Mpzl1), which may be important for myelination [35] (Table S4). Furthermore, in the adult, Bergmann glia also express mRNAs for proteolipid protein 1 (Plp1), the predominant component of CNS myelin, and leucine-rich repeat LGI family, member 4 (Lgi4), which is important for myelination in the PNS [36] (Table S2). These findings were supported by in situ hybridization data from the Allen Brain Atlas (Fig. S1): although the strongest expression of Pmp22 and Plp1 in the adult is in putative oligodendrocytes (arrows in Fig. S1, top and second row), there is less intense but still significant staining in the Purkinje cell layer (PCL) consistent with expression in Bergmann glia (arrowheads). Lgi4 (Fig. S1, third row) and Mpzl1 (arrowheads in Fig. S1, bottom row) also show labeling consistent with expression in Bergmann glia. Since Bergmann glia play no known role in myelination, it is unknown what alternate function these genes may serve in these cells. Our data also indicated that Bergmann glia express agrin in vivo at P6 and P30 (Table S4), similar to what been shown in astrocytes in vitro [37]. Whether agrin synthesized by Bergmann glia plays any role in synapse formation or maintenance in vivo merits further investigation. Analysis of in situ hybridization data for genes we found expressed in adult Bergmann glia identified several candidates that we believe may serve as selective markers for Bergmann glia. Within the adult cerebellum, the expression of four genes, leucine zipper protein 2 (Luzp2), G protein-coupled receptor 89 (Gpr89), leucine-rich repeat LGI family, member 4 (Lgi4), and Growth and differentiation factor 10 (Gdf10) appears to be restricted solely to the Purkinje cell layer (Fig. S2); and the cellular expression patterns of these genes within the PCL closely match those of well established astroglial markers expressed by Bergmann glia (Fig. S3). However, unlike most currently used markers that also label cerebellar astrocytes, these four genes appear to be completely specific to Bergmann glia. Gdf10 is particularly noteworthy because its specific expression in the Purkinje cell layer had been reported before [38], but was thought, we believe in error, to be in Lugaro cells rather than in Bergmann glia.

Gpr126, an Adhesion GPCR Expressed Specifically in Developing Bergmann Glia

GPCRs were one of the gene families of particular interest to us in light of our recent finding that Gpr56, an adhesion GPCR, is essential for cortical and cerebellar development [39], [40]. Moreover, few GPCRs have been studied in the context of glial function. Among the many GPCRs we found expressed in Bergmann glia, we were especially intrigued by the very specific spatiotemporal pattern of expression of Gpr126, another orphan receptor that is a close relative of Gpr56. At P6, Gpr126 was expressed specifically in the Purkinje cell layer (Fig. 4, center panels). Since RT-PCR analysis of single-cell cDNAs from Purkinje cells showed that Gpr126 was absent in these neurons (data not shown), the pattern of GPR126 mRNA is consistent with expression by Bergmann glial cells. As predicted by the microarray data, in situ hybridization signal for Gpr126 was no longer detectable in the adult cerebellum (Fig. 4, right panels). At E15, Gpr126 was present in the cerebellar ventricular zone (arrowheads in Fig. 4, left panels), where precursors of cerebellar neurons and glia–including Bergmann glia–are located. In contrast, Gpr126 was absent in the forebrain ventricular zone at E15 (Fig. 4, arrow in left panel), indicating that it does not play a role in cortical radial glia at this age. Based on a recent study in zebrafish, regulation of cyclic AMP by Gpr126 signaling plays a critical role in the initiation of myelination by Schwann cells [41]. Whether Gpr126 in Bergmann glia also regulates second messenger pathways involved in cell differentiation, or instead regulates cell adhesion similar to other adhesion GPCRs such as Gpr56, Celsr2 and Celsr3 [39], [42], [43] remains to be examined.
Figure 4

Identification of a developmentally regulated GPCR that is Bergmann glia-specific in the cerebellum.

in situ hybridization with a 33P-labeled probe for Gpr126, a little known GPCR of the adhesion family, reveals signal specifically in the Purkinje cell layer at P7 (arrows, middle panels), consistent with expression in Bergmann glia. Gpr126 expression is developmentally regulated, and becomes undetectable in the adult (right panel). Unlike most classic Bergmann glial markers, which are also expressed by cortical radial glia, Gpr126 is specific to Bergmann glia and not detected in cortical radial glia at E15 (arrow in top left panel). Labeling is seen in the ventricular zone of the developing cerebellar anlage at E15 (arrowheads in left panels), suggesting that Gpr126 may be expressed in progenitors of Bergmann glia. All sections are oriented with rostral to the right. Scale bar, upper panels: left, 3 mm; center, 2 mm; right, 2.5 mm; lower panels: left, 100 µm; center, 1 mm; right, 1.4 mm.

Identification of a developmentally regulated GPCR that is Bergmann glia-specific in the cerebellum.

in situ hybridization with a 33P-labeled probe for Gpr126, a little known GPCR of the adhesion family, reveals signal specifically in the Purkinje cell layer at P7 (arrows, middle panels), consistent with expression in Bergmann glia. Gpr126 expression is developmentally regulated, and becomes undetectable in the adult (right panel). Unlike most classic Bergmann glial markers, which are also expressed by cortical radial glia, Gpr126 is specific to Bergmann glia and not detected in cortical radial glia at E15 (arrow in top left panel). Labeling is seen in the ventricular zone of the developing cerebellar anlage at E15 (arrowheads in left panels), suggesting that Gpr126 may be expressed in progenitors of Bergmann glia. All sections are oriented with rostral to the right. Scale bar, upper panels: left, 3 mm; center, 2 mm; right, 2.5 mm; lower panels: left, 100 µm; center, 1 mm; right, 1.4 mm.

Bergmann Glia Express Genes Typical of Neural Stem Cells

A striking finding of our microarray analysis is that Bergmann glia, even in the adult, express numerous genes thought to be expressed specifically by stem cells (Table 8), and show enrichment of the embryonic stem cell pluripotency pathway (Table 6). Of the 220 genes that [24] identified as a core set of “stemness” genes common to multiple types of stem cells but not found in differentiated cells, 26.8% (60/220) are expressed by Bergmann glia at P6 (Table 8). Remarkably, 18.3% (41/220) remain expressed at P30. In addition, 26.3% (647/2458) of neural stem cell genes identified in the same study are also present in Bergmann glia at one or both ages (data not shown). These include transcription factors such as Sox1, Sox2, Sox9, Hes1 and Hes5, which play important roles in cell proliferation and in maintaining neural stem cell identity. These findings support the intriguing hypothesis [44] that Bergmann glia may be a source of the newly described neural stem cells in the adult cerebellum [45], [46]. Our observation in Bergmann glia is also consistent with reports of progenitor cell-like gene expression in Muller Glia of the retina [44], [47].
Table 8

Stem cell-enriched genes expressed in Bergmann glia.

Gene SymbolDescriptionFunctional Classification
Pls3plastin 3 (T-isoform)actin binding
Aldh7a1aldehyde dehydrogenase family 7, member A1aldehyde metabolism
Pdcd2programmed cell death 2apoptosis
Cbr3carbonyl reductase 3Arachidonic acid metabolism
Rcn1reticulocalbin 1calcium ion binding
Tbrg1transforming growth factor beta regulated gene 1cell cycle regulation
Fhl1four and a half LIM domains 1cell growth and differentiation
Msh2mutS homolog 2DNA repair
Acadmacyl-Coenzyme A dehydrogenase, medium chainelectron transport
Trip6thyroid hormone receptor interactor 6electron transport
Txndc9thioredoxin domain containing 9electron transport
Txnl1thioredoxin-like 1electron transport
2410015N17RikRIKEN cDNA 2410015N17 genefunction unknown
2410022L05RikRIKEN cDNA 2410022L05 genefunction unknown
AW549877expressed sequence AW549877function unknown
Jagn1jagunal homolog 1function unknown
Sh3d19SH3 domain protein D19function unknown
Gsta4glutathione S-transferase, alpha 4Glutathione metabolism
Pigxphosphatidylinositol glycan anchor biosynthesis, class XGPI-anchor biosynthesis
Tbc1d15TBC1 domain family, member 15GTPase activator activity
Pla2g6phospholipase A2, group VIlipid catabolism
Sfrs3splicing factor, arginine/serine-rich 3 (SRp20)nuclear mRNA splicing
Sfrs6splicing factor, arginine/serine-rich 6nuclear mRNA splicing
Hrsp12heat-responsive protein 12nuclease activity
Zc3h14zinc finger CCCH type containing 14, variant 1, mRNA.nucleic acid binding
Ppa1pyrophosphatase (inorganic) 1phosphate metabolism
Nup35nucleoporin 35porin activity
Psmd12proteasome 26S subunit, non-ATPase, 12proteasome pathway
Tjp1tight junction protein 1protein binding
Mrpl17mitochondrial ribosomal protein L17protein biosynthesis
Eif2b4eukaryotic translation initiation factor 2B, subunit 4 deltaprotein biosynthesis
Eif3s1eukaryotic translation initiation factor 3, subunit 1 alphaprotein biosynthesis
Eprsglutamyl-prolyl-tRNA synthetaseprotein biosynthesis
Iarsisoleucine-tRNA synthetaseprotein biosynthesis
Mrpl3mitochondrial ribosomal protein L3protein biosynthesis
Mrpl34mitochondrial ribosomal protein L34protein biosynthesis
Fkbp11FK506 binding protein 11protein folding
Fkbp9FK506 binding protein 9protein folding
Ppicpeptidylprolyl isomerase Cprotein folding
Mpdu1mannose-P-dolichol utilization defect 1protein metabolism
Esf1ESF1, nucleolar pre-rRNA processing protein, homologprotein processing
Ywhabtyrosine 3-monooxygenase activation protein, betaprotein targeting
Laptm4alysosomal-associated protein transmembrane 4Aprotein transport
Pkd2polycystic kidney disease 2protein transport
Xpotexportin, tRNA (nuclear export receptor for tRNAs)protein transport
Zmat3zinc finger matrin type 3regulation of cell growth
Smarcad1SWI/SNF-related, matrix-associated chromatin regulator 1aregulation of DNA recombination
Epl2elongation protein 2 homologregulation of JAK-STAT cascade
Cops4constitutive photomorphogenic homolog, subunit 4regulation of signaling
Rnf4ring finger protein 4regulation of transcription
Tead2TEA domain family member 2regulation of transcription
Zfxzinc finger protein X-linkedregulation of transcription
Gnl2guanine nucleotide binding protein-like 2 (nucleolar)ribosome biogenesis
Nol5anucleolar protein 5Aribosome biogenesis
Mphosph10M-phase phosphoprotein 10rRNA processing
Gnb1guanine nucleotide binding protein, beta 1signal transduction
Crtapcartilage associated proteinsugar transport
3732413I11RikRIKEN cDNA 3732413I11 geneubiquitin cycle
Fbxo38F-box protein 38ubiquitin cycle
Wbp5WW domain binding protein 5WW domain binding

Discussion

Despite growing evidence of the indispensable roles of glial cells in many aspects of nervous system development and function, much remains unknown about the molecules that mediate these roles, particularly in vivo. There is also a lack of specific markers for various subtypes of glial cells, and of tools to manipulate gene expression only in specific subtypes. This has hindered our understanding of the diverse roles of glial cells. Our results from single cell transcriptome analysis of cerebellar Bergmann glia identify numerous novel genes whose role in Bergmann glia, or glia in general, can now be tested in functional contexts. We also identify several genes that appear to be entirely Bergmann glia-specific in the cerebellum. Not only does this confirm that the GFP+ cells we harvested for this study were indeed Bergmann glia and did not inadvertently include astrocytes, but also offers new tools for understanding these important glial cells. In this study we focused mainly on genes not previously characterized in Bergmann glia or glial cells in general. For analysis of all genes that we found expressed in Bergmann glia, our complete data set can be viewed in Table S5, and the original Affymetrix. CEL files can be accessed at the Gene Expression Omnibus (GEO) repository (accession number GSE18617). Genes identified here as being expressed in Bergmann glia fall into many classes, highlighting the diverse roles of this cell type throughout life. Some of the most salient with respect to cerebellar structure and function include retinoic acid signaling components–e.g. Cyp26b1, a regulator of retinoic acid activity - which may play a role in cerebellar patterning [48]; chemoattractive and chemorepulsive molecules (notably semaphorin 4B), which may regulate neuronal migration as well as dendritic outgrowth and synapse development [49], [50], [51]; growth factors and growth factor-like molecules such as Gdf10 [38], [52] and meteorin [53], [54]; molecules for cell-cell communication, particularly gap junction proteins, which have been shown to play critical roles in radial glial proliferation [55] and neuronal migration along radial glial fibers in the cerebral cortex [56]; synapse-associated adhesion molecules such as neurexins, which are important for synapse formation and maintenance [57]; components of the D-serine pathway involved in modulation of NMDA receptor function [58], [59]; and molecules that mediate synaptic function and plasticity, such as glutamate receptors, transporters, and transmembrane AMPAR regulatory proteins (TARPs) [60]. The expression of the enzymes glutamine synthetase and pyruvate carboxylase along with glial glutamate transporters Slc1a3 (GLAST) and Slc1a2 (GLT-1) provide further evidence for the involvement of Bergmann glia in the glutamate-glutamine cycle that supports synaptic activity [19], [61]. Similarly, the expression of the lactate synthetic enzymes lactate dehydrogenase A and B (Ldha and Ldhb), and monocarboxylate transporter 1 (Mct1), the main lactate transporter responsible for rapid release of glial lactate, is consistent with the hypothesized glia-neuron lactate shuttle [62]. Our finding that neurexin III is expressed in Bergmann glia is particularly interesting in light of the proposed role of neurexins in the development and maintenance of functional synapses. Neurexins present on the presynaptic membrane are thought to bind neuroligins on the postsynaptic membrane, thereby forming a trans-synaptic link that helps maintain the close apposition of pre- and post-synaptic elements [63]. Originally thought to be presynaptic [64], immuno-electron microscopy has now shown that neurexins are also present postsynaptically [65]. What has been missing in this analysis is the consideration of glial processes, which are also integral components of most CNS synapses and maintained in close proximity to pre-and post-synaptic elements [9], [66]. The expression of neurexin III in Bergmann glia raises the question of whether this molecule plays a role in anchoring glial processes to pre- and post-synaptic elements. Cell type-specific deletion of this gene in astroglial cells can be performed to address this hypothesis. The role of glia in synaptic function has been reinforced by the finding that astrocytes in cell culture or brain slices can release glutamate [67], [68], which in turn can modulate synaptic transmission and plasticity [69], [70], [71]. However, the actual mechanism of glial glutamate release has remained controversial [72]. There is evidence that astrocytes in vitro express components of regulated vesicle exocytosis previously thought to be found only in neurons, including v-glut1/2, SNAP23, Munc18a, and synaptotagmin IV [73], suggesting that astrocytes release glutamate by vesicle exocytosis similar to neurons. However, a recent study [23] reported that acutely isolated mouse astrocytes do not express v-glut1/2, synaptotagmins or synapsin I, and therefore are unlikely to exhibit regulated vesicular glutamate release in vivo. Our finding that acutely isolated adult Bergmann glia do express some known or potential components of regulated vesicular exocytosis, including synapsin I, synaptotagmins XI and XVI, syntaxins, snapin [74], rim2 [75], and Lgi3 [76] (a recently identified syntaxin interactor and potential regulator of exocytosis) suggests that, unlike cortical astrocytes, Bergmann glia in vivo may possess the machinery for regulated release of glutamate and/or possibly other neurotransmitters. While much of the recent focus on glia has been on their novel roles, it is worth noting that our knowledge of the molecular mechanisms remains incomplete even for the oldest and most commonly-associated role of glia: serving as “nerve glue,” a term coined by Rudolf Virchow in 1859. In this context, it is interesting that one of the largest set of genes we found expressed at high levels in Bergmann glia consists of cell adhesion molecules and receptors known or hypothesized to mediate cell-cell or cell-ECM binding. These include well-established adhesion molecules and receptors such as brevican, tenascin C, integrin αv, and dystroglycan-1, some of which are critical for structural integrity of the glial scaffold [77]. A less studied adhesion molecule that we find in Bergmann glia, Chl1, was also shown recently to be important for the guidance and stabilization of stellate cell arbors projecting onto Purkinje cell dendrites [78], highlighting the important role of glial cell adhesion molecules in the development and maintenance of neuronal connections. In light of these findings, we believe that the putative glial adhesion molecules we identify, including cadherin 22, CD164 and junction adhesion molecule 2 (Jam2), merit further investigation. In addition to identifying possible molecular players in known functions of Bergmann glia, the genes emerging from our study also strengthen the possibility of novel roles of these cells. Recently, two studies identified putative neural stem cells in the postnatal cerebellum [45], [46]. While the identities of these cells remain unknown, a hypothesis has emerged that perhaps Bergmann glia could be these stem cells [44]. A study from the same lab found that two transcription factors that regulate neural stem cell identity, Sox1 and Sox2, are found in postnatal Bergmann glia [79]. We now significantly expand this line of inquiry by examining the full expression profiles of Bergmann glia and identifying additional genes that have previously been implicated in “stem-ness” of neural stem cells [24]. The molecular and morphological changes that Bergmann glia undergo in response to injury, granule cell death, or implantation of embryonic granule cell precursors indicate that they remain highly plastic [80]. Whether they possess the latent genetic potential to serve as neural precursors and could do so in response to an appropriate stimulus remains a tantalizing possibility. Furthermore, the mechanisms that may normally repress this potential in the adult cerebellum merit further investigation. In this regard, our observation that the Bone Morphogenic Protein antagonist, Nbl1 (neuroblastoma, suppression of tumorigenicity 1) shows highly elevated expression in adult Bergmann glia compared to P6 is interesting, since this gene has been shown previously to repress maintenance of the precursor state and promote neuronal differentiation through its action on BMP7 [81].

Materials and Methods

Ethics Statement

Experiments were performed in accordance with National Institutes of Health guidelines for the care and use of laboratory animals, and with approval of the Animal Care and Use Committee of Children's Hospital Boston.

Isolation of Single Bergmann Glial Cells

Mice of ages P6 and P30 expressing GFP under the control of the GFAP promoter (GFAP-GFP mice) were used. From GFAP-GFP mouse brains, slices of the mid-sagittal third of the cerebellum were cut in cold Hank's Balanced Salt Solution (HBSS). By cutting only from the mid-sagittal region, where Bergmann glial processes run mostly parallel to the sagittal plane, damage to glial processes was minimized. Furthermore, isolation of Bergmann glia from a restricted region of the cerebellum should minimize developmental heterogeneity between individual cells. Slices were cut into smaller pieces in cold Ca++- and Mg++-free HBSS containing 10 mM HEPES; The tissues were incubated in papain (20 U/ml), and DNase I (20 U/ml) in Ca++- and Mg++-free HBSS on a shaker for ∼30 min at 37°C. The protease solution was then replaced with Hanks Balanced Salt Solution (HBSS) containing 1 mg/ml albumin ovomucoid protease inhibitor, and the tissue was gently triturated using fire-polished glass pipettes of decreasing bore diameter. Cells were pelleted by centrifugation and resuspended in cold HBSS. A small aliquot of the cell suspension was added to a Petri dish with cold Ca++- and Mg++-free HBSS and individual cells were harvested by mouth pipetting into pulled glass microcapillaries attached to a micromanipulator. Bergmann glia were recognized by their GFP fluorescence and morphology. Each picked cell was rinsed in a fresh dish with HBSS and re-picked with a new microcapillary. Harvested cells were immediately seeded into PCR tubes containing reverse transcription buffer, and placed on ice. In control experiments, single GFP-negative cells and putative astrocytes were also picked. Astrocytes from cerebella of GFAP-GFP mice showed weaker GFP staining compared to Bergmann glia and lacked the characteristic unipolar processes of the latter. The identity of the different cerebellar cells was always verified subsequently by PCR and Southern blot.

Single-Cell RT-PCR and Microarray Hybridization

Single-cell RT-PCR was performed as described previously [25], [27], [82]. Briefly, amplified cDNA was synthesized by lysing the cell, reverse transcribing the cell RNA after oligo-dT priming, poly-A tailing the 5′end of the cDNA, and finally amplifying the cell cDNA with a unique poly-T primer (AL1: ATTGGATCCAGGCCGCTCTGGACAAAATATGAATTC(T)24). The reverse transcription was performed in limiting conditions of nucleotides and time in order to generate cDNAs of uniform size (∼0.5 to 1 kb), which are more likely to be uniformly amplified and to accurately reflect the relative abundances of various mRNAs in the cell. After 50 cycles of PCR, several micrograms of cDNA were generated from each cell. Five µl of the cDNA was run on a 1.5% agarose gel to verify the presence of a smear from ∼0.5 to 1 kb. Using this original cDNA as template, additional cDNA could be faithfully reamplified as necessary by PCR using the AL1 primer, as described previously [82]. Southern blots for several ubiquitous and cell-specific marker genes were then performed as described [82], [83] to assess the quality and representation of the single cell cDNA, and to verify cell identity. Actb and Actg were used as high and medium abundance markers, respectively; and Odc and Ppp1ca as low abundance markers [84]. Gfap, Fabp7, Sept4 and Slc1a3 were used as glial markers. Finally, the presence of Nefl, Mtap2, and in some cases also tubulin β-III was checked to detect any contaminating neurons. Only the best single cell cDNAs (10 µg of each), as determined by RT-PCR and Southern blot, were selected for labeling and microarray hybridization. In total, over 150 putative Bergmann glia were harvested, of which ∼90 yielded good cDNA smears after RT-PCR. The activity of the reverse transcriptases appeared to be the most variable factor, with noticeable lot-to-lot differences. Seventy-four of the single cell cDNAs showed robust expression of Actb, and of these, 31 were positive for Actg, Odc and Ppp1ca as well. Sixteen cDNA samples passed all quality control criteria, including presence of all tested astroglial markers and absence of all tested neuronal markers. Of these, five P6 and five P30 samples that exhibited the best quality control parameters on Affymetrix Test3 arrays were then hybridized to Affymetrix GeneChip Mouse Genome 430 2.0 microarrays at the Harvard Biopolymers Facility using standard Affymetrix protocols.

Data Analysis of Affymetrix Gene Chips

Analyses of individual microarrays and comparisons between P6 and adult were performed using GeneSpring GX 7.3 (Agilent). Raw CEL files were processed using the RMA (Robust Multichip Average) normalization algorithm as implemented in GeneSpring GX 7.3. Normalization was performed using default settings, which included data transformation (RAW values of less than 0.01 were set to 0.01), per chip normalization to the median (each measurement was divided by the 50th percentile of all measurements in that sample), and per gene normalization (the raw expression level of each gene was divided by the median of its measurements in all samples). For statistical analysis, one-way ANOVA was performed with multiple testing correction using Benjamini and Hochberg false discovery rate (FDR) set at 0.05. To identify genes expressed at higher levels at P6 compared to P30, two separate analyses were performed. First, we selected for genes that showed over three-fold higher normalized expression at P6 compared to P30 (and additionally, met statistical criteria mentioned above and were present at RAW levels of >100 in at least four out of five P6 samples). Second, we selected for genes that were flagged “present” in P6 samples (at least four out of five) and “absent” in P30 samples (at least four out of five) (and, like above, were statistically significant and present at raw signal values >100 in P6 samples). Similar analyses were performed to identify genes that were expressed at higher levels at P30 than at P6. Finally, by using an expression level filter, highly expressed genes showing raw signal values of over 2000 in at least 4 out of 5 samples of each age (total 8 of 10) were also identified. Data for annotation and functional classification of genes was obtained through Genespring (Agilent), the Gene Ontology Consortium [85], Aceview (www.aceview.org) [86], and previous studies. Our microarray data is MIAME compliant and all raw data files have been deposited in the Gene Expression Omnibus (GEO) repository, a MIAME compliant database.

In Situ Hybridization

In situ hybridization was performed essentially as described previously [87]. Briefly, DNA templates for transcribing cRNA probes were generated by PCR. The primers contained SP6 (in forward primers) and T7 (in reverse primers) RNA polymerase binding sequences. For Gpr126, the following two primer pairs were used, both of which yielded similar results: 1. Forward, 5′-; reverse, 5′- . 2. Forward, 5′- ; reverse, 5′- . Underlined regions correspond to the SP6 (in forward primers) and T7 (in reverse primers) RNA polymerase binding sequences. 33P-labeled sense and antisense riboprobes were generated using SP6 and T7 polymerases respectively (Promega) and a reaction mix containing 33P-UTP (Perkin Elmer). Radioactive in situ hybridization was performed on 16 µm brain cryosections as described previously [88], [89].

Gene Expression Atlases

Several online reference atlases of mRNA expression were used to corroborate the expression of genes identified in the microarrays. These included the Allen Brain Atlas (ABA) (http://www.brain-map.org/) [90], the Brain Gene Expression Map (http://www.stjudebgem.org) [91], and GenePaint (http://www.genepaint.org) [92]. Developmentally-regulated Bergmann glia genes (P6>P30 by >3-fold, or present at P6 and absent at P30) (0.11 MB XLS) Click here for additional data file. Developmentally-regulated Bergmann glia genes (P30>P6 by >3-fold, or present at P30 and absent at P6) (0.04 MB XLS) Click here for additional data file. Presumptive neuron-specific genes seen in Bergmann glial cDNA samples (0.02 MB XLS) Click here for additional data file. Genes expressed at moderate to high levels in Bergmann glia (P6 and P30) (mean raw signal values >2000) (1.24 MB XLS) Click here for additional data file. Complete data set of 45,101 probe sets for all Gene Chips used in our single cell gene expression analysis (9.52 MB ZIP) Click here for additional data file. Myelin-related genes are expressed in adult Bergmann glia. Mid-sagittal views of adult mouse cerebella with in situ hybridization images (left panels) and expression level analysis (right panels), as obtained from the Allen Brain Atlas. Insets in all images are from the dorso-rostral region of lobule V (asterisk in top panels). Top row, mRNA for Pmp22, a constituent of myelin, is expressed most strongly in putative oligodendrocytes in the white matter (arrows). Surprisingly, however, there is also signal in the Purkinje cell layer (PCL), in a pattern consistent with expression in Bergmann glia (arrowheads). Second row, Plp1, the major constituent of CNS myelin, exhibits a similar expression pattern. Although the strongest staining is in putative oligodendrocytes (arrows), there is also distinct signal in Bergmann glia (arrowheads). Third row, Lgi4, which has been shown to be important for myelination in the PNS, shows robust and Bergmann glia-specific expression in the cerebellum. Fourth row, Mpzl1, another gene thought to be involved in myelination, is expressed in at least a subset of Bergmann glia (arrowheads). Scale bar, 500 µm in all panels, 140 µm in insets. (4.55 MB TIF) Click here for additional data file. Bergmann glia-specific gene expression in the adult cerebellum. Mid-sagittal views of adult mouse cerebella with in situ hybridization images (left panels) and expression level analysis (right panels), as obtained from the Allen Brain Atlas. Insets in all images are from the dorso-rostral region of lobule V as in Fig. S1. Luzp2, Gpr89, Lgi4 and Gdf10 all appear to be expressed very specifically in the Purkinje cell layer in the adult cerebellum. This restricted localization, along with a cellular expression pattern in the PCL that matches those of well established astroglial markers (Fig. S3), suggests that these genes are Bergmann-glia specific in the adult cerebellum and may serve as novel markers for these cells. Scale bar, 500 µm in all panels, 140 µm in insets. (4.22 MB TIF) Click here for additional data file. Expression patterns of well established astroglial markers in the adult cerebellum. Mid-sagittal views of adult mouse cerebella with in situ hybridization images (left panels) and expression level analysis (right panels), as obtained from the Allen Brain Atlas. Insets in all images are from the dorso-rostral region of lobule V as in Fig. S1. The glial genes, Slc1a3, Fabp7, S100β and Sept4 are four widely used astroglial markers, and their expression in Bergmann glia (but not Purkinje cells or other cerebellar neurons) has been confirmed by previous studies. The cellular expression patterns of these genes are presented here to serve as controls against which the Bergmann glial expression of new genes (for example, as in Fig. S2) can be compared. Scale bar, 500 µm in all panels, 140 µm in insets. (4.27 MB TIF) Click here for additional data file.
  91 in total

1.  Small-sample total RNA purification: laser capture microdissection and cultured cell applications.

Authors:  K E Dolter; J C Braman
Journal:  Biotechniques       Date:  2001-06       Impact factor: 1.993

2.  Meteorin: a secreted protein that regulates glial cell differentiation and promotes axonal extension.

Authors:  Jinsuke Nishino; Kimiyo Yamashita; Hiromi Hashiguchi; Hideta Fujii; Takuya Shimazaki; Hiroshi Hamada
Journal:  EMBO J       Date:  2004-04-15       Impact factor: 11.598

3.  Dynamic transformation of Bergmann glial fibers proceeds in correlation with dendritic outgrowth and synapse formation of cerebellar Purkinje cells.

Authors:  K Yamada; M Fukaya; T Shibata; H Kurihara; K Tanaka; Y Inoue; M Watanabe
Journal:  J Comp Neurol       Date:  2000-02-28       Impact factor: 3.215

4.  Genome-wide atlas of gene expression in the adult mouse brain.

Authors:  Ed S Lein; Michael J Hawrylycz; Nancy Ao; Mikael Ayres; Amy Bensinger; Amy Bernard; Andrew F Boe; Mark S Boguski; Kevin S Brockway; Emi J Byrnes; Lin Chen; Li Chen; Tsuey-Ming Chen; Mei Chi Chin; Jimmy Chong; Brian E Crook; Aneta Czaplinska; Chinh N Dang; Suvro Datta; Nick R Dee; Aimee L Desaki; Tsega Desta; Ellen Diep; Tim A Dolbeare; Matthew J Donelan; Hong-Wei Dong; Jennifer G Dougherty; Ben J Duncan; Amanda J Ebbert; Gregor Eichele; Lili K Estin; Casey Faber; Benjamin A Facer; Rick Fields; Shanna R Fischer; Tim P Fliss; Cliff Frensley; Sabrina N Gates; Katie J Glattfelder; Kevin R Halverson; Matthew R Hart; John G Hohmann; Maureen P Howell; Darren P Jeung; Rebecca A Johnson; Patrick T Karr; Reena Kawal; Jolene M Kidney; Rachel H Knapik; Chihchau L Kuan; James H Lake; Annabel R Laramee; Kirk D Larsen; Christopher Lau; Tracy A Lemon; Agnes J Liang; Ying Liu; Lon T Luong; Jesse Michaels; Judith J Morgan; Rebecca J Morgan; Marty T Mortrud; Nerick F Mosqueda; Lydia L Ng; Randy Ng; Geralyn J Orta; Caroline C Overly; Tu H Pak; Sheana E Parry; Sayan D Pathak; Owen C Pearson; Ralph B Puchalski; Zackery L Riley; Hannah R Rockett; Stephen A Rowland; Joshua J Royall; Marcos J Ruiz; Nadia R Sarno; Katherine Schaffnit; Nadiya V Shapovalova; Taz Sivisay; Clifford R Slaughterbeck; Simon C Smith; Kimberly A Smith; Bryan I Smith; Andy J Sodt; Nick N Stewart; Kenda-Ruth Stumpf; Susan M Sunkin; Madhavi Sutram; Angelene Tam; Carey D Teemer; Christina Thaller; Carol L Thompson; Lee R Varnam; Axel Visel; Ray M Whitlock; Paul E Wohnoutka; Crissa K Wolkey; Victoria Y Wong; Matthew Wood; Murat B Yaylaoglu; Rob C Young; Brian L Youngstrom; Xu Feng Yuan; Bin Zhang; Theresa A Zwingman; Allan R Jones
Journal:  Nature       Date:  2006-12-06       Impact factor: 49.962

5.  Glia-derived D-serine controls NMDA receptor activity and synaptic memory.

Authors:  Aude Panatier; Dionysia T Theodosis; Jean-Pierre Mothet; Bastien Touquet; Loredano Pollegioni; Dominique A Poulain; Stéphane H R Oliet
Journal:  Cell       Date:  2006-05-19       Impact factor: 41.582

6.  DNER acts as a neuron-specific Notch ligand during Bergmann glial development.

Authors:  Mototsugu Eiraku; Akira Tohgo; Katsuhiko Ono; Megumi Kaneko; Kazuto Fujishima; Tomoo Hirano; Mineko Kengaku
Journal:  Nat Neurosci       Date:  2005-07       Impact factor: 24.884

7.  Calcium waves propagate through radial glial cells and modulate proliferation in the developing neocortex.

Authors:  Tamily A Weissman; Patricio A Riquelme; Lidija Ivic; Alexander C Flint; Arnold R Kriegstein
Journal:  Neuron       Date:  2004-09-02       Impact factor: 17.173

8.  D-Serine as a putative glial neurotransmitter.

Authors:  Asif K Mustafa; Paul M Kim; Solomon H Snyder
Journal:  Neuron Glia Biol       Date:  2004-08

9.  Morphogenesis and regulation of Bergmann glial processes during Purkinje cell dendritic spine ensheathment and synaptogenesis.

Authors:  Jocelyn J Lippman; Tamar Lordkipanidze; Margaret E Buell; Sung Ok Yoon; Anna Dunaevsky
Journal:  Glia       Date:  2008-10       Impact factor: 7.452

Review 10.  Interactions between Purkinje neurones and Bergmann glia.

Authors:  Tomas C Bellamy
Journal:  Cerebellum       Date:  2006       Impact factor: 3.847

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  45 in total

1.  Deletion of astroglial Dicer causes non-cell-autonomous neuronal dysfunction and degeneration.

Authors:  Jifang Tao; Hao Wu; Quan Lin; Weizheng Wei; Xiao-Hong Lu; Jeffrey P Cantle; Yan Ao; Richard W Olsen; X William Yang; Istvan Mody; Michael V Sofroniew; Yi E Sun
Journal:  J Neurosci       Date:  2011-06-01       Impact factor: 6.167

2.  Bergmann glial Sonic hedgehog signaling activity is required for proper cerebellar cortical expansion and architecture.

Authors:  Frances Y Cheng; Jonathan T Fleming; Chin Chiang
Journal:  Dev Biol       Date:  2018-05-21       Impact factor: 3.582

3.  Gpr126 is essential for peripheral nerve development and myelination in mammals.

Authors:  Kelly R Monk; Kazuo Oshima; Simone Jörs; Stefan Heller; William S Talbot
Journal:  Development       Date:  2011-05-25       Impact factor: 6.868

4.  The multiple signaling modalities of adhesion G protein-coupled receptor GPR126 in development.

Authors:  Chinmoy Patra; Kelly R Monk; Felix B Engel
Journal:  Receptors Clin Investig       Date:  2014-07-01

5.  Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells.

Authors:  Ishaan Gupta; Paul G Collier; Bettina Haase; Ahmed Mahfouz; Anoushka Joglekar; Taylor Floyd; Frank Koopmans; Ben Barres; August B Smit; Steven A Sloan; Wenjie Luo; Olivier Fedrigo; M Elizabeth Ross; Hagen U Tilgner
Journal:  Nat Biotechnol       Date:  2018-10-15       Impact factor: 54.908

Review 6.  Bergmann glia function in granule cell migration during cerebellum development.

Authors:  Haiwei Xu; Yang Yang; Xiaotong Tang; Meina Zhao; Fucheng Liang; Pei Xu; Baoke Hou; Yan Xing; Xiaohang Bao; Xiaotang Fan
Journal:  Mol Neurobiol       Date:  2013-01-19       Impact factor: 5.590

7.  Phases of intermediate filament composition in Bergmann glia following cerebellar injury in adult rat.

Authors:  Istvan Adorjan; Kinga Bindics; Peter Galgoczy; Mihaly Kalman
Journal:  Exp Brain Res       Date:  2014-03-26       Impact factor: 1.972

Review 8.  The Molecular Pathway Regulating Bergmann Glia and Folia Generation in the Cerebellum.

Authors:  Alan W Leung; James Y H Li
Journal:  Cerebellum       Date:  2018-02       Impact factor: 3.847

9.  Mutation of a NCKX eliminates glial microdomain calcium oscillations and enhances seizure susceptibility.

Authors:  Jan E Melom; J Troy Littleton
Journal:  J Neurosci       Date:  2013-01-16       Impact factor: 6.167

10.  Shp2-dependent ERK signaling is essential for induction of Bergmann glia and foliation of the cerebellum.

Authors:  Kairong Li; Alan W Leung; Qiuxia Guo; Wentian Yang; James Y H Li
Journal:  J Neurosci       Date:  2014-01-15       Impact factor: 6.167

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