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Application of a translational profiling approach for the comparative analysis of CNS cell types - PubMed

  • ️Tue Jan 01 2008

Application of a translational profiling approach for the comparative analysis of CNS cell types

Joseph P Doyle et al. Cell. 2008.

Erratum in

  • Cell. 2009 Nov 25;139(5):1022

Abstract

Comparative analysis can provide important insights into complex biological systems. As demonstrated in the accompanying paper, translating ribosome affinity purification (TRAP) permits comprehensive studies of translated mRNAs in genetically defined cell populations after physiological perturbations. To establish the generality of this approach, we present translational profiles for 24 CNS cell populations and identify known cell-specific and enriched transcripts for each population. We report thousands of cell-specific mRNAs that were not detected in whole-tissue microarray studies and provide examples that demonstrate the benefits deriving from comparative analysis. To provide a foundation for further biological and in silico studies, we provide a resource of 16 transgenic mouse lines, their corresponding anatomic characterization, and translational profiles for cell types from a variety of central nervous system structures. This resource will enable a wide spectrum of molecular and mechanistic studies of both well-known and previously uncharacterized neural cell populations.

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Figures

Figure 1
Figure 1. BACarray lines express the EGFP-L10a transgene in specific CNS cell populations

DAB immunohistochemistry with anti-EGFP antibody on each mouse line reveals a unique and specific pattern of expression for the EGFP-L10a transgene. Panels (10x) show the morphology and localization of cell types expressing the transgene, while inset shows location of panel, for cerebellar (1–9), spinal cord (10), striatal/basal forebrain (11–14) brainstem (15), and cortical (16–25) cell types. A key for all cell types is in Figure 2A. Dashed lines (panels 16–25) indicate corpus callosum.

Figure 2
Figure 2. Summary of cell types studied and in-depth characterization of lines

A) All primary cell types expressing EGFP-L10a are listed, as well as the methods used to confirm correct expression. Minor cell types expressing relatively low levels of the EGFP-L10a transgene in the same structure are also listed. Panel # corresponds to Figure 1. B-G) IF on six mouse lines confirms transgene expression in distinct cell types in the cerebellum. First panels show IF for the EGFP-L10a fusion protein (green) in PCP2 (B), NeuroD1 (C), Lypd6 (D), Grm2 (E), Grp (F), and Sept4 (G) BACarray lines. Second panels (red) show co-staining with appropriate cell-type specific markers: Calbindin positive Purkinje cells (B), NeuN positive granule cells (C), Parvalbumin positive outer stellate and deep stellate (basket) neurons of the molecular layer (D), Grm2/3 positive interneurons (Golgi cells) (E), unipolar brush cells with Grm1 positive brush (arrow) (F), and S100 positive Bergman glia (G). The third panels show merged images combining EGFP-L10a and cell-type markers. Note that EGFP-L10a is not detected in the parvalbumin positive Purkinje cells of the Lypd6 line (D, arrow), nor in the glomeruli of the Grm2 line (E, arrow).

Figure 3
Figure 3. BACarray identifies both known and new markers

A) Known markers of spinal cord motor neurons (green dots) are highly enriched in the BACarray RNA (IP) (X-axis) while non-motor neuron genes (glial genes, red dots) are enriched in the whole tissue (UB) RNA. B) Averages of known cell-specific markers (green bars) are consistently enriched in the IP RNA, while negative controls (red bars) are not. Exceptions are the mature oligodendrocytes (Cmtm5) with low transgene expression, and granule cells (Neurod1) which contribute the majority of the cerebellar UB RNA thus precluding enrichment. C) ISH (red) and IF (green) images for genes predicted to be expressed in cerebellar Golgi cells show five of six genes with clear double labeling. D) qRT-PCR confirms that the sixth gene, Ceacam10, is expressed in the cerebellum and enriched in Golgi cells. qRT-PCR also confirms BACarray data for genes in Motor Neurons and Purkinje Cells. Slc18a3, Chat, Gfap, Pcp2, and Cnp are positive and negative controls for these populations. * Crygs and Tpm2 failed to amplify by RT-PCR for either IP (Tpm2) or UB (Crygs), and thus no ratio could be calculated. All plots Mean +/− SEM.

Figure 4
Figure 4. BACarray clusters cells by type, and provides greater sensitivity than whole tissue arrays

A) Hierarchical clustering on high coefficient of variation genes from all samples describes the relationships between cell types. B) Counting detectable (signal >50) probesets in cerebellar samples reveals that while fewer probesets will be detected in any given cell type than are detectable in whole tissue, across all cell types in total, more probesets have measurable signal. Data normalized to number of probesets in whole cerebellum. C) For four representative cell types, up to 42% of cell-specific or enriched probesets (IP/UB >2) are undetectable on whole tissue microarrays.

Figure 5
Figure 5. Cell type diversity is driven by cell surface proteins

A) Shannon entropy analysis reveals that BACarray samples have twice as much information as whole tissue (Mean +/− SEM). B) Binned expression of probesets for three genes with high Shannon entropy (average entropy 1.68) or low entropy (average entropy .31) shown for eight representative cell types. C) Gene Ontologies analysis identifies significantly over-represented (p<.001) gene classifications for the 10% of probesets with the highest (left panel) or the 10% with lowest (right panel), information content. Color bar: significance level for categories by Hypergeometic test with Benjamini Hochberg FDR correction.

Figure 6
Figure 6. Comparative BACarray analysis reveals cell type specific translational profiles

A) Heatmap showing the normalized expression of the 100 top ranked probesets from each sample, across all samples. Note blocks of genes detected as specific to each cell type (such as Pcp2). Related cell types are evidenced by co-expression of some of these genes (such as Bergman glia, and cerebellar astrocytes). B) Lists of the top 25 probesets of the 100 for each cell population from A include many known cell specific genes (for example Pcp2 and Calb1 in Purkinje cells), as well as a variety of novel genes and probesets (such as 2410124H12Rik). Columns are headed with the tissue source (Striatum: Str; Cerebellum: Cb; Cortex: Ctx; Spinal Cord: SC; Brain Stem: BrSt; Basal Forebrain: BF; and Corpus Striatum: CorpStr) as well as the appropriate BACarray driver. Column order corresponds to cell type order in A.

Figure 7
Figure 7. BACarray data recapitulates known Motor Neuron physiology

Data from MN BACarrays was directly compared to available data for classical neurotransmitters. To perform this analysis, BACarray results were color coded as ‘expressed,’ ‘enriched,’ or ‘not expressed’. This classification was then compared to results reported in the adult rodent literature, color coded simply as either ‘expressed’ or ‘not expressed’ or left uncolored in cases where there were no studies or conflicting data. IP/UB: Fold change versus whole spinal cord for expressed genes. RF: Expression data from published rodent literature. 1 (Rekling et al., 2000), 2 (Nishi et al., 2001), 3 (Berthele et al., 1999), 4 (Towers et al., 2000), 5 (Malosio et al., 1991), 6 (Kaelin-Lang et al., 1999).

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