Fig. 3

Cell type-specific gene ontologies recapitulate global translation efficiency trends. We used GSEA to identify gene ontologies enriched in cell type-specific genes. An enrichment score was calculated for all genes in each cell type based on RNA-Seq data from sorted neural cell types. This information was placed into six different rank lists, one for each cell type. A gene ontology was defined as being cell type-specific if it had a NES score for a cell type that was at least three units greater than the next highest NES score. Ligation-free ribosome profiling datasets from two mouse brains were averaged and used to calculate the median translation efficiency for each ontology. Highly enriched ontologies and their median translation efficiencies in descending order are displayed in the heatmaps