GSE127832
Gene expression atlas of a developing tissue by single cell expression correlation analysis
The Drosophila wing disc has been a fundamental model system for the discovery of key signaling pathways and for our understanding of developmental processes. However, a complete map of gene expression in this tissue is lacking. To obtain a complete gene expression atlas in the wing disc, we employed single-cell sequencing (scRNA-seq) and developed a new method for analyzing scRNA-seq data based on gene expression correlations rather than cell mappings. This enables us to discover 824 genes with spatially restricted expression patterns, and to compute expression maps for all genes in the wing disc. This approach identifies both known and new clusters of genes with similar expression patterns and functional relevance. As proof of concept, we characterize the previously unstudied gene CG5151 and show it regulates Wnt signaling. This novel method will enable the leveraging of scRNA-seq data for generating expression atlases of undifferentiated tissues during development. Overall design: Single cell transcriptome experiments from female wandering 3rd instar wing discs  were generated: two samples using Drop-seq and one sample using the 10x genomics platform. Bulk polyA-RNA-seq experiment from the same tissue was conducted for comparison.