Extended Data Fig. 5: Canonical correlation analysis based alignment of transcriptomic neuron types under different physiological conditions.

a, A diagram illustrating the misalignment of cell types under distinct physiological states with regular graph-based clustering analysis. b, The canonical correlation analysis (CCA) workflow for realigning cell types for joint analysis of transcriptomic data sets. c, UMAP embedded scRNA-seq data from SFO and OVLT neurons under distinct thirst states without alignment (left panel), with CCA alignment (middle panel) and cell-type identification on CCA aligned data (right panel). d, e, Violin plots of cell-type defining marker genes in CCA aligned stimulus-to-cell-type mapping data sets for SFO (e) and OVLT (d) respectively.