Fig. 5: Tangram mapping of multi-omic SHARE-seq profiles yields spatial patterns of chromatin accessibility and transcription factor activity.
From: Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram
a, Probabilistic mapping of SHARE-seq profiles on MERFISH data. Probability of mapping (color bar) of each cell subset (gray labels) in each of three major categories based on the RNA component of SHARE-seq profiles. b, Deterministic mapping. MERFISH slide with segmented cells (dot) colored by the cell-type annotation of the most likely SHARE-seq (RNA) profile mapped on that position by Tangram (legend). c, Predicted chromatin-accessibility patterns. MERFISH-measured expression (top; color bar, normalized fluorescence, see Methods) and Tangram-predicted chromatin accessibility (bottom; color bar, normalized reads-in-peak count, see Methods) of select genes (gray labels). d, Predicted transcription factor activity patterns. Tangram-predicted expression (top; color bar, mRNA counts) and activity-normalized z-score patterns (as inferred from snATAC-Seq, see Methods) (bottom; color bar, dimensionless) of select genes (gray labels) measured only by SHARE-seq.
