Fig. 5: Application of multiomics soScope to a spatial protein + transcript dataset from a human skin tissue using spatial-CITE-seq. | Nature Communications

Fig. 5: Application of multiomics soScope to a spatial protein + transcript dataset from a human skin tissue using spatial-CITE-seq.

From: Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model

Fig. 5

a An overview of multiomics soScope framework for a simultaneous enhancement of spatial multiomics profiles. b Spatial visualization of tissue subpopulations identified from original (left) or enhanced (right) transcript profiles. Highlighted regions: i: dermis, ii: pilosebaceous region. Louvain algorithm is used to identify subpopulations as the original publication suggested15. c Spatial visualization of tissue subpopulations identified from original (left) or enhanced (middle, right) protein profiles. d, e Spatial visualization of top 1 differentially expressed genes (d) or proteins (e) from two pilosebaceous subregions and one dermis region before and after enhancement. The Pearson correlations are calculated between expressions from transcript and protein that are identified from the same regions. Source data are provided as a Source Data file.

Back to article page