Extended Data Fig. 4: Comparison of cell-type transcriptomes determined by scRNAseq to data from bulk populations described in literature. | Nature Cell Biology

Extended Data Fig. 4: Comparison of cell-type transcriptomes determined by scRNAseq to data from bulk populations described in literature.

From: Combined single-cell and spatial transcriptomics reveal the molecular, cellular and spatial bone marrow niche organization

Extended Data Fig. 4

a, Enrichment of gene expression signatures of haematopoietic populations in immune cell transcriptomes published by the ImmGen consortium (data source: GEO GSE109125)58. Data points in the same row correspond to experimental replicates. b, Enrichment of gene expression signatures of non-haematopoietic populations in published transcriptomes of populations defined by genetic markers5,7,8,9,59; see methods for specification of data sources, and see the Supplementary Note 1 for a detailed evaluation of the algorithm used. c, The optimal number of mesenchymal cell clusters was determined using the SOUP method15, a semi-soft clustering algorithm designed to distinguish between distinct cell types and transition states between cell types. Error bars indicate 90% confidence intervals across 10 independent SOUP runs, central values correspond to medians. d, Main cluster identity from SOUP highlighted on the t-SNE from Fig. 1b (mesenchymal cell types only, n=2223 cells). e, Comparison of clusters identified by Seurat (Fig. 1b) to clusters identified by SOUP (panel d) demonstrates strong overlap between both methods.

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