Fig. 1: Generation of islet cell type-specific genesets by intersecting differentially expressed genes from independent single-cell transcriptomics datasets. | Nature Communications

Fig. 1: Generation of islet cell type-specific genesets by intersecting differentially expressed genes from independent single-cell transcriptomics datasets.

From: Generation of human islet cell type-specific identity genesets

Fig. 1

A Differential expression was calculated in seven independent datasets in a pair-wise manner between all cell types (α vs. β, α vs. γ, α vs. δ, β vs. γ, β vs. δ, γ vs. δ) using either the negbinom test on UMI based data (Baron, Muraro) or the MAST test. Then, data from all seven datasets were integrated for a direct comparison between cell types, and in a combined manner to elucidate general cell type-specific identity genes. B Top differentially expressed genes, top transcription factors and top genes that encode cell-surface proteins that characterize β-cells, in direct comparisons to α-, γ- and δ-cells (in red, magenta and blue, respectively), and in a combined manner to define general β-cell identity genes (in black). Genes were ordered first on the number of analyses in which they were found to be differentially expressed, then based on a rank score that comprised both the Bonferroni corrected p-value and the log fold-change. Darker colours indicate a higher number of analyses, a higher log fold-change or a more significant adjusted p-value. C An overview of the top 10 identity markers, top 10 transcription factors and top 10 cell surface encoding genes, per cell type. α-cell identity genes in red, β-cell identity genes in green, γ-cell identity genes in magenta and δ-cell identity genes in blue. Source data are provided in the supplemental tables and as a source data file.

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