Extended Data Fig. 3: Analysis of flow cytometry and single cell RNA sequencing of human adipose. | Nature Metabolism

Extended Data Fig. 3: Analysis of flow cytometry and single cell RNA sequencing of human adipose.

From: RIPK1 gene variants associate with obesity in humans and can be therapeutically silenced to reduce obesity in mice

Extended Data Fig. 3

a, Mean fluorescence intensity (MFI) of RIPK1 and E4BP4 in iNKT cells from human omental adipose tissue (left) and liver (right) from obese patients (n= 12 patients total). iNKT were identified as CD19-CD3+αGalCer-loaded CD1d-tetramer+ population and based on negative control (isotype IgG) staining. Outliers were removed according to ROUT method with a specified FDR of 1% (adipose, two E4BP4 samples; liver one E4BP4 and one RIPK1 sample). Data is mean ± SD, ***p≤0.001 by paired two-tailed Student’s t-test. b, UMAP embeddings of scRNA-seq data from human omentum samples. The colour maps represent the log2-based gene expression values of various T/NK cell markers (CD3D, XCL1, NKG7, CD8A) and myeloid markers (LYZ, CD14). The bottom panels show RIPK1 and NFIL3 expression across these populations. Data deposited in the GEO database (accession number GSE151889).

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