Extended Data Fig. 1: Isolation and bioinformatical filtering of ECs. | Nature Metabolism

Extended Data Fig. 1: Isolation and bioinformatical filtering of ECs.

From: Single-cell profiling of vascular endothelial cells reveals progressive organ-specific vulnerabilities during obesity

Extended Data Fig. 1

(a) Mouse body weight over 3 months of WD. N = 9 animals per group. (b) Percentage of lean versus fat mass in animals maintained on WD and chow diets for 3 months. N = 9 animals per group. (c) Metabolomics (GC-MS) data showing serum cholesterol, palmitate and stearic acid levels in obese versus control animals. N = 3 animals on chow diet, 4 on WD. (d) Correlation matrix comparing the overall EC transcriptome from the 7 indicated organs, with WD and chow groups combined. Pearson’s r-value for each comparison is provided. (e) Representative FACS plots showing sorting strategy for ECs at the 3-month timepoint. Single cells were selected based on forward and side scatter, dead cells removed based on propidium iodide staining, and enriched populations of ECs isolated based on high CD31 (PECAM1) and low CD45 levels. (f) UMAPs showing the presence of vascular EC, mural, fibroblast (FB), hematopoietic and lymphatic EC (LEC) markers across all CD31+ CD45low cell analyzed by scRNA-seq. The arrows indicate the positive population in each category. Data are presented as mean ± SEM and were analyzed using a two-sided Student’s t-test (a-c).

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