Extended Data Fig. 7: Characteristics of SREBP2 (F167A) knock-in mice. | Nature Metabolism

Extended Data Fig. 7: Characteristics of SREBP2 (F167A) knock-in mice.

From: Nuclear SREBP2 condensates regulate the transcriptional activation of lipogenic genes and cholesterol homeostasis

Extended Data Fig. 7

a–c, Representative images of 8-week-old male WT and F167A mice (a), liver (b) and eWAT (c). d-f, Body weight (d) (n = 15 mice per group), Liver weight (e) (n = 5 mice per group), eWAT weight (f) (n = 5 mice per group) of WT and F167A mice. Data were shown as mean ± s.d. Statistical significance was calculated with unpaired two-tailed Student’s t-test. g, Liver H&E staining of WT and F167A mice within the groups of Non-Fast (NF), fasted for 12 hr (F) and refed for 12 h (R). Scale bar, 100 μm. h, eWAT H&E staining of WT and F167A mice within the groups of Non-Fast (NF), fasted for 12 hr (F) and refed for 12 h (R). Scale bar, 100 μm. i, Volcano plot of the RNA-seq data showing the differentially expressed genes (p < 0.05, Log2FC < -1 or > 1) by comparing the refeeding state with the fasting state from WT liver (left panel) and F167A liver (middle panel), or by comparing the F167A with WT liver under refeeding state (right panel). R package DESeq2 calculates two-sided p values by default using the Wald test and performs adjustments for multiple testing. j, ‘Steroid biosynthetic process’ ranked top in the gene set enrichment analysis (GSEA) analysis of the RNA-seq of F167A liver compared with that of WT liver under refeeding condition. k, The top enriched upregulated pathways in F167A liver compared with WT liver by GO analysis in (i). R package clusterProfiler calculates one-sided p values and performs adjustments for multiple testing.

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