Figure 5.
scRNA-seq identifies ECs and midzonal hepatocytes as the most responsive cell types to acute dietary iron loading or holo-Tf injection. (A) Schematic experimental outline of scRNA-seq experiment. All mice were 7- to 8-week-old male Tfrcfl/fl mice (n = 1 per group). (B) UMAP (uniform manifold approximation and projection) plot of the most common liver cell types. (C) Dot plot annotation based on differentially expressed genes and previously published cell type markers. (D) Relative proportion of each liver cell population obtained from the experimental settings. (E) Cell type prioritization (lollipop plot) based on Augur-calculated area under the curve (AUC) scores for each comparison (IDD vs IDD + holo-Tf, IDD vs IDD to HID, and IDD to HID vs IDD + holo-Tf). (F) Heat maps with log2 (FC) of gene set variation analysis score for iron-related biological pathways from the Molecular Signatures Database across cell types identified by scRNA-seq, highlighting the most responsive cell types to different iron manipulations. BCs, B cells; DCs, dendritic cells; DEGs, differentially expressed genes; ECs, endothelial cells; GO, gene ontology.

scRNA-seq identifies ECs and midzonal hepatocytes as the most responsive cell types to acute dietary iron loading or holo-Tf injection. (A) Schematic experimental outline of scRNA-seq experiment. All mice were 7- to 8-week-old male Tfrcfl/fl mice (n = 1 per group). (B) UMAP (uniform manifold approximation and projection) plot of the most common liver cell types. (C) Dot plot annotation based on differentially expressed genes and previously published cell type markers. (D) Relative proportion of each liver cell population obtained from the experimental settings. (E) Cell type prioritization (lollipop plot) based on Augur-calculated area under the curve (AUC) scores for each comparison (IDD vs IDD + holo-Tf, IDD vs IDD to HID, and IDD to HID vs IDD + holo-Tf). (F) Heat maps with log2 (FC) of gene set variation analysis score for iron-related biological pathways from the Molecular Signatures Database across cell types identified by scRNA-seq, highlighting the most responsive cell types to different iron manipulations. BCs, B cells; DCs, dendritic cells; DEGs, differentially expressed genes; ECs, endothelial cells; GO, gene ontology.

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