Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2023 Mar 30;220(6):e20221472. doi: 10.1084/jem.20221472

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© 2023 Gonzalez et al.

This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).

PMC Copyright notice

Figure 7. — Tumor-associated tdTom^pos dendritic cells acquire an mregDC phenotype. (A) Cell frequency plots for each cDC cell state, delineated by tissue and phagocytic status. (B) Violin plot showing PHAT signature scores for cDC grouped by tissue and phagocytic status. (C) Volcano plot of differentially expressed genes between tdTom^pos and tdTom^neg DC1s (cDC.Xcr1). PHAT-Macrophage signature genes are highlighted in red. Statistical significance was determined using MAST. (D) Venn diagram showing overlapping genes between PHAT-cDC signature and PHAT-Macrophage signature. (E–G) UMAP projections of cDCs, highlighting cDC subsets (E, left), tissue/phagocytic status (E, right), pseudotime-based trajectory inference using Slingshot (F), and dynamic RNA velocity trajectory inference (G). (H) Heatmap of genes that are differentially expressed along cDC trajectory. Gene groupings were determined by hierarchical clustering of genes by expression pattern. Genes highlighted in red depict mreg-DC marker genes reported by Maier et al., (2020). Statistical significance of genes across the single cDC trajectory was determined by Wald test after fitting the data using a generalized additive model.