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. 2022 Mar 21;15(4):730–744. doi: 10.1038/s41385-022-00495-x

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/..

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Fig. 2 — a UMAPs of fetal lung myeloid cell populations in control (left) and IA LPS (right) fetuses. Functional enrichment analysis of upregulated biological processes based on differentially expressed genes (b: alveolar, c: interstitial macrophages) using ToppFun. d ssGSEA analysis of enriched gene ontology (GO) terms in inflammatory monocytes. Numbers in parentheses represent the total number of genes for each process. e Absolute number of macrophages in control and IA LPS was calculated based on flow cytometric analyses of fetal lungs (n = 4/group). Mean (SEM) cells/g tissue are shown; Student’s unpaired t test, *p < 0.05. f Activation markers expression by lung monocyte/macrophage subpopulations was analyzed by flow cytometry (see Supplementary Fig. S5B for representative flow plots). Data are represented as heatmap, the scale representing the range of geometric mean fluorescence.