Extended Data Fig. 8: Immune cardiac populations.

a, Visualization of transcriptional signatures from published studies. The score values represent the likelihood of the external transcriptional signature to be present when comparing it against the transcriptional background of a cardiac immune population. Bajpai_2018 = CCR2-MERTK⁺ tissue-resident macrophages from ref. ⁵¹. Dick_2019 = self-renewing tissue macrophages from ref. ⁴⁵. Bian_2020 = yolk sac-derived macrophages from ref. ⁹⁰. The complete signature can be found in Supplementary Table 19. b, Expression (log₂FC) of LYVE1, FOLR2 and TIMD4 characteristic of the self-renewing tissue-resident murine macrophages previously described⁴⁵, as well as MERTK as previously described⁵¹ and the TREM2 expression associated to lipid-associated macrophages (LAM) previously described⁴⁶. Complete signatures can be found in Supplementary Table 19. c, Scaled expression (log₂FC) of genes differentiating DOCK4⁺ MP1 from DOCK4⁺ MP2: IL4R, ITGAM, STAT3, DOCK1, HIF1A and RASA2. d, Predicted cell–cell interactions calculated for 69,295 cardiomyocytes, fibroblasts and myeloid cells from 14 donors (n = 14) and enriched for ‘extracellular matrix organization’. Mean of combined gene expression of interacting pairs (log₂FC). Data are available in Supplementary Table 17. e, Spatial mapping of the CD74–MIF interaction between LYVE1⁺MP and FB4 on a publicly available 10X Genomics Visium dataset for left ventricular myocardium. We identified four spots where we observe co-expression of FN1, LYVE1, CD74 and MIF, as predicted from the cell–cell interactions. The bar represents the log₂FC. f, Confusion matrix for the logistic regression model trained on cardiac immune cells. This model reached an accuracy score of 0.6862, showing a stronger accuracy with lymphoid cells, compared with the myeloid ones.