Fig. 2: CIBERSORTx deconvolution confirms enrichment of FCGR3A+ cells in biopsies with rejection.

a Experimental Approach. scRNAseq-derived signature matrix KTB18 was used for deconvolution of the dataset GSE147089 encompassing 224 transcriptomes from kidney biopsies. Created using biorender.com. b Polar plot of the 224 biopsies. The biopsies were reclassified into 6 groups: non-rejecting donor-specific antibody (NR DSA)-negative (NR DSA-), NR DSA-positive (NR DSA+), T cell-mediated rejection (TCMR), antibody-mediated rejection DSA-positive (ABMR DSA+), ABMR, DSA-negative histology of ABMR (ABMRh DSA-), and mixed rejection. c Pearson’s correlation coefficient is represented by a dot, with 95% confident interval shown as error bars, for the correlation between inflammation severity and frequency of different immune cells as a proportion of the total cell population (n = 224 biopsies). d Correlogram of the indicated immune cell proportions and Banff histological lesions using Pearson’s correlation. Colors indicate correlation coefficient. i, interstitial inflammation; ptc, peritubular capillaritis; v, vasculitis; mvi (g+ptc), microvascular inflammation; t, tubulitis. e, f Frequency of the indicated cell subsets measured by deconvolution and stratified according to clinical outcome. The difference between groups was assessed by a two-tailed Kruskal-Wallis test and multiple comparisons using the Dunn’s test. Data were obtained from the GSE147089 test set²³ f Data derived from the public GSE36059 validation set⁸³.