Figure 2—figure supplement 2.

(A–D) The 14 days post incubation (dpi) BirA2-GFP BioID2 data set (normalized to uninjured, p<0.05) was compared to three RNA-seq data sets (Wu et al., 2016; Kang et al., 2016; Ben-Yair et al., 2019) and one ChIP-seq (H3.3) data set (Goldman et al., 2017). For RNA-seq data sets (A–C), expression levels have been normalized to uninjured controls and genes with differences of significance p<0.05 were considered. (A) RNA-seq data set from Kang et al., 2016, where 14 dpi whole hearts were used. 37 genes were identified in both data sets, with a correlation coefficient r = 0.39. (B) RNA-seq data set from Ben-Yair et al., 2019, in which purified gata4-expressing cells were examined for transcriptome changes at 5 dpa. 75 genes were represented in both data sets, with a correlation coefficient r = 0.18. (C) RNA-seq data set from Wu et al., 2016, where 7 days post cryoinjury whole hearts (border zone) were used. 160 genes were identified among both data sets, with a correlation coefficient r = 0.2. (D) ChIP-seq data set from Goldman et al., 2017, in which genes with changes in enrichment for a cardiomyocyte-restricted, tagged H3.3 protein at promoters were used in comparison. Promoters were defined as between 5 kb upstream and 2 kb downstream from the gene start site. FDR < 0.05 for significant differential sites, and p<0.05. 30 genes were identified among both data sets.