GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE280nnn/GSE280871/primaryOK200TranscriptomicsDanio rerioExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE280871GEOGSEfalseIdentifying transcription factors distinguishing regenerating cardiomyocytes in the zebrafish heart using single cell transcriptomicsZebrafish hearts present a remarkable regenerative capacity upon injury, constituting a valuable source of information for cardiomyocyte (CM) cycle re-entry/proliferation. Understanding which factors contribute for zebrafish heart regeneration is crucial for developing regeneration-inducing strategies as mammalian hearts are limited in regenerative capacity. Exploring further our recently published optimized approach for increasing the single cell RNA sequencing (scRNA-seq) resolution specifically CMs, we have systematically evaluated transcription factors (TFs) defining regenerating zebrafish CMs. Here, after the scRNA-seq analysis, we observed a CM cycling cluster exclusively present in zebrafish injured hearts, which allowed us to identify potential TFs.2026/09/01GSE280871GSM8606770GSM8606769GSM860676824995280871Danio rerio