{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE280nnn/GSE280871/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Transcriptomics"],"species":["Danio rerio"],"gds_type":["Expression profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE280871"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Identifying transcription factors distinguishing regenerating cardiomyocytes in the zebrafish heart using single cell transcriptomics","description":"Zebrafish 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.","dates":{"publication":"2026/09/01"},"accession":"GSE280871","cross_references":{"GSM":["GSM8606770","GSM8606769","GSM8606768"],"GPL":["24995"],"GSE":["280871"],"taxon":["Danio rerio"],"PMID":["[42645184]"]}}